Artificial Intelligence in Healthcare Diagnosis Market - Latest Report with Forecast to 2027

The artificial intelligence (AI) in healthcare diagnosis market was valued at US$ 3,639.02million in 2019 and is projected to reach US$ 66,811.97 million by 2027; it is expected to grow at a CAGR of 44.0% during 2020-2027.

The growth of the market is mainly attributed to factors such rising adoption of AI in disease identification and diagnosis, and increasing investments in AI healthcare startups. However, the lack of skilled workforce and ambiguity in regulatory guidelines for medical software are the factor hindering the growth of the market.

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Leading Players in the Artificial Intelligence in Healthcare Diagnosis Market: General Electric Company, Aidoc, Arterys, Icometrix, IDx Technologies, MaxQ AI Ltd., Caption Health, Zebra Medical Vision, Siemens Healthineers AG, Koninklijke Philips N.V

The Artificial Intelligence in Healthcare Diagnosis market analysis is intended to provide all participants and vendors with pertinent specifics about growth aspects, roadblocks, threats, and lucrative business opportunities that the market is anticipated to reveal in the coming years. This intelligence study also encompasses the revenue share, market size, market potential, and rate of consumption to draw insights pertaining to the rivalry to gain control of a large portion of the market share.

Competitive landscape:

The Artificial Intelligence in Healthcare Diagnosis Industry is extremely competitive and consolidated because of the existence of several established companies that are adopting different marketing strategies to increase their market share. The vendors engaged in the sector are outlined based on their geographic reach, financial performance, strategic moves, and product portfolio. The vendors are gradually widening their strategic moves, along with customer interaction.

Artificial Intelligence in Healthcare Diagnosis Market Segmented by Region/Country: US, Europe, China, Japan, Middle East & Africa, India, Central & South America

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Points Covered in the Report:

1. The pivotal aspects considered in the Global Artificial Intelligence in Healthcare Diagnosis Market report consist of leading competitors functioning in the global market.
2. The report encompasses company profiles prominently positioned in the global market.
3. The sales, corporate strategies, and technological capabilities of leading manufacturers are also mentioned in the report.
4. The driving factors for the growth of the Global Artificial Intelligence in Healthcare Diagnosis Market are explained exhaustively, along with an in-depth account of the end users in the industry.
5. The report also explains critical application areas of the global market to readers/users.
6. The report undertakes a SWOT analysis of the market. In the final section, the report features the opinions and views of industry experts and professionals. The experts also evaluate the export/import policies that might propel the growth of the Global Artificial Intelligence in Healthcare Diagnosis Market.
7. The report on the Global Artificial Intelligence in Healthcare Diagnosis Market delivers valuable information for policymakers, investors, stakeholders, service providers, producers, suppliers, and organizations operating in the industry and looking to purchase this research document.

Reasons for Buying Artificial Intelligence in Healthcare Diagnosis Market Report:

• The report performs an analysis of the dynamic competitive landscape that can help the reader/client move ahead in the global market.
• It also presents an in-depth view of different factors driving or restraining the growth of the global market.
• The Global Artificial Intelligence in Healthcare Diagnosis Market report provides a five-year forecast derived on the basis of the potential growth of the market.
• It helps formulate profitable business decisions by offering thorough insights into the global market and by creating a comprehensive analysis of pivotal market segments and subsegments.

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This release was published on openPR.