세계의 AI 대응 생체인식 시장(2023-2030년)

Overview

Global AI-enabled Biometrics Market reached US$ 12.7 billion in 2022 and is expected to reach US$ 36.1 billion by 2030, growing with a CAGR of 16.5% during the forecast period 2023-2030.

People's digital usage has become unpleasant as a result of a rise in cyber dangers, as they begin to lose faith in the security and privacy of their online activities. AI enhances this experience by providing an additional degree of security. Advanced biometric technologies such as behavioral biometrics, palm vein biometrics and AI-powered biometrics are growing more popular as high-end installations need greater accuracy and faster reaction times.

As a result of the country's multiple government agencies implementing surveillance technologies, China is one of the primary purchasers and exporters of facial recognition technology. The country currently boasts the most extensive public surveillance system. According to Comparitech, a pro-consumer website, China accounts for 54% of the world's cameras or 540 million CCTV cameras.

During the forecast period, North America is expected to be the dominant region in the global AI-enabled biometrics market holding about 1/3rd of the market. Government measures are expected to contribute significantly to the rapid expansion of such technologies. For example, U.S. government intends to redefine airport security by using facial recognition, registering and identifying travelers. Furthermore, several North American Free Trade Agreement (NAFTA) member banks have made the use of facial and voice recognition technologies for online identity verification a requirement.

Dynamics

Rising AI-based Security

For years, biometric authentication technology has been a significant business development, particularly in 2021 due to the latest AI innovations on the market. According to IBM, compromised credentials cause 20% of breaches. Worse, detecting and responding to a data breach can take an average of 287 days. AI-based security is becoming more popular and will be required to remain competitive in any business.

According to IBM, by 2021, 25% of enterprises will have completed AI-based security implementation, while 40% will be partially implemented. The remaining 35% have not initiated this procedure and if your company falls into this group, your clients may be at risk of dangerous data breaches. In 2021, investing in AI-based security saved a company up to US$ 3.81 million. Furthermore, IBM's research demonstrates that proper use of AI security platforms will cost enterprises less.

Rising Behavioral Biometrics

Behavioral biometric technology is one of the most intriguing trends enabled by artificial intelligence. It employs distinct behavioral aspects of how they interact with the world, which the user may be unaware of. It is one of the most effective lines of defense against attempted deep fake fraud.

BeCAPTCHA, a bot detection system based on behavioral biometrics, was created by the Autonomous University of Madrid's Biometrics and Data Pattern Analytics Lab. It's certainly plausible that behavioral biometrics may be utilized without the user's knowledge, removing the need for vexing tests of the user's humanity, as CAPTCHA difficulties have done for years.

Importantly, behavioral biometrics can help ensure security during a session. For example, if a user authenticates themselves and then exits the room, inadvertently allowing an unauthorized user access to their computer, this is a severe security concern. However, behavioral biometrics can detect the second user's inconsistent behavior and dynamically restrict their access, fueling demand for AI-enabled biometrics.

Growing Cyberattacks

AI-enabled biometric systems are not always totally accurate and their performance can be influenced by factors such as lighting, environmental noise and differences in user attributes. False positives and negatives can be troublesome. As machine learning and AI skills are becoming more pervasive in daily life, cybercriminals are becoming cleverer, both in terms of defining the aims of their assaults and the tech tools they utilize.

Because AI has improved thieves' approaches, they now assault systems ruthlessly and consistently on a daily basis, focusing on weak places. Deepfake is an example of an AI-based cyberattack that is used to compromise identification systems by imitating victims' face features. As a result, the development of these complex threats will increase.

Segment Analysis

The global AI-enabled biometrics market is segmented based modalities, end-user, application and region.

Growing Adoption and Necessity of Facial Recognition

Facial recognition is expected to cover around 1/3rd of the global market during the forecast period 2023-2030. For years, facial recognition biometric authentication technology has been a treasured security feature, finding its way on millions of iPhone and Android handsets. Face recognition technology has evolved more than ever before in 2021, thanks to developments in augmented reality and machine learning that aid computer recognition of human faces.

Various advancements from commercial and public organizations are further driving market expansion. In August 2022, for example, DRDO developed advanced Facial Recognition Technology (FRT) to improve surveillance. The DRDO created FRSD to address the issue of facial recognition in the field, where there are numerous challenges such as low-resolution cameras.

Geographical Penetration

Growing Advancements and Innovations in Asia-Pacific

Asia-Pacific is expected to be the fastest growing region in the global AI-enabled biometrics market holding about 1/4th of the market in 2022. As a result of technical advancements, expanding infrastructural developments and increased application in a variety of fields, the region is one of the most prominent places for implementing face recognition. Massive industrialization and a rising consumer electronics industry in the region present exciting opportunities for market participants and the potential for significant expansion.

China is adopting facial recognition payments. AliPay, China's largest payment app, has begun testing the smile-to-pay function at a KFC location in Southern China, which uses facial recognition to identify clients and immediately charges them via the app. Companies have worked with federal governments to implement surveillance and identity management systems. Alibaba, the Chinese e-commerce behemoth, has invested US$ 600 million in SenseTime, a Hong Kong-based company that supplies facial recognition software to businesses and agencies throughout China.

Furthermore, Hyderabad International Airport declared in August 2022 that it will use facial recognition to provide seamless and hassle-free travel. In accordance with the DigiYatra programme, the Hyderabad International Airport will pilot digital passenger processing via the DigiYatra platform.

Competitive Landscape

major global players in the market include: IDEMIA, NEC Corporation, Fujitsu Ltd., Facephi Biometria, S.A., Thales Group, Leidos Holdings, Inc., Fingerprint Cards AB, Nuance Communications, Aware Inc. and Veridium.

COVID-19 Impact Analysis

Since the spread of COVID-19, vendors all over the world have already modified their algorithms to accommodate new developments and conventions. For example, the National Institute of Standards and Technology (NIST) discovered that numerous algorithms that have been adjusted since the pandemic began generate considerably less errors when analyzing masked faces. Error rates were five times lower in some circumstances than previously.

Biometric equipment is used to measure body temperature and other indicators in airports, healthcare facilities and commercial offices. In the healthcare industry, biometric authentication is in significant demand to protect patient data, electronic health records and telemedicine applications. Biometrics improve security and enable healthcare providers to remotely access patient data.

AI Impact

Biometric authentication has changed the way confidential data and identities are protected and secured. Many biometric modalities, including as facial recognition, fingerprint scanning, iris scanning, voice recognition and behavioral biometrics, are becoming easier to combine with AI. It allows for more accurate and robust identification, as well as the matching of numerous biometric traits. Biometric modalities are growing more prominent in a variety of industry areas.

One of the most efficient AI-enabled biometric identification technologies is facial recognition. The South African Department of Home Affairs, on the other hand, only has facial pictures of 85% of the population. As a result, relying solely on facial recognition for eKYC/onboarding clients would eliminate a significant portion of the population.

Russia- Ukraine War Impact

The war has raised security worries, especially in Eastern Europe. Countries in the region have prioritized border security to monitor and regulate the transit of individuals and potential threats. Face recognition, iris scanning and detection of fingerprints are some of the AI-enabled biometric technologies that are increasingly being used for border control and identity verification. There is an increasing demand for safe identification solutions in conflict zones and locations with high security concerns.

AI-enabled biometrics provide strong authentication solutions that can be used to validate identities in sensitive and high-risk contexts such as military and law enforcement activities. Biometric is being used for identification and tracking in security and military activities in war zones. Integration of biometric technologies has become essential for military and security strategies.

By Modalities

• Face Recognition
• Fingerprint Recognition
• Iris Recognition
• Voice Recognition
• Others

By End-User

• Mobile Biometrics and Smart Devices
• Biometric Access Control Systems
• Identity Verification and Authentication
• Surveillance and Security
• Others

By Application

• Government
• Defense
• BFSI
• Home Security
• Healthcare
• Others

By Region

• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Russia
  • Rest of Europe
• South America
  • Brazil
  • Argentina
  • Rest of South America
• Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • Rest of Asia-Pacific
• Middle East and Africa

Key Developments

• On August 2021, Synaptics Incorporated, a publicly traded San Jose, California-based provider of human interface hardware and software, completed the acquisition of DSP Group, Inc. for US$ 450 million. The company expects the acquisition to add additional speech and wireless capabilities to its IoT product range. According to Synaptics officials, the company's edge AI platform has been designed for on-device voice and face biometrics and the addition of ultra-low power networking capabilities will make those products more appealing to clients in security and other sectors.
• In July 2022, Secunet, a security and biometrics corporation based in Germany, revealed plans to equip Zurich Airport through its technology in order to make it compatible with the European Entry/Exit System (EES). Third-country nationals will be must register with a facial image and four fingerprints in order to pass the Schengen area's land, sea and air borders under the EES plan.
• On November 2022, Synaptics, a maker of interface hardware, has announced the acquisition of Emza Visual Sense, an AI visual sensing vendor. Himax Technologies, a Taiwan-based fabless chipmaker, purchased Emza. Emza's face detection software detects whether or not a face is gazing at a sensor. It can save energy by dimming a display, identify when a second face appears and obscure material to ensure security.

Why Purchase the Report?

• To visualize the global AI-enabled biometrics market segmentation based on modalities, end-user, application and region, as well as understand key commercial assets and players.
• Identify commercial opportunities by analyzing trends and co-development.
• Excel data sheet with numerous data points of AI-enabled biometrics market-level with all segments.
• PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
• Product mapping available as excel consisting of key products of all the major players.

The global AI-enabled biometrics market report would provide approximately 61 tables, 65 figures and 202 pages.

Target Audience 2023

• Manufacturers/ Buyers
• Industry Investors/Investment Bankers
• Research Professionals
• Emerging Companies

Table of Contents

1. Methodology and Scope

• 1.1. Research Methodology
• 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

• 3.1. Snippet by Modalities
• 3.2. Snippet by End-User
• 3.3. Snippet by Application
• 3.4. Snippet by Region

4. Dynamics

• 4.1. Impacting Factors
  • 4.1.1. Drivers
    • 4.1.1.1. Rising AI-based Security
    • 4.1.1.2. Rising Behavioral Biometrics
  • 4.1.2. Restraints
    • 4.1.2.1. Growing Cyberattacks
  • 4.1.3. Opportunity
  • 4.1.4. Impact Analysis

5. Industry Analysis

• 5.1. Porter's Five Force Analysis
• 5.2. Supply Chain Analysis
• 5.3. Pricing Analysis
• 5.4. Regulatory Analysis
• 5.5. Russia-Ukraine War Impact Analysis
• 5.6. DMI Opinion

6. COVID-19 Analysis

• 6.1. Analysis of COVID-19
  • 6.1.1. Scenario Before COVID
  • 6.1.2. Scenario During COVID
  • 6.1.3. Scenario Post COVID
• 6.2. Pricing Dynamics Amid COVID-19
• 6.3. Demand-Supply Spectrum
• 6.4. Government Initiatives Related to the Market During Pandemic
• 6.5. Manufacturers Strategic Initiatives
• 6.6. Conclusion

7. By Modalities

• 7.1. Introduction
  • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Modalities
  • 7.1.2. Market Attractiveness Index, By Modalities
• 7.2. Face Recognition*
  • 7.2.1. Introduction
  • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 7.3. Fingerprint Recognition
• 7.4. Iris Recognition
• 7.5. Voice Recognition
• 7.6. Others

8. By End-User

• 8.1. Introduction
  • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 8.1.2. Market Attractiveness Index, By End-User
• 8.2. Mobile Biometrics and Smart Devices*
  • 8.2.1. Introduction
  • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 8.3. Biometric Access Control Systems
• 8.4. Identity Verification and Authentication
• 8.5. Surveillance and Security
• 8.6. Others

9. By Application

• 9.1. Introduction
  • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 9.1.2. Market Attractiveness Index, By Application
• 9.2. Government*
  • 9.2.1. Introduction
  • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 9.3. Defense
• 9.4. BFSI
• 9.5. Home Security
• 9.6. Healthcare
• 9.7. Others

10. By Region

• 10.1. Introduction
  • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
  • 10.1.2. Market Attractiveness Index, By Region
• 10.2. North America
  • 10.2.1. Introduction
  • 10.2.2. Key Region-Specific Dynamics
  • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Modalities
  • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.2.6.1. U.S.
    • 10.2.6.2. Canada
    • 10.2.6.3. Mexico
• 10.3. Europe
  • 10.3.1. Introduction
  • 10.3.2. Key Region-Specific Dynamics
  • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Modalities
  • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.3.6.1. Germany
    • 10.3.6.2. UK
    • 10.3.6.3. France
    • 10.3.6.4. Italy
    • 10.3.6.5. Russia
    • 10.3.6.6. Rest of Europe
• 10.4. South America
  • 10.4.1. Introduction
  • 10.4.2. Key Region-Specific Dynamics
  • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Modalities
  • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.4.6.1. Brazil
    • 10.4.6.2. Argentina
    • 10.4.6.3. Rest of South America
• 10.5. Asia-Pacific
  • 10.5.1. Introduction
  • 10.5.2. Key Region-Specific Dynamics
  • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Modalities
  • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 10.5.6.1. China
    • 10.5.6.2. India
    • 10.5.6.3. Japan
    • 10.5.6.4. Australia
    • 10.5.6.5. Rest of Asia-Pacific
• 10.6. Middle East and Africa
  • 10.6.1. Introduction
  • 10.6.2. Key Region-Specific Dynamics
  • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Modalities
  • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

11. Competitive Landscape

• 11.1. Competitive Scenario
• 11.2. Market Positioning/Share Analysis
• 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

• 12.1. IDEMIA*
  • 12.1.1. Company Overview
  • 12.1.2. Product Portfolio and Description
  • 12.1.3. Financial Overview
  • 12.1.4. Key Developments
• 12.2. NEC Corporation
• 12.3. Fujitsu Ltd.
• 12.4. Facephi Biometria, S.A.
• 12.5. Thales Group
• 12.6. Leidos Holdings, Inc.
• 12.7. Fingerprint Cards AB
• 12.8. Nuance Communications
• 12.9. Aware Inc.
• 12.10. Veridium

LIST NOT EXHAUSTIVE

13. Appendix

• 13.1. About Us and Services
• 13.2. Contact Us