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商品コード MM091320745HYY
出版日 2022/1/6
MarketsandMarkets
英文187 ページグローバル

家畜識別市場調査とCovid-19影響分析 - オファリング別、種別、技術別、デバイスライフサイクル別、地理別:グローバル市場予測(〜2026年)

Livestock Identification Market with COVID-19 Impact Analysis by Offering (Hardware, Software, Services), Species (Cattle, Poultry, Swine), Technology, Device Lifecycle (Short Period, Long Period), Geography - Global Forecast to 2026


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商品コード MM091320745HYY◆2025年1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 2022/1/6
MarketsandMarkets
英文 187 ページグローバル

家畜識別市場調査とCovid-19影響分析 - オファリング別、種別、技術別、デバイスライフサイクル別、地理別:グローバル市場予測(〜2026年)

Livestock Identification Market with COVID-19 Impact Analysis by Offering (Hardware, Software, Services), Species (Cattle, Poultry, Swine), Technology, Device Lifecycle (Short Period, Long Period), Geography - Global Forecast to 2026



全体要約

2021年の家畜識別市場の規模は14億XX米ドルで、2026年には23億XX米ドルに達すると見込まれています。この市場は、予想期間中に年平均成長率9.8%で成長するとされています。家畜の効果的な管理のためのIoTおよびAI対応デバイスの急速な採用や、自動化の需要の高まりが市場成長を促進している一方で、初期投資の高さや、識別システムの利点に関する認識不足が課題となっています。

2020年にはハードウェアの提供が家畜識別市場で最大のシェアを占めました。特に、RFIDタグやセンサー、GPSトラッカーなどの機器が利用されています。牛種が市場で最大のシェアを持ち、特に酪農における自動識別が効果的な管理に寄与しています。また、APAC地域は2021年から2026年にかけて最高の成長率を記録する見込みです。主な企業には、Allflex、Datamars、Nedapなどがあります。

関連する質問

14億USD (2021年)

9.8% (2021年から2026年)

Allflex (米国), Datamars (スイス), Nedap (オランダ), Leader Products (オーストラリア), CAISLEY International GmbH (ドイツ), Livestock Improvement Corporation (ニュージーランド), Kupsan Tag Company (トルコ), MS Schippers (オランダ), Shearwell Data (英国), Luoyang Laipson Information Technology CO., Ltd (中国)

IoT対応デバイスの急速な導入, 家畜農業における自動化の需要の高まり, 家畜のリアルタイム識別と監視に対する農家の焦点の増加


概要

グローバルな家畜識別市場の規模は、2021年に14億米ドルと評価され、2026年までに23億米ドルに達すると予測されています。予測期間中、年平均成長率(CAGR)は9.8%で成長することが期待されています。家畜の効果的な管理のためのIoTおよびAI対応デバイスの急速な採用、自動化に対する家畜農業の需要の高まり、家畜のリアルタイム識別および監視に対する農家の焦点の増加は、家畜識別市場の主要な推進要因です。しかし、高い初期投資と、牧場主や家畜所有者の間での家畜識別システムの利点に対する認識の低さが、市場の成長を阻害している主な要因です。
「ハードウェアの提供が予測期間中に最大シェアを占める。」
2020年にはハードウェア製品が家畜識別市場の最大シェアを占めており、予測期間中も同様の傾向が観察される可能性があります。このセグメントの最大の市場規模は、家畜種を識別し監視するためにRFIDタグ、視覚識別タグ、リーダーやアプリケーター、センサー、スマートカメラ、GPSトラッカーなどのハードウェアデバイスの使用が増加していることに起因しています。これらのデバイスを通じて収集されたデータは、農家が動物を識別し、動物の健康と福祉を改善するのに役立ちます。また、これらのデバイスは動物の攻撃性に関する警告や警告サインを農家に送信します。
「牛種は予測期間中に最も大きなシェアを占める見込みです。」
2020年には、牛が家畜識別市場で最大のシェアを占めており、予測期間中に類似の傾向が見られると予想されています。大規模な家畜農場の手動識別や管理は、コストがかかるだけでなく、時間もかかります。乳牛農場では、ハードウェアとソフトウェアのソリューションにより、家畜の自動識別とデータキャプチャが可能になり、家畜種の移動管理と制御が効果的に行えます。これらの利点により、牛セグメントは予測期間中に家畜識別市場で最大の規模を占めると予想されています。
「アジア太平洋地域は、2021年から2026年までの家畜識別市場において最も高いCAGRを記録する見込みです。」
発展途上国における急速な人口増加は、畜産物の供給業者に対して、より効率的かつ生産的になるよう圧力をかけており、その結果、畜産ソリューションの販売が促進されています。動物監視アプリケーションにおけるIoT対応の家畜識別システムの浸透も、この市場の成長を後押ししています。APACにおける精密畜産業の採用を促進する要因には、家畜関連の食品需要の高まり、限られた資源での収量向上の必要性の高まり、予期しない気候変動から牛を保護する必要性が含まれています。この地域の農家が直面している主な課題は、高い資本の要件、低い投資回収率、および家畜識別技術の使用に関する知識の不足です。
家畜識別市場で活動するさまざまな主要組織の最高経営責任者(CEO)、マーケティングディレクター、その他のイノベーションおよびテクノロジーディレクター、そして幹部との詳細なインタビューが実施されました。
• 企業タイプ別:ティア1 - 25%、ティア2 - 40%、ティア3 - 35%
• 役職別:Cクラスの幹部 - 75%、マネージャー - 25%
地域別:アメリカ - 40%、ヨーロッパ - 23%、アジア太平洋 - 26%、その他の地域 - 11%
家畜識別市場には、Allflex(米国)、Datamars(スイス)、Nedap(オランダ)、Leader Products(オーストラリア)、CAISLEY International GmbH(ドイツ)、Livestock Improvement Corporation(ニュージーランド)、Kupsan Tag Company(トルコ)、MS Schippers(オランダ)、Shearwell Data(英国)、Luoyang Laipson Information Technology CO., Ltd(中国)などの主要企業が含まれています。本研究では、これらの主要企業の競争分析、企業プロフィール、最近の動向、主要市場戦略を詳しく調査しています。
調査範囲
レポートは、提供物、種、デバイスライフサイクル、地域に基づいて家畜識別市場を定義し、説明し、予測します。家畜識別市場の成長に影響を与える要因として、推進要因、制約、機会、課題に関する詳細な情報を提供します。さらに、市場での地位を強化するために主要プレーヤーが実施した製品の発表、買収、拡大、契約、パートナーシップ、および開発などの競争的な展開を分析します。
レポート購入の主な利点
この報告書は、市場のリーダーや新規参入者に、全体の畜産識別市場とそのサブセグメントにおける収益数値の最も近い近似についての情報を提供します。この報告書は、ステークホルダーが競争環境を理解し、ビジネスをより良く位置づけ、適切な市場投入戦略を計画するための洞察を得るのに役立ちます。また、この報告書は、ステークホルダーが市場の動向を理解し、主要な市場の推進要因、制約、課題、および機会についての情報を提供します。

※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 28

    • 1.1 調査の目的 28
    • 1.2 定義と範囲 29
      • 1.2.1 包含・除外事項 29
    • 1.3 調査範囲 30
      • 1.3.1 対象市場 30
      • 1.3.2 地理的範囲 31
      • 1.3.3 対象年 31
    • 1.4 通貨 31
    • 1.5 制約 32
    • 1.6 ステークホルダー 32
  • 2 調査手法 33

    • 2.1 リサーチデータ 33
      • 2.1.1 一次調査・二次調査 35
      • 2.1.2 二次データ 36
        • 2.1.2.1 二次情報の主要データ 36
      • 2.1.3 一次データ 36
        • 2.1.3.1 一次ブレークダウン 36
        • 2.1.3.2 業界についての主な考察 37
        • 2.1.3.3 主なオピニオンリーダー 37
    • 2.2 市場規模予測 38
      • 2.2.1 ボトムアップアプローチ 38
      • 2.2.2 トップダウンアプローチ 39
    • 2.3 市場の内訳とデータのトライアンギュレーション 41
    • 2.4 調査の前提 42
  • 3 エグゼクティブサマリー 43

    • 3.1 家畜識別市場:COVID-19の前と後のシナリオ 44
      • 3.1.1 家畜識別市場:現実的シナリオ 44
      • 3.1.2 家畜識別市場:楽観的シナリオ 44
      • 3.1.3 家畜識別市場:悲観的シナリオ 45
  • 4 更なる考察 48

    • 4.1 家畜識別市場の魅力的な成長機会 48
    • 4.2 家畜識別の市場、オファリング別 49
    • 4.3 家畜識別の市場、デバイスライフサイクル別 49
    • 4.4 家畜識別の市場、種別 50
    • 4.5 家畜識別の市場、地域別 50
  • 5 市場概要 51

    • 5.1 イントロダクション 51
    • 5.2 市場力学 51
      • 5.2.1 促進要因 52
      • 5.2.2 抑制要因 54
      • 5.2.3 市場機会 55
        • 5.2.3.1 発展途上国での家畜識別技術の導入が進む 55
        • 5.2.3.2 酪農、養鶏、養豚の農場が世界的に増加している 56
      • 5.2.4 課題 57
        • 5.2.4.1 厳しい政府の規制と畜産物貿易の障壁 57
    • 5.3 特許分析 58
    • 5.4 規制や関税の概観 61
      • 5.4.1 課税 61
        • 5.4.1.1 関税が家畜識別市場に与える影響 61
      • 5.4.2 規制 62
      • 5.4.3 規格 62
        • 5.4.3.1 国際標準化機構(ISO) 62
        • 5.4.3.2 国際エレクトロニクスシンポジウム(IES) 62
    • 5.5 ケーススタディ分析 63
    • 5.6 エコシステム 65
    • 5.7 バリューチェーン分析 66
    • 5.8 技術分析 67
      • 5.8.1 家畜識別におけるAIとブロックチェーンについて 67
      • 5.8.2 酪農家における技術導入 67
    • 5.9 ポーターのファイブフォース分析 68
      • 5.9.1 競争の激しさ 69
      • 5.9.2 代替品の脅威 70
      • 5.9.3 買い手の交渉力 70
      • 5.9.4 サプライヤーの交渉力 70
      • 5.9.5 新規参入の脅威 70
    • 5.10 価格分析 70
  • 6 家畜識別ソリューションに使われている技術 72

    • 6.1 イントロダクション 72
    • 6.2 低周波RFID 72
    • 6.3 高周波RFID 72
    • 6.4 超高周波(UHF)帯RFID 73
    • 6.5 ジグビー 73
    • 6.6 4G/5G 73
    • 6.7 LoRa 74
    • 6.8 その他 74
  • 7 家畜識別の市場、オファリング別 75

    • 7.1 イントロダクション 76
    • 7.2 ハードウェア 77
      • 7.2.1 電子タグ 79
        • 7.2.1.1 GPSタグ 79
        • 7.2.1.2 RFIDタグ 80
          • 7.2.1.2.1 家畜の識別と追跡のための低周波RFIDタグの採用が増加し、市場成長を促進 80
          • 7.2.1.2.2 イヤータグ 81
          • 7.2.1.2.3 レッグタグ 81
          • 7.2.1.2.4 バックタグ 82
      • 7.2.2 視覚識別タグ 82
        • 7.2.2.1 農家が牛の群れを視覚的に識別し、追跡するのに役立つ視覚識別タグ 82
        • 7.2.2.2 一体型タグ 82
        • 7.2.2.3 ツーピースタグ 83
        • 7.2.2.4 ブリスケのタグ 83
      • 7.2.3 読者・アプリケーター 83
      • 7.2.4 その他のハードウェアの提供 83
        • 7.2.4.1 センサー 84
          • 7.2.4.1.1 小規模畜産農家で普及が進むセンサー 84
        • 7.2.4.2 ボーラス 85
          • 7.2.4.2.1 ボーラスは安全な家畜電子識別の代替手段 85
      • 7.2.5 その他 85
        • 7.2.5.1 スマートカメラによる顔認証システム 85
        • 7.2.5.2 ティッシュサンプリングソリューション 86
    • 7.3 ソフトウェア 86
      • 7.3.1 オンクラウド 87
        • 7.3.1.1 クラウドベースのソフトウェアソリューションは、柔軟でスケーラブル、そして手頃な価格 87
      • 7.3.2 家畜記録管理ソフト/オンプレミス型 87
    • 7.4 サービス 88
      • 7.4.1 データ分析 88
      • 7.4.2 メンテナンス・サポートサービス 89
  • 8 家畜識別の市場、デバイスライフサイクル別 90

    • 8.1 イントロダクション 91
    • 8.2 短期間 92
    • 8.3 長い期間 92
  • 9 家畜識別の市場、種別 93

    • 9.1 イントロダクション 94
    • 9.2 牛 95
    • 9.3 家禽類 97
    • 9.4 豚 98
    • 9.5 その他 99
  • 10 地域分析 100

    • 10.1 イントロダクション 101
    • 10.2 アメリカズ 102
      • 10.2.1 Mnmの視点(Covid-19の影響) 103
      • 10.2.2 北米 104
        • 10.2.2.1 米国 106
        • 10.2.2.2 カナダ 107
        • 10.2.2.3 メキシコ 108
      • 10.2.3 南米 109
        • 10.2.3.1 ブラジル 111
        • 10.2.3.2 アルゼンチン 112
        • 10.2.3.3 ウルグアイ 113
        • 10.2.3.4 チリ 113
        • 10.2.3.5 その他南米 114
    • 10.3 ヨーロッパ 116
      • 10.3.1 英国 118
      • 10.3.2 ドイツ 119
      • 10.3.3 フランス 120
      • 10.3.4 デンマーク 121
      • 10.3.5 ノルウェー 122
      • 10.3.6 オランダ 122
      • 10.3.7 スペイン 123
      • 10.3.8 ポーランド 124
      • 10.3.9 その他ヨーロッパ 125
      • 10.3.10 Mnmの視点(COVID 19のインパクト) 126
    • 10.4 APAC 127
      • 10.4.1 中国 129
        • 10.4.1.1 APACの家畜識別市場において、中国が最大のシェアを占める
      • 10.4.2 インド 130
      • 10.4.3 オーストラリア 131
        • 10.4.3.1 オーストラリアは家畜識別システムを早くから導入している 131
      • 10.4.4 ニュージーランド 132
      • 10.4.5 その他APAC 133
      • 10.4.6 Mnmの視点(Covid-19の影響) 133
    • 10.5 その他地域 134
      • 10.5.1 中東 135
      • 10.5.2 アフリカ 136
      • 10.5.3 トルコ 137
      • 10.5.4 Mnmの視点(Covid-19の影響) 138
  • 11 競合情勢 139

    • 11.1 イントロダクション 139
    • 11.2 市場シェア分析 141
    • 11.3 HISTORICAL REVENUE ANALYSIS, 2016-2020 142
    • 11.4 企業評価4象限分類 142
      • 11.4.1 STAR 142
      • 11.4.2 EMERGING LEADER 142
      • 11.4.3 PERVASIVE 143
      • 11.4.4 PARTICIPANT 143
    • 11.5 スタートアップ/中小企業4象限分類 144
      • 11.5.1 PROGRESSIVE COMPANY 144
      • 11.5.2 RESPONSIVE COMPANY 144
      • 11.5.3 DYNAMIC COMPANY 144
      • 11.5.4 STARTING BLOCK 144
    • 11.6 競合シナリオ 150
      • 11.6.1 製品開発・展開 150
      • 11.6.2 ディール 152
  • 12 企業プロファイル 156

    • 12.1 イントロダクション 156
    • 12.2 主要企業 156
      • 12.2.1 ALLFLEX 156
      • 12.2.2 DATAMARS 160
      • 12.2.3 NEDAP 163
      • 12.2.4 LEADER PRODUCTS 168
      • 12.2.5 CAISLEY INTERNATIONAL GMBH 171
      • 12.2.6 LIVESTOCK IMPROVEMENT CORPORATION 173
      • 12.2.7 KUPSAN TAG COMPANY 176
      • 12.2.8 MS SCHIPPERS 177
      • 12.2.9 SHEARWELL DATA 178
      • 12.2.10 LUOYANG LAIPSON INFORMATION TECHNOLOGY CO., LTD 180
    • 12.3 その他の企業 182
      • 12.3.1 OMNIA TECHNOLOGIES 182
      • 12.3.2 ID TECH SOLUTIONS PRIVATE LIMITED 182
      • 12.3.3 Y-TEX 183
      • 12.3.4 HAUPTNER-HERBERHOLZ 183
      • 12.3.5 ARDES 184
      • 12.3.6 CAINTHUS 184
      • 12.3.7 CERES TAG 185
      • 12.3.8 DALTON TAGS 185
      • 12.3.9 MOOVEMENT 186
      • 12.3.10 AEG ID 186
      • 12.3.11 NATIONAL BAND & TAG COMPANY 187
  • 13 付録 188

    • 13.1 ディスカッションガイド 188
    • 13.2 ナレッジストア : MarketAndMarketのサブスクリプションポータル 190
    • 13.3 可能なカスタマイズ 192
    • 13.4 関連レポート 192
    • 13.5 執筆者の詳細 193
  • 2020 vs. 2026 70

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Description

The global livestock identification market size was valued at USD 1.4 Billion in 2021 and is projected to reach USD 2.3 Billion by 2026. It is expected to grow at a CAGR of 9.8% during the forecast period. Rapid adoption of IoT- and AI-enabled devices for effective management of livestock, elevated demand for automation in livestock farming, and increased focus of farmers on real-time identification and monitoring of livestock are the key driving factors for the livestock identification market. However, high initial investment and less awareness about benefits of livestock identification systems among ranchers and livestock owners are the major factors impeding the market growth. “Hardware offering to account for the largest share during the forecast period.” Hardware offerings accounted for the largest share of the livestock identification market in 2020, and a similar trend is likely to be observed during the forecast period. The largest market size of this segment is attributed to the increasing use of hardware devices such as RFID tags, visual identification tags, readers and applicators, sensors, smart cameras, and GPS trackers to identify and monitor livestock species. The data collected through these devices help farmers to identify animals and improve animal health and welfare. These devices also send alerts and warning signs of animal aggressiveness to farmers. “Cattle species to account for the largest share during the forecast period.” In 2020, cattle held the largest share of the livestock identification market, and a similar trend is expected to be observed during the forecast period. Manual identification and management of large-sized livestock farms is not only costly but also time-consuming. In dairy farms, hardware and software solutions enable automatic identification and data capture, resulting in effective management and control of movements of livestock species. Owing to these advantages, the cattle segment is expected to capture the largest size of the livestock identification market during the forecast period. “APAC to witness highest CAGR in livestock identification market from 2021 to 2026.” Rapid population growth in developing countries of the region is exerting pressure on the suppliers of livestock products to become more efficient and productive, thereby pushing the sales of livestock farming solutions. The rising penetration of IoT-enabled livestock identification systems in animal monitoring applications also boosts the growth of this market. Factors driving the adoption of precision livestock farming in APAC include the rising demand for livestock-related food products, intensifying need to improve yields with limited resources, and the increasing requirement to protect cattle from unexpected climatic changes. Major challenges faced by the farmers in this region are the requirements for high capital, low returns on investment, and lack of knowledge pertaining to the use of livestock identification technologies. In-depth interviews have been conducted with chief executive officers (CEOs), marketing directors, other innovation and technology directors, and executives from various key organizations operating in the livestock identification marketplace. • By Company Type: Tier 1 - 25%, Tier 2 – 40%, and Tier 3 - 35% • By Designation: C-Level Executives - 75% and Managers - 25% • By Region: Americas - 40%, Europe - 23%, APAC - 26%, and RoW - 11% The livestock identification market comprises major players such as Allflex (US), Datamars (Switzerland), Nedap (Netherlands), Leader Products (Australia), CAISLEY International GmbH (Germany), Livestock Improvement Corporation (New Zealand), Kupsan Tag Company (Turkey), MS Schippers (Netherlands), Shearwell Data (UK) and Luoyang Laipson Information Technology CO., Ltd (China). The study includes an in-depth competitive analysis of these key players in the livestock identification market, with their company profiles, recent developments, and key market strategies. Research Coverage The report defines, describes, and forecasts the livestock identification market based on offering, species, device lifecycle, and region. It provides detailed information regarding factors such as drivers, restraints, opportunities, and challenges influencing the growth of the livestock identification market. It also analyzes competitive developments such as product launches, acquisitions, expansions, contracts, partnerships, and developments carried out by the key players to strengthen their position in the market. Key Benefits of Buying the Report The report will help market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall livestock identification market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

Table of Contents

  • 1 INTRODUCTION 28

    • 1.1 STUDY OBJECTIVES 28
    • 1.2 DEFINITION AND SCOPE 29
      • 1.2.1 INCLUSIONS AND EXCLUSIONS 29
    • 1.3 STUDY SCOPE 30
      • 1.3.1 MARKETS COVERED 30
      • 1.3.2 GEOGRAPHIC SCOPE 31
      • 1.3.3 YEARS CONSIDERED 31
    • 1.4 CURRENCY 31
    • 1.5 LIMITATIONS 32
    • 1.6 MARKET STAKEHOLDERS 32
  • 2 RESEARCH METHODOLOGY 33

    • 2.1 RESEARCH DATA 33
      • 2.1.1 SECONDARY AND PRIMARY RESEARCH 35
      • 2.1.2 SECONDARY DATA 36
        • 2.1.2.1 Key data from secondary sources 36
      • 2.1.3 PRIMARY DATA 36
        • 2.1.3.1 Breakdown of primaries 36
        • 2.1.3.2 Key industry insights 37
        • 2.1.3.3 Key opinion leaders 37
    • 2.2 MARKET SIZE ESTIMATION 38
      • 2.2.1 BOTTOM-UP APPROACH 38
      • 2.2.2 TOP-DOWN APPROACH 39
    • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 41
    • 2.4 RESEARCH ASSUMPTIONS 42
  • 3 EXECUTIVE SUMMARY 43

    • 3.1 LIVESTOCK IDENTIFICATION MARKET: PRE- AND POST-COVID-19 SCENARIOS 44
      • 3.1.1 LIVESTOCK IDENTIFICATION MARKET: REALISTIC SCENARIO 44
      • 3.1.2 LIVESTOCK IDENTIFICATION MARKET: OPTIMISTIC SCENARIO 44
      • 3.1.3 LIVESTOCK IDENTIFICATION MARKET: PESSIMISTIC SCENARIO 45
  • 4 PREMIUM INSIGHTS 48

    • 4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR LIVESTOCK IDENTIFICATION MARKET 48
    • 4.2 LIVESTOCK IDENTIFICATION MARKET, BY OFFERING 49
    • 4.3 LIVESTOCK IDENTIFICATION MARKET, BY DEVICE LIFECYCLE 49
    • 4.4 LIVESTOCK IDENTIFICATION MARKET, BY SPECIES 50
    • 4.5 LIVESTOCK IDENTIFICATION MARKET, BY REGION 50
  • 5 MARKET OVERVIEW 51

    • 5.1 INTRODUCTION 51
    • 5.2 MARKET DYNAMICS 51
      • 5.2.1 DRIVERS 52
        • 5.2.1.1 Rapid adoption of IoT- and AI-enabled devices for effective management of livestock 52
        • 5.2.1.2 Elevated demand for automation in livestock farming 53
        • 5.2.1.3 Increased focus of farmers on real-time identification and monitoring of livestock 53
      • 5.2.2 RESTRAINTS 54
        • 5.2.2.1 High initial investment 54
        • 5.2.2.2 Less awareness about benefits of livestock identification systems among ranchers and livestock owners 54
      • 5.2.3 OPPORTUNITIES 55
        • 5.2.3.1 Growing adoption of livestock identification technologies in developing countries 55
        • 5.2.3.2 Increasing number of dairy, poultry, and swine farms globally 56
      • 5.2.4 CHALLENGES 57
        • 5.2.4.1 Stringent government regulations and barriers to trade livestock products 57
    • 5.3 PATENT ANALYSIS 58
    • 5.4 TARIFF AND REGULATORY LANDSCAPE 61
      • 5.4.1 TARIFFS 61
        • 5.4.1.1 Impact of tariffs on livestock identification market 61
      • 5.4.2 REGULATIONS 62
      • 5.4.3 STANDARDS 62
        • 5.4.3.1 International Organization for Standardization (ISO) 62
        • 5.4.3.2 International Electronics Symposium (IES) 62
    • 5.5 CASE STUDY ANALYSIS 63
    • 5.6 ECOSYSTEM 65
    • 5.7 VALUE CHAIN ANALYSIS 66
    • 5.8 TECHNOLOGY ANALYSIS 67
      • 5.8.1 AI AND BLOCKCHAIN IN LIVESTOCK IDENTIFICATION 67
      • 5.8.2 TECHNOLOGY ADOPTION IN DAIRY FARMS 67
    • 5.9 PORTER’S FIVE FORCE ANALYSIS 68
      • 5.9.1 DEGREE OF COMPETITION 69
      • 5.9.2 THREAT OF SUBSTITUTES 70
      • 5.9.3 BARGAINING POWER OF BUYERS 70
      • 5.9.4 BARGAINING POWER OF SUPPLIERS 70
      • 5.9.5 THREAT OF NEW ENTRANTS 70
    • 5.10 PRICING ANALYSIS 70
  • 6 TECHNOLOGIES USED IN LIVESTOCK IDENTIFICATION SOLUTIONS 72

    • 6.1 INTRODUCTION 72
    • 6.2 LOW-FREQUENCY RFID 72
      • 6.2.1 LOW-FREQUENCY RFID TAGS ARE INCREASINGLY ADOPTED IN ANIMAL TRACKING, TICKETING, AND ACCESS CONTROL APPLICATIONS 72
    • 6.3 HIGH-FREQUENCY RFID 72
      • 6.3.1 HIGH-FREQUENCY RFID TAGS, INCLUDING ANIMAL TAGS, ARE USED IN APPLICATIONS WITH SMALL READ RANGE 72
    • 6.4 ULTRA-HIGH-FREQUENCY (UHF) RFID 73
      • 6.4.1 UHF PASSIVE TAGS ARE USED IN ANIMAL TRACKING, ANIMAL COUNTING, AND FARM MANAGEMENT APPLICATIONS THAT REQUIRE READ RANGE OF MORE THAN ONE METER 73
    • 6.5 ZIGBEE 73
      • 6.5.1 ZIGBEE IS EXPECTED TO BE USED IN LIVESTOCK IDENTIFICATION APPLICATIONS SUCH AS REAL-TIME TRACKING AND MONITORING IN NEAR FUTURE 73
    • 6.6 4G/5G 73
      • 6.6.1 5G WIRELESS TECHNOLOGY DELIVERS HIGHER MULTI GBPS PEAK DATA SPEEDS, ULTRA-LOW LATENCY, MORE RELIABILITY, MASSIVE NETWORK CAPACITY, INCREASED AVAILABILITY, AND UNIFORM USER EXPERIENCE 73
    • 6.7 LORA 74
      • 6.7.1 LORA IS LONG-RANGE, LOW-POWER WIRELESS PLATFORM USED FOR BUILDING IOT NETWORKS GLOBALLY 74
    • 6.8 OTHERS 74
  • 7 LIVESTOCK IDENTIFICATION MARKET, BY OFFERING 75

    • 7.1 INTRODUCTION 76
    • 7.2 HARDWARE 77
      • 7.2.1 ELECTRONIC IDENTIFICATION TAGS 79
        • 7.2.1.1 GPS tags 79
          • 7.2.1.1.1 Surging need to track location of remote animals in real time drives demand for GPS tags 79
        • 7.2.1.2 RFID tags 80
          • 7.2.1.2.1 Rising adoption of low-frequency RFID tags for identification and tracking of livestock to propel market growth 80
          • 7.2.1.2.2 Ear tags 81
            • 7.2.1.2.2.1 Ear tags help verify ownership, monitor health and biosecurity control, and maintain medical history for each animal 81
          • 7.2.1.2.3 Leg tags 81
            • 7.2.1.2.3.1 RFID leg tags are affixed to livestock animals to provide accurate, real-time information to livestock farmers 81
          • 7.2.1.2.4 Back tags 82
            • 7.2.1.2.4.1 Back tags are primarily used for animals such as sheep, goats, donkeys, and cattle to read them from longer distance 82
      • 7.2.2 VISUAL IDENTIFICATION TAGS 82
        • 7.2.2.1 Visual identification tags help farmers visually identify and track their herds 82
        • 7.2.2.2 One-piece tags 82
          • 7.2.2.2.1 One-piece tags are easy to apply and read 82
        • 7.2.2.3 Two-piece tags 83
          • 7.2.2.3.1 Two-piece visual identification tags are improved options for identification and management of livestock 83
        • 7.2.2.4 Brisket tags 83
          • 7.2.2.4.1 Brisket tags need no adjustment or replacement for longer duration 83
      • 7.2.3 READERS & APPLICATORS 83
        • 7.2.3.1 Readers help analyze data collected by tags to improve livestock identification and management capabilities 83
      • 7.2.4 OTHER HARDWARE OFFERINGS 83
        • 7.2.4.1 Sensors 84
          • 7.2.4.1.1 Sensors are gaining popularity among small livestock farms 84
        • 7.2.4.2 Boluses 85
          • 7.2.4.2.1 Bolus is secure alternative method of electronic livestock identification 85
      • 7.2.5 OTHERS 85
        • 7.2.5.1 Smart camera-based facial recognition systems 85
          • 7.2.5.1.1 Smart camera-based facial recognition systems are increasingly used by ranchers to monitor livestock remotely 85
        • 7.2.5.2 Tissue sampling solutions 86
          • 7.2.5.2.1 Ease of collecting tissue samples at higher speed has led to surged demand for these devices 86
    • 7.3 SOFTWARE 86
      • 7.3.1 ON-CLOUD 87
        • 7.3.1.1 Cloud-based software solutions are flexible, scalable, and affordable 87
      • 7.3.2 LIVESTOCK RECORD-KEEPING SOFTWARE/ON-PREMISES 87
        • 7.3.2.1 Livestock record-keeping software is beneficial for organizations migrating from one system to another 87
    • 7.4 SERVICES 88
      • 7.4.1 DATA ANALYTICS 88
        • 7.4.1.1 Data analytics plays crucial role in analyzing information gathered on animal health 88
      • 7.4.2 MAINTENANCE AND SUPPORT SERVICES 89
        • 7.4.2.1 Rising number of new installations of livestock identification systems by farmers and ranchers to stimulate demand for maintenance and support services in coming years 89
  • 8 LIVESTOCK IDENTIFICATION MARKET, BY DEVICE LIFECYCLE 90

    • 8.1 INTRODUCTION 91
    • 8.2 SHORT PERIOD 92
      • 8.2.1 PRODUCTS WITH SHORT LIFECYCLE REQUIRE HIGH LEVEL OF MARKETING AND INVESTMENT 92
    • 8.3 LONG PERIOD 92
      • 8.3.1 EQUIPMENT WITH LONG LIFECYCLE ARE PRIMARILY USED FOR CATTLE, HORSES, AND WILDLIFE ANIMALS 92
  • 9 LIVESTOCK IDENTIFICATION MARKET, BY SPECIES 93

    • 9.1 INTRODUCTION 94
    • 9.2 CATTLE 95
      • 9.2.1 GROWING ADOPTION RATE OF LIVESTOCK IDENTIFICATION EQUIPMENT IN CATTLE FARMS TO FOSTER MARKET GROWTH 95
    • 9.3 POULTRY 97
      • 9.3.1 RISING NEED TO MAINTAIN HEALTH RECORDS OF POULTRY BIRDS PROPELS DEMAND FOR LIVESTOCK IDENTIFICATION SOLUTIONS IN POULTRY FARMS 97
    • 9.4 SWINE 98
      • 9.4.1 SURGING DEPLOYMENT OF IDENTIFICATION, TRACKING, AND MONITORING SYSTEMS ACROSS SWINE FARMS IN DEVELOPED AND DEVELOPING COUNTRIES TO STIMULATE MARKET GROWTH 98
    • 9.5 OTHERS 99
  • 10 GEOGRAPHIC ANALYSIS 100

    • 10.1 INTRODUCTION 101
    • 10.2 AMERICAS 102
      • 10.2.1 MNM VIEWPOINT (IMPACT OF COVID-19) 103
      • 10.2.2 NORTH AMERICA 104
        • 10.2.2.1 US 106
          • 10.2.2.1.1 Us to be largest market for livestock identification systems in North America in coming years 106
        • 10.2.2.2 Canada 107
          • 10.2.2.2.1 Booming dairy industry generates substantial demand for livestock farming solutions in Canada 107
        • 10.2.2.3 Mexico 108
          • 10.2.2.3.1 Thriving cattle industry in Mexico drives demand for livestock identification systems 108
      • 10.2.3 SOUTH AMERICA 109
        • 10.2.3.1 Brazil 111
          • 10.2.3.1.1 Rapid adoption of livestock farming technology by commercial farmers in Brazil to create growth opportunities for market 111
        • 10.2.3.2 Argentina 112
          • 10.2.3.2.1 Large cattle population to accelerate requirement for livestock identification, monitoring, and tracking devices 112
        • 10.2.3.3 Uruguay 113
          • 10.2.3.3.1 Robust presence of large-scale farms and increased use of advance technology to manage these farms to boost demand for livestock identification systems in Uruguay 113
        • 10.2.3.4 Chile 113
          • 10.2.3.4.1 Prominent presence of pig and poultry farms in Chile to fuel demand for livestock identification solutions 113
        • 10.2.3.5 Rest of South America 114
    • 10.3 EUROPE 116
      • 10.3.1 UK 118
        • 10.3.1.1 Established milk and meat industries stimulate deployment of livestock identification technologies in UK 118
      • 10.3.2 GERMANY 119
        • 10.3.2.1 Germany held largest share of European livestock identification market in 2020 119
      • 10.3.3 FRANCE 120
        • 10.3.3.1 Growing number of livestock farms to drive livestock identification market growth in France 120
      • 10.3.4 DENMARK 121
        • 10.3.4.1 Government initiatives pertaining to tagging livestock animals, along with monitoring their health, would fuel market growth in Denmark 121
      • 10.3.5 NORWAY 122
        • 10.3.5.1 Intensive meat and dairy production in Norway boosts demand for livestock identification systems 122
      • 10.3.6 NETHERLANDS 122
        • 10.3.6.1 Increasing herd size and rising labor costs leading to elevated demand for livestock identification solutions in Netherlands 122
      • 10.3.7 SPAIN 123
        • 10.3.7.1 High adoption of livestock identification technology in Spain owing to government investments in agriculture and forestry would lead to market growth 123
      • 10.3.8 POLAND 124
        • 10.3.8.1 Rising deployment of livestock identification sensors and automated machinery in Poland to boost market growth 124
      • 10.3.9 REST OF EUROPE 125
      • 10.3.10 MNM VIEWPOINT (IMPACT OF COVID 19) 126
    • 10.4 APAC 127
      • 10.4.1 CHINA 129
        • 10.4.1.1 China held largest share of livestock identification market in APAC
      • 10.4.2 INDIA 130
        • 10.4.2.1 India to be fastest-growing market for livestock identification systems during forecast period 130
      • 10.4.3 AUSTRALIA 131
        • 10.4.3.1 Australia is among early adopters of livestock identification systems 131
      • 10.4.4 NEW ZEALAND 132
        • 10.4.4.1 High labor cost in New Zealand drives demand for livestock identification systems in New Zealand 132
      • 10.4.5 REST OF APAC 133
      • 10.4.6 MNM VIEWPOINT (IMPACT OF COVID-19) 133
    • 10.5 ROW 134
      • 10.5.1 MIDDLE EAST 135
        • 10.5.1.1 Middle Eastern livestock identification market is still in growth phase and presents lucrative opportunities 135
      • 10.5.2 AFRICA 136
        • 10.5.2.1 Investment toward development of new commercial farming enterprises to favor livestock identification market in Africa 136
      • 10.5.3 TURKEY 137
        • 10.5.3.1 Medium-sized livestock farms in Turkey facilitate use of RFID tags, sensors, GPS trackers, and smart cameras 137
      • 10.5.4 MNM VIEWPOINT (IMPACT OF COVID-19) 138
  • 11 COMPETITIVE LANDSCAPE 139

    • 11.1 INTRODUCTION 139
    • 11.2 MARKET SHARE ANALYSIS 141
    • 11.3 HISTORICAL REVENUE ANALYSIS, 2016-2020 142
    • 11.4 COMPANY EVALUATION QUADRANT 142
      • 11.4.1 STAR 142
      • 11.4.2 EMERGING LEADER 142
      • 11.4.3 PERVASIVE 143
      • 11.4.4 PARTICIPANT 143
    • 11.5 STARTUP/SME EVALUATION QUADRANT 144
      • 11.5.1 PROGRESSIVE COMPANY 144
      • 11.5.2 RESPONSIVE COMPANY 144
      • 11.5.3 DYNAMIC COMPANY 144
      • 11.5.4 STARTING BLOCK 144
    • 11.6 COMPETITIVE SCENARIO 150
      • 11.6.1 PRODUCT LAUNCHES AND DEVELOPMENTS 150
      • 11.6.2 DEALS 152
  • 12 COMPANY PROFILES 156

    • 12.1 INTRODUCTION 156
    • 12.2 KEY PLAYERS 156
      • 12.2.1 ALLFLEX 156
      • 12.2.2 DATAMARS 160
      • 12.2.3 NEDAP 163
      • 12.2.4 LEADER PRODUCTS 168
      • 12.2.5 CAISLEY INTERNATIONAL GMBH 171
      • 12.2.6 LIVESTOCK IMPROVEMENT CORPORATION 173
      • 12.2.7 KUPSAN TAG COMPANY 176
      • 12.2.8 MS SCHIPPERS 177
      • 12.2.9 SHEARWELL DATA 178
      • 12.2.10 LUOYANG LAIPSON INFORMATION TECHNOLOGY CO., LTD 180
    • 12.3 OTHER KEY PLAYERS 182
      • 12.3.1 OMNIA TECHNOLOGIES 182
      • 12.3.2 ID TECH SOLUTIONS PRIVATE LIMITED 182
      • 12.3.3 Y-TEX 183
      • 12.3.4 HAUPTNER-HERBERHOLZ 183
      • 12.3.5 ARDES 184
      • 12.3.6 CAINTHUS 184
      • 12.3.7 CERES TAG 185
      • 12.3.8 DALTON TAGS 185
      • 12.3.9 MOOVEMENT 186
      • 12.3.10 AEG ID 186
      • 12.3.11 NATIONAL BAND & TAG COMPANY 187
  • 13 APPENDIX 188

    • 13.1 DISCUSSION GUIDE 188
    • 13.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 190
    • 13.3 AVAILABLE CUSTOMIZATION 192
    • 13.4 RELATED REPORTS 192
    • 13.5 AUTHOR DETAILS 193
  • 2020 VS. 2026 70

TABLE 1 LIVESTOCK IDENTIFICATION MARKET: KEY PLAYERS INTERVIEWED TABLE 2 ASSUMPTION FOR RESEARCH STUDY TABLE 3 TECHNOLOGY-WISE GLOBAL ADOPTION RATE TABLE 4 LIVESTOCK IDENTIFICATION SYSTEMS BY ANIMAL BIOTECH LLC TABLE 5 LIVESTOCK IDENTIFICATION DEVICES BY ALLFLEX INTERNATIONAL LIMITED TABLE 6 PATENT ANALYSIS FOR LIVESTOCK EAR TAGS BY ALLFLEX INTERNATIONAL LIMITED TABLE 7 NUMBER OF PATENTS REGISTERED IN LIVESTOCK IDENTIFICATION MARKET IN LAST 10 YEARS TABLE 8 MFN TARIFFS FOR LIVE ANIMALS EXPORTED BY FRANCE TABLE 9 MFN TARIFFS FOR LIVE ANIMALS IMPORTED BY US TABLE 10 LARGE-SCALE DAIRY OPERATION BENEFITS FROM HERD MONITORING TECHNOLOGY TABLE 11 BUILDING COMPETITIVE AND INCLUSIVE LIVESTOCK SECTOR IN NICARAGUA TABLE 12 LIVESTOCK IDENTIFICATION FOR ECONOMIES IN MILK AND BEEF PRODUCTION TABLE 13 LIVESTOCK IDENTIFICATION FOR TRACKING HEALTH DATA TABLE 14 LIVESTOCK IDENTIFICATION FOR REDUCING OPERATIONAL COSTS TABLE 15 CAINTHUS LAUNCHES DAIRY FEEDING MONITORING TECHNOLOGY TABLE 16 LIVESTOCK IDENTIFICATION MARKET: ECOSYSTEM TABLE 17 MAJOR TECHNOLOGY TRENDS IN DAIRY FARMS TABLE 18 MAJOR TECHNOLOGY TRENDS IN POULTRY FARMS TABLE 19 LIVESTOCK IDENTIFICATION MARKET: PORTER’S FIVE FORCES ANALYSIS - 2020 TABLE 20 RFID TAGS AND READERS: AVERAGE SELLING PRICE ANALYSIS TABLE 21 LIVESTOCK IDENTIFICATION MARKET, BY OFFERING TABLE 22 LIVESTOCK IDENTIFICATION MARKET, BY OFFERING TABLE 23 LIVESTOCK IDENTIFICATION MARKET FOR HARDWARE, BY TYPE TABLE 24 LIVESTOCK IDENTIFICATION MARKET FOR HARDWARE, BY TYPE TABLE 25 LIVESTOCK IDENTIFICATION MARKET FOR ELECTRONIC IDENTIFICATION TAGS, BY TYPE, 2017-2020 (USD MILLION) TABLE 26 LIVESTOCK IDENTIFICATION MARKET FOR ELECTRONIC IDENTIFICATION TAGS, BY TYPE, 2021-2026 (USD MILLION) TABLE 27 LIVESTOCK IDENTIFICATION MARKET FOR RFID TAGS TABLE 28 LIVESTOCK IDENTIFICATION MARKET FOR RFID TAGS TABLE 29 LIVESTOCK IDENTIFICATION MARKET FOR RFID TAGS, BY TYPE TABLE 30 LIVESTOCK IDENTIFICATION MARKET FOR RFID TAGS, BY TYPE TABLE 31 LIVESTOCK IDENTIFICATION MARKET FOR VISUAL IDENTIFICATION TAGS TABLE 32 LIVESTOCK IDENTIFICATION MARKET FOR VISUAL IDENTIFICATION TAGS TABLE 33 LIVESTOCK IDENTIFICATION MARKET FOR OTHER HARDWARE OFFERINGS TABLE 34 LIVESTOCK IDENTIFICATION MARKET FOR OTHER HARDWARE OFFERINGS TABLE 35 LIVESTOCK IDENTIFICATION MARKET FOR SOFTWARE, BY TYPE TABLE 36 LIVESTOCK IDENTIFICATION MARKET FOR SOFTWARE, BY TYPE TABLE 37 LIVESTOCK IDENTIFICATION MARKET FOR SERVICES, BY TYPE TABLE 38 LIVESTOCK IDENTIFICATION MARKET FOR SERVICES, BY TYPE TABLE 39 LIVESTOCK IDENTIFICATION MARKET FOR HARDWARE, BY DEVICE LIFECYCLE, 2017-2020 (USD MILLION) TABLE 40 LIVESTOCK IDENTIFICATION MARKET FOR HARDWARE, BY DEVICE LIFECYCLE, 2021-2026 (USD MILLION) TABLE 41 LIVESTOCK IDENTIFICATION MARKET, BY SPECIES TABLE 42 LIVESTOCK IDENTIFICATION MARKET, BY SPECIES TABLE 43 LIVESTOCK IDENTIFICATION MARKET FOR CATTLE, BY OFFERING TABLE 44 LIVESTOCK IDENTIFICATION MARKET FOR CATTLE, BY OFFERING TABLE 45 LIVESTOCK IDENTIFICATION MARKET FOR POULTRY, BY OFFERING TABLE 46 LIVESTOCK IDENTIFICATION MARKET FOR POULTRY, BY OFFERING TABLE 47 LIVESTOCK IDENTIFICATION MARKET FOR SWINE, BY OFFERING TABLE 48 LIVESTOCK IDENTIFICATION MARKET FOR SWINE, BY OFFERING TABLE 49 LIVESTOCK IDENTIFICATION MARKET FOR OTHER SPECIES, BY OFFERING, 2017-2020 (USD MILLION) TABLE 50 LIVESTOCK IDENTIFICATION MARKET FOR OTHER SPECIES, BY OFFERING, 2021-2026 (USD MILLION) TABLE 51 LIVESTOCK IDENTIFICATION MARKET, BY REGION TABLE 52 LIVESTOCK IDENTIFICATION MARKET, BY REGION TABLE 53 LIVESTOCK IDENTIFICATION MARKET IN AMERICAS, BY REGION TABLE 54 LIVESTOCK IDENTIFICATION MARKET IN AMERICAS, BY REGION TABLE 55 LIVESTOCK IDENTIFICATION MARKET IN AMERICAS, BY OFFERING TABLE 56 LIVESTOCK IDENTIFICATION MARKET IN AMERICAS, BY OFFERING TABLE 57 LIVESTOCK IDENTIFICATION MARKET IN NORTH AMERICA, BY COUNTRY, 2017-2020 (USD MILLION) TABLE 58 LIVESTOCK IDENTIFICATION MARKET IN NORTH AMERICA, BY COUNTRY, 2021-2026 (USD MILLION) TABLE 59 LIVESTOCK IDENTIFICATION MARKET IN NORTH AMERICA, BY OFFERING, 2017-2020 (USD MILLION) TABLE 60 LIVESTOCK IDENTIFICATION MARKET IN NORTH AMERICA, BY OFFERING, 2021-2026 (USD MILLION) TABLE 61 LIVESTOCK IDENTIFICATION MARKET IN US, BY OFFERING TABLE 62 LIVESTOCK IDENTIFICATION MARKET IN US, BY OFFERING TABLE 63 LIVESTOCK IDENTIFICATION MARKET IN CANADA, BY OFFERING TABLE 64 LIVESTOCK IDENTIFICATION MARKET IN CANADA, BY OFFERING TABLE 65 LIVESTOCK IDENTIFICATION MARKET IN MEXICO, BY OFFERING TABLE 66 LIVESTOCK IDENTIFICATION MARKET IN MEXICO, BY OFFERING TABLE 67 LIVESTOCK IDENTIFICATION MARKET IN SOUTH AMERICA, BY COUNTRY, 2017-2020 (USD MILLION) TABLE 68 LIVESTOCK IDENTIFICATION MARKET IN SOUTH AMERICA, BY COUNTRY, 2021-2026 (USD MILLION) TABLE 69 LIVESTOCK IDENTIFICATION MARKET IN SOUTH AMERICA, BY OFFERING, 2017-2020 (USD MILLION) TABLE 70 LIVESTOCK IDENTIFICATION MARKET IN SOUTH AMERICA, BY OFFERING, 2021-2026 (USD MILLION) TABLE 71 LIVESTOCK IDENTIFICATION MARKET IN BRAZIL, BY OFFERING TABLE 72 LIVESTOCK IDENTIFICATION MARKET IN BRAZIL, BY OFFERING TABLE 73 LIVESTOCK IDENTIFICATION MARKET IN ARGENTINA, BY OFFERING TABLE 74 LIVESTOCK IDENTIFICATION MARKET IN ARGENTINA, BY OFFERING TABLE 75 LIVESTOCK IDENTIFICATION MARKET IN URUGUAY, BY OFFERING TABLE 76 LIVESTOCK IDENTIFICATION MARKET IN URUGUAY, BY OFFERING TABLE 77 LIVESTOCK IDENTIFICATION MARKET IN CHILE, BY OFFERING TABLE 78 LIVESTOCK IDENTIFICATION MARKET IN CHILE, BY OFFERING TABLE 79 LIVESTOCK IDENTIFICATION MARKET IN REST OF SOUTH AMERICA TABLE 80 LIVESTOCK IDENTIFICATION MARKET IN REST OF SOUTH AMERICA TABLE 81 LIVESTOCK IDENTIFICATION MARKET IN EUROPE, BY COUNTRY TABLE 82 LIVESTOCK IDENTIFICATION MARKET IN EUROPE, BY COUNTRY TABLE 83 LIVESTOCK IDENTIFICATION MARKET IN EUROPE, BY OFFERING TABLE 84 LIVESTOCK IDENTIFICATION MARKET IN EUROPE, BY OFFERING TABLE 85 LIVESTOCK IDENTIFICATION MARKET IN UK, BY OFFERING TABLE 86 LIVESTOCK IDENTIFICATION MARKET IN UK, BY OFFERING TABLE 87 LIVESTOCK IDENTIFICATION MARKET IN GERMANY, BY OFFERING TABLE 88 LIVESTOCK IDENTIFICATION MARKET IN GERMANY, BY OFFERING TABLE 89 LIVESTOCK IDENTIFICATION MARKET IN FRANCE, BY OFFERING TABLE 90 LIVESTOCK IDENTIFICATION MARKET IN FRANCE, BY OFFERING TABLE 91 LIVESTOCK IDENTIFICATION MARKET IN DENMARK, BY OFFERING TABLE 92 LIVESTOCK IDENTIFICATION MARKET IN DENMARK, BY OFFERING TABLE 93 LIVESTOCK IDENTIFICATION MARKET IN NORWAY, BY OFFERING TABLE 94 LIVESTOCK IDENTIFICATION MARKET IN NORWAY, BY OFFERING TABLE 95 LIVESTOCK IDENTIFICATION MARKET IN NETHERLANDS, BY OFFERING, 2017-2020 (USD MILLION) TABLE 96 LIVESTOCK IDENTIFICATION MARKET IN NETHERLANDS, BY OFFERING, 2021-2026 (USD MILLION) TABLE 97 LIVESTOCK IDENTIFICATION MARKET IN SPAIN, BY OFFERING TABLE 98 LIVESTOCK IDENTIFICATION MARKET IN SPAIN, BY OFFERING TABLE 99 LIVESTOCK IDENTIFICATION MARKET IN POLAND, BY OFFERING TABLE 100 LIVESTOCK IDENTIFICATION MARKET IN POLAND, BY OFFERING TABLE 101 LIVESTOCK IDENTIFICATION MARKET IN REST OF EUROPE, BY OFFERING, 2017-2020 (USD MILLION) TABLE 102 LIVESTOCK IDENTIFICATION MARKET IN REST OF EUROPE, BY OFFERING, 2021-2026 (USD MILLION) TABLE 103 LIVESTOCK IDENTIFICATION MARKET IN APAC, BY COUNTRY TABLE 104 LIVESTOCK IDENTIFICATION MARKET IN APAC, BY COUNTRY TABLE 105 LIVESTOCK IDENTIFICATION MARKET IN APAC, BY OFFERING TABLE 106 LIVESTOCK IDENTIFICATION MARKET IN APAC, BY OFFERING TABLE 107 LIVESTOCK IDENTIFICATION MARKET IN CHINA, BY OFFERING TABLE 108 LIVESTOCK IDENTIFICATION MARKET IN CHINA, BY OFFERING TABLE 109 LIVESTOCK IDENTIFICATION MARKET IN INDIA, BY OFFERING TABLE 110 LIVESTOCK IDENTIFICATION MARKET IN INDIA, BY OFFERING TABLE 111 LIVESTOCK IDENTIFICATION MARKET IN AUSTRALIA, BY OFFERING TABLE 112 LIVESTOCK IDENTIFICATION MARKET IN AUSTRALIA, BY OFFERING TABLE 113 LIVESTOCK IDENTIFICATION MARKET IN NEW ZEALAND, BY OFFERING TABLE 114 LIVESTOCK IDENTIFICATION MARKET IN NEW ZEALAND, BY OFFERING TABLE 115 LIVESTOCK IDENTIFICATION MARKET IN REST OF APAC, BY OFFERING TABLE 116 LIVESTOCK IDENTIFICATION MARKET IN REST OF APAC, BY OFFERING TABLE 117 LIVESTOCK IDENTIFICATION MARKET IN ROW, BY GEOGRAPHY TABLE 118 LIVESTOCK IDENTIFICATION MARKET IN ROW, BY GEOGRAPHY TABLE 119 LIVESTOCK IDENTIFICATION MARKET IN ROW, BY OFFERING TABLE 120 LIVESTOCK IDENTIFICATION MARKET IN ROW, BY OFFERING TABLE 121 LIVESTOCK IDENTIFICATION MARKET IN MIDDLE EAST, BY OFFERING TABLE 122 LIVESTOCK IDENTIFICATION MARKET IN MIDDLE EAST, BY OFFERING TABLE 123 LIVESTOCK IDENTIFICATION MARKET IN AFRICA, BY OFFERING TABLE 124 LIVESTOCK IDENTIFICATION MARKET IN AFRICA, BY OFFERING TABLE 125 LIVESTOCK IDENTIFICATION MARKET IN TURKEY, BY OFFERING TABLE 126 LIVESTOCK IDENTIFICATION MARKET IN TURKEY, BY OFFERING TABLE 127 MARKET SHARE ANALYSIS OF KEY COMPANIES IN LIVESTOCK IDENTIFICATION HARDWARE MARKET, 2020 TABLE 128 COMPANY OFFERING FOOTPRINT TABLE 129 COMPANY SPECIES FOOTPRINT TABLE 130 COMPANY REGION FOOTPRINT TABLE 131 COMPANY FOOTPRINT TABLE 132 LIVESTOCK IDENTIFICATION MARKET, PRODUCT LAUNCHES AND DEVELOPMENTS, 2020-2021 TABLE 133 LIVESTOCK IDENTIFICATION MARKET, DEALS (PARTNERSHIPS, AGREEMENTS, COLLABORATIONS, EXPANSIONS, AND MERGERS & ACQUISITIONS) TABLE 134 ALLFLEX: COMPANY OVERVIEW TABLE 135 ALLFLEX: PRODUCT LAUNCHES TABLE 136 ALLFLEX: DEALS TABLE 137 ALLFLEX: OTHERS TABLE 138 DATAMARS TABLE 139 DATAMARS: DEALS TABLE 140 NEDAP: COMPANY OVERVIEW TABLE 141 NEDAP: PRODUCT LAUNCHES TABLE 142 NEDAP: DEALS TABLE 143 LEADER PRODUCTS: COMPANY OVERVIEW TABLE 144 LEADER PRODUCTS: DEALS TABLE 145 CAISLEY INTERNATIONAL GMBH: COMPANY OVERVIEW TABLE 146 LIVESTOCK IMPROVEMENT CORPORATION: COMPANY OVERVIEW TABLE 147 LIVESTOCK IMPROVEMENT CORPORATION: DEALS TABLE 148 KUPSAN TAG COMPANY: COMPANY OVERVIEW TABLE 149 MS SCHIPPERS: COMPANY OVERVIEW TABLE 150 SHEARWELL DATA: COMPANY OVERVIEW TABLE 151 SHEARWELL DATA: DEALS TABLE 152 LUOYANG LAIPSON INFORMATION TECHNOLOGY CO., LTD: COMPANY OVERVIEW TABLE 153 LUOYANG LAIPSON INFORMATION TECHNOLOGY CO., LTD: PRODUCT LAUNCHES

FIGURE 1 LIVESTOCK IDENTIFICATION MARKET SEGMENTATION FIGURE 2 LIVESTOCK IDENTIFICATION MARKET: RESEARCH DESIGN FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH FIGURE 4 DEMAND-SIDE ANALYSIS: LIVESTOCK IDENTIFICATION MARKET FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH FIGURE 6 SUPPLY-SIDE ANALYSIS: LIVESTOCK IDENTIFICATION MARKET (1/2) FIGURE 7 SUPPLY-SIDE ANALYSIS: LIVESTOCK IDENTIFICATION MARKET (2/2) FIGURE 8 DATA TRIANGULATION FIGURE 9 LIVESTOCK IDENTIFICATION MARKET GROWTH, 2017-2026 (USD MILLION) FIGURE 10 LIVESTOCK IDENTIFICATION MARKET: OPTIMISTIC, REALISTIC, AND PESSIMISTIC SCENARIO ANALYSES, 2020-2026 FIGURE 11 HARDWARE SEGMENT TO ACCOUNT FOR LARGEST SIZE OF LIVESTOCK IDENTIFICATION MARKET, BY OFFERING, FROM 2021 TO 2026 FIGURE 12 CATTLE SEGMENT TO CAPTURE LARGEST SHARE OF LIVESTOCK IDENTIFICATION MARKET, BY SPECIES, IN 2026 FIGURE 13 EUROPE TO ACCOUNT FOR LARGEST SIZE OF LIVESTOCK IDENTIFICATION MARKET IN 2026 FIGURE 14 LIVESTOCK IDENTIFICATION MARKET IN APAC TO GROW AT HIGHEST CAGR FROM 2021 TO 2026 FIGURE 15 HARDWARE OFFERINGS TO HOLD LARGEST SIZE OF LIVESTOCK IDENTIFICATION MARKET FROM 2021 TO 2026 FIGURE 16 LONG PERIOD SEGMENT TO HOLD LARGER SIZE OF LIVESTOCK IDENTIFICATION MARKET IN 2026 FIGURE 17 CATTLE SEGMENT TO ACCOUNT FOR LARGEST SIZE OF LIVESTOCK IDENTIFICATION MARKET FROM 2021 TO 2026 FIGURE 18 APAC WOULD BE FASTEST-GROWING MARKET FOR LIVESTOCK IDENTIFICATION SOLUTIONS FROM 2021 TO 2026 FIGURE 19 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES FIGURE 20 CATTLE INVENTORY OF MAJOR COUNTRIES IN 2019 (MILLION UNITS) FIGURE 21 TOP 10 COMPANIES WITH HIGHEST NO. OF PATENT APPLICATIONS IN LAST 10 YEARS FIGURE 22 NO. OF PATENTS GRANTED PER YEAR, 2011-2020 FIGURE 23 VALUE CHAIN ANALYSIS: LIVESTOCK IDENTIFICATION MARKET FIGURE 24 PORTER’S FIVE FORCES ANALYSIS FIGURE 25 INDICATIVE AVERAGE PRICES OF RFID TAGS, 2017-2026 FIGURE 26 LIVESTOCK IDENTIFICATION SOLUTIONS, BY TECHNOLOGY FIGURE 27 LIVESTOCK IDENTIFICATION MARKET, BY OFFERING FIGURE 28 SOFTWARE SEGMENT TO EXHIBIT HIGHEST CAGR IN LIVESTOCK IDENTIFICATION MARKET FROM 2021 TO 2026 FIGURE 29 LIVESTOCK IDENTIFICATION MARKET FOR TISSUE SAMPLING SOLUTIONS, 2020 AND 2026 (USD MILLION) FIGURE 30 LIVESTOCK IDENTIFICATION MARKET FOR HARDWARE, BY DEVICE LIFECYCLE FIGURE 31 LONG PERIOD SEGMENT TO DOMINATE LIVESTOCK IDENTIFICATION MARKET, BY DEVICE LIFECYCLE, THROUGHOUT FORECAST PERIOD FIGURE 32 LIVESTOCK IDENTIFICATION MARKET, BY SPECIES FIGURE 33 CATTLE SEGMENT TO CAPTURE LARGEST SIZE OF LIVESTOCK IDENTIFICATION MARKET IN 2026 FIGURE 34 APAC TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD FIGURE 35 SNAPSHOT: LIVESTOCK IDENTIFICATION MARKET IN NORTH AMERICA FIGURE 36 SNAPSHOT: LIVESTOCK IDENTIFICATION MARKET IN EUROPE FIGURE 37 SNAPSHOT: LIVESTOCK IDENTIFICATION MARKET IN APAC FIGURE 38 COMPANIES ADOPTED EXPANSIONS, PARTNERSHIPS, COLLABORATIONS, AND MERGERS & ACQUISITIONS AS KEY GROWTH STRATEGIES FROM FIGURE 39 HISTORICAL REVENUE ANALYSIS OF MAJOR COMPANIES IN LIVESTOCK IDENTIFICATION MARKET, 2016-2020 (USD MILLION) FIGURE 40 LIVESTOCK IDENTIFICATION MARKET: COMPANY EVALUATION QUADRANT, 2020 FIGURE 41 LIVESTOCK IDENTIFICATION MARKET: STARTUP/SME EVALUATION QUADRANT, 2020 FIGURE 42 NEDAP: COMPANY SNAPSHOT FIGURE 43 LIVESTOCK IMPROVEMENT CORPORATION: COMPANY SNAPSHOT

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