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, By Vertical.
Pune, India -- (SBWIRE) -- 09/05/2018 -- The Computer Vision Market is a synopsis to the study of Information and Communication Technology industry and the report also provides valuable insights about the leading drivers, upcoming trends, applications and challenges, determined by our Experts. SWOT analysis is the method to tell any market's strengths and weaknesses (i.e. drivers and restrains) so that you know on what to stick and what to avoid, this report not only consists SWOT analysis but also provides with the CAGR value fluctuation on the Forecast period of 2018-2025. The various advantages offered by the Computer Vision market is driving the growth of the market. Our research analysts have identified the Technological innovations and features as one of the primary factors that will trigger the growth of the Computer Vision market in the coming years. The Computer Vision vendors are focusing on developing advanced innovative products that meet the demand in the market.
The Global Computer Vision Market accounted for USD 11.12 billion in 2017 and is projected to grow at a CAGR of 8.2% the forecast period of 2018 to 2025.
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Well known players of global computer vision market report are 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.
Market Segments
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.
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Competitive Analysis
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
- 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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