AI in HIV/AIDS Market Size, Share & Trends Analysis Report By Tools, By Application, By End-User, By Region And Segment Forecasts 2026 – 2035

AI in HIV/AIDS refers to the application of artificial intelligence technologies, such as machine learning and natural language processing, to enhance diagnostics, treatment, prevention, and management of HIV/AIDS through data analysis and predictive modeling.

Key factors include rising HIV prevalence, advancements in AI technologies, increasing healthcare investments, government initiatives for digital health, and collaborations between tech and pharma sectors.

The market is projected to grow from USD 0.35 billion in 2025 to USD 0.80 billion by 2035.

The CAGR is expected to be 8.6% during the forecast period.

North America will contribute notably, driven by advanced infrastructure and high R&D funding.

Major players include IBM, Google DeepMind, OpenAI, Roche, and Microsoft.

The report provides comprehensive analysis, including market size, trends, segmentation, regional insights, key players, and forecasts.

Stages include data collection, AI model development, integration into healthcare systems, deployment, and ongoing monitoring and updates.

Trends are shifting towards personalized AI solutions and telemedicine, with preferences for accessible, privacy-focused tools.

Factors include data privacy regulations like GDPR and HIPAA, ethical AI guidelines, and funding for sustainable health tech in high-prevalence regions.