全体要約
また、品質管理セグメントは、予測期間中に最も高い成長率で拡大すると予測されています。AIによる品質管理システムは、製造プロセス中に製品特性の偏差を特定する能力を持ち、主に製薬、食品、半導体産業で利用されています。アジア太平洋地域では、中国が製造業向けAI市場を主導し、データのアクセス性や政策支援に強みがあります。主要企業には、シーメンス、IBM、インテル、NVIDIA、ゼネラル・エレクトリックなどが含まれます。
関連する質問
20.8 billion USD (2028年)
45.6% (2023年～2028年)
Siemens, IBM, Intel Corporation, NVIDIA Corporation, General Electric
大規模データセットの処理ニーズの高まり, 新興の産業IoTおよび自動化技術, AIの普及による半導体チップ製造の成長促進
概要
2023年の製造業における人工知能市場では、機械学習技術セグメントが主導する見込みです。
機械学習には、深層学習、教師あり学習、教師なし学習、強化学習などのさまざまな技術が含まれます。機械学習は、システムが経験を通じて自動的にパフォーマンスを改善できるようにします。機械学習は、データにアクセスし、それを使用して人間の介入なしに自らをトレーニングできるコンピュータープログラム/アルゴリズムの開発を助けます。機械学習がビッグデータを収集および処理できる能力、ならびに予測分析、機械検査、品質管理、サイバーセキュリティにおけるその応用の増加は、製造業における機械学習技術の人工知能市場の成長を促進すると期待されています。
品質管理セグメントは、予測期間中に最も高いCAGRで成長すると予想されています。
AI駆動の品質管理システムは、製造プロセス中に製品特性の逸脱を特定するためにプラントオペレーターを支援します。これらの品質管理アプリケーションは、レーザーに基づく集約スキャンシステムを通じて三次元（3D）および二次元（2D）データの収集に依存し、その後このデータをデジタル画像に変換します。製造プラント内のこれらの品質管理アプリケーションで使用される核心技術には、機械学習、コンピュータビジョン、およびコンテキスト認識コンピューティングが含まれます。この堅牢な品質管理フレームワークは、プラントオペレーターが製品品質を検証するのを助け、製薬、食品および飲料、半導体などの業界で広く利用されています。「ソフトウェアセグメントは予測期間中に最大の市場シェアを保持します」
コンピュータシステムは、人間の脳のような知的能力を示すために、高度に効果的で効率的なハードウェアとソフトウェアを必要とします。さまざまな業界でのAIソリューションとプラットフォームの採用が増加していること、そして製造業におけるAIの適用範囲が広がっていることが、ソフトウェアセグメントの製造における人工知能市場の成長を促進する主な要因です。
「中国は2023年にアジア太平洋の製造業における人工知能市場を支配するでしょう。」
アジア太平洋地域は、中国、日本、韓国などの急成長する経済を含んでいます。中国はアジア太平洋地域の主要な製造拠点です。この国は、データアクセス性と政策支援の強みを持ち、アジア太平洋における人工知能開発の主要な力となっています。中国の製造業は急速に成長しており、新しいロボティクスやビッグデータ技術の導入が進んでいます。これらの要因と、中国に多数の製造工場が存在することが相まって、製造データのボリュームが増加することが予想されます。さらに、中国政府は製造業におけるAI技術の採用を促進するための取り組みを行っています。
主要参加者のプロフィールの内訳：
• 会社のタイプ別 - ティア 1 - 55%、ティア 2 - 25%、ティア 3 - 20%
・役職別 - Cレベル役員 - 60%、ディレクター - 20%、その他 - 20%
地域別 - 北アメリカ - 40%、ヨーロッパ - 30%、アジア太平洋 - 20%、その他の地域 - 10%
製造業における人工知能市場の主要企業には、シーメンス、IBM、インテルコーポレーション、NVIDIAコーポレーション、ゼネラル・エレクトリックなどがあります。
調査範囲
この報告書では、製造業における人工知能市場を、提供内容、技術、アプリケーション、業界、地域によってセグメント化しています。また、市場成長に影響を与える要因、制約、機会、課題についても包括的にレビューしています。報告書は、市場の定量的側面に加えて、定性的側面も取り上げています。
レポートを購入する理由：
この報告書は、市場のリーダーや新規参入者に対して、製造業における全体的な人工知能市場および関連セグメントの最も近い推定収益に関する情報を提供します。この報告書は、利害関係者が競争環境を理解し、自らの市場での地位を強化し、適切なマーケット戦略を計画するための洞察を得るのに役立ちます。また、報告書は利害関係者が市場の脈動を理解し、主要な市場ドライバー、制約、機会、課題に関する情報を提供します。
報告書は以下のポイントに関する洞察を提供しています：
• 重要な要因の分析（ますます大規模で複雑なデータセットを扱う必要性の高まり、産業用IoTと自動化技術の新たな登場、AIの急増する採用が半導体チップ製造の成長を促進、製造AI分野のスタートアップへの投資の増加）、制約（AIベースの技術を採用することに対する製造業者のためらい）、機会（AIによる予測分析と生産計画を通じた製造効率の向上、インテリジェントな企業プロセスのためのAI駆動の機械学習と自然言語処理の応用）、および課題（特に発展途上国における熟練した労働力の不足やデータプライバシーとサイバーセキュリティ規制に関する懸念）が、製造における人工知能市場の成長に影響を与えています。
• 製品開発/革新：製造業における人工知能市場の新しい技術、研究開発活動、及び新製品の発売に関する詳細な洞察。
• 市場開発: 有望な市場に関する包括的な情報 - この報告書は、さまざまな地域における製造業における人工知能の市場を分析しています。
市場の多様化：製造業における人工知能市場の新製品、未開拓の地域、最近の動向、投資に関する詳細な情報。
• 競争評価：シーメンス（ドイツ）、IBM（米国）、インテル（米国）、NVIDIA（米国）、ゼネラル・エレクトリック（米国）などの主要企業の市場シェア、成長戦略、製品提供に関する詳細評価。
※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 36
1.1 調査の目的 36
1.2 市場の定義 36
1.2.1 包含・除外事項 37
1.3 調査範囲 37
1.3.1 対象市場 37
1.3.2 対象地域 38
1.3.3 対象年 38
1.4 通貨 39
1.5 ステークホルダー 39
1.6 変更点の概要 40
1.6.1 リセッション時のインパクト分析 40
2 調査手法 41
2.1 リサーチデータ 41
2.1.1 二次データ 42
- 2.1.1.1 主要な二次ソースリスト 42
- 2.1.1.2 二次情報の主要データ 43
2.1.2 一次データ 43
- 2.1.2.1 業界エキスパートとの一次インタビュー 44
- 2.1.2.2 一次ブレークダウン 44
- 2.1.2.3 一次情報の主要データ 45
2.1.3 一次調査・二次調査 46
- 2.1.3.1 業界についての主な考察 47
2.2 市場規模予測 47
2.2.1 ボトムアップアプローチ 47
- 2.2.1.1 ボトムアップ分析による市場規模の導出の考え方 47
2.2.2 トップダウンアプローチ 48
- 2.2.2.1 ボトムアップ分析による市場規模の導出の考え方 49
2.3 市場の内訳とデータのトライアンギュレーション 50
2.4 調査の前提 51
2.5 不況が製造業向けAI市場に与える影響を分析するために考慮したパラメータ 51
2.6 調査上の制約 52
2.7 リスク評価 52
3 エグゼクティブサマリー 53
4 更なる考察 59
4.1 製造業向けAI市場プレイヤーにとって魅力的な事業機会 59
4.2 製造業向けAIの市場、オファリング別 60
4.3 製造業向けAIの市場、技術別 60
4.4 製造業向けAIの市場、用途別 61
4.5 製造業向けAIの市場、業界別 62
4.6 製造業向けAIの市場、国別 63
5 市場概要 64
5.1 イントロダクション 64
5.2 市場力学 65
5.2.1 促進要因 65
5.2.2 抑制要因 68
- 5.2.2.1 メーカーはAI技術の導入に消極的 68
5.2.3 市場機会 68
5.2.4 課題 69
- 5.2.4.1 特に発展途上国における熟練労働者の不足 69
- 5.2.4.2 データ・プライバシーと厳しいデータ・セキュリティ規制に関する懸念 70
5.3 バリューチェーン分析 70
5.4 エコシステムマッピング 72
5.5 顧客ビジネスに影響を与えるトレンド/ディスラプション 74
5.6 ポーターのファイブフォース分析 74
5.6.1 サプライヤーの交渉力 76
5.6.2 買い手の交渉力 76
5.6.3 新規参入の脅威 76
5.6.4 代替品の脅威 76
5.6.5 競合・競争状況の激しさ 76
5.7 ケーススタディ分析 76
5.8 技術分析 78
5.9 価格分析 78
5.9.1 主要プレーヤーによるプロセッサーの平均販売価格 78
5.9.2 プロセッサーのタイプ別平均販売価格動向 79
5.10 取引分析・貿易分析 81
5.10.1 輸入シナリオ 81
5.10.2 輸出シナリオ 82
5.11 特許分析 83
5.12 主なステークホルダーと購入基準 88
5.12.1 購買プロセスにおける主要ステークホルダー 88
5.12.2 購買基準 89
5.13 主要会議とイベント、2023-2025年 90
5.14 規制の概観 91
5.14.1 規制当局、政府機関、その他組織 91
5.14.2 ITS/C-ITSにおける標準化 93
6 製造業向けAIの市場、オファリング別 94
6.1 イントロダクション 95
6.2 ハードウェア 97
6.2.1 プロセッサー 98
6.2.2 メモリ半導体デバイス 100
- 6.2.2.1 高帯域幅メモリ・デバイスへの高い需要が市場を牽引 100
6.2.3 ネットワークデバイス 100
6.3 ソフトウェア 101
6.3.1 AIソリューション 102
6.3.2 AIプラットフォーム 103
6.4 サービス 105
6.4.1 デプロイメントとインテグレーション 106
6.4.2 サポート・メンテナンス 106
7 製造業向けAIの市場、技術別 107
7.1 イントロダクション 108
7.2 機械学習 109
7.2.1 ディープラーニング、教師あり学習、強化学習技術の進歩が市場を牽引 109
7.2.2 ディープラーニング 112
7.2.3 教師あり学習 113
7.2.4 強化学習 113
7.2.5 教師なし学習 113
7.2.6 その他の技術タイプ 114
7.3 自然言語処理 114
7.4 コンテキストアウェアコンピューティング 116
7.5 コンピュータービジョン 118
8 製造業向けAIの市場、用途別 120
8.1 イントロダクション 121
8.2 在庫の最適化 123
8.3 予測的保守と機械検査 125
8.4 生産計画 128
8.5 フィールドサービス 130
8.6 リクラメーション 131
8.7 品質管理 133
8.8 サイバーセキュリティ 135
8.9 産業用ロボット 138
9 製造業向けAIの市場、業界別 140
9.1 イントロダクション 141
9.2 自動車 143
9.3 エネルギー・電力 144
9.4 医薬品 146
9.5 金属・重機 147
9.6 半導体・エレクトロニクス 149
9.7 食品・飲料 150
9.8 その他業界 152
10 製造業向けAIの市場、地域別 154
10.1 イントロダクション 155
10.2 北米 157
10.2.1 北米：リセッション時のインパクト 157
10.2.2 米国 161
10.2.3 カナダ 161
10.2.4 メキシコ 162
10.3 ヨーロッパ 162
10.3.1 ヨーロッパ：リセッション時のインパクト 162
10.3.2 ドイツ 166
10.3.3 英国 167
10.3.4 フランス 167
10.3.5 その他ヨーロッパ 168
10.4 アジア太平洋 169
10.4.1 中国 173
10.4.2 日本 173
10.4.3 韓国 174
10.4.4 その他アジア太平洋 174
10.5 その他地域 175
10.5.1 南米 177
- 10.5.1.1 ITインフラ整備への投資増が市場成長を後押し 177
10.5.2 中東・アフリカ 177
11 競合情勢 178
11.1 イントロダクション 178
11.2 主要プレーヤーの主な戦略 178
11.3 REVENUE ANALYSIS OF TOP 5 PLAYERS 179
11.4 市場シェア分析 180
11.5 COMPANY EVALUATION MATRIX, 2022 182
11.5.1 STARS 182
11.5.2 PERVASIVE PLAYERS 182
11.5.3 EMERGING LEADERS 182
11.5.4 PARTICIPANTS 182
11.6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPANY FOOTPRINT 184
11.6.1 トップ企業の足跡 184
11.7 SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION MATRIX, 2022 188
11.7.1 PROGRESSIVE COMPANIES 188
11.7.2 RESPONSIVE COMPANIES 188
11.7.3 DYNAMIC COMPANIES 188
11.7.4 STARTING BLOCKS 188
11.8 競合ベンチマーキング 190
11.9 COMPETITIVE SITUATIONS AND TRENDS 193
12 企業プロファイル 203
12.1 主要企業 203
12.1.1 NVIDIA CORPORATION 203
12.1.2 IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) 209
12.1.3 INTEL CORPORATION 215
12.1.4 SIEMENS 220
12.1.5 GENERAL ELECTRIC 226
12.1.6 GOOGLE LLC 231
12.1.7 MICROSOFT 235
12.1.8 MICRON TECHNOLOGY, INC 240
12.1.9 AMAZON WEB SERVICES, INC. (AWS) 246
12.1.10 SIGHT MACHINE 249
12.2 他の有力企業 252
12.2.1 PROGRESS SOFTWARE CORPORATION (DATARPM) 252
12.2.2 AIBRAIN INC 253
12.2.3 GENERAL VISION INC 254
12.2.4 ROCKWELL AUTOMATION 255
12.2.5 CISCO SYSTEMS, INC 256
12.2.6 MITSUBISHI ELECTRIC CORPORATION 257
12.2.7 ORACLE 258
12.2.8 SAP 259
12.2.9 VICARIOUS 260
12.2.10 UBTECH ROBOTICS CORP LTD 260
12.2.11 AQUANT 261
12.2.12 BRIGHT MACHINES, INC 261
12.2.13 RETHINK ROBOTICS GMBH 262
12.2.14 SPARKCOGNITION 262
12.2.15 FLUTURA 263
13 関連市場 264
13.1 スマートファクトリー市場 264
13.2 イントロダクション 264
13.3 産業用センサー 266
13.3.1 レベルセンサー 268
13.3.2 温度センサー 269
13.3.3 フローセンサー 269
13.3.4 位置センサー 269
13.3.5 圧力センサ 269
13.3.6 フォースセンサー 270
13.3.7 湿度・水蒸気センサ 270
13.3.8 イメージセンサ 270
13.3.9 ガスセンサ 271
13.4 産業用ロボット 271
13.4.1 従来の産業用ロボット 273
- 13.4.1.1 多関節ロボット 273
- 13.4.1.2 直交ロボット 273
- 13.4.1.3 選択コンプライアンス組立ロボットアーム（SCARA）ロボット 274
- 13.4.1.4 円筒型ロボット 274
- 13.4.1.5 その他のロボット 274
13.4.2 協働ロボット 274
13.5 産業用3Dプリンター 275
13.6 マシンビジョンシステム 278
13.6.1 カメラ 280
13.6.2 フレームグラバー、光学系、LED照明 280
13.6.3 プロセッサー・ソフトウェア 281
14 付録 282
14.1 業界エキスパートの考察 282
14.2 ディスカッションガイド 283
14.3 ナレッジストア 286
14.4 カスタマイズオプション 288
14.5 関連レポート 288
14.6 執筆者の詳細 289
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Description
Table of Contents
1 INTRODUCTION 36
1.1 STUDY OBJECTIVES 36
1.2 MARKET DEFINITION 36
1.2.1 INCLUSIONS AND EXCLUSIONS 37
1.3 STUDY SCOPE 37
1.3.1 MARKETS COVERED 37
1.3.2 REGIONAL SCOPE 38
1.3.3 YEARS CONSIDERED 38
1.4 CURRENCY CONSIDERED 39
1.5 STAKEHOLDERS 39
1.6 SUMMARY OF CHANGES… 40
1.6.1 RECESSION IMPACT ANALYSIS 40
2 RESEARCH METHODOLOGY 41
2.1 RESEARCH DATA 41
2.1.1 SECONDARY DATA 42
- 2.1.1.1 List of major secondary sources 42
- 2.1.1.2 Key data from secondary sources 43
2.1.2 PRIMARY DATA 43
- 2.1.2.1 Primary interviews with experts 44
- 2.1.2.2 Breakdown of primaries 44
- 2.1.2.3 Key data from primary sources 45
2.1.3 SECONDARY AND PRIMARY RESEARCH 46
- 2.1.3.1 Key industry insights 47
2.2 MARKET SIZE ESTIMATION 47
2.2.1 BOTTOM-UP APPROACH 47
- 2.2.1.1 Approach to derive market size using bottom-up analysis 47
2.2.2 TOP-DOWN APPROACH 48
- 2.2.2.1 Approach to derive market size using bottom-up analysis 49
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 50
2.4 RESEARCH ASSUMPTIONS 51
2.5 PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET 51
2.6 RESEARCH LIMITATIONS 52
2.7 RISK ASSESSMENT 52
3 EXECUTIVE SUMMARY 53
4 PREMIUM INSIGHTS 59
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET 59
4.2 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING 60
4.3 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY 60
4.4 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION 61
4.5 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY 62
4.6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY 63
5 MARKET OVERVIEW 64
5.1 INTRODUCTION 64
5.2 MARKET DYNAMICS 65
5.2.1 DRIVERS 65
- 5.2.1.1 Pressing need to handle large and complex datasets effectively 65
- 5.2.1.2 Rising adoption of IIoT and automation technologies by manufacturing firms 66
- 5.2.1.3 Thriving semiconductor chipset industry due to increasing adoption of AI technology 66
- 5.2.1.4 Growing venture capital and seed funding opportunities for startups entering in AI-driven manufacturing 67
5.2.2 RESTRAINTS 68
- 5.2.2.1 Reluctance among manufacturers to adopt AI-based technologies 68
5.2.3 OPPORTUNITIES 68
- 5.2.3.1 Utilization of AI-powered predictive analytics and production planning apps to enhance manufacturing efficiency 68
- 5.2.3.2 Execution of ML and NLP to automate and upgrade business processes 69
5.2.4 CHALLENGES 69
- 5.2.4.1 Shortage of skilled workforce, especially in developing countries 69
- 5.2.4.2 Concerns regarding data privacy and stringent data security regulations 70
5.3 VALUE CHAIN ANALYSIS 70
5.4 ECOSYSTEM MAPPING 72
5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 74
5.6 PORTER’S FIVE FORCES ANALYSIS 74
5.6.1 BARGAINING POWER OF SUPPLIERS 76
5.6.2 BARGAINING POWER OF BUYERS 76
5.6.3 THREAT OF NEW ENTRANTS 76
5.6.4 THREAT OF SUBSTITUTES 76
5.6.5 INTENSITY OF COMPETITIVE RIVALRY 76
5.7 CASE STUDY ANALYSIS 76
5.8 TECHNOLOGY ANALYSIS 78
5.9 PRICING ANALYSIS 78
5.9.1 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS 78
5.9.2 AVERAGE SELLING PRICE TREND OF PROCESSORS, BY TYPE 79
5.10 TRADE ANALYSIS 81
5.10.1 IMPORT SCENARIO 81
5.10.2 EXPORT SCENARIO 82
5.11 PATENT ANALYSIS 83
5.12 KEY STAKEHOLDERS AND BUYING CRITERIA 88
5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS 88
5.12.2 BUYING CRITERIA 89
5.13 KEY CONFERENCES AND EVENTS, 2023-2025 90
5.14 REGULATORY LANDSCAPE 91
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 91
5.14.2 STANDARDS IN ITS/C-ITS 93
6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING 94
6.1 INTRODUCTION 95
6.2 HARDWARE 97
6.2.1 PROCESSORS 98
- 6.2.1.1 Robust parallel processing capabilities of processors to foster adoption in AI applications 98
- 6.2.1.1.1 Microprocessor units (MPUs) 99
- 6.2.1.1.2 Graphics processing units (GPUs) 99
- 6.2.1.1.3 Field programmable gate array (FPGA) 99
- 6.2.1.1.4 Application-specific integrated circuits (ASICs) 99
- 6.2.1.1 Robust parallel processing capabilities of processors to foster adoption in AI applications 98
6.2.2 MEMORY DEVICES 100
- 6.2.2.1 High demand for high-bandwidth memory devices to drive market 100
6.2.3 NETWORK DEVICES 100
- 6.2.3.1 Increased implementation of Ethernet adaptors and interconnects to create opportunities for network device providers 100
6.3 SOFTWARE 101
6.3.1 AI SOLUTIONS 102
- 6.3.1.1 Rising use of nonprocedural languages to develop AI solutions to boost segmental growth 102
- 6.3.1.2 On-premises 102
- 6.3.1.2.1 Greater flexibility and control offered by on-premises AI solutions to fuel segmental growth 102
- 6.3.1.3 Cloud 103
- 6.3.1.3.1 Reduced operational costs, hassle-free deployment, and high scalability provided by cloud deployment model to drive segmental growth 103
6.3.2 AI PLATFORMS 103
- 6.3.2.1 Increasing adoption of AI platforms to develop learning algorithms and intelligent applications to support segmental growth 103
- 6.3.2.2 Machine learning framework 104
- 6.3.2.3 Application program interface (API) 105
6.4 SERVICES 105
6.4.1 DEPLOYMENT & INTEGRATION 106
- 6.4.1.1 Growing demand for deployment and integration services while configuring AI systems in manufacturing sector to drive market 106
6.4.2 SUPPORT & MAINTENANCE 106
- 6.4.2.1 Increasing demand for support & maintenance services to keep systems at acceptable standards to fuel market growth 106
7 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY 107
7.1 INTRODUCTION 108
7.2 MACHINE LEARNING 109
7.2.1 ADVANCEMENTS IN DEEP LEARNING, SUPERVISED LEARNING, AND REINFORCEMENT LEARNING TECHNOLOGIES TO DRIVE MARKET 109
7.2.2 DEEP LEARNING 112
- 7.2.2.1 Growing penetration of IoT, automation, and machine vision technologies in manufacturing plants to drive market 112
7.2.3 SUPERVISED LEARNING 113
- 7.2.3.1 Image recognition, facial recognition, and predictive analytics to contribute to market growth 113
7.2.4 REINFORCEMENT LEARNING 113
- 7.2.4.1 Potential to automatically determine context-specific ideal behavior to maximize performance to drive market 113
7.2.5 UNSUPERVISED LEARNING 113
- 7.2.5.1 Use of algorithms to find hidden data patterns or groupings in large datasets to boost adoption of unsupervised learning technology 113
7.2.6 OTHER TECHNOLOGY TYPES 114
7.3 NATURAL LANGUAGE PROCESSING 114
7.3.1 RISING USE OF NLP-DRIVEN TOOLS TO AUTOMATE COMPLEX BUSINESS PROCESSES TO DRIVE MARKET 114
7.4 CONTEXT-AWARE COMPUTING 116
7.4.1 INCREASING FOCUS ON MAKING REAL-TIME DECISIONS TO ENHANCE QUALITY, SAFETY, AND PRODUCTIVITY TO BOOST DEMAND IN MANUFACTURING SECTOR 116
7.5 COMPUTER VISION 118
7.5.1 INTEGRATION OF COMPUTER VISION TECHNOLOGY TO ANALYZE 3D OBJECTS AND MINIMIZE MATERIAL WASTE TO DRIVE MARKET 118
8 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION 120
8.1 INTRODUCTION 121
8.2 INVENTORY OPTIMIZATION 123
8.2.1 GROWING IMPLEMENTATION OF AI IN MANUFACTURING SECTOR TO ACHIEVE COST-EFFICIENCY AND ENSURE TIMELY PRODUCT DELIVERY TO DRIVE MARKET 123
8.3 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION 125
8.3.1 INCREASING ADOPTION OF LEARNING TECHNOLOGY TO PREVENT UNEXPECTED DOWNTIME DUE TO MACHINE FAILURE TO FUEL MARKET GROWTH 125
8.4 PRODUCTION PLANNING 128
8.4.1 RISING USE OF BIG DATA ANALYTICS IN PRODUCTION PLANNING TO FOSTER MARKET GROWTH 128
8.5 FIELD SERVICES 130
8.5.1 SURGING USE OF AI-POWERED SOLUTIONS IN FIELD SERVICES OFFERED TO OIL & GAS AND ENERGY & POWER INDUSTRY PLAYERS TO SUPPORT MARKET GROWTH 130
8.6 RECLAMATION 131
8.6.1 ELEVATING DEMAND FOR COMPUTER VISION TECHNOLOGY TO IDENTIFY AND SORT RECYCLABLE MATERIALS TO DRIVE MARKET 131
8.7 QUALITY CONTROL 133
8.7.1 GROWING USE OF AI-POWERED QUALITY CONTROL SYSTEMS BY PHARMACEUTICAL AND FOOD & BEVERAGE COMPANIES TO ACCELERATE MARKET GROWTH 133
8.8 CYBERSECURITY 135
8.8.1 HIGH EMPHASIS OF AUTOMATED PLANTS ON AVOIDING DATA BREACHES TO BOOST DEMAND FOR AI-DRIVEN CYBERSECURITY SOLUTIONS 135
8.9 INDUSTRIAL ROBOTS 138
8.9.1 SEAMLESS INTEGRATION OF AI INTO INDUSTRIAL ROBOTS TO IMPROVE PRODUCTION AND EFFICIENCY TO DRIVE MARKET 138
9 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY 140
9.1 INTRODUCTION 141
9.2 AUTOMOTIVE 143
9.2.1 INCREASING ADOPTION OF ML AND COMPUTER VISION TECHNOLOGIES TO ENSURE FLAWLESS PRODUCTION OF VEHICLE PARTS TO DRIVE MARKET 143
9.3 ENERGY & POWER 144
9.3.1 GROWING IMPLEMENTATION OF AI TO MINIMIZE ENERGY WASTE AND REDUCE ENERGY COSTS TO BOOST SEGMENTAL GROWTH 144
9.4 PHARMACEUTICALS 146
9.4.1 RISING USE OF AI IN QUALITY CONTROL AND PRODUCTION PLANNING APPLICATIONS TO STIMULATE MARKET GROWTH 146
9.5 METALS & HEAVY MACHINERY 147
9.5.1 INCREASED USE OF ROBOTICS IN METALS & HEAVY MACHINERY INDUSTRY TO AVOID UNPLANNED DOWNTIME AND WASTAGE TO DRIVE MARKET 147
9.6 SEMICONDUCTOR & ELECTRONICS 149
9.6.1 SURGING FOCUS ON DEVELOPING MINIATURE SEMICONDUCTOR AND ELECTRONICS EQUIPMENT TO BOOST ADOPTION OF AI-BASED INDUSTRIAL ROBOTS 149
9.7 FOOD & BEVERAGES 150
9.7.1 GROWING ADOPTION OF AUTOMATION TO MAINTAIN HYGIENIC FOOD PROCESSING SOLUTIONS TO FUEL MARKET GROWTH 150
9.8 OTHER INDUSTRIES 152
10 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION 154
10.1 INTRODUCTION 155
10.2 NORTH AMERICA 157
10.2.1 NORTH AMERICA: RECESSION IMPACT 157
10.2.2 US 161
- 10.2.2.1 Rising adoption of industrial robots due to shortage of skilled workforce to drive market 161
10.2.3 CANADA 161
- 10.2.3.1 Increasing investments by SMEs in IoT to boost demand for AI-based solutions 161
10.2.4 MEXICO 162
- 10.2.4.1 Surging foreign direct investments in AI and robotics to support market growth 162
10.3 EUROPE 162
10.3.1 EUROPE: RECESSION IMPACT 162
10.3.2 GERMANY 166
- 10.3.2.1 High adoption of computer vision systems to get real-time manufacturing data to fuel market growth 166
10.3.3 UK 167
- 10.3.3.1 Increasing investment by government in robotics and AI technologies to foster market growth 167
10.3.4 FRANCE 167
- 10.3.4.1 Rising adoption of AI by manufacturing firms to fuel market growth 167
10.3.5 REST OF EUROPE 168
10.4 ASIA PACIFIC 169
10.4.1 CHINA 173
- 10.4.1.1 Strategic planning to achieve Next Generation AI goal by 2030 to boost demand for AI technology by manufacturing firms 173
10.4.2 JAPAN 173
- 10.4.2.1 Strong presence of top-tier IT, machinery, and automobile manufacturing firms to support market growth 173
10.4.3 SOUTH KOREA 174
- 10.4.3.1 Presence of massive computing data centers for AI research to contribute to market growth 174
10.4.4 REST OF ASIA PACIFIC 174
10.5 ROW 175
10.5.1 SOUTH AMERICA 177
- 10.5.1.1 Increased investments in IT infrastructure development to fuel market growth 177
10.5.2 MIDDLE EAST & AFRICA 177
- 10.5.2.1 Increasing deployment of cloud-based cognitive computing in manufacturing sector to drive market 177
11 COMPETITIVE LANDSCAPE 178
11.1 INTRODUCTION 178
11.2 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS 178
11.3 REVENUE ANALYSIS OF TOP 5 PLAYERS 179
11.4 MARKET SHARE ANALYSIS 180
11.5 COMPANY EVALUATION MATRIX, 2022 182
11.5.1 STARS 182
11.5.2 PERVASIVE PLAYERS 182
11.5.3 EMERGING LEADERS 182
11.5.4 PARTICIPANTS 182
11.6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPANY FOOTPRINT 184
11.6.1 COMPANY FOOTPRINT OF TOP PLAYERS 184
11.7 SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION MATRIX, 2022 188
11.7.1 PROGRESSIVE COMPANIES 188
11.7.2 RESPONSIVE COMPANIES 188
11.7.3 DYNAMIC COMPANIES 188
11.7.4 STARTING BLOCKS 188
11.8 COMPETITIVE BENCHMARKING 190
11.9 COMPETITIVE SITUATIONS AND TRENDS 193
12 COMPANY PROFILES 203
12.1 KEY PLAYERS 203
12.1.1 NVIDIA CORPORATION 203
12.1.2 IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) 209
12.1.3 INTEL CORPORATION 215
12.1.4 SIEMENS 220
12.1.5 GENERAL ELECTRIC 226
12.1.6 GOOGLE LLC 231
12.1.7 MICROSOFT 235
12.1.8 MICRON TECHNOLOGY, INC 240
12.1.9 AMAZON WEB SERVICES, INC. (AWS) 246
12.1.10 SIGHT MACHINE 249
12.2 OTHER PLAYERS 252
12.2.1 PROGRESS SOFTWARE CORPORATION (DATARPM) 252
12.2.2 AIBRAIN INC 253
12.2.3 GENERAL VISION INC 254
12.2.4 ROCKWELL AUTOMATION 255
12.2.5 CISCO SYSTEMS, INC 256
12.2.6 MITSUBISHI ELECTRIC CORPORATION 257
12.2.7 ORACLE 258
12.2.8 SAP 259
12.2.9 VICARIOUS 260
12.2.10 UBTECH ROBOTICS CORP LTD 260
12.2.11 AQUANT 261
12.2.12 BRIGHT MACHINES, INC 261
12.2.13 RETHINK ROBOTICS GMBH 262
12.2.14 SPARKCOGNITION 262
12.2.15 FLUTURA 263
13 ADJACENT MARKET 264
13.1 SMART FACTORY MARKET 264
13.2 INTRODUCTION 264
13.3 INDUSTRIAL SENSORS 266
13.3.1 LEVEL SENSORS 268
- 13.3.1.1 Rising demand for level sensors to detect and measure levels of liquids, bulk solids, and other fluids to drive market 268
13.3.2 TEMPERATURE SENSORS 269
- 13.3.2.1 Increasing use of temperature sensors in chemicals, energy & power, and oil & gas vertical to support market growth 269
13.3.3 FLOW SENSORS 269
- 13.3.3.1 Rising adoption of flow sensors to measure rate of fluid flow either directly or inferentially to fuel market growth 269
13.3.4 POSITION SENSORS 269
- 13.3.4.1 Increasing application areas of position sensors increasing with technological advancements to drive market 269
13.3.5 PRESSURE SENSORS 269
- 13.3.5.1 Growing adoption of pressure sensors in semiconductor processing, robotics, and test & measurement in industrial applications to contribute to market growth 269
13.3.6 FORCE SENSORS 270
- 13.3.6.1 Rising use of force sensors to ensure safe robot and human interaction to drive market 270
13.3.7 HUMIDITY & MOISTURE SENSORS 270
- 13.3.7.1 Extensive use of humidity and moisture sensors in chemicals, pharmaceuticals, oil & gas, and food & beverages verticals to drive market 270
13.3.8 IMAGE SENSORS 270
- 13.3.8.1 Increasing adoption of image sensors to convert optical images into electronic signals to support market growth 270
13.3.9 GAS SENSORS 271
- 13.3.9.1 Surging adoption of gas sensors to measure concentration of different gases in air to contribute to market growth 271
13.4 INDUSTRIAL ROBOTS 271
13.4.1 TRADITIONAL INDUSTRIAL ROBOTS 273
- 13.4.1.1 Articulated robots 273
- 13.4.1.1.1 Growing use of articulated robots in assembly and welding to drive segmental growth 273
- 13.4.1.2 Cartesian robots 273
- 13.4.1.2.1 Potential to carry heavy loads to boost demand for cartesian robots in industrial applications 273
- 13.4.1.3 Selective compliance assembly robot arm (SCARA) robots 274
- 13.4.1.3.1 Growing utilization of SCARA robots in welding and spray-painting operations to fuel market growth 274
- 13.4.1.4 Cylindrical robots 274
- 13.4.1.4.1 Suitability of cylindrical robots for pick and place operations to drive market 274
- 13.4.1.5 Other robots 274
- 13.4.1.1 Articulated robots 273
13.4.2 COLLABORATIVE ROBOTS 274
- 13.4.2.1 Highest adoption rate of collaborative robots in industrial applications to drive market 274
13.5 INDUSTRIAL 3D PRINTERS 275
13.5.1 RISING ADOPTION OF INDUSTRIAL PRINTERS TO CONSTRUCT THREE-DIMENSIONAL SOLID OBJECTS TO DRIVE MARKET 275
13.6 MACHINE VISION SYSTEMS 278
13.6.1 CAMERAS 280
- 13.6.1.1 Rising need for high-quality images to boost demand for smart cameras 280
13.6.2 FRAME GRABBERS, OPTICS, AND LED LIGHTING 280
- 13.6.2.1 Influence of position and quality of other key components, such as LEDs and frame grabbers, on image quality to lead to high demand 280
13.6.3 PROCESSORS AND SOFTWARE 281
- 13.6.3.1 Growing integration of processors and software in machine vision systems to drive market 281
14 APPENDIX 282
14.1 INSIGHTS FROM INDUSTRY EXPERTS 282
14.2 DISCUSSION GUIDE 283
14.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 286
14.4 CUSTOMIZATION OPTIONS 288
14.5 RELATED REPORTS 288
14.6 AUTHOR DETAILS 289
TABLE 1 ROLE OF MAJOR COMPANIES IN ECOSYSTEM TABLE 2 IMPACT OF EACH FORCE ON AI IN MANUFACTURING MARKET TABLE 3 SIEMENS GAMESA DEPLOYED AI SOLUTION TO ACCELERATE INSPECTION SPEED OF TURBINE BLADES TABLE 4 VOLVO ADOPTED MACHINE LEARNING-DRIVEN DATA ANALYTICS TO PREDICT VEHICLE BREAKDOWN AND IMPROVE SERVICE TABLE 5 ROLLS-ROYCE CHOSE MICROSOFT CORTANA TO SCHEDULE MAINTENANCE PLANS AND REDUCE OPERATIONAL DISRUPTIONS TABLE 6 PAPER PACKAGING FIRM IMPLEMENTED EMA APPLICATION SUITE TO IMPROVE PRODUCTION PROCESS AND DIAGNOSE QUALITY ISSUES TABLE 7 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS, BY TYPE TABLE 8 AVERAGE SELLING PRICE OF PROCESSORS, 2022 (USD) TABLE 9 AVERAGE SELLING PRICE OF PROCESSORS USED IN AI-BASED MANUFACTURING, BY REGION, 2022 TABLE 10 TOP 20 PATENT OWNERS IN US IN LAST 10 YEARS TABLE 11 RECENT PATENTS RELATED TO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET TABLE 12 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS (%) TABLE 13 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS TABLE 14 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: CONFERENCES AND EVENTS TABLE 15 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 16 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 17 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 18 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS TABLE 19 SECURITY AND PRIVACY STANDARDS DEVELOPED BY EUROPEAN TELECOMMUNICATION STANDARDS INSTITUTE (ETSI) TABLE 20 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING, 2019-2022 (USD MILLION) TABLE 21 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING, 2023-2028 (USD MILLION) TABLE 22 HARDWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION) TABLE 23 HARDWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION) TABLE 24 SOFTWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION) TABLE 25 SOFTWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION) TABLE 26 AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2019-2022 (USD MILLION) TABLE 27 AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2023-2028 (USD MILLION) TABLE 28 AI PLATFORMS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY PLATFORM TYPE, 2019-2022 (USD MILLION) TABLE 29 AI PLATFORMS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY PLATFORM TYPE, 2023-2028 (USD MILLION) TABLE 30 SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION) TABLE 31 SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION) TABLE 32 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION) TABLE 33 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 34 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION) TABLE 35 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION) TABLE 36 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION) TABLE 37 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 38 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION) TABLE 39 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 40 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION) TABLE 41 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION) TABLE 42 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION) TABLE 43 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 44 COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION) TABLE 45 COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 46 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION) TABLE 47 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION) TABLE 48 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION) TABLE 49 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 50 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 51 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 52 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION) TABLE 53 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 54 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 55 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 56 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION) TABLE 57 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 58 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 59 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 60 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION) TABLE 61 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 62 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 63 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 64 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION) TABLE 65 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 66 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 67 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 68 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION) TABLE 69 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 70 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 71 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 72 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION) TABLE 73 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 74 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 75 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 76 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION) TABLE 77 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION) TABLE 78 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 79 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 80 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION) TABLE 81 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION) TABLE 82 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 83 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 84 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 85 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 86 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 87 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 88 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 89 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 90 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 91 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 92 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 93 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 94 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 95 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 96 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 97 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 98 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019-2022 (USD MILLION) TABLE 99 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023-2028 (USD MILLION) TABLE 100 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION) TABLE 101 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION) TABLE 102 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019-2022 (USD MILLION) TABLE 103 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023-2028 (USD MILLION) TABLE 104 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION) TABLE 105 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION) TABLE 106 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019-2022 (USD MILLION) TABLE 107 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023-2028 (USD MILLION) TABLE 108 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION) TABLE 109 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION) TABLE 110 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION) TABLE 111 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION) TABLE 112 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION) TABLE 113 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION) TABLE 114 OVERVIEW OF STRATEGIES ADOPTED BY PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET TABLE 115 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE ANALYSIS, 2022 TABLE 116 APPLICATION AND REGIONAL FOOTPRINT OF TOP COMPANIES TABLE 117 APPLICATION FOOTPRINT OF KEY COMPANIES TABLE 118 OFFERING FOOTPRINT OF KEY COMPANIES TABLE 119 REGIONAL FOOTPRINT OF KEY COMPANIES TABLE 120 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: LIST OF KEY STARTUPS/SMES TABLE 121 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES TABLE 122 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: PRODUCT LAUNCHES, 2021-2023 TABLE 123 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: DEALS, 2021-2023 TABLE 124 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: OTHERS, 2021-2023 TABLE 125 NVIDIA CORPORATION: COMPANY OVERVIEW TABLE 126 NVIDIA CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS TABLE 127 NVIDIA CORPORATION: PRODUCT LAUNCHES TABLE 128 NVIDIA CORPORATION: DEALS TABLE 129 IBM: COMPANY OVERVIEW TABLE 130 IBM: PRODUCT/SOLUTION/SERVICE OFFERINGS TABLE 131 IBM: PRODUCT LAUNCHES TABLE 132 IBM: DEALS TABLE 133 INTEL CORPORATION: COMPANY OVERVIEW TABLE 134 INTEL CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS TABLE 135 INTEL CORPORATION: PRODUCT LAUNCHES TABLE 136 INTEL CORPORATION: DEALS TABLE 137 SIEMENS: COMPANY OVERVIEW TABLE 138 SIEMENS: PRODUCT/SOLUTION/SERVICE OFFERINGS TABLE 139 SIEMENS: PRODUCT LAUNCHES TABLE 140 SIEMENS: DEALS TABLE 141 GENERAL ELECTRIC: COMPANY OVERVIEW TABLE 142 GENERAL ELECTRIC: PRODUCT/SOLUTION/SERVICE OFFERINGS TABLE 143 GENERAL ELECTRIC: PRODUCT LAUNCHES TABLE 144 GENERAL ELECTRIC: DEALS TABLE 145 GOOGLE LLC: COMPANY OVERVIEW TABLE 146 GOOGLE LLC: PRODUCT/SOLUTION/SERVICE OFFERINGS TABLE 147 GOOGLE LLC: PRODUCT LAUNCHES TABLE 148 GOOGLE LLC: DEALS TABLE 149 MICROSOFT: COMPANY OVERVIEW TABLE 150 MICROSOFT: PRODUCT/SOLUTION/SERVICE OFFERINGS TABLE 151 MICROSOFT: PRODUCT LAUNCHES TABLE 152 MICROSOFT: DEALS TABLE 153 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW TABLE 154 MICRON TECHNOLOGY, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS TABLE 155 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES TABLE 156 MICRON TECHNOLOGY: DEALS TABLE 157 MICRON TECHNOLOGY, INC.: OTHERS TABLE 158 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW TABLE 159 AMAZON WEB SERVICES, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS TABLE 160 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES TABLE 161 AMAZON WEB SERVICES, INC.: DEALS TABLE 162 SIGHT MACHINE: COMPANY OVERVIEW TABLE 163 SIGHT MACHINE: PRODUCT/SOLUTION/SERVICE OFFERINGS TABLE 164 SIGHT MACHINE: PRODUCT LAUNCHES TABLE 165 SIGHT MACHINE: DEALS TABLE 166 PROGRESS SOFTWARE CORPORATION (DATARPM): COMPANY OVERVIEW TABLE 167 AIBRAIN INC.: COMPANY OVERVIEW TABLE 168 GENERAL VISION INC.: COMPANY OVERVIEW TABLE 169 ROCKWELL AUTOMATION: COMPANY OVERVIEW TABLE 170 CISCO SYSTEMS, INC.: COMPANY OVERVIEW TABLE 171 MITSUBISHI ELECTRIC CORPORATION: COMPANY OVERVIEW TABLE 172 ORACLE: COMPANY OVERVIEW TABLE 173 SAP: COMPANY OVERVIEW TABLE 174 VICARIOUS: COMPANY OVERVIEW TABLE 175 UBTECH ROBOTICS CORP LTD: COMPANY OVERVIEW TABLE 176 AQUANT: COMPANY OVERVIEW TABLE 177 BRIGHT MACHINES, INC.: COMPANY OVERVIEW TABLE 178 RETHINK ROBOTICS GMBH: COMPANY OVERVIEW TABLE 179 SPARKCOGNITION: COMPANY OVERVIEW TABLE 180 FLUTURA: COMPANY OVERVIEW TABLE 181 SMART FACTORY MARKET, BY COMPONENT, 2018-2021 (USD MILLION) TABLE 182 SMART FACTORY MARKET, BY COMPONENT, 2022-2027 (USD MILLION) TABLE 183 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY SENSOR TYPE, 2018-2021 (USD MILLION) TABLE 184 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY SENSOR TYPE, 2022-2027 (USD MILLION) TABLE 185 INDUSTRIAL SENSORS: SMART FACTORY MARKET, 2018-2021 (MILLION UNITS) TABLE 186 INDUSTRIAL SENSORS: SMART FACTORY MARKET, 2022-2027 (MILLION UNITS) TABLE 187 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY REGION, 2018-2021 (USD MILLION) TABLE 188 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY REGION, 2022-2027 (USD MILLION) TABLE 189 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2018-2021 (USD MILLION) TABLE 190 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2022-2027 (USD MILLION) TABLE 191 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2018-2021 (THOUSAND UNITS) TABLE 192 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2022-2027 (THOUSAND UNITS) TABLE 193 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY REGION, 2018-2021 (USD MILLION) TABLE 194 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY REGION, 2022-2027 (USD MILLION) TABLE 195 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY OFFERING, 2018-2021 (USD MILLION) TABLE 196 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY OFFERING, 2022-2027 (USD MILLION) TABLE 197 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, 2018-2021 (MILLION UNITS) TABLE 198 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, 2022-2027 (MILLION UNITS) TABLE 199 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY PROCESS, 2018-2021 (USD MILLION) TABLE 200 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY PROCESS, 2022-2027 (USD MILLION) TABLE 201 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY REGION, 2018-2021 (USD MILLION) TABLE 202 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY REGION, 2022-2027 (USD MILLION) TABLE 203 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY PRODUCT, 2018-2021 (USD MILLION) TABLE 204 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY PRODUCT, 2022-2027 (USD MILLION) TABLE 205 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY COMPONENT, 2018-2021 (USD MILLION) TABLE 206 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY COMPONENT, 2022-2027 (USD MILLION) TABLE 207 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY REGION, 2018-2021 (USD MILLION) TABLE 208 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY REGION, 2022-2027 (USD MILLION)
FIGURE 1 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH DESIGN FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE APPROACH) FIGURE 5 DATA TRIANGULATION FIGURE 6 ASSUMPTIONS FOR RESEARCH STUDY FIGURE 7 RISK ASSESSMENT OF RESEARCH STUDY FIGURE 8 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, 2019-2028 (USD MILLION) FIGURE 9 SOFTWARE OFFERINGS TO CAPTURE LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028 FIGURE 10 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028 FIGURE 11 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION APPLICATION TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023 FIGURE 12 AUTOMOTIVE INDUSTRY ACCOUNTED FOR LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2022 FIGURE 13 ASIA PACIFIC TO REGISTER HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DURING FORECAST PERIOD FIGURE 14 RISING ADOPTION OF IIOT AND AUTOMATION TECHNOLOGY BY MANUFACTURING FIRMS TO DRIVE MARKET GROWTH FIGURE 15 SOFTWARE SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023 FIGURE 16 MACHINE LEARNING SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023 FIGURE 17 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023 FIGURE 18 AUTOMOTIVE SEGMENT HELD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC IN 2022 FIGURE 19 CHINA TO REGISTER HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BETWEEN 2023 AND 2028 FIGURE 20 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DYNAMICS FIGURE 21 IMPACT ANALYSIS OF DRIVERS FIGURE 22 IMPACT ANALYSIS OF RESTRAINTS FIGURE 23 IMPACT ANALYSIS OF OPPORTUNITIES FIGURE 24 IMPACT ANALYSIS OF CHALLENGES FIGURE 25 ARTIFICIAL INTELLIGENCE IN MANUFACTURING VALUE CHAIN ANALYSIS FIGURE 26 ECOSYSTEM ANALYSIS FIGURE 27 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS FIGURE 28 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: PORTER’S FIVE FORCES ANALYSIS FIGURE 29 AVERAGE SELLING PRICE OF KEY PLAYERS, BY PROCESSOR TYPE FIGURE 30 AVERAGE SELLING PRICE OF PROCESSORS, 2019-2028 (USD) FIGURE 31 IMPORT VALUES, BY KEY COUNTRY, 2018-2022 (USD MILLION) FIGURE 32 EXPORT VALUES, BY KEY COUNTRY, 2018-2022 (USD MILLION) FIGURE 33 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS FIGURE 34 NUMBER OF PATENTS GRANTED PER YEAR FROM 2013 TO 2022 FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS FIGURE 36 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS FIGURE 37 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING FIGURE 38 SOFTWARE SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028 FIGURE 39 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING IN 2028 FIGURE 40 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION FIGURE 41 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023 FIGURE 42 MACHINE LEARNING TECHNOLOGY TO DOMINATE MARKET FOR PREDICTIVE MAINTENANCE & MACHINERY INSPECTION APPLICATIONS DURING FORECAST PERIOD FIGURE 43 ASIA PACIFIC TO HOLD LARGEST MARKET SHARE FOR CYBERSECURITY APPLICATIONS IN 2023 FIGURE 44 AUTOMOTIVE INDUSTRY HELD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023 FIGURE 45 ASIA PACIFIC TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR AUTOMOTIVE INDUSTRY IN 2028 FIGURE 46 NORTH AMERICA TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR PHARMACEUTICALS INDUSTRY IN 2028 FIGURE 47 CHINA, SOUTH KOREA, UK, AND US TO BE HOTSPOTS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FIGURE 48 ASIA PACIFIC TO DOMINATE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET THROUGHOUT FORECAST PERIOD FIGURE 49 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA FIGURE 50 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE FIGURE 51 GERMANY HELD LARGEST SHARE OF EUROPEAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2022 FIGURE 52 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC FIGURE 53 FIVE-YEAR REVENUE ANALYSIS OF TOP 5 PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FIGURE 54 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE, BY COMPANY, 2022 FIGURE 55 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET (GLOBAL) COMPANY EVALUATION MATRIX, 2022 FIGURE 56 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET (GLOBAL) SME EVALUATION MATRIX, 2022 FIGURE 57 NVIDIA CORPORATION: COMPANY SNAPSHOT FIGURE 58 IBM: COMPANY SNAPSHOT FIGURE 59 INTEL CORPORATION: COMPANY SNAPSHOT FIGURE 60 SIEMENS: COMPANY SNAPSHOT FIGURE 61 GENERAL ELECTRIC: COMPANY SNAPSHOT FIGURE 62 GOOGLE LLC: COMPANY SNAPSHOT FIGURE 63 MICROSOFT: COMPANY SNAPSHOT FIGURE 64 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT FIGURE 65 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT FIGURE 66 SMART FACTORY MARKET, BY COMPONENT FIGURE 67 INDUSTRIAL SENSORS TO HOLD LARGEST SHARE OF SMART FACTORY MARKET FOR COMPONENTS IN 2027
