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The global AI in computer vision market is expected to grow at a CAGR of 41.0% in the forecast period of 2024-2032 to reach a value of more than USD 387.97 billion by 2032.
As a result of advancing technology, countries all around the world are rapidly investing in AI and computer vision technologies, which is a prime factor stimulating the market growth. The United States is a technologically advanced country and companies are investing heavily in artificial intelligence and deep learning. Leading companies like Microsoft, Apple, and Google, among others, are pouring in hefty amounts of money in their research and development (R&D) to build human-like machines, which can comprehend their environment and analyse the data through images and videos they see. This is positively influencing the market growth of AI in computer vision technology in North America.
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Apart from this, China is also expected to emerge as an AI leader in the market with its shifting focus from being a global manufacturing hub to a high-tech country, thereby promoting the market growth. Globally, countries like France, Israel, the UK, Canada, Germany, Japan, and South Korea also have strong AI strategic strength and are pushing to become more AI-friendly and use the technology to their advantage. Hence, these are some of the factors contributing to the overall growth of the market.
Computer vision refers to the deep neural networks that are developed to make human-like vision capabilities possible for applications. Through artificial intelligence, software systems are designed in such a way that the application is able to perceive the world visually, through cameras, images, and videos, and take action or make any recommendation on the basis of that information.
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The market, based on component, comprises of:
Based on end user, the market can be divided into:
The regional markets can be classified into North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
Computer vision, enabled through the help of artificial intelligence and deep learning, helps in acquiring an image, processing it, and interpreting it. This feature provides a lot of functional value across industries, such as security and surveillance, sports, and healthcare, among others, and is thus driving the market growth. Facial recognition and biometric recognition are gaining massive importance in consumer electronic devices, such as smartphones, tablets, and laptops, among others, to avoid data breaches. Additionally, owing to rising cases of cyber threats, these security features are deployed to safeguard high security zones, such as private and government offices, and data centres to safeguard confidential and sensitive information. This is thus, invigorating the market growth.
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Apart from this, computer vision enables facial recognition in security applications, makes automatic checkout possible at modern retail stores, helps in spotting defects in manufacturing, is applicable for detecting signs of diseases, and aids in guiding travelling passengers on an airport, among many other benefits. Additionally, object detection enables to identify a specific object in an image, such as a defensive player on an entire football field, thereby maintaining decorum and providing impetus to the market. Moreover, the market growth can further be associated with surging investments in R&D along with the rising demand for AI in numerous applications in the coming years.
The report presents a detailed analysis of the following key players in the global AI in computer vision market looking into their capacity, market shares, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:
The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Scope of the Report | Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment- Component, End User, Region |
Breakup by Component | Hardware, Software |
Breakup by End User | Automotive, Sports and Entertainment, Robotics and Machine Vision, Healthcare, Security and Surveillance, Agriculture, Others |
Breakup by Region | North America, Europe, Asia Pacific, Latin America, Middle East and Africa |
Market Dynamics | SWOT, Porter's Five Forces, Key Indicators for Price and Demand |
Competitive Landscape | Market Structure, Company Profiles- Company Overview, Product Portfolio, Demographic Reach and Achievements, Certifications |
Companies Covered | NVIDIA, Intel, Qualcomm Incorporated, Apple Inc., Microsoft Corporation, Xilinx, Inc., Others |
Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global AI in Computer Vision Market Analysis
8.1 Key Industry Highlights
8.2 Global AI in Computer Vision Historical Market (2018-2023)
8.3 Global AI in Computer Vision Market Forecast (2024-2032)
8.4 Global AI in Computer Vision Market by Component
8.4.1 Hardware
8.4.1.1 Historical Trend (2018-2023)
8.4.1.2 Forecast Trend (2024-2032)
8.4.2 Software
8.4.2.1 Historical Trend (2018-2023)
8.4.2.2 Forecast Trend (2024-2032)
8.5 Global AI in Computer Vision Market by End User
8.5.1 Automotive
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.2 Sports and Entertainment
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.5.3 Robotics and Machine Vision
8.5.3.1 Historical Trend (2018-2023)
8.5.3.2 Forecast Trend (2024-2032)
8.5.4 Healthcare
8.5.4.1 Historical Trend (2018-2023)
8.5.4.2 Forecast Trend (2024-2032)
8.5.5 Security and Surveillance
8.5.5.1 Historical Trend (2018-2023)
8.5.5.2 Forecast Trend (2024-2032)
8.5.6 Agriculture
8.5.6.1 Historical Trend (2018-2023)
8.5.6.2 Forecast Trend (2024-2032)
8.5.7 Others
8.6 Global AI in Computer Vision Market by Region
8.6.1 North America
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.2 Europe
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.6.3 Asia Pacific
8.6.3.1 Historical Trend (2018-2023)
8.6.3.2 Forecast Trend (2024-2032)
8.6.4 Latin America
8.6.4.1 Historical Trend (2018-2023)
8.6.4.2 Forecast Trend (2024-2032)
8.6.5 Middle East and Africa
8.6.5.1 Historical Trend (2018-2023)
8.6.5.2 Forecast Trend (2024-2032)
9 North America AI in Computer Vision Market Analysis
9.1 United States of America
9.1.1 Historical Trend (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.2 Canada
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
10 Europe AI in Computer Vision Market Analysis
10.1 United Kingdom
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Germany
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 France
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
10.4 Italy
10.4.1 Historical Trend (2018-2023)
10.4.2 Forecast Trend (2024-2032)
10.5 Others
11 Asia Pacific AI in Computer Vision Market Analysis
11.1 China
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Japan
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
11.3 India
11.3.1 Historical Trend (2018-2023)
11.3.2 Forecast Trend (2024-2032)
11.4 ASEAN
11.4.1 Historical Trend (2018-2023)
11.4.2 Forecast Trend (2024-2032)
11.5 Australia
11.5.1 Historical Trend (2018-2023)
11.5.2 Forecast Trend (2024-2032)
11.6 Others
12 Latin America AI in Computer Vision Market Analysis
12.1 Brazil
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 Argentina
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
12.3 Mexico
12.3.1 Historical Trend (2018-2023)
12.3.2 Forecast Trend (2024-2032)
12.4 Others
13 Middle East and Africa AI in Computer Vision Market Analysis
13.1 Saudi Arabia
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 United Arab Emirates
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Nigeria
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
13.4 South Africa
13.4.1 Historical Trend (2018-2023)
13.4.2 Forecast Trend (2024-2032)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Value Chain Analysis
16 Competitive Landscape
16.1 Market Structure
16.2 Company Profiles
16.2.1 NVIDIA
16.2.1.1 Company Overview
16.2.1.2 Product Portfolio
16.2.1.3 Demographic Reach and Achievements
16.2.1.4 Certifications
16.2.2 Intel
16.2.2.1 Company Overview
16.2.2.2 Product Portfolio
16.2.2.3 Demographic Reach and Achievements
16.2.2.4 Certifications
16.2.3 Qualcomm Incorporated
16.2.3.1 Company Overview
16.2.3.2 Product Portfolio
16.2.3.3 Demographic Reach and Achievements
16.2.3.4 Certifications
16.2.4 Apple Inc.
16.2.4.1 Company Overview
16.2.4.2 Product Portfolio
16.2.4.3 Demographic Reach and Achievements
16.2.4.4 Certifications
16.2.5 Microsoft Corporation
16.2.5.1 Company Overview
16.2.5.2 Product Portfolio
16.2.5.3 Demographic Reach and Achievements
16.2.5.4 Certifications
16.2.6 Xilinx, Inc.
16.2.6.1 Company Overview
16.2.6.2 Product Portfolio
16.2.6.3 Demographic Reach and Achievements
16.2.6.4 Certifications
16.2.7 Others
17 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global AI in Computer Vision Market: Key Industry Highlights, 2018 and 2032
2. Global AI in Computer Vision Historical Market: Breakup by Component (USD Billion), 2018-2023
3. Global AI in Computer Vision Market Forecast: Breakup by Component (USD Billion), 2024-2032
4. Global AI in Computer Vision Historical Market: Breakup by End-User (USD Billion), 2018-2023
5. Global AI in Computer Vision Market Forecast: Breakup by End-User (USD Billion), 2024-2032
6. Global AI in Computer Vision Historical Market: Breakup by Region (USD Billion), 2018-2023
7. Global AI in Computer Vision Market Forecast: Breakup by Region (USD Billion), 2024-2032
8. North America AI in Computer Vision Historical Market: Breakup by Country (USD Billion), 2018-2023
9. North America AI in Computer Vision Market Forecast: Breakup by Country (USD Billion), 2024-2032
10. Europe AI in Computer Vision Historical Market: Breakup by Country (USD Billion), 2018-2023
11. Europe AI in Computer Vision Market Forecast: Breakup by Country (USD Billion), 2024-2032
12. Asia Pacific AI in Computer Vision Historical Market: Breakup by Country (USD Billion), 2018-2023
13. Asia Pacific AI in Computer Vision Market Forecast: Breakup by Country (USD Billion), 2024-2032
14. Latin America AI in Computer Vision Historical Market: Breakup by Country (USD Billion), 2018-2023
15. Latin America AI in Computer Vision Market Forecast: Breakup by Country (USD Billion), 2024-2032
16. Middle East and Africa AI in Computer Vision Historical Market: Breakup by Country (USD Billion), 2018-2023
17. Middle East and Africa AI in Computer Vision Market Forecast: Breakup by Country (USD Billion), 2024-2032
18. Global AI in Computer Vision Market Structure
The global AI in computer vision market is projected to grow at a CAGR of 41% in the forecast period of 2024-2032.
The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach more than USD 387.97 billion by 2032.
The major drivers of the industry include greater functional value of AI like image segmentation, object identification, pattern detection, and feature matching, among others, in addition to the rising implementation across industries.
Combating cyber threats with more technologically advanced security and convenience of comprehending pool of data is boosting the market.
The major regional markets include North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
The different components of AI in computer vision include hardware and software.
The major end users of AI in computer vision include automotive, sports and entertainment, robotics and machine vision, healthcare, security and surveillance, and agriculture, among others.
The leading players in the market are NVIDIA, Intel, Qualcomm Incorporated, Apple Inc., Microsoft Corporation, and Xilinx, Inc., among others.
The global AI in computer vision market is driven by the penetration of technology across industries. Aided by the rising investments in R&D, the market is expected to witness a further growth in the forecast period of 2024-2032, growing at a CAGR of 41%. The market is projected to reach more than USD 387.97 billion by 2032.
EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. Based on its component, the market can be segmented into hardware and software. Based on end users, the market can be divided into automotive, sports and entertainment, robotics and machine vision, healthcare, security and surveillance, and agriculture, among others. The major regional markets for AI in computer vision are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. The key players in the above market include NVIDIA, Intel, Qualcomm Incorporated, Apple Inc., Microsoft Corporation, and Xilinx, Inc., among others.
EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.
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