Computer vision is a branch of software engineering which manages distinguishing and preparing pictures to provide output like person. Fundamentally it is giving the capacity of human vision to a computer. It makes the utilization of artificial intelligence to distinguish and translate what the picture really is about. Computer vision gives comes about in light of perception and translates the following activity. For example, PC vision in car watches the surroundings, for example, path dividers, movement lights and hindrances and act as per it. The vehicle stops naturally if a sudden obstruction is watched. This activity is prepared by machine vision frameworks combined with artificial intelligence which helps in controlling of the automobile.
Computer vision is a vital part of the internet of things. Robots in industries are suitable for identifying the defective items, flights and drones are fit for maintaining a strategic distance from obstructions through vision handling, cars fit for staying away from deterrents and finishing signals manmade brainpower are present drifting uses of PC vision innovation. Progressions in artificial intelligence especially in deep learning have accelerated the computer vision showcase development. Deep learning provides the engineers in recognizing the articles without breaking a sweat and can be prepared through an arrangement of projects which can build the exactness. Tesla, Inc. an American company which is specialized in electric automobiles partnered with AMD to develop their own AI chip for self-driving cars. The AMD chipsets will be capable of using deep learning techniques and algorithms to detect objects in their path.
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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Global Computer Vision Research for a Leading company is an intelligent process of gathering and analyzing the numerical data related to services and products. This Research Give idea to aims at your targeted customer understands needs and wants. Also, reveals how effectively a company can meet their requirements. The market research collects data about the customers, marketing strategy, competitors. The Computer Vision industry is becoming increasingly dynamic and innovative, with more number of private players entering the industry.
Key Players/Vendors: Global Computer Vision Market
Company profiled in this report based on Business overview, Financial data, Product landscape, Strategic outlook & SWOT analysis:
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
Research Methodology: Global Computer Vision Market
- Primary Respondents: OEMs, Manufacturers, Engineers, Industrial Professionals.
- Industry Participants: CEO’s, V.P.’s, Marketing/Product Managers, Market Intelligence Managers and, National Sales Managers
Table of Contents: Global Computer Vision Market
- 1. Executive Summary
- 2. Scope/opportunities of the Report
- 3. Research Methodology
- 4. Market Landscape
- Market ecosystem
- Market characteristics
- Market segmentation analysis
- 5. Pipeline Analysis
- Pipeline analysis
- 6. Market Sizing
- Market definition
- Market sizing
- Market size and forecast
- 7. Porter’s Five Forces Analysis
- Bargaining power of buyers
- Bargaining power of suppliers
- Threat of new entrants
- Threat of substitutes
- Threat of rivalry
- Market condition
- 8. Market Segmentation
- Segmentation
- Comparison
- Market opportunity
- 9. Customer Landscape
- 10. Regional Landscape
- Geographical segmentation
- Regional comparison
- Europe
- MEA
- APAC
- North America
- South America
- Market opportunity
- 11. Business Decision Framework
- 12. Drivers And Challenges
- Market challenges
- Market drivers
- 13. Market Key Trends
- 14. Players Landscape
- Overview
- Landscape disruption
- 15. Players Analysis
- Players covered
- Players classification
- Market positioning of Players
- 16. Appendix
- List of abbreviations
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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.
Market Segmentation: Global Computer Vision Market
By Geography
- North America (US, Canada, Mexico) {Market Revenue (USD Billion), Growth Analysis (%) and Opportunity Analysis}
- Europe (Russia, Turkey, Belgium, Netherlands, Switzerland, Spain, France, Germany, Italy, UK, Rest of Europe {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
- Asia Pacific (China, South Korea, Japan, India, Australia, Singapore, Thailand, Indonesia, Malaysia, Philippines, Rest of Asia-Pacific) {Market Revenue (USD Billion), Growth Analysis (%) and Opportunity Analysis}
- South America (Brazil, Argentina, Rest of South America) {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
- Middle East and Africa (South Africa, Egypt, Saudi Arabia, United Arab Emirates, Israel, Rest of Middle East and Africa) {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
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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