Automated Finger Print Identification Market by Component, Identification Type and Industry – Global Market Analysis and Forecast (2020 – 2025).
Automated Finger Print Identification Market by Component, Identification Type and Industry – Global Market Analysis and Forecast (2020 – 2025).
The Automated Finger Print Identification study provides a comprehensive overview of safety standards, market penetration, and innovation pipelines across major economies.
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The global automated finger print identification market generated a revenue of US$ XX.X million in 2020 and is expected to reach US$ XX.X million by 2025 with a CAGR of XX.X% in the forecast period. The automated finger print identification market report offers a comprehensive market analysis of the different segments and regions that lets readers make crucial business-related decisions with a wealth of information enclosed in this report. Also, the automated finger print identification market report provides insights into numerous factors, such as market determinants, value chain analysis, emerging trends, growth opportunity analysis, porters five-fold model analysis and macro-economic factors, at a granular level that lets readers understand the past and present market scenario and also helps to predict the potential growth of the automated finger print identification market in the forecast period.
Segment Analysis
Solution segment accounts the dominating position in the market.
o Based on components, the automated finger print identification market is segmented into hardware, software and services. The software segment holds the dominating position in the market in 2020 and is expected to retain its dominance throughout the forecast period. The software segment is further segmented into on premises and cloud based. Moreover, the service segment is further segmented into integration and managed services.
Ten print identification is expected to grow with the highest CAGR.
o Based on the identification type, the automated finger print identification market is segmented into latent print identification, ten print identification. The ten print identification is expected to grow with the highest CAGR during the forecast period. Moreover, the ten print identification also holds the dominating position of the market in 2020 and is expected to retain its dominance throughout the forecast period.
BFSI segment is expected to grow with the highest CAGR.
o Based on industry, the automated finger print identification market is segmented into Government, BFSI, Healthcare, Hospitality, Transportation, Others. The government segment holds the dominating position in the market in 2020 and is expected to retain its dominance throughout the forecast period. Moreover, the BFSI segment is expected to grow with the highest CAGR during the forecast period.
North America accounts the dominating position in the market.
o Based on the region, the automated finger print identification market is segmented into North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. North America accounts for the dominating position in the market in 2020 and is expected to retain its dominance throughout the forecast period. The U.S. and Canada are the major market-driven countries in this region. Moreover, the Asia Pacific is expected to grow with the highest CAGR in the forecast period. China, India, Japan are some of the major countries that drive the market in this region.
Automated Finger Print Identification Market Players:
o Some of the major players of automated finger print identification market are 3M Cogent Inc., Morpho SA, NEC Corporation, Fujitsu Limited, Suprema Incorporation, Crossmatch Technologies Inc., HID Global Corporation, Sonda Technologies Ltd., Dermalog Identification Systems Gmbh, M2sys Technology. The study also focuses on different business or inorganic market growth strategies through technology advancement, business expansion, alliances and mergers and acquisitions to create disruptive technologies and consumer networks.
1. Introduction
2. Market Overview
2.1. Global Automated Finger Print Identification Market Introduction
2.2. Macro- Economic Factor
2.3. Market Determinants
2.3.1. Market Driver
2.3.2. Market Restraints
2.3.3. Market Opportunities
2.3.4. Market Challenges
2.4. Value Chain Analysis
2.5. Technology/Product Roadmap
2.6. Porters 5 Force Model
2.7. Market Growth Opportunity Analysis
3. Market Segmentation
3.1. Global Automated Finger Print Identification Market Analysis (US$ Mn), By Component, 2019 - 2025
3.1.1. Hardware
3.1.2. Software
3.1.2.1. Cloud base
3.1.2.2. On Premises
3.1.3. Services
3.1.3.1. Integration Services
3.1.3.2. Managed Services
3.2. Global Automated Finger Print Identification Market Analysis (US$ Mn), By Identification Type, 2019 – 2025
3.2.1. Latent Print Identification
3.2.2. Ten Print Identification
3.3. Global Automated Finger Print Identification Market Analysis (US$ Mn), By Industry, 2019 – 2025
3.3.1. Government
3.3.2. BFSI
3.3.3. Healthcare
3.3.4. Hospitality
3.3.5. Transportation
3.3.6. Others
4. Regional Analysis
4.1. North America Automated Finger Print Identification Market Analysis (US$ Mn), 2019 - 2025
4.1.1. By Country
4.1.1.1. U.S.
4.1.1.2. Canada
4.1.2. By Component
4.1.2.1. Hardware
4.1.2.2. Software
4.1.2.2.1. Cloud base
4.1.2.2.2. On Premises
4.1.2.3. Services
4.1.2.3.1. Integration Services
4.1.2.3.2. Managed Services
4.1.3. By Identification Type
4.1.3.1.1. Latent Print Identification
4.1.3.1.2. Ten Print Identification
4.1.4. By Industry
4.1.4.1.1. Government
4.1.4.1.2. BFSI
4.1.4.1.3. Healthcare
4.1.4.1.4. Hospitality
4.1.4.1.5. Transportation
4.1.4.1.6. Others
4.2. Europe Automated Finger Print Identification Market Analysis (US$ Mn), 2019 - 2025
4.2.1. By Country, 2019 – 2025
4.2.1.1. Germany
4.2.1.2. U.K.
4.2.1.3. France
4.2.1.4. Italy
4.2.1.5. Spain
4.2.1.6. Rest of Europe
4.2.2. By Component
4.2.2.1. Hardware
4.2.2.2. Software
4.2.2.2.1. Cloud base
4.2.2.2.2. On Premises
4.2.2.3. Services
4.2.2.3.1. Integration Services
4.2.2.3.2. Managed Services
4.2.3. By Identification Type
4.2.3.1.1. Latent Print Identification
4.2.3.1.2. Ten Print Identification
4.2.4. By Industry
4.2.4.1.1. Government
4.2.4.1.2. BFSI
4.2.4.1.3. Healthcare
4.2.4.1.4. Hospitality
4.2.4.1.5. Transportation
4.2.4.1.6. Others
4.3. Asia Pacific Automated Finger Print Identification Market Analysis (US$ Mn), 2019 - 2025
4.3.1. By Country, 2019 – 2025
4.3.1.1. China
4.3.1.2. Japan
4.3.1.3. India
4.3.1.4. Rest of Asia Pacific
4.3.2. By Component
4.3.2.1. Hardware
4.3.2.2. Software
4.3.2.2.1. Cloud base
4.3.2.2.2. On Premises
4.3.2.3. Services
4.3.2.3.1. Integration Services
4.3.2.3.2. Managed Services
4.3.3. By Identification Type
4.3.3.1.1. Latent Print Identification
4.3.3.1.2. Ten Print Identification
4.3.4. By Industry
4.3.4.1.1. Government
4.3.4.1.2. BFSI
4.3.4.1.3. Healthcare
4.3.4.1.4. Hospitality
4.3.4.1.5. Transportation
4.3.4.1.6. Others
4.4. Middle East & Africa Automated Finger Print Identification Market Analysis (US$ Mn), 2019 - 2025
4.4.1. By Country, 2019 – 2025
4.4.1.1. Middle East
4.4.1.2. Africa
4.4.2. By Component
4.4.2.1. Hardware
4.4.2.2. Software
4.4.2.2.1. Cloud base
4.4.2.2.2. On Premises
4.4.2.3. Services
4.4.2.3.1. Integration Services
4.4.2.3.2. Managed Services
4.4.3. By Identification Type
4.4.3.1.1. Latent Print Identification
4.4.3.1.2. Ten Print Identification
4.4.4. By Industry
4.4.4.1.1. Government
4.4.4.1.2. BFSI
4.4.4.1.3. Healthcare
4.4.4.1.4. Hospitality
4.4.4.1.5. Transportation
4.4.4.1.6. Others
4.5. Latin America Automated Finger Print Identification Market Analysis (US$ Mn), 2019 - 2025
4.5.1. By Country, 2019 – 2025
4.5.1.1. Brazil
4.5.1.2. Mexico
4.5.1.3. Rest of Latin America
4.5.2. By Component
4.5.2.1. Hardware
4.5.2.2. Software
4.5.2.2.1. Cloud base
4.5.2.2.2. On Premises
4.5.2.3. Services
4.5.2.3.1. Integration Services
4.5.2.3.2. Managed Services
4.5.3. By Identification Type
4.5.3.1.1. Latent Print Identification
4.5.3.1.2. Ten Print Identification
4.5.4. By Industry
4.5.4.1.1. Government
4.5.4.1.2. BFSI
4.5.4.1.3. Healthcare
4.5.4.1.4. Hospitality
4.5.4.1.5. Transportation
4.5.4.1.6. Others
5. Competitive Analysis
5.1. Company Share Analysis (%) 2019
5.2. List of Acquisition, Merger, Collaboration & New Product Launch
6. Company Profiles
6.1. 3M Cogent Inc.
6.2. Morpho SA
6.3. NEC Corporation
6.4. Fujitsu Limited
6.5. Suprema Incorporation
6.6. Crossmatch Technologies Inc.
6.7. HID Global Corporation
6.8. Sonda Technologies Ltd.
6.9. Dermalog Identification Systems Gmbh
6.10. M2sys Technology
Research Methodology:
Automated Finger Print Identification Market Size Estimation
To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.
Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.
Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.
We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.
Data Source
Secondary Sources
This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.
These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.
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Primary Sources
As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.
On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.
These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.
Key Data Information from Primary Sources
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