Global AI market size in computer vision exceeds US dollar

Machine Learning


NEW YORK, USA, May 15, 2024 (GLOBE NEWSWIRE) — Global AI in Computer Vision Market The size is expected to grow from USD 16.94 billion in 2023 to USD 118.56 billion by 2033, at a compound annual growth rate (CAGR) of 21.48% during the forecast period.

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Artificial intelligence (AI) in computer vision enables computers and systems to interpret and analyze visual data and perform other tasks such as object detection, processing, understanding and analysis of digital images, videos, and visual content, product search, and image classification. Deriving meaningful information from visual input. Search and manage content. Machine learning, a subset of AI, is at the forefront of enabling computer vision, which uses vast training datasets to learn patterns. Machine learning algorithms or logic can help detect features, characteristics, or objects in the most complex images and can differentiate between different parts of an image. The integration of ML with computer vision and deep learning has thus revolutionized advanced digital image processing and enabled significant advances in computer vision. Rising demand for automation and advancements in neural networks and deep learning is driving the market. Application of AI-driven computer vision in various fields is likely to drive market growth. Additionally, the introduction of regulatory standards for AI technologies, such as ISO/IEC standards to ensure and maintain international quality standards, and increasing investments in AI-driven computer vision are driving the rise of AI in the computer vision market. Contributing. However, concerns regarding security and privacy of personal information, lack of skilled manpower, and ethical and bias issues are restraining the market.

Browse the report's 120 market data tables and 200 pages of key industry insights, including figures and charts.Global AI in the computer vision market Size, share, and impact analysis of the new coronavirus infection (separate) By component (hardware and software), by function (training and inference), by application (industrial and non-industrial), by end use (automotive, healthcare, retail, security and surveillance, robotics and machinery, consumer electronics) product), Analysis and forecast by region (North America, Europe, Asia Pacific, Latin America, Middle East, Africa) from 2023 to 2033.

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The software segment is expected to hold the largest revenue share throughout the forecast period.
Based on component, the global AI in Computer Vision market is categorized into hardware and software. Among these, the software segment is expected to hold the largest revenue share throughout the forecast period. The increasing application of AI in emerging technologies such as IoT and edge computing is expected to drive the market in the software sector. Additionally, improvements and advancements in computing power and ML algorithms contributed to the market growth.

The training segment is expected to grow at the fastest CAGR over the forecast period.
Based on functionality, the global AI in Computer Vision market is categorized into Training and Inference. Among these, the training segment is expected to grow at the fastest CAGR over the forecast period. Training an AI model involves learning algorithms using training data that are computationally very expensive. Healthcare, finance, transportation, manufacturing, agriculture, media, logistics, and other industry sectors are using AI and ML training.

The non-industrial segment dominates the market by capturing the largest market share throughout the forecast period.
Based on application, the global AI in Computer Vision market is divided into industrial and non-industrial. Among these, the non-industrial segment dominates the market with the largest market share throughout the forecast period. Computer vision technology is widely used in entertainment and media because it allows content creators to automate video editing tasks, analyze viewer engagement, and provide immersive experiences to consumers.

The household appliances segment commands the largest revenue share and dominates the market throughout the forecast period.
Based on end-use, the global AI in computer vision market is segmented into automotive, healthcare, retail, security and surveillance, robots and machinery, and consumer electronics. Among these, the household appliances segment dominates the market with the largest revenue share throughout the forecast period. Smartphones are the gateway to cutting-edge computer vision technology, with advanced features such as facial recognition, reality filters for social media apps, text recognition in images, and organizing photos by recognizing faces. Other consumer electronics such as tablets and smart TVs are also contributing to the market growth of the consumer electronics sector.
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North America dominates the market with the largest market share during the forecast period.

North America dominates the market with the largest market share during the forecast period. Increasing investment in research and development activities to develop advanced technological tools is expected to drive market growth. Additionally, the presence of major market players in the region also contributes to strengthening the market. Rising innovation in the healthcare industry due to the growing need for intelligent automation technology is responsible for the growth of the AI ​​in computer vision market.

Asia Pacific is expected to grow the fastest during the forecast period. The incorporation of AI-based solutions in various sectors such as manufacturing and automotive as well as the adoption of smart automation his solutions are driving the market growth. Considerable expansion rate in countries such as China, India, and Japan, among others, is also contributing to the market expansion.
Competitive analysis:

The report offers pertinent analysis of key organizations/companies involved in the global market along with comparative evaluation mainly based on product offerings, business overview, geographical presence, corporate strategies, segment market shares, and SWOT analysis. . The report also provides in-depth analysis focusing on the company's current news and developments, including product development, innovation, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and more. This allows you to assess the overall competition within the market. The major vendors in the global AI in computer vision market are: IBM Corporation, Qualcomm Technologies, Inc., Nvidia Corporation, Baummer, Cognex Corporation, Intel Corporation, Microsoft Corporation, Teledyne Technologies Incorporated, Texas Instruments Incorporated, Omron Corporation, Facebook, Inc. , Apple, Inc., Google LLC, Clarifai Inc., Sony Semiconductor Solutions Corporation, Amazon Web Services, and others.

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Recent trends

  • January 2023, Microsoft announced a new multibillion-dollar investment in ChatGPT maker OpenAI. This investment is the third phase of the partnership, following Microsoft's previous investments in 2019 and 2021. This new partnership is expected to accelerate breakthroughs in AI and facilitate the commercialization of both companies' advanced technologies.

market segment
This study projects revenues at global, regional and country levels from 2020 to 2033. Spherical Insights has segmented the global AI in Computer Vision market based on the following segments:

Global AI, Components in Computer Vision Market

Global AI, Features in Computer Vision Market

Global AI, Applications in Computer Vision Market

Computer vision market, global AI in end use

  • car
  • health care
  • retail
  • security and surveillance
  • robots and machines
  • home appliances

Global AI in Computer Vision Market, by Region

  • North America
  • Europe
    • Germany
    • England
    • France
    • Italy
    • Spain
    • Russia
    • rest of europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia Pacific
  • south america
    • Brazil
    • Argentina
    • rest of south america
  • middle east and africa
    • United Arab Emirates
    • Saudi Arabia
    • qatar
    • South Africa
    • rest of the middle east and africa

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