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表紙：AI対応バイオメトリクスの世界市場：2023年～2030年
市場調査レポート
商品コード
1382538

AI対応バイオメトリクスの世界市場：2023年～2030年

Global AI-enabled Biometric Market - 2023-2030

出版日
ページ情報
英文 202 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.82円
AI対応バイオメトリクスの世界市場：2023年～2030年
出版日: 2023年11月17日
発行: DataM Intelligence
ページ情報: 英文 202 Pages
納期: 即日から翌営業日
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概要

概要

AI対応バイオメトリクスの世界市場は2022年に127億米ドルとなり、2023年～2030年の予測期間中にCAGR16.5%で成長し、2030年までに361億米ドルに達すると予測されます。

人々のデジタル利用は、サイバー攻撃の増加により、オンライン活動のセキュリティとプライバシーに対する信頼を失い始め、不快なものとなっています。AIは、さらなる安全性を提供することで、このような経験を向上させます。行動バイオメトリクス、手のひら静脈バイオメトリクス、AI搭載バイオメトリクスなどの高度なバイオメトリクス技術は、ハイエンドの設備がより高い精度とより速い反応時間を必要としているため、人気が高まっています。

中国の複数の政府機関が監視技術を導入している結果、中国は顔認識技術の主要な購入国および輸出国の1つとなっています。同国は現在、最も広範な公共監視システムを誇っています。消費者向けウェブサイトのComparitechによると、中国は世界のカメラの54％、5億4,000万台のCCTVカメラを占めています。

予測期間中、北米は世界のAI対応バイオメトリクス市場の約1/3を占める支配的な地域になると予想されています。このような技術の急速な拡大には、政府の施策が大きく貢献すると予想されます。例えば、米国政府は、顔認証を使用して旅行者を登録・識別することで、空港のセキュリティを再定義しようとしています。さらに、北米自由貿易協定（NAFTA）加盟銀行のいくつかは、オンライン本人確認に顔認識および音声認識技術を使用することを要件としています。

ダイナミクス

AIベースのセキュリティの台頭

何年もの間、バイオメトリクス認証技術は重要なビジネス展開となっており、特に2021年は市場で最新のAIイノベーションに注目が集まっています。IBMによると、侵害された認証情報は侵害の20％を引き起こしており、さらに悪いことに、データ漏洩の検知と対応には平均287日かかります。AIベースのセキュリティは普及しつつあり、どのようなビジネスにおいても競争力を維持するために必要となると思われます。

IBMによると、2021年までに企業の25％がAIベースのセキュリティ導入を完了し、40％は部分的に導入されます。残りの35％はこの手順に着手しておらず、貴社がこのグループに属する場合、顧客は危険なデータ漏洩のリスクにさらされる可能性があります。2021年、AIベースのセキュリティに投資することで、企業は最大381万米ドルを節約できました。さらに、IBMの調査は、AIセキュリティプラットフォームを適切に使用することで、企業のコストが抑えられることを示しています。

高まる行動バイオメトリクス

行動バイオメトリクス技術は、人工知能が可能にする最も興味深い動向の1つです。これは、ユーザーが気づいていないかもしれない、世界とどのように相互作用するかという明確な行動的側面を採用しています。これは、企てられた深層偽装詐欺に対する最も効果的な防御線のひとつです。

行動バイオメトリクスに基づくボット検知システムBeCAPTCHAは、マドリード自治大学のバイオメトリクス・データパターン分析ラボによって作られました。行動バイオメトリクスがユーザーに知られることなく利用され、CAPTCHAのようにユーザーの人間性を試す厄介なテストが不要になることは、確かにもっともなことです。

重要なのは、行動バイオメトリクスがセッション中のセキュリティ確保に役立つことです。例えば、ユーザーが自分自身を認証した後に退室し、不注意で無許可のユーザーにコンピューターへのアクセスを許してしまった場合、これは深刻なセキュリティ上の懸念となります。しかし、行動バイオメトリクスは、セカンドユーザーの一貫性のない行動を検出し、動的にアクセスを制限することができるため、AI対応バイオメトリクスの需要に拍車をかけています。

拡大するサイバー攻撃

AI対応バイオメトリクスシステムは必ずしも完全に正確であるとは限らず、その性能は照明、環境ノイズ、ユーザー属性の違いなどの要因によって影響を受ける可能性があります。偽陽性や偽陰性は厄介なものです。機械学習やAIのスキルが日常生活に浸透するにつれて、サイバー犯罪者は攻撃の目的を明確にする点でも、利用する技術ツールの点でも、より巧妙になってきています。

AIによって窃盗犯のアプローチが改善されたため、彼らは日常的にシステムを冷酷かつ一貫して攻撃し、弱点に焦点を当てています。Deepfakeは、AIベースのサイバー攻撃の一例であり、被害者の顔の特徴を模倣することで本人確認システムを侵害するために使用されます。その結果、このような複合的な脅威の開発はますます進むと思われます。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • AIベースのセキュリティの台頭
      • 行動バイオメトリクスの台頭
    • 抑制要因
      • サイバー攻撃の増加
    • 機会
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMI意見

第6章 COVID-19分析

第7章 モダリティ別

  • 顔認証
  • 指紋認識
  • 虹彩認識
  • 音声認識
  • その他

第8章 エンドユーザー別

  • モバイル生体認証とスマートデバイス
  • 生体認証アクセス制御システム
  • 本人確認と認証
  • 監視とセキュリティ
  • その他

第9章 用途別

  • 政府機関
  • 防衛
  • BFSI
  • ホームセキュリティ
  • ヘルスケア
  • その他

第10章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • ロシア
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋地域
  • 中東・アフリカ

第11章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第12章 企業プロファイル

  • IDEMIA
    • 会社概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な発展
  • NEC Corporation
  • Fujitsu Ltd.
  • Facephi Biometria, S.A.
  • Thales Group
  • Leidos Holdings, Inc.
  • Fingerprint Cards AB
  • Nuance Communications
  • Aware Inc.
  • Veridium

第13章 付録

目次
Product Code: ICT7461

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