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Image Recognition-Global Market Insights and Sales Trends 2025
Synopsis
Image recognition, in the context of machine vision, is the ability of software to identify objects, places, people, writing and actions in images. Computers can use machine vision technologies in combination with a camera and artificial intelligence software to achieve image recognition.
The global Image Recognition market size is expected to reach US$ 58920 million by 2029, growing at a CAGR of 15.6% from 2023 to 2029. The market is mainly driven by the significant applications of Image Recognition in various end use industries. The expanding demands from the BFSI, Media & Entertainment, Retail & Consumer Goods and IT & Telecom, are propelling Image Recognition market. Code Recognition, 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 Digital Image Processing segment is estimated at % CAGR for the next seven-year period.
North America holds the largest share of the global market. Higher adoption of new and advanced technologies such as mobile application security solutions is driving the growth of this regional market. The image recognition market in Asia-Pacific is projected to grow at the highest CAGR during the forecast period. This high growth can be attributed to the high adoption of cloud, mobility, and infrastructure management solutions to address information security.
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 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 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 Image Recognition market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, 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 Image Recognition covered in this report include Qualcomm, NEC, Google, LTU Technologies, Catchoom Technologies, Honeywell, Hitachi, Slyce and Wikitude, etc.
The global 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:
Qualcomm
NEC
Google
LTU Technologies
Catchoom Technologies
Honeywell
Hitachi
Slyce
Wikitude
Attrasoft
Global 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 Image Recognition market, Segment by Type:
Code Recognition
Digital Image Processing
Facial Recognition
Object Recognition
Pattern Recognition
Optical Character Recognition
Global Image Recognition market, by Application
BFSI
Media & Entertainment
Retail & Consumer Goods
IT & Telecom
Government
Healthcare
Transportation & Logistics
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 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, in the context of machine vision, is the ability of software to identify objects, places, people, writing and actions in images. Computers can use machine vision technologies in combination with a camera and artificial intelligence software to achieve image recognition.
The global Image Recognition market size is expected to reach US$ 58920 million by 2029, growing at a CAGR of 15.6% from 2023 to 2029. The market is mainly driven by the significant applications of Image Recognition in various end use industries. The expanding demands from the BFSI, Media & Entertainment, Retail & Consumer Goods and IT & Telecom, are propelling Image Recognition market. Code Recognition, 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 Digital Image Processing segment is estimated at % CAGR for the next seven-year period.
North America holds the largest share of the global market. Higher adoption of new and advanced technologies such as mobile application security solutions is driving the growth of this regional market. The image recognition market in Asia-Pacific is projected to grow at the highest CAGR during the forecast period. This high growth can be attributed to the high adoption of cloud, mobility, and infrastructure management solutions to address information security.
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 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 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 Image Recognition market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, 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 Image Recognition covered in this report include Qualcomm, NEC, Google, LTU Technologies, Catchoom Technologies, Honeywell, Hitachi, Slyce and Wikitude, etc.
The global 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:
Qualcomm
NEC
LTU Technologies
Catchoom Technologies
Honeywell
Hitachi
Slyce
Wikitude
Attrasoft
Global 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 Image Recognition market, Segment by Type:
Code Recognition
Digital Image Processing
Facial Recognition
Object Recognition
Pattern Recognition
Optical Character Recognition
Global Image Recognition market, by Application
BFSI
Media & Entertainment
Retail & Consumer Goods
IT & Telecom
Government
Healthcare
Transportation & Logistics
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 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 Image Recognition
1.1 Image Recognition Market Overview
1.1.1 Image Recognition Product Scope
1.1.2 Image Recognition Market Status and Outlook
1.2 Global Image Recognition Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Image Recognition Market Size by Region (2018-2029)
1.4 Global Image Recognition Historic Market Size by Region (2018-2023)
1.5 Global Image Recognition Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Image Recognition Market Size (2018-2029)
1.6.1 North America Image Recognition Market Size (2018-2029)
1.6.2 Europe Image Recognition Market Size (2018-2029)
1.6.3 Asia-Pacific Image Recognition Market Size (2018-2029)
1.6.4 Latin America Image Recognition Market Size (2018-2029)
1.6.5 Middle East & Africa Image Recognition Market Size (2018-2029)
2 Image Recognition Market by Type
2.1 Introduction
2.1.1 Code Recognition
2.1.2 Digital Image Processing
2.1.3 Facial Recognition
2.1.4 Object Recognition
2.1.5 Pattern Recognition
2.1.6 Optical Character Recognition
2.2 Global Image Recognition Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Image Recognition Historic Market Size by Type (2018-2023)
2.2.2 Global Image Recognition Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Image Recognition Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Image Recognition Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Image Recognition Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Image Recognition Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Image Recognition Revenue Breakdown by Type (2018-2029)
3 Image Recognition Market Overview by Application
3.1 Introduction
3.1.1 BFSI
3.1.2 Media & Entertainment
3.1.3 Retail & Consumer Goods
3.1.4 IT & Telecom
3.1.5 Government
3.1.6 Healthcare
3.1.7 Transportation & Logistics
3.1.8 Others
3.2 Global Image Recognition Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Image Recognition Historic Market Size by Application (2018-2023)
3.2.2 Global Image Recognition Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Image Recognition Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Image Recognition Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Image Recognition Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Image Recognition Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Image Recognition Revenue Breakdown by Application (2018-2029)
4 Image Recognition Competition Analysis by Players
4.1 Global 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 Image Recognition as of 2022)
4.3 Date of Key Players Enter into Image Recognition Market
4.4 Global Top Players Image Recognition Headquarters and Area Served
4.5 Key Players Image Recognition Product Solution and Service
4.6 Competitive Status
4.6.1 Image Recognition Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Qualcomm
5.1.1 Qualcomm Profile
5.1.2 Qualcomm Main Business
5.1.3 Qualcomm Image Recognition Products, Services and Solutions
5.1.4 Qualcomm Image Recognition Revenue (US$ Million) & (2018-2023)
5.1.5 Qualcomm Recent Developments
5.2 NEC
5.2.1 NEC Profile
5.2.2 NEC Main Business
5.2.3 NEC Image Recognition Products, Services and Solutions
5.2.4 NEC Image Recognition Revenue (US$ Million) & (2018-2023)
5.2.5 NEC Recent Developments
5.3 Google
5.3.1 Google Profile
5.3.2 Google Main Business
5.3.3 Google Image Recognition Products, Services and Solutions
5.3.4 Google Image Recognition Revenue (US$ Million) & (2018-2023)
5.3.5 LTU Technologies Recent Developments
5.4 LTU Technologies
5.4.1 LTU Technologies Profile
5.4.2 LTU Technologies Main Business
5.4.3 LTU Technologies Image Recognition Products, Services and Solutions
5.4.4 LTU Technologies Image Recognition Revenue (US$ Million) & (2018-2023)
5.4.5 LTU Technologies Recent Developments
5.5 Catchoom Technologies
5.5.1 Catchoom Technologies Profile
5.5.2 Catchoom Technologies Main Business
5.5.3 Catchoom Technologies Image Recognition Products, Services and Solutions
5.5.4 Catchoom Technologies Image Recognition Revenue (US$ Million) & (2018-2023)
5.5.5 Catchoom Technologies Recent Developments
5.6 Honeywell
5.6.1 Honeywell Profile
5.6.2 Honeywell Main Business
5.6.3 Honeywell Image Recognition Products, Services and Solutions
5.6.4 Honeywell Image Recognition Revenue (US$ Million) & (2018-2023)
5.6.5 Honeywell Recent Developments
5.7 Hitachi
5.7.1 Hitachi Profile
5.7.2 Hitachi Main Business
5.7.3 Hitachi Image Recognition Products, Services and Solutions
5.7.4 Hitachi Image Recognition Revenue (US$ Million) & (2018-2023)
5.7.5 Hitachi Recent Developments
5.8 Slyce
5.8.1 Slyce Profile
5.8.2 Slyce Main Business
5.8.3 Slyce Image Recognition Products, Services and Solutions
5.8.4 Slyce Image Recognition Revenue (US$ Million) & (2018-2023)
5.8.5 Slyce Recent Developments
5.9 Wikitude
5.9.1 Wikitude Profile
5.9.2 Wikitude Main Business
5.9.3 Wikitude Image Recognition Products, Services and Solutions
5.9.4 Wikitude Image Recognition Revenue (US$ Million) & (2018-2023)
5.9.5 Wikitude Recent Developments
5.10 Attrasoft
5.10.1 Attrasoft Profile
5.10.2 Attrasoft Main Business
5.10.3 Attrasoft Image Recognition Products, Services and Solutions
5.10.4 Attrasoft Image Recognition Revenue (US$ Million) & (2018-2023)
5.10.5 Attrasoft Recent Developments
6 North America
6.1 North America Image Recognition Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe 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 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 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 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 Image Recognition Market Dynamics
11.1 Image Recognition Industry Trends
11.2 Image Recognition Market Drivers
11.3 Image Recognition Market Challenges
11.4 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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