Global Human Identification Market Overview 2023-2028
IMARC Group, a leading market research company, has recently releases report titled “Human Identification Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028.” The study provides a detailed analysis of the industry, including the global human identification market share, size, trends, and growth forecasts. The report also includes competitor and regional analysis and highlights the latest advancements in the market.
The global human identification market size reached US$ 1.7 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 3.4 Billion by 2028, exhibiting a growth rate (CAGR) of 11.5% during 2023-2028
Human identification involves the distinct recognition and confirmation of an individual’s identity by examining a range of physical, behavioral, or biometric attributes. It encompasses methods such as fingerprint analysis, facial recognition, iris scanning, DNA profiling, voice authentication, and signature validation. This process plays a vital role in criminal investigations, enabling the association of suspects with criminal activities through diverse means. Moreover, it holds significant importance in forensic inquiries, facilitating the identification of accident or disaster victims, as well as individuals involved in criminal incidents. Furthermore, human identification serves as a valuable tool for preventing unauthorized entry into secured areas and safeguarding sensitive data, thereby reducing the potential for security breaches.
Global Human Identification Market Trends and Drivers:
Currently, the escalating need for human identification, aimed at enhancing security and thwarting unauthorized access to sensitive information, safeguarding facilities, and critical infrastructure, stands as a pivotal driver for market expansion. Moreover, the continuous advancements in machine learning (ML), artificial intelligence (AI), and data analytics are playing a significant role in fueling market growth. Furthermore, the expanding adoption of human identification technologies in the healthcare sector, with the goal of enhancing patient safety, streamlining medical record management, and curbing medical fraud, is contributing to a promising market outlook. Additionally, the growing demand for contactless biometrics in various public settings to mitigate the risk of infections is also bolstering market expansion.
Global Human Identification Market 2023-2028 Analysis and Segmentation:
Top Key Players covered in this report are: Abbott Laboratories, Agilent Technologies Inc., Bio-Rad Laboratories Inc., Eurofins Scientific, Hamilton Company, Illumina Inc., Laboratory Corporation of America Holdings, PerkinElmer Inc., Promega Corporation, Qiagen N.V., Siemens AG and Thermo Fisher Scientific Inc.
The report segmented the market on the basis of region, product & service, technology, application and end user.
Breakup by Product & Service:
- Instruments
- Assay Kits and Reagents
- Software and Services
Breakup by Technology:
- Polymerase Chain Reaction (PCR)
- Next Generation Sequencing (NGS)
- Nucleic Acid Purification and Extraction
- Capillary Electrophoresis
- Rapid DNA Analysis
- Others
Breakup by Application:
- Forensic Applications
- Paternity Testing
- Others
Breakup by End User:
- Forensic Laboratories
- Research Centers, Academic and Government Institutes
Breakup by Region:
- North America: (United States, Canada)
- Asia Pacific: (China, Japan, India, South Korea, Australia, Indonesia, Others)
- Europe: (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
- Latin America: (Brazil, Mexico, Others)
- Middle East and Africa
Key highlights of the report:
- Market Performance (2017-2022)
- Market Outlook (2023- 2028)
- Porter’s Five Forces Analysis
- Market Drivers and Success Factors
- SWOT Analysis
- Value Chain
- Comprehensive Mapping of the Competitive Landscape
If you need specific information that is not currently within the scope of the report, we can provide it to you as a part of the customization.