Artificial Intelligence (AI) in Healthcare Market An Introduction and Market Status

Artificial Intelligence in Healthcare

According to Acumen Research, global Artificial Intelligence (AI) in Healthcare Market is projected to reach USD 40.2 Billion by 2026, growing at a CAGR of 49.7% from 2019 to 2026.

Artificial intelligence has found a wide array of application in healthcare. It has not only sophisticated the various activities, but also increase the efficiency of the work. The introduction has also reduce the time of the treatment and reduce the labor cost. Similar to everyday lives, artificial intelligence and robotics are increasingly a part of the healthcare sector. They are used in patient data & risk analysis, lifestyle management & monitoring, precision medicine, inpatient care & hospital management, medical imaging & diagnostics, drug discovery, virtual assistant, research, and others. One of the major advantage of AI is to help people stay healthy. Technology applications and apps encourage healthier behavior in individuals and help with the proactive management of a healthy lifestyle. Moreover, it increases the ability of healthcare professionals to better understand the day-to-day patterns and from this information the professional helps in understanding better feedback, guidance and support for staying healthy.

An innovation like Artificial Intelligence could have far-reaching effects on healthcare by helping in the detection of diseases and continuous monitoring of the conditions. To improve the technology the researcher and scientist are working on improving the applications of Artificial Intelligence. For instance, Google has developed a wide range of products and is focusing on various sectors through their AI solutions. Moreover, the company is focusing on collaboration and acquisition strategy to spread their wing under AI domain. Still, there are huge opportunities in the market and it is clear that in coming years the technology will transform the healthcare sector.

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The AI in Healthcare market is segmented on the basis of application, technology and end users. On the basis of application, the market is segmented into imaging diagnostics, drug discovery, lifestyle management & monitoring, emergency room and hospital management, wearables, insights & risk analytics, virtual assistance, insurance. On the basis of technology, the market is categorized into speech recognition, natural language processing, machine learning, deep learning. On the basis of end users, the market is segmented into hospitals, pharmaceutical organizations, diagnostic centers, and clinics.

America commands the largest share in the global AI in healthcare market owing to the increasing adoption and awareness about AI technology. Various tech giants such as Amazon.com, Inc., IBM Corporation, AMD, Nvidia Corporation, Oracle Corporation are offering AI-based services. Nvidia and AMD are providing GPUs required for AI mining. Software-based companies are building their own AI platform and integrating AI with cloud. Along with this, the organizations are collaborating with healthcare companies and start-ups to obtain benefits of the emerging technology.

US based tech giants like IBM Corporation, Amazon.com, Inc., Nvidia Corporation, Oracle Corporation and many more have adopted AI technology to solve current problems in the industry. The companies have collaborated with other organizations to provide AI platform or use the platforms provided by them and have also partnered with healthcare companies to provide AI based solutions. Emerging start-ups are developing AI based healthcare products involving genomic data as well. The growth of AI market can also be attributed to the need for reducing healthcare costs as Centre of Medicare & Medicaid services (CMS) is spending billions of dollars on US healthcare.

Canada, being the second largest market share holder in North America, is expected to grow with a CAGR of 35.9%. The Canadian healthcare system is one of the best in terms of effectiveness, safety, coordination, equity, and patient-centeredness. However, Canada’s system is subject to numerous pressures. The cost of hospital insurance is increasing, and Canada’s aging population will apply additional pressure to the health-care system over the next few years as the Baby Boom generation enters their senior years. There is a growing need to achieve better healthcare results. Growing investments in better information systems attributes to the high growth rate of AI in healthcare market. The healthcare stakeholders function as independent entities resulting in poor information flow and eventually fail to serve patients in a coordinated way. AI will fortify a patient-centred healthcare system, linking long-fragmented systems into immutable, single and powerful systems. The biggest challenge in Canadian healthcare system is longer waiting time for patients to access the services. Patient wait times will be reduced due to delays being fixed with a one-stop scanning of the distributed ledger’s information. Companies such as VitalHub Corporation have launched an AI platform to solve interoperability problem in the present healthcare system.

Europe holds second leading position in the market owing to the Well developed technology, availability of fund, and government support will drive the market growth in Europe and America. The Asia Pacific is the fastest growing market owing to the huge untapped opportunity in this region. It is expected that Japan will lead the Asia Pacific market, whereas, Indian and China will show a growth in the market.

On the other hand Middle East & Africa holds the least share in the global market owing to the presence of poor economy, low penetration of the technology and limited development in the healthcare infrastructure. However, the region holds the major opportunity for the market growth.

Some of the key players in the global AI in healthcare market include Microsoft, IBM, Johnson & Johnson Services, Inc., Oncora, Koninklijke Philips N.V, Siemens, GE Healthcare, Medtronic, Google, Amazon, Intel, CareSkore, CloudMedx Inc., Clarify Health Solutions, Zebra Medical Vision Ltd., Qventus Inc., NextHealth Technologies, Anju Software Inc. (Zephyr Health) among other.

Market Segment Analysis:

Acumen Research report focuses on market attractiveness by assessing the key market segments. The report also combines region-wise segments for a better understanding of the supply and demand ratio of this market. This exclusive study of the report analyzes the present and future market scenario and the industry trends that are influencing the growth of the segments. Besides, the report also covers the value chain analysis, supply chain analysis, and year-on-year basis analysis of this market.

Market Segmentation

Market By Application

  • Imaging Diagnostics
  • Drug Discovery
  • Lifestyle Management & Monitoring
  • Emergency Room and Hospital Management
  • Wearables
  • Insights & Risk Analytics
  • Virtual Assistance
  • Insurance

Market By Technology

  • Speech Recognition
  • Natural Language Processing
  • Machine Learning
  • Deep Learning
  • Others

Market By End User

  • Hospitals
  • Pharmaceutical Organizations
  • Diagnostic Centers
  • Clinics
  • Other

Market Regional Analysis:

Based on the regions, the global Artificial Intelligence (AI) in Healthcare Market is segmented into -North America (US and Canada), Europe (UK, Germany, France, Spain and Rest of Europe), Asia-Pacific (China, Japan, India, Australia, South Korea and Rest of Asia-Pacific), Latin America (Mexico, Brazil and Rest of Latin America), Middle East & Africa (GCC, South Africa and Rest of MEA).

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TABLE OF CONTENT

CHAPTER 1. INDUSTRY OVERVIEW

1.1. Definition and Scope
1.1.1. Definition of Artificial Intelligence (AI) in Healthcare
1.1.2. Market Segmentation
1.1.3. List of Abbreviations
1.2. Summary
1.2.1. Market Snapshot
1.2.2. Artificial Intelligence (AI) in Healthcare Market By Application
1.2.2.1. Global Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate Comparison By Application (2015-2026)
1.2.2.2. Global Artificial Intelligence (AI) in Healthcare Market Revenue Share By Application in 2017
1.2.2.3. Imaging Diagnostics
1.2.2.4. Drug Discovery
1.2.2.5. Lifestyle Management & Monitoring
1.2.2.6. Emergency Room and Hospital Management
1.2.2.7. Wearables
1.2.2.8. Insights & Risk Analytics
1.2.2.9. Virtual Assistance
1.2.2.10. Insurance
1.2.3. Artificial Intelligence (AI) in Healthcare Market By Technology
1.2.3.1. Global Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate Comparison By Technology (2015-2026)
1.2.3.2. Speech Recognition
1.2.3.3. Natural Language Processing
1.2.3.4. Machine Learning
1.2.3.5. Deep Learning
1.2.3.6. Others
1.2.4. Artificial Intelligence (AI) in Healthcare Market By End User
1.2.4.1. Global Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate Comparison By End User (2015-2026)
1.2.4.2. Hospitals
1.2.4.3. Pharmaceutical Organizations
1.2.4.4. Diagnostic Centers
1.2.4.5. Clinics
1.2.4.6. Other
1.2.5. Artificial Intelligence (AI) in Healthcare Market by Geography
1.2.5.1. Global Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate Comparison by Geography (2015-2026)
1.2.5.2. North America Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate (2015-2026)
1.2.5.3. Europe Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate (2015-2026)
1.2.5.4. Asia-Pacific Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate (2015-2026)
1.2.5.5. Latin America Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate (2015-2026)
1.2.5.6. Middle East and Africa (MEA) Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate (2015-2026)

CHAPTER 2. MARKET DYNAMICS AND COMPETITION ANALYSIS

2.1. Market Drivers
2.2. Restraints and Challenges
2.3. Growth Opportunities
2.4. Porter’s Five Forces Analysis
2.4.1. Bargaining Power of Suppliers
2.4.2. Bargaining Power of Buyers
2.4.3. Threat of Substitute
2.4.4. Threat of New Entrants
2.4.5. Degree of Competition
2.5. Value Chain Analysis
2.6. Cost Structure Analysis
2.6.1. Raw Material and Suppliers
2.6.2. Manufacturing Process Analysis
2.7. Regulatory Compliance
2.8. Competitive Landscape, 2017
2.8.1. Player Positioning Analysis
2.8.2. Key Strategies Adopted By Leading Players

CHAPTER 3. MANUFACTURING PLANTS ANALYSIS

3.1. Capacity and Commercial Production Date of Global Artificial Intelligence (AI) in Healthcare Major Manufacturers in 2017
3.2. Manufacturing Plants Distribution of Global Artificial Intelligence (AI) in Healthcare Major Manufacturers in 2017
3.3. R&D Status and Technology Application of Global Artificial Intelligence (AI) in Healthcare Major Manufacturers in 2017
3.4. Raw Materials Sources Analysis of Global Artificial Intelligence (AI) in Healthcare Major Manufacturers in 2017

CHAPTER 4. ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY APPLICATION

4.1. Global Artificial Intelligence (AI) in Healthcare Revenue By Application
4.2. Imaging Diagnostics
4.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.3. Drug Discovery
4.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.4. Lifestyle Management & Monitoring
4.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.5. Emergency Room and Hospital Management
4.5.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.5.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.6. Wearables
4.6.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.6.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.7. Insights & Risk Analytics
4.7.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.7.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.8. Virtual Assistance
4.8.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.8.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.9. Insurance
4.9.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.9.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

CHAPTER 5. ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY TECHNOLOGY

5.1. Global Artificial Intelligence (AI) in Healthcare Revenue By Technology
5.2. Speech Recognition
5.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.3. Natural Language Processing
5.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.4. Machine Learning
5.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.5. Deep Learning
5.5.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.5.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.6. Others
5.6.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.6.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

CHAPTER 6. ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY END USER

6.1. Global Artificial Intelligence (AI) in Healthcare Revenue By End User
6.2. Hospitals
6.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.3. Pharmaceutical Organizations
6.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.4. Diagnostic Centers
6.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.5. Clinics
6.5.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.5.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.6. Other
6.6.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.6.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

CHAPTER 7. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY COUNTRY

7.1. North America Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate, 2015 – 2026 ($Million)
7.2. North America Artificial Intelligence (AI) in Healthcare Market Revenue Share Comparison, 2015 & 2026 (%)
7.3. U.S.
7.3.1. U.S. Artificial Intelligence (AI) in Healthcare Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
7.3.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
7.3.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
7.4. Canada
7.4.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
7.4.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
7.4.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
7.5. Mexico
7.5.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
7.5.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
7.5.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)

CHAPTER 8. EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY COUNTRY

8.1. Europe Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate, 2015 – 2026 ($Million)
8.2. Europe Artificial Intelligence (AI) in Healthcare Market Revenue Share Comparison, 2015 & 2026 (%)
8.3. UK
8.3.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.3.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
8.3.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
8.4. Germany
8.4.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.4.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
8.4.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
8.5. France
8.5.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.5.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
8.5.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
8.6. Spain
8.6.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.6.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
8.6.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
8.7. Rest of Europe
8.7.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.7.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
8.7.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)

CHAPTER 9. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY COUNTRY

9.1. Asia-Pacific Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate, 2015 – 2026 ($Million)
9.2. Asia-Pacific Artificial Intelligence (AI) in Healthcare Market Revenue Share Comparison, 2015 & 2026 (%)
9.3. China
9.3.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.3.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.3.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
9.4. Japan
9.4.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.4.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.4.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
9.5. India
9.5.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.5.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.5.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
9.6. Australia
9.6.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.6.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.6.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
9.7. South Korea
9.7.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.7.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.7.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
9.8. Rest of Asia-Pacific
9.8.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.8.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.8.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)

CHAPTER 10. LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY COUNTRY

10.1. Latin America Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate, 2015 – 2026 ($Million)
10.2. Latin America Artificial Intelligence (AI) in Healthcare Market Revenue Share Comparison, 2015 & 2026 (%)
10.3. Brazil
10.3.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.3.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
10.3.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
10.4. Argentina
10.4.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.4.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
10.4.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
10.5. Rest of Latin America
10.5.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.5.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
10.5.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)

CHAPTER 11. MIDDLE EAST ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY COUNTRY

11.1. Middle East Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate, 2015 – 2026 ($Million)
11.2. Middle East Artificial Intelligence (AI) in Healthcare Market Revenue Share Comparison, 2015 & 2026 (%)
11.3. Saudi Arabia
11.3.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
11.3.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
11.3.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
11.4. UAE
11.4.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
11.4.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
11.4.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
11.5. Rest of Middle East
11.5.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
11.5.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
11.5.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)

CHAPTER 12. AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET BY COUNTRY

12.1. Africa Artificial Intelligence (AI) in Healthcare Market Revenue and Growth Rate, 2015 – 2026 ($Million)
12.2. Africa Artificial Intelligence (AI) in Healthcare Market Revenue Share Comparison, 2015 & 2026 (%)
12.3. South Africa
12.3.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
12.3.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
12.3.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
12.4. Egypt
12.4.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
12.4.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
12.4.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)
12.5. Rest of Africa
12.5.1. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
12.5.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
12.5.3. Market Revenue and Forecast By End User, 2015 – 2026 ($Million)

CHAPTER 13. COMPANY PROFILE

13.1. Microsoft
13.1.1. Company Snapshot
13.1.2. Overview
13.1.3. Financial Overview
13.1.4. Type Portfolio
13.1.5. Key Developments
13.1.6. Strategies
13.2. IBM
13.2.1. Company Snapshot
13.2.2. Overview
13.2.3. Financial Overview
13.2.4. Type Portfolio
13.2.5. Key Developments
13.2.6. Strategies
13.3. Johnson & Johnson Services, Inc.
13.3.1. Company Snapshot
13.3.2. Overview
13.3.3. Financial Overview
13.3.4. Type Portfolio
13.3.5. Key Developments
13.3.6. Strategies
13.4. Oncora
13.4.1. Company Snapshot
13.4.2. Overview
13.4.3. Financial Overview
13.4.4. Type Portfolio
13.4.5. Key Developments
13.4.6. Strategies
13.5. Koninklijke Phillips N.V
13.5.1. Company Snapshot
13.5.2. Overview
13.5.3. Financial Overview
13.5.4. Type Portfolio
13.5.5. Key Developments
13.5.6. Strategies
13.6. Siemens
13.6.1. Company Snapshot
13.6.2. Overview
13.6.3. Financial Overview
13.6.4. Type Portfolio
13.6.5. Key Developments
13.6.6. Strategies
13.7. GE Healthcare
13.7.1. Company Snapshot
13.7.2. Overview
13.7.3. Financial Overview
13.7.4. Type Portfolio
13.7.5. Key Developments
13.7.6. Strategies
13.8. Medtronic
13.8.1. Company Snapshot
13.8.2. Overview
13.8.3. Financial Overview
13.8.4. Type Portfolio
13.8.5. Key Developments
13.8.6. Strategies
13.9. Google
13.9.1. Company Snapshot
13.9.2. Overview
13.9.3. Financial Overview
13.9.4. Type Portfolio
13.9.5. Key Developments
13.9.6. Strategies
13.10. Amazon
13.10.1. Company Snapshot
13.10.2. Overview
13.10.3. Financial Overview
13.10.4. Type Portfolio
13.10.5. Key Developments
13.10.6. Strategies
13.11. Intel
13.11.1. Company Snapshot
13.11.2. Overview
13.11.3. Financial Overview
13.11.4. Type Portfolio
13.11.5. Key Developments
13.11.6. Strategies
13.12. CareSkore
13.12.1. Company Snapshot
13.12.2. Overview
13.12.3. Financial Overview
13.12.4. Type Portfolio
13.12.5. Key Developments
13.12.6. Strategies
13.13. CloudMedx Inc.
13.13.1. Company Snapshot
13.13.2. Overview
13.13.3. Financial Overview
13.13.4. Type Portfolio
13.13.5. Key Developments
13.13.6. Strategies
13.14. Clarify Health Solutions
13.14.1. Company Snapshot
13.14.2. Overview
13.14.3. Financial Overview
13.14.4. Type Portfolio
13.14.5. Key Developments
13.14.6. Strategies
13.15. Zebra Medical Vision Ltd.
13.15.1. Company Snapshot
13.15.2. Overview
13.15.3. Financial Overview
13.15.4. Type Portfolio
13.15.5. Key Developments
13.15.6. Strategies
13.16. Qventus Inc.
13.16.1. Company Snapshot
13.16.2. Overview
13.16.3. Financial Overview
13.16.4. Type Portfolio
13.16.5. Key Developments
13.16.6. Strategies
13.17. NextHealth Technologies
13.17.1. Company Snapshot
13.17.2. Overview
13.17.3. Financial Overview
13.17.4. Type Portfolio
13.17.5. Key Developments
13.17.6. Strategies
13.18. Anju Software Inc. (Zephyr Health)
13.18.1. Company Snapshot
13.18.2. Overview
13.18.3. Financial Overview
13.18.4. Type Portfolio
13.18.5. Key Developments
13.18.6. Strategies
13.19. Others
13.19.1. Company Snapshot
13.19.2. Overview
13.19.3. Financial Overview
13.19.4. Type Portfolio
13.19.5. Key Developments
13.19.6. Strategies

CHAPTER 14. RESEARCH APPROACH

14.1. Research Methodology
14.1.1. Initial Data Search
14.1.2. Secondary Research
14.1.3. Primary Research
14.2. Assumptions and Scope

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