Artificial Intelligence (AI) In Healthcare Market Size is to Expected to Reach US $ 99.491 Billion at a 48.7% CAGR by Forecast Period 2021 to 2027
Pune, Maharashtra, India, February 12 2021 (Wiredrelease) Allied Analytics –:Advancements in AI systems for enhanced AI capabilities, dearth of skilled workforce, and increase in applications of innovative screening methods drive the growth of the market. However, limitations related to decision making and low acceptance rate due to risk of misinterpretation and injuries hamper the market growth. On the other hand, technological advancements and untapped potential in developing economies would create new opportunities for the market.
“AI in healthcare Market by Offering, Algorithm, Application and End User: Opportunity Analysis and Industry Forecast, 2019–2027,”the AI in healthcare market was valued at $4,836.87million in 2019 and is projected to reach $99,491.58 million by 2027, registering a CAGR of 42.8% from 2020 to 2027.
Request Sample Report at: https://www.alliedmarketresearch.com/request-sample/2421
Software segment to maintain its lion’s share throughout the forecast period:-
Software segment contributed nearly two-thirds of the total market share in 2017 and is expected to maintain its lion’s share throughout the forecast period. This is due to its ability to offer early diagnosis and facilitate accurate & quality treatment. However, the hardware segment would register the fastest CAGR of 49.7% from 2018 to 2023, owing to the launch of innovative advanced hardware systems that offer improved efficiency. The services segment would witness steady growth during the forecast period.
Natural language processing segment to remain dominant through 2027;-
Natural language processing segment accounted for nearly half of the total market share in 2017, owing to improvements in interaction between human and machines using AI applications. This segment would continue its dominance through 2025. However, the deep learning segment would grow at the highest CAGR of 52.0% from 2018 to 2023, owing to the rise in awareness about this technology in the healthcare sector. The report also analyzes the querying method and context aware processing segments.
Robot assisted surgery segment to lead in terms of revenue by 2027:-
Robot assisted surgery segment contributed more than one-fourth of the total share in terms of revenue in 2017, and would continue to retain its lion’s share through 2025. This is due to the improved precision of this technology to perform complex surgeries. However, the dosage error reduction segment would experience the highest CAGR of 50.3% from 2018 to 2023, owing to the warnings issued regarding calculation errors, incorrect medication orders, or mis-programming to prevent under- or over-delivery of a drug, electrolyte, or other fluids. The report also analyzes various applications such as virtual nursing assistant, administrative workflow assistance, fraud detection, clinical trial participant identifier, preliminary diagnosis, and others.
Get detailed COVID-19 impact analysis on the Artificial Intelligence (AI) In Healthcare Market@ https://www.alliedmarketresearch.com/request-for-customization/2421?reqfor=covid
Healthcare providers segment to remain dominant by 2027:-
Healthcare providers segment held a major share in 2019, contributing more than half of the total market revenue, owing to the rise in demand for information accuracy for patient safety, improvement in clinical outcomes, increase in aid reforms, and efforts to curb expenditure. This segment would remain dominant through 2025. However, the pharmaceuticals & biotechnology companies segment would register the highest CAGR of 48.7% from 2020 to 2027, owing to rise in the success rate of clinical trials and reduction in trial costs. The research also analyzes other end users, including patients and payers.
North America to lead in terms of revenue by 2027:-
North America contributed nearly half of the total market share in 2017, owing to rise in adoption of AI technology, increased collaborations among market players, and surge in R&D activities. This region will continue to lead during the forecast period. However, Asia-Pacific region would grow at the fastest CAGR of 53.4% from 2018 to 2025, owing to the limited availability of skilled professionals in rural regions and heavy inflow of investments for advancement of AI technology.
Key findings of the study:-
– By offerings, the software segment occupied 64.4% share of the AI in healthcare market in 2019.
– By algorithm, the natural language processingsegment is anticipated to grow with the highest CAGR throughout the forecast period.
– By region, the Asia-Pacific AI in healthcare market is anticipated to experience growth at 48.0% during the forecast period.
For Purchase Enquiry: https://www.alliedmarketresearch.com/purchase-enquiry/2421
Frontrunners in the industry :-
The leading market players analyzed in the research include Welltok, Inc., Nvidia Corporation, Intel Corporation, IBM Corporation, Google Inc., General Vision, Inc., Microsoft Corporation, Next IT Corporation, Enlitic, Inc., and iCarbonX. Various strategies including joint ventures, collaborations, expansions, partnerships, mergers & acquisitions, and others have been adopted by the market players to gain a strong position in the industry.
Similar Reports With COVID-19 Impact:
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
This content has been published by Allied Analytics company. The WiredRelease News Department was not involved in the creation of this content. For press release service enquiry, please reach us at firstname.lastname@example.org.