Market Overview:
The global multi-modal biometric market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The increasing demand for security and safety measures, rising adoption of biometric technology in various applications, and growing need for convenience are some of the major factors driving the growth of this market. Based on type, fingerprint recognition is expected to hold the largest share of the global multi-modal biometric market in 2018. This segment is also projected to grow at a high CAGR during the forecast period owing to its widespread use across various industries such as automotive, electronics, commercial, and others. Facial recognition is another key segment of this market and is projected to grow at a high rate during the forecast period due its growing use in law enforcement agencies and other government organizations for identity verification purposes.
Product Definition:
Multi-modal biometric systems use two or more different biometric modalities to uniquely identify an individual. The different modalities can be used separately, or in combination with each other, to improve the accuracy of the system. Multi-modal biometric systems are becoming increasingly common as they provide improved accuracy over single modality systems.
Fingerprint Recognition:
Fingerprint recognition is a biometric identification procedure, which is used to verify the identity of an individual by capturing and scanning their fingerprints. The technology provides high accuracy and speed for verification purposes. It has gained popularity as a fast and accurate way for identifying individuals during the last decade.
Facial Recognition:
Facial recognition is the technology that enables a computer to identify and verify the identity of an individual based on their facial features. It uses a digital image of an individual's face as a reference. The identification process is carried out by comparing features between the image provided by the user and those stored in databases.
The multi-modal biometric market has Facial Recognition Technology (FRT) integrated with it, which provides high accuracy, speed,.
Application Insights:
The global multi-modal biometric market has been segmented on the basis of application into automotive, electronics, machinery, commercial and others. The other applications include healthcare, government and military. The commercial segment held the largest share in 2017 due to increasing adoption of biometric authentication solutions by banks and financial institutions for fraud prevention purposes.
The use of vein recognition as an alternative to passwords is gaining popularity since it is more secure than traditional methods such as logins and passcodes. Vein scanning devices are used at security checkpoints for identification purposes in order to prevent identity theft or frauds during transactions involving large amounts. Such factors are expected to drive the demand over the forecast period thereby contributing towards overall growth across all segments globally.
Regional Analysis:
The market in Asia Pacific is expected to grow at a significant rate over the forecast period. The growth can be attributed to increasing government initiatives and investments for the development of biometric systems across various applications. For instance, in India, the Unique Identification (UID) project aims at developing a robust identification system based on biometrics that would provide a new identity to its citizens. Under this project, UIDAI has introduced several technologies such as face recognition and voice recognition for authentication purposes.
Europe was estimated as one of the largest markets in 2016 owing to high demand from various application industries such as banking & financial services, telecom & IT services sectors.
Growth Factors:
- Increasing demand for biometric authentication in government and defense sector
- Rising use of biometrics in banking and financial services
- Proliferation of connected devices and the Internet of Things (IoT)
- Growing demand for multi-modal biometric solutions in healthcare sector
- Increasing adoption of biometrics by law enforcement agencies
Scope Of The Report
Report Attributes
Report Details
Report Title
Multi-modal Biometric Market Research Report
By Type
Fingerprint Recognition, Facial Recognition, Iris Recognition, Voice Recognition, Vein Recognition
By Application
Automotive, Electronics, Machinery, Commercial, Others
By Companies
BioID, IriTech, M2SYS, NEC, Safran, M Cogent, G Identity Solutions, Crossmatch, Fujitsu, ImageWare Systems, BioID, ZKTeco
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
191
Number of Tables & Figures
134
Customization Available
Yes, the report can be customized as per your need.
Global Multi-modal Biometric Market Report Segments:
The global Multi-modal Biometric market is segmented on the basis of:
Types
Fingerprint Recognition, Facial Recognition, Iris Recognition, Voice Recognition, Vein Recognition
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Automotive, Electronics, Machinery, Commercial, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- BioID
- IriTech
- M2SYS
- NEC
- Safran
- M Cogent
- G Identity Solutions
- Crossmatch
- Fujitsu
- ImageWare Systems
- BioID
- ZKTeco
Highlights of The Multi-modal Biometric Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Fingerprint Recognition
- Facial Recognition
- Iris Recognition
- Voice Recognition
- Vein Recognition
- By Application:
- Automotive
- Electronics
- Machinery
- Commercial
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Multi-modal Biometric Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Multi-modal biometric is a term used to describe the use of more than one type of biometric data to authenticate someone. Multi-modal biometrics can include, but are not limited to, facial recognition, fingerprint scanning, and iris scanning.
Some of the major companies in the multi-modal biometric market are BioID, IriTech, M2SYS, NEC, Safran, M Cogent, G Identity Solutions, Crossmatch, Fujitsu, ImageWare Systems, BioID, ZKTeco.
The multi-modal biometric market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Multi-modal Biometric Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Multi-modal Biometric Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Multi-modal Biometric Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Multi-modal Biometric Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Multi-modal Biometric Market Size & Forecast, 2020-2028
4.5.1 Multi-modal Biometric Market Size and Y-o-Y Growth
4.5.2 Multi-modal Biometric Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Fingerprint Recognition
5.2.2 Facial Recognition
5.2.3 Iris Recognition
5.2.4 Voice Recognition
5.2.5 Vein Recognition
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Automotive
6.2.2 Electronics
6.2.3 Machinery
6.2.4 Commercial
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Multi-modal Biometric Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Multi-modal Biometric Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Fingerprint Recognition
9.6.2 Facial Recognition
9.6.3 Iris Recognition
9.6.4 Voice Recognition
9.6.5 Vein Recognition
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Automotive
9.10.2 Electronics
9.10.3 Machinery
9.10.4 Commercial
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Fingerprint Recognition
10.6.2 Facial Recognition
10.6.3 Iris Recognition
10.6.4 Voice Recognition
10.6.5 Vein Recognition
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Automotive
10.10.2 Electronics
10.10.3 Machinery
10.10.4 Commercial
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Fingerprint Recognition
11.6.2 Facial Recognition
11.6.3 Iris Recognition
11.6.4 Voice Recognition
11.6.5 Vein Recognition
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Automotive
11.10.2 Electronics
11.10.3 Machinery
11.10.4 Commercial
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Fingerprint Recognition
12.6.2 Facial Recognition
12.6.3 Iris Recognition
12.6.4 Voice Recognition
12.6.5 Vein Recognition
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Automotive
12.10.2 Electronics
12.10.3 Machinery
12.10.4 Commercial
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Fingerprint Recognition
13.6.2 Facial Recognition
13.6.3 Iris Recognition
13.6.4 Voice Recognition
13.6.5 Vein Recognition
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Automotive
13.10.2 Electronics
13.10.3 Machinery
13.10.4 Commercial
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Multi-modal Biometric Market: Competitive Dashboard
14.2 Global Multi-modal Biometric Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 BioID
14.3.2 IriTech
14.3.3 M2SYS
14.3.4 NEC
14.3.5 Safran
14.3.6 M Cogent
14.3.7 G Identity Solutions
14.3.8 Crossmatch
14.3.9 Fujitsu
14.3.10 ImageWare Systems
14.3.11 BioID
14.3.12 ZKTeco
