Market Overview:
The global mobile phone fingerprint identification market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for smartphones and other mobile devices that are equipped with fingerprint recognition technology. In addition, the growing need for security and safety measures is also contributing to the growth of this market. The global mobile phone fingerprint identification market can be segmented on the basis of type into optical fingerprint identification, capacitive fingerprint identification, and ultrasonic finger print identification.
Product Definition:
A mobile phone fingerprint identification system is a system that uses fingerprints as a means of identifying users of mobile phones. Mobile phone fingerprint identification is used to prevent unauthorized access to mobile phones, and can also be used to track the movements of users of mobile phones.
Optical Fingerprint Identification:
Optical fingerprint identification is a technology that uses the light from an LED to scan and identify objects. It works by directing the light on a series of transparent tiles, which are placed over an optical sensor. The patterns on these transparent tiles change the reflected light in different ways, creating unique identifying patterns for each object.
Capacitive Fingerprint Identification:
Fingerprint identification is a technology that was first implemented in the law enforcement agencies to identify criminals. The process of identifying an individual person based on their fingerprints is known as Capacitive Fingerprint Identification (CFI). It was later adopted by mobile phone manufacturers for the purpose of consumer security. CFI uses a capacitor-like device, which amplifies the energy present in fingerprint ridges and allows it to be read like any other touch screen ID.
Application Insights:
Based on application, the global mobile phone fingerprint identification market has been segmented into Android system mobile phone, IOS system mobile phone, Window system mobile phone and others. The Android OS mobiles phones segment held the largest share in 2017. This is due to a large number of manufacturers developing smartphones based on Google¢â‚¬â„¢s open source operating system. Moreover, most of these smartphones are sold through online channels which facilitate easy access to various applications downloaded from third-party app stores. However, Window System Mobile Phone (WSMFP) application is expected to witness lucrative growth over the forecast period owing to increasing adoption of WSMFP by government agencies and law enforcement agencies for accessing secured areas with ease without having physical access to the device or its credentials.
Regional Analysis:
The market in Asia Pacific is anticipated to grow at a significant rate over the forecast period. This growth can be attributed to increasing government initiatives, rising adoption of biometric-based identification systems, and increasing smartphone penetration in the region. The market for fingerprint ID system in mobile phones is expected to witness rapid growth due to its benefits such as ease of access and increased safety for users. Moreover, growing demand for smartphones with advanced features has led manufacturers including Samsung Electronics Co., Ltd.
North America held a substantial share of global revenue in 2017 owing to high demand from law enforcement agencies along with other applications such as banking transactions that require higher level security than traditional password based authentication methods.
Europe also holds a considerable share within global industry owing to early adoption by some countries like Germany and U.
Growth Factors:
- Increasing demand for mobile phone fingerprint identification in law enforcement and homeland security applications
- The increasing use of mobile phones for online banking and other financial transactions
- The growing trend of using biometric authentication for personal identification
- Proliferation of low-cost fingerprint sensors in mobile devices
- Increased demand from the Asia Pacific region
Scope Of The Report
Report Attributes
Report Details
Report Title
Mobile Phone Fingerprint Identification Market Research Report
By Type
Optical Fingerprint Identification, Capacitive Fingerprint Identification, Ultrasonic Fingerprint Identification
By Application
Android System Mobile Phone, IOS System Mobile Phone, Window System Mobile Phone, Others
By Companies
AuthenTec, Synaptics, FINGERPRINTS, J-METRICS TECHNOLOGY, Elan Microelectronic, BYD, Egis Technology, Microarray, Mstar, Silead, SUNVOLVE, Shenzhen Betterlife Eletronic Science and Technology, Chipone, Aratek, JPSensor, Image Match Design
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
144
Number of Tables & Figures
101
Customization Available
Yes, the report can be customized as per your need.
Global Mobile Phone Fingerprint Identification Market Report Segments:
The global Mobile Phone Fingerprint Identification market is segmented on the basis of:
Types
Optical Fingerprint Identification, Capacitive Fingerprint Identification, Ultrasonic Fingerprint Identification
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
Android System Mobile Phone, IOS System Mobile Phone, Window System Mobile Phone, 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:
- AuthenTec
- Synaptics
- FINGERPRINTS
- J-METRICS TECHNOLOGY
- Elan Microelectronic
- BYD
- Egis Technology
- Microarray
- Mstar
- Silead
- SUNVOLVE
- Shenzhen Betterlife Eletronic Science and Technology
- Chipone
- Aratek
- JPSensor
- Image Match Design
Highlights of The Mobile Phone Fingerprint Identification 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:
- Optical Fingerprint Identification
- Capacitive Fingerprint Identification
- Ultrasonic Fingerprint Identification
- By Application:
- Android System Mobile Phone
- IOS System Mobile Phone
- Window System Mobile Phone
- 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 Mobile Phone Fingerprint Identification 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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- Correctly Positioning New Products
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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?
Mobile phone fingerprint identification is a process of using the unique print patterns on a mobile phone to identify it. This can be used in cases where the mobile phone has been stolen or lost, and its owner would like to have it recovered as quickly as possible.
Some of the major players in the mobile phone fingerprint identification market are AuthenTec, Synaptics, FINGERPRINTS, J-METRICS TECHNOLOGY, Elan Microelectronic, BYD, Egis Technology, Microarray, Mstar, Silead, SUNVOLVE, Shenzhen Betterlife Eletronic Science and Technology, Chipone, Aratek, JPSensor, Image Match Design.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Mobile Phone Fingerprint Identification 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 Mobile Phone Fingerprint Identification Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Mobile Phone Fingerprint Identification 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 Mobile Phone Fingerprint Identification 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 Mobile Phone Fingerprint Identification Market Size & Forecast, 2018-2028
4.5.1 Mobile Phone Fingerprint Identification Market Size and Y-o-Y Growth
4.5.2 Mobile Phone Fingerprint Identification Market Absolute $ Opportunity
Chapter 5 Global Mobile Phone Fingerprint Identification 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 Mobile Phone Fingerprint Identification Market Size Forecast by Type
5.2.1 Optical Fingerprint Identification
5.2.2 Capacitive Fingerprint Identification
5.2.3 Ultrasonic Fingerprint Identification
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Mobile Phone Fingerprint Identification 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 Mobile Phone Fingerprint Identification Market Size Forecast by Applications
6.2.1 Android System Mobile Phone
6.2.2 IOS System Mobile Phone
6.2.3 Window System Mobile Phone
6.2.4 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Mobile Phone Fingerprint Identification 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 Mobile Phone Fingerprint Identification 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 Mobile Phone Fingerprint Identification Analysis and Forecast
9.1 Introduction
9.2 North America Mobile Phone Fingerprint Identification 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 Mobile Phone Fingerprint Identification Market Size Forecast by Type
9.6.1 Optical Fingerprint Identification
9.6.2 Capacitive Fingerprint Identification
9.6.3 Ultrasonic Fingerprint Identification
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 Mobile Phone Fingerprint Identification Market Size Forecast by Applications
9.10.1 Android System Mobile Phone
9.10.2 IOS System Mobile Phone
9.10.3 Window System Mobile Phone
9.10.4 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 Mobile Phone Fingerprint Identification Analysis and Forecast
10.1 Introduction
10.2 Europe Mobile Phone Fingerprint Identification 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 Mobile Phone Fingerprint Identification Market Size Forecast by Type
10.6.1 Optical Fingerprint Identification
10.6.2 Capacitive Fingerprint Identification
10.6.3 Ultrasonic Fingerprint Identification
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 Mobile Phone Fingerprint Identification Market Size Forecast by Applications
10.10.1 Android System Mobile Phone
10.10.2 IOS System Mobile Phone
10.10.3 Window System Mobile Phone
10.10.4 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 Mobile Phone Fingerprint Identification Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Mobile Phone Fingerprint Identification 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 Mobile Phone Fingerprint Identification Market Size Forecast by Type
11.6.1 Optical Fingerprint Identification
11.6.2 Capacitive Fingerprint Identification
11.6.3 Ultrasonic Fingerprint Identification
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 Mobile Phone Fingerprint Identification Market Size Forecast by Applications
11.10.1 Android System Mobile Phone
11.10.2 IOS System Mobile Phone
11.10.3 Window System Mobile Phone
11.10.4 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 Mobile Phone Fingerprint Identification Analysis and Forecast
12.1 Introduction
12.2 Latin America Mobile Phone Fingerprint Identification 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 Mobile Phone Fingerprint Identification Market Size Forecast by Type
12.6.1 Optical Fingerprint Identification
12.6.2 Capacitive Fingerprint Identification
12.6.3 Ultrasonic Fingerprint Identification
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 Mobile Phone Fingerprint Identification Market Size Forecast by Applications
12.10.1 Android System Mobile Phone
12.10.2 IOS System Mobile Phone
12.10.3 Window System Mobile Phone
12.10.4 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) Mobile Phone Fingerprint Identification Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Mobile Phone Fingerprint Identification 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) Mobile Phone Fingerprint Identification Market Size Forecast by Type
13.6.1 Optical Fingerprint Identification
13.6.2 Capacitive Fingerprint Identification
13.6.3 Ultrasonic Fingerprint Identification
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) Mobile Phone Fingerprint Identification Market Size Forecast by Applications
13.10.1 Android System Mobile Phone
13.10.2 IOS System Mobile Phone
13.10.3 Window System Mobile Phone
13.10.4 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 Mobile Phone Fingerprint Identification Market: Competitive Dashboard
14.2 Global Mobile Phone Fingerprint Identification Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 AuthenTec
14.3.2 Synaptics
14.3.3 FINGERPRINTS
14.3.4 J-METRICS TECHNOLOGY
14.3.5 Elan Microelectronic
14.3.6 BYD
14.3.7 Egis Technology
14.3.8 Microarray
14.3.9 Mstar
14.3.10 Silead
14.3.11 SUNVOLVE
14.3.12 Shenzhen Betterlife Eletronic Science and Technology
14.3.13 Chipone
14.3.14 Aratek
14.3.15 JPSensor
14.3.16 Image Match Design
