This Image Recognition market report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
The image recognition market size has grown rapidly in recent years. It will grow from $53.4 billion in 2024 to $61.97 billion in 2025 at a compound annual growth rate (CAGR) of 16.1%. The growth in the historic period can be attributed to rise in advances in deep learning and neural networks, growth in computer vision technologies, increase in image data availability, adoption of image recognition in healthcare, expansion of e-commerce and visual search.
The image recognition market size is expected to see rapid growth in the next few years. It will grow to $127.58 billion in 2029 at a compound annual growth rate (CAGR) of 19.8%. The growth in the forecast period can be attributed to integration of image recognition in autonomous vehicles, increased adoption in augmented reality (AR) applications, growth in security and surveillance systems, expansion of image recognition in retail and fashion, emphasis on edge computing for real-time image recognition. Major trends in the forecast period include object detection and recognition in images, integration of image recognition with natural language processing, use of image recognition in social media and content moderation, development of explainable ai in image recognition, adoption of image recognition in agriculture for crop monitoring.
The growth of the image recognition market is being propelled by the increasing demand for security applications and products integrated with image recognition functions. Image recognition finds extensive applications in security, particularly in services like facial recognition. This technology, utilizing image recognition, is employed to identify individuals in images, and its adoption has risen due to the global increase in terrorist acts, cyberattacks, and identity theft. For example, as reported by Techreport in August 2023, facial recognition technology is widely utilized in airports across 20% of countries for tasks such as check-in security and border control. Therefore, the heightened use of smartphones is expected to drive the demand for the image recognition market.
The image recognition market is anticipated to experience growth due to the increasing prevalence of smartphones. Smartphones, which combine traditional mobile phone functionality with advanced computing capabilities, have witnessed widespread adoption, creating a substantial user base for image recognition applications and services. The ubiquity of smartphones equipped with cameras allows for the integration of image recognition technology into various mobile apps, enhancing accessibility and convenience for users. According to Uswitch Limited in February 2023, mobile connections in the UK increased by 3. 8% from the previous year, reaching 71. 8 million. The projection that around 95% of the UK's population, approximately 65 million individuals, will own a smartphone by 2025 further supports the notion that the rising use of smartphones will fuel the demand for the image recognition market.
Technological advancements are a significant trend gaining traction in the image recognition market. Leading companies in this sector are implementing new technologies like augmented reality (AR) to maintain their market position. Augmented reality refers to the integration of digital data with the user's real-world environment in real time, allowing AR users to interact with their surroundings enhanced by sensory information - be it visual, audio, or otherwise. For instance, in October 2023, Klarna, a Swedish financial services company, launched an innovative AI-driven image recognition tool called "Shopping Lens," aimed at improving the shopping experience for its users. This tool allows customers to upload images of items they wish to purchase, converting these images into searchable terms and guiding them to the best available deals on Klarna's app. With the capability to recognize over 10 million products and match them with more than 50 million offers, Shopping Lens seeks to simplify the buying process by providing price comparisons, reviews, and similar product suggestions. This initiative positions Klarna directly against major tech firms like Google and Amazon, which have also developed comparable tools such as Google Lens and Amazon Rekognition.
Major companies operating in the image recognition market are focusing on the introduction of new technological solutions, such as face occlusion detection, to maintain their market position. Face occlusion detection is a technology used in facial recognition and computer vision systems to identify situations where a portion of a person's face is obscured or hidden. For instance, in May 2023, AWS Amazon Web Services launched face occlusion detection in Amazon Rekognition DetectFaces and IndexFaces APIs to enhance face verification accuracy. This new attribute, FaceOccluded, identifies if a face in an image is partially obscured or not fully visible due to overlapping objects, clothing, or other body parts.
In July 2024, GE HealthCare, a US-based company specializing in healthcare technology and diagnostics, acquired Intelligent Ultrasound for $51 million. The purpose of GE HealthCare's acquisition is to enhance its ultrasound portfolio by integrating advanced AI-driven image analysis tools. Intelligent Ultrasound is a UK-based software and simulation company recognized as a leading global provider of high-fidelity simulation-based ultrasound training products.
Major companies operating in the image recognition market include Google LLC, Catchoom Technologies S. L., Hitachi Ltd., Honeywell International Inc, Amazon Web Services Inc., Blippar Group Limited, Clarifai Inc., CloudSight Inc., Deepomatic, Descartes Labs Inc., EyeEm Mobile GmbH., Imagga Technologies Ltd., iMerit Technology Services, Kneron Inc., Megvii Technology Limited, Neurala Inc., Nviso SA, Osaro Inc., PTC Inc., Qualcomm Technologies Inc., SenseTime Group Limited, Snap Inc., Toshiba Corporation, ViSenze Pte Ltd., Wikitude GmbH, Zebra Medical Vision Ltd., Zivid AS.
North America was the largest region in the image recognition market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the image recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the image recognition market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.
Image recognition refers to the capability of machines or software to identify the contents of an image, which can include objects, places, persons, and more. This technology can be integrated with built-in cameras to execute various activities. Image recognition is employed for machine-based visual tasks, such as labeling image content with meta-tags, conducting image searches, and guiding robots or self-driving cars.
The primary techniques of image recognition include QR/barcode recognition, object recognition, facial recognition, pattern recognition, and optical character recognition. QR/barcode recognition is utilized for tracking and storing product information in supply chains. QR codes, storing information as a series of pixels in a square-shaped grid, can be easily read by digital devices. Image recognition is implemented both on the cloud and on-premises using dedicated hardware, software, and services. Its applications span augmented reality, scanning and imaging, security and surveillance, marketing and advertising, and image search. Various industries, including retail and e-commerce, media and entertainment, BFSI, automobile and transportation, IT and telecom, government, healthcare, and others, leverage image recognition technology.
The image recognition market research report is one of a series of new reports that provides image recognition market statistics, including image recognition industry global market size, regional shares, competitors with an image recognition market share, detailed image recognition market segments, market trends and opportunities, and any further data you may need to thrive in the image recognition industry. This image recognition market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The image recognition market includes revenues earned by entities by providing code recognition, digital image processing, and sensors. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The image recognition market size has grown rapidly in recent years. It will grow from $53.4 billion in 2024 to $61.97 billion in 2025 at a compound annual growth rate (CAGR) of 16.1%. The growth in the historic period can be attributed to rise in advances in deep learning and neural networks, growth in computer vision technologies, increase in image data availability, adoption of image recognition in healthcare, expansion of e-commerce and visual search.
The image recognition market size is expected to see rapid growth in the next few years. It will grow to $127.58 billion in 2029 at a compound annual growth rate (CAGR) of 19.8%. The growth in the forecast period can be attributed to integration of image recognition in autonomous vehicles, increased adoption in augmented reality (AR) applications, growth in security and surveillance systems, expansion of image recognition in retail and fashion, emphasis on edge computing for real-time image recognition. Major trends in the forecast period include object detection and recognition in images, integration of image recognition with natural language processing, use of image recognition in social media and content moderation, development of explainable ai in image recognition, adoption of image recognition in agriculture for crop monitoring.
The growth of the image recognition market is being propelled by the increasing demand for security applications and products integrated with image recognition functions. Image recognition finds extensive applications in security, particularly in services like facial recognition. This technology, utilizing image recognition, is employed to identify individuals in images, and its adoption has risen due to the global increase in terrorist acts, cyberattacks, and identity theft. For example, as reported by Techreport in August 2023, facial recognition technology is widely utilized in airports across 20% of countries for tasks such as check-in security and border control. Therefore, the heightened use of smartphones is expected to drive the demand for the image recognition market.
The image recognition market is anticipated to experience growth due to the increasing prevalence of smartphones. Smartphones, which combine traditional mobile phone functionality with advanced computing capabilities, have witnessed widespread adoption, creating a substantial user base for image recognition applications and services. The ubiquity of smartphones equipped with cameras allows for the integration of image recognition technology into various mobile apps, enhancing accessibility and convenience for users. According to Uswitch Limited in February 2023, mobile connections in the UK increased by 3. 8% from the previous year, reaching 71. 8 million. The projection that around 95% of the UK's population, approximately 65 million individuals, will own a smartphone by 2025 further supports the notion that the rising use of smartphones will fuel the demand for the image recognition market.
Technological advancements are a significant trend gaining traction in the image recognition market. Leading companies in this sector are implementing new technologies like augmented reality (AR) to maintain their market position. Augmented reality refers to the integration of digital data with the user's real-world environment in real time, allowing AR users to interact with their surroundings enhanced by sensory information - be it visual, audio, or otherwise. For instance, in October 2023, Klarna, a Swedish financial services company, launched an innovative AI-driven image recognition tool called "Shopping Lens," aimed at improving the shopping experience for its users. This tool allows customers to upload images of items they wish to purchase, converting these images into searchable terms and guiding them to the best available deals on Klarna's app. With the capability to recognize over 10 million products and match them with more than 50 million offers, Shopping Lens seeks to simplify the buying process by providing price comparisons, reviews, and similar product suggestions. This initiative positions Klarna directly against major tech firms like Google and Amazon, which have also developed comparable tools such as Google Lens and Amazon Rekognition.
Major companies operating in the image recognition market are focusing on the introduction of new technological solutions, such as face occlusion detection, to maintain their market position. Face occlusion detection is a technology used in facial recognition and computer vision systems to identify situations where a portion of a person's face is obscured or hidden. For instance, in May 2023, AWS Amazon Web Services launched face occlusion detection in Amazon Rekognition DetectFaces and IndexFaces APIs to enhance face verification accuracy. This new attribute, FaceOccluded, identifies if a face in an image is partially obscured or not fully visible due to overlapping objects, clothing, or other body parts.
In July 2024, GE HealthCare, a US-based company specializing in healthcare technology and diagnostics, acquired Intelligent Ultrasound for $51 million. The purpose of GE HealthCare's acquisition is to enhance its ultrasound portfolio by integrating advanced AI-driven image analysis tools. Intelligent Ultrasound is a UK-based software and simulation company recognized as a leading global provider of high-fidelity simulation-based ultrasound training products.
Major companies operating in the image recognition market include Google LLC, Catchoom Technologies S. L., Hitachi Ltd., Honeywell International Inc, Amazon Web Services Inc., Blippar Group Limited, Clarifai Inc., CloudSight Inc., Deepomatic, Descartes Labs Inc., EyeEm Mobile GmbH., Imagga Technologies Ltd., iMerit Technology Services, Kneron Inc., Megvii Technology Limited, Neurala Inc., Nviso SA, Osaro Inc., PTC Inc., Qualcomm Technologies Inc., SenseTime Group Limited, Snap Inc., Toshiba Corporation, ViSenze Pte Ltd., Wikitude GmbH, Zebra Medical Vision Ltd., Zivid AS.
North America was the largest region in the image recognition market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the image recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the image recognition market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.
Image recognition refers to the capability of machines or software to identify the contents of an image, which can include objects, places, persons, and more. This technology can be integrated with built-in cameras to execute various activities. Image recognition is employed for machine-based visual tasks, such as labeling image content with meta-tags, conducting image searches, and guiding robots or self-driving cars.
The primary techniques of image recognition include QR/barcode recognition, object recognition, facial recognition, pattern recognition, and optical character recognition. QR/barcode recognition is utilized for tracking and storing product information in supply chains. QR codes, storing information as a series of pixels in a square-shaped grid, can be easily read by digital devices. Image recognition is implemented both on the cloud and on-premises using dedicated hardware, software, and services. Its applications span augmented reality, scanning and imaging, security and surveillance, marketing and advertising, and image search. Various industries, including retail and e-commerce, media and entertainment, BFSI, automobile and transportation, IT and telecom, government, healthcare, and others, leverage image recognition technology.
The image recognition market research report is one of a series of new reports that provides image recognition market statistics, including image recognition industry global market size, regional shares, competitors with an image recognition market share, detailed image recognition market segments, market trends and opportunities, and any further data you may need to thrive in the image recognition industry. This image recognition market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The image recognition market includes revenues earned by entities by providing code recognition, digital image processing, and sensors. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. Image Recognition Market Characteristics3. Image Recognition Market Trends and Strategies4. Image Recognition Market - Macro Economic Scenario Including the Impact of Interest Rates, Inflation, Geopolitics and Covid and Recovery on the Market32. Global Image Recognition Market Competitive Benchmarking and Dashboard33. Key Mergers and Acquisitions in the Image Recognition Market34. Recent Developments in the Image Recognition Market
5. Global Image Recognition Growth Analysis and Strategic Analysis Framework
6. Image Recognition Market Segmentation
7. Image Recognition Market Regional and Country Analysis
8. Asia-Pacific Image Recognition Market
9. China Image Recognition Market
10. India Image Recognition Market
11. Japan Image Recognition Market
12. Australia Image Recognition Market
13. Indonesia Image Recognition Market
14. South Korea Image Recognition Market
15. Western Europe Image Recognition Market
16. UK Image Recognition Market
17. Germany Image Recognition Market
18. France Image Recognition Market
19. Italy Image Recognition Market
20. Spain Image Recognition Market
21. Eastern Europe Image Recognition Market
22. Russia Image Recognition Market
23. North America Image Recognition Market
24. USA Image Recognition Market
25. Canada Image Recognition Market
26. South America Image Recognition Market
27. Brazil Image Recognition Market
28. Middle East Image Recognition Market
29. Africa Image Recognition Market
30. Image Recognition Market Competitive Landscape and Company Profiles
31. Image Recognition Market Other Major and Innovative Companies
35. Image Recognition Market High Potential Countries, Segments and Strategies
36. Appendix
Executive Summary
Image Recognition Global Market Report 2025 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on image recognition market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for image recognition? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The image recognition market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) Covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Technique: QR or Barcode Recognition; Object Recognition; Facial Recognition; Pattern Recognition; Optical Character Recognition2) By Deployment: Cloud; on-Premises
3) By Component: Hardware; Software; Service
4) By Application: Augmented Reality; Scanning and Imaging; Security and Surveillance; Marketing and Advertising; Image Search
5) By Vertical: Retail and E-commerce; Media and Entertainment; BFSI; Automobile and Transportation; IT and Telecom; Government; Healthcare; Other Verticals
Subsegments:
1) By QR or Barcode Recognition: 1D Barcode Recognition; 2D Barcode (QR Code) Recognition2) By Object Recognition: Image Classification; Object Detection
3) By Facial Recognition: 2D Facial Recognition; 3D Facial Recognition
4) By Pattern Recognition: Shape Recognition; Texture Recognition
5) By Optical Character Recognition (OCR): Text Recognition; Handwriting Recognition
Key Companies Mentioned: Google LLC; Catchoom Technologies S. L.; Hitachi Ltd.; Honeywell International Inc; Amazon Web Services Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
Some of the major companies featured in this Image Recognition market report include:- Google LLC
- Catchoom Technologies S. L.
- Hitachi Ltd.
- Honeywell International Inc
- Amazon Web Services Inc.
- Blippar Group Limited
- Clarifai Inc.
- CloudSight Inc.
- Deepomatic
- Descartes Labs Inc.
- EyeEm Mobile GmbH.
- Imagga Technologies Ltd.
- iMerit Technology Services
- Kneron Inc.
- Megvii Technology Limited
- Neurala Inc.
- Nviso SA
- Osaro Inc.
- PTC Inc.
- Qualcomm Technologies Inc.
- SenseTime Group Limited
- Snap Inc.
- Toshiba Corporation
- ViSenze Pte Ltd.
- Wikitude GmbH
- Zebra Medical Vision Ltd.
- Zivid AS
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 200 |
| Published | February 2025 |
| Forecast Period | 2025 - 2029 |
| Estimated Market Value ( USD | $ 61.97 Billion |
| Forecasted Market Value ( USD | $ 127.58 Billion |
| Compound Annual Growth Rate | 19.8% |
| Regions Covered | Global |
| No. of Companies Mentioned | 28 |
