The global Facial Recognition Software (FRS) market size is predicted to grow from US$ 7445 million in 2025 to US$ 17640 million in 2031; it is expected to grow at a CAGR of 15.5% from 2025 to 2031.
Facial recognition software (FRS) is defined as a biometric tool used to match faces in images, usually from photos and video stills, against an existing database of identities. It can be broken down into three parts — detection (finding a face in an image), analysis (face mapping), and recognition (confirming identity).
Facial recognition technology is versatile and is rapidly being adopted by a variety of end users. For example, in January 2020, electronic information technology company NEC announced that it would provide facial recognition technology to Japanese real estate company Mitsui Fudosan Co., Ltd. The offering includes smart hotel services, a solution that uses facial recognition technology. Additionally, the solution, with the help of facial recognition technology, will help users feel at ease when checking into a hotel. It will be used for various services including cashless payments, entertainment facilities, room access and check-in.
The increasing adoption of facial recognition technology in various applications is the driving force for the market growth. Border authorities use the technology to verify identities, especially at airports. Law enforcement agencies also use facial recognition software to scan faces captured on CCTV and locate target individuals. Another application where this technology is widely adopted is in smartphones.
For example, in January, Samsung's Galaxy Note 8 and 9 smartphone models and the iPhone X series were the most popular devices using facial recognition technology. Other smartphone devices like OnePlus 6, Oppo Find X, MotoG6, Huawei Honor 7X, and LG G7 use 2D technology and iris scanners to scan the user’s face. iPhone X Face ID consists of a depth sensor, dot projector, and infrared camera that maps 30,000 dots on the user's face. From this data, the software develops a human 3D scan that securely unlocks the phone and authenticates digital payments through Apple Pay.
The increasing adoption of this technology by law enforcement agencies has significantly contributed to the growth of the market. For example, in January 2020, the city of Moscow announced the use of real-time facial recognition cameras provided by NtechLab, a developer of artificial intelligence algorithms. The city's police authorities will use facial recognition technology to search for suspects through live cameras. When a match is found, the software notifies police. In another example, MorphoTrust, a subsidiary of IDEMIA and one of the most prominent providers of biometric products and services in the United States, develops facial recognition systems for state and federal law enforcement agencies, state DMVs, state government departments, and airports.
ReportPrime' newest research report, the “Facial Recognition Software (FRS) Industry Forecast” looks at past sales and reviews total world Facial Recognition Software (FRS) sales in 2024, providing a comprehensive analysis by region and market sector of projected Facial Recognition Software (FRS) sales for 2025 through 2031. With Facial Recognition Software (FRS) sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Facial Recognition Software (FRS) industry.
This Insight Report provides a comprehensive analysis of the global Facial Recognition Software (FRS) landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Facial Recognition Software (FRS) portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Facial Recognition Software (FRS) market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Facial Recognition Software (FRS) and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Facial Recognition Software (FRS).
This report presents a comprehensive overview, market shares, and growth opportunities of Facial Recognition Software (FRS) market by product type, application, key players and key regions and countries.
Segmentation by Type:
- On-Premise
- Cloud Deployment
Segmentation by Application:
- Retail
- Advertising Sectors
- E-commerce
- Automobile
- Healthcare
- Others
Market by Region:
- Americas
- United States
- Canada
- Mexico
- Brazil
- APAC
- China
- Japan
- Korea
- Southeast Asia
- India
- Australia
- Europe
- Germany
- France
- UK
- Italy
- Russia
- Middle East & Africa
- Egypt
- South Africa
- Israel
- Turkey
- GCC Countries
Company's Coverage:
- Amazon
- Betaface
- BioID
- Cognitec
- DeepVision
- Facefirst
- Kairos
- Sky Biometry
- SenseTime
- Faceplusplus
Key Questions Addressed in this Report
Frequently Asked Questions
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- Global Market Players
- Geopolitical regions
- Consumer Insights
- Technological advancement
- Historic and Future Analysis of the Market