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

RELEASE DATE
26-Apr-2019
REGION
Global
Deliverable Type
Market Research
Research Code: 9AB9-00-AD-00-00
SKU: HC03162-GL-MR_23025
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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

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.--BEGIN PROMO--

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

More Information
Deliverable Type Market Research
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