エッジ AI ハードウェア市場 : 2027 年までの世界予測

出版:MarketsandMarkets(マーケッツアンドマーケッツ) 出版年月:2022年10月

エッジ AI ハードウェア市場 : デバイス、プロセッサ (CPU、GPU、ASIC)、機能、消費電力 (1 W 未満、1 ~ 3 W、3 ~ 5 W、5 ~ 10 W、10 W 超)、業種、地域別 – 2027 年までの世界予測
Edge AI Hardware Market by Device, Processor(CPU, GPU, and ASIC), Function, Power Consumption( Less than 1 W, 1-3 W, 3-5 W, 5-10 W, and more than 10 W), Vertical and Geography – Global Forecast to 2027

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The edge AI hardware market is projected to grow from 1,056 Million Units to reach 2,716 million units by 2027; it is expected to grow at a CAGR of 20.8% during the forecast period. The major opportunities for the edge AI hardware market include the growing demand for IoT-based edge computing solutions and the rising adoption of 5G networks to bring IT and telecom together and dedicated AI processors for on-device image analytics. Major restraints for the market are limited on-device training and the shortage of AI experts. Designing efficient AI system pose major challenges to the edge AI hardware market.

エッジ AI ハードウェア市場 : デバイス、プロセッサ (CPU、GPU、ASIC)、機能、消費電力 (1 W 未満、1 ~ 3 W、3 ~ 5 W、5 ~ 10 W、10 W 超)、業種、地域別 - 2027 年までの世界予測

Training to have second highest CAGR during the forecast period.
Training is the process of developing an algorithm that will be used to infer the output. ML models are trained to develop the ability to understand a data set and act on new data. No actual learning happens on devices as training requires high computational power. As mobile devices do not have high-performance computing, ML models are trained on the cloud. Moreover, on-device training is not required for each application, and it will be limited to certain devices such as automotive systems and robots. Considering its advantages, on-device training is expected to increase in the next few years. With on-device training capability, a model can learn from a user’s data available on the device, making the data more secure. With on-device training, an ML model can learn and update continuously.
US to grow with highest CAGR in North America during the forecast period.
The US is the major revenue generator for players dealing in edge AI hardware in North America. The US is a key market for AI application processors as the demand for smartphones, smart home appliances, and advanced products such as IoT devices, wearable electronics, and vehicles with high-security features is high in the country. The US government has announced significant investments in machine learning solutions across various sectors, including consumer electronics, healthcare, and government. The abundance of capital and strong support of the US government contribute to the large-scale adoption of ML/AI solutions. The country’s data center industry continues to grow with rising investments in artificial intelligence and technological advancements.
The report profiles key players in the edge AI hardware market and analyzes their market shares. Players profiled in this report are Apple (US), MediaTek (Taiwan), Qualcomm Technologies (US), Huawei Technologies (China), and Samsung Electronics (South Korea), Intel (US), NVIDIA (US), IBM(US), Google (US), Microsift (US), AMD (US), Micron Technology (US), Imagination Technologies (UK), Cambricon Technologies (China), Tenstorrent (Canada), Blaize (US), General Vision (US), Mythic (US), Zero ASIC (US), Applied Brain Research (Canada), Horizon Robotics (China), CEVA (US), Graph core (UK), SambaNova (US), Hailo (Israel), Veridify Security (US).

エッジ AI ハードウェア市場 : デバイス、プロセッサ (CPU、GPU、ASIC)、機能、消費電力 (1 W 未満、1 ~ 3 W、3 ~ 5 W、5 ~ 10 W、10 W 超)、業種、地域別 - 2027 年までの世界予測

Research Coverage
The report defines, describes, and forecasts the edge AI hardware market market based on device, function ,power consumption, processor, vertical and geography. It provides detailed information regarding factors such as drivers, restraints, opportunities, and challenges influencing the growth of the edge AI hardware market market. It also analyzes competitive developments such as product launches, acquisitions, expansions, contracts, partnerships, and developments carried out by the key players to grow in the market.
Reasons to Buy This Report
The report will help leaders/new entrants in the edge AI hardware market in the following ways:
1. The report segments the edge AI hardware market market comprehensively and provides the closest market size estimation for all subsegments across regions.
2. The report will help stakeholders understand the pulse of the market and provide them with information on key drivers, restraints, challenges, and opportunities about edge AI hardware market.
3. The report will help stakeholders understand their competitors better and gain insights to improve their position in the edge AI hardware market market. The competitive landscape section describes the competitor ecosystem.


目次

1 INTRODUCTION 29
1.1 STUDY OBJECTIVES 29
1.2 MARKET DEFINITION 29
1.3 MARKET SCOPE 30
1.3.1 MARKETS COVERED 30
FIGURE 1 EDGE AI HARDWARE MARKET SEGMENTATION 30
1.3.2 INCLUSIONS AND EXCLUSIONS 30
1.3.3 REGIONAL SCOPE 31
1.3.4 YEARS CONSIDERED 32
1.4 CURRENCY CONSIDERED 32
1.5 UNITS CONSIDERED 32
1.6 LIMITATIONS 32
1.7 STAKEHOLDERS 33
1.8 SUMMARY OF CHANGES 33
2 RESEARCH METHODOLOGY 34
2.1 RESEARCH DATA 34
FIGURE 2 PROCESS FLOW: EDGE AI HARDWARE MARKET SIZE ESTIMATION 34
FIGURE 3 EDGE AI HARDWARE MARKET: RESEARCH DESIGN 35
2.1.1 SECONDARY AND PRIMARY RESEARCH 36
2.1.2 SECONDARY DATA 36
2.1.2.1 Secondary sources 37
2.1.2.2 List of key secondary sources 37
2.1.3 PRIMARY DATA 37
2.1.3.1 Primary sources 38
2.1.3.2 Key industry insights 38
2.1.3.3 Primary interviews with experts 39
2.1.3.4 List of key primary respondents 39
2.1.3.5 Breakdown of primaries 39
2.2 MARKET SIZE ESTIMATION 40
2.2.1 BOTTOM-UP APPROACH 40
2.2.1.1 Demand-side analysis 40
FIGURE 4 EDGE AI HARDWARE MARKET: BOTTOM-UP APPROACH 41
2.2.2 TOP-DOWN APPROACH 41
2.2.2.1 Approach to derive market size using top-down analysis 41
FIGURE 5 EDGE AI HARDWARE MARKET: TOP-DOWN APPROACH 42
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 43
FIGURE 6 DATA TRIANGULATION 43
2.4 RESEARCH ASSUMPTIONS 44
2.5 RISK ASSESSMENT 45
TABLE 1 ANALYSIS OF RISK FACTORS 45
3 EXECUTIVE SUMMARY 46
FIGURE 7 SMARTPHONES TO DOMINATE EDGE AI HARDWARE MARKET THROUGHOUT FORECAST PERIOD 47
FIGURE 8 CONSUMER ELECTRONICS VERTICAL TO COMMAND EDGE AI MARKET FROM 2022 TO 2027 48
FIGURE 9 TRAINING SEGMENT TO WITNESS HIGHER CAGR IN EDGE AI HARDWARE MARKET, BY FUNCTION, FROM 2022 TO 2027 48
FIGURE 10 ASIA PACIFIC HELD LARGEST SHARE OF EDGE AI HARDWARE MARKET, IN TERMS OF VOLUME, IN 2021 49
4 PREMIUM INSIGHTS 50
4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN EDGE AI HARDWARE MARKET 50
FIGURE 11 EMERGENCE OF 5G NETWORKS TO CREATE LUCRATIVE OPPORTUNITIES FOR PROVIDERS OF EDGE AI HARDWARE PRODUCTS 50
4.2 EDGE AI HARDWARE MARKET, BY DEVICE 50
FIGURE 12 SMARTPHONES TO HOLD LARGEST SHARE OF EDGE AI HARDWARE MARKET, IN TERMS OF VOLUME, IN 2027 50
4.3 EDGE AI HARDWARE MARKET, BY VERTICAL 51
FIGURE 13 CONSUMER ELECTRONICS TO ACCOUNT FOR LARGEST MARKET SHARE, IN TERMS OF VOLUME, FROM 2022 TO 2027 51
4.4 EDGE AI HARDWARE MARKET, BY PROCESSOR 51
FIGURE 14 CPU TO CAPTURE LARGEST MARKET SHARE, IN TERMS OF VOLUME, IN 2027 51
4.5 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION 52
FIGURE 15 3–5 W EDGE AI HARDWARE HELD LARGEST MARKET SHARE, IN TERMS OF VOLUME, IN 2021 52
4.6 EDGE AI HARDWARE MARKET, BY FUNCTION 52
FIGURE 16 INFERENCE TO HOLD LARGER MARKET SHARE THAN TRAINING, IN TERMS OF VOLUME, IN 2027 52
4.7 GEOGRAPHIC SNAPSHOT OF EDGE AI HARDWARE MARKET, 2022–2027 53
FIGURE 17 MEXICO TO REGISTER HIGHEST CAGR IN GLOBAL EDGE AI HARDWARE MARKET FROM 2022 TO 2027 53
5 MARKET OVERVIEW 54
5.1 INTRODUCTION 54
5.2 MARKET DYNAMICS 54
FIGURE 18 EDGE AI HARDWARE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 54
5.2.1 DRIVERS 55
5.2.1.1 Requirement for low latency and real-time data transmission in mission-critical applications 55
5.2.1.2 Focus of market players on launching innovative AI coprocessors for edge devices 55
5.2.1.3 Cost advantages of moving AI processing to edge computing 55
5.2.1.4 Need to avoid overloading cloud networks with unnecessary data 55
5.2.1.5 Development of intelligent applications 56
FIGURE 19 IMPACT ANALYSIS: DRIVERS 56
5.2.2 RESTRAINTS 57
5.2.2.1 Limitations pertaining to edge AI devices 57
5.2.2.2 Shortage of AI experts 57
FIGURE 20 IMPACT ANALYSIS: RESTRAINTS 57
5.2.3 OPPORTUNITIES 58
5.2.3.1 Development of dedicated AI processors for on-device image analytics 58
5.2.3.2 Use of edge AI- and IoT-based complementary models 58
5.2.3.3 Emergence of 5G networks that bring IT and telecom together 58
FIGURE 21 IMPACT ANALYSIS: OPPORTUNITIES 59
5.2.4 CHALLENGES 59
5.2.4.1 Designing efficient edge AI systems 59
5.2.4.2 Optimizing edge AI standards 59
FIGURE 22 IMPACT ANALYSIS: CHALLENGES 60
5.3 EVOLUTION 60
FIGURE 23 EVOLUTION OF EDGE AI 60
5.4 VALUE CHAIN ANALYSIS 61
FIGURE 24 VALUE CHAIN ANALYSIS 62
5.5 CASE STUDY ANALYSIS 63
5.5.1 CASE STUDY 1: CREATION OF MOTION INTELLIGENCE WITH IMAGIMOB’S SENSORBEAT AI SOLUTION 63
5.5.2 CASE STUDY 2: USE OF IMAGIMOB’S SENSORBEAT AI SOFTWARE FOR PREDICTIVE MAINTENANCE 63
5.5.3 CASE STUDY 3: IMPLEMENTATION OF ML ALGORITHMS TO PERSONALIZE BANKING EXPERIENCE 64
5.5.4 CASE STUDY 4: ADOPTION OF EUROTECH’S HPEC SYSTEMS IN AUTONOMOUS VEHICLES FOR SITUATIONAL AWARENESS 64
5.5.5 CASE STUDY 5: DEPLOYMENT OF BYTELAKE’S EDGE AI STARTER KIT IN RETAIL SHOPS TO DETECT GROCERY ITEMS 65
5.5.6 CASE STUDY 6: UTILIZATION OF BYTELAKE’S EDGE AI STARTER KIT FOR TRAFFIC ANALYTICS 65
5.6 TECHNOLOGY ANALYSIS 66
5.6.1 EDGE AI AND INTERNET OF THINGS (IOT) 66
5.6.2 EDGE AI AND 5G 66
5.6.3 EDGE AI AND BLOCKCHAIN 66
5.7 PORTER’S FIVE FORCES ANALYSIS 67
FIGURE 25 PORTER’S FIVE FORCES ANALYSIS 67
TABLE 2 IMPACT OF PORTER’S FIVE FORCES ON EDGE AI HARDWARE MARKET, 2021 67
5.7.1 THREAT OF NEW ENTRANTS 68
5.7.2 THREAT OF SUBSTITUTES 68
5.7.3 BARGAINING POWER OF SUPPLIERS 68
5.7.4 BARGAINING POWER OF BUYERS 68
5.7.5 INTENSITY OF COMPETITIVE RIVALRY 68
5.8 EDGE AI MARKET ECOSYSTEM 69
FIGURE 26 ECOSYSTEM OF EDGE AI 69
TABLE 3 EDGE AI HARDWARE MARKET ECOSYSTEM, BY KEY PLAYER 69
5.9 PATENT ANALYSIS 71
FIGURE 27 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2011–2021 71
TABLE 4 TOP 20 PATENT OWNERS IN US, 2011–2021 71
FIGURE 28 NUMBER OF PATENTS GRANTED EVERY YEAR FROM 2011 TO 2021 72
TABLE 5 LIST OF PATENTS 72
5.10 TARIFF AND REGULATORY LANDSCAPE 74
5.10.1 INTRODUCTION 74
5.10.1.1 Export-import regulations 75
5.10.2 GENERAL DATA PROTECTION REGULATION 75
5.10.3 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT 75
5.10.4 FEDERAL TRADE COMMISSION 76
5.10.5 FEDERAL COMMUNICATIONS COMMISSION 76
5.10.6 ISO/IEC JTC 1/SC 42 76
5.10.7 ROHS DIRECTIVE AND WEEE DIRECTIVE 76
5.11 TRADE AND TARIFF ANALYSES 77
5.11.1 TRADE DATA FOR HS CODE 854231 77
FIGURE 29 IMPORT DATA, BY COUNTRY, 2017−2021 (USD BILLION) 77
FIGURE 30 EXPORT DATA, BY COUNTRY, 2017−2021 (USD BILLION) 78
5.11.2 TARIFF ANALYSIS 78
TABLE 6 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY US, 2021 79
TABLE 7 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY CHINA, 2021 79
TABLE 8 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY HONG KONG, 2021 79
TABLE 9 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY SINGAPORE, 2021 80
TABLE 10 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY MALAYSIA, 2021 80
5.12 MARKET TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 80
FIGURE 31 REVENUE SHIFT IN EDGE AI HARDWARE MARKET 81
5.13 KEY CONFERENCES AND EVENTS, 2022–2023 81
TABLE 11 EDGE AI HARDWARE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS 81
5.14 PRICING ANALYSIS 82
5.14.1 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS 82
FIGURE 32 AVERAGE SELLING PRICE OF TOP 3 HARDWARE PROCESSORS OFFERED BY KEY PLAYERS 82
TABLE 12 AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 HARDWARE PROCESSORS (USD) 83
5.14.2 AVERAGE SELLING PRICE TREND 83
FIGURE 33 EDGE AI HARDWARE MARKET: AVERAGE PRICE OF AI PROCESSORS 84
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA 84
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 84
FIGURE 34 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS 84
TABLE 13 INFLUENCE OF STAKEHOLDERS ON TOP 3 VERTICALS ON BUYING PROCESS (%) 85
5.15.2 BUYING CRITERIA 85
FIGURE 35 KEY BUYING CRITERIA OF TOP 3 VERTICALS 85
TABLE 14 KEY BUYING CRITERIA OF TOP 3 VERTICALS 85
6 EDGE AI HARDWARE MARKET, BY DEVICE 86
6.1 INTRODUCTION 87
FIGURE 36 EDGE AI HARDWARE MARKET, BY DEVICE 87
FIGURE 37 WEARABLES TO WITNESS HIGHEST CAGR IN EDGE AI HARDWARE MARKET, IN TERMS OF VOLUME, DURING FORECAST PERIOD 88
TABLE 15 EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 88
TABLE 16 EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 89
TABLE 17 EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (USD MILLION) 89
TABLE 18 EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (USD MILLION) 90
6.2 SMARTPHONES 90
6.2.1 DEDICATED AI CHIPS SAID TO BE KEY DEVELOPMENT IN SMARTPHONES 90
TABLE 19 SMARTPHONES: EDGE AI HARDWARE MARKET, BY REGION, 2018–2021 (THOUSAND UNITS) 91
TABLE 20 SMARTPHONES: EDGE AI HARDWARE MARKET, BY REGION, 2022–2027 (THOUSAND UNITS) 91
6.3 SURVEILLANCE CAMERAS 91
6.3.1 PUBLIC SAFETY TO BE MAJOR REASON TO DEPLOY AI-BASED CAMERAS 91
TABLE 21 SURVEILLANCE CAMERAS: EDGE AI HARDWARE MARKET, BY APPLICATION, 2018–2021 (THOUSAND UNITS) 92
TABLE 22 SURVEILLANCE CAMERAS: EDGE AI HARDWARE MARKET, BY APPLICATION, 2022–2027 (THOUSAND UNITS) 92
FIGURE 38 ASIA PACIFIC TO EXHIBIT HIGHEST CAGR IN EDGE AI HARDWARE MARKET FOR SURVEILLANCE CAMERAS DURING FORECAST PERIOD 93
TABLE 23 SURVEILLANCE CAMERAS: EDGE AI HARDWARE MARKET, BY REGION, 2018–2021 (THOUSAND UNITS) 93
TABLE 24 SURVEILLANCE CAMERAS: EDGE AI HARDWARE MARKET, BY REGION, 2022–2027 (THOUSAND UNITS) 94
6.4 ROBOTS 94
6.4.1 INTEGRATION OF AI INTO INDUSTRIAL ROBOTS ENABLES THEM TO MONITOR THEIR ACCURACY AND PERFORMANCE 94
TABLE 25 DRONES: EDGE AI HARDWARE MARKET, BY APPLICATION, 2018–2021 (THOUSAND UNITS) 95
TABLE 26 DRONES: EDGE AI HARDWARE MARKET, BY APPLICATION, 2022–2027 (THOUSAND UNITS) 95
TABLE 27 ROBOTS: EDGE AI HARDWARE MARKET, BY REGION, 2018–2021 (THOUSAND UNITS) 95
TABLE 28 ROBOTS: EDGE AI HARDWARE MARKET, BY REGION, 2022–2027 (THOUSAND UNITS) 96
6.5 WEARABLES 96
6.5.1 EYEWEAR TO CAPTURE MAJOR MARKET SHARE FOR WEARABLES 96
TABLE 29 WEARABLES: EDGE AI HARDWARE MARKET, BY APPLICATION, 2018–2021 (THOUSAND UNITS) 96
TABLE 30 WEARABLES: EDGE AI HARDWARE MARKET, BY APPLICATION, 2022–2027 (THOUSAND UNITS) 97
FIGURE 39 NORTH AMERICA TO DOMINATE EDGE AI MARKET FOR WEARABLES DURING FORECAST PERIOD 97
TABLE 31 WEARABLES: EDGE AI HARDWARE MARKET, BY REGION, 2018–2021 (THOUSAND UNITS) 97
TABLE 32 WEARABLES: EDGE AI HARDWARE MARKET, BY REGION, 2022–2027 (THOUSAND UNITS) 98
6.6 EDGE SERVERS 98
6.6.1 ENTERPRISE & INDUSTRY SEGMENT TO CREATE GROWTH OPPORTUNITIES FOR PROVIDERS OF EDGE AI SERVERS 98
TABLE 33 EDGE SERVERS: EDGE AI HARDWARE MARKET, BY REGION, 2018–2021 (THOUSAND UNITS) 98
TABLE 34 EDGE SERVERS: EDGE AI HARDWARE MARKET, BY REGION, 2022–2027 (THOUSAND UNITS) 99
6.7 SMART SPEAKERS 99
6.7.1 USE OF VOICE COMMAND TO CONTROL SMART HOME DEVICES TO FUEL MARKET GROWTH 99
TABLE 35 SMART SPEAKERS: EDGE AI HARDWARE MARKET, BY REGION, 2018–2021 (THOUSAND UNITS) 100
TABLE 36 SMART SPEAKERS: EDGE AI HARDWARE MARKET, BY REGION, 2022–2027 (THOUSAND UNITS) 100
6.8 AUTOMOBILES 100
6.8.1 SEMI-AUTONOMOUS AND AUTONOMOUS VEHICLES TO DRIVE MARKET GROWTH 100
TABLE 37 AUTOMOBILES: EDGE AI HARDWARE MARKET, BY REGION, 2018–2021 (THOUSAND UNITS) 101
TABLE 38 AUTOMOBILES: EDGE AI HARDWARE MARKET, BY REGION, 2022–2027 (THOUSAND UNITS) 101
6.9 SMART MIRRORS 101
6.9.1 GROWING USE OF SMART MIRRORS IN RETAIL SECTOR TO PROPEL MARKET GROWTH 101
TABLE 39 SMART MIRRORS: EDGE AI HARDWARE MARKET, BY REGION, 2018–2021 (THOUSAND UNITS) 102
TABLE 40 SMART MIRRORS: EDGE AI HARDWARE MARKET, BY REGION, 2022–2027 (THOUSAND UNITS) 102
7 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION 103
7.1 INTRODUCTION 104
FIGURE 40 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION 104
FIGURE 41 EDGE AI DEVICES CONSUMING LESS THAN 1 W TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD 104
TABLE 41 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION, 2018–2021 (THOUSAND UNITS) 105
TABLE 42 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION, 2022–2027 (THOUSAND UNITS) 105
7.2 LESS THAN 1 W 105
7.2.1 WEARABLES CONSUMING LESS THAN 1 W OF ELECTRICITY TO STIMULATE MARKET GROWTH 105
7.3 1–3 W 106
7.3.1 SMARTPHONES TO DOMINATE MARKET FOR 1–3 W SEGMENT 106
7.4 3–5 W 106
7.4.1 SMART SPEAKERS TO LEAD MARKET FOR 3–5 W SEGMENT 106
7.5 5–10 W 106
7.5.1 SURVEILLANCE CAMERAS AND DRONES CONSUME 5–10 W OF ELECTRICITY 106
7.6 MORE THAN 10 W 106
7.6.1 AUTOMOBILES AND SMART MIRRORS REQUIRE MORE THAN 10 W OF POWER 106
8 EDGE AI HARDWARE MARKET, BY PROCESSOR 107
8.1 INTRODUCTION 108
FIGURE 42 EDGE AI HARDWARE MARKET, BY PROCESSOR 108
FIGURE 43 CPU TO HOLD LARGEST SHARE OF EDGE AI HARDWARE MARKET IN 2027 108
TABLE 43 EDGE AI HARDWARE MARKET, BY PROCESSOR, 2018–2021 (MILLION UNITS) 109
TABLE 44 EDGE AI HARDWARE MARKET, BY PROCESSOR, 2022–2027 (MILLION UNITS) 109
8.2 CPU 109
8.2.1 USE OF CPU IN SMARTPHONES AND SMART SPEAKERS FOR ON-DEVICE INFERENCE TO BOOST MARKET 109
8.3 GPU 110
8.3.1 AUTOMOTIVE AND ROBOTICS TO BE MAJOR END-USER INDUSTRIES OF GRAPHICS PROCESSING UNITS 110
8.4 ASIC 110
8.4.1 FIXED APPLICATION TO BE PERFORMED FASTER USING ASIC 110
8.5 OTHERS 110
9 EDGE AI HARDWARE MARKET, BY FUNCTION 111
9.1 INTRODUCTION 112
FIGURE 44 EDGE AI HARDWARE MARKET, BY FUNCTION 112
FIGURE 45 INFERENCE TO HOLD LARGER SHARE OF EDGE AI HARDWARE MARKET THROUGHOUT FORECAST PERIOD 112
TABLE 45 EDGE AI HARDWARE MARKET, BY FUNCTION, 2018–2021 (MILLION UNITS) 113
TABLE 46 EDGE AI HARDWARE MARKET, BY FUNCTION, 2022–2027 (MILLION UNITS) 113
9.2 TRAINING 113
9.2.1 DEVELOPMENT OF ALGORITHMS THAT CAN INFER RESULTS PLAYS CRUCIAL ROLE IN TRAINING 113
9.3 INFERENCE 114
9.3.1 EFFICIENT PROCESSORS TO BE DEVELOPED FOR EFFECTIVE ANALYSIS OF NEW INFORMATION 114
10 EDGE AI HARDWARE MARKET, BY VERTICAL 115
10.1 INTRODUCTION 116
FIGURE 46 EDGE AI HARDWARE MARKET, BY VERTICAL 116
FIGURE 47 CONSUMER ELECTRONICS TO HOLD LARGEST SHARE OF EDGE AI HARDWARE MARKET, IN TERMS OF VOLUME, DURING FORECAST PERIOD 117
TABLE 47 EDGE AI HARDWARE MARKET, BY VERTICAL, 2018–2021 (THOUSAND UNITS) 117
TABLE 48 EDGE AI HARDWARE MARKET, BY VERTICAL, 2022–2027 (THOUSAND UNITS) 118
10.2 CONSUMER ELECTRONICS 118
10.2.1 SMARTPHONES TO STIMULATE MARKET GROWTH 118
TABLE 49 CONSUMER ELECTRONICS: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 119
TABLE 50 CONSUMER ELECTRONICS: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 119
10.2.2 SMARTPHONES 119
10.2.2.1 Dedicated AI chipset-enabled smartphones to witness strong demand in near future 119
10.2.3 WEARABLES 120
10.2.3.1 Wearables to be increasingly used in fitness & sports and entertainment & multimedia applications 120
10.2.4 ENTERTAINMENT ROBOTS 120
10.2.4.1 Focus of manufacturers to produce high-quality robots at affordable prices to boost market growth 120
10.3 SMART HOME 120
10.3.1 SMART SPEAKERS TO SUPPORT MARKET GROWTH 120
TABLE 51 SMART HOME: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 120
TABLE 52 SMART HOME: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 121
10.3.2 SMART SPEAKERS 121
10.3.2.1 Ease of use and convenience make smart speakers suitable for elderly people 121
10.3.3 SMART CAMERAS 121
10.3.3.1 Round-the-clock security requirement to surge adoption of smart cameras in smart homes 121
10.3.4 DOMESTIC ROBOTS 122
10.3.4.1 Lawn mowing and floor, pool, and window cleaning activities carried out using domestic robots 122
10.4 AUTOMOTIVE & TRANSPORTATION 122
10.4.1 USE OF CAMERAS TO RECOGNIZE VEHICLES AND NUMBER PLATES TO FOSTER MARKET GROWTH 122
TABLE 53 AUTOMOTIVE & TRANSPORTATION: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 122
TABLE 54 AUTOMOTIVE & TRANSPORTATION: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 122
10.4.2 AUTOMOBILES 123
10.4.2.1 AI technology to witness high demand from autonomous vehicle manufacturers 123
10.4.3 SURVEILLANCE CAMERAS 123
10.4.3.1 Vehicle count and number plate recognition supposed to be major applications of surveillance cameras 123
10.4.4 LOGISTICS ROBOTS 123
10.4.4.1 Increased need for logistics robots for courier and cargo handling applications to drive market 123
10.5 GOVERNMENT 123
10.5.1 DEPLOYMENT OF AI-POWERED SURVEILLANCE CAMERAS TO PUSH MARKET GROWTH 123
FIGURE 48 SURVEILLANCE CAMERAS TO CAPTURE LARGER MARKET SHARE THAN DRONES THROUGHOUT FORECAST PERIOD 124
TABLE 55 GOVERNMENT: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 124
TABLE 56 GOVERNMENT: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 124
10.5.2 SURVEILLANCE CAMERAS 125
10.5.2.1 Rising use by police and first responders for behavior analysis and face recognition applications to augment market growth 125
10.5.3 DRONES 125
10.5.3.1 Adoption of AI-powered drones in tracking suspects and investigating accidents to propel market growth 125
10.6 HEALTHCARE 125
10.6.1 WEARABLES TO DOMINATE HEALTHCARE MARKET 125
TABLE 57 HEALTHCARE: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 125
TABLE 58 HEALTHCARE: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 126
10.6.2 MEDICAL ROBOTS 126
10.6.2.1 Minimize infection risks to patients 126
10.6.3 WEARABLES 126
10.6.3.1 Play crucial role in monitoring patients remotely 126
10.7 INDUSTRIAL 127
10.7.1 INDUSTRIAL MACHINE VISION CAMERAS TO FUEL MARKET GROWTH 127
FIGURE 49 INDUSTRIAL ROBOTS TO REGISTER HIGHEST CAGR IN EDGE AI HARDWARE MARKET DURING FORECAST PERIOD 127
TABLE 59 INDUSTRIAL: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 127
TABLE 60 INDUSTRIAL: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 128
10.7.2 INDUSTRIAL ROBOTS 128
10.7.2.1 Increasing adoption of robots to speed up production, increase productivity, and reduce product cost to boost market 128
10.7.3 DRONES 128
10.7.3.1 Rising use of drones to automate inspection processes, save time, and provide accurate results to accelerate market growth 128
10.7.4 MV CAMERAS 129
10.7.4.1 Help minimize production downtime by detecting machinery defects at faster rate 129
10.8 AEROSPACE & DEFENSE 129
10.8.1 INCREASING USE OF SERVICE ROBOTS TO PUSH MARKET GROWTH 129
TABLE 61 AEROSPACE & DEFENSE: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 129
TABLE 62 AEROSPACE & DEFENSE: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 129
10.9 CONSTRUCTION 130
10.9.1 GROWING USE OF AI ROBOTS IN CONSTRUCTION, RENOVATION, AND DEMOLITION ACTIVITIES TO SUPPORT MARKET GROWTH 130
TABLE 63 CONSTRUCTION: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 130
TABLE 64 CONSTRUCTION: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 130
10.9.2 SERVICE ROBOTS 130
10.9.2.1 Infrastructure development projects to witness high demand for service robots 130
10.9.3 DRONES 131
10.9.3.1 Increasing use of drones for earthwork management, project planning, and surveying applications to support market growth 131
10.10 OTHERS 131
TABLE 65 OTHERS: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 131
TABLE 66 OTHERS: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 131
10.10.1 SURVEILLANCE CAMERAS 132
10.10.1.1 Growing incidents of robbery and terror threats to create requirement for surveillance cameras 132
10.10.2 PROFESSIONAL SERVICE ROBOTS 132
10.10.2.1 Retail stores, restaurants, amusement parks, and airports to be major end users of professional robots 132
10.10.3 WEARABLES 132
10.10.3.1 Rising use of wearables by enterprises for on-job training to propel market growth 132
10.10.4 SMART MIRRORS 132
10.10.4.1 Emergence of virtual dressing rooms in apparel industry to support market growth 132
10.10.5 EDGE SERVERS 133
10.10.5.1 Need to improve efficiency of agricultural operations to generate requirement for edge AI 133
10.10.6 DRONES 133
10.10.6.1 Surging adoption of drones to monitor crops to push market growth 133
11 EDGE AI HARDWARE MARKET, BY REGION 134
11.1 INTRODUCTION 135
FIGURE 50 EDGE AI HARDWARE MARKET, BY GEOGRAPHY 135
TABLE 67 EDGE AI HARDWARE MARKET, BY REGION, 2018–2021 (MILLION UNITS) 135
TABLE 68 EDGE AI HARDWARE MARKET, BY REGION, 2022–2027 (MILLION UNITS) 136
11.2 NORTH AMERICA 136
FIGURE 51 SNAPSHOT OF EDGE AI HARDWARE MARKET IN NORTH AMERICA 137
TABLE 69 NORTH AMERICA: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 137
TABLE 70 NORTH AMERICA: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 138
TABLE 71 NORTH AMERICA: EDGE AI HARDWARE MARKET, BY COUNTRY, 2018–2021 (THOUSAND UNITS) 138
TABLE 72 NORTH AMERICA: EDGE AI HARDWARE MARKET, BY COUNTRY, 2022–2027 (THOUSAND UNITS) 138
11.2.1 US 139
11.2.1.1 Large-scale adoption of ML & AI solutions to accelerate demand for edge AI hardware 139
11.2.2 CANADA 139
11.2.2.1 Extensive AI start-up activities to create growth opportunities for market players 139
11.2.3 MEXICO 140
11.2.3.1 Fastest-growing North American market for smartphones to create opportunities for edge AI vendors 140
11.3 EUROPE 140
FIGURE 52 SNAPSHOT OF EDGE AI HARDWARE MARKET IN EUROPE 141
TABLE 73 EUROPE: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 142
TABLE 74 EUROPE: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 142
TABLE 75 EUROPE: EDGE AI HARDWARE MARKET, BY COUNTRY, 2018–2021 (THOUSAND UNITS) 143
TABLE 76 EUROPE: EDGE AI HARDWARE MARKET, BY COUNTRY, 2022–2027 (THOUSAND UNITS) 143
11.3.1 GERMANY 144
11.3.1.1 Flourishing automotive sector to push market growth 144
11.3.2 UK 144
11.3.2.1 National AI Strategy published by government to support market growth 144
11.3.3 FRANCE 145
11.3.3.1 Strong demand for AI-powered surveillance to drive requirement for edge AI hardware 145
11.3.4 REST OF EUROPE (ROE) 145
11.4 ASIA PACIFIC (ASIA PACIFIC) 145
FIGURE 53 SNAPSHOT OF EDGE AI HARDWARE MARKET IN ASIA PACIFIC 146
TABLE 77 ASIA PACIFIC: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 147
TABLE 78 ASIA PACIFIC: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 147
TABLE 79 ASIA PACIFIC: EDGE AI HARDWARE MARKET, BY COUNTRY, 2018–2021 (THOUSAND UNITS) 148
TABLE 80 ASIA PACIFIC: EDGE AI HARDWARE MARKET, BY COUNTRY, 2022–2027 (THOUSAND UNITS) 148
11.4.1 CHINA 148
11.4.1.1 Booming automotive and transportation sectors to push market growth 148
11.4.2 JAPAN 149
11.4.2.1 Robotics, ICT, and automobile industries to fuel market growth 149
11.4.3 SOUTH KOREA 149
11.4.3.1 Huge investment by government in AI to propel market growth 149
11.4.4 REST OF ASIA PACIFIC 150
11.5 REST OF THE WORLD (ROW) 150
TABLE 81 ROW: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS) 150
TABLE 82 ROW: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS) 151
TABLE 83 ROW: EDGE AI HARDWARE MARKET, BY REGION, 2018–2021 (THOUSAND UNITS) 151
TABLE 84 ROW: EDGE AI HARDWARE MARKET, BY REGION, 2022–2027 (THOUSAND UNITS) 151
11.5.1 MIDDLE EAST & AFRICA (MEA) 152
11.5.1.1 Saudi Arabia, Israel, and South Africa to foster market growth in MEA 152
11.5.2 SOUTH AMERICA 152
11.5.2.1 High investments in IT security to accelerate market growth 152
12 COMPETITIVE LANDSCAPE 153
12.1 INTRODUCTION 153
12.2 STRATEGIES ADOPTED BY KEY PLAYERS 153
TABLE 85 MAJOR COMPANIES ADOPTED PRODUCT LAUNCHES AS KEY GROWTH STRATEGY FROM 2019 TO 2022 153
12.3 MARKET SHARE ANALYSIS, 2021 155
TABLE 86 EDGE AI HARDWARE MARKET: DEGREE OF COMPETITION, 2021 155
FIGURE 54 MARKET SHARE OF KEY COMPANIES IN EDGE AI HARDWARE MARKET, 2021 156
TABLE 87 EDGE AI HARDWARE MARKET RANKING ANALYSIS, 2021 156
12.4 REVENUE ANALYSIS 157
FIGURE 55 THREE-YEAR REVENUE ANALYSIS OF KEY COMPANIES, 2019–2021 (USD BILLION) 158
12.5 COMPANY EVALUATION QUADRANT 158
12.5.1 STARS 158
12.5.2 PERVASIVE PLAYERS 159
12.5.3 EMERGING LEADERS 159
12.5.4 PARTICIPANTS 159
FIGURE 56 EDGE AI HARDWARE MARKET (KEY PLAYERS): EVALUATION QUADRANT, 2021 160
TABLE 88 COMPANY FOOTPRINT 161
TABLE 89 DEVICE FOOTPRINT OF COMPANIES 162
TABLE 90 VERTICAL FOOTPRINT OF COMPANIES 163
TABLE 91 REGION FOOTPRINT OF COMPANIES 164
12.6 START-UP/SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION QUADRANT 165
12.6.1 PROGRESSIVE COMPANIES 165
12.6.2 RESPONSIVE COMPANIES 165
12.6.3 DYNAMIC COMPANIES 165
12.6.4 STARTING BLOCKS 165
FIGURE 57 EDGE AI HARDWARE MARKET (SME): EVALUATION QUADRANT, 2021 166
TABLE 92 EDGE AI HARDWARE MARKET: LIST OF KEY START-UPS/SMES 167
12.7 COMPETITIVE SCENARIOS AND TRENDS 168
12.7.1 PRODUCT LAUNCHES 168
TABLE 93 EDGE AI HARDWARE MARKET: PRODUCT LAUNCHES, JANUARY 2019–SEPTEMBER 2022 168
12.7.2 DEALS 169
TABLE 94 EDGE AI HARDWARE MARKET: DEALS, JANUARY 2019–SEPTEMBER 2022 169
13 COMPANY PROFILES 170
(Business overview, Products offered, Recent Developments, MNM view)*
13.1 KEY COMPANIES 170
13.1.1 QUALCOMM TECHNOLOGIES 170
TABLE 95 QUALCOMM TECHNOLOGIES: COMPANY OVERVIEW 170
FIGURE 58 QUALCOMM TECHNOLOGIES: COMPANY SNAPSHOT 171
TABLE 96 QUALCOMM TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED 172
TABLE 97 QUALCOMM TECHNOLOGIES: PRODUCT LAUNCHES 172
TABLE 98 QUALCOMM TECHNOLOGIES: DEALS 176
13.1.2 HUAWEI TECHNOLOGIES CO., LTD. 179
TABLE 99 HUAWEI TECHNOLOGIES: COMPANY OVERVIEW 179
FIGURE 59 HUAWEI TECHNOLOGIES: COMPANY SNAPSHOT 180
TABLE 100 HUAWEI TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED 181
TABLE 101 HUAWEI TECHNOLOGIES: PRODUCT LAUNCHES 182
TABLE 102 HUAWEI TECHNOLOGIES: DEALS 182
TABLE 103 HUAWEI TECHNOLOGIES: OTHERS 183
13.1.3 SAMSUNG ELECTRONICS 184
TABLE 104 SAMSUNG ELECTRONICS: COMPANY OVERVIEW 184
FIGURE 60 SAMSUNG ELECTRONICS: COMPANY SNAPSHOT 185
TABLE 105 SAMSUNG ELECTRONICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 186
TABLE 106 SAMSUNG ELECTRONICS: PRODUCT LAUNCHES 186
TABLE 107 SAMSUNG ELECTRONICS: DEALS 187
13.1.4 APPLE 188
TABLE 108 APPLE: COMPANY OVERVIEW 188
FIGURE 61 APPLE: COMPANY SNAPSHOT 189
TABLE 109 APPLE: PRODUCT/SOLUTIONS/SERVICES OFFERED 190
TABLE 110 APPLE: DEALS 190
13.1.5 MEDIATEK 191
TABLE 111 MEDIATEK: COMPANY OVERVIEW 191
FIGURE 62 MEDIATEK: COMPANY SNAPSHOT 192
TABLE 112 MEDIATEK: PRODUCTS/SOLUTIONS/SERVICES OFFERED 193
TABLE 113 MEDIATEK: PRODUCT LAUNCHES 193
TABLE 114 MEDIATEK: DEALS 194
13.1.6 INTEL 195
TABLE 115 INTEL: COMPANY OVERVIEW 195
FIGURE 63 INTEL: COMPANY SNAPSHOT 196
TABLE 116 INTEL: PRODUCT/SOLUTIONS/SERVICES OFFERED 197
TABLE 117 INTEL: PRODUCT LAUNCHES 197
TABLE 118 INTEL: DEALS 198
TABLE 119 INTEL: OTHERS 199
13.1.7 NVIDIA 200
TABLE 120 NVIDIA: COMPANY OVERVIEW 200
FIGURE 64 NVIDIA: COMPANY SNAPSHOT 201
TABLE 121 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 202
TABLE 122 NVIDIA: PRODUCT LAUNCHES 202
TABLE 123 NVIDIA: DEALS 203
13.1.8 IBM 204
TABLE 124 IBM: COMPANY OVERVIEW 204
FIGURE 65 IBM: COMPANY SNAPSHOT 205
TABLE 125 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 206
TABLE 126 IBM: PRODUCT LAUNCHES 206
TABLE 127 IBM: DEALS 207
13.1.9 MICRON TECHNOLOGY 208
TABLE 128 MICRON TECHNOLOGY: COMPANY OVERVIEW 208
FIGURE 66 MICRON TECHNOLOGY: COMPANY SNAPSHOT 209
TABLE 129 MICRON TECHNOLOGY: PRODUCTS/SOLUTIONS/SERVICES OFFERED 210
TABLE 130 MICRON TECHNOLOGY: PRODUCT LAUNCHES 210
13.1.10 AMD 212
TABLE 131 AMD: COMPANY OVERVIEW 212
FIGURE 67 AMD: COMPANY SNAPSHOT 213
TABLE 132 AMD: PRODUCTS/SOLUTIONS/SERVICES OFFERED 214
TABLE 133 AMD: PRODUCT LAUNCHES 216
TABLE 134 AMD: DEALS 217
13.1.11 GOOGLE 218
TABLE 135 ALPHABET: COMPANY OVERVIEW 218
FIGURE 68 ALPHABET: COMPANY SNAPSHOT 219
TABLE 136 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 220
TABLE 137 GOOGLE: PRODUCT LAUNCHES 220
TABLE 138 GOOGLE: DEALS 221
13.1.12 MICROSOFT 224
TABLE 139 MICROSOFT: COMPANY OVERVIEW 224
FIGURE 69 MICROSOFT: COMPANY SNAPSHOT 225
TABLE 140 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 226
TABLE 141 MICROSOFT: PRODUCT LAUNCHES 226
TABLE 142 MICROSOFT: DEALS 226
13.2 OTHER PLAYERS 228
13.2.1 IMAGINATION TECHNOLOGIES 228
13.2.2 CAMBRICON TECHNOLOGIES 229
13.2.3 TENSTORRENT 230
13.2.4 BLAIZE 230
13.2.5 GENERAL VISION 231
13.2.6 MYTHIC 231
13.2.7 ZERO ASIC 232
13.2.8 APPLIED BRAIN RESEARCH 232
13.2.9 HORIZON ROBOTICS 233
13.2.10 CEVA 234
13.2.11 GRAPHCORE 235
13.2.12 SAMBANOVA 235
13.2.13 HAILO 236
13.2.14 VERIDIFY SECURITY INC. 237
*Details on Business overview, Products offered, Recent Developments, MNM view might not be captured in case of unlisted companies.
14 APPENDIX 238
14.1 DISCUSSION GUIDE 238
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 241
14.3 CUSTOMIZATION OPTIONS 243
14.4 RELATED REPORTS 243
14.5 AUTHOR DETAILS 244


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