Healthcare Cognitive Computing Market by Technology, by Deployment Model, by End-User and by Geography - Global Market Size, Share, Development, Growth, and Demand Forecast, 2014-2024

  • ID: 4470323
  • Report
  • Region: Global
  • 150 pages
  • P&S Market Research
1 of 4

FEATURED COMPANIES

  • Alphabet Inc.
  • Cognitivescale
  • Enterra Solutions, LLC
  • IBM Corporation
  • Intel Corporation
  • Medwhat.Com, Inc.
  • MORE
Healthcare Cognitive Computing Market by Technology (Natural Language Processing, Machine Learning, Automated Reasoning, Information Retrieval), by Deployment Model (Cloud, On-Premise), by End-User (Healthcare Providers, Pharmaceutical Companies, Medical Device Companies, Healthcare Payers), by Geography (U.S., Canada, U.K., Germany, France, China, Japan, India, Brazil) - Global Market Size, Share, Development, Growth, and Demand Forecast, 2014-2024

The growth in the healthcare cognitive computing market size will be led by increasing burden of chronic diseases, technological advancements in the healthcare industry encouraging the use of cognitive computing in healthcare, and rising adoption of third computing platforms.

Insights on Market Segments:

The technologies used in the healthcare cognitive computing market have been categorized as natural language processing (NLP), machine learning, automated reasoning, and information retrieval, where NLP is expected to witness the fastest growth in demand, and is likely to garner a CAGR of 34.9% during the forecast period. This rising demand for the NLP technology can be attributed to its comprehensive evaluation process, which facilitates management of patient feedback and enables clinical staff to make informed decisions and respond to problems in real time. For instance, the U.S. based Intermountain Hospital uses the NLP technology to identify information associated with cardiac patients, cancer patients, and venous thromboembolism patients.

Cloud and on-premise are the two major types of deployment models used in the healthcare cognitive computing market. Globally, the cloud computing deployment model is estimated to acquire a larger market share, standing at 71.0% in 2017. This growth in the cloud computing deployment model is mainly attributed to its increasing use in the development of healthcare applications, such as electronic health records (EHRs), which are affordable and easily accessible to the healthcare providers to store and access data remotely and provide the necessary care without any delay.

Although cognitive computing is being increasingly used in healthcare by various healthcare professionals, it is the healthcare providers category that is expected to witness the fastest growth, as the end-user base, in the healthcare cognitive computing market during the forecast period. Healthcare providers have been estimated to lead the global market, occupying a 44.5% share in 2017. This growth in the demand for healthcare cognitive computing solutions by healthcare providers can be attributed to the increased usage of cognitive platforms by the providers for the detection and treatment of rare diseases. For instance, in October 2016, Rhön-Klinikum AG, a private hospital group in Germany, teamed up with IBM Corporation on a 12-month pilot project to help detect rare diseases and find their cure using the IBM’s Watson platform.

Asia-Pacific (APAC) is the fastest growing market for healthcare cognitive computing solutions

The APAC healthcare cognitive computing industry is expected to witness the fastest growth in demand, at a CAGR of 41.6%, during the forecast period, owing to rising geriatric population, increasing healthcare expenditure, growing public and private investments in the healthcare sector to cater to unmet medical needs, and burgeoning pharmaceutical industry in the region.

According to the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP), people aged 65 years and above constituted approximately 11.4% of the population in 2013, and the count is estimated to increase by approximately 20% by 2050. Since the elderly generally need help in meeting their medication needs, including keeping track of their visits to the doctor, medication timings, exercise reminders, and dietary recommendations, there is ample scope for the healthcare cognitive computing market to flourish in the region.

Companies in the healthcare cognitive computing market are also increasingly getting involved in research and development to provide better healthcare solutions. For instance, in August 2016, IBM Watson aided in the detection of a rare form of leukemia in a patient in Japan. The cloud-based, AI-powered supercomputer of IBM is capable of cross-referencing and analyzing data from millions of oncology papers from research institutes all over the world.

Development of advanced healthcare computing solutions by key players, to gain a larger share

Globally, key players in the healthcare cognitive computing industry are developing advanced computing solutions for healthcare, to gain a larger market share. For instance, in November 2017, Nuance Communications Inc. unveiled Nuance AI Marketplace for Diagnostic Imaging at the Radiological Society of North America (RSNA) conference in Chicago. It is the first open platform for developers, data scientists, and radiologists to accelerate the development, deployment, and adoption of AI for medical imaging.

Some of the other key players operating in the healthcare cognitive computing market include IBM Corporation, Microsoft Corporation, Enterra Solutions, LLC, Intel Corporation, Alphabet Inc., Hewlett Packard Enterprise (HPE), CognitiveScale, Healthcare X.0 GmbH, and MedWhat.com Inc.
READ MORE
Note: Product cover images may vary from those shown
2 of 4

FEATURED COMPANIES

  • Alphabet Inc.
  • Cognitivescale
  • Enterra Solutions, LLC
  • IBM Corporation
  • Intel Corporation
  • Medwhat.Com, Inc.
  • MORE
1. Research Background
1.1 Research Objectives
1.2 Market Definition
1.3 Research Scope
1.3.1 Market Segmentation by Technology
1.3.2 Market Segmentation by Deployment Model
1.3.3 Market Segmentation by End-User
1.3.4 Market Segmentation by Geography
1.3.5 Analysis Period
1.3.6 Market Data Reporting Unit
1.3.6.1 Value
1.4 Key Stakeholders

2. Research Methodology
2.1 Secondary Research
2.2 Primary Research
2.2.1 Breakdown of Primary Research Respondents
2.2.1.1 by region
2.2.1.2 by industry participant
2.2.1.3 by company type
2.3 Market Size Estimation
2.4 Data Triangulation
2.5 Assumptions for the Study

3. Executive Summary

4. Introduction
4.1 Definition of Market Segments
4.1.1 by Technology
4.1.1.1 Natural language processing
4.1.1.2 Machine learning
4.1.1.3 Automated reasoning
4.1.1.4 Information retrieval
4.1.2 by Deployment Model
4.1.2.1 Cloud
4.1.2.2 On-premise
4.1.3 by End-User
4.1.3.1 Healthcare providers
4.1.3.2 Pharmaceutical companies
4.1.3.3 Medical device companies
4.1.3.4 Healthcare payers
4.1.3.5 Others
4.2 Market Dynamics
4.2.1 Trends
4.2.1.1 Increasing partnerships among the leading players
4.2.2 Drivers
4.2.2.1 Increasing burden of chronic diseases
4.2.2.2 Technological advancements in the healthcare industry
4.2.2.3 Spur in the adoption of third computing platforms
4.2.2.4 Impact analysis of drivers on market forecast
4.2.3 Restraints
4.2.3.1 Limited risk analysis for unstructured data
4.2.3.2 High cost of cognitive computing solutions
4.2.3.3 Lack of digital healthcare infrastructure in emerging markets
4.2.3.4 Impact analysis of restraints on market forecast
4.2.4 Opportunities
4.2.4.1 Developing healthcare infrastructure in emerging markets
4.2.4.2 Increasing demand for personalized medication
4.3 Porter’s Five Forces Analysis
4.3.1 Bargaining Power of Buyers
4.3.2 Bargaining Power of Suppliers
4.3.3 Intensity of Rivalry
4.3.4 Threat of New Entrants
4.3.5 Threat of Substitutes

5. Global Market Size and Forecast
5.1 by Technology
5.2 by Deployment Model
5.3 by End-User
5.4 by Region

6. North America Market Size and Forecast
6.1 by Technology
6.2 by Deployment Model
6.3 by End-User
6.4 by Country

7. Europe Market Size and Forecast
7.1 by Technology
7.2 by Deployment Model
7.3 by End-User
7.4 by Country

8. APAC Market Size and Forecast
8.1 by Technology
8.2 by Deployment Model
8.3 by End-User
8.4 by Country

9. MEA Market Size and Forecast
9.1 by Technology
9.2 by Deployment Model
9.3 by End-User

10. LATAM Market Size and Forecast
10.1 by Technology
10.2 by Deployment Model
10.3 by End-User
10.4 by Country

11. Strategic Developments
11.1 Product Launches
11.2 Partnerships
11.3 Other Developments

12. Company Profiles
12.1 Global Key Players
12.1.1 IBM Corporation
12.1.1.1 Business overview
12.1.1.2 Product and service offerings
12.1.1.3 Key financial summary
12.1.1.4 Strategic growth plans
12.1.2 Microsoft Corporation
12.1.2.1 Business overview
12.1.2.2 Product and service offerings
12.1.2.3 Key financial summary
12.1.2.4 Strategic growth plans
12.1.3 Enterra Solutions, LLC
12.1.3.1 Business overview
12.1.3.2 Product and service offerings
12.1.4 Intel Corporation
12.1.4.1 Business overview
12.1.4.2 Product and service offerings
12.1.4.3 Key financial summary
12.1.4.4 Strategic growth plans
12.1.5 Alphabet Inc.
12.1.5.1 Business overview
12.1.5.2 Product and service offerings
12.1.5.3 Key financial summary
12.1.5.4 Strategic growth plans
12.1.6 Hewlett Packard Enterprise (HPE)
12.1.6.1 Business overview
12.1.6.2 Product and service offerings
12.1.6.3 Key financial summary
12.1.6.4 Strategic growth plans
12.1.7 Nuance Communications, Inc.
12.1.7.1 Business overview
12.1.7.2 Product and service offerings
12.1.7.3 Key financial summary
12.1.7.4 Strategic growth plans
12.1.8 CognitiveScale
12.1.8.1 Business overview
12.1.8.2 Product and service offerings
12.1.8.3 Strategic growth plans
12.1.9 Healthcare X.0 GmbH
12.1.9.1 Business overview
12.1.9.2 Product and service offerings
12.1.10 Medwhat.com, Inc.
12.1.10.1 Business overview
12.1.10.2 Product and service offerings
12.2 North America-Based Players
12.2.1 Apixio Inc.
12.2.2 Deep 6 AI
12.2.3 Imagia Cybernetics Inc.
12.3 Other Regional Players
12.3.1 Your.MD
12.3.2 Lunit Inc.
12.3.3 MedyMatch Technology, Ltd.

13. Appendix
13.1 Abbreviations
13.2 Related Reports

List of Tables
Table 1 Analysis Period of The Study
Table 2 Drivers For The Market: Impact Analysis
Table 3 Restraints For The Market: Impact Analysis
Table 4 Global Healthcare Cognitive Computing Market, by Technology, $M (2014-2017)
Table 5 Global Healthcare Cognitive Computing Market, by Technology, $M (2018-2024)
Table 6 Global Healthcare Cognitive Computing Market, by Deployment Model, $M (2014-2017)
Table 7 Global Healthcare Cognitive Computing Market, by Deployment Model, $M (2018-2024)
Table 8 Global Healthcare Cognitive Computing Market, by End-User, $M (2014-2017)
Table 9 Global Healthcare Cognitive Computing Market, by End-User, $M (2018-2024)
Table 10 Global Healthcare Cognitive Computing Market, by Region, $M (2014-2017)
Table 11 Global Healthcare Cognitive Computing Market, by Region, $M (2018-2024)
Table 12 North America Healthcare Cognitive Computing Market, by Technology, $M (2014-2017)
Table 13 North America Healthcare Cognitive Computing Market, by Technology, $M (2018-2024)
Table 14 North America Healthcare Cognitive Computing Market, by Deployment Model, $M (2014-2017)
Table 15 North America Healthcare Cognitive Computing Market, by Deployment Model, $M (2018-2024)
Table 16 North America Healthcare Cognitive Computing Market, by End-User, $M (2014-2017)
Table 17 North America Healthcare Cognitive Computing Market, by End-User, $M (2018-2024)
Table 18 North America Healthcare Cognitive Computing Market, by Country, $M (2014-2017)
Table 19 North America Healthcare Cognitive Computing Market, by Country, $M (2018-2024)
Table 20 Europe Healthcare Cognitive Computing Market, by Technology, $M (2014-2017)
Table 21 Europe Healthcare Cognitive Computing Market, by Technology, $M (2018-2024)
Table 22 Europe Healthcare Cognitive Computing Market, by Deployment Model, $M (2014-2017)
Table 23 Europe Healthcare Cognitive Computing Market, by Deployment Model, $M (2018-2024)
Table 24 Europe Healthcare Cognitive Computing Market, by End-User, $M (2014-2017)
Table 25 Europe Healthcare Cognitive Computing Market, by End-User, $M (2018-2024)
Table 26 Europe Healthcare Cognitive Computing Market, by Country, $M (2014-2017)
Table 27 Europe Healthcare Cognitive Computing Market, by Country, $M (2018-2024)
Table 28 Apac Healthcare Cognitive Computing Market, by Technology, $M (2014-2017)
Table 29 Apac Healthcare Cognitive Computing Market, by Technology, $M (2018-2024)
Table 30 Apac Healthcare Cognitive Computing Market, by Deployment Model, $M (2014-2017)
Table 31 Apac Healthcare Cognitive Computing Market, by Deployment Model, $M (2018-2024)
Table 32 Apac Healthcare Cognitive Computing Market, by End-User, $M (2014-2017)
Table 33 Apac Healthcare Cognitive Computing Market, by End-User, $M (2018-2024)
Table 34 Apac Healthcare Cognitive Computing Market, by Country, $M (2014-2017)
Table 35 Apac Healthcare Cognitive Computing Market, by Country, $M (2018-2024)
Table 36 Mea Healthcare Cognitive Computing Market, by Technology, $M (2014-2017)
Table 37 Mea Healthcare Cognitive Computing Market, by Technology, $M (2018-2024)
Table 38 Mea Healthcare Cognitive Computing Market, by Deployment Model, $M (2014-2017)
Table 39 Mea Healthcare Cognitive Computing Market, by Deployment Model, $M (2018-2024)
Table 40 Mea Healthcare Cognitive Computing Market, by End-User, $M (2014-2017)
Table 41 Mea Healthcare Cognitive Computing Market, by End-User, $M (2018-2024)
Table 42 Latam Healthcare Cognitive Computing Market, by Technology, $M (2014-2017)
Table 43 Latam Healthcare Cognitive Computing Market, by Technology, $M (2018-2024)
Table 44 Latam Healthcare Cognitive Computing Market, by Deployment Model, $M (2014-2017)
Table 45 Latam Healthcare Cognitive Computing Market, by Deployment Model, $M (2018-2024)
Table 46 Latam Healthcare Cognitive Computing Market, by End-User, $M (2014-2017)
Table 47 Latam Healthcare Cognitive Computing Market, by End-User, $M (2018-2024)
Table 48 Latam Healthcare Cognitive Computing Market, by Country, $M (2014-2017)
Table 49 Latam Healthcare Cognitive Computing Market, by Country, $M (2018-2024)
Table 50 Ibm Corporation - at a Glance
Table 51 Ibm Corporation - Key Financial Summary
Table 52 Microsoft Corporation - at a Glance
Table 53 Microsoft Corporation - Key Financial Summary
Table 54 Enterra Solutions, Llc - at a Glance
Table 55 Intel Corporation - at a Glance
Table 56 Intel Corporation - Key Financial Summary
Table 57 Alphabet Inc. - at a Glance
Table 58 Alphabet Inc. - Key Financial Summary
Table 59 Hpe- at a Glance
Table 60 Hpe - Key Financial Summary
Table 61 Nuance Communications, Inc. - at a Glance
Table 62 Nuance Communications, Inc. - Key Financial Summary
Table 63 Cognitivescale - at a Glance
Table 64 Healthcare X.0 Gmbh - at a Glance
Table 65 Medwhat.Com, Inc. - at a Glance
Table 66 Apixio Inc. - at a Glance
Table 67 Deep 6 Ai - at a Glance
Table 68 Imagia Cybernetics Inc. - at a Glance
Table 69 Your.Md - at a Glance
Table 70 Lunit Inc. - at a Glance
Table 71 Medymatch Technology, Ltd. - at a Glance

List of Figures
Fig 1 Research Scope
Fig 2 Research Methodology
Fig 3 Regional Split of Primary And Secondary Research
Fig 4 Breakdown of Primary Research by Region
Fig 5 Breakdown of Primary Research by Industry Participant
Fig 6 Breakdown of Primary Research by Company Type
Fig 7 Data Triangulation Approach
Fig 8 Global Healthcare Cognitive Computing Market Summary
Fig 9 Porter’S Five Forces Analysis
Fig 10 Global Healthcare Cognitive Computing Market Split, by Technology (2017)
Fig 11 Global Healthcare Cognitive Computing Market, by Technology, $M (2014-2024)
Fig 12 Global Healthcare Cognitive Computing Market Split, by Deployment Model (2017)
Fig 13 Global Healthcare Cognitive Computing Market, by Deployment Model, $M (2014-2024)
Fig 14 Global Healthcare Cognitive Computing Market Split, by End-User (2017)
Fig 15 Global Healthcare Cognitive Computing Market, by End-User, $M (2014-2024)
Fig 16 Worldwide Major Markets For Healthcare Cognitive Computing
Fig 17 North America Healthcare Cognitive Computing Market Snapshot
Fig 18 North America Healthcare Cognitive Computing Market, by Technology, $M (2014-2024)
Fig 19 North America Healthcare Cognitive Computing Market, by Deployment Model, $M (2014-2024)
Fig 20 North America Healthcare Cognitive Computing Market, by End-User, $M (2014-2024)
Fig 21 North America Healthcare Cognitive Computing Market, by Country, $M (2014-2024)
Fig 22 Europe Healthcare Cognitive Computing Market Snapshot
Fig 23 Europe Healthcare Cognitive Computing Market, by Technology, $M (2014-2024)
Fig 24 Europe Healthcare Cognitive Computing Market, by Deployment Model, $M (2014-2024)
Fig 25 Europe Healthcare Cognitive Computing Market, by End-User, $M (2014-2024)
Fig 26 Europe Healthcare Cognitive Computing Market, by Country, $M (2014-2024)
Fig 27 Apac Healthcare Cognitive Computing Market Snapshot
Fig 28 Apac Healthcare Cognitive Computing Market, by Technology, $M (2014-2024)
Fig 29 Apac Healthcare Cognitive Computing Market, by Deployment Model, $M (2014-2024)
Fig 30 Apac Healthcare Cognitive Computing Market, by End-User, $M (2014-2024)
Fig 31 Apac Healthcare Cognitive Computing Market, by Country, $M (2014-2024)
Fig 32 Mea Healthcare Cognitive Computing Market Snapshot
Fig 33 Mea Healthcare Cognitive Computing Market, by Technology, $M (2014-2024)
Fig 34 Mea Healthcare Cognitive Computing Market, by Deployment Model, $M (2014-2024)
Fig 35 Mea Healthcare Cognitive Computing Market, by End-User, $M (2014-2024)
Fig 36 Latam Healthcare Cognitive Computing Market Snapshot
Fig 37 Latam Healthcare Cognitive Computing Market, by Technology, $M (2014-2024)
Fig 38 Latam Healthcare Cognitive Computing Market, by Deployment Model, $M (2014-2024)
Fig 39 Latam Healthcare Cognitive Computing Market, by End-User, $M (2014-2024)
Fig 40 Latam Healthcare Cognitive Computing Market, by Country, $M (2014-2024)
Fig 41 Ibm Corporation - Revenue Split by Segment (2016)
Fig 42 Ibm Corporation - Revenue Split by Geography (2016)
Fig 43 Microsoft Corporation - Revenue Split by Segment (2017)
Fig 44 Microsoft Corporation - Revenue Split by Geography (2017)
Fig 45 Intel Corporation - Revenue Split by Segment (2017)
Fig 46 Intel Corporation - Revenue Split by Geography (2017)
Fig 47 Alphabet Inc. - Revenue Split by Segment (2016)
Fig 48 Alphabet Inc. - Revenue Split by Geography (2016)
Fig 49 Hpe - Revenue Split by Segment (2017)
Fig 50 Hpe - Revenue Split by Geography (2017)
Fig 51 Nuance Communications, Inc. - Revenue Split by Segment (2017)
Fig 52 Nuance Communications, Inc. - Revenue Split by Geography (2017)
Note: Product cover images may vary from those shown
3 of 4

Loading
LOADING...

4 of 4
  • Alphabet Inc.
  • Apixio Inc.
  • Cognitivescale
  • Deep 6 AI
  • Enterra Solutions, LLC
  • Healthcare X.0 Gmbh
  • Hewlett Packard Enterprise (Hpe)
  • IBM Corporation
  • Imagia Cybernetics Inc.
  • Intel Corporation
  • Lunit Inc.
  • Medwhat.Com, Inc.
  • Medymatch Technology, Ltd.
  • Microsoft Corporation
  • Nuance Communications, Inc.
  • Your.Md
Note: Product cover images may vary from those shown
5 of 4
Note: Product cover images may vary from those shown
Adroll
adroll