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AI Image Recognition-Global Market Insights and Sales Trends 2024
Synopsis
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.
The global AI Image Recognition market size is expected to reach US$ 3400.4 million by 2029, growing at a CAGR of 14.0% from 2023 to 2029. The market is mainly driven by the significant applications of AI Image Recognition in various end use industries. The expanding demands from the BFSI, Retail, Security and Healthcare, are propelling AI Image Recognition market. Hardware, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Software segment is estimated at % CAGR for the next seven-year period.
Healthcare End User Vertical Segment is expected to Achieve Fastest Growth in the Forecast Period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for AI Image Recognition, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global AI Image Recognition market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global AI Image Recognition market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, AI Image Recognition sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of AI Image Recognition covered in this report include Google, IBM, Intel, Samsung, Microsoft, Amazon Web Services, Qualcomm and Micron, etc.
The global AI Image Recognition market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Google
IBM
Intel
Samsung
Microsoft
Amazon Web Services
Qualcomm
Micron
Global AI Image Recognition market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global AI Image Recognition market, Segment by Type:
Hardware
Software
Services
Global AI Image Recognition market, by Application
BFSI
Retail
Security
Healthcare
Automotive
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of AI Image Recognition companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
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.
The global AI Image Recognition market size is expected to reach US$ 3400.4 million by 2029, growing at a CAGR of 14.0% from 2023 to 2029. The market is mainly driven by the significant applications of AI Image Recognition in various end use industries. The expanding demands from the BFSI, Retail, Security and Healthcare, are propelling AI Image Recognition market. Hardware, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Software segment is estimated at % CAGR for the next seven-year period.
Healthcare End User Vertical Segment is expected to Achieve Fastest Growth in the Forecast Period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for AI Image Recognition, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global AI Image Recognition market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global AI Image Recognition market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, AI Image Recognition sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of AI Image Recognition covered in this report include Google, IBM, Intel, Samsung, Microsoft, Amazon Web Services, Qualcomm and Micron, etc.
The global AI Image Recognition market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
IBM
Intel
Samsung
Microsoft
Amazon Web Services
Qualcomm
Micron
Global AI Image Recognition market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global AI Image Recognition market, Segment by Type:
Hardware
Software
Services
Global AI Image Recognition market, by Application
BFSI
Retail
Security
Healthcare
Automotive
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of AI Image Recognition companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of AI Image Recognition
1.1 AI Image Recognition Market Overview
1.1.1 AI Image Recognition Product Scope
1.1.2 AI Image Recognition Market Status and Outlook
1.2 Global AI Image Recognition Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global AI Image Recognition Market Size by Region (2018-2029)
1.4 Global AI Image Recognition Historic Market Size by Region (2018-2023)
1.5 Global AI Image Recognition Market Size Forecast by Region (2024-2029)
1.6 Key Regions, AI Image Recognition Market Size (2018-2029)
1.6.1 North America AI Image Recognition Market Size (2018-2029)
1.6.2 Europe AI Image Recognition Market Size (2018-2029)
1.6.3 Asia-Pacific AI Image Recognition Market Size (2018-2029)
1.6.4 Latin America AI Image Recognition Market Size (2018-2029)
1.6.5 Middle East & Africa AI Image Recognition Market Size (2018-2029)
2 AI Image Recognition Market by Type
2.1 Introduction
2.1.1 Hardware
2.1.2 Software
2.1.3 Services
2.2 Global AI Image Recognition Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global AI Image Recognition Historic Market Size by Type (2018-2023)
2.2.2 Global AI Image Recognition Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America AI Image Recognition Revenue Breakdown by Type (2018-2029)
2.3.2 Europe AI Image Recognition Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific AI Image Recognition Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America AI Image Recognition Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa AI Image Recognition Revenue Breakdown by Type (2018-2029)
3 AI Image Recognition Market Overview by Application
3.1 Introduction
3.1.1 BFSI
3.1.2 Retail
3.1.3 Security
3.1.4 Healthcare
3.1.5 Automotive
3.1.6 Others
3.2 Global AI Image Recognition Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global AI Image Recognition Historic Market Size by Application (2018-2023)
3.2.2 Global AI Image Recognition Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America AI Image Recognition Revenue Breakdown by Application (2018-2029)
3.3.2 Europe AI Image Recognition Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific AI Image Recognition Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America AI Image Recognition Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa AI Image Recognition Revenue Breakdown by Application (2018-2029)
4 AI Image Recognition Competition Analysis by Players
4.1 Global AI Image Recognition Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in AI Image Recognition as of 2022)
4.3 Date of Key Players Enter into AI Image Recognition Market
4.4 Global Top Players AI Image Recognition Headquarters and Area Served
4.5 Key Players AI Image Recognition Product Solution and Service
4.6 Competitive Status
4.6.1 AI Image Recognition Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Google
5.1.1 Google Profile
5.1.2 Google Main Business
5.1.3 Google AI Image Recognition Products, Services and Solutions
5.1.4 Google AI Image Recognition Revenue (US$ Million) & (2018-2023)
5.1.5 Google Recent Developments
5.2 IBM
5.2.1 IBM Profile
5.2.2 IBM Main Business
5.2.3 IBM AI Image Recognition Products, Services and Solutions
5.2.4 IBM AI Image Recognition Revenue (US$ Million) & (2018-2023)
5.2.5 IBM Recent Developments
5.3 Intel
5.3.1 Intel Profile
5.3.2 Intel Main Business
5.3.3 Intel AI Image Recognition Products, Services and Solutions
5.3.4 Intel AI Image Recognition Revenue (US$ Million) & (2018-2023)
5.3.5 Samsung Recent Developments
5.4 Samsung
5.4.1 Samsung Profile
5.4.2 Samsung Main Business
5.4.3 Samsung AI Image Recognition Products, Services and Solutions
5.4.4 Samsung AI Image Recognition Revenue (US$ Million) & (2018-2023)
5.4.5 Samsung Recent Developments
5.5 Microsoft
5.5.1 Microsoft Profile
5.5.2 Microsoft Main Business
5.5.3 Microsoft AI Image Recognition Products, Services and Solutions
5.5.4 Microsoft AI Image Recognition Revenue (US$ Million) & (2018-2023)
5.5.5 Microsoft Recent Developments
5.6 Amazon Web Services
5.6.1 Amazon Web Services Profile
5.6.2 Amazon Web Services Main Business
5.6.3 Amazon Web Services AI Image Recognition Products, Services and Solutions
5.6.4 Amazon Web Services AI Image Recognition Revenue (US$ Million) & (2018-2023)
5.6.5 Amazon Web Services Recent Developments
5.7 Qualcomm
5.7.1 Qualcomm Profile
5.7.2 Qualcomm Main Business
5.7.3 Qualcomm AI Image Recognition Products, Services and Solutions
5.7.4 Qualcomm AI Image Recognition Revenue (US$ Million) & (2018-2023)
5.7.5 Qualcomm Recent Developments
5.8 Micron
5.8.1 Micron Profile
5.8.2 Micron Main Business
5.8.3 Micron AI Image Recognition Products, Services and Solutions
5.8.4 Micron AI Image Recognition Revenue (US$ Million) & (2018-2023)
5.8.5 Micron Recent Developments
6 North America
6.1 North America AI Image Recognition Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe AI Image Recognition Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific AI Image Recognition Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America AI Image Recognition Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa AI Image Recognition Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 AI Image Recognition Market Dynamics
11.1 AI Image Recognition Industry Trends
11.2 AI Image Recognition Market Drivers
11.3 AI Image Recognition Market Challenges
11.4 AI Image Recognition Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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