Human Identification Analytics Software Market to Register a CAGR of 10.66% by 2028 – Trends, Key Manufacturers and Regional Analysis

Market Overview:

The Global Human identification analysis software Market was valued at USD 417.36 Million in 2021 and is projected to reach USD 848.10 Million by 2028, growing at a CAGR of 10.66%.

Human identification is a branch of science that is used to analyze DNA, fingerprint samples for identification of a person in a forensic investigation. This technique depends on distinguishing the ridges found on the suspect’s fingers, as every human’s ridges have unique formations and categorization. Human identification technology is commonly used in forensic laboratories to solve criminal cases or to identify criminals; it is normally used for DNA, blood, hair, teeth and skin analysis. It is also used in the research laboratory to perform certain research results. For example, the French company IDEMIA is a provider of identity-related security services and focuses on biometric solutions for both private companies and governments. According to Statista, IDEMIA’s annual sales amounted to US$2.3 billion in 2019. In addition, academic and government institutes use this program to teach students about forensics and investigation, which helps to the boom of the human identification analysis software market during the projected period.

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Main key players for Human identification analysis software:

  • Thermo Fisher Scientific
  • QUIGEN
  • Promega Corporation
  • Agilent Technologies Inc.
  • New England Organic Laboratories
  • General electricity company
  • Illumina Inc.
  • LGC Limited
  • NMS Laboratories
  • Hamilton Company
  • Eurofins Scientific
  • Perkin Elmer Inc.
  • Tekan Trading S.A.

Market Dynamics and Drivers:

Human identification is directly related to biometric detection and database formation so that analysis of a particular individual can be performed for various reasons but mainly for forensic applications. Investigative authorities use them for criminal identification and total analysis of human traits. The human identification system can be used to identify any kind of human feature, whether it is lips, iris, palm or face, but mainly in large scale in survey or for medical-legal reports. DNA and fingerprint identification software is used. This software displays accurate and fast results that help the police or criminal investigators to solve the criminal cases propelling the growth of the human identification analysis software market. For example, OSIRIS is public domain, free, and open-source STR analysis software designed for clinical, forensic, and research use, and has been validated for use as an expert system for single-source samples. This software is used for fragment analysis, stem cell transplant testing, medical-legal records, parentage analysis, cell line verification, laboratory process monitoring, research, training /education and automation of reanalysis. Software like this is driving the growth of human identification analysis software market.

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Human Identification Scanning Software Report Highlight:

  • By technology, capillary electrophoresis segment is expected to have the maximum market share in human identification analysis software during the projected period. It is the main technique used in forensic DNA laboratories around the world. These enhance the human identification analysis software market.
  • By end-user, the forensic laboratory segment is expected to grow the most in human identification analysis software during the forecast year. Forensic labs hold the highest growth rate due to the increase in criminal cases and labs. Additionally, improvements in forensic science propel the growth of the market.
  • By region, North America is expected to dominate human identification analysis software over the projection period. Early adoption of advanced technologies and advanced forensic infrastructure in this region is propelling the growth of the market.

Industry key development:

  • In June 2021, QIAGEN NV has announced a commercialization partnership with San Diego-based human identification specialist Verogen. Through this collaboration, customers of both companies will benefit from enhanced tools and comprehensive support for human identification (HID) workflows in their labs.

Human identification analysis software Segmentation:

By technology

  • Capillary electrophoresis
  • DNA test
  • next generation sequencing
  • Others

Per end user

  • Research centers
  • Academic and government institutes
  • Forensic laboratories

For this report, Introspective Market Research has segmented Human Identification Analytics Software based on region:

Regional Outlook (Revenue in USD Million; Volume in Units, 2022-2028)

  • North America
  • Europe
    • Germany
    • France
    • UK
    • Italy
    • Turkey
    • The rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Indonesia
    • Vietnam
    • Thailand
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Saudi Arabia
    • South Africa
    • Iran
    • Rest of MEA
  • Latin America
    • Brazil
    • Argentina
    • Rest of LATAM

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Report Scope:

The objective of the research is to provide market knowledge and strategic insights to help decision makers make informed investment decisions and identify potential gaps and growth opportunities. Historical revenue and sales volume are reported, and additional data is triangulated using top-down and bottom-up methodologies to predict forecast figures for important regions covered in research, as well as classified and well-known types and end-use industries. The Human Identification Analysis Software study explores the competitive landscape of the global market. Apart from competitor market share research, in-depth profiling, product/services and business insights, the study focuses on BCG matrix, heat map analysis and SWOT analysis to better correlate the market competitiveness. Five forces analysis, Ansoff matrix, PESTEL analysis and value chain analysis are used to better understand the market conditions.

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