Artificial Intelligence (AI) in HIV/AIDS Market Size Worth $519.63 Million by 2030 | CAGR: 8.9%

Artificial Intelligence (AI) in HIV/AIDS Market Size Worth $519.63 Million by 2030 | CAGR: 8.9%

The global artificial intelligence (AI) in HIV/AIDS market size is expected to reach USD 519.63 million by 2030 according to a new study by Polaris Market Research. The report “Artificial Intelligence (AI) in HIV/AIDS Market Share, Size, Trends, Industry Analysis Report, By Tools (Machine Learning, Natural Language Processing, Image Processing, Speech Recognition, Others), By Data; By Types of Algorithms; By Region; Segment Forecast, 2022 - 2030” gives a detailed insight into current market dynamics and provides analysis on future market growth.


The growing incidence of HIV/AIDS coupled with the increasing investment in R&D activities by the leading industry players are the prime factor for the artificial intelligence in HIV/AIDS industry growth. Additionally, the rising penetration of ML (Machine Learning), NLP (Natural Language Processing), and other algorithms to apprehend complex health care data and proficient analysis is surging the industry demand.


Moreover, the integration of novel technologies and development in artificial intelligence (AI) technology aids in imaging & diagnostics, drug discovery, and many others and also offers a precise diagnosis of patient health status, augmenting the artificial intelligence (AI) in HIV and AIDS industry demand in the forecasting years.


Based on the tool, the machine learning segment is dominating the global artificial intelligence (AI) in HIV and AIDS industry with the highest revenue shares owing to the growing adoption of these technologies in healthcare settings, coupled with the increasing R&D activities for the advancements of ML is leading the segment growth.


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AIDS prevalence among the population is a significant health concern, which is directly associated with the industry demand. The increasing patient poll of HIV patients leads to the surging demand for advanced intelligence technologies for HIV diagnostics. For instance, in 2016, nearly 36 million people were diagnosed with HIV around the world, subsequentially in which 2.1 million new cases were accounted with HIV infections as per the World Health Organization (WHO). Similarly, according to, in 2020, around 37.7 million people had HIV, with 1.5 million new cases. Thereby, raising the occurrence of HIV is propelling the industry demand globally.


Market participants such as Google Inc., Johnson & Johnson Services Inc., Microsoft Corporation, Siemens Healthineers AG, Intel Corporation, Koninklijke Philips N.V., General Electric Healthcare, Medtronic plc, Amazon Web Services, IBM, General Vision Inc., and NVIDIA Corporation are some of the key players operating in the global market.


The frequent tactical movements such as mergers & acquisitions, product developments & launches, and others by the prominent industry players support global artificial intelligence (AI) in HIV and AIDS industry development. For instance, in January 2022, Brown University was honored by the National Institutes of Health honor Brown University and granted USD 4.6 million for encouraging the adoption of machine learning (ML) to enhance the outcomes of patients.


Polaris Market Research has segmented the Artificial Intelligence (AI) in HIV/AIDS market report on the basis of tools, data, types of algorithms, and region:


AI in HIV/AIDS, Tool Outlook (Revenue - USD Million, 2018 - 2030)

  • Machine Learning
  • Natural Language Processing
  • Image Processing
  • Speech Recognition
  • Others

AI in HIV/AIDS, Data Outlook (Revenue - USD Million, 2018 - 2030)

  • Patient Data
  • Insurance Information
  • Hospital Stay

AI in HIV/AIDS, Types of Algorithm Outlook (Revenue - USD Million, 2018 - 2030)

  • Artificial Neural Networks
  • Deep Learning
  • Others

AI in HIV/AIDS, Regional Outlook (Revenue - USD Million, 2018 - 2030)

  • North America
    • U.S.
    • Canada
  • Europe
    • France
    • Germany
    • UK
    • Italy
    • Netherlands
    • Spain
    • Austria
  • Asia Pacific
    • China
    • India
    • Japan
    • Malaysia
    • South Korea
    • Indonesia
  • Latin America
    • Mexico
    • Brazil
    • Argentina
  • Middle East & Africa
    • UAE
    • Saudi Arabia
    • Israel
    • South Africa

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