Artificial Intelligence (AI) in Computer Vision Market 2023 Driving Factors Forecast Research 2029

AI in Computer Vision market is anticipated to grow at a CAGR of 36.1% during the forecast period (2023-2030). AI in computer vision is an automated software that enables computers and systems to generate meaningful information from digital images, videos, and other visual inputs. Such extracted information allows to take actions and make recommendations based on that information. Furthermore, the growing adoption of smartphones coupled with the introduction of advanced technologies such as AI is the key factor supporting the market growth globally. According to the Pew Research Center, as of May 2023, there are around 6.8 billion smartphone users across the globe. Additionally, owing to the availability of high-speed internet connectivity has further propelled the usage of smartphones. Hence, the market players are also focusing on introducing smartphone-based AI in computer vision solutions which will further bolster the market growth. For instance, in June 2023, Meta Platforms' released a 'human-like' AI image creation model, I-JEPA, ushers in a new era of computer vision capabilities. With its unique approach to filling in missing image elements and delivering outstanding performance, I-JEPA promises to unlock countless possibilities across various industries. By sharing their research and promoting collaboration, Meta aims to propel the industry forward while addressing safety concerns and prioritizing user experiences.

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The global AI in computer vision market is segmented on the component, application, and end user. Based on the component, the market is sub-segmented into hardware and software. Based on the application, the market is sub-segmented into industrial and non-industrial. Furthermore, based on end user, the market is sub-segmented into automotive & transportation, healthcare, manufacturing, consumer electronics and others which includes security & surveillance, agriculture, and retail. Among the end user segment, the healthcare sub-segment is anticipated to hold a considerable share of the market owing to the rise development of advanced technologies such as AI and machine learning (ML) in healthcare industry to ease the overall process while reducing the risk of contamination.

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• Market Coverage
• Market number available for - 2023-2029
• Base year- 2022
• Forecast period- 2023-2029
• Segment Covered- By Source, By Product Type, By Applications
• Competitive Landscape- Archer Daniels Midland Co., Ingredion Inc., Kerry Group Plc, Cargill
• Inc., and others

Market Segmentation
Global AI in Computer Vision Market by Component
o Hardware
o Software & Services

Global AI in Computer Vision Market by Application
o Industrial
o Non-industrial

Global AI in Computer Vision Market by End User
o Automotive & Transportation
o Healthcare
o Manufacturing
o Consumer Electronics
o Others (Security & Surveillance, Agriculture, and Retail)

Regional Analysis
o North America
o United States
o Canada
o Europe
o UK
o Germany
o Italy
o Spain
o France
o Rest of Europe
o Asia-Pacific
o China
o India
o Japan
o South Korea
o Rest of Asia-Pacific
o Rest of the World

Company Profiles
o Algolux, Inc.
o Allied Vision Technologies GmbH
o Amazon.com, Inc.
o Apple Inc.
o Basler AG
o Cognex Corporation Corp.
o Datagen
o Graphcore Ltd.
o Intel® Services
o Meta Platforms, Inc. (Facebook)
o Nvidia Corporation Corp.
o Qualcomm Incorporated
o Ultraleap Ltd.
o VizSeek

The Report Covers
• Market value data analysis of 2022 and forecast to 2030.
• Annualized market revenues ($ million) for each market segment.
• Country-wise analysis of major geographical regions.
• Key companies operating in the global AI in computer vision market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
• Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
• Analysis of market-entry and market expansion strategies.
• Competitive strategies by identifying 'who-stands-where' in the market.

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