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Ai in Medical Diagnostics Market : Key Players, SWOT Analysis, Key Indicators and Forecast 2025
Ai in Medical Diagnostics Market : Key Players, SWOT Analysis, Key Indicators and Forecast 2025
Furthermore, the healthcare sectors in emerging economies, such as India and China, are rapidly growing, resulting in the introduction of new medical technologies with a special focus on advanced imaging equipment. All these factors, coupled with the growing population in these countries, are expected to increase the medical imaging data volumes in their respective healthcare systems. This provides a great untapped development opportunity for AI-based solutions in emerging countries.

The growing awareness of the benefits offered by AI techniques and their wide application areas has led to the increased adoption of these products and services in the healthcare market. Various leading companies in the healthcare market are entering into partnerships and collaborations with leading AI technology providers to come up with innovative AI-based solutions for applications in healthcare. 

Due to the growing demand for novel AI-based techniques in the medical diagnostics market, such developments are helping companies gain momentum in terms of developing advanced products and tools.

Currently, many healthcare professionals have doubts about the capabilities of AI solutions in terms of accurately diagnosing patient conditions. Considering this, it is challenging to convince providers that AI-based solutions are cost-effective, efficient, and safe solutions that offer convenience to doctors as well as better care for patients. 

However, healthcare providers are increasingly accepting the potential benefits of AI-based solutions and the spectrum of applications they serve. Hence, there is a possibility that in the coming years, doctors and radiologists will show more inclination toward AI-based technologies in healthcare. 

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Emerging markets such as India, China, and Brazil are expected to offer significant growth opportunities for players operating in the AI in medical diagnostics market. This can majorly be attributed to the rising patient population in these countries. According to the National Institute of Health and Family Welfare (NIHFW), in India, it is estimated that there are 2 to 2.5 million cancer patients at any given point of time; every year, about 0.7 million new cases are reported in the country. 

All these factors, coupled with the growing population in these countries, are expected to increase the medical imaging data volumes in their respective healthcare systems. This provides a great untapped development opportunity for AI-based solutions in emerging countries. 

Ai in Medical Diagnostics Market : Key Players, SWOT Analysis, Key Indicators and Forecast 2025

[172 Pages Report] The global AI in medical diagnostics market is projected to reach USD 3,868 million by 2025 from USD 505 million in 2020, at a CAGR of 50.2% during the forecast period. Growth in this market is primarily driven by government initiatives to increase the adoption of AI-based technologies, increasing demand for AI tools in the medical field, growing focus on reducing the workload of radiologists, influx of large and complex datasets, growth in funding for AI-based start-ups, and the growing number of cross-industry partnerships and collaborations. 

The global AI in medical diagnostics market has been segmented into North America, Europe, the Asia Pacific (APAC), and the Rest of the World (RoW). In 2019, North America accounted for the largest market share of 37.6%. However, the APAC  market is projected to register the highest CAGR of 53.2% during the forecast period.

Some of the prominent players operating in the AI in medical diagnostics market are Microsoft Corporation (US), NVIDIA (US), IBM (US), Intel (US), Siemens Healthineers (Germany), GE Healthcare (US), Digital Diagnostics (US), Xilinx (US), InformAI (US), Enlitic (US), Day Zero Diagnostics (US), Aidence (Netherlands), Butterfly Network, Inc. (US), Prognos (US), Zebra Medical Vision (Israel), Viz.ai (US), Quibin (Spain), Qure.ai (India), Therapixel (France), and HeartFlow (US).