Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Fingerprint Identification Module Market by Type (Single Modal AFIS, Multi Modal AFIS), By Application (Electronics, Military and Defense, BFSI, Judicial, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Fingerprint Identification Module Market by Type (Single Modal AFIS, Multi Modal AFIS), By Application (Electronics, Military and Defense, BFSI, Judicial, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 307259 4200 Electronics & Semiconductor 377 177 Pages 4.7 (34)
                                          

Market Overview:


The global fingerprint identification module market is expected to grow at a CAGR of 10.8% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for fingerprint identification modules in various applications such as electronics, military and defense, BFSI, judicial, and others. In addition, the growing adoption of biometric authentication by various organizations is also contributing to the growth of this market.


Global Fingerprint Identification Module Industry Outlook


Product Definition:


A fingerprint identification module is a software or hardware component that enables an electronic device to identify individuals by their fingerprints. This can be used for security purposes, such as logging into a computer or unlocking a smartphone, or for identifying someone during a criminal investigation.


Single Modal AFIS:


Single Modal AFIS (SIMAFIS) is a biometric technology that offers high accuracy and reliability in the verification of an individual. It provides features such as high speed, ease of use, and recognition accuracy which are not available in other biometric technologies. The technology uses one set of equipment to scan fingerprint patterns from any surface such as a phone or tablet along with the ability to recognize images & textured surfaces which increases its adoption rate among consumers.


Multi Modal AFIS:


Multi modal AFIS is an integrated system that combines Optical Character Recognition (OCR), Image Processing, and Fingerprint Identification Technology. It helps in identification of individuals by combining biometric data from different sources such as fingerprint, face recognition, iris recognition and DNA sample. The technology provides high accuracy in identification of individuals compared to traditional methods such as searching a name or ID number on a card.


Application Insights:


The application segment is segregated into seven categories that include electronics, military and defense, BFSI, judicial, other applications including government and public sector organizations, healthcare and pharmaceuticals. The electronics segment accounted for the largest market share in 2017 owing to the increasing use of finger print identification modules in smartphones. These devices are also used in laptops and various other electronic devices for authentication purposes thereby boosting product demand.


The military & defense application segment is expected to register a CAGR of XX% from 2018 to 2030 on account of growing concerns regarding data security among governments across the world. Furthermore, AFIS technology has numerous applications such as access control systems at airports which are expected to propel industry growth over the forecast period.


Regional Analysis:


North America dominated the global market in 2017. The region is expected to continue its dominance over the forecast period as well, owing to technological advancements and high adoption of biometric technologies across various sectors. Europe accounted for a significant share of revenue in 2017 and is expected to grow at a lucrative rate over the forecast period due to increasing investments by governments in fingerprint recognition technology coupled with growing demand from law enforcement agencies for criminal identification. Asia Pacific market was valued at USD X million in 2017 and is anticipated to witness exponential growth during the forecast period owing to rising government initiatives towards implementation of biometric solutions across several departments such as justice, defense, passport control, among others.


Growth Factors:


  • Increasing demand for security and safety measures in various industries
  • Growing awareness about the benefits of fingerprint identification module
  • Proliferation of connected devices and the Internet of Things (IoT)
  • Rising number of cyber-attacks and data breaches
  • Advances in biometric technology

Scope Of The Report

Report Attributes

Report Details

Report Title

Fingerprint Identification Module Market Research Report

By Type

Single Modal AFIS, Multi Modal AFIS

By Application

Electronics, Military and Defense, BFSI, Judicial, Others

By Companies

NEC, IDEMIA, Gemalto Cogent, Suprema, Dermalog, HID Global, Fujitsu, Crossmatch, M2sys, Afix Technologies, NEC, PU HIGH-TECH

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

177

Number of Tables & Figures

124

Customization Available

Yes, the report can be customized as per your need.


Global Fingerprint Identification Module Market Report Segments:

The global Fingerprint Identification Module market is segmented on the basis of:

Types

Single Modal AFIS, Multi Modal AFIS

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

Electronics, Military and Defense, BFSI, Judicial, 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:

  1. NEC
  2. IDEMIA
  3. Gemalto Cogent
  4. Suprema
  5. Dermalog
  6. HID Global
  7. Fujitsu
  8. Crossmatch
  9. M2sys
  10. Afix Technologies
  11. NEC
  12. PU HIGH-TECH

Global Fingerprint Identification Module Market Overview


Highlights of The Fingerprint Identification Module Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Single Modal AFIS
    2. Multi Modal AFIS
  1. By Application:

    1. Electronics
    2. Military and Defense
    3. BFSI
    4. Judicial
    5. Others
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Fingerprint Identification Module 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.

How you may use our products:

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Global Fingerprint Identification Module Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


A fingerprint identification module (FIM) is a device that uses fingerprints to identify individuals.

Some of the major companies in the fingerprint identification module market are NEC, IDEMIA, Gemalto Cogent, Suprema, Dermalog, HID Global, Fujitsu, Crossmatch, M2sys, Afix Technologies, NEC, PU HIGH-TECH.

The fingerprint identification module market is expected to register a CAGR of 10.8%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Fingerprint Identification Module 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 Fingerprint Identification Module Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Fingerprint Identification Module 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 Fingerprint Identification Module 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 Fingerprint Identification Module Market Size & Forecast, 2020-2028       4.5.1 Fingerprint Identification Module Market Size and Y-o-Y Growth       4.5.2 Fingerprint Identification Module 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 Single Modal AFIS
      5.2.2 Multi Modal AFIS
   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 Electronics
      6.2.2 Military and Defense
      6.2.3 BFSI
      6.2.4 Judicial
      6.2.5 Others
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Fingerprint Identification Module 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 Fingerprint Identification Module 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 Single Modal AFIS
      9.6.2 Multi Modal AFIS
   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 Electronics
      9.10.2 Military and Defense
      9.10.3 BFSI
      9.10.4 Judicial
      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 Single Modal AFIS
      10.6.2 Multi Modal AFIS
   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 Electronics
      10.10.2 Military and Defense
      10.10.3 BFSI
      10.10.4 Judicial
      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 Single Modal AFIS
      11.6.2 Multi Modal AFIS
   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 Electronics
      11.10.2 Military and Defense
      11.10.3 BFSI
      11.10.4 Judicial
      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 Single Modal AFIS
      12.6.2 Multi Modal AFIS
   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 Electronics
      12.10.2 Military and Defense
      12.10.3 BFSI
      12.10.4 Judicial
      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 Single Modal AFIS
      13.6.2 Multi Modal AFIS
   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 Electronics
      13.10.2 Military and Defense
      13.10.3 BFSI
      13.10.4 Judicial
      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 Fingerprint Identification Module Market: Competitive Dashboard
   14.2 Global Fingerprint Identification Module Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 NEC
      14.3.2 IDEMIA
      14.3.3 Gemalto Cogent
      14.3.4 Suprema
      14.3.5 Dermalog
      14.3.6 HID Global
      14.3.7 Fujitsu
      14.3.8 Crossmatch
      14.3.9 M2sys
      14.3.10 Afix Technologies
      14.3.11 NEC
      14.3.12 PU HIGH-TECH

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