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The healthcare artificial intelligence market is expected to grow at a CAGR of 40.41%, reaching a market size of US$106.756 billion in 2029 from US$19.563 billion in 2024.
AI in healthcare is the application of artificial intelligence (AI) technologies and methodologies to enhance patient care, diagnosis, treatment, and overall operations within the healthcare industry. Continuous digitization of healthcare is the major factor driving the healthcare artificial intelligence market's growth. This growth can also be attributed to increased investments in AI by pharmaceutical and MedTech companies interested in improving their operational efficiency.
AI makes early disease detection and diagnosis possible, which significantly helps medical practitioners. There are several reasons why the healthcare AI market is expanding at a very fast rate: the rising application of precision medicine, more emphasis on big data within healthcare service provision, a need for optimizing healthcare spending, and low hardware prices.
AI has been rapidly changing the global healthcare sector in recent years. It has introduced previously unheard-of patient care, diagnosis, and treatment resources. In response to this increasing demand, healthcare providers are concentrating on technological developments that improve the identification and management of various clinical indications. In addition, several technologies, including virtual assistants, can be used to track patient health and send medication alerts, provide e-consultations, change patient symptom checking, and much more to enhance patient care. For example, "NVIDIA AI Enterprise," a new artificial intelligence tool from NVIDIA Corporation, aids in visualizing AI workload on NVIDIA Certified systems.
Healthcare Artificial Intelligence Market Geographical Outlook
In the upcoming years, the healthcare AI market in Asia Pacific is expected to grow significantly. This growth is propelled by several factors, including fast technological advancements in information systems and an increase in companies based on artificial intelligence. Adoption rates within the region are typically driven by rising investments from private investors and venture capitalists whose objectives include improving clinical outcomes, enhancing data security and analysis, and cutting costs. Additionally, positive government initiatives encourage and support health practitioners' adoption of AI-based technologies; such measures are likely to spur further market expansion.
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