Global AI Image Recognition Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Global AI Image Recognition Market 2024 by Company, Regions, Type and Application, Forecast to 2030

According to our (Global Info Research) latest study, the global AI Image Recognition market size was valued at USD 1356 million in 2023 and is forecast to a readjusted size of USD 3269.6 million by 2030 with a CAGR of 13.4% during review period.

Image recognition technologies comprise voice, iris, palm, hand vein pattern, fingerprints, retina, hand geometry, facial pattern recognition, object identification, etc. Image recognition based on these indications can be applied across various fields such as vehicular safety, advertising, security and surveillance, biometric scanning machines, pedestrian recognition, and e-commerce.

Healthcare End User Vertical Segment is expected to Achieve Fastest Growth in the Forecast Period.

The Global Info Research report includes an overview of the development of the AI Image Recognition industry chain, the market status of BFSI (Hardware, Software), Retail (Hardware, Software), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of AI Image Recognition.

Regionally, the report analyzes the AI Image Recognition markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global AI Image Recognition market, with robust domestic demand, supportive policies, and a strong manufacturing base.

Key Features:

The report presents comprehensive understanding of the AI Image Recognition market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the AI Image Recognition industry.

The report involves analyzing the market at a macro level:

Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Hardware, Software).

Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the AI Image Recognition market.

Regional Analysis: The report involves examining the AI Image Recognition market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.

Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the AI Image Recognition market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.

The report also involves a more granular approach to AI Image Recognition:

Company Analysis: Report covers individual AI Image Recognition players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.

Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards AI Image Recognition This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (BFSI, Retail).

Technology Analysis: Report covers specific technologies relevant to AI Image Recognition. It assesses the current state, advancements, and potential future developments in AI Image Recognition areas.

Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the AI Image Recognition market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.

Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.

Market Segmentation

AI Image Recognition market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.

Market segment by Type
Hardware
Software
Services

Market segment by Application
BFSI
Retail
Security
Healthcare
Automotive
Others

Market segment by players, this report covers
Google
IBM
Intel
Samsung
Microsoft
Amazon Web Services
Qualcomm
Micron

Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe AI Image Recognition product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of AI Image Recognition, with revenue, gross margin and global market share of AI Image Recognition from 2019 to 2024.

Chapter 3, the AI Image Recognition competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and AI Image Recognition market forecast, by regions, type and application, with consumption value, from 2025 to 2030.

Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of AI Image Recognition.

Chapter 13, to describe AI Image Recognition research findings and conclusion.