조사회사 : MarketsandMarkets (마켓츠앤마켓츠) 조사년월 : 2023년07월
임베디드 AI 시장 : 제공 내용(하드웨어, 소프트웨어, 서비스), 데이터 타입(수치 데이터, 카테고리 데이터, 이미지 & 비디오 데이터), 업종별(자동차, 제조, 헬스케어 & 라이프 사이언스, 통신), 지역별 – 2028년까지의 세계 예측
Embedded AI Market by Offering (Hardware, Software, Services), Data Type (Numerical Data, Categorical Data, Image & Video Data), Vertical (Automotive, Manufacturing, Healthcare & Life Sciences, Telecom), and Region – Global Forecast to 2028
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The Embedded AI market is projected to grow from USD 9.4 billion in 2023 to USD 18.0 billion by 2028 at a compound annual growth rate (CAGR) of 14.0% during the forecast period. The market is anticipated to grow due to the growing demand for intelligent and autonomous systems for a personalized experience and increasing advancements in AI and ML technologies for better and smart decisions.
임베디드 AI 시장은 2023년 94억 달러에서 2028년까지 180억 달러로 예측 기간 동안 14.0%의 연평균 성장률(CAGR)로 성장할 것으로 예상됩니다. 개인화된 경험을 위한 지능적이고 자율적인 시스템에 대한 수요가 증가하고 더 나은 현명한 결정을 위한 AI 및 ML 기술의 발전으로 인해 시장이 성장할 것으로 예상됩니다.
By offering the hardware segment to hold the largest market size during the forecast period
The hardware segment of the embedded AI market is growing rapidly due to the increasing demand for AI-powered devices and applications. Embedded AI hardware plays a critical role in the market by providing the necessary computing power and specialized capabilities to support AI applications directly on embedded systems. Embedded AI hardware can be customized and integrated into specific embedded systems, ensuring seamless compatibility and efficient utilization of resources. This allows hardware vendors and system designers to tailor the AI hardware to meet the specific requirements of the target application, achieving optimal performance and functionality.
By vertical, the healthcare and life sciences segment to have the highest CAGR during the forecast period
Across the healthcare and life science sector, embedded AI is used in medical devices and equipment for diagnostics, patient monitoring, personalized medicine, and data analysis. AI algorithms embedded in medical devices help in the early detection of diseases, decision support for clinicians, and remote patient monitoring. Embedded AI adoption in the healthcare and life sciences industry has grown rapidly, driven by the potential to improve patient outcomes, enhance efficiency, and enable personalized medicine.
North America to witness fastest growing market size during the forecast period
North America is experiencing significant technological growth in the Embedded AI market, driven by various factors shaping the landscape of intelligent and connected devices. Embedded AI adoption in North America is gaining momentum across industries, driven by technological advancements, the rise of IoT, a supportive ecosystem, and increasing awareness of its benefits. The region is witnessing a proliferation of intelligent edge devices and innovative applications that leverage Embedded AI, contributing to the transformation of various
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 social media management market.
By Company: Tier I: 38%, Tier II: 50%, and Tier III: 12%
By Designation: C-Level Executives: 35%, D-Level Executives: 40%, and Managers: 25%
By Region: North America: 40%, Asia Pacific: 20%, Europe: 30%, and Middle East Africa:5% and Latin America- 5%
The report includes the study of key players offering embedded AI solutions. It profiles major vendors in the Embedded AI market. The major players in the Embedded AI market include Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (Netherlands), Lattice (Oregon), Octonion (Switzerland), NeuroPace (US), Siemens (Germany), HPE (US), LUIS Technology (Germany), Code Time Technologies (Canada), HiSilicon (China), VectorBlox (Canada), Au-Zone Technologies (Canada), STMicroelectronics (Switzerland), SenseTime (Hong Kong), Edge Impulse (US), Perceive (US), Eta Compute (US), SensiML (US), Syntiant (US), Graphcore (UK), and SiMa.ai (US).
Research coverage
The research study for the Embedded AI market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred embedded AI providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.
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 Embedded AI 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.
The report provides insights on the following pointers:
• Analysis of key drivers (Growing demand for intelligent and autonomous systems for a personalized experience, increasing advancements in AI and ML technologies for better and smart decisions, the proliferation of connected devices and IoT ecosystem for effective communications, rising usage of embedded AI for industry-specific applications), restraints (Concerns related to data privacy and security, shortage of skilled and talented workforce), opportunities (Rise in demand for more powerful and energy-efficient processors to effectively handle complex AI algorithms, integration with cloud-based AI services for better scalability), and challenges (Inadequate computational resources and model optimization, high infrastructure costs with lower ROI).
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the Embedded AI market
• Market Development: Comprehensive information about lucrative markets – the report analyses the Embedded AI market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the Embedded AI market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), among others in the Embedded AI market strategies. The report also helps stakeholders understand the pulse of the Embedded AI market and provides them with information on key market drivers, restraints, challenges, and opportunities.
목차
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
9.5 MIDDLE EAST & AFRICA 204
9.5.1 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET DRIVERS 205
9.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT 205
TABLE 131 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY OFFERING, 2017–2022 (USD MILLION) 205
TABLE 132 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY OFFERING, 2023–2028 (USD MILLION) 205
TABLE 133 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY HARDWARE, 2017–2022 (USD MILLION) 206
TABLE 134 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 206
TABLE 135 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY SOFTWARE, 2017–2022 (USD MILLION) 206
TABLE 136 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY SOFTWARE, 2023–2028 (USD MILLION) 207
TABLE 137 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY SERVICE, 2017–2022 (USD MILLION) 207
TABLE 138 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY SERVICE, 2023–2028 (USD MILLION) 207
TABLE 139 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY DATA TYPE, 2017–2022 (USD MILLION) 208
TABLE 140 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY DATA TYPE, 2023–2028 (USD MILLION) 208
TABLE 141 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 209
TABLE 142 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 209
TABLE 143 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY COUNTRY, 2017–2022 (USD MILLION) 210
TABLE 144 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 210
9.5.3 UAE 210
9.5.3.1 Government initiatives to promote advancement of technology and innovation to drive demand for embedded AI 210
9.5.4 SAUDI ARABIA 211
9.5.4.1 Supportive government regulations and investment in technology to boost demand for embedded AI 211
9.5.5 SOUTH AFRICA 211
9.5.5.1 Need for real-time data analysis, reduced latency, and enhanced data privacy to propel demand for embedded AI 211
9.5.6 ISRAEL 212
9.5.6.1 Thriving startup ecosystem, robust R&D capabilities, and supportive government initiatives to drive market 212
9.5.7 REST OF MIDDLE EAST & AFRICA 212
9.6 LATIN AMERICA 213
9.6.1 LATIN AMERICA: EMBEDDED AI MARKET DRIVERS 213
9.6.2 LATIN AMERICA: RECESSION IMPACT 214
TABLE 145 LATIN AMERICA: EMBEDDED AI MARKET, BY OFFERING, 2017–2022 (USD MILLION) 214
TABLE 146 LATIN AMERICA: EMBEDDED AI MARKET, BY OFFERING, 2023–2028 (USD MILLION) 214
TABLE 147 LATIN AMERICA: EMBEDDED AI MARKET, BY HARDWARE, 2017–2022 (USD MILLION) 214
TABLE 148 LATIN AMERICA: EMBEDDED AI MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 215
TABLE 149 LATIN AMERICA: EMBEDDED AI MARKET, BY SOFTWARE, 2017–2022 (USD MILLION) 215
TABLE 150 LATIN AMERICA: EMBEDDED AI MARKET, BY SOFTWARE, 2023–2028 (USD MILLION) 215
TABLE 151 LATIN AMERICA: EMBEDDED AI MARKET, BY SERVICE, 2017–2022 (USD MILLION) 215
TABLE 152 LATIN AMERICA: EMBEDDED AI MARKET, BY SERVICE, 2023–2028 (USD MILLION) 216
TABLE 153 LATIN AMERICA: EMBEDDED AI MARKET, BY DATA TYPE, 2017–2022 (USD MILLION) 216
TABLE 154 LATIN AMERICA: EMBEDDED AI MARKET, BY DATA TYPE, 2023–2028 (USD MILLION) 216
TABLE 155 LATIN AMERICA: EMBEDDED AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 217
TABLE 156 LATIN AMERICA: EMBEDDED AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 217
TABLE 157 LATIN AMERICA: EMBEDDED AI MARKET, BY COUNTRY, 2017–2022 (USD MILLION) 218
TABLE 158 LATIN AMERICA: EMBEDDED AI MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 218
9.6.3 BRAZIL 218
9.6.3.1 Favorable government initiatives and focus on implementing AI technologies to drive market 218
9.6.4 MEXICO 219
9.6.4.1 Technological advancements, demand for innovative startups and investments, and rising adoption of AI-powered solutions to drive market 219
9.6.5 ARGENTINA 219
9.6.5.1 Focus of startups and companies on developing ML, computer vision, and NLP to drive market 219
9.6.6 REST OF LATIN AMERICA 220
10 COMPETITIVE LANDSCAPE 221
10.1 OVERVIEW 221
10.2 STRATEGIES ADOPTED BY KEY PLAYERS 221
TABLE 159 OVERVIEW OF STRATEGIES ADOPTED BY KEY EMBEDDED AI VENDORS 221
10.3 REVENUE ANALYSIS 224
10.3.1 HISTORIC REVENUE ANALYSIS 224
FIGURE 45 HISTORIC REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2020–2022 (USD BILLION) 224
10.4 MARKET SHARE ANALYSIS 225
FIGURE 46 MARKET SHARE ANALYSIS FOR KEY COMPANIES IN 2022 225
TABLE 160 EMBEDDED AI MARKET: DEGREE OF COMPETITION 225
10.5 COMPANY EVALUATION MATRIX, 2022 226
10.5.1 STARS 226
10.5.2 EMERGING LEADERS 226
10.5.3 PERVASIVE PLAYERS 226
10.5.4 PARTICIPANTS 226
FIGURE 47 EMBEDDED AI MARKET: COMPANY EVALUATION MATRIX FOR KEY PLAYERS, 2022 227
10.6 COMPETITIVE BENCHMARKING 228
TABLE 161 EMBEDDED AI MARKET: OVERALL FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022 228
TABLE 162 EMBEDDED AI MARKET: OVERALL FOOTPRINT ANALYSIS OF OTHER KEY PLAYERS, 2022 229
10.7 STARTUP/SME EVALUATION MATRIX, 2022 230
10.7.1 PROGRESSIVE COMPANIES 230
10.7.2 RESPONSIVE COMPANIES 230
10.7.3 DYNAMIC COMPANIES 230
10.7.4 STARTING BLOCKS 230
FIGURE 48 EMBEDDED AI PLAYERS: COMPANY EVALUATION MATRIX FOR STARTUPS/ SMES, 2022 231
10.8 STARTUP/SME COMPETITIVE BENCHMARKING 232
TABLE 163 EMBEDDED AI MARKET: DETAILED LIST OF KEY STARTUPS/SMES 232
TABLE 164 EMBEDDED AI MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/SMES, 2022 233
10.9 EMBEDDED AI PRODUCT LANDSCAPE 233
10.9.1 COMPARATIVE ANALYSIS OF EMBEDDED AI PRODUCTS 233
TABLE 165 COMPARATIVE ANALYSIS OF TRENDING EMBEDDED AI PRODUCTS 233
TABLE 166 COMPARATIVE ANALYSIS OF OTHER EMBEDDED AI PRODUCTS 234
10.10 VALUATION AND FINANCIAL METRICS OF KEY EMBEDDED AI VENDORS 235
FIGURE 49 FINANCIAL METRICS OF KEY EMBEDDED AI VENDORS 235
FIGURE 50 YTD PRICE TOTAL RETURN AND STOCK BETA OF KEY EMBEDDED AI VENDORS 235
10.11 COMPETITIVE SCENARIO AND TRENDS 236
10.11.1 PRODUCT LAUNCHES AND ENHANCEMENTS 236
TABLE 167 PRODUCT LAUNCHES, 2022–2023 236
10.11.2 DEALS 242
TABLE 168 DEALS, 2021–2023 242
11 COMPANY PROFILES 249
11.1 INTRODUCTION 249
(Business overview, Products/Solutions/Services offered, Recent Developments, MNM view)*
11.2 KEY PLAYERS 249
11.2.1 GOOGLE 249
TABLE 169 GOOGLE: BUSINESS OVERVIEW 250
FIGURE 51 GOOGLE: COMPANY SNAPSHOT 250
TABLE 170 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 251
TABLE 171 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS 251
TABLE 172 GOOGLE: DEALS 252
11.2.2 IBM 254
TABLE 173 IBM: BUSINESS OVERVIEW 254
FIGURE 52 IBM: COMPANY SNAPSHOT 255
TABLE 174 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 255
TABLE 175 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS 256
TABLE 176 IBM: DEALS 256
11.2.3 MICROSOFT 258
TABLE 177 MICROSOFT: BUSINESS OVERVIEW 258
FIGURE 53 MICROSOFT: COMPANY SNAPSHOT 259
TABLE 178 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 259
TABLE 179 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS 261
TABLE 180 MICROSOFT: DEALS 261
11.2.4 AWS 263
TABLE 181 AWS: BUSINESS OVERVIEW 263
FIGURE 54 AWS: COMPANY SNAPSHOT 264
TABLE 182 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 264
TABLE 183 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS 265
TABLE 184 AWS: DEALS 266
11.2.5 NVIDIA 268
TABLE 185 NVIDIA: BUSINESS OVERVIEW 268
FIGURE 55 NVIDIA: COMPANY SNAPSHOT 269
TABLE 186 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 269
TABLE 187 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS 270
TABLE 188 NVIDIA: DEALS 271
11.2.6 INTEL 273
TABLE 189 INTEL: BUSINESS OVERVIEW 273
FIGURE 56 INTEL: COMPANY SNAPSHOT 274
TABLE 190 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED 274
TABLE 191 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS 276
TABLE 192 INTEL: DEALS 277
11.2.7 QUALCOMM 279
TABLE 193 QUALCOMM: BUSINESS OVERVIEW 279
FIGURE 57 QUALCOMM: COMPANY SNAPSHOT 280
TABLE 194 QUALCOMM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 280
TABLE 195 QUALCOMM: PRODUCT LAUNCHES AND ENHANCEMENTS 281
TABLE 196 QUALCOMM: DEALS 282
11.2.8 ARM 283
TABLE 197 ARM: BUSINESS OVERVIEW 283
TABLE 198 ARM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 283
TABLE 199 ARM: PRODUCT LAUNCHES AND ENHANCEMENTS 284
TABLE 200 ARM: DEALS 285
11.2.9 AMD 286
TABLE 201 AMD: BUSINESS OVERVIEW 286
FIGURE 58 AMD: COMPANY SNAPSHOT 287
TABLE 202 AMD: PRODUCTS/SOLUTIONS/SERVICES OFFERED 287
TABLE 203 AMD: PRODUCT LAUNCHES AND ENHANCEMENTS 288
TABLE 204 AMD: DEALS 289
11.2.10 MEDIATEK 290
TABLE 205 MEDIATEK: BUSINESS OVERVIEW 290
FIGURE 59 MEDIATEK: COMPANY SNAPSHOT 291
TABLE 206 MEDIATEK: PRODUCTS/SOLUTIONS/SERVICES OFFERED 291
TABLE 207 MEDIATEK: PRODUCT LAUNCHES AND ENHANCEMENTS 292
TABLE 208 MEDIATEK: DEALS 293
11.2.11 ORACLE 294
TABLE 209 ORACLE: BUSINESS OVERVIEW 294
FIGURE 60 ORACLE: COMPANY SNAPSHOT 295
TABLE 210 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 295
TABLE 211 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS 296
TABLE 212 ORACLE: DEALS 296
*Details on Business overview, Products/Solutions/Services offered, Recent Developments, MNM view might not be captured in case of unlisted companies.
11.3 OTHER KEY PLAYERS 297
11.3.1 SALESFORCE 297
11.3.2 NXP 297
11.3.3 LATTICE SEMICONDUCTOR 298
11.3.4 OCTONION 298
11.3.5 NEUROPACE 299
11.3.6 SIEMENS 299
11.3.7 HPE 300
11.3.8 LUIS TECHNOLOGY 300
11.3.9 CODE TIME TECHNOLOGIES 301
11.3.10 HISILICON 301
11.3.11 VECTORBLOX 302
11.3.12 AU-ZONE TECHNOLOGIES 302
11.3.13 STMICROELECTRONICS 303
11.3.14 SENSETIME 303
11.4 STARTUP/SME PROFILES 304
11.4.1 EDGE IMPULSE 304
11.4.2 PERCEIVE 304
11.4.3 ETA COMPUTE 305
11.4.4 SENSIML 305
11.4.5 SYNTIANT 306
11.4.6 GRAPHCORE 306
11.4.7 SIMA.AI 307
12 ADJACENT AND RELATED MARKETS 308
12.1 INTRODUCTION 308
12.2 EDGE AI SOFTWARE MARKET – GLOBAL FORECAST TO 2027 308
12.2.1 MARKET DEFINITION 308
12.2.2 MARKET OVERVIEW 308
12.2.2.1 Edge AI software market, by component 308
TABLE 213 EDGE AI SOFTWARE MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 309
TABLE 214 EDGE AI SOFTWARE MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 309
12.2.2.2 Edge AI software market, by data source 309
TABLE 215 EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2018–2021 (USD MILLION) 309
TABLE 216 EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2022–2027 (USD MILLION) 310
12.2.2.3 Edge AI software market, by organization size 310
TABLE 217 EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 310
12.2.2.4 Edge AI software market, by vertical 311
TABLE 219 EDGE AI SOFTWARE MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 311
TABLE 220 EDGE AI SOFTWARE MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 312
12.2.2.5 Edge AI software market, by region 312
TABLE 221 EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 312
TABLE 222 EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 313
12.3 ARTIFICIAL INTELLIGENCE MARKET – GLOBAL FORECAST TO 2027 313
12.3.1 MARKET DEFINITION 313
12.3.2 MARKET OVERVIEW 313
12.3.2.1 Artificial intelligence market, by offering 313
TABLE 223 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION) 314
TABLE 224 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION) 314
12.3.2.2 Artificial intelligence market, by technology 314
TABLE 225 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION) 314
TABLE 226 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION) 315
12.3.2.3 Artificial intelligence market, by deployment mode 315
TABLE 227 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION) 315
TABLE 228 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION) 315
12.3.2.4 Artificial intelligence market, by organization size 316
TABLE 229 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2016–2021 (USD BILLION) 316
TABLE 230 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2022–2027 (USD BILLION) 316
12.3.2.5 Artificial intelligence market, by business function 316
TABLE 231 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION) 317
TABLE 232 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION) 317
12.3.2.6 Artificial intelligence market, by vertical 317
TABLE 233 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION) 318
TABLE 234 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION) 318
12.3.2.7 Artificial intelligence market, by region 319
TABLE 235 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 319
TABLE 236 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 319
13 APPENDIX 320
13.1 DISCUSSION GUIDE 320
13.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 325
13.3 CUSTOMIZATION OPTIONS 327
13.4 RELATED REPORTS 327
13.5 AUTHOR DETAILS 328