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

Pune, India -- (SBWire) -- 03/12/2019 --Computer Vision market report delivers a detailed study with present and upcoming Opportunities to clarify the future investment in the market. Global Computer Vision industry 2025 report shares information regarding key drivers, challenges, and Opportunities with its impact by regions. This report is a valuable source of guidance for companies and individuals offering Industry Chain Structure, Business Strategies and Proposals for New Project Investments. The report also studies the various inhibitors as well as motivators of the Computer Vision Products market in both quantitative and qualitative manners in order to provide accurate information to the readers.

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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This market research report is an effort to provide the clear picture of the state of the market and sub markets over the next seven years. The report provides micro level analysis of the factors affecting the market, key market trends and industry drives and challenges for the better understanding of the market structure. The presentation of the market dynamics, competitive scenario and developments will enable marketers to aptly design their growth strategies and have competitive edge. Moreover, assessment of the top investment pockets and winning strategies will help in channelizing their investments in the right directions to garner better proceeds.

Who should buy this report?

Global Computer Vision market Report is especially designed for Venture capitalists, Investors, financial institutions, Analysts, Government organizations, regulatory authorities, policymakers, researchers, strategy managers and academic institutions looking for insights into the market to determine future strategies.

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Major Highlights of TOC: Global Smart Home Market

Chapter One: Market Overview


- Introduction

- Scope/Objective of the Study


Chapter Two: Executive Summary


- Introduction


Chapter Three: Market Dynamics


- Introduction

- Market Drivers


Chapter Four: Market Factor Analysis


- Porters Five Forces

- Supply/Value Chain

- PESTEL analysis

- Market Entropy

- Patent/Trademark Analysis
…………


Chapter Nine: Methodology and Data Source


- Methodology/Research Approach

- Data Source

- Disclaimer


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Key Players: Global Computer Vision Market

Google, Facebook, Microsoft, NVIDIA, ABB, Apple, Texas Instruments, KLA-Tencor, Mercedes-Benz USA, Mercedes-Benz, Mobileye, 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

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.

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.

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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