The global image recognition market size reached a value of more than USD 39.41 Billion in 2025. The market is further expected to grow at a CAGR of 14.80% between 2026 and 2035 reaching a value of USD 156.68 Billion by 2035.
Base Year
Historical Period
Forecast Period
Compound Annual Growth Rate
14.8%
Value in USD Billion
2026-2035
*this image is indicative*
Image recognition is a process by which an object or a feature such as actions or writings are identified in a video or image. It is used for various purposes such as medical imaging, to detect defects and for security surveillance. For image recognition, a single high-level label is assigned by the artificial intelligence model to the image or the video.
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The EMR’s report titled “Image Recognition Market Report and Forecast 2026-2035” offers a detailed analysis of the market based on the following segments:
Market Breakup by Component
Market Breakup by Deployment Mode
Market Breakup by Technique
Market Breakup by End Use
Market Breakup by Region
Software components hold a substantial share of the image recognition market, which can be attributed to the rapid advancements in software and the ease of upgrading to new software types. In image recognition, the identification capabilities are dependent upon the software. With basic hardware setup, advanced software can be used for various image recognition applications such as in computer graphics, medical imaging, and photo editing which has increased the demand of software in the market.
New software types often support image or video analytics features, enhancing the object identification capabilities and data analysis of larger volumes of data. Several industries use image recognition software to accelerate the extraction of the text from images. Dedicated image recognition software is also available for specific applications, increasing its demand in the market for image recognition.
Object recognition is expected to account for a sizable share in the image recognition market due to the versatility in applications it offers. Based on the specific niche, object recognition can be adapted identify an object according to any parameter. In manufacturing, object recognition can be used to flag defects in products and in healthcare it can identify any aberrations in radiology or other imaging tests. Object recognition can also be used in the BFSI sector when scanning forms to identify any irregularities.
Meanwhile, facial recognition is projected to witness significant growth in the coming years. Facial recognition is being widely adopted by companies and governments for purposes of surveillance and security. By utilising facial recognition, end users can maximise results with fewer personnel, thereby saving costs and reducing errors.
The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the global image recognition market covering their competitive landscape and latest developments like mergers, acquisitions, investments, and expansion plans.
NEC Corporation was established in 1899 and is headquartered in Tokyo in Japan. It is a Japanese information technology and electronics company that deals with the manufacture of products related to 5G, healthcare, computers, and other network products. They also provide solutions for society which promote efficiency, safety, and security.
Hitachi, Ltd. founded in 1910 is based out of Tokyo, Japan. It manufactures and provides its customers with construction machinery, smart life and eco-friendly systems, information and telecommunication systems, automotive systems, power systems and various other products for consumer and industrial use. It aims at creating a society that is sustainable with the help of data and technology.
Attrasoft, Inc. was founded in 2001 with headquarters in Georgia in the United States. Attrasoft, Inc. specialises in artificial intelligence and deep learning, developing software that can learn and adapt to user needs. Its range of products help with image recognition, single site image search engine, object detection within an image, video object detection, surveillance video analysis, and image tagging, among others.
*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*
Other market players include Honeywell International Inc., and Partium Technologies GmbH, among others.
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*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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The global market for image recognition reached a value of more than USD 39.41 Billion in 2025.
The market is expected to grow at a CAGR of 14.80% between 2026 and 2035.
The major market drivers are adoption of advanced technology, increasing demand from a wider range of end users, and growing need for safety and surveillance.
The key trends of the market are usage in manufacturing for quality control, image and video tagging for easier analysis, and increasing applications in healthcare for faster diagnoses and improved prognoses.
Key players in the image recognition market include NEC Corporation, Hitachi, Ltd., Attrasoft, Inc., Honeywell International Inc., and Partium Technologies GmbH, among others.
Image recognition is a process by which an object or a feature such as actions, objects, or writings are identified in still images or in video.
The key advantages of image recognition are that it improves efficiency, saves manual efforts, reduces errors, can operate all hours, and can be customised as needed.
The primary components of image recognition are software, hardware, and services.
The various techniques in image recognition are barcode recognition, facial recognition, and object recognition, among others.
The key end uses of image recognition are BFSI, IT and telecom, healthcare, retail, transportation and logistics, and manufacturing, among others.
Explore our key highlights of the report and gain a concise overview of key findings, trends, and actionable insights that will empower your strategic decisions.
| REPORT FEATURES | DETAILS |
| Base Year | 2025 |
| Historical Period | 2019-2025 |
| Forecast Period | 2026-2035 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Component |
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| Breakup by Deployment Mode |
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| Breakup by Technique |
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| Breakup by End Use |
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| Breakup by Region |
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| Market Dynamics |
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| Competitive Landscape |
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| Companies Covered |
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