サマリー

組み込みAI市場は、予測期間中に14.0%の複合年間成長率（CAGR）で、2023年の94億米ドルから2028年までに180億米ドルに成長すると予測される。パーソナライズされた体験のためのインテリジェントで自律的なシステムに対する需要の高まりと、より良いスマートな意思決定のためのAIとML技術の進歩の増加により、市場は成長すると予測される。
予測期間中、ハードウェア分野が最大の市場規模を握る
組み込みAI市場のハードウェアセグメントは、AIを搭載したデバイスやアプリケーションに対する需要の増加により急成長している。組み込みAIハードウェアは、組み込みシステム上でAIアプリケーションを直接サポートするために必要なコンピューティングパワーと特殊な機能を提供することで、市場で重要な役割を果たしている。組込みAIハードウェアは、特定の組込みシステムにカスタマイズして組み込むことができ、シームレスな互換性とリソースの効率的な利用を保証します。これにより、ハードウェアベンダーやシステム設計者は、ターゲット・アプリケーションの特定の要件に合わせてAIハードウェアをカスタマイズし、最適なパフォーマンスと機能を実現することができる。
垂直分野別では、ヘルスケアおよびライフサイエンス分野が予測期間中のCAGRが最も高くなる。
ヘルスケアおよびライフサイエンス分野では、組み込みAIが診断、患者モニタリング、個別化医療、データ分析のための医療機器や装置に使用されている。医療機器に組み込まれたAIアルゴリズムは、病気の早期発見、臨床医の意思決定支援、患者の遠隔モニタリングに役立つ。ヘルスケアおよびライフサイエンス業界における組み込みAIの採用は、患者の転帰を改善し、効率を高め、個別化医療を可能にする可能性に後押しされて急速に拡大している。
予測期間中に市場規模が最も急拡大する北米
北米では、インテリジェントでコネクテッドなデバイスの状況を形成するさまざまな要因によって、組み込みAI市場の技術的成長が著しい。北米における組み込みAIの採用は、技術の進歩、IoTの台頭、支援的なエコシステム、その利点に対する認識の高まりに後押しされ、業界全体で勢いを増している。同地域では、インテリジェントなエッジデバイスや組み込みAIを活用した革新的なアプリケーションの普及が見られ、さまざまな産業の変革に貢献している。
プライマリーの内訳
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、ソーシャルメディア管理市場で事業を展開する様々な主要組織の幹部に対して詳細なインタビューを実施。
 企業別：ティアⅠ：38％、ティアⅡ：50％、ティアⅢ：12
 役職別Cレベルエグゼクティブ：35%、D-レベル・エグゼクティブ：40%、マネージャー：25
 地域別北米：40％、アジア太平洋：20％、欧州：30％、中東アフリカ：5％、中南米- 5
本レポートには、組み込みAIソリューションを提供する主要プレイヤーの調査が含まれています。組込みAI市場の主要ベンダーのプロフィールを掲載しています。組み込みAI市場の主要プレーヤーには、グーグル（米国）、IBM（米国）、マイクロソフト（米国）、AWS（米国）、エヌビディア（米国）、インテル（米国）、クアルコム（米国）、アーム（英国）、AMD（米国）、メディアテック（台湾）、オラクル（米国）、セールスフォース（米国）、NXP（オランダ）、ラティス（オレゴン）、オクトニオン（スイス）、ニューロスペース（米国）、シーメンス（ドイツ）が含まれる、HPE（米国）、LUIS Technology（ドイツ）、Code Time Technologies（カナダ）、HiSilicon（中国）、VectorBlox（カナダ）、Au-Zone Technologies（カナダ）、STMicroelectronics（スイス）、SenseTime（香港）、Edge Impulse（米国）、Perceive（米国）、Eta Compute（米国）、SensiML（米国）、Syntiant（米国）、Graphcore（英国）、SiMa.ai（米国）。
調査範囲
組み込みAI市場の調査には、広範な二次情報源、ディレクトリ、ジャーナル、有料データベースを使用した。一次情報源は、主に基幹産業および関連産業の業界専門家、好まれる組み込みAIプロバイダー、サードパーティサービスプロバイダー、コンサルティングサービスプロバイダー、エンドユーザー、その他の営利企業であった。重要な質的・量的情報を入手・検証し、市場の将来性を評価するために、主要な業界関係者や主題専門家を含む様々な主要回答者との綿密なインタビューを実施した。

レポート購入の主なメリット
本レポートは、本市場における市場リーダー/新規参入者に、組み込みAI市場全体とそのサブセグメントにおける収益数の最も近い近似値に関する情報を提供する。本レポートは、ステークホルダーが競合状況を理解し、自社のビジネスを位置付け、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だろう。また、利害関係者が市場の鼓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します。
本レポートは、以下のポイントに関する洞察を提供します：
- 主な促進要因の分析（パーソナライズされたエクスペリエンスのためのインテリジェントで自律的なシステムへの需要の高まり、より良いスマートな意思決定のためのAIとML技術の進歩の増加、効果的な通信のための接続されたデバイスとIoTエコシステムの普及、業界固有のアプリケーションのための組み込みAIの使用率の上昇）、阻害要因（データプライバシーとセキュリティに関する懸念、技能のある優秀な人材の不足）、機会（複雑なAIアルゴリズムを効果的に処理するための、より強力でエネルギー効率の高いプロセッサの需要の高まり、より優れたスケーラビリティのためのクラウドベースのAIサービスとの統合）、課題（不十分な計算リソースとモデルの最適化、ROIの低い高いインフラコスト）。
- 製品開発／イノベーション：組込みAI市場における今後の技術、研究開発活動、新製品・新サービスの発売に関する詳細な洞察
- 市場開発：有利な市場に関する包括的な情報 - 当レポートでは、さまざまな地域の組み込み型AI市場を分析しています。
- 市場の多様化：エンベデッドAI市場における新製品＆サービス、未開拓地域、最近の開発、投資に関する詳細情報
- 競合評価：Google（米国）、IBM（米国）、Microsoft（米国）、AWS（米国）、NVIDIA（米国）、Intel（米国）、Qualcomm（米国）、Arm（英国）、AMD（米国）、MediaTek（台湾）、Oracle（米国）など、Embedded AI市場戦略における主要企業の市場シェア、成長戦略、サービス内容を詳細に評価。また、本レポートは、関係者が組み込みAI市場の鼓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します。

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目次

1 INTRODUCTION 41
1.1 STUDY OBJECTIVES 41
1.2 MARKET DEFINITION 41
1.2.1 INCLUSIONS AND EXCLUSIONS 42
1.3 MARKET SCOPE 43
1.3.1 MARKET SEGMENTATION 43
1.3.2 REGIONS COVERED 44
1.3.3 YEARS CONSIDERED 44
1.4 CURRENCY CONSIDERED 44
1.5 STAKEHOLDERS 45
2 RESEARCH METHODOLOGY 46
2.1 RESEARCH DATA 46
FIGURE 1 EMBEDDED AI MARKET: RESEARCH DESIGN 46
2.1.1 SECONDARY DATA 47
2.1.2 PRIMARY DATA 47
2.1.2.1 List of key primary interview participants 47
2.1.2.2 Breakdown of primary profiles 48
FIGURE 2 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION 48
2.1.2.3 Key insights from industry experts 48
2.2 DATA TRIANGULATION AND MARKET BREAKUP 49
FIGURE 3 DATA TRIANGULATION 49
2.3 MARKET SIZE ESTIMATION 50
FIGURE 4 EMBEDDED AI MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 50
2.3.1 TOP-DOWN APPROACH 50
2.3.2 BOTTOM-UP APPROACH 51
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF EMBEDDED AI MARKET 51
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF EMBEDDED AI MARKET 52
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF EMBEDDED AI MARKET 53
FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF EMBEDDED AI THROUGH OVERALL EMBEDDED AI SPENDING 54
2.4 MARKET FORECAST 55
TABLE 1 FACTOR ANALYSIS 55
 
2.5 ASSUMPTIONS 56
TABLE 2 ASSUMPTIONS 56
2.6 LIMITATIONS 57
2.7 RECESSION IMPACT ANALYSIS 58
TABLE 3 IMPACT OF RECESSION ON GLOBAL EMBEDDED AI MARKET 58
3 EXECUTIVE SUMMARY 60
TABLE 4 GLOBAL EMBEDDED AI MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y %) 61
TABLE 5 GLOBAL EMBEDDED AI MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y %) 62
FIGURE 9 HARDWARE SEGMENT TO DOMINATE MARKET IN 2023 62
FIGURE 10 EDGE COMPUTING PLATFORMS SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023 62
FIGURE 11 PROCESSORS SEGMENT TO HOLD LARGEST MARKET SIZE IN 2023 63
FIGURE 12 SYSTEM INTEGRATION & IMPLEMENTATION SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023 63
FIGURE 13 NUMERIC DATA SEGMENT TO HOLD LARGEST MARKET SIZE IN 2023 63
FIGURE 14 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 64
FIGURE 15 NORTH AMERICA TO HOLD LARGEST MARKET SHARE AND ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 64
4 PREMIUM INSIGHTS 65
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN EMBEDDED AI MARKET 65
FIGURE 16 PROLIFERATION OF CONNECTED DEVICES AND IOT ECOSYSTEM FOR EFFECTIVE COMMUNICATIONS TO DRIVE MARKET GROWTH 65
4.2 OVERVIEW OF RECESSION IN GLOBAL EMBEDDED AI MARKET 66
FIGURE 17 EMBEDDED AI MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023 66
4.3 EMBEDDED AI MARKET: TOP THREE DATA TYPES 66
FIGURE 18 NUMERIC DATA SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 66
4.4 NORTH AMERICA: EMBEDDED AI MARKET, BY OFFERING AND TOP THREE VERTICALS 67
FIGURE 19 HARDWARE SEGMENT AND AUTOMOTIVE SEGMENT TO HOLD LARGEST MARKET SHARES IN NORTH AMERICA IN 2023 67
4.5 EMBEDDED AI MARKET: BY REGION 67
FIGURE 20 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2023 67
5 MARKET OVERVIEW AND INDUSTRY TRENDS 68
5.1 INTRODUCTION 68
5.2 MARKET DYNAMICS 68
FIGURE 21 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: EMBEDDED AI MARKET 69
5.2.1 DRIVERS 69
5.2.1.1 Growing demand for intelligent and autonomous systems 69
5.2.1.2 Increasing advancements in AI and ML technologies for better and smart decisions 70
5.2.1.3 Proliferation of connected devices and IoT ecosystem for effective communications 70
5.2.1.4 Rising use of embedded AI for industry-specific applications 71
5.2.2 RESTRAINTS 71
5.2.2.1 Data privacy and security concerns 71
5.2.2.2 Shortage of skilled and talented workforce 72
5.2.3 OPPORTUNITIES 72
5.2.3.1 Rising demand for more powerful and energy-efficient processors 72
5.2.3.2 Integration with cloud-based AI services for better scalability 73
5.2.4 CHALLENGES 73
5.2.4.1 Inadequate computational resources and model optimization 73
5.2.4.2 High infrastructure costs with lower ROI 74
5.3 CASE STUDY ANALYSIS 74
5.3.1 CASE STUDY 1: EDGE IMPULSE HELPED OURA RING PROVIDE ENHANCED ANALYSIS OF SLEEP PATTERNS AND USER READINESS 74
5.3.2 CASE STUDY 2: NVIDIA JETSON TX2 NX OFFERED ACCURATE FALL DETECTION BY DEPLOYING NOVI SMART LAMP 75
5.3.3 CASE STUDY 3: ROLLOOS ACTIVELY MONITORED RED ZONES IN REAL TIME BY DEPLOYING NVIDIA'S ACCELERATION TOOLKITS 75
5.3.4 CASE STUDY 4: MERCEDES-BENZ CONSULTING OPTIMIZED DEALERSHIP LAYOUT USING MODCAM STORE ANALYTICS 76
5.3.5 CASE STUDY 5: TVGH ACHIEVED REAL-TIME AI INFERENCE BY UTILIZING AETINA EDGE AI STARTER PACKAGE 76
5.4 TARIFF AND REGULATORY LANDSCAPE 77
5.4.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 77
5.4.2 NORTH AMERICA 77
TABLE 6 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 77
5.4.3 EUROPE 78
TABLE 7 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 78
5.4.4 ASIA PACIFIC 78
TABLE 8 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 78
5.4.5 MIDDLE EAST & AFRICA 79
TABLE 9 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 79
5.4.6 LATIN AMERICA 79
TABLE 10 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 79
5.5 ECOSYSTEM 80
FIGURE 22 EMBEDDED AI MARKET: ECOSYSTEM 80
 
5.6 PATENT ANALYSIS 80
5.6.1 METHODOLOGY 80
5.6.2 PATENTS FILED, BY DOCUMENT TYPE, 2013–2023 80
TABLE 11 PATENTS FILED, 2013–2023 80
5.6.3 INNOVATION AND PATENT APPLICATIONS 81
FIGURE 23 TOTAL NUMBER OF PATENTS GRANTED, 2013–2023 81
5.6.3.1 Top applicants 81
FIGURE 24 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST TEN YEARS, 2013–2023 81
TABLE 12 TOP TWENTY PATENT OWNERS IN EMBEDDED AI MARKET, 2013–2023 82
TABLE 13 LIST OF PATENTS IN EMBEDDED AI MARKET, 2023 83
FIGURE 25 REGIONAL ANALYSIS OF PATENTS GRANTED FOR EMBEDDED AI MARKET, 2023 85
5.7 SUPPLY CHAIN ANALYSIS 86
FIGURE 26 EMBEDDED AI MARKET: SUPPLY CHAIN ANALYSIS 86
TABLE 14 EMBEDDED AI MARKET: SUPPLY CHAIN ANALYSIS 87
5.8 FUTURE DIRECTIONS OF EMBEDDED AI MARKET LANDSCAPE 88
5.8.1 TECHNOLOGY ROADMAP FOR EMBEDDED AI MARKET UNTIL 2030 88
FIGURE 27 EMBEDDED AI ROADMAP UNTIL 2030 88
5.9 PRICING ANALYSIS 89
TABLE 15 AVERAGE SELLING PRICE ANALYSIS, BY OFFERING 90
5.10 KEY COMPONENTS OF EMBEDDED AI ARCHITECTURE 91
FIGURE 28 EMBEDDED AI ARCHITECTURE 91
5.10.1 MODEL MODULE 91
5.10.2 DATA MODULE 91
5.10.3 COMPUTING POWER MODULE 92
5.11 BRIEF HISTORY OF EMBEDDED AI/EVOLUTION 92
FIGURE 29 EMBEDDED AI MARKET EVOLUTION 92
5.12 TRENDS AND DISRUPTIONS IMPACTING BUYERS/CLIENTS’ BUSINESSES 93
FIGURE 30 EMBEDDED AI MARKET: TRENDS AND DISRUPTIONS IMPACTING BUYERS/CLIENTS’ BUSINESSES 93
5.13 PORTER’S FIVE FORCES ANALYSIS 94
FIGURE 31 EMBEDDED AI MARKET: PORTER’S FIVE FORCES ANALYSIS 94
5.13.1 THREAT OF NEW ENTRANTS 94
5.13.2 THREAT OF SUBSTITUTES 95
5.13.3 BARGAINING POWER OF SUPPLIERS 95
5.13.4 BARGAINING POWER OF BUYERS 95
5.13.5 INTENSITY OF COMPETITIVE RIVALRY 95
5.14 KEY CONFERENCES AND EVENTS, 2023–2024 96
TABLE 16 EMBEDDED AI MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2023–2024 96
 
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA 97
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 97
FIGURE 32 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS 97
TABLE 17 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS 97
5.15.2 BUYING CRITERIA 98
FIGURE 33 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 98
TABLE 18 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 98
5.16 TECHNOLOGY ANALYSIS 98
5.16.1 KEY TECHNOLOGY 99
5.16.1.1 ML and Deep Learning 99
5.16.1.2 Data Science 99
5.16.1.3 Edge Computing 99
5.16.1.4 IoT 100
5.16.1.5 Computer Vision 100
5.16.1.6 Neural Networks 100
5.16.1.7 TensorFlow Lite 101
5.16.2 ADJACENT TECHNOLOGY 101
5.16.2.1 Signal Processing 101
5.16.2.2 Data Mining and Predictive Analysis 101
5.16.2.3 Blockchain 102
5.16.2.4 5G 102
5.17 IMPACT OF EMBEDDED AI ON BUSINESS MODERNIZATION 103
5.17.1 BUSINESS PROCESS AND TASK AUTOMATION 103
5.17.2 ADVANCED PREDICTIVE ANALYTICS 103
5.17.3 INTELLIGENT DECISION-MAKING 104
5.17.4 STREAMLINED CUSTOMER EXPERIENCE 104
5.18 BUSINESS MODEL ANALYSIS 105
FIGURE 34 EMBEDDED AI MARKET: BUSINESS MODELS 105
5.18.1 BUSINESS MODELS FOR HARDWARE VENDORS 105
5.18.2 BUSINESS MODELS FOR SOFTWARE PROVIDERS 106
5.18.3 BUSINESS MODELS FOR SERVICE PROVIDERS 106
6 EMBEDDED AI MARKET, BY OFFERING 107
6.1 INTRODUCTION 108
6.1.1 OFFERING: EMBEDDED AI MARKET DRIVERS 108
FIGURE 35 SOFTWARE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 108
TABLE 19 EMBEDDED AI MARKET, BY OFFERING, 2017–2022 (USD MILLION) 109
TABLE 20 EMBEDDED AI MARKET, BY OFFERING, 2023–2028 (USD MILLION) 109
 
6.2 HARDWARE 109
FIGURE 36 AI ACCELERATORS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 110
TABLE 21 EMBEDDED AI MARKET, BY HARDWARE, 2017–2022 (USD MILLION) 110
TABLE 22 EMBEDDED AI MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 110
6.2.1 PROCESSORS 111
TABLE 23 PROCESSORS: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 111
TABLE 24 PROCESSORS: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 111
6.2.1.1 GPUs 112
6.2.1.1.1 Exceptional computational power and parallel processing capabilities to propel demand for GPUs 112
6.2.1.2 FPGAs 112
6.2.1.2.1 Need for flexibility to effortlessly program and reconfigure to drive demand for FPGAs 112
6.2.1.3 NPUs 113
6.2.1.3.1 Need for optimized architectures and parallel processing to provide exceptional performance per watt to boost demand for NPUs 113
6.2.1.4 Other processors 113
6.2.2 MEMORY UNITS 114
TABLE 25 MEMORY UNITS: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 114
TABLE 26 MEMORY UNITS: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 114
6.2.2.1 Random Access Memory (RAM) 115
6.2.2.1.1 Need for faster data access and quick analysis and response within device to drive demand for RAM 115
6.2.2.2 Flash Memory 115
6.2.2.2.1 Need to process data locally, reduce constant connectivity, and enable real-time decision-making to boost demand for flash memory 115
6.2.2.3 ROM 116
6.2.2.3.1 Need to preserve authenticity of critical software components and cost-effective storage solution to drive demand for ROM 116
6.2.2.4 Other memory units 116
6.2.3 AI ACCELERATORS 117
TABLE 27 AI ACCELERATORS: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 117
TABLE 28 AI ACCELERATORS: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 117
6.2.3.1 Tensor Processing Units (TPUs) 118
6.2.3.1.1 TPUs to optimize large-scale neural network processing and matrix operations and offer faster inference and training times 118
6.2.3.2 Neural Network Accelerators 118
6.2.3.2.1 Neural network accelerators to perform AI tasks with less power by transferring computational load from general-purpose processors to dedicated AI chips 118
6.2.4 OTHER HARDWARE 118
TABLE 29 OTHER HARDWARE: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 119
TABLE 30 OTHER HARDWARE: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 119
6.3 SOFTWARE 119
FIGURE 37 AI MIDDLEWARE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 120
TABLE 31 EMBEDDED AI MARKET, BY SOFTWARE, 2017–2022 (USD MILLION) 120
TABLE 32 EMBEDDED AI MARKET, BY SOFTWARE, 2023–2028 (USD MILLION) 120
6.3.1 AI MIDDLEWARE 121
6.3.1.1 AI Middleware to offer tools and frameworks for efficient model management and inference at edge 121
TABLE 33 AI MIDDLEWARE: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 121
TABLE 34 AI MIDDLEWARE: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 121
6.3.2 AI & ML FRAMEWORKS 122
6.3.2.1 Need for model optimization and integration of AI frameworks with edge computing architectures to drive market 122
TABLE 35 AI & ML FRAMEWORKS: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 122
TABLE 36 AI & ML FRAMEWORKS: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 123
6.3.3 EDGE COMPUTING PLATFORMS 123
6.3.3.1 Edge computing platforms to support edge AI applications, simplify data processing and analytics, and seamlessly integrate with edge devices 123
TABLE 37 EDGE COMPUTING PLATFORMS: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 124
TABLE 38 EDGE COMPUTING PLATFORMS: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 124
6.3.4 OTHER SOFTWARE 124
TABLE 39 OTHER SOFTWARE: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 125
TABLE 40 OTHER SOFTWARE: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 125
6.4 SERVICES 125
FIGURE 38 TRAINING & CONSULTING SERVICES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 126
TABLE 41 SERVICES: EMBEDDED AI MARKET, BY TYPE, 2017–2022 (USD MILLION) 126
TABLE 42 SERVICES: EMBEDDED AI MARKET, BY TYPE, 2023–2028 (USD MILLION) 126
 
6.4.1 TRAINING & CONSULTING 127
6.4.1.1 Training & consulting services to play vital role in managing operations and technological updates 127
TABLE 43 TRAINING & CONSULTING: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 127
TABLE 44 TRAINING & CONSULTING: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 127
6.4.2 SYSTEM INTEGRATION & IMPLEMENTATION 128
6.4.2.1 System integration & implementation services to gain traction to ensure effective system communication 128
TABLE 45 SYSTEM INTEGRATION & IMPLEMENTATION: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 128
TABLE 46 SYSTEM INTEGRATION & IMPLEMENTATION: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 128
6.4.3 SUPPORT & MAINTENANCE 129
6.4.3.1 Rising demand for support & maintenance services to ensure optimal performance 129
TABLE 47 SUPPORT & MAINTENANCE: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 129
TABLE 48 SUPPORT & MAINTENANCE: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 129
7 EMBEDDED AI MARKET, BY DATA TYPE 130
7.1 INTRODUCTION 131
7.1.1 DATA TYPE: EMBEDDED AI MARKET DRIVERS 131
FIGURE 39 NUMERIC DATA SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 131
TABLE 49 EMBEDDED AI MARKET, BY DATA TYPE, 2017–2022 (USD MILLION) 132
TABLE 50 EMBEDDED AI MARKET, BY DATA TYPE, 2023–2028 (USD MILLION) 132
7.2 SENSOR DATA 132
7.2.1 COMBINATION OF EMBEDDED AI AND EDGE AI TO FUEL GROWTH OF SENSOR DATA 132
TABLE 51 SENSOR DATA: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 133
TABLE 52 SENSOR DATA: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 133
7.3 IMAGE & VIDEO DATA 133
7.3.1 INCREASING AVAILABILITY AND AFFORDABILITY OF CAMERAS AND CONSUMPTION OF VISUAL CONTENT TO DRIVE MARKET 133
TABLE 53 IMAGE & VIDEO DATA: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 134
TABLE 54 IMAGE & VIDEO DATA: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 134
7.4 NUMERIC DATA 134
7.4.1 PROLIFERATION OF SENSORS AND CONNECTED DEVICES TO DRIVE DEMAND FOR NUMERIC DATA 134
TABLE 55 NUMERIC DATA: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 135
TABLE 56 NUMERIC DATA: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 135
7.5 CATEGORICAL DATA 136
7.5.1 NEED TO DETECT AND CLASSIFY OBJECTS, RECOGNIZE GESTURES, AND IDENTIFY SPECIFIC PATTERNS TO DRIVE MARKET 136
TABLE 57 CATEGORICAL DATA: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 136
TABLE 58 CATEGORICAL DATA: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 136
7.6 OTHER DATA TYPES 137
TABLE 59 OTHER DATA TYPES: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 137
TABLE 60 OTHER DATA TYPES: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 137
8 EMBEDDED AI MARKET, BY VERTICAL 138
8.1 INTRODUCTION 139
8.1.1 VERTICAL: EMBEDDED AI MARKET DRIVERS 139
FIGURE 40 HEALTHCARE & LIFE SCIENCES VERTICAL TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD 140
TABLE 61 EMBEDDED AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 140
TABLE 62 EMBEDDED AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 141
8.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 141
TABLE 63 BANKING, FINANCIAL SERVICES, AND INSURANCE: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 141
TABLE 64 BANKING, FINANCIAL SERVICES, AND INSURANCE: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 142
8.2.1 FRAUD DETECTION & PREVENTION 142
8.2.1.1 Need to detect and mitigate fraudulent activities and safeguard financial institutions to drive market 142
8.2.2 RISK MANAGEMENT 142
8.2.2.1 Embedded AI to analyze transactional data in real time, enabling accurate risk identification and fraud prevention 142
8.2.3 CUSTOMER SERVICE 143
8.2.3.1 Embedded AI to create virtual assistants or chatbots for automated customer support 143
8.2.4 COMPLIANCE & REGULATORY REPORTING 143
8.2.4.1 Embedded AI to streamline reporting process, reduce human error, and ensure accurate and timely submission of reports 143
8.2.5 OTHER BANKING, FINANCIAL SERVICES, AND INSURANCE TYPES 143
8.3 IT & ITES 144
TABLE 65 IT & ITES: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 144
TABLE 66 IT & ITES: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 144
8.3.1 INTELLIGENT AUTOMATION 145
8.3.1.1 Intelligent automation to provide automated responses by utilizing pre-defined templates or accessing knowledge base 145
8.3.2 CYBERSECURITY 145
8.3.2.1 Incorporation of embedded AI into cybersecurity measures to help IT companies detect and respond to cyber threats effectively 145
8.3.3 CUSTOMER SERVICE 146
8.3.3.1 Embedded AI to analyze customer sentiment by assessing tone and context of customer interactions 146
8.3.4 PREDICTIVE ANALYTICS 146
8.3.4.1 Need to monitor and analyze data points and raise alerts and notifications to drive demand for embedded AI in proactive analytics 146
8.3.5 SUPPLY CHAIN MANAGEMENT 147
8.3.5.1 Need to manage inventory, reduce excess stock, and ensure timely replenishment to drive demand for embedded AI in supply chain management 147
8.4 RETAIL & ECOMMERCE 147
TABLE 67 RETAIL & ECOMMERCE: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 147
TABLE 68 RETAIL & ECOMMERCE: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 148
8.4.1 PERSONALIZED RECOMMENDATIONS 148
8.4.1.1 Utilization of embedded AI in personalized recommendations to improve customer experience and drive sales 148
8.4.2 INVENTORY MANAGEMENT 148
8.4.2.1 Embedded AI to automate tasks and provide intelligent insights in inventory management 148
8.4.3 PRICING OPTIMIZATION 149
8.4.3.1 Embedded AI to automate pricing optimization process and predict customer demand and price elasticity accurately 149
8.4.4 FRAUD DETECTION & PREVENTION 149
8.4.4.1 Embedded AI to detect fraud in real time and provide comprehensive view of customer activities 149
8.4.5 OTHER RETAIL & ECOMMERCE TYPES 149
8.5 MANUFACTURING 150
TABLE 69 MANUFACTURING: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 150
TABLE 70 MANUFACTURING: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 151
8.5.1 PREDICTIVE MAINTENANCE 151
8.5.1.1 Embedded AI to aid in predictive maintenance by analyzing data and enabling proactive and timely maintenance actions 151
8.5.2 WASTE MANAGEMENT 151
8.5.2.1 Embedded AI to help avoid unplanned downtime and prevent waste generated by faulty machinery 151
8.5.3 AUTOMATION & ROBOTICS 152
8.5.3.1 Embedded AI to aid robots in analyzing data, making decisions, executing tasks faster, and reducing human error 152
8.5.4 QUALITY CONTROL & INSPECTION 152
8.5.4.1 AI technology to enhance quality control and inspection processes 152
8.5.5 PRODUCT DESIGN & OPTIMIZATION 153
8.5.5.1 Embedded AI to provide intelligent insights and optimize product designs before creating physical prototypes 153
8.5.6 OTHER MANUFACTURING TYPES 153
8.6 ENERGY & UTILITIES 154
TABLE 71 ENERGY & UTILITIES: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 154
TABLE 72 ENERGY & UTILITIES: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 154
8.6.1 ENERGY MANAGEMENT 155
8.6.1.1 Embedded AI to monitor, analyze, and control energy use in real time and help prevent grid strain and power outages 155
8.6.2 PREDICTIVE MAINTENANCE 155
8.6.2.1 Leveraging AI algorithms in predictive maintenance to help determine optimal time for maintenance activities 155
8.6.3 RENEWAL ENERGY OPTIMIZATION 156
8.6.3.1 Embedded AI to analyze historical data, weather patterns, and other relevant factors to forecast energy demand accurately 156
8.6.4 OTHER ENERGY & UTILITIES TYPES 156
8.7 TRANSPORTATION & LOGISTICS 157
TABLE 73 TRANSPORTATION & LOGISTICS: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 157
TABLE 74 TRANSPORTATION & LOGISTICS: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 157
8.7.1 ROUTE OPTIMIZATION 158
8.7.1.1 Embedded AI to help monitor real-time data and minimize travel time and fuel consumption 158
8.7.2 INVENTORY MANAGEMENT 158
8.7.2.1 Need to improve operational efficiency and analyze historical data and market trends to drive demand for embedded AI in inventory management 158
8.7.3 AUTONOMOUS VEHICLES 158
8.7.3.1 Embedded AI to optimize routes, make real-time adjustments, and reduce fuel consumption 158
8.7.4 FREIGHT MANAGEMENT 159
8.7.4.1 Embedded AI to facilitate real-time monitoring of freight shipments and improve operational efficiency 159
8.7.5 OTHER TRANSPORTATION & LOGISTICS TYPES 159
8.8 HEALTHCARE & LIFE SCIENCES 160
TABLE 75 HEALTHCARE & LIFE SCIENCES: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 160
TABLE 76 HEALTHCARE & LIFE SCIENCES: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 160
8.8.1 MEDICAL DIAGNOSIS 161
8.8.1.1 Embedded AI to analyze vast amounts of patient data and aid in accurate diagnosis and treatment planning 161
 
8.8.2 DRUG DISCOVERY 161
8.8.2.1 Embedded AI to accelerate and optimize drug discovery and analyze vast amounts of drugs to identify potential drug targets 161
8.8.3 PERSONALIZED MEDICINE 162
8.8.3.1 Embedded AI to interpret genomic data, predict disease risk, and provide personalized diagnostic recommendations 162
8.8.4 REMOTE PATIENT MONITORING 162
8.8.4.1 RPM empowered by embedded AI to monitor patients' health conditions and collect real-time data 162
8.8.5 OTHER HEALTHCARE & LIFE SCIENCES TYPES 162
8.9 MEDIA & ENTERTAINMENT 163
TABLE 77 MEDIA & ENTERTAINMENT: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 163
TABLE 78 MEDIA & ENTERTAINMENT: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 164
8.9.1 CONTENT CREATION 164
8.9.1.1 Embedded AI to transform content creation, provide innovative tools, and improve quality, efficiency, and personalization of media experiences 164
8.9.2 CONTENT ANALYTICS 164
8.9.2.1 Embedded AI to automate content analytics by analyzing and comprehending extensive volumes of media content 164
8.9.3 AR & VR 165
8.9.3.1 AR and VR technologies to revolutionize Media & Entertainment industry by providing enhanced user experiences 165
8.9.4 OTHER MEDIA & ENTERTAINMENT TYPES 165
8.10 TELECOM 166
TABLE 79 TELECOM: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 166
TABLE 80 TELECOM: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 166
8.10.1 NETWORK OPTIMIZATION 167
8.10.1.1 Embedded AI to analyze network traffic patterns in real time, reduce latency, and improve network responsiveness 167
8.10.2 NETWORK SECURITY 167
8.10.2.1 Embedded AI to process and understand unstructured data and monitor network traffic and identify abnormal patterns 167
8.10.3 QUERY MANAGEMENT 167
8.10.3.1 Telecom providers to leverage AI capabilities to deliver personalized, efficient, and proactive customer support 167
8.10.4 FRAUD DETECTION & PREVENTION 168
8.10.4.1 Embedded AI to help telecom companies proactively update fraud prevention strategies by analyzing vast amounts of data 168
8.10.5 OTHER TELECOM TYPES 168
 
8.11 AUTOMOTIVE 169
TABLE 81 AUTOMOTIVE: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 169
TABLE 82 AUTOMOTIVE: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 170
8.11.1 SELF DRIVING CARS 170
8.11.1.1 Embedded AI technology to analyze traffic patterns, road rules, and situational factors 170
8.11.2 FLEET MANAGEMENT 170
8.11.2.1 Embedded AI to help in tracking and monitoring vehicles in real time and intelligent decision-making 170
8.11.3 ENERGY EFFICIENCY & EMISSIONS CONTROL 171
8.11.3.1 Embedded AI to optimize power distribution and overall energy consumption and improve battery utilization 171
8.11.4 VEHICLE INFOTAINMENT 171
8.11.4.1 Embedded AI incorporated with NLP to enable natural language commands and provide connected services 171
8.11.5 OTHER AUTOMOTIVE TYPES 172
8.12 OTHER VERTICALS 172
TABLE 83 OTHER VERTICALS: EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 174
TABLE 84 OTHER VERTICALS: EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 174
9 EMBEDDED AI MARKET, BY REGION 175
9.1 INTRODUCTION 176
FIGURE 41 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 176
FIGURE 42 INDIA TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 177
TABLE 85 EMBEDDED AI MARKET, BY REGION, 2017–2022 (USD MILLION) 177
TABLE 86 EMBEDDED AI MARKET, BY REGION, 2023–2028 (USD MILLION) 177
9.2 NORTH AMERICA 178
9.2.1 NORTH AMERICA: EMBEDDED AI MARKET DRIVERS 178
9.2.2 NORTH AMERICA: RECESSION IMPACT 178
FIGURE 43 NORTH AMERICA: MARKET SNAPSHOT 179
TABLE 87 NORTH AMERICA: EMBEDDED AI MARKET, BY OFFERING, 2017–2022 (USD MILLION) 179
TABLE 88 NORTH AMERICA: EMBEDDED AI MARKET, BY OFFERING, 2023–2028 (USD MILLION) 180
TABLE 89 NORTH AMERICA: EMBEDDED AI MARKET, BY HARDWARE, 2017–2022 (USD MILLION) 180
TABLE 90 NORTH AMERICA: EMBEDDED AI MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 180
TABLE 91 NORTH AMERICA: EMBEDDED AI MARKET, BY SOFTWARE, 2017–2022 (USD MILLION) 180
TABLE 92 NORTH AMERICA: EMBEDDED AI MARKET, BY SOFTWARE, 2023–2028 (USD MILLION) 181
TABLE 93 NORTH AMERICA: EMBEDDED AI MARKET, BY SERVICE, 2017–2022 (USD MILLION) 181
TABLE 94 NORTH AMERICA: EMBEDDED AI MARKET, BY SERVICE, 2023–2028 (USD MILLION) 181
TABLE 95 NORTH AMERICA: EMBEDDED AI MARKET, BY DATA TYPE, 2017–2022 (USD MILLION) 181
TABLE 96 NORTH AMERICA: EMBEDDED AI MARKET, BY DATA TYPE, 2023–2028 (USD MILLION) 182
TABLE 97 NORTH AMERICA: EMBEDDED AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 182
TABLE 98 NORTH AMERICA: EMBEDDED AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 183
TABLE 99 NORTH AMERICA: EMBEDDED AI MARKET, BY COUNTRY, 2017–2022 (USD MILLION) 183
TABLE 100 NORTH AMERICA: EMBEDDED AI MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 183
9.2.3 US 184
9.2.3.1 Rising technological advancements and deals focusing on AI development to drive market 184
9.2.4 CANADA 184
9.2.4.1 Strong tech ecosystem, presence of numerous startups, and supportive government initiatives to drive market 184
9.3 EUROPE 185
9.3.1 EUROPE: EMBEDDED AI MARKET DRIVERS 185
9.3.2 EUROPE: RECESSION IMPACT 186
TABLE 101 EUROPE: EMBEDDED AI MARKET, BY OFFERING, 2017–2022 (USD MILLION) 186
TABLE 102 EUROPE: EMBEDDED AI MARKET, BY OFFERING, 2023–2028 (USD MILLION) 187
TABLE 103 EUROPE: EMBEDDED AI MARKET, BY HARDWARE, 2017–2022 (USD MILLION) 187
TABLE 104 EUROPE: EMBEDDED AI MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 187
TABLE 105 EUROPE: EMBEDDED AI MARKET, BY SOFTWARE, 2017–2022 (USD MILLION) 187
TABLE 106 EUROPE: EMBEDDED AI MARKET, BY SOFTWARE, 2023–2028 (USD MILLION) 188
TABLE 107 EUROPE: EMBEDDED AI MARKET, BY SERVICE, 2017–2022 (USD MILLION) 188
TABLE 108 EUROPE: EMBEDDED AI MARKET, BY SERVICE, 2023–2028 (USD MILLION) 188
TABLE 109 EUROPE: EMBEDDED AI MARKET, BY DATA TYPE, 2017–2022 (USD MILLION) 188
TABLE 110 EUROPE: EMBEDDED AI MARKET, BY DATA TYPE, 2023–2028 (USD MILLION) 189
TABLE 111 EUROPE: EMBEDDED AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 189
TABLE 112 EUROPE: EMBEDDED AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 190
TABLE 113 EUROPE: EMBEDDED AI MARKET, BY COUNTRY, 2017–2022 (USD MILLION) 190
TABLE 114 EUROPE: EMBEDDED AI MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 190
9.3.3 UK 191
9.3.3.1 Growing demand for interconnected devices and focus on developing cutting-edge technologies to drive market 191
 
9.3.4 GERMANY 191
9.3.4.1 Acquisitions and partnerships between major companies to develop intelligent devices to propel demand for embedded AI 191
9.3.5 FRANCE 192
9.3.5.1 Focus of STMicroelectronics on developing cutting-edge embedded AI solutions to drive market 192
9.3.6 ITALY 192
9.3.6.1 Integration of edge computing and AI capabilities and rising demand from healthcare sector to drive market 192
9.3.7 SPAIN 193
9.3.7.1 Establishment of BSC as European AI-on-demand platform to drive market 193
9.3.8 REST OF EUROPE 193
9.4 ASIA PACIFIC 194
9.4.1 ASIA PACIFIC: EMBEDDED AI MARKET DRIVERS 194
9.4.2 ASIA PACIFIC: RECESSION IMPACT 194
FIGURE 44 ASIA PACIFIC: MARKET SNAPSHOT 195
TABLE 115 ASIA PACIFIC: EMBEDDED AI MARKET, BY OFFERING, 2017–2022 (USD MILLION) 196
TABLE 116 ASIA PACIFIC: EMBEDDED AI MARKET, BY OFFERING, 2023–2028 (USD MILLION) 196
TABLE 117 ASIA PACIFIC: EMBEDDED AI MARKET, BY HARDWARE, 2017–2022 (USD MILLION) 196
TABLE 118 ASIA PACIFIC: EMBEDDED AI MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 196
TABLE 119 ASIA PACIFIC: EMBEDDED AI MARKET, BY SOFTWARE, 2017–2022 (USD MILLION) 197
TABLE 120 ASIA PACIFIC: EMBEDDED AI MARKET, BY SOFTWARE, 2023–2028 (USD MILLION) 197
TABLE 121 ASIA PACIFIC: EMBEDDED AI MARKET, BY SERVICE, 2017–2022 (USD MILLION) 197
TABLE 122 ASIA PACIFIC: EMBEDDED AI MARKET, BY SERVICE, 2023–2028 (USD MILLION) 197
TABLE 123 ASIA PACIFIC: EMBEDDED AI MARKET, BY DATA TYPE, 2017–2022 (USD MILLION) 198
TABLE 124 ASIA PACIFIC: EMBEDDED AI MARKET, BY DATA TYPE, 2023–2028 (USD MILLION) 198
TABLE 125 ASIA PACIFIC: EMBEDDED AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 198
TABLE 126 ASIA PACIFIC: EMBEDDED AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 199
TABLE 127 ASIA PACIFIC: EMBEDDED AI MARKET, BY COUNTRY, 2017–2022 (USD MILLION) 199
TABLE 128 ASIA PACIFIC: EMBEDDED AI MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 200
TABLE 129 ASIA PACIFIC: EMBEDDED AI MARKET, BY ASEAN COUNTRY, 2017–2022 (USD MILLION) 200
TABLE 130 ASIA PACIFIC: EMBEDDED AI MARKET, BY ASEAN COUNTRY, 2023–2028 (USD MILLION) 200
9.4.3 CHINA 201
9.4.3.1 Deals between technical giants to create intelligent devices and government initiatives to adopt embedded AI to drive market 201
9.4.4 INDIA 201
9.4.4.1 National AI Strategy to focus on R&D, skilling and reskilling, and establishing AI centers of excellence 201
9.4.5 JAPAN 202
9.4.5.1 Deployment of AI in diverse sectors and presence of companies and startups specialized in embedded AI to drive market 202
9.4.6 ANZ 202
9.4.6.1 Focus on developing cutting-edge AI solutions and attracting investments to drive demand for embedded AI 202
9.4.7 SOUTH KOREA 203
9.4.7.1 Significant strides in AI research, development, and deployment and focus of companies on developing AI devices to drive market 203
9.4.8 ASEAN COUNTRIES 203
9.4.8.1 Growing digital transformation efforts, expanding technology infrastructure, and increasing demand for AI-enabled applications to drive market 203
9.4.9 REST OF ASIA PACIFIC 204