コンテンツ自動認識市場：コンポーネント、コンテンツ、テクノロジー、アプリケーション（放送モニタリング、ADターゲティング＆プライシング）、デプロイメントモード、組織サイズ、業種、地域別 - 2027年までの世界予測

Automatic Content Recognition Market by Component, Content, Technology, Applications (Broadcast Monitoring and AD Targeting & Pricing), Deployment Mode, Organization Size, Vertical and Region - Global Forecast to 2027

コンテンツ自動認識市場は、2022年の23億米ドルから2027年には49億米ドルへと、予測期間中に16.8%のCAGRで成長すると予測されます。コンテンツ自動認識市場は、新技術の進化やデジタル施策の導入・拡大により、急... もっと見る

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MarketsandMarkets マーケッツアンドマーケッツ	2022年5月10日	US$4,950 シングルユーザライセンスライセンス・価格情報注文方法はこちら	316	361	英語

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コンテンツ自動認識市場は、2022年の23億米ドルから2027年には49億米ドルへと、予測期間中に16.8%のCAGRで成長すると予測されます。コンテンツ自動認識市場は、新技術の進化やデジタル施策の導入・拡大により、急速な成長が見込まれています。
インターネットに接続されたスマートデバイスの画面上のピクセルを解析し、人々がどのような情報や広告を見ているのかを判断するコンテンツ自動認識技術。広告の真のリーチを明らかにすることで、テレビ広告をブラックボックス化させない可能性を秘めているが、顧客のオプトインが必要なため、導入が遅れている。
スマートフォンやスマートテレビへのコンテンツ自動認識技術の搭載が進むにつれ、コンテンツ自動認識ソリューションのニーズは国を問わず飛躍的に高まっています。スマートTVやスマートフォン、ウェアラブルなどのセカンドスクリーンデバイスへのACR搭載が進むとともに、メディア企業による放送モニタリングや視聴者測定などのアプリケーションへのACR技術の導入が進んでいることが、市場拡大の主要な要因となっています。テレビエンターテインメント技術の黄金期は、過去10年間に一般消費者のテレビ視聴の可能性を爆発的に拡大させました。
予測期間中は構内型が最も大きな市場規模を持つ見込み
デプロイメントタイプのうち、オンプレミス型は予測期間中に市場規模が拡大すると予測される。データの世代が増えるにつれて、さまざまな課題が発生しています。これらの課題には、ストレージ、プライバシー、手頃な価格などがあります。
予測期間中、中小企業セグメントがより高いCAGRを維持する見込み
組織規模別では、大企業が市場をリードし、中小企業は予測期間中に高い成長率を記録すると予測される。大企業では、コンテンツ自動認識ソリューションを特定のユースケースで使用しているため、大企業でのコンテンツ自動認識およびサービスの採用が進んでいます。大企業は、ITインフラの性質が複雑であるため、セキュリティを根本的に管理することが課題となっています。
地域別では、アジア太平洋地域が予測期間中に最も高いCAGRを維持する見込み
アジア太平洋地域は、予測期間中に良いペースで成長すると予想されています。ビジネスプロセスの改善と合理化、意思決定のサポートが必要なことから、アジア太平洋地域における自動コンテンツ認識の需要が高まっています。したがって、この地域の自動コンテンツ認識ベンダーは、自社の製品ラインに関連するイノベーションに注力しています。中国、日本、インドは、自動コンテンツ認識市場の十分な成長機会を示しています。
プライマリーの内訳
自動コンテンツ認識市場で活動する様々な主要組織の最高経営責任者（CEO）、イノベーション・技術責任者、システムインテグレーター、経営幹部に対して詳細なインタビューを実施した。
企業別ではティアI：34％、ティアII：43％、ティアIII：23
役職別C-レベル幹部:50%、D-Level Executive。30％、マネージャー：20
地域別アジア太平洋: 30%、ヨーロッパ: 30%、北米: 25%、中東・アフリカ: 10%、ラテンアメリカ: 5
本レポートでは、コンテンツ自動認識ソリューションやサービスを提供する主要企業の調査も行っています。世界の自動コンテンツ認識市場における主要ベンダーのプロフィールを掲載しています。コンテンツ自動認識の世界市場における主要ベンダーは、IBM（米国）、Microsoft（米国）、Google（米国）、Digimarc（米国）、Apple（米国）、Nuance Communications（米国）、ArcSoft（米国）、ACRCloud（中国）、Audible Magic（米国）、KT Corporation（韓国）、Kudelski Group（スイス）、Gracenote（米国）、Nuance Communications（米国）、ArcSoft（中国）、Nuance Communications（中国）。VoiceInteraction（ポルトガル）、VoiceBase（米国）、Vobile（米国）、mufin GMBH（ドイツ）、Beatgrid Media BV（オランダ）、Clarifai（米国）、DataScouting（ギリシャ）、ivitec（ドイツ）、Viscovery Pte Ltd（台湾）、Zapr Media Labs（インド）、Valossa（フィンランド）、SenseTime（中国）、Verbit（米国）、Megvii（中国）、およびSambaTV（米国）。
調査対象範囲
本調査は、各セグメントにおけるコンテンツ自動認識市場を対象としています。コンポーネント、展開モード、組織規模、用途、業種、地域など、さまざまなセグメントにおける市場規模や成長性を推定することを目的としています。また、市場の主要企業の詳細な競合分析、企業プロファイル、製品および事業提供に関する主な見解、最近の開発、主要な市場戦略も掲載しています。
本レポートを購入する主な利点
本レポートは、自動コンテンツ認識市場全体とそのサブセグメントに関する収益数の最も近い近似値に関する情報を、同市場の市場リーダー/新規参入者に提供するものと思われます。本レポートは、ステークホルダーが競争環境を理解し、自社のビジネスを位置づけ、適切な市場参入戦略を計画するためのより良い洞察を得るのに役立つと思われます。また、利害関係者が市場の脈動を理解するのに役立ち、主要な市場促進要因、阻害要因、課題、機会に関する情報を提供する。

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1 INTRODUCTION 30
1.1 OBJECTIVES OF STUDY 30
1.2 MARKET DEFINITION 30
1.2.1 INCLUSIONS AND EXCLUSIONS 30
1.3 MARKET SCOPE 31
1.3.1 MARKET SEGMENTATION 31
1.3.2 REGIONS COVERED 32
1.3.3 YEARS CONSIDERED FOR STUDY 32
1.4 CURRENCY CONSIDERED 32
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2018–2020 33
1.5 STAKEHOLDERS 33
1.6 SUMMARY OF CHANGES 33
2 RESEARCH METHODOLOGY 35
2.1 RESEARCH DATA 35
FIGURE 1 AUTOMATIC CONTENT RECOGNITION MARKET: RESEARCH DESIGN 35
2.1.1 SECONDARY DATA 36
2.1.2 PRIMARY DATA 36
TABLE 2 PRIMARY INTERVIEWS 36
2.1.2.1 Breakup of primary profiles 37
2.1.2.2 Key industry insights 37
2.2 MARKET BREAKUP AND DATA TRIANGULATION 38
FIGURE 2 DATA TRIANGULATION 38
2.3 MARKET SIZE ESTIMATION 39
FIGURE 3 AUTOMATIC CONTENT RECOGNITION MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 39
2.3.1 TOP-DOWN APPROACH 39
2.3.2 BOTTOM-UP APPROACH 40
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES OF AUTOMATIC CONTENT RECOGNITION MARKET 40
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2 - BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL SOLUTIONS/SERVICES OF AUTOMATIC CONTENT RECOGNITION MARKET 41
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/ SERVICES OF AUTOMATIC CONTENT RECOGNITION MARKET 42
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF AUTOMATIC CONTENT RECOGNITION THROUGH OVERALL AUTOMATIC CONTENT RECOGNITION SPENDING 43

2.4 MARKET FORECAST 44
TABLE 3 FACTOR ANALYSIS 44
TABLE 4 IMPACT OF COVID-19 45
2.5 COMPANY EVALUATION MATRIX 45
FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 45
2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY 46
FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE 46
2.7 ASSUMPTIONS FOR STUDY 47
2.8 LIMITATIONS OF STUDY 48
3 EXECUTIVE SUMMARY 49
TABLE 5 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET SIZE AND GROWTH RATE, 2016–2021 (USD MILLION, Y-O-Y%) 50
TABLE 6 GLOBAL AUTOMATIC CONTENT RECOGNITION MARKET SIZE AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y%) 50
FIGURE 10 SOLUTION SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE IN 2022 50
FIGURE 11 AUDIO & VIDEO FINGERPRINTING SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2022 51
FIGURE 12 AUDIENCE SEGMENTATION & MEASUREMENT SEGMENT TO HOLD THE LARGEST MARKET SIZE IN 2022 51
FIGURE 13 VIDEO SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2022 52
FIGURE 14 CONNECTED TV SEGMENT TO HOLD LARGEST MARKET SIZE IN 2022 52
FIGURE 15 LARGE ENTERPRISES SEGMENT TO ACCOUNT FOR A LARGER MARKET SHARE IN 2022 52
FIGURE 16 ON-PREMISES SEGMENT TO HOLD LARGER MARKET SIZE IN 2022 53
FIGURE 17 CONSUMER ELECTRONICS SEGMENT TO GROW AT HIGHEST CAGR IN 2022 53
FIGURE 18 ASIA PACIFIC TO BE EMERGING DOMINANT REGION IN TERMS OF MARKET SIZE IN 2022 54
4 PREMIUM INSIGHTS 55
4.1 AUTOMATIC CONTENT RECOGNITION MARKET OVERVIEW 55
FIGURE 19 RISING USE OF SMART DEVICES AND CONTENT STREAMING SERVICES TO BOOST MARKET GROWTH 55
4.2 AUTOMATIC CONTENT RECOGNITION MARKET: TOP THREE VERTICALS 55
FIGURE 20 MEDIA & ENTERTAINMENT SEGMENT TO ACCOUNT FOR LARGEST MARKET SIZE DURING FORECAST PERIOD 55
4.3 AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION 56
FIGURE 21 ASIA PACIFIC TO ACCOUNT FOR LARGEST MARKET SHARE IN 2022 56
4.4 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY APPLICATION AND VERTICAL 56
FIGURE 22 AUDIENCE SEGMENTATION & MEASUREMENT SEGMENT AND MEDIA & ENTERTAINMENT VERTICAL TO ACCOUNT FOR THE HIGHEST SHARES IN 2022 56

5 MARKET OVERVIEW AND INDUSTRY TRENDS 57
5.1 INTRODUCTION 57
5.2 MARKET DYNAMICS 57
FIGURE 23 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AUTOMATIC CONTENT RECOGNITION MARKET 57
5.2.1 DRIVERS 58
5.2.1.1 Rising use of smart devices and content streaming services 58
5.2.1.2 Increase in deployment of automatic content recognition technologies by media & entertainment companies for audience measurement and broadcast monitoring 58
5.2.1.3 Increasing penetration of speech and voice recognition technology in smart appliances 59
5.2.1.4 Need to understand consumer behavior and the growing number of hosted automatic content recognition solution providers 59
5.2.2 RESTRAINTS 60
5.2.2.1 Huge investment in technology development keeps out small players 60
5.2.2.2 Data security concerns 60
5.2.3 OPPORTUNITIES 61
5.2.3.1 Increase in adoption of AI, ML, and NLP technologies 61
5.2.3.2 Evolving concept of contextual advertising, contextual commerce, enhanced contextual experiences, and spoiler-proof social feeds 61
5.2.4 CHALLENGES 61
5.2.4.1 Overcoming loopholes in automatic content recognition technologies 61
5.2.4.2 Technological challenges and complexity of devising content recognition algorithms 61
5.2.4.3 Ownership and privacy of collected data 62
5.2.4.4 Lack of skilled workforce 62
5.2.5 CUMULATIVE GROWTH ANALYSIS 62
5.3 AUTOMATIC CONTENT RECOGNITION: EVOLUTION 63
FIGURE 24 EVOLUTION OF AUTOMATIC CONTENT RECOGNITION 64
5.4 CASE STUDY ANALYSIS 64
5.4.1 MEDIA & ENTERTAINMENT 64
5.4.1.1 Case study 1: Sony TV used Zapr to engage with 2,000,000+ smartphone users 64
5.4.1.2 Case study 2: Endeavour Media enhanced their customer experience with Digimarc 65
5.4.2 IT & TELECOMMUNICATION 65
5.4.2.1 Case study 1: Avantive Solutions deployed VoiceBase Enterprise Accelerator to help clients automatically identify overall agent performance 65
5.4.3 RETAIL & ECOMMERCE 66
5.4.3.1 Case study 1: Britannia opted Zapr to reach out to the wider audience and generate a powerful brand impression 66
5.4.3.2 Case study 2: Datalogic S.p.A reduced bar code scanning time with Digimarc Solution 67
5.4.4 AUTOMOTIVE 67
5.4.4.1 Case study 1: CarDekho solved the duplication problem and reached the right audiences cost-effectively with Zapr 67
5.4.5 EDUCATION 68
5.4.5.1 Case study 1: Crafton Hills College (CHC) enhanced live captioning with Verbit to deliver quality education for disabled beings 68
5.4.5.2 Case study 2: University of Pittsburgh enhanced live captioning with Verbit for commencement ceremonies across 35 countries 68
5.4.6 HEALTHCARE & LIFE SCIENCES 69
5.4.6.1 Case study 1: Delta Dental selected Voice Base’s Enterprise Accelerator to streamline its call center operations 69
5.4.7 CONSUMER ELECTRONICS 69
5.4.7.1 Case Study 1: Dell bridged Offline TV with targeted engagement among young audiences 69
5.4.8 GOVERNMENT & DEFENSE 70
5.4.8.1 Case study 1: Groundwork Ohio provided accessible content to its community with Verbit’s transcription 70
5.5 SUPPLY/VALUE CHAIN ANALYSIS 71
FIGURE 25 SUPPLY/VALUE CHAIN ANALYSIS 71
5.6 TECHNOLOGY ANALYSIS 71
5.6.1 AI AND AUTOMATIC CONTENT RECOGNITION 72
5.6.2 MACHINE LEARNING AND AUTOMATIC CONTENT RECOGNITION 72
5.6.3 INTERNET OF THINGS AND AUTOMATIC CONTENT RECOGNITION 72
5.6.4 AUTOMATIC CONTENT RECOGNITION AND NATURAL LANGUAGE PROCESSING 73
5.7 PATENT ANALYSIS 73
5.7.1 METHODOLOGY 73
5.7.2 DOCUMENT TYPE 73
TABLE 7 PATENTS FILED, 2019–2022 73
5.7.3 INNOVATION AND PATENT APPLICATIONS 73
FIGURE 26 ANNUAL NUMBER OF PATENTS GRANTED, 2018–2022 74
5.7.3.1 Top applicants 74
FIGURE 27 TOP TEN COMPANIES WITH THE HIGHEST NUMBER OF PATENT APPLICATIONS, 2020–2022 74
5.8 AUTOMATIC CONTENT RECOGNITION ECOSYSTEM 75
TABLE 8 AUTOMATIC CONTENT RECOGNITION MARKET: ECOSYSTEM 75
5.9 PRICING MODEL ANALYSIS 76
TABLE 9 PRICING MODEL 76
5.10 PORTER’S FIVE FORCES ANALYSIS 77
FIGURE 28 AUTOMATIC CONTENT RECOGNITION MARKET: PORTER’S FIVE FORCES ANALYSIS 77
TABLE 10 AUTOMATIC CONTENT RECOGNITION MARKET: PORTER’S FIVE FORCES ANALYSIS 78
5.10.1 THREAT OF NEW ENTRANTS 78
5.10.2 THREAT OF SUBSTITUTES 78
5.10.3 BARGAINING POWER OF SUPPLIERS 78
5.10.4 BARGAINING POWER OF BUYERS 79
5.10.5 INTENSITY OF COMPETITIVE RIVALRY 79
5.11 REGULATORY IMPLICATIONS 79
5.11.1 GENERAL DATA PROTECTION REGULATION 79
5.11.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT 79
5.11.3 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD 80
5.11.4 SARBANES-OXLEY ACT OF 2002 80
5.11.5 SOC 2 TYPE II COMPLIANCE 80
5.11.6 ISO/IEC 27001 80
5.11.7 THE GRAMM–LEACH–BLILEY ACT 81
5.12 AUTOMATIC CONTENT RECOGNITION MARKET: COVID-19 IMPACT 81
5.13 KEY CONFERENCES & EVENTS IN 2022-2023 81
TABLE 11 AUTOMATIC CONTENT RECOGNITION MARKET: DETAILED LIST OF CONFERENCES & EVENTS 81
5.14 TARIFF AND REGULATORY LANDSCAPE 82
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 82
TABLE 12 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 82
TABLE 13 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 83
TABLE 14 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 83
TABLE 15 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 84
TABLE 16 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 85
5.14.2 NORTH AMERICA: TARIFFS AND REGULATIONS 85
5.14.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA) 85
5.14.2.2 Gramm-Leach-Bliley (GLB) Act 85
5.14.2.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996 86
5.14.2.4 Federal Information Security Management Act (FISMA) 86
5.14.2.5 Federal Information Processing Standards (FIPS) 86
5.14.2.6 California Consumer Privacy Act (CSPA) 87
5.14.3 EUROPE: TARIFFS AND REGULATIONS 87
5.14.3.1 GDPR 2016/679 is a regulation in the EU 87
5.14.3.2 General Data Protection Regulation 87
5.14.3.3 European Committee for Standardization (CEN) 87
5.14.3.4 European Technical Standards Institute (ETSI) 87
5.15 KEY STAKEHOLDERS & BUYING CRITERIA 88
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 88
TABLE 17 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE TECHNOLOGIES (%) 88

5.15.2 BUYING CRITERIA 88
TABLE 18 KEY BUYING CRITERIA FOR TOP THREE TECHNOLOGIES 88
6 AUTOMATIC CONTENT RECOGNITION MARKET, BY COMPONENT 89
6.1 INTRODUCTION 90
6.1.1 COVID-19 IMPACT ON AUTOMATIC CONTENT RECOGNITION MARKET, BY COMPONENT 90
FIGURE 29 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 91
TABLE 19 AUTOMATIC CONTENT RECOGNITION MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 91
TABLE 20 AUTOMATIC CONTENT RECOGNITION MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 91
6.1.2 COMPONENT: AUTOMATIC CONTENT RECOGNITION MARKET DRIVERS 92
6.2 SOLUTION 92
TABLE 21 SOLUTION: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 93
TABLE 22 SOLUTION: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 93
6.3 SERVICES 93
TABLE 23 SERVICES: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 94
TABLE 24 SERVICES: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 94
6.3.1 MANAGED SERVICES 94
6.3.2 PROFESSIONAL SERVICES 95
6.3.2.1 Consulting 95
6.3.2.2 Deployment & integration 95
6.3.2.3 Support & maintenance 95
7 AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY 96
7.1 INTRODUCTION 97
7.1.1 COVID-19 IMPACT ON AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY 97
FIGURE 30 AUDIO & VIDEO FINGERPRINTING SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 98
TABLE 25 AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION) 98
TABLE 26 AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION) 99
7.1.2 TECHNOLOGY: AUTOMATIC CONTENT RECOGNITION MARKET DRIVERS 99
7.2 AUDIO & VIDEO FINGERPRINTING 99
TABLE 27 AUDIO & VIDEO FINGERPRINTING: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 100
TABLE 28 AUDIO & VIDEO FINGERPRINTING: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 100

7.3 AUDIO & VIDEO WATERMARKING 100
TABLE 29 AUDIO & VIDEO WATERMARKING: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 101
TABLE 30 AUDIO & VIDEO WATERMARKING: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 101
7.4 SPEECH RECOGNITION 101
TABLE 31 SPEECH RECOGNITION: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 102
TABLE 32 SPEECH RECOGNITION: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 102
7.5 OPTICAL CHARACTER RECOGNITION 102
TABLE 33 OPTICAL CHARACTER RECOGNITION: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 103
TABLE 34 OPTICAL CHARACTER RECOGNITION: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 103
7.6 OTHER TECHNOLOGIES 103
TABLE 35 OTHER TECHNOLOGIES: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 104
TABLE 36 OTHER TECHNOLOGIES: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 104
8 AUTOMATIC CONTENT RECOGNITION MARKET, BY APPLICATION 105
8.1 INTRODUCTION 106
8.1.1 COVID-19 IMPACT ON AUTOMATIC CONTENT RECOGNITION MARKET, BY APPLICATION 106
FIGURE 31 CONTENT FILTERING SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 107
TABLE 37 AUTOMATIC CONTENT RECOGNITION MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 107
TABLE 38 AUTOMATIC CONTENT RECOGNITION MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 108
8.1.2 APPLICATION: AUTOMATIC CONTENT RECOGNITION MARKET DRIVERS 108
8.2 AUDIENCE SEGMENTATION & MEASUREMENT 109
TABLE 39 AUDIENCE SEGMENTATION & MEASUREMENT: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 109
TABLE 40 AUDIENCE SEGMENTATION & MEASUREMENT: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 110
8.3 BROADCAST MONITORING 110
TABLE 41 BROADCAST MONITERING: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 110
TABLE 42 BROADCAST MONITERING: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 111
8.4 ADVERTISEMENT TARGETING & PRICING 111
TABLE 43 ADVERTISEMENT TARGETING & PRICING: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 111
TABLE 44 ADVERTISEMENT TARGETING & PRICING: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 112
8.5 CONTENT FILTERING 112
TABLE 45 CONTENT FILTERING: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 112
TABLE 46 CONTENT FILTERING: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 113
8.6 OTHER APPLICATIONS 113
TABLE 47 OTHER APPLICATIONS: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 113
TABLE 48 OTHER APPLICATIONS: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 114
9 AUTOMATIC CONTENT RECOGNITION MARKET, BY CONTENT 115
9.1 INTRODUCTION 116
9.1.1 COVID-19 IMPACT ON AUTOMATIC CONTENT RECOGNITION MARKET, BY CONTENT 116
FIGURE 32 IMAGE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 116
TABLE 49 AUTOMATIC CONTENT RECOGNITION MARKET, BY CONTENT, 2016–2021 (USD MILLION) 117
TABLE 50 AUTOMATIC CONTENT RECOGNITION MARKET, BY CONTENT, 2022–2027 (USD MILLION) 117
9.1.2 CONTENT: AUTOMATIC CONTENT RECOGNITION MARKET DRIVERS 117
9.2 AUDIO 118
TABLE 51 AUDIO: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 118
TABLE 52 AUDIO: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 118
9.3 VIDEO 119
TABLE 53 VIDEO: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 119
TABLE 54 VIDEO: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 119
9.4 TEXT 120
TABLE 55 TEXT: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 120
TABLE 56 TEXT: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 120
9.5 IMAGE 121
TABLE 57 IMAGE: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 121
TABLE 58 IMAGE: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 121

10 AUTOMATIC CONTENT RECOGNITION MARKET, BY DEPLOYMENT MODE 122
10.1 INTRODUCTION 123
10.1.1 COVID-19 IMPACT ON AUTOMATIC CONTENT RECOGNITION MARKET, BY DEPLOYMENT MODE 123
FIGURE 33 CLOUD SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 123
TABLE 59 AUTOMATIC CONTENT RECOGNITION MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 124
TABLE 60 AUTOMATIC CONTENT RECOGNITION MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 124
10.1.2 DEPLOYMENT MODE: AUTOMATIC CONTENT RECOGNITION MARKET DRIVERS 124
10.2 ON-PREMISES 125
TABLE 61 ON-PREMISES: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 125
TABLE 62 ON-PREMISES: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 125
10.3 CLOUD 126
TABLE 63 CLOUD: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 126
TABLE 64 CLOUD: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 126
11 AUTOMATIC CONTENT RECOGNITION MARKET, BY ORGANIZATION SIZE 127
11.1 INTRODUCTION 128
11.1.1 COVID-19 IMPACT ON AUTOMATIC CONTENT RECOGNITION MARKET, BY ORGANIZATION SIZE 128
FIGURE 34 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 129
TABLE 65 AUTOMATIC CONTENT RECOGNITION MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 129
TABLE 66 AUTOMATIC CONTENT RECOGNITION MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 129
11.1.2 ORGANIZATIONS SIZE: AUTOMATIC CONTENT RECOGNITION MARKET DRIVERS 129
11.2 SMALL AND MEDIUM-SIZED ENTERPRISES 130
TABLE 67 SMALL AND MEDIUM-SIZED ENTERPRISES: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 130
TABLE 68 SMALL AND MEDIUM-SIZED ENTERPRISES: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 131
11.3 LARGE ENTERPRISES 131
TABLE 69 LARGE ENTERPRISES: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 131
TABLE 70 LARGE ENTERPRISES: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 132

12 AUTOMATIC CONTENT RECOGNITION MARKET, BY PLATFORM 133
12.1 INTRODUCTION 134
12.1.1 COVID-19 IMPACT ON AUTOMATIC CONTENT RECOGNITION MARKET, BY PLATFORM 134
FIGURE 35 OTT APPLICATIONS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 134
TABLE 71 AUTOMATIC CONTENT RECOGNITION MARKET, BY PLATFORM, 2016–2021 (USD MILLION) 135
TABLE 72 AUTOMATIC CONTENT RECOGNITION MARKET, BY PLATFORM, 2022–2027 (USD MILLION) 135
12.1.2 PLATFORM: AUTOMATIC CONTENT RECOGNITION MARKET DRIVERS 135
12.2 LINEAR TV 135
TABLE 73 LINEAR TV: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 136
TABLE 74 LINEAR TV: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 136
12.3 CONNECTED TV 136
TABLE 75 CONNECTED TV: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 137
TABLE 76 CONNECTED TV: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 137
12.4 OTT APPLICATIONS 137
TABLE 77 OTT APPLICATIONS: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 138
TABLE 78 OTT APPLICATIONS: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 138
12.5 OTHER PLATFORMS 138
TABLE 79 OTHER PLATFORMS: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 139
TABLE 80 OTHER PLATFORMS: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 139
13 AUTOMATIC CONTENT RECOGNITION MARKET, BY VERTICAL 140
13.1 INTRODUCTION 141
13.1.1 COVID-19 IMPACT ON AUTOMATIC CONTENT RECOGNITION MARKET, BY INDUSTRY VERTICAL 141
FIGURE 36 CONSUMER ELECTRONICS INDUSTRY VERTICAL TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 142
TABLE 81 AUTOMATIC CONTENT RECOGNITION MARKET, BY INDUSTRY VERTICAL, 2016–2021 (USD MILLION) 143
TABLE 82 AUTOMATIC CONTENT RECOGNITION MARKET, BY INDUSTRY VERTICAL, 2022–2027 (USD MILLION) 143
13.1.2 VERTICAL: AUTOMATIC CONTENT RECOGNITION MARKET DRIVERS 144
13.2 MEDIA & ENTERTAINMENT 144
TABLE 83 MEDIA & ENTERTAINMENT: USE CASES 145
TABLE 84 MEDIA & ENTERTAINMENT: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 145
TABLE 85 MEDIA & ENTERTAINMENT: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 145
13.3 CONSUMER ELECTRONICS 146
TABLE 86 CONSUMER ELECTRONICS: USE CASES 146
TABLE 87 CONSUMER ELECTRONICS: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 146
TABLE 88 CONSUMER ELECTRONICS: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 147
13.4 RETAIL & ECOMMERCE 147
TABLE 89 RETAIL & ECOMMERCE: USE CASES 147
TABLE 90 RETAIL & ECOMMERCE: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 148
TABLE 91 RETAIL & ECOMMERCE: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 148
13.5 EDUCATION 148
TABLE 92 EDUCATION: USE CASES 149
TABLE 93 EDUCATION: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 149
TABLE 94 EDUCATION: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 149
13.6 AUTOMOTIVE 150
TABLE 95 AUTOMOTIVE: USE CASES 150
TABLE 96 AUTOMOTIVE: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 150
TABLE 97 AUTOMOTIVE: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 151
13.7 IT & TELECOMMUNICATION 151
TABLE 98 IT & TELECOMMUNICATION: USE CASES 151
TABLE 99 IT & TELECOMMUNICATION: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 152
TABLE 100 IT & TELECOMMUNICATION: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 152
13.8 HEALTHCARE & LIFE SCIENCES 152
TABLE 101 HEALTHCARE & LIFESCIENCES: USE CASES 153
TABLE 102 HEALTHCARE & LIFE SCIENCES: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 153
TABLE 103 HEALTHCARE & LIFE SCIENCES: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 153
13.9 GOVERNMENT & DEFENSE 154
TABLE 104 GOVERNMENT & DEFENSE: USE CASES 154
TABLE 105 GOVERNMENT & DEFENSE: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 154
TABLE 106 GOVERNMENT & DEFENSE: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 155

13.10 AVIONICS 155
TABLE 107 AVIONICS: USE CASES 155
TABLE 108 AVIONICS: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 156
TABLE 109 AVIONICS: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 156
13.11 OTHER VERTICALS 156
TABLE 110 OTHER INDUSTRY VERTICALS: USE CASES 157
TABLE 111 OTHER INDUSTRY VERTICALS: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 157
TABLE 112 OTHER INDUSTRY VERTICALS: AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 157
14 AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION 158
14.1 INTRODUCTION 159
FIGURE 37 CHINA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 159
FIGURE 38 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 160
14.1.1 COVID-19 IMPACT ON AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION 160
TABLE 113 AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 163
TABLE 114 AUTOMATIC CONTENT RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 164
14.2 NORTH AMERICA 164
14.2.1 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET DRIVERS 164
FIGURE 39 NORTH AMERICA: MARKET SNAPSHOT 165
TABLE 115 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 166
TABLE 116 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 166
TABLE 117 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION) 166
TABLE 118 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION) 167
TABLE 119 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 167
TABLE 120 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 167
TABLE 121 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY CONTENT, 2016–2021 (USD MILLION) 168
TABLE 122 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY CONTENT, 2022–2027 (USD MILLION) 168
TABLE 123 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY PLATFORM, 2016–2021 (USD MILLION) 168
TABLE 124 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY PLATFORM, 2022–2027 (USD MILLION) 169
TABLE 125 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 169
TABLE 126 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 169
TABLE 127 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 169
TABLE 128 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 170
TABLE 129 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 170
TABLE 130 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 171
TABLE 131 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2016–2021 (USD MILLION) 171
TABLE 132 NORTH AMERICA: AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 171
14.2.2 UNITED STATES 172
14.2.2.1 Presence of tech giants and increased use of the internet to drive automatic content recognition market growth 172
14.2.3 CANADA 172
14.2.3.1 Startup ecosystem and transformation into data-driven organizations to drive market growth 172
14.3 EUROPE 173
14.3.1 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET DRIVERS 174
TABLE 133 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 174
TABLE 134 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 174
TABLE 135 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION) 175
TABLE 136 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION) 175
TABLE 137 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 175
TABLE 138 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 176
TABLE 139 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY CONTENT, 2016–2021 (USD MILLION) 176
TABLE 140 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY CONTENT, 2022–2027 (USD MILLION) 176
TABLE 141 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY PLATFORM, 2016–2021 (USD MILLION) 177
TABLE 142 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY PLATFORM, 2022–2027 (USD MILLION) 177
TABLE 143 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 177
TABLE 144 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 177
TABLE 145 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 178
TABLE 146 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 178
TABLE 147 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 178
TABLE 148 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 179
TABLE 149 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2016–2021 (USD MILLION) 179
TABLE 150 EUROPE: AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 179
14.3.2 UNITED KINGDOM 180
14.3.2.1 Advanced IT infrastructure and continued transition toward intelligence services to drive market growth 180
14.3.3 GERMANY 180
14.3.3.1 Government initiatives for technological developments in the manufacturing vertical to drive solutions’ growth 180
14.3.4 FRANCE 181
14.3.4.1 Heavy R&D investments, digitalization, and stronghold of retail and manufacturing verticals to drive market growth 181
14.3.5 REST OF EUROPE 181
14.4 ASIA PACIFIC 182
14.4.1 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET DRIVERS 182
FIGURE 40 ASIA PACIFIC: MARKET SNAPSHOT 183
TABLE 151 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 183
TABLE 152 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 184
TABLE 153 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION) 184
TABLE 154 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION) 184
TABLE 155 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 185
TABLE 156 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 185
TABLE 157 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY CONTENT, 2016–2021 (USD MILLION) 185
TABLE 158 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY CONTENT, 2022–2027 (USD MILLION) 186
TABLE 159 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY PLATFORM, 2016–2021 (USD MILLION) 186
TABLE 160 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY PLATFORM, 2022–2027 (USD MILLION) 186
TABLE 161 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 187
TABLE 162 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 187
TABLE 163 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 187
TABLE 164 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 187
TABLE 165 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 188
TABLE 166 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 188
TABLE 167 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2016–2021 (USD MILLION) 189
TABLE 168 ASIA PACIFIC: AUTOMATIC CONTENT RECOGNITION MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 189
14.4.2 CHINA 189
14.4.2.1 Automatic content recognition services for driving policy support and technological investments to fuel market growth 189
14.4.3 JAPAN 190
14.4.3.1 Rise of innovative technologies and collaboration between governments and businesses to boost market growth 190
14.4.4 INDIA 190
14.4.4.1 Local entrepreneurs with shift in technologies to provide support to Indian companies in the automatic content recognition market 190
14.4.5 REST OF ASIA PACIFIC 191

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Table of Contents

Summary

The automatic content recognition market is estimated to grow from USD 2.3 Billion in 2022 to USD 4.9 Billion by 2027, at a CAGR of 16.8% during the forecast period. The automatic content recognition market is expected to grow at a rapid pace due to the evolution of new technologies, and adoption and scaling of digital initiatives.
Automatic content recognition technology that analyses pixels on smart, internet-connected device screens to determine what information and advertisements people are viewing. It has the potential to make TV advertising less of a black box by revealing the true reach of advertisements, but it requires customer opt-in, which has slowed adoption.
The need for automatic content recognition solutions has risen dramatically across all countries as automatic content recognition technology becomes more integrated into smart phones and smart TVs. The rising integration of ACR in smart TVs and second screen devices such as smartphones and wearables, as well as the increasing deployment of ACR technologies by media firms for applications such as broadcast monitoring and audience measurement, are the primary drivers of market expansion. A golden age in TV entertainment technology has resulted in an explosion of TV viewing possibilities for the common consumer during the last decade.
The on premises segment to have the larger market size during the forecast period
Among deployment type, the on premises segment is estimated to grow with the larger market size during the forecast period. The increasing generation of data leads to various challenges for several organizations. These challenges include storage, privacy, and affordability.
The SMEs segment to hold higher CAGR during the forecast period
Among the organization size, the large enterprises are projected to lead the market, while the SMEs segment is projected to record a higher growth rate during the forecast period. The adoption of Automatic content recognition and services among large enterprises is elevated as large enterprises use automatic content recognition solutions for specific use cases. They are challenged with the problematic assignment of fundamentally managing security because of the distinct nature of IT infrastructure, which is complicated in nature.
Among regions, Asia Pacific to hold highest CAGR during the forecast period
Asia Pacific is expected to grow at a good pace during the forecast period. The need to improve and streamline business processes and support decision-making is driving the demand for automatic content recognition in the Asia Pacific. Hence, Automatic content recognition vendors in this region focus on innovations related to their product line. China, Japan, and India have displayed ample growth opportunities in the Automatic content recognition market.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the Automatic content recognition market.
 By Company: Tier I: 34%, Tier II: 43%, and Tier III: 23%
 By Designation: C-Level Executives: 50%, D-Level Executives: 30%, and Managers: 20%
 By Region: Asia Pacific: 30%, Europe: 30%, North America: 25%, Middle East & Africa: 10%, Latin America: 5%
The report includes the study of key players offering Automatic content recognition solutions and services. It profiles major vendors in the global Automatic content recognition market. The major vendors in the global Automatic content recognition market include IBM (US), Microsoft (US), Google (US), Digimarc (US), Apple (US), Nuance Communications (US), ArcSoft (US), ACRCloud (China), Audible Magic (US), KT Corporation (South Korea), Kudelski Group (Switzerland), Gracenote (US), VoiceInteraction (Portugal), VoiceBase (US), Vobile (US), mufin GMBH (Germany), Beatgrid Media BV (Netherlands), Clarifai (US), DataScouting (Greece), ivitec (Germany), Viscovery Pte Ltd (Taiwan), Zapr Media Labs (India), Valossa (Finland), SenseTime (China), Verbit (US), Megvii (China), and SambaTV (US).
Research Coverage
The market study covers the Automatic content recognition market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as components, deployment mode, organization size, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with 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 would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall Automatic content recognition market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

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