The global automated fingerprint identification system market size is expected to be worth around US$ 25.3 billion by 2030, according to a new report by Vision Research Reports.
The global automated fingerprint identification system market size was valued at US$ 6.26 billion in 2020 and is anticipated to grow at a CAGR of 20.4% during forecast period 2021 to 2030.
Report Coverage
Report Scope | Details |
Market Size | US$ 25.3 Bn by 2030 |
Growth Rate | CAGR of 20.4% From 2021 to 2030 |
Base Year | 2021 |
Forecast Period | 2021 to 2030 |
Segments Covered | Component, End-use |
Regional Scope | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
Companies Mentioned | Gemalto NV; NEC Corporation; Crossmatch; IDEMIA; Dermalog Identification Systems GmbH; SUPREMA; Fujitsu Limited; Sonda Technologies; HID Global Corporation; Papillon Systems; East Shore Technologies, Inc.; and AFIX Technologies. |
Growth Factors
The market has witnessed considerable growth over the past few years owing to the advantages of AFIS technology, such as the high level of security in commercial, private, and public sectors. It helps minimize frauds and security breaches better than traditional methods such as passwords and tokens.
Increasing demand for advanced security systems across various business domains is expected to boost the growth. In addition, rising adoption of mobile payment solutions and demand for integrated AFIS solutions are expected to fuel the expansion.
By End-use Analysis
The government segment dominated the market owing to rising adoption of AFIS to ensure unique identity for an individual that helps eliminate issues such as identity theft or false identity. Increasing adoption of advanced authentication and recognition systems in smartphones and tablets is expected to drive the demand from consumer electronics segment.
The BFSI segment is expected to register significant growth over the forecast period. This growth can be attributed to the increasing adoption of AFIS technology to facilitate secure financial transactions.
By Component Analysis
The software segment is projected to dominate the market over the forecast period. This can be attributed to rising demand for integrated AFIS products for individual or criminal identification. Furthermore, automated fingerprint identification system providers are focusing on developing high-performance and standard-compliant systems with full modularity, which allow users to get a solution tailored to the specific business processes efficiently.
Introduction of open architecture platform based on AFIS which allows users to choose components based on their business needs to develop a customized identity management solution.
By Regional Analysis
North America dominated the Automated Fingerprint Identification System (AFIS) market in terms of revenue with a market size of USD 2.09 billion in 2020. This trend is projected to continue over the forecast period attributed to early adoption of the technology and the presence of major AFIS vendors in the region.
The Asia Pacific AFIS market is expected to witness significant growth over the forecast period. This growth can be attributed to rise in government initiatives to create personal tax ID, unique identity number, and e-passport, among others, based on biometric information such as fingerprint, iris, and face recognition.
Key Players
Gemalto NV; NEC Corporation; Crossmatch; IDEMIA; Dermalog Identification Systems GmbH; SUPREMA; Fujitsu Limited; Sonda Technologies; HID Global Corporation; Papillon Systems; East Shore Technologies, Inc.; and AFIX Technologies.
Market Segmentation
By Component
Hardware
Software
Service
By End-use
Banking & Finance
Consumer Electronics
Defense & Security
Government
Healthcare
Transport/Logistics
Others
Regional
North America
The U.S.
Canada
Europe
The U.K.
Germany
Asia Pacific
China
India
Japan
Latin America
Brazil
MEA
The Automated Fingerprint Identification System market research report covers definition, classification, product classification, product application, development trend, product technology, competitive landscape, industrial chain structure, industry overview, national policy and planning analysis of the industry, the latest dynamic analysis, etc., and also includes major. The study includes drivers and restraints of the global market. It covers the impact of these drivers and restraints on the demand during the forecast period. The report also highlights opportunities in the market at the global level.
The report provides size (in terms of volume and value) of Automated Fingerprint Identification System market for the base year 2020 and the forecast between 2021 and 2030. Market numbers have been estimated based on form and application. Market size and forecast for each application segment have been provided for the global and regional market.
This report focuses on the global Automated Fingerprint Identification System market status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Automated Fingerprint Identification System market development in United States, Europe and China.
It is pertinent to consider that in a volatile global economy, we haven’t just conducted Automated Fingerprint Identification System market forecasts in terms of CAGR, but also studied the market based on key parameters, including Year-on-Year (Y-o-Y) growth, to comprehend the certainty of the market and to find and present the lucrative opportunities in market.
In terms of production side, this report researches the Automated Fingerprint Identification System capacity, production, value, ex-factory price, growth rate, market share for major manufacturers, regions (or countries) and type.
In terms of consumption side, this report focuses on the consumption of Automated Fingerprint Identification System by regions (countries) and application.
Buyers of the report will have access to verified market figures, including global market size in terms of revenue and volume. As part of production analysis, the authors of the report have provided reliable estimations and calculations for global revenue and volume by Type segment of the global Automated Fingerprint Identification System market. These figures have been provided in terms of both revenue and volume for the period 2017 to 2030. Additionally, the report provides accurate figures for production by region in terms of revenue as well as volume for the same period. The report also includes production capacity statistics for the same period.
With regard to production bases and technologies, the research in this report covers the production time, base distribution, technical parameters, research and development trends, technology sources, and sources of raw materials of major Automated Fingerprint Identification System market companies.
Regarding the analysis of the industry chain, the research of this report covers the raw materials and equipment of Automated Fingerprint Identification System market upstream, downstream customers, marketing channels, industry development trends and investment strategy recommendations. The more specific analysis also includes the main application areas of market and consumption, major regions and Consumption, major Chinese producers, distributors, raw material suppliers, equipment providers and their contact information, industry chain relationship analysis.
The research in this report also includes product parameters, production process, cost structure, and data information classified by region, technology and application. Finally, the paper model new project SWOT analysis and investment feasibility study of the case model.
Overall, this is an in-depth research report specifically for the Automated Fingerprint Identification System industry. The research center uses an objective and fair way to conduct an in-depth analysis of the development trend of the industry, providing support and evidence for customer competition analysis, development planning, and investment decision-making. In the course of operation, the project has received support and assistance from technicians and marketing personnel in various links of the industry chain.
Automated Fingerprint Identification System market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to Automated Fingerprint Identification System market.
Prominent players in the market are predicted to face tough competition from the new entrants. However, some of the key players are targeting to acquire the startup companies in order to maintain their dominance in the global market. For a detailed analysis of key companies, their strengths, weaknesses, threats, and opportunities are measured in the report by using industry-standard tools such as the SWOT analysis. Regional coverage of key companies is covered in the report to measure their dominance. Key manufacturers of Automated Fingerprint Identification System market are focusing on introducing new products to meet the needs of the patrons. The feasibility of new products is also measured by using industry-standard tools.
Key companies are increasing their investments in research and development activities for the discovery of new products. There has also been a rise in the government funding for the introduction of new Automated Fingerprint Identification System market. These factors have benefited the growth of the global market for Automated Fingerprint Identification System. Going forward, key companies are predicted to benefit from the new product launches and the adoption of technological advancements. Technical advancements have benefited many industries and the global industry is not an exception.
New product launches and the expansion of already existing business are predicted to benefit the key players in maintaining their dominance in the global market for Automated Fingerprint Identification System. The global market is segmented on the basis of region, application, en-users and product type. Based on region, the market is divided into North America, Europe, Asia-Pacific, Latin America and Middle East and Africa (MEA).
In this study, the years considered to estimate the market size of Automated Fingerprint Identification System are as follows:
Reasons to Purchase this Report:
- Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
- Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
- Market value USD Million and volume Units Million data for each segment and sub-segment
- Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
- Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
Research Methodology:
In-depth interviews and discussions were conducted with several key market participants and opinion leaders to compile the research report.
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.
The study objectives of this report are:
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. Market Dynamics Analysis and Trends
5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition
Chapter 6. Competitive Landscape
6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers
Chapter 7. Global Automated Fingerprint Identification System Market, By Product
7.1. Automated Fingerprint Identification System Market, by Product, 2021-2030
7.1.1. Hardware
7.1.1.1. Market Revenue and Forecast (2017-2030)
7.1.2. Software
7.1.2.1. Market Revenue and Forecast (2017-2030)
7.1.3. Service
7.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 8. Global Automated Fingerprint Identification System Market, By End-use
8.1. Automated Fingerprint Identification System Market, by End-use, 2021-2030
8.1.1. Banking & Finance
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Consumer Electronics
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Defense & Security
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Government
8.1.4.1. Market Revenue and Forecast (2017-2030)
8.1.5. Healthcare
8.1.5.1. Market Revenue and Forecast (2017-2030)
8.1.6. Transport/Logistics
8.1.6.1. Market Revenue and Forecast (2017-2030)
8.1.7. Others
8.1.7.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Automated Fingerprint Identification System Market, Regional Estimates and Trend Forecast
9.1. North America
9.1.1. Market Revenue and Forecast, by Product (2017-2030)
9.1.2. Market Revenue and Forecast, by End-use (2017-2030)
9.1.3. U.S.
9.1.3.1. Market Revenue and Forecast, by Product (2017-2030)
9.1.3.2. Market Revenue and Forecast, by End-use (2017-2030)
9.1.4. Rest of North America
9.1.4.1. Market Revenue and Forecast, by Product (2017-2030)
9.1.4.2. Market Revenue and Forecast, by End-use (2017-2030)
9.2. Europe
9.2.1. Market Revenue and Forecast, by Product (2017-2030)
9.2.2. Market Revenue and Forecast, by End-use (2017-2030)
9.2.3. UK
9.2.3.1. Market Revenue and Forecast, by Product (2017-2030)
9.2.3.2. Market Revenue and Forecast, by End-use (2017-2030)
9.2.4. Germany
9.2.4.1. Market Revenue and Forecast, by Product (2017-2030)
9.2.4.2. Market Revenue and Forecast, by End-use (2017-2030)
9.2.5. France
9.2.5.1. Market Revenue and Forecast, by Product (2017-2030)
9.2.5.2. Market Revenue and Forecast, by End-use (2017-2030)
9.2.6. Rest of Europe
9.2.6.1. Market Revenue and Forecast, by Product (2017-2030)
9.2.6.2. Market Revenue and Forecast, by End-use (2017-2030)
9.3. APAC
9.3.1. Market Revenue and Forecast, by Product (2017-2030)
9.3.2. Market Revenue and Forecast, by End-use (2017-2030)
9.3.3. India
9.3.3.1. Market Revenue and Forecast, by Product (2017-2030)
9.3.3.2. Market Revenue and Forecast, by End-use (2017-2030)
9.3.4. China
9.3.4.1. Market Revenue and Forecast, by Product (2017-2030)
9.3.4.2. Market Revenue and Forecast, by End-use (2017-2030)
9.3.5. Japan
9.3.5.1. Market Revenue and Forecast, by Product (2017-2030)
9.3.5.2. Market Revenue and Forecast, by End-use (2017-2030)
9.3.6. Rest of APAC
9.3.6.1. Market Revenue and Forecast, by Product (2017-2030)
9.3.6.2. Market Revenue and Forecast, by End-use (2017-2030)
9.4. MEA
9.4.1. Market Revenue and Forecast, by Product (2017-2030)
9.4.2. Market Revenue and Forecast, by End-use (2017-2030)
9.4.3. GCC
9.4.3.1. Market Revenue and Forecast, by Product (2017-2030)
9.4.3.2. Market Revenue and Forecast, by End-use (2017-2030)
9.4.4. North Africa
9.4.4.1. Market Revenue and Forecast, by Product (2017-2030)
9.4.4.2. Market Revenue and Forecast, by End-use (2017-2030)
9.4.5. South Africa
9.4.5.1. Market Revenue and Forecast, by Product (2017-2030)
9.4.5.2. Market Revenue and Forecast, by End-use (2017-2030)
9.4.6. Rest of MEA
9.4.6.1. Market Revenue and Forecast, by Product (2017-2030)
9.4.6.2. Market Revenue and Forecast, by End-use (2017-2030)
9.5. Latin America
9.5.1. Market Revenue and Forecast, by Product (2017-2030)
9.5.2. Market Revenue and Forecast, by End-use (2017-2030)
9.5.3. Brazil
9.5.3.1. Market Revenue and Forecast, by Product (2017-2030)
9.5.3.2. Market Revenue and Forecast, by End-use (2017-2030)
9.5.4. Rest of LATAM
9.5.4.1. Market Revenue and Forecast, by Product (2017-2030)
9.5.4.2. Market Revenue and Forecast, by End-use (2017-2030)
Chapter 10. Company Profiles
10.1. Gemalto NV
10.1.1. Company Overview
10.1.2. Product Offerings
10.1.3. Financial Performance
10.1.4. Recent Initiatives
10.2. NEC Corporation
10.2.1. Company Overview
10.2.2. Product Offerings
10.2.3. Financial Performance
10.2.4. Recent Initiatives
10.3. Crossmatch
10.3.1. Company Overview
10.3.2. Product Offerings
10.3.3. Financial Performance
10.3.4. Recent Initiatives
10.4. IDEMIA
10.4.1. Company Overview
10.4.2. Product Offerings
10.4.3. Financial Performance
10.4.4. Recent Initiatives
10.5. Dermalog Identification Systems GmbH
10.5.1. Company Overview
10.5.2. Product Offerings
10.5.3. Financial Performance
10.5.4. Recent Initiatives
10.6. SUPREMA
10.6.1. Company Overview
10.6.2. Product Offerings
10.6.3. Financial Performance
10.6.4. Recent Initiatives
10.7. Fujitsu Limited
10.7.1. Company Overview
10.7.2. Product Offerings
10.7.3. Financial Performance
10.7.4. Recent Initiatives
10.8. Sonda Technologies
10.8.1. Company Overview
10.8.2. Product Offerings
10.8.3. Financial Performance
10.8.4. Recent Initiatives
10.9. HID Global Corporation
10.9.1. Company Overview
10.9.2. Product Offerings
10.9.3. Financial Performance
10.9.4. Recent Initiatives
10.10. Papillon Systems
10.10.1. Company Overview
10.10.2. Product Offerings
10.10.3. Financial Performance
10.10.4. Recent Initiatives
Chapter 11. Research Methodology
11.1. Primary Research
11.2. Secondary Research
11.3. Assumptions
Chapter 12. Appendix
12.1. About Us
Glossary of Terms