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AI in Computer Vision Market - By Vertical (Sports & Entertainment, Automotive, Robotics & Machine Vision, Consumer, Security & Surveillance, Healthcare, Agriculture, And Others), By Component (Software And Hardware), And By Region - Global Industry Perspective, Comprehensive Analysis, and Forecast, 2019 – 2025

Published Date: 28-Dec-2020 Category: Technology & Media Report Format : PDF Pages: 110 Report Code: ZMR-2969 Status : Published

Global AI in Computer Vision market, which accrued revenue worth 3.24 (USD Billion) in 2018 and anticipated to garner earnings about 69.99 (USD Billion) by 2025, is set to grow at a CAGR of nearly 44.96% during the period from 2019 to 2025.

Description

The global AI in Computer Vision market, which accrued revenue worth 3.24 (USD Billion) in 2018 and anticipated to garner earnings about 69.99 (USD Billion) by 2025, is set to grow at a CAGR of nearly 44.96% during the period from 2019 to 2025. The report offers valuation and analysis of the AI in Computer Vision market on a global as well as regional level. The study offers a comprehensive assessment of the industry competition, restraints, revenue estimates, avenues, current & emerging trends, and industry-validated market information. The report offers historical data from 2015 to 2018 along with a forecast from 2019 to 2025 based on value (USD Billion).

Introduction

Computer vision is a domain of AI that assists the computers to know the visual world. Reportedly, machines can exactly predict and find objects by using digital pictures from cameras, deep learning techniques, and videos.  Apparently, computer vision is massively utilized in navigation procedures such as self-driven vehicles, medical image analysis, and human- machine interaction as well as inspection of manufacturing processes. With evolution of computer vision, programming algorithms were produced for resolving the problems of individuals.

Furthermore, with improvement in deep learning methods & technology and need for programming supercomputers for enhancing business capabilities is likely to result in the massive penetration of computer vision in myriad sectors over the forthcoming years. For the record, firms such as Amazon and Facebook make use of computer vision for enhancing the security.

Global AI In Computer Vision Market

Market Growth Drivers

Escalating acceptance of AI in myriad fields and breakthroughs in the technology sector will pave a way for the expansion of AI in computer vision industry over the forecast timeframe. Apart from this, burgeoning need for edge computing in smartphones and efficacy of AI in machine learning will enlarge the scope of AI in computer vision market over the estimated timespan. In addition to this, massive use of computer vision in automotive and healthcare sectors as well as its massive use in image analysis will generate new growth avenues for the business over the forthcoming years.

Moreover, onset of 5G as well as 6G technologies in telecom sector is likely to boost the market trends. Nonetheless, lack of technical knowhow and escalating security issues can pose a threat to the growth of the AI in computer vision industry over the assessment timeline.

North America To Lead Overall Industry Growth Over 2019-2025

The expansion of the market in the sub-continent over the assessment timeframe is attributed to large-scale acceptance of machine vision in automotive and manufacturing sectors. Reportedly, with rising vehicle sales in the U.S. along with rapid developments witnessed in the automotive sector, the market for AI in computer vision is likely to gain traction in the region over the forthcoming years. With ridesharing firms like Lyft aiming at bringing driverless cars to many cities of the U.S. in 2023, the AI in Computer Vision industry is projected to expand by leaps & bounds in the sub-continent over the years ahead.

Some of the key participants profiled in the study are Xilinx, Alphabet, Teledyne Technologies, Intel, NVIDIA, MAXST, Facebook, Apple, Avigilon, Qualcomm, Microsoft, Wikitude, Basler, Cognex, and General Electric.

The global AI in computer vision market is segmented as follows:

By Component

  • Hardware
  • Software

By Vertical

  • Automotive
  • Sports and Entertainment
  • Consumer
  • Robotics and Machine Vision
  • Healthcare
  • Security and Surveillance
  • Agriculture
  • Others

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

  • Chapter 1. Preface
    • 1.1. Report Description and Scope
    • 1.2. Research Scope
    • 1.3. Research Methodulogy
      • 1.3.1. Market Research Process
      • 1.3.2. Market Research Methodulogy
  • Chapter 2. Executive Summary
    • 2.1. AI in Computer Vision Market, 2015–2025 (USD Billion)
    • 2.2. AI in Computer Vision Market: Snapshot
  • Chapter 3. Global AI in Computer Vision Market– Industry Analysis
    • 3.1. AI in Computer Vision Market: Market Dynamics
    • 3.2. Market Drivers
      • 3.2.1. Large-scale acceptance of AI in myriad fields and breakthroughs in the technulogy sector will pave a way for the expansion of AI in computer vision industry over the forecast timeframe.
      • 3.2.2. Burgeoning need for edge computing in smartphones and efficacy of AI in machine learning will enlarge the scope of AI in computer vision market over the estimated timespan.
    • 3.3. Porter’s Five Forces Analysis
    • 3.4. Market Attractiveness Analysis
      • 3.4.1. Market attractiveness analysis By Application
      • 3.4.2. Market attractiveness analysis By Category
      • 3.4.3. Market attractiveness analysis By Vertical
  • Chapter 4. Global AI in Computer Vision Market– Competitive Landscape
    • 4.1. Company market share analysis
      • 4.1.1. Global AI in Computer Vision Market: company market share, 2017
    • 4.2. Strategic development
      • 4.2.1. Acquisitions & mergers
      • 4.2.2. New Product launches
      • 4.2.3. Agreements, partnerships, cullaborations, and joint ventures
      • 4.2.4. Research and development and Regional expansion
    • 4.3. Price trend analysis
  • Chapter 5. Global AI in Computer Vision Market– Component Analysis
    • 5.1. Global AI in Computer Vision Market overview: By Component
      • 5.1.1. Global AI in Computer Vision Market share, By Component, 2018 and 2025
    • 5.2. Hardware
      • 5.2.1. Global AI in Computer Vision Market By Hardware , 2015–2025 (USD Billion)
    • 5.3. Software
      • 5.3.1. Global AI in Computer Vision Market By Software , 2015–2025 (USD Billion)
  • Chapter 6. Global AI in Computer Vision Market– Vertical Analysis
    • 6.1. Global AI in Computer Vision Market overview: By Vertical
      • 6.1.1. Global AI in Computer Vision Market share, By Vertical, 2018 and 2025
    • 6.2. Automotive
      • 6.2.1. Global AI in Computer Vision Market By Automotive, 2015–2025 (USD Billion)
    • 6.3. Sports and Entertainment
      • 6.3.1. Global AI in Computer Vision Market By Sports and Entertainment, 2015–2025 (USD Billion)
    • 6.4. Consumer
      • 6.4.1. Global AI in Computer Vision Market By Consumer, 2015–2025 (USD Billion)
    • 6.5. Robotics and Machine Vision
      • 6.5.1. Global AI in Computer Vision Market By Robotics and Machine Vision, 2015–2025 (USD Billion)
    • 6.6. Healthcare
      • 6.6.1. Global AI in Computer Vision Market By Healthcare, 2015–2025 (USD Billion)
    • 6.7. Security and Surveillance
      • 6.7.1. Global AI in Computer Vision Market By Security and Surveillance, 2015–2025 (USD Billion)
    • 6.8. Agriculture
      • 6.8.1. Global AI in Computer Vision Market By Agriculture, 2015–2025 (USD Billion)
    • 6.9. Others
      • 6.9.1. Global AI in Computer Vision Market By Others, 2015–2025 (USD Billion)
  • Chapter 7. Company Profiles
    • 7.1. NVIDIA
      • 7.1.1. Overview
      • 7.1.2. Financials
      • 7.1.3. Technulogy Portfulio
      • 7.1.4. Business Strategy
      • 7.1.5. Recent Developments
    • 7.2. Apple
      • 7.2.1. Overview
      • 7.2.2. Financials
      • 7.2.3. Technulogy Portfulio
      • 7.2.4. Business Strategy
      • 7.2.5. Recent Developments
    • 7.3. Qualcomm
      • 7.3.1. Overview
      • 7.3.2. Financials
      • 7.3.3. Technulogy Portfulio
      • 7.3.4. Business Strategy
      • 7.3.5. Recent Developments
    • 7.4. Microsoft
      • 7.4.1. Overview
      • 7.4.2. Financials
      • 7.4.3. Technulogy Portfulio
      • 7.4.4. Business Strategy
      • 7.4.5. Recent Developments
    • 7.5. Alphabet
      • 7.5.1. Overview
      • 7.5.2. Financials
      • 7.5.3. Technulogy Portfulio
      • 7.5.4. Business Strategy
      • 7.5.5. Recent Development
    • 7.6. Wikitude
      • 7.6.1. Overview
      • 7.6.2. Financials
      • 7.6.3. Technulogy Portfulio
      • 7.6.4. Business Strategy
      • 7.6.5. Recent Development
    • 7.7. Facebook
      • 7.7.1. Overview
      • 7.7.2. Financials
      • 7.7.3. Technulogy Portfulio
      • 7.7.4. Business Strategy
      • 7.7.5. Recent Development
    • 7.8. Basler
      • 7.8.1. Overview
      • 7.8.2. Financials
      • 7.8.3. Technulogy Portfulio
      • 7.8.4. Business Strategy
      • 7.8.5. Recent Development
    • 7.9. Xilinx
      • 7.9.1. Overview
      • 7.9.2. Financials
      • 7.9.3. Technulogy Portfulio
      • 7.9.4. Business Strategy
      • 7.9.5. Recent Development
    • 7.10. Cognex
      • 7.10.1. Overview
      • 7.10.2. Financials
      • 7.10.3. Technulogy Portfulio
      • 7.10.4. Business Strategy
      • 7.10.5. Recent Development
    • 7.11. Teledyne Technulogies
      • 7.11.1. Overview
      • 7.11.2. Financials
      • 7.11.3. Technulogy Portfulio
      • 7.11.4. Business Strategy
      • 7.11.5. Recent Development
    • 7.12. Avigilon
      • 7.12.1. Overview
      • 7.12.2. Financials
      • 7.12.3. Technulogy Portfulio
      • 7.12.4. Business Strategy
      • 7.12.5. Recent Development
    • 7.13. MAXST
      • 7.13.1. Overview
      • 7.13.2. Financials
      • 7.13.3. Technulogy Portfulio
      • 7.13.4. Business Strategy
      • 7.13.5. Recent Development
    • 7.14. General Electric
      • 7.14.1. Overview
      • 7.14.2. Financials
      • 7.14.3. Technulogy Portfulio
      • 7.14.4. Business Strategy
      • 7.14.5. Recent Development

Methodology


Frequently Asked Questions

Escalating acceptance of AI in myriad fields and breakthroughs in the technology sector will pave a way for the expansion of AI in computer vision industry over the forecast timeframe. Apart from this, escalating need for edge computing in smartphones and efficacy of AI in machine learning will enlarge the scope of AI in computer vision market over the estimated timespan. In addition to this, massive use of computer vision in automotive and healthcare sectors as well as its massive use in image analysis will generate new growth avenues for the business over the forthcoming years. Moreover, onset of 5G as well as 6G technologies in telecom sector is likely to boost the market trends.

According to Zion market research report, the global AI in Computer Vision market, which accrued revenue worth 3.24 (USD Billion) in 2018 and anticipated to garner earnings about 69.99 (USD Billion) by 2025, is set to grow at a CAGR of nearly 44.96% during the period from 2019 to 2025.

North America is likely to make noteworthy contributions towards overall market revenue. The regional market growth over 2019-2025 can be credited to large-scale acceptance of machine vision in automotive and manufacturing sectors. Reportedly, with rising vehicle sales in the U.S. along with rapid developments witnessed in the automotive sector, the market for AI in computer vision is likely to gain traction in the region over the forthcoming years. With ridesharing firms like Lyft aiming at bringing driverless cars to many cities of the U.S. in 2023, the AI in Computer Vision industry is projected to expand by leaps & bounds in the sub-continent over the years ahead.

The key players profiled in the report include Xilinx, Alphabet, Teledyne Technologies, Intel, NVIDIA, MAXST, Facebook, Apple, Avigilon, Qualcomm, Microsoft, Wikitude, Basler, Cognex, and General Electric.

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