Global Artificial Intelligence in Forensic Science Market Size, Share, and COVID-19 Impact Analysis, By Technology (Machine Learning (ML), Natural Language Processing (NLP), Computer Vision), By Application (Voice Recognitions, Image Recognition, Fingerprints Recognition, Others), and By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2023 – 2033

Industry: Healthcare

RELEASE DATE Mar 2024
REPORT ID SI4029
PAGES 200
REPORT FORMAT PathSoft

Global Artificial Intelligence in Forensic Science Market Insights Forecasts to 2033

  • The Global Artificial Intelligence in Forensic Science Market Size is Growing at a CAGR of 13.8% from 2023 to 2033.
  • The Worldwide Artificial Intelligence in Forensic Science Market Size is Expected to Hold a Significant Share by 2033.
  • Asia Pacific is expected to grow the fastest during the forecast period.

Global Artificial Intelligence in Forensic Science Market

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The Global Artificial Intelligence in Forensic Science Market Size is Expected to Hold a Significant Share by 2033, at a CAGR of 13.8% during the forecast period 2023 to 2033.

 

Artificial intelligence (AI) is going to control the next industrial revolution. Artificial intelligence will change every industry sector. The fields of forensic science are crucial to criminal investigations, and they have a lot of room to grow because of artificial intelligence. Each investigation or procedure cannot avoid more recent methods for very long. Artificial intelligence has the potential to overcome many of the restrictions associated with the traditional methods of conducting autopsies and formulating opinions. In addition to existing uses, academics are investigating new approaches to using AI in forensic science. Researchers are looking at automated lie detection systems, for instance, which utilize voice recognition technology to identify minute variations in a person's voice while they are lying. This may give detectives important information about whether or not a suspect is telling the truth when they are interrogated. For instance, forensic science has been utilized to assist in the investigation of crimes and the administration of justice to the harmed. Artificial intelligence (AI) is now a tool that forensic scientists can utilize to help in their investigations because of recent technological breakthroughs. Artificial intelligence (AI) in the forensic science market has the potential to completely change the field of forensic science by offering more precise evidence analysis and expediting market growth in the forecast period.

 

Report Coverage

This research report categorizes the market for the global artificial intelligence in forensic science market based on various segments and regions forecasts revenue growth and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the global artificial intelligence in forensic science market. Recent market developments and competitive strategies such as expansion, product launch, and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the global artificial intelligence in forensic science market.

 

Global Artificial Intelligence in Forensic Science Market Report Coverage

Report CoverageDetails
Base Year:2023
Forecast Period:2023-2033
Forecast Period CAGR 2023-2033 :13.8%
Historical Data for:2019-2022
No. of Pages:200
Tables, Charts & Figures:110
Segments covered:By Technology, By Application, By Region
Companies covered::Thermo Fisher Scientific, Agilent Technologies, SciCorp Laboratories, Illumina, GE HealthCare, QIAGEN, LGC, NMS Labs, SPEX Forensics, Inc., Eurofins Scientific Finland Oy, Global Forensic Technology Industry Scope, and other key companies.
Pitfalls & Challenges:Covid-19 Empact,Challenges,Growth, Analysis.

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Driving Factors

Identifying specific patterns in huge quantities of data is a critical component of forensic science. It might involve utilizing software to recognize various elements of a picture or a person using visual pattern recognition. Other types of pattern recognition might also exist, such as the ability to identify patterns in sound files or text messages. Conditional thinking and extensive statistics are the foundations of pattern recognition. Such patterns in complex data can be more accurately recognized by AI. Certain qualities might entail identifying specific picture types or be predicated on knowledge of how people process information. These are very time-consuming processes. Such factors are fuelling the artificial intelligence in forensic science market growth in the forecast period.

 

Restraining Factors        

The reluctance of forensic science to switch from their current system to an AI-operated one that requires less human intervention is another significant barrier to the market. Furthermore, one of the biggest obstacles to the market is the absence of standardization for AI models. It is challenging to develop reliable and broadly applicable AI solutions since healthcare data is frequently unstructured and varies throughout different organizations. Due to the significant market constraints, they impose, all of these problems restrict the adoption of AI solutions in the healthcare sector.

 

Market Segmentation

By Technology Insights

The machine learning (ML) segment dominates the market with the largest revenue share over the forecast period.

On the basis of the technology, the global artificial intelligence in forensic science market is segmented into machine learning (ML), natural language processing (NLP), and computer vision. Among these, the machine learning (ML) segment is dominating the market with the largest revenue share over the forecast period. Forensic investigators deal with collecting and analysing data to reconstruct occurrences. Because people interact with one another so much daily, machine learning enables investigators to do more efficient and productive research with a variety of algorithms. A subset of artificial intelligence is machine learning. It is a scientific field that focuses on creating computer models and algorithms that can carry out particular functions without the need for programming, like training and testing datasets, and on its ability to support research.

 

By Application Insights

The fingerprint recognition segment is witnessing significant CAGR growth over the forecast period.

On the basis of application, the global artificial intelligence market in forensic science is segmented into voice recognition, image recognition, fingerprint recognition, and others. Among these, the fingerprint recognition segment is witnessing significant growth over the forecast period. Certain fingerprints have been reported to be difficult to scan or identify because of skin disorders, damaged fingerprints, scars, or small fingerprint surface areas. There are other difficulties, such as old, clipped, low-quality, and damaged fingerprint pictures. Since AI can easily do this work in less time, such factors are fueling market growth in the forecast period.

 

Regional Insights

North America dominates the market with the largest market share over the forecast period.

 

North America

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North America is dominating the market with the largest market share over the forecast period. The use of forensic investigation services is being encouraged by law enforcement and private companies in a variety of sectors, including healthcare. Additionally, the development of more advanced forensic techniques and better healthcare facilities has increased the effectiveness of forensic analysis in the region, which is anticipated to propel the market. The growing elderly populations, changing lifestyles, rising prevalence of chronic illnesses, rising demand for value-based care, and increased knowledge about the application of AI-based technologies are all driving market expansion in North America.

 

Asia Pacific is expected to grow the fastest during the forecast period. This growth rate is due to rapid developments and improvements in IT infrastructure, as well as entrepreneurial initiatives focusing on AI-based technology. One of the main reasons propelling the growth of the Asia Pacific market is the favorable government policies supporting and encouraging healthcare organizations and care providers to quickly adopt AI-based technology.

 

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the global artificial intelligence in forensic science market along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

 

List of Key Market Players

  • Thermo Fisher Scientific
  • Agilent Technologies
  • SciCorp Laboratories
  • Illumina
  • GE HealthCare
  • QIAGEN
  • LGC
  • NMS Labs
  • SPEX Forensics, Inc.
  • Eurofins Scientific Finland Oy
  • Global Forensic Technology Industry Scope
  • Others

 

Key Market Developments

  • On March 2024, Kairo Media is delighted to announce the launch of a pioneering new feature on the DMH Forensics website: "AIMEE”. Visitors can engage in real-time communication with a subject-matter expert in this specially trained GPT chat, which is intended to respond to inquiries about advanced forensics with the expertise of a post-graduate level specialist.

 

Market Segment

This study forecasts revenue at global, regional, and country levels from 2020 to 2032. Spherical Insights has segmented the global Artificial Intelligence in Forensic Science market based on the below-mentioned segments:

 

Artificial Intelligence in Forensic Science Market, Technology Analysis

  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Computer Vision

 

Artificial Intelligence in Forensic Science Market, Application Analysis

  • Voice Recognitions
  • Image Recognition
  • Fingerprints Recognition
  • Others

 

Artificial Intelligence in Forensic Science Market, Regional Analysis

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • Uk
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Middle East & Africa
    • UAE
    • Saudi Arabia
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

Frequently Asked Questions (FAQ)

  • 1. What is the market size of the Global Artificial Intelligence in Forensic Science Market?
    The Global Artificial Intelligence in Forensic Science Market is expected to grow from USD XX Billion in 2023 to USD XX Billion by 2033, at a CAGR of XX% during the forecast period 2023-2033.
  • 2. Which region is dominating the Global Artificial Intelligence in Forensic Science Market?
    North America is dominating the market with the largest market share over the forecast Period.
  • 3. Which are the key companies in the market?
    Thermo Fisher Scientific, Agilent Technologies, SciCorp Laboratories, Illumina, GE HealthCare, QIAGEN, LGC, NMS Labs, SPEX Forensics, Inc., Eurofins Scientific Finland Oy, Global Forensic Technology Industry Scope, and Others.

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