Artificial Intelligence (AI) in Computer Vision Market Ecosystem by Components; by Devices; by Deployment; by End Users (Automotive, Sports and Entertainment, Consumer Robotics and Machine Vision, Others); by Region and Forecast - 2027

Date : Jun 2020

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Report ID : 316

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Category : Information Technology

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Report Format:  PDF EXCEL PPT WORD

Artificial intelligence (AI) is the capability of a computer or a computer-enabled robotic system to manage information and produce outcomes in learning, decision making, and solving problems, in a manner that resemble the thought process of humans. Computer vision is the field of computer science that has focused on replicating the complexity of the human vision system and on enabling computers to identify and process objects in images and videos in the way that humans do. The major driving factor behind the growth of computer vision is the huge amount of data generated in day to day life. The accuracy rates of object detection have been increasing with an increase in new hardware and algorithms in computer vision. From 50% accuracy to 99%, computers are reacting more quickly than humans to visual inputs. Features like Topology for Custom-tailored eyewear, MTailor for making custom fitted pants and shirts, Pottery Barn for virtual look of new furniture at homes with 3D models, self-driving vehicles, and cashier less supermarkets - all are a result of computer vision. There is no end of uses for computer vision. So, the Artificial Intelligence (AI) in Computer Vision Market Ecosystem is expected to witness ~22% CAGR.

Ecosystem Snapshot: Artificial Intelligence (AI) in Computer Vision Market Ecosystem

AI in Computer Vision Market

The arrival of computer vision technology in smartphones is driven by continued investments in AI techniques by major OEMs like Apple, Samsung, Huawei, and Google. The new generation of smartphones has features like sophisticated cameras with higher resolutions, to capture more data to improve the overall accuracy of visual recognition and to enhance the reliability of facial recognition. Google has worked on the world's first tango-enabled smartphone Lenovo Phab 2 and ASUS ZenFone AR, while Apple has introduced 3D sensing in iPhone X with the front-facing camera. Apple’s move has led to a rush in 3D sensing adoption. All these new technology transformations are possible with the help of computer vision. Computer vision is a booming industry, as this technology is being used in several everyday products. E-commerce companies like Asos, Alibaba are adding visual search features to their websites to make the shopping experience smoother and more personalized. Apple unveiled its facial recognition feature with the latest iPhone. It is a technology that has been made possible through their acquisition of companies like PrimeSense, RealFace, and Faceshift.

AI in Computer Vision Market Ecosystem Segmentation

Device

Component

Deployment

End-use

Smartphones

Hardware

Cloud

Automotive

Drones

Software

On-Premise

Sports and Entertainment

Automotive

 

 

Consumer

Consumer Electronic

 

 

Robotics and Machine Vision

Others

 

 

Healthcare

 

 

 

Security and Surveillance

 

 

 

Agriculture

 

 

 

Others

North America is growing in the AI in Computer Vision ecosystem across various industry verticals, mainly in manufacturing and automotive industries. Ford is using AI in the manufacturing process and operations of automobiles. The 2020 Ford Edge model will have artificial intelligence as part of its all-wheel-drive system. The integration of surveillance systems with video analytics solutions is one of the major drivers for the market in this region. Advancement in medical care services in the Asia Pacific market is rapidly increasing the use and adoption of computer vision for accurate and quick medical reports, radiology and, or measuring the blood lost during surgeries, majorly during c-section procedures. Government funding and investments in Artificial Intelligence is increasing in this market. In 2017, the US social media platform Pinterest launched its visual search tool “Lens” as discovery engine on its mobile app. The company partnered with retail giant Target to integrate Pinterest’s Lens into the target.com e-commerce platform, in order to help customers, find items of interest through images. In the U.S. 529 startup companies have been listed under the label of computer vision. The average valuation of these companies is at $5.2 M each. These companies will soon raise between $5M and $10M in different stages of funding. Huge investments are being undertaken all over the world for computer vision development.

AI in Computer Vision Market Statistics Glimpse

 

AI in Computer Vision Market Statistics Glimpse

There are many trends that are having an impact on the market forecast. These, when evaluated from a company’s perspective, can drive growth. Our numerous consulting projects have generated sizeable synergies across all regions and all sizes of companies.

The major players operating in the Global AI in Computer Vision ecosystem are as follows:

Global AI in Computer Vision Market Ecosystem: Key Players

Company

Ecosystem Positioning

Total Revenue (US$)

Industry

Region

Nvidia

Software & solution

US$11.7 Billion

Semiconductors

Global

Intel

Software & solution

US$70.8 Billion

Semiconductors

Global

Qualcomm

Software & solution

US$22.73 Billion

Semiconductors

Global

Alphabet

Software & solution

‎US$136.82 Billion

Semiconductors

Global

Facebook

Software & solution

‎US$55.838 billion

‎Social media and Advertising

Global

Very few markets have interconnectivity with other markets like AI. Our Interconnectivity module focuses on the key nodes of heterogenous markets in detail. Smartphones, Hardware, Cloud, Drones, Software, and On-Premise markets are some of our key researched markets

Global AI in Computer Vision Market Ecosystem Major Interconnectivities

AI in Computer Vision ecosystem Major Interconnectivities

Glance on Global AI in Computer Vision Market Trends:

Trends

Device

Component

End-use

Impact on Market

The use of computer vision along with machine learning algorithms allows insurance companies to automate the claim process. Insurance agents can upload images associated with the claim, such as those of damaged car and how much they think the client should receive as a payout based on the photographed images. AI then compares the uploaded images in the database of images with varieties of damages and the payouts associated with them.

Automotive

 

Automotive 

0.30%

Gun shooting incidents at public places have become more prevalent over the years. Artificial intelligence embedded in surveillance cameras, along with computer vision and machine learning, can help detect the location of the gunman and share the same with the law enforcers. This can help prevent a mass shooting before it happens. Developed economies such as the U.S. and Germany, among others, are using this technology to spot the gunman’s location.

 

Hardware

Security and Surveillance

0.61%

AI-based waste management helps achieve zero waste city by monitoring trashes using cameras and guiding to the nearby dustbins. Each dustbin has a QR code and the users get money if some metal trashes are found. It uses computer vision to detect and classify the waste. Once the trash is full, a message is automatically sent to the corporation for replacing the bin.

Consumer electronics

 

Others

XX

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Ecosystem Report – Table of Content

  1. Introduction
    1. Global AI in Computer Vision market Definition
    2. Scope of study 
    3. Annual SaaS
  2. Executive Summary
    1. Global Market Segmentation
    2. Global Market Overview
      1. Mega Growth Drivers
      2. Major Growth Blockers
    3. Global Market Statistics
      1. By Investment
        1. AI-Enabled Computer Vision Ecosystem Industry Player
        2. Investment Companies
      2. By Market Revenue / Shipments/ Price Points                            
    4. Mega Trends
    5. Competitive Landscape
      1. SWOT
      2. PEST
      3. Company Ranking
    6. Market Attractiveness
      1. By Segment Level
      2. By Geography (Region/Country)
    7. Interconnectivity
      1. Allied/Interconnected Markets
      2. Allied/Interconnected Technologies
      3. Allied/Interconnected Applications
      4. Allied/Interconnected End Users

AI-Enabled Computer Vision Ecosystem Positioning

  1. Global AI-Enabled Computer Vision Ecosystem Snapshot
    1. AI-Enabled Computer Vision Broad Heads
      1. Demand Side
    2. Supply Side
  2. Global AI-Enabled Computer Vision Ecosystem Segmentation
      1. By Device
        1. Smartphones
        2. Drones
        3. Automotive
        4. Consumer Electronic
        5. Others
      2.   By Component
        1. Hardware
        2. Software
      3. By Deployment
        1. Cloud
        2. On-Premise
      4. By End-Use
        1. Automotive
        2. Sports and Entertainment
        3. Consumer
        4. Robotics and Machine Vision
        5. Healthcare
        6. Security and Surveillance
        7. Agriculture
        8. Others
      5. Geographic Overview
        1. North America
          1. U.S.
          2. Canada
          3. Mexico
        2. Europe
          1. U.K.
          2. Germany
          3. Italy
          4. Spain
          5. France
          6. Rest of Europe
        3. APAC
          1. India
          2. Japan
          3. China
          4. South Korea
          5. Taiwan
          6. Rest of APAC
        4. RoW
          1. Middle East
          2. Africa
          3. South America
  3. Competitive Landscape Mapping by Ecosystem Positioning
    1. Company by each node
    2. Vendor Landscaping
    3. Ecosystem Level Analysis
    4. Global AI-Enabled Computer Vision Ecosystem Broad Heads
  4. Competitive Landscape Mapping by Ecosystem Positioning
    1. Company by each node
    2. Vendor Landscaping

AI-Enabled Computer Vision Ecosystem Trend Analysis

  1. Global AI-Enabled Computer Vision Ecosystem Trends
    1. Trend Mapping
      1. Trend Description
      2. Trend Evaluation
        1. Impact
        2. Importance
        3. Remarks
      3. Trend Outlook (Short, Mid, Long Term)
      4. Trend Company Mapping
      5. Related AI in Computer Vision market Mapping
      6. Trend Region/Country Mapping

AI-Enabled Computer Vision Ecosystem Regulatory Analysis

  1. Overview
    1. Regulatory Mapping
    2. Regulatory Impact
    3. Regulatory Interlinkage

AI in Computer Vision Ecosystem Sizing, Volume and ASP Analysis & Forecast

  1. Global AI-Enabled Computer Vision Ecosystem Sizing & Volume
    1. Cross-segmentation
    2. Global AI-Enabled Computer Vision Ecosystem Market Sizing and Forecast
    3. Global AI-Enabled Computer Vision Ecosystem Volume Analysis
    4. Average Selling Price Analysis
    1. Global AI-Enabled Computer Vision Ecosystem Growth Analysis

AI-Enabled Computer Vision Ecosystem Competitive Intelligence

  1. Competitive Intelligence
    1. Top Industry Players vs Trend Tagging
        1. Importance
        2. Trend Nature (Positive/ Negative)
        3. Value
        4. Interconnectivity for each vendor
    2. Global AI in Computer Vision ecosystem Share Analysis
        1. By Each Node
    3. Strategies Adopted by Global AI-Enabled Computer Vision Ecosystem participants
        1. Global AI-Enabled Computer Vision Ecosystem Strategies
          1. New product launch Strategies
          2. Geographic Expansion Strategies
          3. Product-line Expansion Strategies
          4. Operational / Efficiency building Strategies
          5. Other Strategies

AI-Enabled Computer Vision Ecosystem Company Profiles

  1. Company Profiles (Total available company profiles for this market are around 103, this is sample list of companies. Please write us at contact@alltheresearch.com for details)
    1. Microsoft
      1. Company Fundamentals
      2. Subsidiaries list
      3. Share Holding Pattern
      4. Key Employees and Board of Directors
      5. Financial Analysis
        1. Financial Summary
        2. Ratio Analysis
        3. Valuation Metrics
      6. Product & Services
      7. Client & Strategies
      8. Ecosystem Presence
      9. SWOT
      10. Trends Mapping
      11. Analyst Views
    2. Intel
    3. Qualcomm
    4. Google
    5. IBM
    6. Micron
    7. Nvidia
    8. Samsung
    9. Apple
    10. Xiaomi
    11. Huawei
    12. LG
    13. Amazon
    14. Fitbit
    15. Oracle
    16. Biobeats
    17. Garmin
    18. Sony
    19. Motive
    20. Huami

AI-Enabled Computer Vision Ecosystem Developments

  1.  Market Developments
    1. AI-Enabled Computer Vision Ecosystem Events & Rationale
    2. R&D, Technology and Innovation
    3. Business & Corporate advancements
    4. M&A, JVs/Partnerships
    5.  Political, Macro-economic, Regulatory
    6.  Awards & Recognition
    7. Others

Customizations

  1. Ask for Customization
    1. Sensitivity Analysis
    2. TAM SAM SOM Analysis
    3. Other Customization
  2. Appendix
    1. Sources
    2. Assumptions
    3. Contact

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