Global AI Vision Market Size study, by Offering, By Service Type, By Technology, By Mode of Operation, By Vertical and Regional Forecasts 2022-2032

Description

The global AI Vision market, valued at approximately USD 12 billion in 2024, is anticipated to grow at a robust CAGR of 23.7% over the forecast period of 2024-2032, reaching USD 81.38 billion by 2032. The widespread adoption of machine learning and generative AI technologies across a diverse range of industries is revolutionizing operational efficiency, accuracy, and automation. In healthcare, these technologies are enhancing diagnostic precision and improving patient monitoring systems. Similarly, retail and e-commerce are leveraging AI Vision to optimize inventory management and elevate customer experiences. Industries like transportation, manufacturing, and construction are embracing AI Vision solutions to automate processes, ensure safety, and streamline operations.

The expansion of AI Vision technology is attributed to its transformative capabilities, which drive industrial growth and enable intelligent solutions. By integrating AI Vision systems, industries achieve enhanced efficiency, precision, and reliability. The rising reliance on cloud computing and the increasing demand for Optical Character Recognition (OCR) technologies further fuel the market's progression.

The image recognition segment is poised to dominate the AI Vision market, leveraging its ability to automate visual data analysis. Concurrently, the machine learning segment drives innovation by enabling systems to learn and adapt to complex data in real time. Technological advancements in deep learning and convolutional neural networks amplify the potential of AI Vision, facilitating its adoption across healthcare, security, and retail sectors.

The US leads the North American market due to significant federal investments, technological advancements, and robust support for AI development. Government initiatives to fund research and innovation underscore the nation's commitment to being at the forefront of AI Vision technology. This positions the US as a global leader, fostering a collaborative ecosystem among academia, industry, and government.

Major market players included in this report are:

NVIDIA Corporation
Microsoft Corporation
Intel Corporation
Alphabet Inc.
Amazon.com, Inc.
IBM Corporation
Oracle Corporation
Cognex Corporation
Qualcomm Technologies, Inc.
STMicroelectronics
Advanced Micro Devices, Inc. (AMD)
Basler AG
FLIR Systems, Inc.
Omron Corporation
Keyence Corporation

The detailed segments and sub-segments of the market are explained below:

By Offering:

Hardware
Software

By Service Type:

Consulting
Implementation
Support & Maintenance

By Technology:

Machine Learning
Image Recognition
Others

By Mode of Operation:

Cloud-based
On-premises

By Vertical:

Healthcare
Retail
Manufacturing
Transportation
Security
Others

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Italy
Spain
Rest of Europe
Asia Pacific
China
Japan
India
South Korea
Rest of Asia Pacific
Latin America
Brazil
Mexico
Rest of Latin America
Middle East & Africa
Saudi Arabia
UAE
South Africa
Rest of MEA

Years considered for the study are as follows:

Historical year - 2022
Base year - 2023
Forecast period - 2024 to 2032

Key Takeaways:

Market Estimates & Forecast for 10 years from 2022 to 2032.
Annualized revenues and regional-level analysis for each market segment.
Detailed analysis of the geographical landscape with country-level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approaches.
Analysis of the competitive structure of the market.
Demand-side and supply-side analysis of the market.

Chapter 1. Global AI Vision Market Executive Summary

1.1. Global AI Vision Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
- 1.3.1. By Offering
- 1.3.2. By Service Type
- 1.3.3. By Technology
- 1.3.4. By Mode of Operation
- 1.3.5. By Vertical
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global AI Vision Market Definition and Research Assumptions

2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
  - 2.3.3.1. Availability
  - 2.3.3.2. Infrastructure
  - 2.3.3.3. Regulatory Environment
  - 2.3.3.4. Market Competition
  - 2.3.3.5. Economic Viability (Consumer's Perspective)
- 2.3.4. Demand Side Analysis
  - 2.3.4.1. Regulatory Frameworks
  - 2.3.4.2. Technological Advancements
  - 2.3.4.3. Environmental Considerations
  - 2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

Chapter 3. Global AI Vision Market Dynamics

3.1. Market Drivers
- 3.1.1. Growing inclination toward cloud computing
- 3.1.2. Rising demand for Optical Character Recognition technology
- 3.1.3. Increasing adoption of AI-powered image recognition systems
3.2. Market Challenges
- 3.2.1. Complexities associated with maintenance and upgrades
- 3.2.2. High initial implementation costs
3.3. Market Opportunities
- 3.3.1. Integration of AI Vision in healthcare diagnostics
- 3.3.2. Growing applications in retail and e-commerce
- 3.3.3. Emerging demand in security and surveillance sectors

Chapter 4. Global AI Vision Market Industry Analysis

4.1. Porter's Five Forces Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
4.3. Top Investment Opportunities
4.4. Top Winning Strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspectives
4.7. Analyst Recommendations & Conclusion

Chapter 5. Global AI Vision Market Size & Forecasts by Offering (2022-2032)

5.1. Segment Dashboard
5.2. Global AI Vision Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 5.2.1. Hardware
- 5.2.2. Software

Chapter 6. Global AI Vision Market Size & Forecasts by Service Type (2022-2032)

6.1. Segment Dashboard
6.2. Global AI Vision Market: Service Type Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 6.2.1. Consulting
- 6.2.2. Implementation
- 6.2.3. Support & Maintenance

Chapter 7. Global AI Vision Market Size & Forecasts by Technology (2022-2032)

7.1. Segment Dashboard
7.2. Global AI Vision Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 7.2.1. Machine Learning
- 7.2.2. Image Recognition
- 7.2.3. Others

Chapter 8. Global AI Vision Market Size & Forecasts by Mode of Operation (2022-2032)

8.1. Segment Dashboard
8.2. Global AI Vision Market: Mode of Operation Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 8.2.1. Cloud-based
- 8.2.2. On-premises

Chapter 9. Global AI Vision Market Size & Forecasts by Vertical (2022-2032)

9.1. Segment Dashboard
9.2. Global AI Vision Market: Vertical Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 9.2.1. Healthcare
- 9.2.2. Retail
- 9.2.3. Manufacturing
- 9.2.4. Transportation
- 9.2.5. Security
- 9.2.6. Others

Chapter 10. Global AI Vision Market Size & Forecasts by Region (2022-2032)

10.1. North America AI Vision Market
- 10.1.1. U.S. AI Vision Market
  - 10.1.1.1. By Offering, Technology, Vertical, and Mode of Operation
- 10.1.2. Canada AI Vision Market
10.2. Europe AI Vision Market
- 10.2.1. UK AI Vision Market
- 10.2.2. Germany AI Vision Market
- 10.2.3. France AI Vision Market
- 10.2.4. Rest of Europe AI Vision Market
10.3. Asia Pacific AI Vision Market
- 10.3.1. China AI Vision Market
- 10.3.2. Japan AI Vision Market
- 10.3.3. India AI Vision Market
- 10.3.4. Rest of Asia Pacific AI Vision Market
10.4. Latin America AI Vision Market
- 10.4.1. Brazil AI Vision Market
- 10.4.2. Mexico AI Vision Market
10.5. Middle East & Africa AI Vision Market
- 10.5.1. Saudi Arabia AI Vision Market
- 10.5.2. South Africa AI Vision Market

Chapter 11. Competitive Intelligence

11.1. Key Company SWOT Analysis
- 11.1.1. NVIDIA Corporation
- 11.1.2. Microsoft Corporation
- 11.1.3. Intel Corporation
11.2. Top Market Strategies
11.3. Company Profiles
- 11.3.1. NVIDIA Corporation
  - 11.3.1.1. Key Information
  - 11.3.1.2. Overview
  - 11.3.1.3. Financial (Subject to Data Availability)
  - 11.3.1.4. Product Summary
  - 11.3.1.5. Market Strategies
- 11.3.2. Microsoft Corporation
- 11.3.3. Alphabet Inc.

Chapter 12. Research Process

12.1. Research Process
- 12.1.1. Data Mining
- 12.1.2. Analysis
- 12.1.3. Market Estimation
- 12.1.4. Validation
- 12.1.5. Publishing
12.2. Research Attributes