Global Biometrics-as-a-Service (BaaS) Market - 2023-2030

Global Biometrics-as-a-Service (BaaS) Market - 2023-2030


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

The 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


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

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