DUBLIN--(BUSINESS WIRE)--The "Global Artificial Intelligence (AI) in Healthcare Market Research and Forecast 2018-2023" report has been added to ResearchAndMarkets.com's offering.
Artificial intelligence has penetrated extensively across all possible verticals from financial services to manufacturing and healthcare vertical is no exception. Due to technological advancement, the scope of application of artificial intelligence in care-based applications has widened across the globe. The Artificial Intelligence in Healthcare Market is expected to see a tremendous growth during the forecast period. AI has capabilities to deliver advanced care-related information to physicians to make informed decisions to personalized real-time treatment.
Global AI in healthcare market is expected to grow rapidly due to the several benefits of artificial intelligence technology such as error reduction and digital assistants. Major driver involved in the growth of the market is availability of options to have customized training for trainees and reduction in time and cost associated with research.
Other factors that are augmenting the growth of the market include demand for early and accurate detection of diseases, increase in ageing population requires more medical attention and increasing technological advancement such as early decision making. Lack of relevant data and security concerns are the major factor hampering the market growth. However, growing number of start-up due to substantial increase in venture capital investments along with emerging markets such as India, China, and Brazil are expected to fuel the market growth in the near future.
Some of the key players operating in the global AI in healthcare market Are Arterys, Atomwise, Inc., Bay Labs, Inc., Biobeats, Butterfly Network Inc., Careskore, Cloudmedx Inc., Crosschx, Inc., Deep Genomics, Desktop Genetics Ltd. And Dreamed Diabetes, Ltd. In order to sustain in the competitive market, these players adopt various strategies such as acquisitions, mergers, expansions, joint ventures, and product development, among others. For instance, in 2017, GE Healthcare has partnered with Nvidia to fast-track artificial intelligence adoption in healthcare and with Intel to boost digital imaging.
Key Topics Covered:
1. Report Summary
1.1. Research Methods And Tools
1.2. Market Breakdown
1.2.1. By Segments
1.2.2. By Geography
1.2.3. By Stakeholders
2. Market Overview And Insights
2.1. Market Definition
2.2. Analyst Insights & Current Market Trends
2.2.1. Key Findings
2.2.2. Recommendation
2.2.3. Conclusion
2.3. Regulations
2.3.1. United States
2.3.2. China
2.3.3. India
2.3.4. Japan
3. Market Determinant
3.1. Motivators
3.1.1. Demand For Early And Accurate Detection Of Diseases
3.1.2. Increase In Ageing Population Requires More Medical Attention
3.1.3. Availability Of Options To Have Customised Training For Trainees
3.1.4. Reduction In Time And Cost Associated With Research
3.1.5. Increasing Technological Advancement Such As Early Decision Making
3.2. Restraints
3.2.1. Lack Of Relevant Data
3.2.2. Security Concerns
3.3. Opportunities
3.3.1. Growing Number Of Start-Ups
3.3.2. Significant Opportunities In Emerging Markets Such As India, China, And Brazil
3.3.3. Substantial Increase In Venture Capital Investments
4. Market Segmentation
4.1. Ai In Healthcare Market By End User
4.1.1. Hospitals And Healthcare Facilities
4.1.2. Personal Care
4.1.3. Biotechnology And Pharmaceutical Companies
4.2. Ai In Healthcare Market By Technology
4.2.1. Classical Machine Learning
4.2.2. Deep Learning
4.2.3. Natural Learning Process
4.3. Ai In Healthcare Market By Product Offered
4.3.1. Software
4.3.2. Hardware
4.3.3. Service
4.4. Ai In Healthcare Market By Application
4.4.1. Diagnosis
4.4.2. Biomarkers
4.4.3. Virtual Nursing Assistance
4.4.4. Remote Monitoring Of Patients
4.4.5. Drug Discovery
4.4.6. Ai-Enabled Hospital Care
5. Competitive Landscape
5.1. Market Share Analysis
5.2. Key Company Analysis
6. Regional Analysis
7. Company Profiles
For more information about this report visit https://www.researchandmarkets.com/research/rnjwxs/global_artificial?w=4
