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Healthcare Cognitive Computing Market

Healthcare Cognitive Computing Market Size, Share & Trends Analysis Report By Technology (Natural Language Processing, Machine Learning, Automated Reasoning, Others), By End Users (Hospitals, Pharmaceuticals, Medical Devices, Insurance, Clinical Research Organizations), By Region, And By Segment Forecasts, 2024-2031

Report ID : 2156 | Published : 2024-04-12 | Pages: 179 | Format: PDF/EXCEL

Healthcare Cognitive Computing Market Size is valued at USD 3.79 Bn in 2023 and is predicted to reach USD 12.94 Bn by the year 2031 at a 16.87% CAGR during the forecast period for 2024-2031.

Key Industry Insights & Findings from the Report:

  • The healthcare cognitive computing market is projected to witness significant growth fueled by the increasing adoption of AI-driven solutions across healthcare facilities.
  • North America holds the largest market share due to the presence of established healthcare infrastructure and early adoption of cognitive computing technologies
  • Healthcare providers are increasingly investing in cognitive computing solutions to enhance patient care, optimize clinical workflows, and improve operational efficiency.

healthcare cognitive computing

Cognitive computing, which involves emulating human thought processes electronically, offers significant advantages, particularly threat detection and fraud prevention. In the healthcare sector, cognitive computing assists medical professionals in making treatment decisions based on previous evidence and managing complex and extensive datasets. The widespread adoption of cloud services globally plays a pivotal role in propelling the healthcare cognitive computing market. Furthermore, the increasing rapid cases of chronic diseases such as diabetes, cardiovascular disorders, and cancer, among others, have raised concerns for governments and healthcare providers, driving market growth. The exponential growth in patient data generation fuels the demand for big data as well as cognitive computing analytics.

Additionally, the healthcare industry is witnessing the extensive application of cognitive computing technology, further bolstering market expansion. Other contributing factors include a population with high disposable income, advancements in healthcare infrastructure, a surge in healthcare spending, the rise of direct digital manufacturing, and the proliferation of structured and unstructured data. Furthermore, the growing demand for personalized healthcare services and ongoing technological advancements in data mining and analytics offer lucrative opportunities for market players.

Competitive Landscape

Some Major Key Players In The Healthcare Cognitive Computing Market:

  • IBM,
  • Microsoft,
  • Google
  • Apple
  • PTC
  • Palantir
  • CognitiveScale,
  • Numenta,
  • Vicarious,
  • Enterra Solutions,
  • Numenta,
  • Vicarious,
  • Deepmind,
  • SparkCognition,
  • TIBCO Software Inc,
  • NakaTech,
  • Wipro Limited,
  • Marlabs,
  • SAP SE,
  • Apixio,
  • Healthcare X.0,
  • Enterra Solutions,
  • Nuance Communications, Inc,
  • Intel Corporation,
  • MEDWHAT
  • Others

Market Segmentation:

The market is segmented on the basis of technology and end users. Based on technology, the healthcare cognitive computing market is segmented as NL, ML, automated reasoning and others. By end users, the healthcare cognitive computing market is segmented into hospitals, medical devices, insurance pharmaceuticals, and clinical research organizations.

Based On Product, The NLP Segment Is Accounted As A Major Contributor In The Healthcare Cognitive Computing Market. 

The NLP category is expected to hold a major share of the global Healthcare Cognitive Computing market in 2022. Natural language processing (NLP) plays a pivotal role in cognitive computing, empowering machines to comprehend and handle human language. NLP technologies can scrutinize and make sense of human language, encompassing spoken and written forms, while generating responses that humans can comprehend. The adoption of NLP is rising across diverse sectors, including expanding healthcare, retail, and finance, where it finds application in functions like virtual assistants, chatbots, and voice-activated devices.

The Hospital Category Witnessed Growth At A Rapid Rate.

The hospital segment is projected to develop at a rapid rate in the global healthcare cognitive computing market. The significant utilization of cognitive computing can be ascribed to several pivotal factors, which encompass a rising need for tailored medical approaches, treatments tailored to specific genes, oncological care, and the management of patient health records. Initially, cognitive computing solutions were introduced through pilot programs in oncology, patient data management, and gene-targeted treatments. As a result, they have played a vital role in achieving widespread adoption.

In The Region, The North American Healthcare Cognitive Computing Market Holds A Significant Revenue Share.

The North American healthcare cognitive computing market is expected to register a tremendous market share in terms of revenue in the near future. The region's sizable population has spurred growth in the construction and infrastructure industries, generating a heightened demand for cognitive computing solutions in various applications, including coatings, plastics, and construction materials. Additionally, the escalating desire for consumer electronics and appliances in the region is fueling the proliferation of speciality deployment cognitive computing, which is crucial for the production of these goods.

Attributed to the strong presence of advanced technology firms and continuous regional investments in research and development. The market's dominance in this region can be attributed to several key factors, including the presence of advanced technology companies, sustained investments in research and development, more favourable reimbursement policies, and extensive utilization of information technology to reduce healthcare expenses and improve the quality of patient care.

Recent Developments:

  • In April 2023, Cognizant and Microsoft have recently announced an extension of their established healthcare partnership. This development aims to provide healthcare payers and providers with convenient access to state-of-the-art technological solutions, enhance the efficiency of claims management, and optimise business operations and member experiences through improved interoperability.
  • In July 2019, Nestlé USA and Enterra Solutions entered into a multi-year solution-as-a-service agreement for the next generation's business applications and analytics and insights platform.

Healthcare Cognitive Computing Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 3.79 Bn

Revenue Forecast In 2031

USD 12.94 Bn

Growth Rate CAGR

CAGR of 16.87 % from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Technology, By End-User

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico ;The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia

Competitive Landscape

IBM, Microsoft, Google, Apple, PTC, Palantir, ognitiveScale, Numenta, Vicarious, Enterra Solutions, Numenta, Vicarious, Deepmind, SparkCognition, TIBCO Software Inc, NakaTech, Wipro Limited, Marlabs, SAP SE, Apixio, Healthcare X.0, Enterra Solutions, Nuance Communications, Inc, Intel Corporation, MEDWHAT, Others

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Healthcare Cognitive Computing Market Snapshot

Chapter 4. Global Healthcare Cognitive Computing Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Technology Estimates & Trend Analysis

5.1. By Technology, & Market Share, 2019 & 2031

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Technology:

5.2.1. Natural Language Processing

5.2.2. Machine Learning

5.2.3. Automated Reasoning

5.2.4. Other Technologies 

Chapter 6. Market Segmentation 2: By End-Use Estimates & Trend Analysis

6.1. By End-Use & Market Share, 2019 & 2031

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By End-Use:

6.2.1. Hospitals

6.2.2. Pharmaceuticals

6.2.3. Medical Devices

6.2.4. Insurance

6.2.5. Others

Chapter 7. Healthcare Cognitive Computing Market Segmentation 3: Regional Estimates & Trend Analysis

7.1. North America

7.1.1. North America Healthcare Cognitive Computing Market revenue (US$ Million) estimates and forecasts By Technology, 2019-2031

7.1.2. North America Healthcare Cognitive Computing Market revenue (US$ Million) estimates and forecasts By End-Use, 2019-2031

7.1.3. North America Healthcare Cognitive Computing Market revenue (US$ Million) estimates and forecasts by country, 2019-2031

7.2. Europe

7.2.1. Europe Healthcare Cognitive Computing Market revenue (US$ Million) By Technology, 2019-2031

7.2.2. Europe Healthcare Cognitive Computing Market revenue (US$ Million) By End-Use, 2019-2031

7.2.3. Europe Healthcare Cognitive Computing Market revenue (US$ Million) by country, 2019-2031

7.3. Asia Pacific

7.3.1. Asia Pacific Healthcare Cognitive Computing Market revenue (US$ Million) By Technology, 2019-2031

7.3.2. Asia Pacific Healthcare Cognitive Computing Market revenue (US$ Million) By End-Use, 2019-2031

7.3.3. Asia Pacific Healthcare Cognitive Computing Market revenue (US$ Million) by country, 2019-2031

7.4. Latin America

7.4.1. Latin America Healthcare Cognitive Computing Market revenue (US$ Million) By Technology, (US$ Million) 2019-2031

7.4.2. Latin America Healthcare Cognitive Computing Market revenue (US$ Million) By End-Use, (US$ Million) 2019-2031

7.4.3. Latin America Healthcare Cognitive Computing Market revenue (US$ Million) by country, 2019-2031

7.5. Middle East & Africa

7.5.1. Middle East & Africa Healthcare Cognitive Computing Market revenue (US$ Million) By Technology, (US$ Million) 2019-2031

7.5.2. Middle East & Africa Healthcare Cognitive Computing Market revenue (US$ Million) By End-Use, (US$ Million) 2019-2031

7.5.3. Middle East & Africa Healthcare Cognitive Computing Market revenue (US$ Million) by country, 2019-2031

Chapter 8. Competitive Landscape

8.1. Major Mergers and Acquisitions/Strategic Alliances

8.2. Company Profiles

8.2.1. IBM

8.2.2. Google Inc.

8.2.3. Microsoft

8.2.4. CognitiveScale

8.2.5. Palantir Technologies

8.2.6. PTC Inc.

8.2.7. Saffron Technologies

8.2.8. Enterra Solutions, LLC.

8.2.9. Numenta

8.2.10. Vicarious

Segmentation of Healthcare Cognitive Computing Market-

By Technology-

  • Natural Language Processing
  • Machine Learning
  • Automated Reasoning
  • Others

Healthcare Cognitive Computing Market Seg

 By End Users -

  • Hospitals
  • Pharmaceuticals
  • Medical Devices
  • Insurance
  • Clinical Research Organizations

By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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Frequently Asked Questions

How big is the Healthcare Cognitive Computing Market Size?

Healthcare Cognitive Computing Market is expected to grow at a 16.87% CAGR during the forecast period for 2024-2031.

Marlabs, SAP SE, Apixio, Healthcare X.0, Enterra Solutions, Nuance Communications, Inc, Intel Corporation, MEDWHAT, Others

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