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Artificial Intelligence—Top 10 Applications in Healthcare, Global, 2018–2022
Artificial Intelligence—Top 10 Applications in Healthcare, Global, 2018–2022
Exploring Key Investment Trends, Companies-to-Action, and Growth Opportunities for AI in the Healthcare Industry
26-Apr-2019
Global
$1,500.00
Special Price $1,125.00 save 25 %
Description
Artificial intelligence (AI) is exhibiting real promise across multiple industries. The healthcare industry is leading the charge when it comes to focused AI application development and attracting AI investment globally. With improvements in healthcare data acquisition and computing power, AI is becoming more of a reality each day. Frost & Sullivan projects that AI and machine learning (ML) will further evolve human and machine interaction across several so far known and probably not well-known applications in healthcare. In the short term (the next 12 to 18 months), the priority will be to bring AI/cognitive platform technology use cases closer to clinical care to augment physicians and even patients with actionable decision-making ability. In particular, AI will begin to see fruition in the imaging diagnostic and drug discovery applications. In the next 2-3 years, AI will become a common theme across all digital initiatives and platforms. Moving forward, as clinicians start to embrace early AI applications, the healthcare industry will start to recognize the limitations of AI and explore the balance between machine-human intelligence. However, pricing for AI solutions remains a critical issue as end-users are often not convinced enough to dedicate an additional budgets for such IT capabilities. A cost-effective approach with clear evidence for potential return on investment (ROI) for both parties can help sustain market growth.
Research Scope
As part of the Growth Opportunities (GO) research process, Frost & Sullivan analysts review the emerging application of AI across focused healthcare application areas by analyzing future industry needs, investment trends, market readiness, and the evolving vendor ecosystem in the healthcare AI space. The main purpose of this study is to analyze and call out major growth opportunities for AI applications in the healthcare industry. Frost & Sullivan performed a qualitative factor analysis by evaluating critical attributes to identify and assess the top 10 AI applications in the healthcare space. This study provides a high-level market overview and investment trends for identified AI applications in the healthcare industry. It, however, does not provide any forecasts for the AI application market for healthcare.
This study analyzes over 250 global companies which are active in providing AI solutions for healthcare applications. Additionally, it provides an assessment of the emerging AI vendor ecosystem and also a capability profile for select Companies to Action across the identified top 10 application areas of AI in the healthcare industry. Amongst these, we identified market disruptors, including both start-ups and established enterprises, which have the potential to shape future application growth. Finally, the study summarizes key success factors and strategic imperatives for healthcare stakeholders.
Key Issues Addressed
- What are the Top 10 areas in healthcare which are ripe for innovation and which could change healthcare using AI and data?
- What are the unique companies that are introducing innovative AI solutions for focused healthcare applications? What are the select Companies-to-Action by major AI application areas?
- What are the immediate lucrative growth opportunities and future cost savings potential for AI applications across major healthcare stakeholders?
- What are the global and regional funding trends for major AI applications in healthcare?
- What are the critical success factors, challenges, and strategic imperatives for considering AI applications in the healthcare space?
- How will the future vendor ecosystem for AI applications in the healthcare industry look like?
Author: Kamaljit Behera
Table of Contents
Key Findings
Study Scope and Segmentation
Key Questions this Study will Answer
Healthcare AI Opportunity Assessment Framework
Healthcare AI Funding Analysis: 2012–2018
Top 5 Growth Opportunities—AI in Healthcare
Value Chain Analysis by Major Stakeholder and Application Focus
Strategic Imperatives for AI Application in Healthcare
Evolution of Data in Healthcare
Healthcare Data Sources and Economy
Role of AI and Analytics in Healthcare Data Ecosystems
Key Trends—Impact of Major Market Influencers
AI in Healthcare—Timeline for Adoption
Healthcare AI Opportunities across Major Stakeholders
AI Application in Healthcare—Potential Cost-Saving Opportunities
Healthcare AI Opportunity Assessment Framework
Healthcare AI Application Areas
Healthcare AI Application Areas (continued)
Healthcare AI Application Areas (continued)
Healthcare AI Funding Analysis (2012–2018)—By Major Use Cases
Healthcare AI Funding Analysis (2012–2018)—By Geographic Region
AI Product Breakdown by Disease Categories and Application Areas
Top 10 AI Applications in Healthcare—Select Vendor Ecosystem
Drug Discovery and Research—Companies to Watch
Medical Imaging and Diagnostics—Companies to Watch
Clinical Decision Support System—Companies to Watch
Clinical Decision Support System—Companies to Watch (continued)
Predictive Insight and Risk Analytics—Companies to Watch
Lifestyle Management and Monitoring—Companies to Watch
Lifestyle Management and Monitoring—Companies to Watch (continued)
Wearables/Sensor Data Insight—Companies to Watch
Wearables/Sensor Data Insight—Companies to Watch (continued)
Chronic Condition Management—Companies to Watch
Chronic Condition Management—Companies to Watch (continued)
Virtual Assistance—Companies to Watch
Virtual Assistance—Companies to Watch (continued)
Mental Health—Companies to Watch
Mental Health—Companies to Watch (continued)
Emergency Room and Surgery—Companies to Watch
Emergency Room and Surgery—Companies to Watch (continued)
Types of Revenue Generators in AI for Healthcare Applications
AI Convergence Potential with Emerging Technologies
Critical Challenges and Imperatives for Healthcare AI Initiatives
Key Conclusions—Five Industry Needs Critical for Future Strategies
3 Big Predictions
Legal Disclaimer
Major Global Tech Companies with Healthcare AI Solutions
Major Healthcare IT Companies with AI Solutions
Other Key New Companies in the AI Space
Other Key New Companies in the AI Space (continued)
List of Exhibits
List of Exhibits (continued)
The Frost & Sullivan Story
Value Proposition—Future of Your Company & Career
Global Perspective
Industry Convergence
360º Research Perspective
Implementation Excellence
Our Blue Ocean Strategy
Popular Topics
Research Scope
As part of the Growth Opportunities (GO) research process, Frost & Sullivan analysts review the emerging application of AI across focused healthcare application areas by analyzing future industry needs, investment trends, market readiness, and the evolving vendor ecosystem in the healthcare AI space. The main purpose of this study is to analyze and call out major growth opportunities for AI applications in the healthcare industry. Frost & Sullivan performed a qualitative factor analysis by evaluating critical attributes to identify and assess the top 10 AI applications in the healthcare space. This study provides a high-level market overview and investment trends for identified AI applications in the healthcare industry. It, however, does not provide any forecasts for the AI application market for healthcare.
This study analyzes over 250 global companies which are active in providing AI solutions for healthcare applications. Additionally, it provides an assessment of the emerging AI vendor ecosystem and also a capability profile for select Companies to Action across the identified top 10 application areas of AI in the healthcare industry. Amongst these, we identified market disruptors, including both start-ups and established enterprises, which have the potential to shape future application growth. Finally, the study summarizes key success factors and strategic imperatives for healthcare stakeholders.
Key Issues Addressed
- What are the Top 10 areas in healthcare which are ripe for innovation and which could change healthcare using AI and data?
- What are the unique companies that are introducing innovative AI solutions for focused healthcare applications? What are the select Companies-to-Action by major AI application areas?
- What are the immediate lucrative growth opportunities and future cost savings potential for AI applications across major healthcare stakeholders?
- What are the global and regional funding trends for major AI applications in healthcare?
- What are the critical success factors, challenges, and strategic imperatives for considering AI applications in the healthcare space?
- How will the future vendor ecosystem for AI applications in the healthcare industry look like?
Author: Kamaljit Behera
| No Index | No |
|---|---|
| Podcast | No |
| Author | Kamaljit Behera |
| Industries | Healthcare |
| WIP Number | 9AB9-00-AD-00-00 |
| Is Prebook | No |
| GPS Codes | 9600-B1,9612-B1,9A4B-B1,9837-B1,9B07-C1,9614-B1,9627-B1 |
