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 the 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 depends 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.
According to this research, 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, America 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.
Market Segmentation Analysis:
The report provides a wide-range evaluation of the market. It provides an 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 vendors 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.
Countries and Vertical Analysis:
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 the prominent vendors are covered in the report includes 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 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 for the better solutions, there is expected to be a rising number of partnerships. There is likely to be an increase in the number of mergers, acquistions, and strategic partnership 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 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, computer vision market will witness a high growth rate in this region due to the increase in 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 the 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 scalibility. The report discusses about the organization size, deployment mode, end-users, and regions. Further, the report provides details about the major challenges impacting the market growth.
1. Industry Outlook
1.1 Industry Overview
1.2 Industry Trends
1.3 PEST Analysis
2. Report Outline
2.1 Report Scope
2.2 Report Summary
2.3 Research Methodology
2.4 Report Assumptions
3. Market Snapshot
3.1 Total Addressable Market
3.2 Segmented Addressable Market
3.3 Related Markets
3.3.1 AI in Homes
3.3.2 Smart Meters
4. Market Outlook
4.1.1 Market Definition
4.2 Market Trends and Impact
4.3 Market Segmentation
4.4 Porter 5 (Five) Forces
5. Market Characteristics
5.2 Value Chain
5.3 Benefits and Challenges of Smart Homes M2M Market
5.4 Factors Influencing Smart Home Solutions Choice
5.5 Market Dynamics
22.214.171.124 Enhanced global broadband connectivity
126.96.36.199 Increased investment in smart cities, IoT, and M2M communication system
188.8.131.52 Adoption of digital lifestyle
184.108.40.206 Need for safety and security arrangement
220.127.116.11 High upfront cost
18.104.22.168 Lack of standards and interoperability
22.214.171.124 Low awareness
126.96.36.199 Opportunities for growth of wearable devices
188.8.131.52 Opportunities from developing economy
184.108.40.206 Opportunities for telecom providers
5.6 DRO - Impact Analysis
6.2 Medical, robotics & machine Vision
6.2.1 Market Size and Analysis
6.3.1 Market Size and Analysis
6.4 Sports & Entertainment
6.4.1 Market Size and Analysis
6.5.1 Market Size and Analysis
6.6 Security & Survillence
6.6.1 Market Size and Analysis
6.7.1 Market Size and Analysis
8.2.1 Market Size and Analysis
8.2.2 DRO for the Americas
8.3.1 Market Size and Analysis
8.3.2 DRO for Europe
8.4 Asia Pacific
8.4.1 Market Size and Analysis
8.4.2 DRO for APAC
8.5 Middle East & Africa
8.5.1 Market Size and Analysis
8.5.2 DRO for MEA
8.5.3 South Africa
9. Vendor Profiles
9.1 Cisco System
9.1.2 Business Units
9.1.3 Geographic Revenue
9.1.4 Business Focus
9.1.5 SWOT Analysis
9.1.6 Business Strategies
9.2 Google Inc.
9.2.2 Business Units
9.2.3 Geographic Revenue
9.2.4 Business Focus
9.2.5 SWOT Analysis
9.2.6 Business Strategies
9.3 General Electric
9.3.2 Business Units
9.3.3 Geographic Revenue
9.3.4 Business Focus
9.3.5 SWOT Analysis
9.3.6 Business Strategies
9.4.2 Business Units
9.4.3 Geographic Revenue
9.4.4 Business Focus
9.4.5 SWOT Analysis
9.4.6 Business Strategies
9.5 Honeywell International Inc.
9.5.2 Business Units
9.5.3 Geographic Revenue
9.5.4 Business Focus
9.5.5 SWOT Analysis
9.5.6 Business Strategies
10. Global Generalist
10.1 Microsoft Corp.
10.1.2 Microsoft Market
10.1.3 Microsoft in Smart Homes M2M market
10.2 IBM Corp.
10.2.2 IBM Corp. Market
10.2.3 IBM in Smart Homes M2M Market
10.3 ABB Ltd.
10.3.2 ABB Market
10.3.3 ABB Ltd. in Smart Homes M2M Market
10.4 SAP SE
10.4.2 SAP SE Market
10.4.3 SAP SE in Smart Homes Market
10.5.2 Apple Market
10.5.3 Apple in Smart Homes M2M Market
List of Tables:
Table 1 Computer Vision Market Revenue by Applications, 2017-2023 ($Billion)
Table 2 Smart Homes M2M Market Revenue by Connectivity Technologies, 2017-2023 ($Billion)
Table 3 Computer Vision Market Share by Regions, 2017-2023 ($Billion)
Table 4 DRO for the Americas
Table 5 Americas Market Revenue by Applications, 2017-2023 ($Billion)
Table 6 Americas Market Revenue by Technology, 2017-2023 ($Billion)
Table 7 DRO for APAC
Table 8 APAC Market Revenue by Applications, 2017-2023 ($Billion)
Table 9 APAC Market Revenue by Type, 2017-2023 ($Billion)
Table 10 DRO for EMEA
Table 11 EMEA Market Revenue by Applications, 2017-2023 ($Billion)
Table 12 EMEA Market Revenue by Type, 2017-2023 ($Billion)
List of Charts:
Chart 1 Pest Analysis of Computer Vision Market
Chart 2 Research Methodology of Computer Vision Market
Chart 3 Ai Market Revenue, 2017-2023 ($Billion)
Chart 4 Computer Vision Market Revenue, 2017-2023 ($Billion)
Chart 5 Computer Vision Market Segmentation
Chart 6 Porter 5 Forces of Computer Vision Market
Chart 7 Evolution of Computer Vision Market
Chart 8 Value Chain of Computer Vision Market
Chart 9 Factors Affecting the Choice of Computer Vision
Chart 10 Market Dynamics - Drivers, Restraints & Opportunities
Chart 11 Dro - Impact Analysis of Computer Vision Market
Chart 12 Computer Vision Market Share by Applications, 2017 And 2023
Chart 13 Medical Market Revenue, 2017-2023 ($Billion)
Chart 14 Consumer Market Revenue, 2017-2023 ($Billion)
Chart 15 Sports & Entertainment Market Revenue, 2017-2023 ($Billion)
Chart 16 Automotive Market Revenue, 2017-2023 ($Billion)
Chart 17 Security & Surveillance Market Revenue, 2017-2023 ($Billion)
Chart 18 Computer Vision Market Share by Type, 2017 And 2023
Chart 19 Hardware Market Revenue, 2017-2023 ($Billion)
Chart 20 Software Market Revenue, 2017-2023 ($Billion)
Chart 21 Computer Vision Market Share by Regions, 2017 And 2023
Chart 22 Americas Market Revenue, 2017-2023 ($Billion)
Chart 23 Apac Market Revenue, 2017-2023 ($Billion)
Chart 24 Europe Market Revenue, 2017-2023 ($Billion)
Chart 25 Mobileye: Overview Snapshot
Chart 26 Mobileye: Business Units
Chart 27 Mobileye: Geographic Revenue
Chart 28 Mobileye: SWOT Analysis
Chart 29 Mercedes-Benz: Overview Snapshot
Chart 30 Mercedes-Benz: Business Units
Chart 31 Mercedes-Benz: Geographic Revenue
Chart 32 Mercedes-Benz: SWOT Analysis
Chart 33 Cisco System: Overview Snapshot
Chart 34 Google: Business Units
Chart 35 Google: Geographic Revenue
Chart 36 Google: SWOT Analysis
Chart 37 Autoliv Inc.: Overview Snapshot
Chart 38 Autoliv Inc.: Business Units
Chart 39 Autoliv Inc.: Geographic Revenue
Chart 40 Autoliv Inc.: SWOT Analysis
Chart 41 Facebook: Overview Snapshot
Chart 42 Facebook: Business Units
Chart 43 Facebook: Geographic Revenue
Chart 44 Facebook: SWOT Analysis
Chart 45 Cognex Corporation: Overview Snapshot
Chart 46 Cognex Corporation: Business Units
Chart 47 Cognex Corporation: Geographic Revenue
Chart 48 Cognex Corporation: SWOT Analysis
Chart 49 General Electric: Overview Snapshot
Chart 50 General Electric: Business Units
Chart 51 General Electric: Geographic Revenue
Chart 52 General Electric: SWOT Analysis
- ABB Ltd.
- Cisco System
- General Electric
- Google Inc.
- Honeywell International Inc.
- IBM Corp.
- Microsoft Corp.
- SAP SE