Artificial Intelligence In Healthcare Market: A Look at Global Growth and Insights

The global AI in healthcare market size is expected to reach USD 187.7 billion by 2030, registering a CAGR of 38.5% from 2024 to 2030, according to a new report by Grand View Research, Inc. AI acts as a transformative force in healthcare systems, shifting them from reactive to proactive, predictive, and preventive models. Clinical decision support systems, fueled by artificial intelligence (AI), empower physicians and healthcare professionals with predictive and real-time analytics, enhancing decision-making and elevating care quality, ultimately resulting in improved patient outcomes. Furthermore, AI facilitates a comprehensive understanding of disease biology and patient pathology, advancing precision medicine and precision public health initiatives.

Furthermore, the growing field of life sciences R&D opens numerous opportunities for market growth, with AI's ability to process vast volumes of multidimensional data playing a crucial role. This capability accelerates the generation of novel hypotheses, expedites drug discovery and repurposing processes, and significantly reduces costs and time to market through the utilization of in silico methods. In essence, AI drives innovation and efficiency across the healthcare sector, revolutionizing healthcare delivery worldwide. AI-based technologies are implemented in various healthcare domains, including virtual assistants, robot-assisted surgeries, claims management, cybersecurity, and patient management.

Gather more insights about the market drivers, restrains and growth of the Artificial Intelligence In Healthcare Market

AI In Healthcare Market Report Highlights

• The software solutions component segment dominated the global market in 2023 with the largest revenue share of 46.3%. This large share is attributed to the widespread adoption of AI-based software solutions among care providers, payers, and patients

• The robot-assisted surgery application segment dominated the market in 2023 with the largest revenue share and it is anticipated to witness the fastest CAGR from 2024 to 2030

• A rise in the volume of robot-assisted surgeries and increased investments in the development of new AI platforms are a few key factors supporting the penetration of AI in robot-assisted surgeries

• The machine learning (ML) technology segment held the largest share in 2023 as a result of advancements in ML algorithms across various applications. This trend is expected to continue due to the increasing demand for ML technologies

• The healthcare payers end-use segment is anticipated to experience the fastest CAGR from 2024 to 2030

• In 2023, North America dominated the industry and held the largest share of over 45% owing to advancements in healthcare IT infrastructure, readiness to adopt advanced technologies, presence of several key players, growing geriatric population, and rising prevalence of chronic diseases

• In Asia Pacific, the market is anticipated to witness significant growth over the forecast period

Browse through Grand View Research's Healthcare IT Industry Research Reports.

• The global identity and access management in healthcare market size was estimated at USD 1.4 billion in 2023 and is estimated to grow at a CAGR of 17.4% from 2024 to 2030.

• The global digital health for musculoskeletal care market size was estimated at USD 3.8 billion in 2023 and is projected to grow at a CAGR of 17.4% from 2024 to 2030.

AI In Healthcare Market Segmentation

Grand View Research, Inc. has segmented the global AI in healthcare market on the basis of component, application, technology, end-use, and region:

Artificial Intelligence (AI) In Healthcare Component Outlook (Revenue, USD Million, 2018 - 2030)

• Hardware

o Processor

o MPU (Memory Protection Unit)

o FPGA (Field-programmable Gate Array)

o GPU (Graphics Processing Unit)

o ASIC (Application-specific Integrated Circuit)

o Memory

o Network

o Adapter

o Interconnect

o Switch

• Software Solutions

o AI Platform

o Application Program Interface (API)

o Machine Learning Framework

o AI Solutions

o On-premise

o Cloud-based

• Services

o Deployment & Integration

o Support & Maintenance

o Others (Consulting, Compliance Management, etc.)

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