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Automated Fingerprint Identification System Market: Global Industry Analysis, Market Size, Share, Trends, Application Analysis, Growth and Forecast, 2022-2027

“Global Automated Fingerprint Identification System Market: Industry Analysis, Market Size, Share, Trends, Application Analysis, Growth and Forecast, 2022-2027provides a deep and thorough evaluation of the global automated fingerprint identification system market. An automated fingerprint identification system (AFIS) is a biometric identification software, which stores and analyzes fingerprints for authentication of the user’s identity. The hardware includes fingerprint modules, microprocessors, and display units. As compared to the traditionally used systems, AFIS provides a higher level of security against fraudulent activities and breaches. It is widely used across various private, public, and commercial sectors.

The global automated fingerprint identification system market is primarily being driven by the increasing instances of identity thefts and security breaches. Law enforcement agencies and other organizations are extensively using AFIS for real-time tracking of individuals and enforcing access control. Moreover, the rising adoption of AFIS in smartphones and automated teller machines (ATMs), which use a pin and fingerprint-based keys, are contributing to the market growth.

Beginning with a global overview, the report explores the dynamics that have a strong influence on the automated fingerprint identification system market and can also impact its future growth. Taking 2021 as the base year, the report covers the historical market scenarios from 2016-2021 and provides forecasts till 2027.  This includes the study of value and volume trends and pricing history. Growth-inducing factors, market restraints, and recent developments have also been analyzed in the report in order to provide deeper knowledge about the industry. On a regional basis, the report examines the automated fingerprint identification system market in North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. For each of these regions, the report studies the automated fingerprint identification system market in detail for the latest trends, outlooks, and opportunities.

The report analyses the competitive structure of the automated fingerprint identification system industry and provides the profiles of major players operating in the market. The price margins for the products along with the various success and risk factors for manufacturers have also been covered in the report. Moreover, in order to determine market attractiveness, the report analyses the automated fingerprint identification system industry along with the parameters of Porter’s Five Forces model. This model examines the degree of competition in the automated fingerprint identification system industry by analyzing the threat posed by new entrants and substitutes, and the bargaining power of suppliers and buyers. SWOT analysis of the market has also been presented in the report which highlights the strengths, weaknesses, opportunities, and threats pertaining to the automated fingerprint identification system industry. Furthermore, the value chain analysis of the automated fingerprint identification system industry has also been covered in the report. This comprises all the activities in the value chain, such as the procurement of various raw materials, manufacturing, sales, and distribution.

 Key Segments and Highlights of the Global Automated Fingerprint Identification System Market 

  • Historical and current scenario
  • Trends and developments
  • Impact of COVID-19
  • Market forecast
  • Price analysis and forecast
  • Porter’s five forces analysis
  • SWOT analysis
  • Value chain analysis
  • Market Breakup by Type
  • Market Breakup by End-Use
  • Market Breakup by Region
    • North America
    • Europe
    • Asia-Pacific
    • Latin America
    • Middle East & Africa
  • Key players         


The report is a result of exhaustive primary and secondary research undertaken by analysts having years of experience in the automated fingerprint identification system industry. All the qualitative and quantitative aspects of the industry have been covered and the collected data has been analyzed and presented in the form of easily comprehensible charts, graphs, and tables.

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