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Global Healthcare Cognitive Computing Market Size is valued at USD 4.28 Bn in 2024 and is predicted to reach USD 17.62 Bn by the year 2034 at a 15.4% CAGR during the forecast period for 2025-2034.
Key Industry Insights & Findings from the Report:
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.
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.
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 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.
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.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 4.28 Bn |
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Revenue Forecast In 2034 |
USD 17.62 Bn |
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Growth Rate CAGR |
CAGR of 15.4% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Technology, By End-User |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico ;The UK; France; Italy; Spain; South Korea; South East Asia |
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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 |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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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, 2024 & 2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 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, 2024 & 2034
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 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, 2021-2034
7.1.2. North America Healthcare Cognitive Computing Market revenue (US$ Million) estimates and forecasts By End-Use, 2021-2034
7.1.3. North America Healthcare Cognitive Computing Market revenue (US$ Million) estimates and forecasts by country, 2021-2034
7.2. Europe
7.2.1. Europe Healthcare Cognitive Computing Market revenue (US$ Million) By Technology, 2021-2034
7.2.2. Europe Healthcare Cognitive Computing Market revenue (US$ Million) By End-Use, 2021-2034
7.2.3. Europe Healthcare Cognitive Computing Market revenue (US$ Million) by country, 2021-2034
7.3. Asia Pacific
7.3.1. Asia Pacific Healthcare Cognitive Computing Market revenue (US$ Million) By Technology, 2021-2034
7.3.2. Asia Pacific Healthcare Cognitive Computing Market revenue (US$ Million) By End-Use, 2021-2034
7.3.3. Asia Pacific Healthcare Cognitive Computing Market revenue (US$ Million) by country, 2021-2034
7.4. Latin America
7.4.1. Latin America Healthcare Cognitive Computing Market revenue (US$ Million) By Technology, (US$ Million) 2021-2034
7.4.2. Latin America Healthcare Cognitive Computing Market revenue (US$ Million) By End-Use, (US$ Million) 2021-2034
7.4.3. Latin America Healthcare Cognitive Computing Market revenue (US$ Million) by country, 2021-2034
7.5. Middle East & Africa
7.5.1. Middle East & Africa Healthcare Cognitive Computing Market revenue (US$ Million) By Technology, (US$ Million) 2021-2034
7.5.2. Middle East & Africa Healthcare Cognitive Computing Market revenue (US$ Million) By End-Use, (US$ Million) 2021-2034
7.5.3. Middle East & Africa Healthcare Cognitive Computing Market revenue (US$ Million) by country, 2021-2034
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
By Technology-
By End Users -
By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & 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:
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:
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.
