The global image recognition market size is expected to reach USD 128.3 billion by 2030, registering a CAGR of 12.8% from 2024 to 2030, according to a new report by Grand View Research, Inc. Image processing and recognition have evolved with numerous powerful applications, such as security and surveillance, and medical imaging that have created a great value from a business perspective. Functions of figure identification, such as facial or object recognition, visual geolocation, barcode reading, and automated driver assistance, among other industrial automation-related functions, have demonstrated the versatility of this technology. When combined with AI, this technology has begun to create valuable growth opportunities in several verticals, such as gaming, social networking, and e-commerce. For instance, Twitter and Facebook, two major platforms in the world of social networking, have benefited from the technology in terms of audience engagement as they have created a more connected experience by encouraging users to share images and tag their friends.
The advent of digital cameras, particularly cameras built into smartphones, has led to an exponential growth in the volume of digital content in the form of images and videos. A vast amount of visual and digital data is being captured and shared through several applications, websites, social networks, and other digital channels. Several businesses have leveraged this online content to deliver better and smarter services to their customers, with the use of digital image processing. For instance, in October 2019, SnapPay Inc., a U.S. based payment platform provider, has launched facial recognition payment technology in the North America region. By using this thechnology in its payment solution, the company has aimed at allowing its customers a new level of convenience for payments at retail outlets.
However, data cleaning and hardware processing power remain as the two significant challenges involved in building areliable technology. Also, considering the time, complexity, and cost associated with software development for image identification, many companies may not have the resources who can produce acceptable and accurate results. Therefore, several companies are taking strategic initiatives to expand their business with the help of image processing and recognizing techniques. For instance, in July 2019, Star Alliance, a global airline, announced a partnership with NEC Corporation to develop a biometric data-based identification platform for the pass-through areas at the airports, such as boarding gates and check-in kiosks. This AI-based platform and biometric passport would help the passengers to get through passport control without the need to show documents to the border officials.
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Facial recognition dominated the market and accounted for the largest revenue share of 22.5% in 2023. 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 service segment led the market and accounted for the largest revenue share of 39.1% in 2023. The service segment offers tailored image recognition solutions that can be customized to meet the specific needs of businesses across various industries.
The cloud segment held the largest market revenue share of 71.6% in 2023. The rise in the cloud-based market is due to its greater use in industries needing centralized monitoring, such as BFSI, media, government, and entertainment.
The retail & e-commerce segment dominated the market with a share of 21.0% in 2023. E-commerce websites prioritize content management to enhance their product offerings and boost sales.
The marketing & advertising segment held the largest market share of 29.6% in 2023. Many businesses adopted technology with advanced advertising, customer interaction, and branding to improve their marketing activities.
North America image recognition market dominated the global market and accounted for the largest revenue share of 34.0% in 2023. The rise in the market is due to the growing inclusion of AI and mobile computing in online shopping and e-commerce industries.
Grand View Research has segmented global image recognition market report based on, technique, component, deployment mode, vertical, application, and region:
Image Recognition Technique Outlook (Revenue, USD Million, 2018 - 2030)
QR/ Barcode Recognition
Object Recognition
Facial Recognition
Pattern Recognition
Optical Character Recognition
Image Recognition Component Outlook (Revenue, USD Million, 2018 - 2030)
Hardware
Software
Service
Managed
Professional
Training, Support, and Maintenance
Image Recognition Deployment Mode Outlook (Revenue, USD Million, 2018 - 2030)
Cloud
On-Premises
Image Recognition Vertical Outlook (Revenue, USD Million, 2018 - 2030)
Retail & E-commerce
Media & Entertainment
BFSI
Automobile & Transportation
Telecom & IT
Government
Healthcare
Others
Image Recognition Application Outlook (Revenue, USD Million, 2018 - 2030)
Augmented Reality
Scanning & Imaging
Security & Surveillance
Marketing & Advertising
Image Search
Image Recognition Regional Outlook (Revenue, USD Million, 2018 - 2030)
North America
U.S.
Canada
Mexico
Europe
UK
Germany
France
Asia Pacific
China
India
Japan
Australia
South Korea
Latin America
Brazil
Middle East and Africa (MEA)
Saudi Arabia
South Africa
UAE
List of Key Players of Image Recognition Market
Attrasoft, Inc.
Blinkfire Analytics, Inc.
Catchroom
Chooch.
Cloudsight, Inc.
GumGum, Inc.
Hitachi, Ltd.
Honeywell International Inc.
Kairos AR, Inc.
LTU Tech
NEC Corporation
Qualcomm Technologies, Inc.
DEEPSIGNALS
Calrifai, Inc.
Wikitude, a Qualcomm company
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