엣지 AI(Edge AI) 소프트웨어 시장 : 2027 년까지의 세계 예측

출판 : MarketsandMarkets (마켓츠앤마켓츠)   출판년월 : 2022년11월

엣지 AI(Edge AI) 소프트웨어 시장 : 구성 요소 (솔루션 및 서비스), 데이터 소스 (비디오 및 이미지 인식, 모바일 데이터), 조직 규모, 산업 (에너지 및 공익 사업, 제조, 의료 및 생명 과학), 지역별 – 2027 년까지의 세계 예측
Edge AI Software Market by Component (Solution and Services), Data Source (Video & Image Recognition, Mobile Data), Organization Size, Vertical (Energy & Utilities, Manufacturing, Healthcare & Life Sciences) and Region – Global Forecast to 2027

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The edge AI software market size is pegged to grow from USD 0.8 billion in 2022 to USD 3.1 billion by 2027, at a compound annual growth rate (CAGR) of 28.9% during the forecast period. Some factors driving the growth of the edge AI software market are ever-increasing enterprise workloads on the cloud, rapid growth in the number of intelligent applications, and exponentially growing data volume and network traffic.
엣지 AI 소프트웨어 시장 규모는 2022년 8억 달러에서 2027년 31억 달러로 예측 기간 동안 28.9%의 연평균 성장률(CAGR)로 성장할 것으로 예상됩니다. 엣지 AI 소프트웨어 시장의 성장을 주도하는 몇 가지 요인은 클라우드에서 계속 증가하는 엔터프라이즈 워크로드, 지능형 애플리케이션 수의 급속한 성장, 기하급수적으로 증가하는 데이터 볼륨 및 네트워크 트래픽입니다.

엣지 AI(Edge AI) 소프트웨어 시장 : 구성 요소 (솔루션 및 서비스), 데이터 소스 (비디오 및 이미지 인식, 모바일 데이터), 조직 규모, 산업 (에너지 및 공익 사업, 제조, 의료 및 생명 과학), 지역별 - 2027 년까지의 세계 예측

The edge AI software market has been divided into solutions and services based on components. Edge AI software solutions assist businesses in automating operational tasks, increasing efficiency, and lowering costs. Edge AI software solutions include software tools and platforms, while services include training and consulting, system integration and testing, and support and maintenance.
Integrated solutions to register for the largest market size during the forecast period
Based on solutions, the edge AI market is segmented into Integrated Solutions and Standalone Solutions. The integration of digitalization or AI and Edge technologies in a single system or process is known as edge AI. Mostly Edge computing is integrated with technologies such as natural language processing (NLP), deep learning, and machine learning (ML). Edge AI simulates the machine operator’s behavior, while artificial intelligence or machine learning helps in decision-making by analyzing the data. Edge computing solutions, along with AI, can do data processing of semi-structured and unstructured data. Edge AI integrates each system, machine, and resource in the whole process, so real-time data is readily available at any time from any place. As the whole system is integrated, the machine operator can easily send commands to the machines or instructions to another machine operator.
SMEs to register higher CAGR during the forecast period
Based on organization size, the edge AI software market has been segmented into SMEs and large enterprises. SMEs are enterprises with an employee strength of 1–1,000, while large enterprises have an employee strength of more than 1,000. SMEs have a low marketing budget and often lack the resources and capabilities for effective marketing orchestration. With limited budgets, SMEs try to scale up their business through cost-effective techniques to generate maximum RoI from their spending. The intense competitive market has encouraged SMEs to invest in edge AI solutions and services, grow their productivity, and reduce costs. These enterprises are aggressively opting for edge AI due to flexibility, cost-effectiveness, lower technology risks, resource utilization scalability, and improved organizational productivity. Increasing awareness about the advantages of using AI within SMEs can help boost the market growth.
Asia Pacific to witness the highest CAGR during the forecast period
Based on regions, the Edge AI market is segmented into North America, Asia Pacific, Europe, Middle East & Africa and Latin America. The region is expected to grow at the highest CAGR in the next few years in the edge AI software market because of its growing technology adoption rate. More than 50% of the world’s population resides in Asia Pacific; therefore, any major technological shifts are likely to shape the future of the region. Many Asian countries such as China, India, and Japan are leveraging the benefits of information-intensive AI and ML technologies for different verticals. IBM, Microsoft, Google, and AWS, along with several other significant edge AI solution providers, dominate the edge AI software market in this region. Google and AWS have built data centers in Singapore to minimize latency.
The major countries in Asia Pacific are technology-driven and offer huge investment and revenue opportunities. These major countries include China, Japan, India, and Singapore. The companies operating in the region would benefit from flexible economic conditions, industrialization- and globalization-motivated policies of governments, and digitalization, which are expected to have a huge impact on the business community in the region. Other countries/areas, such as Australia, South Korea, Hong Kong, Indonesia, and Malaysia, look forward to incorporating new technologies into their businesses.
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 frontline workers training market.
 By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
 By Designation: C-Level Executives: 35%, D-Level Executives: 25%, and Managers: 40%
 By Region: Asia Pacific: 30%, Europe: 20%, North America: 45%, and Rest of the World: 5%
The report includes the study of key players offering Edge AI Software solutions. It profiles major vendors in the edge AI software market. The major players in the edge AI software market include Microsoft (US), IBM (US), Google (US), AWS (US), Nutanix (US), Synaptics (US), TIBCO (US), Octonion (Switzerland), Imagimob (Sweden), Anagog (Israel), Veea (US), Gorilla Technology (China), Foghorn Systems (Ireland), Azion (US), Bragi (Germany), Tact.ai (US), SixSq (Geneva), Clearblade (US), Alef Edge (US), Adapdix (US), byteLAKE (Poland), Reality AI (US), Deci (Israel), Edgeworx (US), Swim (US), Invision AI (Canada), Horizon Robotics (China), Kneron (US), and DeepBrainz (India).

엣지 AI(Edge AI) 소프트웨어 시장 : 구성 요소 (솔루션 및 서비스), 데이터 소스 (비디오 및 이미지 인식, 모바일 데이터), 조직 규모, 산업 (에너지 및 공익 사업, 제조, 의료 및 생명 과학), 지역별 - 2027 년까지의 세계 예측
Research coverage
The new research study includes the market drivers for each segment and region in the edge AI software market. The market dynamics and industry trends have been updated. A few sections, such as vertical-wise use cases, government regulations, patent analysis, pricing analysis for 2022, supply chain, architecture, and ecosystem, have been updated as per the latest trends. The new study also comprises operational drivers for adoption in each segment and region. The new research study features 31 players as compared to 30 in the previous version. Updated financial information/product portfolio of players: The new edition of the report provides updated financial information in the context of the edge AI software market till 2021–2022 for each listed company in graphical representation. The new research study includes the updated market developments of profiled players, including those from 2020 to 2022. The new study includes quantitative data for historical years (2017–2021), base year (2021), and forecast years (2022–2027). The new study also includes quantitative data from adjacent markets.

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 edge AI software 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.


목차

1 INTRODUCTION 38
1.1 STUDY OBJECTIVES 38
1.2 MARKET DEFINITION 38
1.2.1 INCLUSIONS AND EXCLUSIONS 39
1.3 STUDY SCOPE 40
1.3.1 MARKET SEGMENTATION 40
1.3.2 REGIONS COVERED 41
1.4 YEARS CONSIDERED 41
1.5 CURRENCY CONSIDERED 41
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2018–2020 42
1.6 STAKEHOLDERS 42
1.7 SUMMARY OF CHANGES 42
2 RESEARCH METHODOLOGY 43
2.1 RESEARCH DATA 43
FIGURE 1 EDGE AI SOFTWARE MARKET: RESEARCH DESIGN 43
2.1.1 SECONDARY DATA 44
2.1.2 PRIMARY DATA 44
TABLE 2 PRIMARY INTERVIEWS 44
2.1.2.1 Breakup of primary profiles 45
2.1.2.2 Key industry insights 45
2.2 MARKET BREAKUP AND DATA TRIANGULATION 46
FIGURE 2 DATA TRIANGULATION 46
2.3 MARKET SIZE ESTIMATION 47
FIGURE 3 EDGE AI SOFTWARE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 47
2.3.1 TOP-DOWN APPROACH 47
2.3.2 BOTTOM-UP APPROACH 48
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF EDGE AI SOFTWARE MARKET 48
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF EDGE AI SOFTWARE VENDORS 49
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY – ILLUSTRATION OF COMPANY’S EDGE AI REVENUE ESTIMATION I 49
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY – ILLUSTRATION OF COMPANY’S EDGE AI REVENUE ESTIMATION II 50
FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY- APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF EDGE AI SOFTWARE MARKET 50
FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF EDGE AI SOFTWARE MARKET 51
FIGURE 10 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF EDGE AI SOFTWARE THROUGH OVERALL
EDGE AI SOFTWARE SPENDING 51
2.4 MARKET FORECAST 52
TABLE 3 FACTOR ANALYSIS 52
2.5 EVALUATION MATRIX METHODOLOGY FOR KEY PLAYERS 53
FIGURE 11 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 53
2.6 EVALUATION MATRIX METHODOLOGY FOR STARTUPS/SMES 54
FIGURE 12 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE 54
2.7 RESEARCH ASSUMPTIONS 54
2.8 LIMITATIONS AND RISK ASSESSMENT 56
3 EXECUTIVE SUMMARY 57
TABLE 4 GLOBAL EDGE AI SOFTWARE MARKET SIZE AND GROWTH RATE, 2018–2021 (USD MILLION, Y-O-Y %) 58
TABLE 5 GLOBAL EDGE AI SOFTWARE MARKET SIZE AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y %) 58
FIGURE 13 SOLUTIONS SEGMENT TO DOMINATE MARKET IN 2022 58
FIGURE 14 INTEGRATED SOLUTIONS TO ACCOUNT FOR LARGER SHARE IN 2022 59
FIGURE 15 TRAINING & CONSULTING SEGMENT TO ACCOUNT FOR LARGEST SHARE IN 2022 59
FIGURE 16 VIDEO & IMAGE RECOGNITION SEGMENT TO ACCOUNT FOR LARGEST SHARE IN 2022 59
FIGURE 17 TRAFFIC MANAGEMENT SEGMENT TO ACCOUNT FOR LARGEST SHARE IN 2022 60
FIGURE 18 PREDICTIVE MAINTENANCE SEGMENT TO ACCOUNT FOR LARGEST SHARE IN 2022 60
FIGURE 19 SUPPLY CHAIN MANAGEMENT SEGMENT TO ACCOUNT FOR LARGEST SHARE IN 2022 60
FIGURE 20 ENERGY OPTIMIZATION SEGMENT TO ACCOUNT FOR LARGEST SHARE IN 2022 61
FIGURE 21 NETWORK MANAGEMENT & OPTIMIZATION SEGMENT TO ACCOUNT FOR LARGEST SHARE IN 2022 61
FIGURE 22 IN-HOSPITAL PATIENT MONITORING SEGMENT TO ACCOUNT FOR LARGEST SHARE IN 2022 61
FIGURE 23 VIDEO STREAMING SEGMENT TO CAPTURE LARGEST SHARE IN 2022 62
FIGURE 24 CUSTOMER ENGAGEMENT SEGMENT TO ACCOUNT FOR LARGEST SHARE IN 2022 62
FIGURE 25 LARGE ENTERPRISES SEGMENT TO ACCOUNT FOR LARGER SHARE IN 2022 62
FIGURE 26 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 63
FIGURE 27 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 63
4 PREMIUM INSIGHTS 64
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN EDGE AI SOFTWARE MARKET 64
FIGURE 28 INCREASING ENTERPRISE WORKLOADS ON CLOUD AND RAPID GROWTH IN NUMBER OF INTELLIGENT APPLICATIONS TO DRIVE MARKET GROWTH 64
4.2 EDGE AI SOFTWARE MARKET, BY DATA SOURCE 64
FIGURE 29 MOBILE DATA SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 64
4.3 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY COMPONENT AND VERTICAL 65
FIGURE 30 SOLUTIONS AND ENERGY & UTILITIES SEGMENTS TO ACCOUNT FOR SIGNIFICANT SHARE IN 2022 65
4.4 EDGE AI SOFTWARE MARKET, BY REGION 65
FIGURE 31 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2022 65
5 MARKET OVERVIEW AND INDUSTRY TRENDS 66
5.1 INTRODUCTION 66
5.2 EDGE AI SOFTWARE MARKET EVOLUTION 66
FIGURE 32 EDGE AI SOFTWARE MARKET EVOLUTION 66
5.3 EDGE AI SOFTWARE MARKET ARCHITECTURE 67
FIGURE 33 EDGE AI SOFTWARE MARKET ARCHITECTURE 67
5.4 MARKET DYNAMICS 68
FIGURE 34 EDGE AI SOFTWARE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 68
5.4.1 DRIVERS 68
5.4.1.1 Increasing enterprise workload on cloud 68
5.4.1.2 Rapid growth in number of intelligent applications 69
5.4.1.3 Exponential growth in data volume and network traffic 69
5.4.2 RESTRAINTS 69
5.4.2.1 Privacy and security concerns related to edge AI solutions 69
5.4.2.2 Lack of AI expertise 69
5.4.3 OPPORTUNITIES 70
5.4.3.1 5G network to bring IT and telecom together 70
5.4.3.2 Advent of autonomous vehicles coupled with connected car infrastructure 70
5.4.3.3 Rising need for edge computing in IoT 70
5.4.4 CHALLENGES 71
5.4.4.1 Interoperability issues to restrict adoption of edge AI software 71
5.4.4.2 Multiple standardizations and consortium activities 71
5.5 ECOSYSTEM ANALYSIS 71
FIGURE 35 ECOSYSTEM ANALYSIS 71
5.6 CASE STUDY ANALYSIS 72
5.6.1 HEALTHCARE AND LIFE SCIENCES 72
5.6.1.1 Case Study 1: HCA clinicians collaborated with Red Hat to build Sepsis Prediction and Optimization of Therapy (SPOT) 72
5.6.1.2 Case Study 2: Top robotic and digital surgery startups implemented NVIDIA Medical Edge AI Computing platform for medical edge AI use cases 72
5.6.2 GOVERNMENT AND PUBLIC SECTOR 73
5.6.2.1 Case Study 1: Taoyuan Airport’s smart city approach 73
5.6.3 MANUFACTURING 74
5.6.3.1 Case Study 1: Schindler optimized elevator performance with On-board Edge Computing 74
5.6.3.2 Case Study 2: Leading food manufacturer turned to TIBCO Spotfire Analytics to ensure complex data visibility 74
5.6.3.3 Case Study 3: Brembo implemented TIBCO Spotfire analytics to accelerate and improve business processes with analytics 75
5.6.4 TRANSPORTATION AND LOGISTICS 75
5.6.4.1 Case Study 1: JetBlue created integration platform using TIBCO 75
5.6.4.2 Case Study 2: Inovasense deployed Imagimob edge AI solutions to build audio classification applications in automotive industry 76
5.6.4.3 Case Study 3: TIER Mobility brought edge computing to its micro-mobility fleet on AWS IoT and Greengrass 76
5.6.5 ENERGY AND UTILITIES 77
5.6.5.1 Case Study 1: Texmark deployed SparkCognition to improve safety and prevent failure of critical assets 77
5.6.5.2 Case Study 2: Hub Power implemented IBM Maximo edge AI software to manage its critical assets and support its large asset database 77
5.6.6 TELECOM 78
5.6.6.1 Case Study 1: XL Axiata called on Fast Data to disrupt Telco Markets 78
5.6.6.2 Case Study 2: Algar Telecom defined KPI accuracy and improved decisions, quality, and productivity 78
5.6.7 OTHER VERTICALS 79
5.6.7.1 Case Study 1: Omelete created dozens of edge applications on Azion platform to accelerate content delivery and broadcast mega events 79
5.6.7.2 Case Study 2: Lojas Renner used edge applications to deliver a large volume of requests on Black Friday 80
5.7 SUPPLY CHAIN ANALYSIS 81
FIGURE 36 SUPPLY CHAIN ANALYSIS 81
TABLE 6 SUPPLY CHAIN ANALYSIS 82
5.8 REGULATORY IMPLICATIONS 83
5.8.1 GENERAL DATA PROTECTION REGULATION 83
5.8.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT 83
5.8.3 FEDERAL TRADE COMMISSION ACT OF 1914 83
5.8.4 FEDERAL COMMUNICATIONS COMMISSION (FCC) 84
5.8.5 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION AND INTERNATIONAL ELECTROTECHNICAL COMMISSION – ISO/IEC JTC 1/SC 42 84
5.8.6 AIRAWAT (AI RESEARCH, ANALYTICS, AND KNOWLEDGE ASSIMILATION) 84
5.9 PATENT ANALYSIS 84
5.9.1 METHODOLOGY 84
5.9.2 DOCUMENT TYPE 85
TABLE 7 PATENTS FILED, 2019–2022 85
5.9.3 INNOVATION AND PATENT APPLICATIONS 85
FIGURE 37 NUMBER OF PATENTS GRANTED ANNUALLY, 2019–2022 85
5.9.4 TOP APPLICANTS 86
FIGURE 38 TOP 10 PATENT APPLICANTS, 2019–2022 86
5.10 KEY CONFERENCES AND EVENTS, 2022–2023 86
TABLE 8 DETAILED LIST OF CONFERENCES AND EVENTS, 2022–2023 86
5.11 TECHNOLOGY ANALYSIS 87
5.11.1 EDGE AI AND INTERNET OF THINGS (IOT) 87
5.11.2 EDGE AI AND 5G 88
5.11.3 EDGE AI AND BLOCKCHAIN 88
5.11.4 AUGMENTED REALITY/VIRTUAL REALITY (AR/VR) 88
5.12 PRICING ANALYSIS 88
TABLE 9 AVERAGE SELLING PRICE ANALYSIS, 2022 89
5.13 PORTER’S FIVE FORCES ANALYSIS 89
TABLE 10 IMPACT OF PORTER’S FIVE FORCES ON EDGE AI SOFTWARE MARKET 89
FIGURE 39 PORTER’S FIVE FORCES ANALYSIS 90
5.13.1 THREAT OF NEW ENTRANTS 90
5.13.2 THREAT OF SUBSTITUTES 91
5.13.3 BARGAINING POWER OF SUPPLIERS 91
5.13.4 BARGAINING POWER OF BUYERS 91
5.13.5 INTENSITY OF COMPETITIVE RIVALRY 91
5.14 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF EDGE AI SOFTWARE SOLUTIONS AND SERVICES 92
FIGURE 40 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS 92
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA 92
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 92
FIGURE 41 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS 92
TABLE 11 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS 93
5.15.2 BUYING CRITERIA 93
FIGURE 42 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 93
TABLE 12 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 93
6 EDGE AI SOFTWARE MARKET, BY COMPONENT 94
6.1 INTRODUCTION 95
6.1.1 COMPONENTS: EDGE AI SOFTWARE MARKET DRIVERS 95
FIGURE 43 SERVICES SEGMENT TO GROW AT HIGHER CAGR BY 2027 95
TABLE 13 EDGE AI SOFTWARE MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 95
TABLE 14 EDGE AI SOFTWARE MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 96
6.2 SOLUTIONS 96
FIGURE 44 STANDALONE SEGMENT TO GROW AT HIGHER CAGR BY 2027 96
TABLE 15 EDGE AI SOFTWARE MARKET, BY SOLUTION, 2018–2021 (USD MILLION) 96
TABLE 16 EDGE AI SOFTWARE MARKET, BY SOLUTION, 2022–2027 (USD MILLION) 97
TABLE 17 SOLUTIONS: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 97
TABLE 18 SOLUTIONS: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 97
6.2.1 STANDALONE 98
6.2.1.1 Growing demand to optimize corporate operations and fulfill customer requirements 98
TABLE 19 STANDALONE: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 98
TABLE 20 STANDALONE: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 98
6.2.2 INTEGRATED 99
6.2.2.1 Edge AI software integrated with AI and ML to help organizations analyze data in real-time 99
TABLE 21 INTEGRATED: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 99
TABLE 22 INTEGRATED: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 99
6.3 SERVICES 100
6.3.1 TRAINING & CONSULTING 102
6.3.1.1 Growing use of training & consulting services by organizations to gain expertise in strategic planning 102
6.3.2 SYSTEM INTEGRATION & IMPLEMENTATION 103
6.3.2.1 Rising need to test functioning of entire systems 103
6.3.3 SUPPORT & MAINTENANCE 104
6.3.3.1 Increasing need to upgrade and maintain edge AI ecosystem post-implementation 104
TABLE 31 SUPPORT & MAINTENANCE: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 104
TABLE 32 SUPPORT & MAINTENANCE: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 104
7 EDGE AI SOFTWARE MARKET, BY DATA SOURCE 105
7.1 INTRODUCTION 106
7.1.1 DATA SOURCES: EDGE AI SOFTWARE MARKET DRIVERS 106
FIGURE 46 MOBILE DATA SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 107
TABLE 33 EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2018–2021 (USD MILLION) 107
TABLE 34 EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2022–2027 (USD MILLION) 107
7.2 VIDEO & IMAGE RECOGNITION 108
7.2.1 GROWING NEED FOR IMPROVED RESPONSE TIME AND BANDWIDTH SAVINGS 108
TABLE 35 VIDEO & IMAGE RECOGNITION: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 108
TABLE 36 VIDEO & IMAGE RECOGNITION: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 108
7.3 IRIS & FACIAL DATA 109
7.3.1 GROWING DEMAND FOR ENHANCED VERIFICATION PERFORMANCE AND REDUCED ENROLLMENT FAILURE 109
TABLE 37 IRIS AND FACIAL DATA: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 109
TABLE 38 IRIS AND FACIAL DATA: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 109
7.4 SENSOR DATA 110
7.4.1 INCREASING NEED TO ANALYZE SENSOR DATA TO ENABLE USERS PREDICT OUTCOME AND CAPTURE SYNCHRONIZED MOTION SENSOR DATA 110
TABLE 39 SENSOR DATA: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 110
TABLE 40 SENSOR DATA: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 110
7.5 MOBILE DATA 111
7.5.1 GROWING POPULARITY OF SMARTPHONES COUPLED WITH NEED TO MANAGE SOARING SOCIAL MEDIA DATA 111
TABLE 41 MOBILE DATA: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 111
TABLE 42 MOBILE DATA: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 111
7.6 SPEECH RECOGNITION 112
7.6.1 EDGE AI SOFTWARE TO OFFER HUGE OPPORTUNITIES AND PROVIDE BETTER USER EXPERIENCE 112
TABLE 43 SPEECH RECOGNITION: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 112
TABLE 44 SPEECH RECOGNITION: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 112
8 EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE 113
8.1 INTRODUCTION 114
8.1.1 ORGANIZATION SIZES: EDGE AI SOFTWARE MARKET DRIVERS 114
8.2 LARGE ENTERPRISES 115
8.2.1 AVAILABILITY OF IT INFRASTRUCTURE AND RISING NEED TO MANAGE PARTNERS 115
8.3 SMALL AND MEDIUM-SIZED ENTERPRISES 116
8.3.1 GROWING MARKET SHARE OF SMES ACROSS KEY INDUSTRIAL SECTORS 116
9 EDGE AI SOFTWARE MARKET, BY VERTICAL 118
9.1 INTRODUCTION 119
9.1.1 VERTICALS: EDGE AI SOFTWARE MARKET DRIVERS 119
9.2 ENTERPRISE USE CASES 120
FIGURE 48 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR BY 2027 120
TABLE 51 EDGE AI SOFTWARE MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 121
TABLE 52 EDGE AI SOFTWARE MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 121
9.3 GOVERNMENT & PUBLIC SECTOR 122
9.3.1 RISING NEED TO IMPROVE PUBLIC SAFETY AND MANAGE TRAFFIC 122
TABLE 53 GOVERNMENT & PUBLIC SECTOR: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 122
TABLE 54 GOVERNMENT & PUBLIC SECTOR: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 122
9.3.2 GOVERNMENT & PUBLIC SECTOR VERTICAL SUBAPPLICATIONS OF EDGE AI SOFTWARE 123
FIGURE 49 SMART CITY MANAGEMENT SEGMENT TO GROW AT HIGHEST CAGR BY 2027 123
TABLE 55 GOVERNMENT & PUBLIC SECTOR: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2018–2021 (USD MILLION) 123
TABLE 56 GOVERNMENT & PUBLIC SECTOR: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2022–2027 (USD MILLION) 123
9.3.2.1 Traffic management 124
9.3.2.2 Waste or water management 124
9.3.2.3 Smart city management 124
9.3.2.4 Security & law enforcement 124
9.4 MANUFACTURING 125
9.4.1 EDGE AI SOFTWARE TO OFFER PREDICTIVE MAINTENANCE TECHNIQUES TO MANUFACTURING FIRMS 125
TABLE 57 MANUFACTURING: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 125
TABLE 58 MANUFACTURING: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 125
9.4.2 MANUFACTURING VERTICAL SUBAPPLICATIONS OF EDGE AI SOFTWARE 126
FIGURE 50 CONDITION & PRECISION MONITORING SEGMENT TO GROW AT HIGHEST CAGR BY 2027 126
TABLE 59 MANUFACTURING: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2018–2021 (USD MILLION) 126
TABLE 60 MANUFACTURING: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2022–2027 (USD MILLION) 127
9.4.2.1 Predictive maintenance 127
9.4.2.2 Yield optimization 127
9.4.2.3 Condition & precision monitoring 127
9.4.2.4 Quality control 127
9.5 HEALTHCARE & LIFE SCIENCES 128
9.5.1 RISING NEED TO SECURE SENSITIVE PATIENT DATA AND ENHANCE SERVICE 128
TABLE 61 HEALTHCARE & LIFE SCIENCES: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 128
TABLE 62 HEALTHCARE & LIFE SCIENCES: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 128
9.5.2 HEALTHCARE & LIFE SCIENCES VERTICAL SUBAPPLICATIONS OF EDGE AI SOFTWARE 129
FIGURE 51 RADIOLOGY SEGMENT TO GROW AT HIGHEST CAGR BY 2027 129
TABLE 63 HEALTHCARE & LIFE SCIENCES: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2018–2021 (USD MILLION) 129
TABLE 64 HEALTHCARE & LIFE SCIENCES: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2022–2027 (USD MILLION) 130
9.5.2.1 In-hospital patient monitoring 130
9.5.2.2 Fall detection 130
9.5.2.3 Radiology 130
9.5.2.4 Anomaly & injuries detection 131
9.6 ENERGY & UTILITIES 131
9.6.1 EDGE AI SOFTWARE SOLUTIONS TO OFFER ENHANCED PRODUCTION AND SAFETY 131
TABLE 65 ENERGY & UTILITIES: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 131
TABLE 66 ENERGY & UTILITIES: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 132
9.6.2 ENERGY & UTILITIES VERTICAL SUBAPPLICATIONS OF EDGE AI SOFTWARE 132
FIGURE 52 SMARTGRIDS SEGMENT TO GROW AT HIGHEST CAGR BY 2027 132
TABLE 67 ENERGY & UTILITIES: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2018–2021 (USD MILLION) 133
TABLE 68 ENERGY & UTILITIES: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2022–2027 (USD MILLION) 133
9.6.2.1 Energy optimization 133
9.6.2.2 Distributed energy management 133
9.6.2.3 Smart grids 134
9.6.2.4 Pipeline optimization 134
9.7 TELECOM 134
9.7.1 EDGE AI SOFTWARE TO HELP TELECOM COMPANIES PROTECT CUSTOMER DATA AND ENHANCE EFFICIENCY 134
TABLE 69 TELECOM: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 134
TABLE 70 TELECOM: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 134
9.7.2 TELECOM VERTICAL SUBAPPLICATIONS OF EDGE AI SOFTWARE 135
FIGURE 53 FAULT DETECTION SEGMENT TO GROW AT HIGHEST CAGR BY 2027 135
TABLE 71 TELECOM: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2018–2021 (USD MILLION) 135
TABLE 72 TELECOM: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2022–2027 (USD MILLION) 135
9.7.2.1 Network management & optimization 136
9.7.2.2 Customer churn prevention 136
9.7.2.3 Fault detection 136
9.7.2.4 Root cause analysis 136
9.8 MEDIA & ENTERTAINMENT 137
9.8.1 RISING DEMAND FOR EFFECTIVE VIDEO ADVERTISEMENTS AND BETTER CONTENT DELIVERY 137
TABLE 73 MEDIA & ENTERTAINMENT: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 137
TABLE 74 MEDIA & ENTERTAINMENT: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 137
9.8.2 MEDIA & ENTERTAINMENT VERTICAL SUBAPPLICATIONS OF EDGE AI SOFTWARE 138
FIGURE 54 AR/VR/MR SEGMENT TO GROW AT HIGHEST CAGR BY 2027 138
TABLE 75 MEDIA & ENTERTAINMENT: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2018–2021 (USD MILLION) 138
TABLE 76 MEDIA & ENTERTAINMENT: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2022–2027 (USD MILLION) 139
9.8.2.1 Video streaming 139
9.8.2.2 Cloud gaming 139
9.8.2.3 AR/VR/MR 139
9.8.2.4 Content rendering & caching 139
9.9 TRANSPORTATION & LOGISTICS 140
9.9.1 PRIORITIZING IMPROVEMENT IN VEHICLE ROUTING AND CUSTOMER SAFETY 140
TABLE 77 TRANSPORTATION & LOGISTICS: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 140
TABLE 78 TRANSPORTATION & LOGISTICS: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 140
9.9.2 TRANSPORTATION & LOGISTICS VERTICAL SUBAPPLICATIONS OF EDGE AI SOFTWARE 141
FIGURE 55 DEVICE FAILURE SEGMENT TO GROW AT HIGHEST CAGR BY 2027 141
TABLE 79 TRANSPORTATION & LOGISTICS: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2018–2021 (USD MILLION) 141
TABLE 80 TRANSPORTATION & LOGISTICS: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2022–2027 (USD MILLION) 141
9.9.2.1 Supply chain management 142
9.9.2.2 Autonomous vehicles 142
9.9.2.3 Device failure 142
9.9.2.4 Equipment management 142
9.10 OTHER VERTICALS 143
TABLE 81 OTHER VERTICALS: EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 143
TABLE 82 OTHER VERTICALS: EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 144
9.10.1 OTHER VERTICALS SUBAPPLICATIONS OF EDGE AI SOFTWARE 144
FIGURE 56 FRAUD DETECTION & PREVENTION SEGMENT TO GROW AT HIGHEST CAGR BY 2027 144
TABLE 83 OTHER VERTICALS: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2018–2021 (USD MILLION) 144
TABLE 84 OTHER VERTICALS: EDGE AI SOFTWARE MARKET, BY SUBAPPLICATION, 2022–2027 (USD MILLION) 145
9.10.1.1 Weather monitoring 145
9.10.1.2 Identification & access management 145
9.10.1.3 Smart energy systems 145
9.10.1.4 Fraud detection & prevention 146
9.10.1.5 Customer engagement 146

10 EDGE AI SOFTWARE MARKET, BY REGION 147
10.1 INTRODUCTION 148
10.1.1 KEY REGIONS: EDGE AI SOFTWARE MARKET DRIVERS 148
FIGURE 57 ASIA PACIFIC SEGMENT TO GROW AT HIGHEST CAGR BY 2027 149
FIGURE 58 INDIA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 149
TABLE 85 EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION) 150
TABLE 86 EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION) 150
10.2 NORTH AMERICA 151
10.2.1 NORTH AMERICA: REGULATIONS 151
10.2.1.1 Gramm–Leach–Bliley Act 151
10.2.1.2 Personal Information Protection and Electronic Documents Act (PIPEDA) 151
10.2.1.3 Federal Information Security Management Act 152
10.2.1.4 Health Insurance Portability and Accountability Act, 1996 152
10.2.1.5 California Consumer Privacy Act (CCPA), 2018 152
FIGURE 59 NORTH AMERICA: MARKET SNAPSHOT 153
TABLE 87 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 153
TABLE 88 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 154
TABLE 89 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY SOLUTION, 2018–2021 (USD MILLION) 154
TABLE 90 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY SOLUTION, 2022–2027 (USD MILLION) 154
TABLE 91 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY SERVICE, 2018–2021 (USD MILLION) 154
TABLE 92 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY SERVICE, 2022–2027 (USD MILLION) 155
TABLE 93 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 155
TABLE 94 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 155
TABLE 95 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2018–2021 (USD MILLION) 155
TABLE 96 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2022–2027 (USD MILLION) 156
TABLE 97 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 156
TABLE 98 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 156
TABLE 99 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY COUNTRY, 2018–2021 (USD MILLION) 157
TABLE 100 NORTH AMERICA: EDGE AI SOFTWARE MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 157
10.2.2 US 157
10.2.2.1 Increasing innovations and building of state-of-the-art infrastructures 157
10.2.3 CANADA 158
10.2.3.1 Favorable startup ecosystem coupled with rising government investments 158
10.3 EUROPE 158
10.3.1 EUROPE: REGULATIONS 158
10.3.1.1 General Data Protection Regulation 158
10.3.1.2 European Committee for Standardization 159
10.3.1.3 European Technical Standards Institute 159
10.3.1.4 EU Data Governance Act 159
TABLE 101 EUROPE: EDGE AI SOFTWARE MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 159
TABLE 102 EUROPE: EDGE AI SOFTWARE MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 159
TABLE 103 EUROPE: EDGE AI SOFTWARE MARKET, BY SOLUTION, 2018–2021 (USD MILLION) 160
TABLE 104 EUROPE: EDGE AI SOFTWARE MARKET, BY SOLUTION, 2022–2027 (USD MILLION) 160
TABLE 105 EUROPE: EDGE AI SOFTWARE MARKET, BY SERVICE, 2018–2021 (USD MILLION) 160
TABLE 106 EUROPE: EDGE AI SOFTWARE MARKET, BY SERVICE, 2022–2027 (USD MILLION) 160
TABLE 107 EUROPE: EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 160
TABLE 108 EUROPE: EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 161
TABLE 109 EUROPE: EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2018–2021 (USD MILLION) 161
TABLE 110 EUROPE: EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2022–2027 (USD MILLION) 161
TABLE 111 EUROPE: EDGE AI SOFTWARE MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 162
TABLE 112 EUROPE: EDGE AI SOFTWARE MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 162
TABLE 113 EUROPE: EDGE AI SOFTWARE MARKET, BY COUNTRY, 2018–2021 (USD MILLION) 162
TABLE 114 EUROPE: EDGE AI SOFTWARE MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 163
10.3.2 UK 163
10.3.2.1 Rising demand to increase networking infrastructure security across major verticals 163
10.3.3 GERMANY 163
10.3.3.1 Growing digital mobility and digital spending across major industries 163
10.3.4 FRANCE 163
10.3.4.1 Growing investments in technology 163

10.3.5 ITALY 164
10.3.5.1 Rising need to enhance process efficiency 164
10.3.6 REST OF EUROPE 164
10.4 ASIA PACIFIC 164
10.4.1 ASIA PACIFIC: REGULATIONS 164
10.4.1.1 Personal Data Protection Act 164
10.4.1.2 International Organization for Standardization 27001 165
10.4.1.3 Act on Protection of Personal Information 165
10.4.1.4 Critical Information Infrastructure 166
FIGURE 60 ASIA PACIFIC: MARKET SNAPSHOT 166
TABLE 115 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 166
TABLE 116 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 167
TABLE 117 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY SOLUTION, 2018–2021 (USD MILLION) 167
TABLE 118 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY SOLUTION, 2022–2027 (USD MILLION) 167
TABLE 119 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY SERVICE, 2018–2021 (USD MILLION) 167
TABLE 120 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY SERVICE, 2022–2027 (USD MILLION) 167
TABLE 121 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 168
TABLE 122 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 168
TABLE 123 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2018–2021 (USD MILLION) 168
TABLE 124 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2022–2027 (USD MILLION) 168
TABLE 125 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 169
TABLE 126 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 169
TABLE 127 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY COUNTRY, 2018–2021 (USD MILLION) 169
TABLE 128 ASIA PACIFIC: EDGE AI SOFTWARE MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 170
10.4.2 CHINA 170
10.4.2.1 Growing need to manage huge amounts of edge data 170
10.4.3 JAPAN 170
10.4.3.1 Growing adoption of edge technologies to handle huge amounts of data 170
10.4.4 INDIA 170
10.4.4.1 Increasing government initiatives to support disruptive technologies 170
10.4.5 SINGAPORE 171
10.4.5.1 Increasing number of IoT and edge startups 171
10.4.6 REST OF ASIA PACIFIC 171
10.5 MIDDLE EAST & AFRICA 171
10.5.1 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET DRIVERS 172
10.5.2 MIDDLE EAST & AFRICA: REGULATIONS 172
10.5.2.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017 172
10.5.2.2 Cloud Computing Framework 172
10.5.2.3 GDPR Applicability in KSA 173
10.5.2.4 Protection of Personal Information Act 173
10.5.2.5 TRA’s IoT Regulatory Policy 173
TABLE 129 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 174
TABLE 130 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 174
TABLE 131 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY SOLUTION, 2018–2021 (USD MILLION) 174
TABLE 132 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY SOLUTION, 2022–2027 (USD MILLION) 174
TABLE 133 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY SERVICE, 2018–2021 (USD MILLION) 175
TABLE 134 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY SERVICE, 2022–2027 (USD MILLION) 175
TABLE 135 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 175
TABLE 136 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 175
TABLE 137 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2018–2021 (USD MILLION) 176
TABLE 138 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2022–2027 (USD MILLION) 176
TABLE 139 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 176
TABLE 140 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 177
TABLE 141 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY COUNTRY, 2018–2021 (USD MILLION) 177
TABLE 142 MIDDLE EAST & AFRICA: EDGE AI SOFTWARE MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 177
10.5.3 UAE 178
10.5.3.1 Rapid IT resource deployment coupled with government initiatives 178
10.5.4 SAUDI ARABIA 178
10.5.4.1 Favorable startup ecosystem coupled with growing inclination toward advanced technology 178
10.5.5 SOUTH AFRICA 178
10.5.5.1 Rising investments by edge AI software vendors 178
10.5.6 ISRAEL 179
10.5.6.1 Presence of several AI startups coupled with strong regulatory landscape 179
10.5.7 REST OF MIDDLE EAST & AFRICA 179
10.6 LATIN AMERICA 179
10.6.1 LATIN AMERICA: EDGE AI SOFTWARE MARKET DRIVERS 180
10.6.2 LATIN AMERICA: REGULATIONS 180
10.6.2.1 Brazil Data Protection Law 180
10.6.2.2 Argentina Personal Data Protection Law No. 25.326 180
TABLE 143 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY COMPONENT, 2018–2021 (USD MILLION) 181
TABLE 144 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 181
TABLE 145 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY SOLUTION, 2018–2021 (USD MILLION) 181
TABLE 146 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY SOLUTION, 2022–2027 (USD MILLION) 181
TABLE 147 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY SERVICE, 2018–2021 (USD MILLION) 181
TABLE 148 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY SERVICE, 2022–2027 (USD MILLION) 182
TABLE 149 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 182
TABLE 150 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 182
TABLE 151 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2018–2021 (USD MILLION) 182
TABLE 152 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2022–2027 (USD MILLION) 183
TABLE 153 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY VERTICAL, 2018–2021 (USD MILLION) 183
TABLE 154 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 183
TABLE 155 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY COUNTRY, 2018–2021 (USD MILLION) 184
TABLE 156 LATIN AMERICA: EDGE AI SOFTWARE MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 184
10.6.3 BRAZIL 184
10.6.3.1 Increasing need to incorporate edge AI solutions and services to boost businesses 184
10.6.4 MEXICO 184
10.6.4.1 Growing migration of applications and IT infrastructure to cloud 184
10.6.5 REST OF LATIN AMERICA 184
11 COMPETITIVE LANDSCAPE 185
11.1 OVERVIEW 185
11.2 STRATEGIES ADOPTED BY KEY PLAYERS 185
TABLE 157 OVERVIEW OF STRATEGIES ADOPTED BY KEY EDGE AI VENDORS, 2022 185

11.3 REVENUE ANALYSIS 188
11.3.1 HISTORICAL REVENUE ANALYSIS 188
FIGURE 61 HISTORICAL REVENUE ANALYSIS OF TOP FIVE LEADING PLAYERS, 2019–2021 (USD MILLION) 188
11.4 MARKET SHARE ANALYSIS 189
FIGURE 62 MARKET SHARE ANALYSIS OF KEY COMPANIES, 2022 189
TABLE 158 EDGE AI SOFTWARE MARKET: DEGREE OF COMPETITION 189
11.5 MARKET EVALUATION FRAMEWORK 190
FIGURE 63 MARKET EVALUATION FRAMEWORK: EXPANSIONS AND CONSOLIDATIONS IN EDGE AI SOFTWARE MARKET, 2020—2022 190
11.6 COMPANY EVALUATION QUADRANT FOR KEY PLAYERS, 2021 191
11.6.1 STARS 191
11.6.2 EMERGING LEADERS 191
11.6.3 PERVASIVE PLAYERS 191
11.6.4 PARTICIPANTS 191
FIGURE 64 COMPANY EVALUATION QUADRANT FOR KEY PLAYERS, 2022 192
11.7 COMPETITIVE BENCHMARKING 193
11.7.1 COMPANY PRODUCT FOOTPRINT 193
FIGURE 65 PRODUCT PORTFOLIO ANALYSIS OF TOP PLAYERS 193
FIGURE 66 BUSINESS STRATEGY EXCELLENCE OF TOP PLAYERS 194
TABLE 159 EDGE AI SOFTWARE MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS, 2022 195
11.8 EVALUATION QUADRANT FOR STARTUPS/SMES, 2021 195
11.8.1 PROGRESSIVE COMPANIES 195
11.8.2 RESPONSIVE COMPANIES 196
11.8.3 DYNAMIC COMPANIES 196
11.8.4 STARTING BLOCKS 196
FIGURE 67 EVALUATION QUADRANT FOR STARTUPS/SMES 196
11.9 COMPETITIVE BENCHMARKING FOR STARTUPS/SMES, 2021 197
11.9.1 COMPANY PRODUCT FOOTPRINT 197
FIGURE 68 PRODUCT PORTFOLIO ANALYSIS OF STARTUPS/SMES 197
FIGURE 69 BUSINESS STRATEGY EXCELLENCE OF STARTUPS/SMES 197
TABLE 160 EDGE AI SOFTWARE MARKET: COMPETITIVE BENCHMARKING OF STARTUP/SMES, 2022 198
TABLE 161 EDGE AI SOFTWARE MARKET: DETAILED LIST OF KEY STARTUPS/SMES 198
11.10 COMPETITIVE SCENARIO AND TRENDS 199
11.10.1 PRODUCT LAUNCHES 199
TABLE 162 SERVICE/PRODUCT LAUNCHES, 2019–2022 199
11.10.2 DEALS 202
TABLE 163 DEALS, 2019–2022 202

12 COMPANY PROFILES 211
12.1 INTRODUCTION 211
(Business Overview, Solutions/Services offered, Recent Developments, MnM view, Key strengths/right to win, Strategic choices made, Weakness/competitive threats) *
12.2 KEY PLAYERS 212
12.2.1 MICROSOFT 212
TABLE 164 MICROSOFT: BUSINESS OVERVIEW 212
FIGURE 70 MICROSOFT: COMPANY SNAPSHOT 213
TABLE 165 MICROSOFT: SOLUTIONS/SERVICES OFFERED 213
TABLE 166 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS 214
TABLE 167 MICROSOFT: DEALS 214
12.2.2 IBM 217
TABLE 168 IBM: BUSINESS OVERVIEW 217
FIGURE 71 IBM: COMPANY SNAPSHOT 218
TABLE 169 IBM: SOLUTIONS/SERVICES OFFERED 218
TABLE 170 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS 219
TABLE 171 IBM: DEALS 220
12.2.3 GOOGLE 222
TABLE 172 GOOGLE: BUSINESS OVERVIEW 222
FIGURE 72 GOOGLE: COMPANY SNAPSHOT 223
TABLE 173 GOOGLE: SOLUTIONS/SERVICES OFFERED 223
TABLE 174 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS 224
TABLE 175 GOOGLE: DEALS 224
12.2.4 AWS 227
TABLE 176 AWS: BUSINESS OVERVIEW 227
FIGURE 73 AWS: COMPANY SNAPSHOT 227
TABLE 177 AWS: SOLUTIONS/SERVICES OFFERED 228
TABLE 178 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS 228
TABLE 179 AWS: DEALS 229
12.2.5 NUTANIX 231
TABLE 180 NUTANIX: BUSINESS OVERVIEW 231
FIGURE 74 NUTANIX: COMPANY SNAPSHOT 232
TABLE 181 NUTANIX: SOLUTIONS/SERVICES OFFERED 232
TABLE 182 NUTANIX: PRODUCT LAUNCHES AND ENHANCEMENTS 233
TABLE 183 NUTANIX: DEALS 233
12.2.6 SYNAPTICS 235
TABLE 184 SYNAPTICS: BUSINESS OVERVIEW 235
FIGURE 75 SYNAPTICS: COMPANY SNAPSHOT 236
TABLE 185 SYNAPTICS: SOLUTIONS/SERVICES OFFERED 237
TABLE 186 SYNAPTICS: PRODUCT LAUNCHES AND ENHANCEMENTS 237
TABLE 187 SYNAPTICS: DEALS 238
12.2.7 GORILLA TECHNOLOGY 239
TABLE 188 GORILLA TECHNOLOGY: BUSINESS OVERVIEW 239
FIGURE 76 GORILLA TECHNOLOGY: COMPANY SNAPSHOT 239
TABLE 189 GORILLA TECHNOLOGY: SOLUTIONS/SERVICES OFFERED 240
TABLE 190 GORILLA TECHNOLOGY: PRODUCT LAUNCHES AND ENHANCEMENTS 240
TABLE 191 GORILLA TECHNOLOGY: DEALS 240
12.2.8 TIBCO SOFTWARE 243
TABLE 192 TIBCO: BUSINESS OVERVIEW 243
TABLE 193 TIBCO: SOLUTIONS/SERVICES OFFERED 243
TABLE 194 TIBCO: PRODUCT LAUNCHES AND ENHANCEMENTS 244
TABLE 195 TIBCO: DEALS 245
12.2.9 OCTONION 246
TABLE 196 OCTONION: BUSINESS OVERVIEW 246
TABLE 197 OCTONION: SOLUTIONS/SERVICES OFFERED 246
TABLE 198 OCTONION: PRODUCT LAUNCHES AND ENHANCEMENTS 247
12.2.10 IMAGIMOB 248
TABLE 199 IMAGIMOB: BUSINESS OVERVIEW 248
TABLE 200 IMAGIMOB: SOLUTIONS/SERVICES OFFERED 248
TABLE 201 IMAGIMOB: PRODUCT LAUNCHES AND ENHANCEMENTS 249
TABLE 202 IMAGIMOB: DEALS 249
12.2.11 ANAGOG 250
TABLE 203 ANAGOG: BUSINESS OVERVIEW 250
TABLE 204 ANAGOG: SOLUTIONS/SERVICES OFFERED 250
TABLE 205 ANAGOG: PRODUCT LAUNCHES AND ENHANCEMENTS 251
TABLE 206 ANAGOG: DEALS 251
12.2.12 VEEA 252
TABLE 207 VEEA: BUSINESS OVERVIEW 252
TABLE 208 VEEA: SOLUTIONS/SERVICES OFFERED 252
TABLE 209 VEEA: PRODUCT LAUNCHES AND ENHANCEMENTS 253
TABLE 210 VEEA: DEALS 253
12.2.13 FOGHORN SYSTEMS 255
12.2.14 AZION 255
12.2.15 BRAGI 256
12.2.16 TACT.AI 256
12.2.17 SIXSQ 257
12.2.18 CLEARBLADE 258
12.2.19 ALEF EDGE 258
12.2.20 ADAPDIX 259
12.3 STARTUPS/SMES 260
12.3.1 BYTELAKE 260
12.3.2 REALITY AI 260
12.3.3 DECI 261
12.3.4 EDGEWORX 261
12.3.5 SWIM 262
12.3.6 INVISION AI 262
12.3.7 HORIZON ROBOTICS 263
12.3.8 KNERON 264
12.3.9 DEEPBRAINZ 264
12.3.10 STRATAHIVE 265
*Details on Business Overview, Solutions/Services offered, Recent Developments, MnM view, Key strengths/right to win, Strategic choices made, Weakness/competitive threats might not be captured in case of unlisted companies.
13 ADJACENT AND RELATED MARKETS 266
13.1 INTRODUCTION 266
13.2 EDGE COMPUTING MARKET – GLOBAL FORECAST TO 2027 266
13.2.1 MARKET DEFINITION 266
13.2.2 MARKET OVERVIEW 266
13.2.2.1 Edge computing market, by component 266
TABLE 211 EDGE COMPUTING MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 267
TABLE 212 EDGE COMPUTING MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 267
13.2.2.2 Edge computing market, by application 267
TABLE 213 EDGE COMPUTING MARKET, BY APPLICATION, 2016–2020 (USD MILLION) 267
TABLE 214 EDGE COMPUTING MARKET, BY APPLICATION, 2021–2026 (USD MILLION) 268
13.2.2.3 Edge computing market, by organization size 268
TABLE 215 EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2016–2020 (USD MILLION) 268
TABLE 216 EDGE COMPUTING MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION) 268
13.2.2.4 Edge computing market, by vertical 269
TABLE 217 EDGE COMPUTING MARKET, BY VERTICAL, 2016–2020 (USD MILLION) 269
TABLE 218 EDGE COMPUTING MARKET, BY VERTICAL, 2021–2026 (USD MILLION) 269
13.2.2.5 Edge computing market, by region 270
TABLE 219 EDGE COMPUTING MARKET, BY REGION, 2016–2020 (USD MILLION) 270
TABLE 220 EDGE COMPUTING MARKET, BY REGION, 2021–2027 (USD MILLION) 270
13.3 ARTIFICIAL INTELLIGENCE MARKET – GLOBAL FORECAST TO 2027 271
13.3.1 MARKET DEFINITION 271
13.3.2 MARKET OVERVIEW 271
13.3.2.1 Artificial intelligence market, by offering 271
TABLE 221 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION) 271
TABLE 222 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION) 272
13.3.2.2 Artificial intelligence market, by technology 272
TABLE 223 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION) 272
TABLE 224 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION) 272
13.3.2.3 Artificial intelligence market, by deployment mode 273
TABLE 225 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION) 273
TABLE 226 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION) 273
13.3.2.4 Artificial intelligence market, by organization size 273
TABLE 227 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD BILLION) 274
TABLE 228 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD BILLION) 274
13.3.2.5 Artificial intelligence market, by business function 274
TABLE 229 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION) 274
TABLE 230 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION) 275
13.3.2.6 Artificial intelligence market, by vertical 275
TABLE 231 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION) 275
TABLE 232 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION) 276
13.3.2.7 Artificial intelligence market, by region 276
TABLE 233 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 276
TABLE 234 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 277
14 APPENDIX 278
14.1 INDUSTRY EXPERTS 278
14.2 DISCUSSION GUIDE 278
14.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 284
14.4 CUSTOMIZATION OPTIONS 286
14.5 RELATED REPORTS 286
14.6 AUTHOR DETAILS 287


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