Computer Vision is a field of Artificial Intelligence and Computer Science that provides computers a visual understanding of the globe. Computer vision is primarily concerned with the theory and technology for structuring the artificial systems that contain important information from images or multi-dimensional data. Computer vision is primarily being concerned with the automatic extraction, analysis, and understanding of meaningful data from a single image or a sequence of images. It involves the development of a theoretical and algorithmic basis to achieve automatic visual understanding.
computer vision technology is primarily being adopted across the globe, highly dependent on the application. Applications like machine vision and gaming, security and surveillance, and others. In which some are leading in the market, whereas some are just emerging. The value provided by applications, coupled with innovation in business models, will dictate the growth of the market over the next 10 years. Marketing buzz from large companies will also play a large part in adopting technologies like virtual reality (VR).
The market is gaining momentum across various application areas, which further enhance the market. In addition, the device manufacturers, semiconductor and component companies, and software developers have all made significant investments in technology development. Many companies have demonstrated various prototypes, and a very few have moved into full production mode. Meanwhile, consumer awareness and enthusiasm for computer vision-based applications continues to grow.
The Computer Vision Market is expected to reach $9.62 billion by 2023, growing at a CAGR of around 31.60% during the forecast period.
The rapid development of technology, declining chip prices, and with the growing connectivity are major factors, for propelling computer vision technologies. The market is being considered to be a horizontal market, as the applications are widespread across different application segments. Each vertical market has its own drivers and challenges, as well as its own market ecosystem and business models.
Furthermore, the American region is experiencing significant growth due to the developed infrastructure in the region boosting the computer vision market, followed by APAC and EMEA during the forecast period.
The report provides a wide-range evaluation of the market. It provides in-depth qualitative insights, historical data, and supportable projections and assumptions about the market size. The projections featured in the report have been derived using proven research methodologies and assumptions based on the vendor's portfolio, blogs, whitepapers, and vendors' presentations. Thus, the research report serves every side of the market and is segmented based on regional markets, types, and applications.
The report contains an in-depth analysis of the vendor profiles, which include financial health, business units, key business priorities, SWOT, strategy, and views; and competitive landscape. The key and prominent vendors that are covered in the report include Mobileye, Mercedes-Benz, Google, Autoliv, Facebook, and others. Most of the major players are in the American region. The vendors have been identified based on the portfolio, geographical presence, marketing & distribution channels, revenue generation, and significant investments in R&D.
The counties covered in the report are Canada, the US, China, India, Japan, and Germany. Among these Japan, the US, and China are expected to grow at a high rate during the forecast period (2017-2023) owing to the increase in the penetration rate of e-commere, connected devices, and increasing the number of data centers.
The report covers and analyzes the Computer Vision market. Various strategies, such as joint ventures, partnerships, collaborations, and contracts, have also included accordingly. In addition, as customers are in search of better solutions, there is expected to be a rising number of partnerships. There is likely to be an increase in the number of mergers, acquisitions, and strategic partnerships during the forecast period.
The report includes a complete insight of the industry and aims to provide an opportunity for the emerging and established players to understand the market trends, current scenario, initiative taken by the government, and the latest technology related to the market. In addition, it also helps the venture capitalists in understanding the companies better and take informed decisions.
The Americas is the dominating region, which holds the largest share for Computer Vision owing to the need for better and cost-effective solutions for smart devices is driving the growth of the technology in this region. In addition, APAC is also fuelling the market with a lot of opportunities for the technology market growth, mainly due to government initiatives for the development of smart cities, increasing FDI, the need for energy-efficient technology, and demand for increased safety and security.
EMEA is also driving the computer vision market as most of the computer vision-based systems are being deployed currently in high-end, luxury cars and they primarily dominate that segment. The computer vision market is closely correlated to the luxury car market. Thus, the computer vision market will witness a high growth rate in this region due to the increase in the adoption of computer vision technology in the automotive segment.
The report provides an in-depth analysis of the Computer Vision aiming to secure the data and services, reduce operational cost, improve business efficiency, and operational performance. With the help of Computer vision, various organizations can increase productivity and efficiency and can ensure the protection of the data. They can easily be integrated with other applications. They can be installed either on-premises or even through the networks of the vendors. In addition, the solutions are proven to be reliable and improves scalability. The report discusses the organization size, deployment mode, end-users, and regions. Further, the report provides details about the major challenges impacting market growth.
Table of Contents
1 Industry Outlook 10
1.1 Industry Overview 10
1.2 Industry Trends 10
1.3 PEST Analysis 11
2 Report Outline 11
2.1 Report Scope 11
2.2 Report Summary 12
2.3 Research Methodology 13
2.4 Report Assumptions 13
3 Market Snapshot 13
3.1 Total Addressable Market 14
3.2 Segmented Addressable Market 14
3.3 Related Markets 15
3.3.1 AI in Homes 15
3.3.2 Smart Meters 15
4 Market Outlook 16
4.1 Overview of 16
4.1.1 Market Definition – Infoholic Research 16
4.2 Market Trends and Impact 17
4.3 Market Segmentation 17
4.4 Porter 5 (Five) Forces 18
5 Market Characteristics 19
5.1 Evolution 19
5.2 Value Chain 20
5.3 Benefits and Challenges of Smart Homes M2M Market 20
5.4 Factors Influencing Smart Home Solutions Choice 21
5.5 Market Dynamics 21
5.5.1 Drivers 22
5.5.1.1 Enhanced global broadband connectivity 22
5.5.1.2 Increased investment in smart cities, IoT, and M2M communication system 22
5.5.1.3 Adoption of digital lifestyle 22
5.5.1.4 Need for safety and security arrangement 22
5.5.2 Restraints 23
5.5.2.1 High upfront cost 23
5.5.2.2 Lack of standards and interoperability 23
5.5.2.3 Low awareness 23
5.5.3 Opportunities 24
5.5.3.1 Opportunities for growth of wearable devices 24
5.5.3.2 Opportunities from developing economy 24
5.5.3.3 Opportunities for telecom providers 24
5.6 DRO – Impact Analysis 25
6 Applications 25
6.1 Overview of 25
6.2 Medical, robotics & machine Vision 26
6.2.1 Market Size and Analysis 27
6.3 Consumer 27
6.3.1 Market Size and Analysis 28
6.4 Sports & Entertainment 28
6.4.1 Market Size and Analysis 28
6.5 Automotive 29
6.5.1 Market Size and Analysis 29
6.6 Security & Surveillance 30
6.6.1 Market Size and Analysis 30
6.7 Others 31
6.7.1 Market Size and Analysis 31
7 Type 32
7.1 Overview of 32
7.2 Hardware 33
7.3 Software 34
8 Regions 36
8.1 Overview of 36
8.2 Americas 36
8.2.1 Market Size and Analysis 37
8.2.2 DRO for the Americas 37
8.2.3 US 38
8.2.4 Canada 39
8.2.5 Brazil 39
8.3 Europe 40
8.3.1 Market Size and Analysis 40
8.3.2 DRO for Europe 40
8.3.3 UK 42
8.3.4 France 42
8.3.5 Germany 42
8.4 Asia Pacific 43
8.4.1 Market Size and Analysis 43
8.4.2 DRO for APAC 44
8.4.3 India 45
8.4.4 China 45
8.4.5 Japan 45
8.5 Middle East & Africa 46
8.5.1 Market Size and Analysis 46
8.5.2 DRO for MEA 47
8.5.3 South Africa 48
8.5.4 GCC 48
9 Vendor Profiles 48
9.1 Cisco System 48
9.1.1 Overview 48
9.1.2 Business Units 49
9.1.3 Geographic Revenue 50
9.1.4 Business Focus 51
9.1.5 SWOT Analysis 52
9.1.6 Business Strategies 52
9.2 Google Inc. 53
9.2.1 Overview 53
9.2.2 Business Units 54
9.2.3 Geographic Revenue 55
9.2.4 Business Focus 56
9.2.5 SWOT Analysis 56
9.2.6 Business Strategies 57
9.3 General Electric 58
9.3.1 Overview 58
9.3.2 Business Units 59
9.3.3 Geographic Revenue 60
9.3.4 Business Focus 61
9.3.5 SWOT Analysis 61
9.3.6 Business Strategies 62
9.4 Panasonic 63
9.4.1 Overview 63
9.4.2 Business Units 64
9.4.3 Geographic Revenue 65
9.4.4 Business Focus 66
9.4.5 SWOT Analysis 66
9.4.6 Business Strategies 67
9.5 Honeywell International Inc. 68
9.5.1 Overview 68
9.5.2 Business Units 68
9.5.3 Geographic Revenue 69
9.5.4 Business Focus 70
9.5.5 SWOT Analysis 70
9.5.6 Business Strategies 71
10 Global Generalist 72
10.1 Microsoft Corp. 72
10.1.1 Overview 72
10.1.2 Microsoft Market 72
10.1.3 Microsoft in Smart Homes M2M market 73
10.2 IBM Corp. 74
10.2.1 Overview 74
10.2.2 IBM Corp. Market 74
10.2.3 IBM in Smart Homes M2M Market 75
10.3 ABB Ltd. 75
10.3.1 Overview 75
10.3.2 ABB Market 75
10.3.3 ABB Ltd. in Smart Homes M2M Market 76
10.4 SAP SE 77
10.4.1 Overview 77
10.4.2 SAP SE Market 77
10.4.3 SAP SE in Smart Homes Market 78
10.5 Apple 78
10.5.1 Overview 78
10.5.2 Apple Market 78
10.5.3 Apple in Smart Homes M2M Market 79
Annexure 80
Abbreviations 80
List of Tables
TABLE 1 COMPUTER VISION MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION) 33
TABLE 2 SMART HOMES M2M MARKET REVENUE BY CONNECTIVITY TECHNOLOGIES, 2017–2023 ($BILLION) 41
TABLE 3 COMPUTER VISION MARKET SHARE BY REGIONS, 2017–2023 ($BILLION) 43
TABLE 4 DRO FOR THE AMERICAS 45
TABLE 5 AMERICAS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION) 45
TABLE 6 AMERICAS MARKET REVENUE BY TECHNOLOGY, 2017–2023 ($BILLION) 45
TABLE 7 DRO FOR APAC 47
TABLE 8 APAC MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION) 48
TABLE 9 APAC MARKET REVENUE BY TYPE, 2017–2023 ($BILLION) 48
TABLE 10 DRO FOR EMEA 50
TABLE 11 EMEA MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION) 51
TABLE 12 EMEA MARKET REVENUE BY TYPE, 2017–2023 ($BILLION) 51
List of Charts
CHART 1 PEST ANALYSIS OF COMPUTER VISION MARKET 14
CHART 2 RESEARCH METHODOLOGY OF COMPUTER VISION MARKET 16
CHART 3 AI MARKET REVENUE, 2017–2023 ($BILLION) 17
CHART 4 COMPUTER VISION MARKET REVENUE, 2017–2023 ($BILLION) 19
CHART 5 COMPUTER VISION MARKET SEGMENTATION 22
CHART 6 PORTER 5 FORCES OF COMPUTER VISION MARKET 22
CHART 7 EVOLUTION OF COMPUTER VISION MARKET 23
CHART 8 VALUE CHAIN OF COMPUTER VISION MARKET 24
CHART 9 FACTORS AFFECTING THE CHOICE OF COMPUTER VISION 25
CHART 10 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES 25
CHART 11 DRO – IMPACT ANALYSIS OF COMPUTER VISION MARKET 32
CHART 12 COMPUTER VISION MARKET SHARE BY APPLICATIONS, 2017 AND 2023 33
CHART 13 MEDICAL MARKET REVENUE, 2017–2023 ($BILLION) 34
CHART 14 CONSUMER MARKET REVENUE, 2017–2023 ($BILLION) 35
CHART 15 SPORTS & ENTERTAINMENT MARKET REVENUE, 2017–2023 ($BILLION) 36
CHART 16 AUTOMOTIVE MARKET REVENUE, 2017–2023 ($BILLION) 37
CHART 17 SECURITY & SURVEILLANCE MARKET REVENUE, 2017–2023 ($BILLION) 38
CHART 18 COMPUTER VISION MARKET SHARE BY TYPE, 2017 AND 2023 40
CHART 19 HARDWARE MARKET REVENUE, 2017–2023 ($BILLION) 41
CHART 20 SOFTWARE MARKET REVENUE, 2017–2023 ($BILLION) 42
CHART 21 COMPUTER VISION MARKET SHARE BY REGIONS, 2017 AND 2023 43
CHART 22 AMERICAS MARKET REVENUE, 2017–2023 ($BILLION) 44
CHART 23 APAC MARKET REVENUE, 2017–2023 ($BILLION) 47
CHART 24 EUROPE MARKET REVENUE, 2017–2023 ($BILLION) 50
CHART 25 MOBILEYE: OVERVIEW SNAPSHOT 53
CHART 26 MOBILEYE: BUSINESS UNITS 53
CHART 27 MOBILEYE: GEOGRAPHIC REVENUE 53
CHART 28 MOBILEYE: SWOT ANALYSIS 53
CHART 29 MERCEDES-BENZ: OVERVIEW SNAPSHOT 54
CHART 30 MERCEDES-BENZ: BUSINESS UNITS 54
CHART 31 MERCEDES-BENZ: GEOGRAPHIC REVENUE 54
CHART 32 MERCEDES-BENZ: SWOT ANALYSIS 55
CHART 33 CISCO SYSTEM: OVERVIEW SNAPSHOT 56
CHART 34 GOOGLE: BUSINESS UNITS 56
CHART 35 GOOGLE: GEOGRAPHIC REVENUE 56
CHART 36 GOOGLE: SWOT ANALYSIS 57
CHART 37 AUTOLIV INC.: OVERVIEW SNAPSHOT 57
CHART 38 AUTOLIV INC.: BUSINESS UNITS 58
CHART 39 AUTOLIV INC.: GEOGRAPHIC REVENUE 58
CHART 40 AUTOLIV INC.: SWOT ANALYSIS 58
CHART 41 FACEBOOK: OVERVIEW SNAPSHOT 59
CHART 42 FACEBOOK: BUSINESS UNITS 59
CHART 43 FACEBOOK: GEOGRAPHIC REVENUE 59
CHART 44 FACEBOOK: SWOT ANALYSIS 59
CHART 45 COGNEX CORPORATION: OVERVIEW SNAPSHOT 60
CHART 46 COGNEX CORPORATION: BUSINESS UNITS 60
CHART 47 COGNEX CORPORATION: GEOGRAPHIC REVENUE 60
CHART 48 COGNEX CORPORATION: SWOT ANALYSIS 61
CHART 49 GENERAL ELECTRIC: OVERVIEW SNAPSHOT 62
CHART 50 GENERAL ELECTRIC: BUSINESS UNITS 62
CHART 51 GENERAL ELECTRIC: GEOGRAPHIC REVENUE 62
CHART 52 GENERAL ELECTRIC: SWOT ANALYSIS 62
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