Artificial Intelligence in Medicine Market Size & Share Analysis - Growth Trends & Forecasts (2024–2029)
The Artificial Intelligence in Medicine Market is anticipated to experience a 25.83% CAGR from 2024 to 2029, with an estimated market size of USD 11.66 billion in 2024, expected to reach USD 36.79 billion by 2029. This growth is propelled by various factors including the global rise in geriatric population, lifestyle changes, and increased prevalence of chronic illnesses necessitating improved disease diagnosis at early stages.
Multiple factors contribute to the market surge, such as the need for more effective data handling in healthcare, cost optimization, expanding public-private partnerships, and rising healthcare expenditures worldwide. Moreover, opportunities in geriatric care, AI-assisted imaging, diagnostics, and research data generation are foreseen to drive the market forward. Notably, the Indian government allocated USD 10.76 billion to the Ministry of Health and Family Welfare in the Union Budget 2023–24.
AI significantly benefits small-molecule drug discovery by enabling new biological insights, higher success rates, enhanced or unique chemistry, and quicker and cost-effective discovery procedures. Notably, FDA approvals witnessed a surge, with 33 of the 50 novel medications approved being small molecules and the rest being biological products, indicating a growth driver for the market.
The digital revolution has brought a significant transformation to the healthcare sector, with innovations facilitating improved care delivery and system performance. The integration of new technologies like AI, IoT, and ML lays the groundwork for a consumer-driven healthcare model. Initiatives such as Dartmouth's Center for Precision Health and Artificial Intelligence (CPHAI) focus on leveraging AI and biomedical data for precision medicine and healthcare improvements, further driving market growth.
AI's integration into healthcare services and administrative procedures is revolutionizing patient care across payer, provider, and pharmaceutical organizations. Investments in AI offer transformative opportunities in life sciences; however, early-stage investment poses risks due to substantial cash injections required for R&D and specialist expertise.
The COVID-19 pandemic emphasized the need for novel techniques in early disease isolation, diagnosis, and treatment. AI, supported by multimodal data, played a pivotal role in providing advanced applications for disease identification, treatment, and target recognition during the pandemic.
Market Trends:
Patient Management Application Growth
Patient management applications streamline administrative tasks, maintaining patient records and improving practice efficiency. The increasing availability of electronic health data, coupled with AI and machine learning techniques, holds immense potential to provide cost-effective and superior healthcare services.
Smart wearables contribute significantly to healthcare transformation, monitoring heart rate, blood pressure, and step counts. AI processes and analyzes this data swiftly, offering interactive feedback and enhancing the capability to assess and interpret diverse health metrics.
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