AI in Computer Vision Market Deep Research Report with Forecast by 2032

Artificial intelligence-enhanced computer vision focuses on utilizing AI to enable machines to analyze and understand visuals from the environment, including images and videos. The domain of AI is applied to revolutionize computer science through machine learning and perform tasks like object detection, image categorization, and video evaluation. This expansion is linked to the increasing prevalence of automation and data analytics across multiple sectors, such as healthcare, automotive, retail, and security. Its growth can be linked to the rising demand for applications such as facial recognition, traffic analysis, and defect detection in manufacturing. The market's expansion is fueled by advancements in AI hardware and platforms, improvements in ML algorithms, and increasing investments in edge computing.

The AI in Computer Vision Market is Valued USD 17.20 billion in 2024 and projected to reach USD 99.25 billion by 2032, growing at a CAGR of 21.5% During the Forecast period of 2024-2032.

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The report presents authenticated data derived from extensive primary and secondary research. By analysing historical growth trends and the current market landscape, it aims to provide actionable insights and forecasts for global and regional market growth. It takes into account revenue generated from report sales and related technologies across various application segments while exploring market data tables. Key market factors, including macroeconomic conditions, the overall market environment, government policies, and the competitive landscape, are carefully examined to ensure a comprehensive analysis.

Top companies covered in this report: Nvidia, Intel, Alphabet, Qualcomm, Apple, Microsoft, Facebook, Xilinx, Basler, Teledyne Technologies, Wikitude, MAXST, Cognex. General Electric, Avigilon and others.

Industry News:

In November 2024, Intel Corporation released a new version, Intel OpenVINO 2024.5, that advances AI in computer vision with optimized runtimes for Intel hardware and enhanced support for large language models. It enables efficient AI deployment across edge, cloud, and local environments for vision applications.

In October 2024, Teledyne FLIR LLC launched Prism AIMMGen, an ITAR-free AI model generation service that automates the creation of AI and machine learning models using synthetically generated data. This innovative tool significantly reduces costs and development timelines by generating millions of annotated synthetic images, enabling rapid fine-tuning of models for commercial, defense, and first-response applications.

AI in Computer Vision Market Segmentation:

By Component
Hardware
Processors
CPU
GPU
FPGA
ASIC
VPU
Memory
Network
Software
AI Platform
AI Solution

By Industry Vertical
Automotive
Sports & Entertainment
Consumer
Robotics and Machine Vision
Healthcare
Security and Surveillance
Agriculture
Others

Regional Analysis

North America (USA and Canada)
Europe (UK, Germany, France and rest of Europe)
Asia-Pacific (China, Japan, India, and Rest of Asia Pacific)
Latin America (Brazil, Mexico, and Rest of Latin America)
Middle East and Africa (GCC and Rest of the Middle East and Africa)

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Important Features of the reports:

- Detailed analysis of the AI in Computer Vision Market
- Fluctuating market dynamics of the industry
- Detailed market segmentation
- Historical, current and projected market size in terms of volume and value
- Recent industry trends and developments
- Competitive landscape of the AI in Computer Vision Market
- Strategies of key players and product offerings
- Potential and niche segments/regions exhibiting promising growth
- A neutral perspective towards AI in Computer Vision Market performance.

The report provides insights on the following pointers:

Market Penetration: Comprehensive information on the product portfolios of the top players in the AI in Computer Vision Market.

Product Development/Innovation: Detailed insights on upcoming technologies, R&D activities, and product launches in the market.

Competitive Assessment: In-depth assessment of the market strategies, and geographic and business segments of the leading players in the market.

Market Development: Comprehensive information about emerging markets. This report analyzes the market for various segments across geographies.

Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the AI in Computer Vision Market

How big will the market and growth rate be in 2032?

What are the key drivers for the global AI in Computer Vision Market?
What are the major market trends influencing the growth of the global AI in Computer Vision Market?
What are the challenges for market growth?
Who are the key vendors in the global AI in Computer Vision Market?
What market opportunities and threats are vendors facing in the global AI in Computer Vision Market?
What are the main findings of the five forces analysis of the global AI in Computer Vision Market?

Conclusion: At the end of the AI in Computer Vision Market report, all findings and estimates are presented. It also includes key drivers and opportunities and regional analysis. The Segmental analysis is also provided in terms of type and application.

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