Artificial Intelligence (AI) in Healthcare Market Competitive landscape and Key Vendors, Forecast by 2025 KSU | The Sentinel Newspaper – KSU | The…

According to the findings of this business intelligence study, the demand forartificial intelligence in healthcare sectoracross the globe will increase at an exuberant CAGR during the forecast period of 2017 to 2025. This report has been developed by healthcare IT professionals and aspires to serve as a credible business tool for targeted audiences such as healthcare software vendors, chipset companies, technology providers, doctors and hospitals, software solution providers, artificial intelligence system providers, and venture capitalist.

The report includes comprehensive and figurative assessment of the demand potential of various market segments, analyzes various impacting factors including trends, drivers, and obstructions, and takes stock of the demand that can be expected out of different countries and regions. The report also contains a featured chapter on the competitive landscape.

Artificial Intelligence (AI) in Healthcare Market: Trends and Opportunities

Greater new possibilities with big data, ability of AI to enhance patient care, strong imbalance between the pool of patients and healthcare professionals, and possibilities of reducing medical costs are some of the key factors expected to augment the demand for AI in the healthcare sector. Additionally, growing importance of precision medicine, increasing number of cross-industry collaborations, consistent inflow of venture capital investments, and increasing geriatric population are some of the other factors that are expected to reflect positively over this market.

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On the other hand, reluctance of medical practitioners in adopting new technologies, strong lack of a preset and universal regulatory guidelines, lack of curated healthcare data, and concerns of data privacy are curtailing the market from attaining higher grounds.

Technology-wise, the artificial intelligence (AI) in healthcare market can be segmented into querying method, deep learning, context aware processing, and natural language processing, whereas application-wise, artificial intelligence (AI) in healthcare marketcan be bifurcated into wearables, virtual assistant, research and drug discovery, in-patient care and hospital management, medical imaging and diagnosis, precision medicine, lifestyle management and monitoring, and patient data and risk analysis.

Artificial Intelligence (AI) in Healthcare Market: Regional Analysis

The developed country of the U.S., which readily adopts new technology and houses a number of pioneering companies, is expected to maintain North America are the region with maximum demand potential, with little but significant demand added by Canada. While the European region is another key region for the vendors of artificial intelligence (AI) in healthcare market, emerging economies of Japan, South Korea, China, and India are expected to provide for decent demand over the course of the aforementioned forecast period.

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The EIRS quadrant framework in the report sums up our wide spectrum of data-driven research and advisory for CXOs to help them make better decisions for their businesses and stay as leaders.

Below is a snapshot of these quadrants.

1. Customer Experience Map

The study offers an in-depth assessment of various customers journeys pertinent to the market and its segments. It offers various customer impressions about the products and service use. The analysis takes a closer look at their pain points and fears across various customer touchpoints. The consultation and business intelligence solutions will help interested stakeholders, including CXOs, define customer experience maps tailored to their needs. This will help them aim at boosting customer engagement with their brands.

2. Insights and Tools

The various insights in the study are based on elaborate cycles of primary and secondary research the analysts engage with during the course of research. The analysts and expert advisors at TMR adopt industry-wide, quantitative customer insights tools and market projection methodologies to arrive at results, which makes them reliable. The study not just offers estimations and projections, but also an uncluttered evaluation of these figures on the market dynamics. These insights merge data-driven research framework with qualitative consultations for business owners, CXOs, policy makers, and investors. The insights will also help their customers overcome their fears.

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Artificial Intelligence (AI) in Healthcare Market Competitive landscape and Key Vendors, Forecast by 2025 KSU | The Sentinel Newspaper - KSU | The...

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