GVR Report cover Image Recognition Market Size, Share & Trends Report

Image Recognition Market Size, Share & Trends Analysis Report By Technique, By Application, By Component (Hardware, Software), By Deployment Mode, By Vertical, By Region, And Segment Forecasts, 2023 - 2030

  • Report ID: GVR-2-68038-351-5
  • Number of Pages: 150
  • Format: Electronic (PDF)
  • Historical Range: 2017 - 2021
  • Industry: Technology

Image Recognition Market Size & Trends

The global image recognition market size was valued at USD 45.02 billion in 2022 and is expected to expand at a compound annual growth rate (CAGR) of 13.4% from 2023 to 2030. Image recognition technology, powered by machine learning, has been embedded in several fields, such as self-driving vehicles, automated image organization of visual websites, and face identification on social networking websites. One of the most popular applications of image identification is social media monitoring, as visual listening and visual analytics are essential factors of digital marketing. Image recognition is highly used in applications related to safety and security, such as facial recognition used by law enforcement agencies. Furthermore, airports are increasingly using face remembrance technology at security checkpoints. For instance, in August 2019, Transportation Security Administration (TSA) conducted a short-term test for identity verification automation of the Travel Document Checker (TDC) at McCarran International Airport (LAS). This test involved facial recognition technology to assess the TDC’s ability to compare an image taken from a passenger’s identity document against the photo taken at the checkpoint.

U.S. Image Recognition Market size and growth rate, 2023 - 2030

Major companies from various verticals, such as automotive, retail and e-commerce, security, and healthcare, are rapidly implementing digital image processing. For instance, in April 2022, Hyundai Motor Company and IonQ, the U.S.-based quantum computing company, joined forces to introduce a project to leverage quantum machine learning for image classification and 3D object detection in future mobility solutions. This collaboration entails the development of quantum techniques, utilizing IonQ's state-of-the-art quantum computer, IonQ Aria, to enhance the recognition of various objects, including pedestrians, cyclists, and road signs. By harnessing the power of quantum computing, the project aims to achieve more efficient and cost-effective processing, ultimately contributing to the advancement of safer and smarter mobility systems.

The increasing preference among individuals for high-bandwidth data services and advanced machine learning has increased the demand for image recognition technology. Establishments among various verticals such as media & entertainment; retail; IT & telecom; and Banking, Financial Services, and Insurance (BFSI) have resulted in the increasing use of advanced technologies in their organization, which, in turn, has boosted the adoption of image recognition. The image recognition system helps to identify objects, buildings, places, logos, and people, among other images. Furthermore, recent developments in image recognition technology have allowed users to link offline content, such as brochures and magazines, with digital content, such as promotional videos, augmented reality experiences, and product information, with the help of images captured on a smartphone.

Furthermore, an automated image recognition system plays a crucial role in computer vision, which is used to identify or detect an image or an attribute in digital images or videos. It enables users to gather and analyze data in real time. The data is collected in high dimensions and produces numerical or symbolic information. As part of image recognition, computer vision enables object recognition, event detection, image reconstruction, learning, and video tracking.

Image recognition technology has witnessed several opportunities emerging in applications such as big data analytics and effective branding of products and services, owing to the extending reach of image databases. Some image databases, such as ImageNet and Pascal VOC, are freely available. The database contains millions of keyword-tagged images describing the objects in the image. It forms the basis for image recognition and enables computers to accurately and quickly identify objects in the picture. For instance, image recognition solutions quickly identify dogs in the image because it has learned what dogs look like by analyzing numerous images tagged with “dog.” Some leading social networking sites, such as Google and Facebook, have the advantage of accessing several user-labeled photos directly from their database to prepare their deep-learning networks to be highly accurate in detecting objects.

Furthermore, since the database serves as the training material for image recognition solutions, open-source frameworks such as software libraries and software tools form the building blocks of the solution. It helps to prepare or train machines to learn from the images available in the database by providing different types of computer vision functions such as medical screening, obstacle detection in vehicles, and emotion & facial recognition, among others. Some of the leading libraries for image recognition include UC Berkeley's Caffe, Google TensorFlow, and Torch.

The COVID-19 pandemic fueled the demand for contactless solutions, leading to increased adoption of image recognition technology. Facial recognition and gesture recognition systems have gained prominence across healthcare, retail, and transportation sectors, enabling touchless access control and authentication. Moreover, image recognition technology has played a crucial role in remote work and virtual communication, facilitating virtual meetings, real-time image analysis, and enhancing visual collaboration.

Technique Insights

Based on the technique, the market has been segmented into object recognition, QR/ barcode recognition, pattern recognition, facial recognition, and optical character recognition. The facial recognition segment held the highest market share of 22.1% in 2022. The increasing demand for enhanced security measures across various industries, such as government, banking, and retail, has significantly contributed to the dominance of facial recognition systems. The ability of facial recognition to provide convenient and secure identity verification, prevent unauthorized access, and detect potential threats or fraudulent activities has made it a sought-after solution in these sectors.

The pattern recognition segment is estimated to register a significant CAGR of 14.6% over the forecast period. The rise of artificial intelligence and machine learning has significantly contributed to the importance of pattern recognition. Pattern recognition is crucial for tasks such as image and speech recognition, natural language processing, anomaly detection, and recommendation systems. The increasing integration of AI and machine learning in various applications has led to a growing demand for robust pattern recognition techniques.

The object recognition segment held a significant market share in 2022. Object identification is a form of computer vision that has gained momentum in consumer-facing tech companies and enterprises. Also, facial recognition is expected to demonstrate a notable shift in its growth over the forecast period as it is being adopted in industries ranging from manufacturing to security and surveillance.

QR/barcode recognition is also a significant image identification technique as corporations rapidly adopt barcode scanners to track their fixed assets. Several benefits of barcode recognition, such as smooth internal operations, time-saving, and accuracy, have encouraged businesses to adopt barcode scanners. Also, the use of barcode recognition in numerous applications, such as entertainment, advertisement, games, art and pop culture, and tracking products, has contributed to the significant market share of this technique. Adopting this technique in retail and other businesses is expected to boost the growth of the QR/ barcode recognition segment in the coming years.

Application Insights

Based on applications, the market has been segmented into scanning and imaging, security and surveillance, augmented reality, marketing and advertising, and image search. The marketing and advertising segment dominated the market with a market share of 29.9% in 2022. Many businesses adopted technology with advanced advertising, customer interaction, and branding to improve their marketing activities. The major social media platforms use AI-enabled image recognition technologies to improve the user experience and allow advertisers to place contextually relevant advertisements.

Global Image Recognition Market share and size, 2022

The augmented reality segment is anticipated to witness the fastest growth of 17.0% over the forecast period. The image identification technology can detect 2D images and trigger augmented content to appear through slideshows, videos, sound, 360° panoramas, 3D animations, and text. Image recognition in augmented reality is being used for multiple purposes, such as product display, entertainment, and augmentation of printed magazines.

For instance, Busch-Jaeger Elektro GmbH, a global provider of electrical installation technology and related products and services, uses augmented reality to create product presentations. Furthermore, abenteuer und reisen, a Germany-based travel magazine based on city trips, long-distance travel, and lifestyle, has many app users accessing augmented reality experiences within its printed editions.

Component Insights

Based on components, the market has been segmented into hardware, software, and service. The service segment held the largest revenue share of 38.5% in 2022 and is expected to capture the fastest CAGR of 14.9% during the forecast period. The service segment offers tailored image recognition solutions that can be customized to meet the specific needs of businesses across various industries. This level of personalization allows companies to integrate image recognition technology seamlessly into their existing systems and workflows, resulting in enhanced efficiency and productivity.

The software segment is expected to grow at a significant CAGR of 12.7% over the forecast period owing to the growing adoption of image processing software for various applications, such as medical imaging, computer graphics, and photo editing. The trend of using digital image processing in developing computer vision-related software with the help of API is expected to enhance the demand for the market over the forecast period. For instance, several API platforms, such as Amazon Rekognition, provide an option of adding video or image analytics to an application and enhancing the object identification capability of the application. Also, Microsoft Computer Vision API, a cloud-based API tool offered by Microsoft, provides developers with access to image processing and content visualization. Several businesses and corporations leverage image recognition software to boost content discoverability and accelerate text extraction.

Deployment Mode Insights

Based on the deployment mode, the market has been segmented into on-premise and cloud. The cloud segment dominated the market with a revenue share of 70.6% in 2022 and is anticipated to retain its position over the forecast period. This growth in the cloud-based market is attributed to its increased adoption in verticals where centralized monitoring is required, such as Banking, Financial Services, Insurance (BFSI), media and entertainment, and government. Also, cloud-based deployment provides access to the API (Application Programming Interface) available in different servers or sources.

Several organizations implement cloud-based image processing solutions to secure confidential data and reinforce marketing endeavors. These solutions assist users in adopting innovative techniques in their daily activities without hampering their budgets. For instance, Amazon Rekognition, powered by deep learning technology, gives highly accurate facial search capabilities and facial analysis that can be used for detecting, analyzing, and comparing faces for various user verification and public safety use cases. Also, Google Vision, part of the Google Cloud Platform, enables developers to implement machine learning models to understand the image's content.

The on-premises segment is estimated to grow at a significant CAGR of 8.8% over the forecast period. On-premise image recognition solutions allow organizations to customize and tailor the software to their needs. This level of customization enables businesses to integrate image recognition capabilities seamlessly into their existing workflows, applications, or proprietary systems. Moreover, the ability to fully control the solution and adapt it to specific use cases drives the demand for on-premise image recognition.

Vertical Insights

Based on vertical, the market has been segmented into media and entertainment, BFSI, automobile and transportation, retail and e-commerce, telecom and IT, government, healthcare, and others. The retail & e-commerce segment dominated the market and represented a market share of 21.1% in 2022. With the help of image identification, online shoppers can search for clothing or accessories by taking a picture of a garment, texture, print, or color of their choice. The photo captured by the smartphone is uploaded to an app that searches an inventory of products to find similar products using AI technology. Also, image recognition technology is being increasingly adopted in autonomous vehicles, which is anticipated to contribute to the noticeable growth in the automobile and transportation segments. Autonomous cars can detect obstacles and warn the driver about their proximity to walkways and guardrails with the help of this technology. The technology is also capable of reading stoplights and road signs.

The healthcare segment is estimated to register the fastest CAGR of 16.1% over the forecast period. Image recognition technology streamlines and automates several aspects of healthcare workflows. By automating repetitive tasks, image recognition improves operational efficiency, reduces human error, and enhances the overall productivity of healthcare facilities. This efficiency allows healthcare providers to allocate resources more effectively, improving patient care and outcomes. The demand for image recognition solutions grows as healthcare organizations prioritize optimizing their workflows.

The media and entertainment segment represented a significant share in 2022 due to image recognition technology's ability to extract business insights from pictures shared on social media. The evolution of virtual reality environments has transformed the media and entertainment industries, including interactive media, games, advertising, and TV and film production experiences, by implementing computer vision and machine learning. For instance, Watson Media, offered by IBM Corporation, allows sports enthusiasts to capture highlights of a match automatically and share them on social media.

Regional Insights

North America accounted for the largest market share of 34.8% in 2022, majorly due to the rapid growth of cloud-based streaming services in the U.S. The segment's growth is attributed to the increasing integration of artificial intelligence and mobile computing platforms in digital shopping and e-commerce. The European regional market is expected to grow significantly over the forecast period due to advancements in automobile obstacle-detection technologies.

The image recognition market is expected to witness a surge in the adoption of the technology across various regions owing to benefits such as extracting business insights from socially shared pictures and auto-organizing untagged photo collections. In addition, it also offers safety features in autonomous cars. The rising competition among image recognition solution providers has propelled vendors to focus on developing innovative products to sustain themselves in the competition.

Image Recognition Market Trends by Region, 2023 - 2030

Asia Pacific is projected to grow at the fastest CAGR of 16.7% over the forecast period. This growth is attributed to the increasing use of mobiles and tablets, rapid technological advancements, and the popularity of online streaming in emerging economies, such as China and India. The growth is attributed to the high adoption of mobility and cloud solutions to address information security. The economic growth of countries like China and India, the growing adoption of smartphones, and the developing e-commerce sector are crucial factors fueling regional growth.

The growing applications of face remembrance in security and surveillance systems in China are projected to drive market growth in the Asia Pacific. For instance, the Chinese government has enforced real-name registration policies in the country, under which citizens must link their online account with the official government ID. These policies have made image recognition more ubiquitous across the nation.

Key Companies & Market Share Insights

The industry players are undertaking strategies such as product launches, acquisitions, and collaborations to increase their global reach. For instance, in June 2021, Nanopass Technologies announced that its MicronJet, a microneedle-based technology for intradermal drug delivery, has received FDA clearance and CE marking. The device is designed for intradermal injections of any substance or medication approved for this method of administration.

Key Image Recognition Companies:

  • Blinkfire Analytics, Inc.
  • Gumgum, Inc.
  • Kairos AR, Inc.
  • SparkTrendz
  • Cloudsight, Inc.
  • Chooch.com
  • Google
  • Attrasoft, Inc.
  • Catchroom
  • Hitachi, Ltd.
  • Honeywell International Inc.
  • LTUTech
  • NEC Corporation
  • Qualcomm Technologies, Inc.
  • Slyce Acquisition Inc.
  • Wikitude GmbH

Recent Developments

  • In May 2023, Portuguese game studio MetaStudio unveiled a strategic collaboration with Immutable, a prominent Ethereum Layer 2 scaling solutions provider. This partnership is expected to revolutionize the gaming metaverse by introducing innovative technologies and advancements. With MetaStudio's expertise in game development and Immutable's cutting-edge scaling solutions, the collaboration aims to redefine the gaming experience and push the boundaries of what is possible in the virtual world.

  • In April 2023, Philips and AWS collaborated to migrate Philips HealthSuite Imaging PACS to the cloud, enabling the advancement of AI-powered tools to assist clinicians. Its expanded collaboration with AWS aims to facilitate the development and implementation of generative AI applications. These applications will enhance clinical workflows, ensure efficiency, and improve diagnostic capabilities. By harnessing the power of the cloud and AI, Philips and AWS are dedicated to driving innovation in healthcare and providing clinicians with advanced tools to deliver better patient care.

  • In November 2022, NEC Corporation commenced promoting its advanced multimodal biometric authentication solution, the flagship offering under its "Bio-IDiom" brand. This groundbreaking solution is the first to integrate NEC's industry-leading face recognition and iris recognition technologies, acknowledged as the world's top performers by the US National Institute of Standards and Technology (NIST). Starting today, NEC is introducing this solution to the Japanese market, with plans for a global release in the spring of 2023. This innovative authentication solution signifies NEC's commitment to delivering cutting-edge biometric solutions to meet the diverse needs of customers worldwide.

  • In July 2022, Clarifai, the major AI platform specializing in unstructured image, video, text, and audio data, unveiled Clarifai Community, a new complimentary service. The Clarifai Community aims to empower individuals to create, share, and utilize AI capabilities globally. Leveraging Clarifai's comprehensive platform, known for its end-to-end AI lifecycle management, this service caters to the needs of data scientists, developers, and even non-technical business users. With Clarifai Community, users can access powerful AI tools, fostering collaboration and innovation across various domains.

  • In May 2022, Hitachi, Ltd. introduced Lumada Inspection Insights, an all-inclusive digital solution suite for inspecting, monitoring, and optimizing vital assets. Developed by Hitachi Energy and Hitachi Vantara, Lumada Inspection Insights allows customers to automate asset inspection processes while driving sustainability initiatives, enhancing physical security, and mitigating risks associated with storms or fires. The solution, integrated with advanced artificial intelligence (AI) capabilities, employs powerful analysis of photographs and videos, including LiDAR, thermal, and satellite imagery. This comprehensive offering empowers organizations to streamline asset management and make informed decisions to ensure operational efficiency and resilience.

  • In November 2021, the Snapdragon Spaces XR Developer Platform was introduced to facilitate the creation of augmented reality (AR) experiences that seamlessly adapt to the surrounding spaces. With a primary focus on developers, the platform integrates established technology and an open ecosystem, enabling exploring new possibilities in spatial computing. This innovative platform paves the way for the advancement of AR applications, offering immersive experiences that seamlessly blend digital content with real-world environments.

Image Recognition Market Report Scope

Report Attribute


Market size value in 2023

USD 53.29 billion

Revenue forecast in 2030

USD 128.28 billion

Growth Rate

CAGR of 13.4% from 2023 to 2030

Base year for estimation


Historical data

2017 - 2021

Forecast period

2023 - 2030

Quantitative units

Revenue in USD million/billion and CAGR from 2023 to 2030

Report coverage

Revenue forecast, company ranking, competitive landscape, growth factors, and trends

Segments covered

Technique, application, component, deployment mode, vertical, region

Regional scope

North America; Europe; Asia Pacific; Latin America; MEA

Country scope

U.S.; Canada; UK; Germany; France; China; Japan; India; Australia; South Korea; Brazil; Mexico; Saudi Arabia; South Africa; UAE

Key companies profiled

Blinkfire Analytics, Inc.; Gumgum, Inc.; Kairos AR, Inc.; SparkTrendz; Cloudsight, Inc.; Chooch.com; Google; Attrasoft, Inc.; Catchroom; Hitachi, Ltd.; Honeywell International Inc.; LTUTech; NEC Corporation; Qualcomm Technologies, Inc.; Slyce Acquisition Inc.; Wikitude GmbH

Customization scope

Free report customization (equivalent up to 8 analyst’s working days) with purchase. Addition or alteration to country, regional & segment scope

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Global Image Recognition Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global image recognition market based on technique, application, component, deployment mode, vertical, region:

  • Technique Outlook (Revenue, USD Million, 2017 - 2030)

    • QR/ Barcode Recognition

    • Object Recognition

    • Facial Recognition

    • Pattern Recognition

    • Optical Character Recognition

  • Application Outlook (Revenue, USD Million, 2017 - 2030)

    • Augmented Reality

    • Scanning & Imaging

    • Security & Surveillance

    • Marketing & Advertising

    • Image Search

  • Component Outlook (Revenue, USD Million, 2017 - 2030)

    • Hardware

    • Software

    • Service

      • Managed

      • Professional

      • Training, Support, and Maintenance

  • Deployment Mode Outlook (Revenue, USD Million, 2017 - 2030)

    • Cloud

    • On-Premises

  • Vertical Outlook (Revenue, USD Million, 2017 - 2030)

    • Retail & E-commerce

    • Media & Entertainment

    • BFSI

    • Automobile & Transportation

    • IT & Telecom

    • Government

    • Healthcare

    • Others

  • Regional Outlook (Revenue, USD Million, 2017 - 2030)

    • North America

      • U.S.

      • Canada

    • Europe

      • UK

      • Germany

      • France

    • Asia Pacific

      • China

      • Japan

      • India

      • Australia

      • South Korea

    • Latin America

      • Brazil

      • Mexico

    • Middle East and Africa

      • Saudi Arabia

      • South Africa

      • UAE

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