全球生物辨識即服務 (BaaS) 市場 - 2023-2030

概述

全球生物辨識即服務 (BaaS) 市場將於 2022 年達到 15 億美元，預計到 2030 年將達到 43 億美元，2023-2030 年預測期間CAGR為 19.4%。

恐怖行動數量的增加以及關鍵資料和資訊被盜的增加預計將快速推動全球生物識別需求，引發人們對國家安全的擔憂。行動裝置的使用不斷增加、政府資料安全法規以及醫療保健產業對有效詐欺偵測和預防解決方案的需求是推動醫療保健市場生物辨識即服務的主要因素。

醫療保健專業人員處理各種個人資料，包括敏感的健康資訊、保險、財務資料和個人識別資訊。這是醫療保健資訊受到醫療保險流通和責任法案 (HIPAA) 規定的嚴格管理標準的原因之一。因此，保護敏感資訊並確保醫療保健專業人員與適當的人員共享或討論這些資訊非常重要。

到 2022 年，亞太地區預計將成為成長最快的地區，佔全球生物辨識即服務 (BaaS) 市場的佔有率不到 1/4。恐怖威脅的增加和政府安全支出的增加是推動亞太地區門禁系統銷售的兩個關鍵因素。此外，中國不斷成長的經濟對安全解決方案產生了很高的需求。政府對國民身分證、電子護照和連網設備等生物辨識項目的投資預計將對市場成長產生影響。

動力學

生物辨識技術與雲端的日益融合

將生物辨識技術與雲端連接起來是目前供應商關注的重點領域，它使得雲端增強的功能和技術能夠被服務提供者的整個生物辨識基礎設施所吸收。例如，SkyBiometry 於 2019 年 7 月更新了其基於雲端的人臉檢測和識別演算法的最新版本，取得了重大進展，使演算法更加準確，並能夠檢測更廣泛的臉部特徵。

富士通也與 ImageWare Systems (IWS) 合作提供生物辨識即服務解決方案。透過將富士通的雲端基礎設施即服務（IaaS）和軟體即服務（SaaS）與IWS的生物辨識認證技術結合，企業可以為BYOD工作環境和行動交易的安全性增強服務做好準備。

越來越多的人轉向更多的隱私

企業話語模式向更多隱私和更少安全隱患的轉變是全球產業的主要驅動力之一。最終消費者擴大尋求整合解決方案，而不是依賴舊技術。隨著行動裝置的日益普及，消費者生物辨識應用近年來迅速成長。

由於生物辨識系統的批准，消費性電子產業主要由安全和門禁設備主導。因此，它有助於市場成長。例如，流行的訊息應用程式 WhatsApp 在 Android 平台上新增了新的隱私選項。該公司表示，用戶最終將能夠透過指紋感應器使用生物辨識身份驗證來保護自己的帳戶。

隱私問題和法規

在生物辨識行業中，隱私是一個主要問題。指紋、臉部特徵和其他個人識別碼等生物辨識資訊極為敏感。用戶擔心這些資料被濫用或處理不當，這可能會損害他們的隱私。各種生物辨識系統和技術之間的不相容性阻礙了 BaaS 的採用。

如果企業擔心與現有系統互動的能力，他們會猶豫是否採用 BaaS 解決方案，這可能會導致額外的費用和複雜性。歐盟《一般資料保護規範》(GDPR) 等嚴格的資料保護立法以及其他國家/地區的類似法律的實施對組織提出了要求，以確保負責任地使用和儲存生物識別資料。法規遵從性增加了 BaaS 系統的複雜性和成本。

目錄

第 1 章：方法與範圍

• 研究方法論
• 報告的研究目的和範圍

第 2 章：定義與概述

第 3 章：執行摘要

• 按模態分類的片段
• 技術片段
• 按企業規模分類的片段
• 按部署模式分類的片段
• 最終使用者的片段
• 按地區分類的片段

第 4 章：動力學

• 影響因素
  • 促進要素
    • 生物辨識技術與雲端的日益融合
    • 越來越多的人轉向更多的隱私
  • 限制
    • 隱私問題和法規
  • 機會
  • 影響分析

第 5 章：產業分析

• 波特五力分析
• 供應鏈分析
• 定價分析
• 監管分析
• 俄烏戰爭影響分析
• DMI 意見

第 6 章：COVID-19 分析

• COVID-19 分析
  • 新冠疫情爆發前的情景
  • 新冠疫情期間的情景
  • 新冠疫情後的情景
• COVID-19 期間的定價動態
• 供需譜
• 疫情期間政府與市場相關的舉措
• 製造商策略舉措
• 結論

第 7 章：按形態

• 單峰
• 多式聯運

第 8 章：按技術

• 指紋辨識
• 語音辨識
• 簽名識別
• 虹膜識別
• 掌/手識別
• 人臉辨識
• 行為識別
• 其他

第 9 章：按企業規模

• 中小企業
• 大型企業

第 10 章：按部署模式

• 本地部署
• 基於雲端

第 11 章：最終用戶

• 零售
• 醫療保健和生命科學
• BFSI
• 電信和資訊技術
• 防禦
• 政府
• 其他

第 12 章：按地區

• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 俄羅斯
  • 歐洲其他地區
• 南美洲
  • 巴西
  • 阿根廷
  • 南美洲其他地區
• 亞太
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 亞太其他地區
• 中東和非洲

第13章：競爭格局

• 競爭場景
• 市場定位/佔有率分析
• 併購分析

第 14 章：公司簡介

• Accenture PLC
• 公司簡介
• 產品組合和描述
• 財務概覽
• 主要進展
• Aware Inc.
• BioEnable Technologies Pvt. Ltd
• BioID Technology
• Fujitsu Limited
• Nuance Communications Inc.
• Precise Biometrics AB
• SIC Biometrics, Inc.
• NEC Corp.
• ImageWare Systems Inc.

第 15 章：附錄

Overview

Global Biometrics-as-a-Service (BaaS) Market reached US$ 1.5 billion in 2022 and is expected to reach US$ 4.3 billion by 2030, growing with a CAGR of 19.4% during the forecast period 2023-2030.

The increasing number of terrorist operations and growing theft of critical data and information, is expected to drive the global biometrics demand at a rapid pace, raising concerns about national security. The rising use of mobile devices, government data-security regulations and the demand for effective fraud detection and prevention solutions in the healthcare sector are the primary factors driving biometrics as a service in the healthcare market.

Healthcare professionals handle a variety of personal data, including sensitive health information, insurance, financial data and personal identifying information. Its is one of the reasons why healthcare information is subject to the stringent administrative standards imposed by the Healthcare Insurance Portability and Accountability Act (HIPAA). As a result, it is important to secure sensitive information and ensure that healthcare professionals are sharing or discussing it with the appropriate person.

In 2022, Asia-Pacific is expected to be the fastest growing region having less than 1/4th of the global biometrics-as-a-service (BaaS) market. Increased terrorist threats and rising government security spending are the two key factors driving access control system sales in Asia-Pacific. Furthermore, China's growing economy creates a high demand for security solutions. Government investments in biometric projects such as national ID cards, e-passports and connected gadgets are expected to have an impact on market growth.

Dynamics

Growing Integrating of Biometrics with Cloud

Connecting biometrics with the cloud, which is now the key focus area for suppliers, allows cloud-enhanced capabilities and technologies to be absorbed on a service provider's whole biometrics infrastructure. SkyBiometry, for example, updated the latest version of its cloud-based face detection and recognition algorithm in July 2019 with major advancements that make the algorithm considerably more accurate and enable for a broader variety of facial traits to be detected.

Fujitsu also collaborated with ImageWare Systems (IWS) to offer Biometric-as-a-Service solutions. Enterprises can be prepared for a BYOD working environment and security-enhanced services for mobile transactions by combining Fujitsu's cloud Infrastructure-as-a-Service (IaaS) and Software-as-a-Service (SaaS) with IWS' biometrics authentication technology.

Growing Shift Towards More Privacy

A model shift in corporate discourse towards more privacy and fewer security hazards is one of the primary drivers of the global industry. End consumers are increasingly seeking integrated solutions instead of relying on old techniques. With the rising popularity of mobile devices, consumer biometric applications have grown quickly in recent years.

Due to the approval of biometric systems, the consumer electronics sector is dominated primarily by security and access control devices. As a result, it contributes to market growth. For example, WhatsApp, a popular messaging app, has added a new privacy option to the Android platform. Users will ultimately be able to safeguard their accounts using biometric authentication via fingerprint sensors, according to the company.

Privacy Concerns and Regulations

In the biometrics industry, privacy is a major problem. Biometric information like fingerprints, facial features and other personal identifiers, is extremely sensitive. Users are concerned regarding the misuse or mishandling of this data, which could hamper their privacy. Incompatibility between various biometric systems and technologies hinder the BaaS adoption.

Businesses will be hesitant to engage in BaaS solutions if they are concerned about the ability to interact with existing systems, which could result in additional expenses and complexity. The implementation of severe data protection legislation like the General Data Protection Regulation (GDPR) of the European Union and comparable laws in other countries, imposes requirements on organisations to ensure the responsible use and storage of biometric data. Regulation compliance increases the complexity and cost of BaaS systems.

Segment Analysis

The global biometrics-as-a-service (BaaS) market is segmented based on modality, technology, enterprise size, deployment mode, end-user and region.

Rising Adoption of Security in Retail Sector

Retail is expected to be the dominant segment with about 1/3rd of the market during the forecast period 2023-2030. Biometrics applications in the retail business are mostly for staff access control, which may help shops reduce inventory theft. With e-commerce gaining a customer experience advantage over brick and mortar businesses, retailers are adopting marketing, data and analytics solutions to improve the consumer experience.

Biometrics is also being used to improve customer experience as well as to measure and maximise retail information for both retailers and major consumer brands. In July 2019, Kairos, for example, announced a plug-and-play data visualisation and analytics solution, complete with biometric facial recognition, for retail businesses to acquire demographic and tracking information about customers. The system collects information about the customer's age, gender, emotion, dwell time and new and repeat visits.

Geographical Penetration

Rising Adoption of Technology and Awareness of Security in North America

North America is among the growing regions in the global biometrics-as-a-service (BaaS) market covering more than 1/3rd of the market. In accordance to the Federal Trade Commission, identity theft in the payment and banking sectors is common in U.S. As a result, enhanced authentication systems such as biometrics would see increased popularity. Government entities in U.S. are also implementing biometric technologies for identification and security purposes.

During the epidemic, the use of facial recognition biometrics and personal data security remains a major concern. According to a recent presentation from the agency's Office of Procurement Operations obtained by Quartz, U.S. Department of Homeland Security (DHS) plans to have face, fingerprint and iris scans of at least 259 million people in its biometrics database by 2022.

In addition, Cognizant, based in U.S., will deliver touchless authorization processing for healthcare service providers in 2020, while Infosys will launch contact-less baggage management services for a North American airline. Many residents in U.S. are still hesitant to use facial recognition technology, which is projected to drive the region's biometrics-as-a-service business.

Competitive Landscape

major global players in the market include: Accenture PLC, Aware Inc., BioEnable Technologies Pvt. Ltd, BioID Technology, Fujitsu Limited, Nuance Communications Inc., Precise Biometrics AB, SIC Biometrics, Inc., NEC Corp. and ImageWare Systems Inc.

COVID-19 Impact Analysis

Travel restrictions, business closures and decreased demand for various services all had an impact on the installation of biometric technologies, that are commonly used for control of access and identity verification. Due to concerns about virus transmission, biometric systems that rely on contact, such as fingerprint and palm print scanners, have experienced hurdles.

Many businesses began to examine contactless biometrics such as face recognition or iris scanning as safer alternatives. Many industries' digital transformation activities were expedited as a result of the epidemic. The growing interest in BaaS solutions for both security and customer convenience. Biometrics have been investigated by industries such as healthcare and finance in order to streamline processes and improve the user experience.

AI Impact

AI has resulted in numerous improvements and developments in biometric technology, making BaaS systems more accurate, safe and versatile. AI has improved biometric system security. It can detect anomalies and strange patterns in biometric data, assisting in the detection of fraudulent attempts like spoofing attacks. It is especially important in applications such as facial recognition and fingerprint recognition.

AI can adjust to changes in a user's biometric features over time, allowing for issues like as ageing, injuries and other variances. The adaptability aids in the long-term maintenance of constant user authentication. The integration of AI has broadened the use cases of BaaS across industries such as finance, healthcare, retail and government.

Russia- Ukraine War Impact

Geopolitical tensions and conflicts can cause economic insecurity and impair global supply systems. If major components for BaaS are obtained from or manufactured in the affected regions, supply chain interruptions may impair the availability and pricing of BaaS solutions. Biometric technology for access control and identity verification are gaining popularity in conflict-affected areas where security is a major concern.

To improve security, governments and organizations in these regions are investing more in BaaS systems. Wider economic consequences of geopolitical crises, such as sanctions, inflation or currency depreciation, might have an indirect impact on business technology investments, including BaaS. Concerns concerning the use of biometric technologies for monitoring and control may develop in conflict zones or places with heightened surveillance. It could lead to increased scrutiny and eventual changes in biometric data and surveillance rules.

By Modality

• Unimodal
• Multimodal

By Technology

• Fingerprint Recognition
• Voice Recognition
• Signature Recognition
• Iris Recognition
• Palm/Hand Recognition
• Face Recognition
• Behavior Recognition
• Others

By Enterprise Size

• Small & Medium Sized Enterprises
• Large Enterprises

By Deployment Mode

• On-Premise
• Cloud-based

By End-User

• Retail
• Healthcare and Life Sciences
• BFSI
• Telecom and IT
• Defense
• Government
• 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

• In April 2020, Fujitsu Frontech North America Inc., a Fujitsu Global subsidiary, completed the acquisition of Fulcrum Biometrics, LLC, a biometric hardware, software and solutions provider based in Texas. The transaction represents the company's significant commitment to strengthening its biometrics business in North America and global identity management markets, mandates imposed by new state and federal laws.
• In January 2020, Thales, a French multinational firm that designs, develops and manufactures electrical systems, powered its Biometric Matching System using groundbreaking Field-Programmable Gate Array (FPGA) technology built for huge parallel data processing. Thales can minimize the number of servers in half and significantly reduce the overall carbon footprint by using Gemalto's commercial off-the-shelf FPGA solution.
• On July 2019, Fujitsu, a Japanese multinational technology and information corporation, has partnered with ImageWare Systems (IWS) to offer Biometric-as-a-Service solutions. Enterprises can be prepared for a BYOD working environment and security-enhanced services for mobile transactions by combining Fujitsu's cloud Infrastructure-as-a-Service (IaaS) and Software-as-a-Service (SaaS) with IWS' biometrics authentication technology.

Why Purchase the Report?

• To visualize the global biometrics-as-a-service (BaaS) market segmentation based on modality, technology, enterprise size, deployment mode, end-user 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 biometrics-as-a-service (BaaS) 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 biometrics-as-a-service (BaaS) market report would provide approximately 77 tables, 83 figures and 204 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 Modality
• 3.2. Snippet by Technology
• 3.3. Snippet by Enterprise Size
• 3.4. Snippet by Deployment Mode
• 3.5. Snippet by End-User
• 3.6. Snippet by Region

4. Dynamics

• 4.1. Impacting Factors
  • 4.1.1. Drivers
    • 4.1.1.1. Growing Integrating of Biometrics with Cloud
    • 4.1.1.2. Growing Shift Towards More Privacy
  • 4.1.2. Restraints
    • 4.1.2.1. Privacy Concerns and Regulations
  • 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 Modality

• 7.1. Introduction
  • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Modality
  • 7.1.2. Market Attractiveness Index, By Modality
• 7.2. Unimodal*
  • 7.2.1. Introduction
  • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 7.3. Multimodal

8. By Technology

• 8.1. Introduction
  • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 8.1.2. Market Attractiveness Index, By Technology
• 8.2. Fingerprint Recognition *
  • 8.2.1. Introduction
  • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 8.3. Voice Recognition
• 8.4. Signature Recognition
• 8.5. Iris Recognition
• 8.6. Palm/Hand Recognition
• 8.7. Face Recognition
• 8.8. Behavior Recognition
• 8.9. Others

9. By Enterprise Size

• 9.1. Introduction
  • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
  • 9.1.2. Market Attractiveness Index, By Enterprise Size
• 9.2. Small & Medium Sized Enterprises*
  • 9.2.1. Introduction
  • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 9.3. Large Enterprises

10. By Deployment Mode

• 10.1. Introduction
  • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  • 10.1.2. Market Attractiveness Index, By Deployment Mode
• 10.2. On-Premise*
  • 10.2.1. Introduction
  • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 10.3. Cloud-based

11. By End-User

• 11.1. Introduction
  • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 11.1.2. Market Attractiveness Index, By End-User
• 11.2. Retail*
  • 11.2.1. Introduction
  • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 11.3. Healthcare and Life Sciences
• 11.4. BFSI
• 11.5. Telecom and IT
• 11.6. Defense
• 11.7. Government
• 11.8. Others

12. By Region

• 12.1. Introduction
  • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
  • 12.1.2. Market Attractiveness Index, By Region
• 12.2. North America
  • 12.2.1. Introduction
  • 12.2.2. Key Region-Specific Dynamics
  • 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Modality
  • 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
  • 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  • 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 12.2.8.1. U.S.
    • 12.2.8.2. Canada
    • 12.2.8.3. Mexico
• 12.3. Europe
  • 12.3.1. Introduction
  • 12.3.2. Key Region-Specific Dynamics
  • 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Modality
  • 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
  • 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  • 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 12.3.8.1. Germany
    • 12.3.8.2. UK
    • 12.3.8.3. France
    • 12.3.8.4. Italy
    • 12.3.8.5. Russia
    • 12.3.8.6. Rest of Europe
• 12.4. South America
  • 12.4.1. Introduction
  • 12.4.2. Key Region-Specific Dynamics
  • 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Modality
  • 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
  • 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  • 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 12.4.8.1. Brazil
    • 12.4.8.2. Argentina
    • 12.4.8.3. Rest of South America
• 12.5. Asia-Pacific
  • 12.5.1. Introduction
  • 12.5.2. Key Region-Specific Dynamics
  • 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Modality
  • 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
  • 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  • 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 12.5.8.1. China
    • 12.5.8.2. India
    • 12.5.8.3. Japan
    • 12.5.8.4. Australia
    • 12.5.8.5. Rest of Asia-Pacific
• 12.6. Middle East and Africa
  • 12.6.1. Introduction
  • 12.6.2. Key Region-Specific Dynamics
  • 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Modality
  • 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
  • 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
  • 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

• 13.1. Competitive Scenario
• 13.2. Market Positioning/Share Analysis
• 13.3. Mergers and Acquisitions Analysis

14. Company Profiles

• 14.1. Accenture PLC*
  • 14.1.1. Company Overview
  • 14.1.2. Product Portfolio and Description
  • 14.1.3. Financial Overview
  • 14.1.4. Key Developments
• 14.2. Aware Inc.
• 14.3. BioEnable Technologies Pvt. Ltd
• 14.4. BioID Technology
• 14.5. Fujitsu Limited
• 14.6. Nuance Communications Inc.
• 14.7. Precise Biometrics AB
• 14.8. SIC Biometrics, Inc.
• 14.9. NEC Corp.
• 14.10. ImageWare Systems Inc.

LIST NOT EXHAUSTIVE

15. Appendix

• 15.1. About Us and Services
• 15.2. Contact Us