Global Computer Vision Market Business Growth Statistics and Key Players Insights By 2025 – Google, Facebook, Microsoft, NVIDIA, Texas Instruments, KLA-Tencor, Mercedes-Benz USA, Wikitude, GE, VideoIQ

“Global Computer Vision Market”
Global Computer Vision Market, By Component (Hardware, Cameras, Frame Rate and others), By Product (PC Based and Smart Camera Based), By Software (Traditional and Deep Learning), By Application (Quality Control and Inspection, Positioning and Guidance and others), By Vertical (Industrial and Non-Industrial) and By Geographical Segments (North America, Asia Pacific, South America and others)- Industry Trends and Forecast to 2025

Computer vision market report delivers a detailed study with present and upcoming Opportunities to clarify the future investment and business plans of the market. The report contains complete analysis regarding type and applications, featuring the key business resources and provides an in-depth survey of top key vendors. This analysis gives an examination of various segments that are relied upon to witness the quickest development amid the estimate forecast frame. The report includes key business strategies for a successful business development plan and it also throws light on key factors which have a strong influence on computer vision market development trends with Porter’s Five Forces model Analysis.

The Global Computer Vision Market was valued at USD 11.12 billion in 2017, and is registering a CAGR of 8.2% by the end of 2025.

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Key Player: Global Computer Vision Market

Google, Facebook, Microsoft, NVIDIA, Texas Instruments, KLA-Tencor, Mercedes-Benz USA, Mercedes-Benz, IBM, Autoliv, PlayfulVision, Wikitude, Cognex Corporation, National Instruments, GE, VideoIQ, Basler AG, OMRON Group, Synopsys Inc, SICK,  Omron Industrial Automation Europe, KEYENCE CORPORATION, Sony, Teledyne Technologies Incorporated,  Intel Corporation, Baumer Group, Baumer Optronic GmbH, Tordivel AS, ISRA VISION, MVTec Software GmbH, Cadence Design Systems, CEVA, Inc., Omron Automation – Americas, OMRON Asia Pacific, JAI A/S and others.

Among geographical regions, APAC accounted for the largest share of the computer vision market and is expected to lead the computer vision market by 2024 owing to increased investments in vision-related R&D activities and ongoing developments in computer vision systems. China is emerging as one of the key contributors in APAC region owing to growing industrial base in China and increasing manufacturing facilities

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Market Segmentation: Global Computer Vision Market

Based on geography, the global computer vision market report covers data points for 28 countries across multiple geographies such as

  • North America,
  • South America,
  • Europe,
  • Asia-Pacific
  • Middle East & Africa

Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others.

Based on software, the global computer vision market is segmented into and

  • Traditional software
  • Deep learning software.

Based on component, the global computer vision market is segmented into

  • hardware,
  • cameras,
  • frame rate,
  • format,
  • standard,
  • sensor,
  • frame grabbers,
  • optics,
  • LED lighting,
  • processors,
  • FPGAS,
  • DSPS,
  • microcontrollers and microprocessors,
  • Visual processing units and others.

Based on product, the global computer vision market is segmented into

  • PC based
  • Smart camera based.

Based on vertical, the global computer vision market is segmented into

  • Industrial
  • Non-industrial

Industrial segment is further sub segmented into automotive, electronics & semiconductor, consumer electronics, glass, metals, wood & paper, pharmaceuticals, food & packaging, rubber & plastics, printing, machinery, solar panel manufacturing and textiles. The non-industrial segment is further sub segmented into healthcare, postal & logistics, intelligent transportation systems security & surveillance, agriculture, consumer electronics, autonomous and semiautonomous vehicles, sports and entertainment and retail.

TOC: Global Computer Vision Market

Sections 1. Industry Synopsis of Global Computer Vision Market.
Sections 2. Computer Vision Market Size by Type and Application.
Sections 3. Computer Vision Market Organization Producers analysis and Profiles. 
Sections 4. Global Computer Vision Market Analysis by key traders.
Sections 5. Development Status and Outlook of Computer Vision Market in the United States.
Sections 6. Europe Computer Vision Industry Report Development Status and Outlook.
Sections 7. Japan Computer Vision Industry Report Development Status and Outlook.
Sections 8. China Computer Vision Market Report Development Status and Outlook.
Sections 9. India Computer Vision Market Development Status and Outlook.
Sections 10. Southeast Asia Computer Vision Market Improvement Status and Outlook.
Sections 11. Computer Vision Market Figure by Areas, Applications, and Sorts 
Sections 12. Computer Vision Market Dynamics.
Sections 13. Computer Vision Market Factors Analysis
Sections 14. Research Findings and Conclusions of Computer Vision Market.
Sections 15. Appendix. 

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Competitive Analysis: Global Computer Vision Market

The global computer vision market is fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market in order to sustain in long run. The report includes market shares of computer vision market for global, Europe, North America, Asia Pacific and South America.

Major Market Drivers & Market Restraint: Global Computer Vision Market

  • Demand for image and video analysis applications from various industry segments.
  • Adoption of artificial intelligence into the business segments.
  • Rapid technological disruptions in the field of advanced safety systems.
  • Huge investment costs.
  • Lack of skilled workforce.
  • Inadequate ability to develop well-structured algorithms for drones featuring artificial intelligence.

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