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AI in Healthcare Market Technology & Competitive Landscape Report with Focus on Key Markets and Methods – AMR

The global AI in healthcare market is experiencing significant growth, driven by the increase in healthcare data volume and the complexity of datasets. In 2020, the software segment held the largest market share, contributing to two-thirds of the total share. It is projected to maintain this lead throughout the forecast period, while the hardware segment is expected to see the fastest compound annual growth rate (CAGR) of 38.1% from 2021 to 2030.

Within the market, the natural language processing segment dominated in 2020, accounting for nearly half of the global AI in healthcare market share and is expected to continue leading in the future. On the other hand, the deep learning segment is forecasted to exhibit the highest CAGR of 41.7% from 2021 to 2030.

Key players in the global AI in healthcare market include Intel Corporation, Welltok, Inc., Google Inc., IBM Corporation, Nvidia Corporation, Microsoft Corporation, General Vision, Inc., Next IT Corporation, Enlitic, Inc., and iCarbonX. North America held the highest market share in 2020 and is expected to maintain dominance, while Asia-Pacific is projected to demonstrate the fastest CAGR of 44.5% during the forecast period.

The use of AI tools in healthcare has been instrumental in detecting and diagnosing COVID-19, as well as expediting vaccine and drug development processes. Factors driving the growth of the global AI in healthcare market include advancements in computing power, reduced hardware costs, increased cross-industry collaborations, partnerships, and the growing disparity between healthcare workforce and patients. The rise of advanced hardware systems is expected to enhance the efficiency and effectiveness of AI software, creating opportunities for market players.

In conclusion, the global AI in healthcare market is poised for significant growth, with various segments and regions contributing to its expansion. The market is driven by advancements in technology, increased data availability, and the need for more efficient healthcare solutions. The future of AI in healthcare looks promising, with continued innovation and development in the industry.

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