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商品コード MM091220848958
出版日 2024/4/2
MarketsandMarkets
英文280 ページグローバル

偽画像検出(フェイク画像検知)市場 - オファリング別、対象ユーザー別、技術別、用途別、展開モード別、組織規模別、バーティカル別、地域別:世界市場規模・市場予測レポート(〜2029年)

Fake Image Detection Market by Offering (Solutions and Services), Target User, Technology, Application, Deployment Mode (On-premises and Cloud), Organization Size (Large Enterprises and SMEs), Vertical and Region - Global Forecast to 2029


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商品コード MM091220848958◆2025年4月版も出版されている時期ですので、お問い合わせ後すぐに確認いたします。
出版日 2024/4/2
MarketsandMarkets
英文 280 ページグローバル

偽画像検出(フェイク画像検知)市場 - オファリング別、対象ユーザー別、技術別、用途別、展開モード別、組織規模別、バーティカル別、地域別:世界市場規模・市場予測レポート(〜2029年)

Fake Image Detection Market by Offering (Solutions and Services), Target User, Technology, Application, Deployment Mode (On-premises and Cloud), Organization Size (Large Enterprises and SMEs), Vertical and Region - Global Forecast to 2029



全体要約

偽画像検出市場は、2024年に6億ドルから2029年には39億ドルに成長すると予測されています。年平均成長率(CAGR)は41.6%です。この市場の拡大は、デジタルコンテンツの信頼性が問われる中で、信頼性と真実性を重視する動きから来ています。特にBFSIセグメントや大企業が大きな市場シェアを占めています。北米はこの技術の導入が最も進んでおり、偽情報対策として速報性のある画像分析アルゴリズムが活用されています。

また、政府も偽画像検出技術を導入し、偽情報の拡散を防ぐ必要性を認識しています。具体的には、政府機関がソーシャルメディアやニュースサイト上の加工された画像を迅速に特定することで、公共の信頼を守るための取り組みを強化しています。主要ベンダーには、Microsoft、Truepic、Clearview AIなどが含まれており、テクノロジーの進化が市場の成長を後押ししています。

関連する質問

0.6 billion USD (2024)

41.6% (2024-2029)

Microsoft Corporation, Gradiant, Facia, Image Forgery Detector, Q-integrity, iDenfy, DuckDuckGoose AI, Primeau Forensics, Sentinel AI, iProov, Sensity AI, Truepic, BioID, Reality Defender, Clearview AI, Kairos

AIおよびMLの進歩, ディープフェイクの脅威, 画像にデジタル署名を埋め込むカメラ技術の進歩


概要

偽画像検出市場の規模は、2024年に6億米ドルから2029年には39億米ドルに成長することが予測されており、予測期間中の年平均成長率(CAGR)は41.6%です。偽画像検出ソリューションの採用は、デジタル信頼と信憑性を育むことに対する強調が高まっているためです。特にソーシャルメディアプラットフォームやオンラインニュースメディア上でデジタルコンテンツの信頼性がますます疑問視される時代において、視覚情報の真実性を確認できる手段に対する需要が高まっています。効果的な偽画像検出技術を実装することによって、組織は透明性と誠実性へのコミットメントを示し、ユーザーの信頼を高め、ブランドの信頼性を強化し、より信頼できるデジタル環境を育成することができます。
業種別では、BFSIセグメントがより大きな市場シェアを占めています。
政府部門は、誤情報と虚偽情報の蔓延に対抗するために、フェイク画像検出技術をますます採用しています。偽情報の拡散が社会的および政治的に深刻な影響をもたらす可能性があるこの時代において、政府は公共の信頼と民主的な健全性を守る必要性を認識しています。先進の画像分析アルゴリズムを展開することにより、当局はソーシャルメディアプラットフォーム、ニュース媒体、その他のオンラインチャネルで流通する操作されたり、作成された画像を迅速に特定し、フラグを立てることができます。この積極的なアプローチは、フェイク画像による潜在的な損害を軽減するのに役立つだけでなく、不道徳な目的のために公共の感情を利用しようとする悪意のある行為者に対する抑止力としても機能します。さらに、デジタルコンテンツにおける透明性と信頼性を促進することにより、政府はデジタル時代において民主主義の原則を維持するために重要な、より情報に基づいた、強靭な市民を育成することができます。
大企業は、組織の規模によってより大きな市場シェアを占めています。
大企業は1,000人以上の従業員を持っています。大企業セグメントは、グローバルなフェイク画像検出市場においてより大きな収益シェアを占めると予測されています。画像の変更を識別できる高度なAIアルゴリズムの台頭に伴い、企業はデジタルプラットフォーム上での誤情報や詐欺コンテンツの拡散から守るために、これらのソリューションにますます目を向けています。フェイク画像検出ツールをワークフローに統合することにより、企業は欺瞞的な画像に関連するリスクを軽減でき、オンラインプレゼンスの信頼性と信用性を確保できます。この採用は、消費者やステークホルダーとの信頼を維持し、デジタル時代におけるブランドイメージの整合性を守るための積極的な姿勢を反映しています。
地域別では、北米が予測期間中に最も高い市場規模を占めています。
北米は、予測期間中にフェイク画像検出市場をリードすることが予測されています。北米では、誤情報や画像の操作に対する懸念の高まりにより、フェイク画像検出技術の採用が着実に増加しています。ソーシャルメディアやデジタルコンテンツの普及に伴い、フェイク画像が人々をだまし、誤解を招く可能性が高まっています。その結果、企業、メディア機関、政府機関は、視覚コンテンツを認証し、信頼性を守り、誤情報の拡散から保護するためにフェイク画像検出ソリューションに投資しています。コンピュータビジョン、機械学習、デジタル画像フォレンジックにおける技術革新は、より洗練された検出アルゴリズムの開発を促進し、これらのソリューションをより効果的でアクセスしやすくしています。さらに、規制上の圧力や透明性に対する公共の需要は、さまざまなセクターでのフェイク画像検出ツールの採用をさらに促進しています。全体として、北米のフェイク画像検出市場は、デジタル時代における視覚コンテンツの整合性と信頼性を優先する組織により、引き続き成長する見込みです。
一次選挙の内訳
この調査には、部品供給業者からTier 1企業やOEMまで、さまざまな業界専門家からの洞察が含まれています。一次情報の内訳は以下の通りです:
会社タイプ別: Tier 1 – 35%、Tier 2 – 45%、Tier 3 – 20%
• 役職別:Cレベル - 40%、マネージャーおよびその他のレベル - 60%
地域別: 北米 – 20%、ヨーロッパ – 35%、アジア太平洋 – 45%
フェイク画像検出市場の主要ベンダーには、Microsoft Corporation(米国)、Gradiant(スペイン)、Facia(英国)、Image Forgery Detector(ベルギー)、Q-integrity(スイス)、iDenfy(リトアニア)、DuckDuckGoose AI(オランダ)、Primeau Forensics、Sentinel AI(エストニア)、iProov(英国)、Sensity AI(オランダ)、Truepic(米国)、BioID(ドイツ)、Reality Defender(米国)、Clearview AI(米国)、Kairos(米国)が含まれます。
この研究は、フェイク画像検出市場における主要プレーヤーの詳細な競争分析、企業プロフィール、最近の動向、および主要な市場戦略を含んでいます。
研究範囲
このレポートは、フェイク画像検出市場をセグメント化しています。提供(ソリューションとサービス)、ターゲットユーザー(個人、プロフェッショナル、エンタープライズグレード)、技術(機械学習、深層学習、画像フォレンジックス)、デプロイメントモード(オンプレミスとクラウド)、組織の規模(大企業および中小企業)、アプリケーション(ソーシャルメディアとコンテンツモデレーション、デジタルフォレンジックス、詐欺検出、医療および医療画像、採用)、業種(政府、銀行、金融サービス、保険(BFSI)、ヘルスケア、通信、実業、不動産、メディア&エンターテイメント、その他の業種)、地域(北米、ヨーロッパ、アジア太平洋、中東&アフリカ、ラテンアメリカ)による市場規模を予測しています。
この調査には、市場の主要プレイヤーに関する詳細な競争分析、その企業プロフィール、製品およびビジネスオファリングに関連する重要な観察、最近の動向、そして主要な市場戦略が含まれています。
報告書購入の主な利点
このレポートは、市場リーダーや新規参入者が、全体のフェイク画像検出市場およびサブセグメントの収益数値に対する最も近い推定値に関する情報を得るのに役立ちます。このレポートは、ステークホルダーが競争環境を理解し、自社の位置付けを向上させ、適切な市場進出戦略を計画するための洞察を得るのに役立ちます。また、このレポートは、ステークホルダーが市場の動向を理解し、市場の主要な推進要因、制約、課題、および機会に関する情報を提供します。
この報告書は以下のポイントに関する洞察を提供します。
• 主要な要因の分析(AIとMLの進歩、ディープフェイクの増加がデジタルアイデンティティに脅威をもたらします)、制約(画像操作の進化する技術、画像データの量と多様性)、機会(デジタル署名を画像に埋め込むカメラ技術の進歩、ビッグデータ分析の需要の増加)、および課題(ディープフェイクに対する認識不足とプライバシーの懸念)
・製品開発/革新:フェイク画像検出市場における次世代技術、研究開発活動、新製品およびサービスの発表に関する詳細な洞察。
市場の発展:利益のある市場に関する包括的な情報 – 本報告書は、さまざまな地域における偽画像検出市場を分析しています。
市場の多様化:偽画像検出市場における新製品やサービス、未開拓の地域、最近の動向、及び投資に関する詳細な情報です。
競争評価:マイクロソフト社(米国)、グラディアント(スペイン)、ファシア(英国)、画像偽造検出器(ベルギー)、Q-integrity(スイス)、iDenfy(リトアニア)、DuckDuckGoose AI(オランダ)、プライモー法医学、センチネルAI(エストニア)、iProov(英国)、センサイティAI(オランダ)、Truepic(米国)、BioID(ドイツ)、リアリティディフェンダー(米国)、クリアビューAI(米国)、及びカイロス(米国)などの主要プレイヤーの市場シェア、成長戦略、サービス提供の詳細な評価、偽画像検出市場戦略の中で。

※以下の目次にて、具体的なレポートの構成をご覧頂けます。ご購入、無料サンプルご請求、その他お問い合わせは、ページ上のボタンよりお進みください。

目次

  • 1 イントロダクション 50

    • 1.1 調査の目的 50
    • 1.2 市場の定義 50
      • 1.2.1 包含・除外事項 51
    • 1.3 市場範囲 53
      • 1.3.1 市場セグメンテーション 53
      • 1.3.2 対象地域 54
    • 1.4 対象年 54
    • 1.5 通貨 55
    • 1.6 ステークホルダー 55
  • 2 調査手法 56

    • 2.1 リサーチデータ 56
      • 2.1.1 二次データ 57
      • 2.1.2 一次データ 57
        • 2.1.2.1 プライマリー内訳 57
        • 2.1.2.2 業界についての主な考察 58
    • 2.2 データのトライアンギュレーション 59
    • 2.3 市場規模予測 60
      • 2.3.1 トップダウンアプローチ 60
      • 2.3.2 ボトムアップアプローチ 62
    • 2.4 市場予測 63
    • 2.5 企業評価方法 64
      • 2.5.1 新興企業向け 64
    • 2.6 前提 65
    • 2.7 制約 66
  • 3 エグゼクティブサマリー 67

  • 4 更なる考察 71

    • 4.1 偽画像検出市場プレイヤーにとって魅力的な事業機会 71
    • 4.2 偽画像検出の市場、オファリング別 71
    • 4.3 偽画像検出市場、ターゲットユーザー別 72
    • 4.4 偽画像検出の市場、技術別 72
    • 4.5 偽画像検出の市場、用途別 73
    • 4.6 偽画像検出の市場、展開モード別 73
    • 4.7 偽画像検出の市場、組織規模別 74
    • 4.8 偽画像検出の市場、バーティカル別 74
    • 4.9 マーケット・インベストメントシナリオ 75
  • 5 市場概要・業界トレンド 76

    • 5.1 イントロダクション 76
    • 5.2 市場ダイナミクス 76
      • 5.2.1 促進要因 77
        • 5.2.1.1 AIとMLの進歩 77
        • 5.2.1.2 デジタルIDを脅かすディープフェイクの増加 77
        • 5.2.1.3 誤った情報の急速な拡散 79
      • 5.2.2 抑制要因 79
        • 5.2.2.1 進化する画像加工技術 79
        • 5.2.2.2 画像データの量と多様性 79
      • 5.2.3 市場機会 79
        • 5.2.3.1 デジタル署名を画像に埋め込むカメラ技術の進歩 79
        • 5.2.3.2 ビッグデータ分析の需要増 80
      • 5.2.4 課題 80
        • 5.2.4.1 ディープフェイクへの認識不足 80
        • 5.2.4.2 プライバシー懸念 81
    • 5.3 偽画像検出技術の進化 82
      • 5.3.1 デジタル時代とフォトショップ(1980年代) 82
      • 5.3.2 イメージ・フォレンジックの登場(1990年代) 82
      • 5.3.3 センサーパターンノイズ解析 (2008) 82
      • 5.3.4 コンテンツに基づく画像偽造検出 (2010年代) 82
      • 5.3.5 ディープラーニングとニューラルネットワーク(2010年代) 83
      • 5.3.6 画像認証のためのブロックチェーン(2010年代) 83
      • 5.3.7 GANとディープフェイクへの挑戦(2010年代) 83
      • 5.3.8 ディープフェイク検出の進歩(2020年代) 83
      • 5.3.9 ソーシャルメディア・プラットフォームとの統合(現在) 83
    • 5.4 ケーススタディ分析 83
    • 5.5 バリューチェーン分析 85
      • 5.5.1 プランニングとデザイン 85
      • 5.5.2 偽画像検出ソフトウェア・プロバイダー 86
      • 5.5.3 システムインテグレーター 86
      • 5.5.4 ディストリビューション 86
      • 5.5.5 エンドユーザー 86
    • 5.6 エコシステム分析 86
    • 5.7 ポーターのファイブフォース分析 87
      • 5.7.1 新規参入の脅威 88
      • 5.7.2 サプライヤーの交渉力 88
      • 5.7.3 買い手の交渉力 89
      • 5.7.4 代替品の脅威 89
      • 5.7.5 競合・競争状況の激しさ 89
    • 5.8 価格分析 89
      • 5.8.1 主要プレイヤーの平均販売価格トレンド、オファリング別 89
      • 5.8.2 指標価格分析 90
        • 5.8.2.1 偽画像検出ソリューションの指標価格分析 90
    • 5.9 技術分析 91
      • 5.9.1 キーテクノロジー 91
        • 5.9.1.1 ディープラーニングとニューラルネットワーク 91
        • 5.9.1.2 畳み込みニューラルネットワーク(CNN) 92
        • 5.9.1.3 生成的逆数ネットワーク (GANs) 92
        • 5.9.1.4 ブロックチェーン 92
      • 5.9.2 補完的テクノロジー 92
        • 5.9.2.1 コンピュータービジョン 92
        • 5.9.2.2 マルチモーダル分析 93
      • 5.9.3 アディショナルテクノロジー 93
        • 5.9.3.1 人工知能(C3749AI) 93
        • 5.9.3.2 機械学習 (ML) 93
    • 5.10 特許分析 94
      • 5.10.1 偽画像検出市場 94
    • 5.11 顧客事業にインパクトのあるトレンド/ディスラプション 97
    • 5.12 技術ロードマップ 97
      • 5.12.1 2030年までの偽画像検出技術ロードマップ 97
        • 5.12.1.1 短期ロードマップ(2023-2025年) 97
        • 5.12.1.2 中期ロードマップ(2026年~2028年) 98
        • 5.12.1.3 長期ロードマップ(2029年~2030年) 99
    • 5.13 偽画像検出市場におけるベストプラクティス 99
      • 5.13.1 メタデータ分析 99
      • 5.13.2 逆画像検索 100
      • 5.13.3 画像フォレンジックツール 100
      • 5.13.4 ブレとノイズの分析 100
      • 5.13.5 電子透かし分析 100
      • 5.13.6 文脈分析 100
      • 5.13.7 顔と表情の分析 100
      • 5.13.8 機械学習モデル 100
      • 5.13.9 ブロックチェーンとデジタル署名 100
      • 5.13.10 人間の専門知識 100
      • 5.13.11 マルチモーダル・アプローチ 101
      • 5.13.12 ユーザーを教育 101
    • 5.14 規制の概観 101
      • 5.14.1 規制当局、政府機関、その他組織 101
        • 5.14.1.1 北米 103
          • 5.14.1.1.1 米国 103
        • 5.14.1.2 ヨーロッパ 103
        • 5.14.1.3 アジア太平洋 103
          • 5.14.1.3.1 インド 103
          • 5.14.1.3.2 中国 103
        • 5.14.1.4 中東・アフリカ 104
          • 5.14.1.4.1 アラブ首長国連邦 104
        • 5.14.1.5 ラテンアメリカ 104
          • 5.14.1.5.1 ブラジル 104
          • 5.14.1.5.2 メキシコ 104
    • 5.15 主なステークホルダーと購入基準 104
      • 5.15.1 購買プロセスにおける主要ステークホルダー 104
      • 5.15.2 購買基準 105
    • 5.16 2023-2024年の主なカンファレンス&イベント 106
    • 5.17 投資風景 106
  • 6 偽画像検出の市場、製品別 107

    • 6.1 イントロダクション 107
    • 6.2 機能 107
      • 6.2.1 基本検出 107
      • 6.2.2 高度な分析 107
      • 6.2.3 コンテンツ・モデレーション 108
      • 6.2.4 科学捜査分析 108
    • 6.3 統合レベル 109
      • 6.3.1 スタンドアローン用途 109
      • 6.3.2 APIとSDK 109
      • 6.3.3 クラウドベースサービス 110
  • 7 偽画像検出の市場、オファリング別 111

    • 7.1 イントロダクション 112
      • 7.1.1 オファリング:偽画像検出市場のドライバー 113
    • 7.2 ソリューション 113
      • 7.2.1 画像偽造やコンテンツ改ざんの増加に伴い、偽画像検出ソリューションの採用が増加 113
      • 7.2.2 フォトショップ画像検出 113
      • 7.2.3 ディープフェイク画像検出 114
      • 7.2.4 AI生成コンテンツの検出 114
      • 7.2.5 コンテンツの真正性検証 114
      • 7.2.6 リアルタイム検出 114
      • 7.2.7 ブラウザ拡張機能 115
      • 7.2.8 モバイルアプリ 115
    • 7.3 サービス 116
      • 7.3.1 偽画像検出のプロアクティブモニタリングとレスポンシブメンテナンスサービス 116
      • 7.3.2 コンサルティング 117
      • 7.3.3 デプロイメント・インテグレーション 117
      • 7.3.4 サポートとメンテナンス 117
  • 8 偽画像検出の市場、展開モード別 118

    • 8.1 イントロダクション 119
      • 8.1.1 展開モード:偽画像検出市場のドライバー 120
    • 8.2 クラウド 120
      • 8.2.1 クラウド展開による偽画像検出機能の強化 120
    • 8.3 オンプレミス 121
      • 8.3.1 偽画像検出におけるオンプレミス展開によるデータ管理の最大化 121
  • 9 偽画像検出の市場、組織規模別 123

    • 9.1 イントロダクション 124
      • 9.1.1 組織規模:偽画像検出市場のドライバー 125
    • 9.2 大企業 125
    • 9.3 中小企業(SME) 126
  • 10 偽画像検出市場、ターゲットユーザー別 128

    • 10.1 イントロダクション 129
      • 10.1.1 ターゲットユーザー:偽画像検出市場のドライバー 130
    • 10.2 個人 130
      • 10.2.1 個人ユーザーの間で高まる偽画像に対する意識 130
    • 10.3 プロフェッショナル 131
    • 10.4 企業グレード 132
      • 10.4.1 操作されるメディアの増加と誤報に対抗する必要性 132
  • 11 偽画像検出の市場、技術別 134

    • 11.1 イントロダクション 135
      • 11.1.1 技術:偽画像検出市場のドライバー 136
    • 11.2 機械学習とディープラーニング 136
      • 11.2.1 偽画像検出におけるディープラーニングの重要な役割 136
      • 11.2.2 畳み込みニューラルネットワーク(CNN) 137
      • 11.2.3 生成的敵対ネットワーク (GAN) 137
    • 11.3 イメージ・フォレンジック 137
  • 12 偽画像検出の市場、用途別 140

    • 12.1 イントロダクション 141
      • 12.1.1 アプリケーション:偽画像検出市場のドライバー 142
    • 12.2 ソーシャルメディアとコンテンツ・モデレーション 142
    • 12.3 デジタルフォレンジック 143
    • 12.4 不正行為の検知 144
    • 12.5 ヘルスケアとメディカルイメージング 145
    • 12.6 採用情報 146
      • 12.6.1 画像認証による採用効率の向上 146
  • 13 偽画像検出の市場、バーティカル別 148

    • 13.1 イントロダクション 149
      • 13.1.1 バーティカル:偽画像検出市場のドライバー 150
    • 13.2 銀行・金融サービス・保険 (BFSI) 151
      • 13.2.1 本人確認、書類確認、保険金請求における偽画像検出ソリューションの利用増加 151
      • 13.2.2 銀行、金融サービス、保険 (BFSI):偽画像検出のユースケース 151
        • 13.2.2.1 文書認証 151
        • 13.2.2.2 本人確認 151
        • 13.2.2.3 保険金請求の確認 151
        • 13.2.2.4 偽造検出 151
    • 13.3 通信 152
      • 13.3.1 偽画像検出でネットワークの完全性を守る 152
      • 13.3.2 通信:偽画像検出ユースケース 153
        • 13.3.2.1 ネットワークセキュリティモニタリング 153
        • 13.3.2.2 本人確認 153
        • 13.3.2.3 コンテンツ・モデレーション 153
    • 13.4 政府 154
      • 13.4.1 偽情報に対抗するため、政府部門が偽画像検出を導入 154
      • 13.4.2 政府:偽画像検出ユースケース 154
        • 13.4.2.1 法執行と国家安全保障 154
        • 13.4.2.2 国境警備と入国管理 154
        • 13.4.2.3 災害対応と危機管理 154
        • 13.4.2.4 公共安全と緊急対応 154
    • 13.5 ヘルスケア 155
      • 13.5.1 ディープフェイクに対抗する偽画像検出技術の活用 155
      • 13.5.2 ヘルスケア:偽画像検出ユースケース 156
        • 13.5.2.1 医療画像認証 156
        • 13.5.2.2 遠隔医療画像検証 156
        • 13.5.2.3 手術画像の検証 156
    • 13.6 不動産 157
      • 13.6.1 偽画像検出でリスティングの透明性を確保 157
      • 13.6.2 不動産:偽画像検出ユースケース 157
        • 13.6.2.1 リスト検証 157
        • 13.6.2.2 不動産所有権の確認 157
        • 13.6.2.3 物件状況評価 157
    • 13.7 メディア・エンターテインメント 158
      • 13.7.1 ソーシャルメディア・プラットフォームにおけるディープフェイクの増加 158
      • 13.7.2 メディア・エンターテインメント:偽画像検出ユースケース 158
        • 13.7.2.1 ソーシャルメディア・コンテンツのモデレーション 158
        • 13.7.2.2 広告・マーケティング 158
        • 13.7.2.3 ブランド保護 158
    • 13.8 その他のバーティカル 159
      • 13.8.1 その他のバーティカル:偽画像検出ユースケース 160
        • 13.8.1.1 自動車保険請求 160
        • 13.8.1.2 オンライン試験監視 160
        • 13.8.1.3 レストラン・レビュー 160
  • 14 偽画像検出の市場、地域別 161

    • 14.1 イントロダクション 162
    • 14.2 北米 163
      • 14.2.1 北米:偽画像検出市場のドライバー 163
      • 14.2.2 北米:規制の概観 164
      • 14.2.3 米国 169
      • 14.2.4 カナダ 173
        • 14.2.4.1 カナダで高まるディープフェイクへの懸念 173
    • 14.3 ヨーロッパ 178
      • 14.3.1 ヨーロッパ:偽画像検出市場のドライバー 178
      • 14.3.2 ヨーロッパ:規制の概観 178
      • 14.3.3 英国 184
      • 14.3.4 ドイツ 187
        • 14.3.4.1 ドイツの高度な偽画像検出法に注目 187
      • 14.3.5 フランス 191
      • 14.3.6 イタリア 194
        • 14.3.6.1 イタリアで画像操作撲滅のための研究イニシアティブが高まる 194
      • 14.3.7 その他のヨーロッパ 198
    • 14.4 アジア太平洋 202
      • 14.4.1 アジア太平洋:偽画像検出市場のドライバー 202
      • 14.4.2 アジア太平洋:規制の概観 203
      • 14.4.3 中国 207
        • 14.4.3.1 ディープフェイク撲滅に向けた政府の取り組み 207
      • 14.4.4 日本 211
      • 14.4.5 インド 215
        • 14.4.5.1 インドにおけるディープフェイクの増加で市場が活性化 215
      • 14.4.6 その他のアジア太平洋 218
    • 14.5 中東・アフリカ 222
      • 14.5.1 中東・アフリカ:偽画像検出市場のドライバー 222
      • 14.5.2 中東・アフリカ:規制の概観 223
      • 14.5.3 中東 227
      • 14.5.4 アフリカ 228
        • 14.5.4.1 アフリカにおけるAI技術の進歩が市場を活性化させる 228
    • 14.6 ラテンアメリカ 228
      • 14.6.1 ラテンアメリカ:偽画像検出市場のドライバー 228
      • 14.6.2 規制の概観 228
      • 14.6.3 ブラジル 233
        • 14.6.3.1 ブラジルで高まる誤報拡散への懸念 233
      • 14.6.4 メキシコ 237
      • 14.6.5 その他のラテンアメリカ 240
  • 15 競合情勢 245

    • 15.1 概要 245
    • 15.2 主要企業の成功戦略 245
    • 15.3 収益分析 246
    • 15.4 市場シェア分析 247
    • 15.5 PRODUCT/BRAND COMPARISON 249
    • 15.6 スタートアップ/中小企業評価マトリックス 249
      • 15.6.1 PROGRESSIVE COMPANIES 250
      • 15.6.2 RESPONSIVE COMPANIES 250
      • 15.6.3 DYNAMIC COMPANIES 250
      • 15.6.4 STARTING BLOCKS 250
      • 15.6.5 競合ベンチマーキング:スタートアップ/中小企業 251
    • 15.7 COMPETITIVE SCENARIO AND TRENDS 254
      • 15.7.1 製品ローンチ・開発 254
      • 15.7.2 ディール 255
    • 15.8 HARDWARE PLAYERS OVERVIEW 255
      • 15.8.1 クアルコム 255
        • 15.8.1.1 直近の動向 255
      • 15.8.2 ソニー 255
      • 15.8.3 キヤノン 256
      • 15.8.4 その他 256
  • 16 企業プロファイル 257

    • 16.1 主要企業 257
      • 16.1.1 MICROSOFT 257
      • 16.1.2 IPROOV 260
      • 16.1.3 GRADIANT 262
      • 16.1.4 PRIMEAU FORENSICS 264
      • 16.1.5 KAIROS 266
      • 16.1.6 TRUEPIC 267
      • 16.1.7 BIOID 268
    • 16.2 STARTUPS 269
      • 16.2.1 画像偽造検出器 269
      • 16.2.2 量子完全性 270
      • 16.2.3 ダックダックグースAI 271
      • 16.2.4 センチネルAI 272
      • 16.2.5 リアリティ・ディフェンダー 272
      • 16.2.6 クリアビューAI 273
      • 16.2.7 センシティAI 273
      • 16.2.8 ファシア 274
      • 16.2.9 イデンフィ 275
  • 17 関連市場 276

    • 17.1 関連市場市場の基礎 276
      • 17.1.1 制約 276
    • 17.2 本人確認市場 277
    • 17.3 人工知能(AI)市場 281
  • 18 付録 288

    • 18.1 ディスカッションガイド 288
    • 18.2 ナレッジストア 293
    • 18.3 カスタマイズオプション 295
    • 18.4 関連レポート 295
    • 18.5 執筆者の詳細 296

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Description

The fake image detection market size is projected to grow from USD 0.6 billion in 2024 to USD 3.9 billion by 2029 at a Compound Annual Growth Rate (CAGR) of 41.6% during the forecast period. the adoption of fake image detection solutions is the growing emphasis on fostering digital trust and authenticity. In an era where the credibility of digital content is increasingly questioned, particularly on social media platforms and online news outlets, there is a heightened demand for measures that can authenticate the veracity of visual information. By implementing effective fake image detection technologies, organizations can demonstrate their commitment to transparency and integrity, thereby bolstering user confidence, enhancing brand credibility, and cultivating a more trustworthy digital environment. "By vertical, the BFSI segment accounts for a larger market share." Government sector is increasingly adopting fake image detection technologies to combat the proliferation of misinformation and disinformation. In an era where the spread of false information can have profound societal and political consequences, governments recognize the urgent need to safeguard public trust and democratic integrity. By deploying advanced image analysis algorithms, authorities can swiftly identify, and flag manipulated or fabricated images circulated on social media platforms, news outlets, and other online channels. This proactive approach not only helps in mitigating the potential damage caused by fake images but also serves as a deterrent against malicious actors seeking to exploit public sentiment for immoral purposes. Moreover, by promoting transparency and authenticity in digital content, governments can foster a more informed and resilient citizenry, crucial for upholding democratic principles in the digital age. "Large enterprises account for a larger market share by organization size." Large enterprises have more than 1,000 employees. The large enterprises segment is projected to account for a larger revenue share in the global fake image detection market. With the rise of sophisticated AI algorithms capable of identifying alterations in images, enterprises are increasingly turning to these solutions to safeguard against the spread of misinformation and fraudulent content across their digital platforms. By integrating fake image detection tools into their workflow, companies can mitigate risks associated with deceptive images, ensuring the authenticity and credibility of their online presence. This adoption reflects a proactive stance towards maintaining trust with consumers and stakeholders, as well as upholding the integrity of their brand image in this digital age. By region, North America accounts for the highest market size during the forecast period. North America is projected to lead the fake image detection market during the forecast period. In North America, the adoption of fake image detection technology has been steadily increasing due to growing concerns surrounding misinformation and image manipulation. With the proliferation of social media and digital content, there's a heightened awareness of the potential for fake images to deceive and misinform. As a result, businesses, media organizations, and government agencies are investing in fake image detection solutions to authenticate visual content, safeguard their credibility, and protect against the spread of misinformation. Technological advancements in computer vision, machine learning, and digital image forensics have fueled the development of more sophisticated detection algorithms, making these solutions more effective and accessible. Additionally, regulatory pressures and public demand for transparency further drive the adoption of fake image detection tools across various sectors. Overall, the North American market for fake image detection is poised for continued growth as organizations prioritize the integrity and authenticity of visual content in the digital age. Breakdown of primaries The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows: • By Company Type: Tier 1 – 35%, Tier 2 – 45%, and Tier 3 – 20% • By Designation: C-level – 40% and Managerial and Other Levels – 60% • By Region: North America – 20%, Europe – 35%, and Asia Pacific – 45% Major vendors in the Fake image detection market include Microsoft Corporation (US), Gradiant (Spian), Facia (UK), Image Forgery Detector (Belgium), Q-integrity (Switzerland), iDenfy (Lithuania), DuckDuckGoose AI (Netherlands), Primeau Forensics, Sentinel AI (Estonia), iProov (UK), Sensity AI (Netherlands), Truepic (US), BioID (Germany), Reality Defender (US), Clearview AI (US), and Kairos (US). The study includes an in-depth competitive analysis of the key players in the fake image detection market, their company profiles, recent developments, and key market strategies. Research Coverage The report segments the fake image detection market. It forecasts its size by Offering (Solutions and Services), Target User (Individual, Professional, and Enterprise Grade), Technology (ML ,DL and Image Forensics), Deployment Mode (On-premises and Cloud), Organization Size (Large Enterprises, and Small and Medium Enterprises (SMEs)), Application (Social media and content moderation, Digital forensics, Fraud Detection, Healthcare and medical imaging, Recruitment)Vertical (Government, Banking, Financial Services, and Insurance (BFSI), Healthcare, Telecom, Real Estate, Media & Entertainment, and Other Verticals) and Region (North America, Europe, Asia pacific, Middle East & Africa and Latin America). The study also includes an in-depth competitive analysis of the market's key players, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies. Key Benefits of Buying the Report The report will help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall Fake image detection market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities. The report provides insights on the following pointers: • Analysis of key drivers (advancements in AI and ML, and increasing deep fakes pose a threat to digital identity ), restraints (evolving techniques of image manipulation and volume and diversity of image data), opportunities (advancements in camera technology embedding digital signatures in images and increase in demand for big data analytics), and challenges (Lack of awareness of deep fakes and privacy concerns) • Product Development/Innovation: Detailed insights on upcoming technologies, research development activities, new products, and service launches in the fake image detection market. • Market Development: Comprehensive information about lucrative markets – the report analyses the fake image detection market across varied regions. • Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the fake image detection market. • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players Microsoft Corporation (US), Gradiant (Spian), Facia (UK), Image Forgery Detector (Belgium), Q-integrity (Switzerland), iDenfy (Lithuania), DuckDuckGoose AI (Netherlands), Primeau Forensics, Sentinel AI (Estonia), iProov (UK), Sensity AI (Netherlands), Truepic (US), BioID (Germany), Reality Defender (US), Clearview AI (US), and Kairos (US) among others, in the fake image detection market strategies

Table of Contents

  • 1 INTRODUCTION 50

    • 1.1 STUDY OBJECTIVES 50
    • 1.2 MARKET DEFINITION 50
      • 1.2.1 INCLUSIONS AND EXCLUSIONS 51
    • 1.3 MARKET SCOPE 53
      • 1.3.1 MARKET SEGMENTATION 53
      • 1.3.2 REGIONS COVERED 54
    • 1.4 YEARS CONSIDERED 54
    • 1.5 CURRENCY CONSIDERED 55
    • 1.6 STAKEHOLDERS 55
  • 2 RESEARCH METHODOLOGY 56

    • 2.1 RESEARCH DATA 56
      • 2.1.1 SECONDARY DATA 57
      • 2.1.2 PRIMARY DATA 57
        • 2.1.2.1 Breakup of primaries 57
        • 2.1.2.2 Key industry insights 58
    • 2.2 DATA TRIANGULATION 59
    • 2.3 MARKET SIZE ESTIMATION 60
      • 2.3.1 TOP-DOWN APPROACH 60
      • 2.3.2 BOTTOM-UP APPROACH 62
    • 2.4 MARKET FORECAST 63
    • 2.5 COMPANY EVALUATION METHODOLOGY 64
      • 2.5.1 FOR STARTUPS 64
    • 2.6 ASSUMPTIONS 65
    • 2.7 LIMITATIONS 66
  • 3 EXECUTIVE SUMMARY 67

  • 4 PREMIUM INSIGHTS 71

    • 4.1 ATTRACTIVE OPPORTUNITIES FOR FAKE IMAGE DETECTION MARKET PLAYERS 71
    • 4.2 FAKE IMAGE DETECTION MARKET, BY OFFERING 71
    • 4.3 FAKE IMAGE DETECTION MARKET, BY TARGET USER 72
    • 4.4 FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY 72
    • 4.5 FAKE IMAGE DETECTION MARKET, BY APPLICATION 73
    • 4.6 FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE 73
    • 4.7 FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE 74
    • 4.8 FAKE IMAGE DETECTION MARKET, BY VERTICAL 74
    • 4.9 MARKET INVESTMENT SCENARIO 75
  • 5 MARKET OVERVIEW AND INDUSTRY TRENDS 76

    • 5.1 INTRODUCTION 76
    • 5.2 MARKET DYNAMICS 76
      • 5.2.1 DRIVERS 77
        • 5.2.1.1 Advancements in AI and ML 77
        • 5.2.1.2 Increasing deepfakes posing threat to digital identity 77
        • 5.2.1.3 Rapid spread of misinformation 79
      • 5.2.2 RESTRAINTS 79
        • 5.2.2.1 Evolving techniques of image manipulation 79
        • 5.2.2.2 Volume and diversity of image data 79
      • 5.2.3 OPPORTUNITIES 79
        • 5.2.3.1 Advancements in camera technology embedding digital signatures in images 79
        • 5.2.3.2 Increase in demand for big data analytics 80
      • 5.2.4 CHALLENGES 80
        • 5.2.4.1 Lack of awareness of deepfakes 80
        • 5.2.4.2 Privacy concerns 81
    • 5.3 FAKE IMAGE DETECTION TECHNOLOGY EVOLUTION 82
      • 5.3.1 DIGITAL ERA AND PHOTOSHOP (1980S) 82
      • 5.3.2 IMAGE FORENSICS EMERGES (1990S) 82
      • 5.3.3 SENSOR PATTERN NOISE ANALYSIS (2008) 82
      • 5.3.4 CONTENT-BASED IMAGE FORGERY DETECTION (2010S) 82
      • 5.3.5 DEEP LEARNING AND NEURAL NETWORKS (2010S) 83
      • 5.3.6 BLOCKCHAIN FOR IMAGE AUTHENTICATION (2010S) 83
      • 5.3.7 GANS AND DEEPFAKE CHALLENGES (2010S) 83
      • 5.3.8 ADVANCEMENTS IN DEEPFAKE DETECTION (2020S) 83
      • 5.3.9 INTEGRATION IN SOCIAL MEDIA PLATFORMS (PRESENT) 83
    • 5.4 CASE STUDY ANALYSIS 83
      • 5.4.1 IPROYAL REDUCED TIME TO VERIFY NEW USERS WHILE BUILDING CUSTOM-TAILORED KYC ONBOARDING FLOW 83
      • 5.4.2 MICROBLINK LEVERAGED LIVENESS DETECTION FOR QUICK, EASY, AND SECURE ID VERIFICATION 84
      • 5.4.3 PAYPAY STREAMLINED DIGITAL ONBOARDING WITH ENHANCED ID VERIFICATION 84
    • 5.5 VALUE CHAIN ANALYSIS 85
      • 5.5.1 PLANNING AND DESIGNING 85
      • 5.5.2 FAKE IMAGE DETECTION SOFTWARE PROVIDERS 86
      • 5.5.3 SYSTEM INTEGRATORS 86
      • 5.5.4 DISTRIBUTION 86
      • 5.5.5 END USERS 86
    • 5.6 ECOSYSTEM ANALYSIS 86
    • 5.7 PORTER'S FIVE FORCES ANALYSIS 87
      • 5.7.1 THREAT OF NEW ENTRANTS 88
      • 5.7.2 BARGAINING POWER OF SUPPLIERS 88
      • 5.7.3 BARGAINING POWER OF BUYERS 89
      • 5.7.4 THREAT OF SUBSTITUTES 89
      • 5.7.5 INTENSITY OF COMPETITIVE RIVALRY 89
    • 5.8 PRICING ANALYSIS 89
      • 5.8.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING 89
      • 5.8.2 INDICATIVE PRICING ANALYSIS 90
        • 5.8.2.1 Indicative pricing analysis of fake image detection solutions 90
    • 5.9 TECHNOLOGY ANALYSIS 91
      • 5.9.1 KEY TECHNOLOGIES 91
        • 5.9.1.1 Deep Learning and Neural Networks 91
        • 5.9.1.2 Convolutional Neural Networks (CNNs) 92
        • 5.9.1.3 Generative Adversarial Networks (GANs) 92
        • 5.9.1.4 Blockchain 92
      • 5.9.2 COMPLEMENTARY TECHNOLOGIES 92
        • 5.9.2.1 Computer Vision 92
        • 5.9.2.2 Multimodal Analysis 93
      • 5.9.3 ADJACENT TECHNOLOGIES 93
        • 5.9.3.1 Artificial Intelligence (AI) 93
        • 5.9.3.2 Machine Learning (ML) 93
    • 5.10 PATENT ANALYSIS 94
      • 5.10.1 FAKE IMAGE DETECTION MARKET 94
    • 5.11 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 97
    • 5.12 TECHNOLOGY ROADMAP 97
      • 5.12.1 FAKE IMAGE DETECTION TECHNOLOGY ROADMAP TILL 2030 97
        • 5.12.1.1 Short-term roadmap (2023-2025) 97
        • 5.12.1.2 Mid-term roadmap (2026-2028) 98
        • 5.12.1.3 Long-term roadmap (2029-2030) 99
    • 5.13 BEST PRACTICES IN FAKE IMAGE DETECTION MARKET 99
      • 5.13.1 METADATA ANALYSIS 99
      • 5.13.2 REVERSE IMAGE SEARCH 100
      • 5.13.3 IMAGE FORENSICS TOOLS 100
      • 5.13.4 BLUR AND NOISE ANALYSIS 100
      • 5.13.5 WATERMARK ANALYSIS 100
      • 5.13.6 CONTEXTUAL ANALYSIS 100
      • 5.13.7 FACE AND FACIAL EXPRESSION ANALYSIS 100
      • 5.13.8 MACHINE LEARNING MODELS 100
      • 5.13.9 BLOCKCHAIN AND DIGITAL SIGNATURES 100
      • 5.13.10 HUMAN EXPERTISE 100
      • 5.13.11 MULTI-MODAL APPROACHES 101
      • 5.13.12 EDUCATE USERS 101
    • 5.14 REGULATORY LANDSCAPE 101
      • 5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 101
        • 5.14.1.1 North America 103
          • 5.14.1.1.1 US 103
        • 5.14.1.2 Europe 103
        • 5.14.1.3 Asia Pacific 103
          • 5.14.1.3.1 India 103
          • 5.14.1.3.2 China 103
        • 5.14.1.4 Middle East & Africa 104
          • 5.14.1.4.1 UAE 104
        • 5.14.1.5 Latin America 104
          • 5.14.1.5.1 Brazil 104
          • 5.14.1.5.2 Mexico 104
    • 5.15 KEY STAKEHOLDERS & BUYING CRITERIA 104
      • 5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 104
      • 5.15.2 BUYING CRITERIA 105
    • 5.16 KEY CONFERENCES & EVENTS IN 2023-2024 106
    • 5.17 INVESTMENT LANDSCAPE 106
  • 6 FAKE IMAGE DETECTION MARKET, BY PRODUCT 107

    • 6.1 INTRODUCTION 107
    • 6.2 FUNCTIONALITY 107
      • 6.2.1 BASIC DETECTION 107
      • 6.2.2 ADVANCED ANALYSIS 107
      • 6.2.3 CONTENT MODERATION 108
      • 6.2.4 FORENSIC ANALYSIS 108
    • 6.3 INTEGRATION LEVEL 109
      • 6.3.1 STANDALONE APPLICATIONS 109
      • 6.3.2 APIS AND SDKS 109
      • 6.3.3 CLOUD-BASED SERVICES 110
  • 7 FAKE IMAGE DETECTION MARKET, BY OFFERING 111

    • 7.1 INTRODUCTION 112
      • 7.1.1 OFFERING: FAKE IMAGE DETECTION MARKET DRIVERS 113
    • 7.2 SOLUTIONS 113
      • 7.2.1 RISING ADOPTION OF FAKE IMAGE DETECTION SOLUTIONS WITH INCREASING IMAGE FORGERY AND MANIPULATED CONTENT 113
      • 7.2.2 PHOTOSHOPPED IMAGE DETECTION 113
      • 7.2.3 DEEPFAKE IMAGE DETECTION 114
      • 7.2.4 AI-GENERATED CONTENT DETECTION 114
      • 7.2.5 CONTENT AUTHENTICITY VERIFICATION 114
      • 7.2.6 REAL-TIME DETECTION 114
      • 7.2.7 BROWSER EXTENSIONS 115
      • 7.2.8 MOBILE APPS 115
    • 7.3 SERVICES 116
      • 7.3.1 PROACTIVE MONITORING AND RESPONSIVE MAINTENANCE SERVICES FOR FAKE IMAGE DETECTION 116
      • 7.3.2 CONSULTING 117
      • 7.3.3 DEPLOYMENT AND INTEGRATION 117
      • 7.3.4 SUPPORT AND MAINTENANCE 117
  • 8 FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE 118

    • 8.1 INTRODUCTION 119
      • 8.1.1 DEPLOYMENT MODE: FAKE IMAGE DETECTION MARKET DRIVERS 120
    • 8.2 CLOUD 120
      • 8.2.1 ENHANCING FAKE IMAGE DETECTION CAPABILITIES THROUGH CLOUD DEPLOYMENT 120
    • 8.3 ON-PREMISES 121
      • 8.3.1 MAXIMIZING DATA CONTROL WITH ON-PREMISES DEPLOYMENT IN FAKE IMAGE DETECTION 121
  • 9 FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE 123

    • 9.1 INTRODUCTION 124
      • 9.1.1 ORGANIZATION SIZE: FAKE IMAGE DETECTION MARKET DRIVERS 125
    • 9.2 LARGE ENTERPRISES 125
      • 9.2.1 LARGE ENTERPRISES TO SECURE THEIR ONLINE PRESENCE WITH FAKE IMAGE DETECTION 125
    • 9.3 SMALL & MEDIUM-SIZED ENTERPRISES (SMES) 126
      • 9.3.1 SMES TO BUILD TRUST AMONG CUSTOMERS BY EMBRACING FAKE IMAGE DETECTION SOLUTIONS 126
  • 10 FAKE IMAGE DETECTION MARKET, BY TARGET USER 128

    • 10.1 INTRODUCTION 129
      • 10.1.1 TARGET USER: FAKE IMAGE DETECTION MARKET DRIVERS 130
    • 10.2 INDIVIDUAL 130
      • 10.2.1 GROWING AWARENESS AMONG INDIVIDUAL USERS REGARDING FAKE IMAGES 130
    • 10.3 PROFESSIONAL 131
      • 10.3.1 NEED TO ENSURE AUTHENTICITY OF IMAGES IN VARIOUS FIELDS BY PROFESSIONAL USERS 131
    • 10.4 ENTERPRISE GRADE 132
      • 10.4.1 INCREASING MANIPULATED MEDIA AND NEED TO COMBAT MISINFORMATION 132
  • 11 FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY 134

    • 11.1 INTRODUCTION 135
      • 11.1.1 TECHNOLOGY: FAKE IMAGE DETECTION MARKET DRIVERS 136
    • 11.2 MACHINE AND DEEP LEARNING 136
      • 11.2.1 DEEP LEARNING’S VITAL ROLE IN FAKE IMAGE DETECTION 136
      • 11.2.2 CONVOLUTIONAL NEURAL NETWORKS (CNNS) 137
      • 11.2.3 GENERATIVE ADVERSARIAL NETWORKS (GANS) 137
    • 11.3 IMAGE FORENSICS 137
      • 11.3.1 IMAGE FORENSIC TO EXPERIENCE FAST GROWTH IN FAKE IMAGE DETECTION MARKET 137
      • 11.3.2 ERROR-LEVEL ANALYSIS (ELA) 138
      • 11.3.3 METADATA ANALYSIS 139
  • 12 FAKE IMAGE DETECTION MARKET, BY APPLICATION 140

    • 12.1 INTRODUCTION 141
      • 12.1.1 APPLICATION: FAKE IMAGE DETECTION MARKET DRIVERS 142
    • 12.2 SOCIAL MEDIA AND CONTENT MODERATION 142
      • 12.2.1 INCREASING USE OF FAKE IMAGE DETECTION SOLUTIONS BY SOCIAL MEDIA PLATFORMS TO PROTECT USER IDENTITY 142
    • 12.3 DIGITAL FORENSICS 143
      • 12.3.1 ROLE OF FAKE IMAGE DETECTION TO BE CRUCIAL IN DIGITAL FORENSICS 143
    • 12.4 FRAUD DETECTION 144
      • 12.4.1 INCREASING FRAUDS IN ID VERIFICATION, BRAND PROTECTION, INTELLECTUAL PROPERTY RIGHTS, AND GAMING ASSETS SECTORS 144
    • 12.5 HEALTHCARE AND MEDICAL IMAGING 145
      • 12.5.1 RESEARCH AND DEVELOPMENT EFFORTS IN HEALTHCARE SECTOR TO COMBAT IMAGE MANIPULATION 145
    • 12.6 RECRUITMENT 146
      • 12.6.1 ENHANCING HIRING EFFICIENCY WITH IMAGE AUTHENTICATION 146
  • 13 FAKE IMAGE DETECTION MARKET, BY VERTICAL 148

    • 13.1 INTRODUCTION 149
      • 13.1.1 VERTICAL: FAKE IMAGE DETECTION MARKET DRIVERS 150
    • 13.2 BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) 151
      • 13.2.1 INCREASING USE OF FAKE IMAGE DETECTION SOLUTIONS IN VERIFYING IDENTITY, DOCUMENTS, AND INSURANCE CLAIM 151
      • 13.2.2 BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI): FAKE IMAGE DETECTION USE CASES 151
        • 13.2.2.1 Document Authentication 151
        • 13.2.2.2 Identity Verification 151
        • 13.2.2.3 Insurance Claim Verification 151
        • 13.2.2.4 Forgery Detection 151
    • 13.3 TELECOMMUNICATIONS 152
      • 13.3.1 SAFEGUARDING NETWORK INTEGRITY WITH FAKE IMAGE DETECTION 152
      • 13.3.2 TELECOMMUNICATIONS: FAKE IMAGE DETECTION USE CASES 153
        • 13.3.2.1 Network Security Monitoring 153
        • 13.3.2.2 Identity Verification 153
        • 13.3.2.3 Content Moderation 153
    • 13.4 GOVERNMENT 154
      • 13.4.1 TO COMBAT MISINFORMATION, GOVERNMENT SECTOR IMPLEMENTS FAKE IMAGE DETECTION 154
      • 13.4.2 GOVERNMENT: FAKE IMAGE DETECTION USE CASES 154
        • 13.4.2.1 Law Enforcement and National Security 154
        • 13.4.2.2 Border Security and Immigration 154
        • 13.4.2.3 Disaster Response and Crisis Management 154
        • 13.4.2.4 Public Safety and Emergency Response 154
    • 13.5 HEALTHCARE 155
      • 13.5.1 LEVERAGING FAKE IMAGE DETECTION TECHNOLOGY TO COMBAT DEEPFAKES 155
      • 13.5.2 HEALTHCARE: FAKE IMAGE DETECTION USE CASES 156
        • 13.5.2.1 Medical Imaging Authentication 156
        • 13.5.2.2 Telemedicine Image Verification 156
        • 13.5.2.3 Surgical Image Verification 156
    • 13.6 REAL ESTATE 157
      • 13.6.1 TO ENSURE TRANSPARENCY IN LISTINGS WITH FAKE IMAGE DETECTION 157
      • 13.6.2 REAL ESTATE: FAKE IMAGE DETECTION USE CASES 157
        • 13.6.2.1 Listing Verification 157
        • 13.6.2.2 Property Ownership Verification 157
        • 13.6.2.3 Property Condition Assessment 157
    • 13.7 MEDIA AND ENTERTAINMENT 158
      • 13.7.1 RISING DEEPFAKES ON SOCIAL MEDIA PLATFORMS 158
      • 13.7.2 MEDIA & ENTERTAINMENT: FAKE IMAGE DETECTION USE CASES 158
        • 13.7.2.1 Social Media Content Moderation 158
        • 13.7.2.2 Advertising and Marketing 158
        • 13.7.2.3 Brand Protection 158
    • 13.8 OTHER VERTICALS 159
      • 13.8.1 OTHER VERTICALS: FAKE IMAGE DETECTION USE CASES 160
        • 13.8.1.1 Vehicle Insurance Claims 160
        • 13.8.1.2 Online Exam Monitoring 160
        • 13.8.1.3 Restaurant Reviews 160
  • 14 FAKE IMAGE DETECTION MARKET, BY REGION 161

    • 14.1 INTRODUCTION 162
    • 14.2 NORTH AMERICA 163
      • 14.2.1 NORTH AMERICA: FAKE IMAGE DETECTION MARKET DRIVERS 163
      • 14.2.2 NORTH AMERICA: REGULATORY LANDSCAPE 164
      • 14.2.3 US 169
        • 14.2.3.1 Rising document forgery frauds in US leading to increased adoption of fake image detection solutions 169
      • 14.2.4 CANADA 173
        • 14.2.4.1 Increasing concerns of deepfakes in Canada 173
    • 14.3 EUROPE 178
      • 14.3.1 EUROPE: FAKE IMAGE DETECTION MARKET DRIVERS 178
      • 14.3.2 EUROPE: REGULATORY LANDSCAPE 178
      • 14.3.3 UK 184
        • 14.3.3.1 Adoption of fake image detection solutions to combat spread of misinformation and disinformation 184
      • 14.3.4 GERMANY 187
        • 14.3.4.1 Focus on advanced fake image detection methods in Germany 187
      • 14.3.5 FRANCE 191
        • 14.3.5.1 France's legal and technical initiatives to propel fake image detection adoption 191
      • 14.3.6 ITALY 194
        • 14.3.6.1 Increasing research initiatives to combat image manipulation in Italy 194
      • 14.3.7 REST OF EUROPE 198
    • 14.4 ASIA PACIFIC 202
      • 14.4.1 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET DRIVERS 202
      • 14.4.2 ASIA PACIFIC: REGULATORY LANDSCAPE 203
      • 14.4.3 CHINA 207
        • 14.4.3.1 Government initiatives to combat deepfakes 207
      • 14.4.4 JAPAN 211
        • 14.4.4.1 Rising awareness of fake images in Japan to drive market growth 211
      • 14.4.5 INDIA 215
        • 14.4.5.1 Rising instances of deepfakes in India to propel market 215
      • 14.4.6 REST OF ASIA PACIFIC 218
    • 14.5 MIDDLE EAST & AFRICA 222
      • 14.5.1 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET DRIVERS 222
      • 14.5.2 MIDDLE EAST & AFRICA: REGULATORY LANDSCAPE 223
      • 14.5.3 MIDDLE EAST 227
        • 14.5.3.1 Proliferation of social media and widespread dissemination of digital content to drive demand for fake image detection solutions 227
      • 14.5.4 AFRICA 228
        • 14.5.4.1 Advancements in AI technology in Africa to fuel market 228
    • 14.6 LATIN AMERICA 228
      • 14.6.1 LATIN AMERICA: FAKE IMAGE DETECTION MARKET DRIVERS 228
      • 14.6.2 REGULATORY LANDSCAPE 228
      • 14.6.3 BRAZIL 233
        • 14.6.3.1 Rising concerns regarding spread of misinformation in Brazil 233
      • 14.6.4 MEXICO 237
        • 14.6.4.1 Adoption of fake image detection technology in nascent stage in Mexico 237
      • 14.6.5 REST OF LATIN AMERICA 240
  • 15 COMPETITIVE LANDSCAPE 245

    • 15.1 OVERVIEW 245
    • 15.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 245
    • 15.3 REVENUE ANALYSIS 246
    • 15.4 MARKET SHARE ANALYSIS 247
    • 15.5 PRODUCT/BRAND COMPARISON 249
    • 15.6 STARTUP/SME EVALUATION MATRIX 249
      • 15.6.1 PROGRESSIVE COMPANIES 250
      • 15.6.2 RESPONSIVE COMPANIES 250
      • 15.6.3 DYNAMIC COMPANIES 250
      • 15.6.4 STARTING BLOCKS 250
      • 15.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES 251
    • 15.7 COMPETITIVE SCENARIO AND TRENDS 254
      • 15.7.1 PRODUCT LAUNCHES/DEVELOPMENTS 254
      • 15.7.2 DEALS 255
    • 15.8 HARDWARE PLAYERS OVERVIEW 255
      • 15.8.1 QUALCOMM 255
        • 15.8.1.1 Recent Developments 255
      • 15.8.2 SONY CORPORATION 255
        • 15.8.2.1 Recent Developments 256
      • 15.8.3 CANON 256
        • 15.8.3.1 Recent Developments 256
      • 15.8.4 OTHERS 256
  • 16 COMPANY PROFILES 257

    • 16.1 MAJOR PLAYERS 257
      • 16.1.1 MICROSOFT 257
      • 16.1.2 IPROOV 260
      • 16.1.3 GRADIANT 262
      • 16.1.4 PRIMEAU FORENSICS 264
      • 16.1.5 KAIROS 266
      • 16.1.6 TRUEPIC 267
      • 16.1.7 BIOID 268
    • 16.2 STARTUPS 269
      • 16.2.1 IMAGE FORGERY DETECTOR 269
      • 16.2.2 QUANTUM INTEGRITY 270
      • 16.2.3 DUCKDUCKGOOSE AI 271
      • 16.2.4 SENTINEL AI 272
      • 16.2.5 REALITY DEFENDER 272
      • 16.2.6 CLEARVIEW AI 273
      • 16.2.7 SENSITY AI 273
      • 16.2.8 FACIA 274
      • 16.2.9 IDENFY 275
  • 17 ADJACENT MARKETS 276

    • 17.1 INTRODUCTION TO ADJACENT MARKETS 276
      • 17.1.1 LIMITATIONS 276
    • 17.2 IDENTITY VERIFICATION MARKET 277
    • 17.3 ARTIFICIAL INTELLIGENCE MARKET 281
  • 18 APPENDIX 288

    • 18.1 DISCUSSION GUIDE 288
    • 18.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 293
    • 18.3 CUSTOMIZATION OPTIONS 295
    • 18.4 RELATED REPORTS 295
    • 18.5 AUTHOR DETAILS 296

TABLE 1 USD EXCHANGE RATES, 2018-2023 TABLE 2 FACTOR ANALYSIS TABLE 3 FAKE IMAGE DETECTION MARKET: ASSUMPTIONS TABLE 4 FAKE IMAGE DETECTION MARKET: LIMITATIONS TABLE 5 FAKE IMAGE DETECTION MARKET: ECOSYSTEM TABLE 6 PORTER'S FIVE FORCES IMPACT ON FAKE IMAGE DETECTION MARKET TABLE 7 AVERAGE SELLING PRICES OF KEY PLAYERS FOR THE TOP THREE OFFERINGS TABLE 8 INDICATIVE PRICING LEVELS OF FAKE IMAGE DETECTION SOLUTIONS TABLE 9 LIST OF MAJOR PATENTS TABLE 10 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 11 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 12 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 13 REST OF THE WORLD: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 14 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS TABLE 15 KEY BUYING CRITERIA FOR TOP THREE VERTICALS TABLE 16 FAKE IMAGE DETECTION MARKET: DETAILED LIST OF CONFERENCES & EVENTS TABLE 17 FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 18 FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 19 SOLUTIONS: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 20 SOLUTIONS: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 21 SERVICES: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 22 SERVICES: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 23 FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 24 FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 25 CLOUD: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 26 CLOUD: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 27 ON-PREMISES: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 28 ON-PREMISES: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 29 FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 30 FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 31 LARGE ENTERPRISES: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 32 LARGE ENTERPRISES: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 33 SMES: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 34 SMES: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 35 FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 36 FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 37 INDIVIDUAL: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 38 INDIVIDUAL: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 39 PROFESSIONAL: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 40 PROFESSIONAL: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 41 ENTERPRISE GRADE: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 42 ENTERPRISE GRADE: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 43 FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 44 FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 45 MACHINE AND DEEP LEARNING: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 46 MACHINE AND DEEP LEARNING: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 47 IMAGE FORENSICS: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 48 IMAGE FORENSICS: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 49 FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 50 FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 51 SOCIAL MEDIA AND CONTENT MODERATION: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 52 SOCIAL MEDIA AND CONTENT MODERATION: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 53 DIGITAL FORENSICS: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 54 DIGITAL FORENSICS: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 55 FRAUD DETECTION: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 56 FRAUD DETECTION: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 57 HEALTHCARE AND MEDICAL IMAGING: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 58 HEALTHCARE AND MEDICAL IMAGING: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 59 RECRUITMENT: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 60 RECRUITMENT: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 61 FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 62 FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 63 BANKING, FINANCIAL SERVICES, AND INSURANCE: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 64 BANKING, FINANCIAL SERVICES, AND INSURANCE: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 65 TELECOMMUNICATIONS: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 66 TELECOMMUNICATIONS: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 67 GOVERNMENT: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 68 GOVERNMENT: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 69 HEALTHCARE: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 70 HEALTHCARE: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 71 REAL ESTATE: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 72 REAL ESTATE: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 73 MEDIA AND ENTERTAINMENT: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 74 MEDIA AND ENTERTAINMENT: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 75 FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 76 FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 77 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 78 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 79 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 80 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 81 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 82 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 83 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 84 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 85 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 86 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 87 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 88 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 89 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 90 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 91 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY COUNTRY, 2018-2023 (USD MILLION) TABLE 92 NORTH AMERICA: FAKE IMAGE DETECTION MARKET, BY COUNTRY, 2024-2029 (USD MILLION) TABLE 93 US: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 94 US: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 95 US: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 96 US: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 97 US: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 98 US: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 99 US: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 100 US: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 101 US: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 102 US: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 103 US: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 104 US: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 105 US: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 106 US: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 107 CANADA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 108 CANADA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 109 CANADA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 110 CANADA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 111 CANADA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 112 CANADA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 113 CANADA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 114 CANADA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 115 CANADA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 116 CANADA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 117 CANADA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 118 CANADA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 119 CANADA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 120 CANADA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 121 EUROPE: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 122 EUROPE: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 123 EUROPE: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 124 EUROPE: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 125 EUROPE: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 126 EUROPE: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 127 EUROPE: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 128 EUROPE: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 129 EUROPE: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 130 EUROPE: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 131 EUROPE: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 132 EUROPE: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 133 EUROPE: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 134 EUROPE: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 135 EUROPE: FAKE IMAGE DETECTION MARKET, BY COUNTRY, 2018-2023 (USD MILLION) TABLE 136 EUROPE: FAKE IMAGE DETECTION MARKET, BY COUNTRY, 2024-2029 (USD MILLION) TABLE 137 UK: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 138 UK: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 139 UK: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 140 UK: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 141 UK: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 142 UK: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 143 UK: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 144 UK: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 145 UK: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 146 UK: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 147 UK: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 148 UK: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 149 UK: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 150 UK: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 151 GERMANY: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 152 GERMANY: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 153 GERMANY: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 154 GERMANY: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 155 GERMANY: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 156 GERMANY: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 157 GERMANY: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 158 GERMANY: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 159 GERMANY: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 160 GERMANY: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 161 GERMANY: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 162 GERMANY: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 163 GERMANY: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 164 GERMANY: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 165 FRANCE: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 166 FRANCE: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 167 FRANCE: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 168 FRANCE: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 169 FRANCE: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 170 FRANCE: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 171 FRANCE: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 172 FRANCE: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 173 FRANCE: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 174 FRANCE: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 175 FRANCE: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 176 FRANCE: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 177 FRANCE: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 178 FRANCE: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 179 ITALY: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 180 ITALY: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 181 ITALY: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 182 ITALY: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 183 ITALY: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 184 ITALY: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 185 ITALY: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 186 ITALY: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 187 ITALY: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 188 ITALY: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 189 ITALY: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 190 ITALY: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 191 ITALY: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 192 ITALY: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 193 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 194 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 195 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 196 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 197 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 198 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 199 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 200 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 201 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 202 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 203 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 204 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 205 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 206 REST OF EUROPE: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 207 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 208 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 209 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 210 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 211 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 212 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 213 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 214 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 215 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 216 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 217 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 218 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 219 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 220 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 221 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY COUNTRY, 2018-2023 (USD MILLION) TABLE 222 ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY COUNTRY, 2024-2029 (USD MILLION) TABLE 223 CHINA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 224 CHINA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 225 CHINA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 226 CHINA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 227 CHINA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 228 CHINA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 229 CHINA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 230 CHINA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 231 CHINA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 232 CHINA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 233 CHINA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 234 CHINA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 235 CHINA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 236 CHINA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 237 JAPAN: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 238 JAPAN: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 239 JAPAN: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 240 JAPAN: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 241 JAPAN: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 242 JAPAN: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 243 JAPAN: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 244 JAPAN: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 245 JAPAN: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 246 JAPAN: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 247 JAPAN: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 248 JAPAN: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 249 JAPAN: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 250 JAPAN: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 251 INDIA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 252 INDIA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 253 INDIA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 254 INDIA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 255 INDIA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 256 INDIA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 257 INDIA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 258 INDIA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 259 INDIA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 260 INDIA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 261 INDIA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 262 INDIA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 263 INDIA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 264 INDIA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 265 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 266 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 267 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 268 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 269 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 270 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 271 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 272 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 273 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 274 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 275 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 276 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 277 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 278 REST OF ASIA PACIFIC: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 279 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 280 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 281 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 282 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 283 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 284 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 285 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 286 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 287 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 288 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 289 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 290 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 291 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 292 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 293 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY REGION, 2018-2023 (USD MILLION) TABLE 294 MIDDLE EAST & AFRICA: FAKE IMAGE DETECTION MARKET, BY REGION, 2024-2029 (USD MILLION) TABLE 295 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 296 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 297 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 298 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 299 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 300 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 301 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 302 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 303 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 304 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 305 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 306 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 307 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 308 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 309 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY COUNTRY, 2018-2023 (USD MILLION) TABLE 310 LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY COUNTRY, 2024-2029 (USD MILLION) TABLE 311 BRAZIL: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 312 BRAZIL: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 313 BRAZIL: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 314 BRAZIL: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 315 BRAZIL: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 316 BRAZIL: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 317 BRAZIL: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 318 BRAZIL: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 319 BRAZIL: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 320 BRAZIL: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 321 BRAZIL: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 322 BRAZIL: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 323 BRAZIL: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 324 BRAZIL: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 325 MEXICO: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 326 MEXICO: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 327 MEXICO: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 328 MEXICO: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 329 MEXICO: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 330 MEXICO: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 331 MEXICO: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 332 MEXICO: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 333 MEXICO: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 334 MEXICO: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 335 MEXICO: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 336 MEXICO: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 337 MEXICO: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 338 MEXICO: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 339 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2018-2023 (USD MILLION) TABLE 340 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY OFFERING, 2024-2029 (USD MILLION) TABLE 341 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2018-2023 (USD MILLION) TABLE 342 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY TARGET USER, 2024-2029 (USD MILLION) TABLE 343 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2018-2023 (USD MILLION) TABLE 344 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY TECHNOLOGY, 2024-2029 (USD MILLION) TABLE 345 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2018-2023 (USD MILLION) TABLE 346 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION) TABLE 347 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2018-2023 (USD MILLION) TABLE 348 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY VERTICAL, 2024-2029 (USD MILLION) TABLE 349 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION) TABLE 350 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION) TABLE 351 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2018-2023 (USD MILLION) TABLE 352 REST OF LATIN AMERICA: FAKE IMAGE DETECTION MARKET, BY APPLICATION, 2024-2029 (USD MILLION) TABLE 353 OVERVIEW OF STRATEGIES ADOPTED BY KEY FAKE IMAGE DETECTION VENDORS TABLE 354 FAKE IMAGE DETECTION MARKET: DEGREE OF COMPETITION TABLE 355 FAKE IMAGE DETECTION MARKET: KEY STARTUPS/SMES TABLE 356 VERTICAL FOOTPRINT OF STARTUPS/SMES TABLE 357 REGIONAL FOOTPRINT OF STARTUPS/SMES TABLE 358 FAKE IMAGE DETECTION MARKET: PRODUCT LAUNCHES/DEVELOPMENTS, AUGUST 2022-MARCH 2024 TABLE 359 FAKE IMAGE DETECTION MARKET: DEALS, JANUARY 2021-FEBRUARY 2024 TABLE 360 MICROSOFT: COMPANY OVERVIEW TABLE 361 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 362 MICROSOFT: PRODUCT LAUNCHES TABLE 363 IPROOV: COMPANY OVERVIEW TABLE 364 IPROOV: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 365 GRADIANT: BUSINESS OVERVIEW TABLE 366 GRADIANT: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 367 PRIMEAU FORENSICS: COMPANY OVERVIEW TABLE 368 PRIMEAU FORENSICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 369 KAIROS: COMPANY OVERVIEW TABLE 370 KAIROS: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 371 TRUEPIC: COMPANY OVERVIEW TABLE 372 TRUEPIC: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 373 BIOID: COMPANY OVERVIEW TABLE 374 BIOID: PRODUCTS/SOLUTIONS/SERVICES OFFERED TABLE 375 BIOID: PRODUCT LAUNCHES TABLE 376 ADJACENT MARKETS AND FORECASTS TABLE 377 IDENTITY VERIFICATION MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 378 IDENTITY VERIFICATION MARKET, BY OFFERING, 2023-2028 (USD MILLION) TABLE 379 IDENTITY VERIFICATION MARKET, BY TYPE, 2017-2022 (USD MILLION) TABLE 380 IDENTITY VERIFICATION MARKET, BY TYPE, 2023-2028 (USD MILLION) TABLE 381 IDENTITY VERIFICATION MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION) TABLE 382 IDENTITY VERIFICATION MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION) TABLE 383 IDENTITY VERIFICATION MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION) TABLE 384 IDENTITY VERIFICATION MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION) TABLE 385 IDENTITY VERIFICATION MARKET, BY APPLICATION, 2017-2022 (USD MILLION) TABLE 386 IDENTITY VERIFICATION MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 387 IDENTITY VERIFICATION MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 388 IDENTITY VERIFICATION MARKET, BY VERTICAL, 2023-2028 (USD MILLION) TABLE 389 IDENTITY VERIFICATION MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 390 IDENTITY VERIFICATION MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 391 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017-2022 (USD MILLION) TABLE 392 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2023-2030 (USD MILLION) TABLE 393 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2017-2022 (USD MILLION) TABLE 394 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2023-2030 (USD MILLION) TABLE 395 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2017-2022 (USD MILLION) TABLE 396 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2023-2030 (USD MILLION) TABLE 397 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT, 2017-2022 (USD MILLION) TABLE 398 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT, 2023-2030 (USD MILLION) TABLE 399 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2017-2022 (USD MILLION) TABLE 400 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2023-2030 (USD MILLION) TABLE 401 ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION) TABLE 402 ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2023-2030 (USD MILLION) TABLE 403 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION) TABLE 404 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023-2030 (USD MILLION) TABLE 405 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2017-2022 (USD MILLION) TABLE 406 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2023-2030 (USD MILLION) TABLE 407 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017-2022 (USD MILLION) TABLE 408 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023-2030 (USD MILLION) TABLE 409 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017-2022 (USD MILLION) TABLE 410 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023-2030 (USD MILLION)

FIGURE 1 FAKE IMAGE DETECTION MARKET: RESEARCH DESIGN FIGURE 2 FAKE IMAGE DETECTION MARKET: DATA TRIANGULATION FIGURE 3 FAKE IMAGE DETECTION MARKET ESTIMATION: RESEARCH FLOW FIGURE 4 APPROACH 1 (SUPPLY SIDE): REVENUE FROM SOLUTIONS AND SERVICES OF FAKE IMAGE DETECTION VENDORS FIGURE 5 APPROACH 1: SUPPLY-SIDE ANALYSIS FIGURE 6 APPROACH 2 - BOTTOM-UP (DEMAND SIDE): FAKE IMAGE DETECTION FIGURE 7 COMPANY EVALUATION (STARTUPS): CRITERIA WEIGHTAGE FIGURE 8 GLOBAL FAKE IMAGE DETECTION MARKET TO WITNESS SIGNIFICANT GROWTH DURING FORECAST PERIOD FIGURE 9 FAKE IMAGE DETECTION MARKET: SNAPSHOT OF SEGMENTS FIGURE 10 FAKE IMAGE DETECTION MARKET: REGIONAL SNAPSHOT FIGURE 11 ADVANCEMENTS IN AI & ML TECHNOLOGIES AND INCREASING USE CASES AND APPLICATIONS OF FAKE IMAGE DETECTION ACROSS SECTORS TO BOOST MARKET GROWTH FIGURE 12 SOLUTIONS TO HOLD LARGER MARKET SIZE DURING FORECAST PERIOD FIGURE 13 PROFESSIONAL SEGMENT TO BE MOST PREFERRED DURING FORECAST PERIOD FIGURE 14 MACHINE AND DEEP LEARNING TO HOLD LARGER MARKET SIZE DURING FORECAST PERIOD FIGURE 15 SOCIAL MEDIA AND CONTENT MODERATION APPLICATION TO BE PREFERRED DURING FORECAST PERIOD FIGURE 16 ON-PREMISES SEGMENT TO HOLD LARGER MARKET SIZE DURING FORECAST PERIOD FIGURE 17 LARGE ENTERPRISES TO HOLD LARGER MARKET SIZE DURING FORECAST PERIOD FIGURE 18 GOVERNMENT VERTICAL TO BE DOMINANT DURING FORECAST PERIOD FIGURE 19 EUROPE TO EMERGE AS BEST MARKET FOR INVESTMENTS IN NEXT FIVE YEARS FIGURE 20 FAKE IMAGE DETECTION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES FIGURE 21 ADOPTION OF FAKE IMAGE DETECTION SOLUTIONS WORLDWIDE FIGURE 22 AWARENESS OF DEEPFAKE IMAGES WORLDWIDE FIGURE 23 FAKE IMAGE DETECTION MARKET: EVOLUTION FIGURE 24 FAKE IMAGE DETECTION MARKET: VALUE CHAIN ANALYSIS FIGURE 25 FAKE IMAGE DETECTION MARKET: ECOSYSTEM FIGURE 26 FAKE IMAGE DETECTION MARKET: PORTER'S FIVE FORCES ANALYSIS FIGURE 27 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP THREE OFFERINGS FIGURE 28 LIST OF MAJOR PATENTS FOR FAKE IMAGE DETECTION FIGURE 29 REGIONAL ANALYSIS OF PATENTS GRANTED FOR FAKE IMAGE DETECTION MARKET FIGURE 30 FAKE IMAGE DETECTION MARKET: TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES FIGURE 31 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS FIGURE 32 KEY BUYING CRITERIA FOR TOP THREE VERTICALS FIGURE 33 LEADING GLOBAL FAKE IMAGE DETECTION INVESTMENT ROUNDS AND FUNDING RAISED BY COMPANIES FROM 2017 TO 2022 FIGURE 34 SOLUTIONS SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE DURING FORECAST PERIOD FIGURE 35 ON-PREMISES SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE DURING FORECAST PERIOD FIGURE 36 LARGE ENTERPRISES SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE DURING FORECAST PERIOD FIGURE 37 PROFESSIONAL SEGMENT TO ACCOUNT FOR LARGEST MARKET SIZE DURING FORECAST PERIOD FIGURE 38 MACHINE AND DEEP LEARNING SEGMENT TO ACCOUNT FOR LARGER MARKET DURING FORECAST PERIOD FIGURE 39 SOCIAL MEDIA AND CONTENT MODERATION SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 40 GOVERNMENT SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD FIGURE 41 EUROPE TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 42 NORTH AMERICA: MARKET SNAPSHOT FIGURE 43 EUROPE: MARKET SNAPSHOT FIGURE 44 REVENUE ANALYSIS OF KEY SMES OF FAKE IMAGE DETECTION VENDORS, 2019-2023 (USD MILLION) FIGURE 45 FAKE IMAGE DETECTION MARKET SHARE, 2023 FIGURE 46 BRAND COMPARISON/VENDOR PRODUCT LANDSCAPE FIGURE 47 FAKE IMAGE DETECTION MARKET: STARTUP/SME EVALUATION FIGURE 48 MICROSOFT: COMPANY SNAPSHOT

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