샘플 요청 목록

 카트 문의
시장보고서
상품코드
1563341

헬스케어 인지 컴퓨팅 시장 규모, 점유율, 동향 분석 리포트 : 도입별, 기술별, 지역별, 전망과 예측(2024-2031년)

Global Healthcare Cognitive Computing Market Size, Share & Trends Analysis Report By Deployment (Cloud and On-Premise), By Technology, By Regional Outlook and Forecast, 2024 - 2031
발행일: | 리서치사: KBV Research | 페이지 정보: 영문 207 Pages | 배송안내 : 즉시배송

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

헬스케어 인지 컴퓨팅 시장 규모는 예측 기간 중 26.1%의 CAGR로 시장 성장하며, 2031년까지 490억 달러에 달할 것으로 예상되고 있습니다.

KBV Cardinal Matrix에 제시된 분석에 따르면 Google LLC와 Microsoft Corporation은 헬스케어 인지 컴퓨팅 시장의 선구자이며, 2024년 3월, Microsoft Corporation은 반도체 제조업체인 NVIDIA와 제휴하여 헬스케어 및 생명과학 분야에 생성형 AI, 클라우드 및 가속 컴퓨팅을 도입했으며, Amazon Web Services, Inc.와 같은 기업은 헬스케어 인지 컴퓨팅 시장의 주요 혁신가들 중 일부입니다.

COVID-19의 영향 분석

COVID-19 팬데믹은 의료 업무에 큰 혼란을 일으켜 인지 컴퓨팅 기술의 채택과 구현을 지연시켰습니다. 많은 의료 기관은 첨단 기술에 대한 투자보다 팬데믹에 대한 즉각적인 대응과 환자 치료에 우선순위를 두었습니다. COVID-19 환자 관리와 위기 대응에 자원이 집중되면서 인지 컴퓨팅 프로젝트에 대한 집중과 투자가 줄어들었습니다. 이러한 변화는 의료 현장에서 인지 컴퓨팅 솔루션의 발전과 배포에 영향을 미쳤습니다. 이 방대한 양의 데이터를 관리하고 기존 시스템에 통합하는 것이 어려워 인지 컴퓨팅 용도의 효율성에 영향을 미쳤습니다. 따라서 COVID-19 팬데믹은 시장에 부정적인 영향을 미쳤습니다.

시장 성장 요인

EHR의 보급으로 의료 기록, 검사 결과, 치료 기록 등 방대한 양의 환자 데이터가 축적되었습니다. 이러한 풍부한 데이터세트는 인지 컴퓨팅 용도에 필수적인 환자의 건강 상태를 종합적으로 파악할 수 있습니다. 웨어러블 헬스 디바이스와 사물인터넷(IoT) 기술의 등장으로 건강 관련 데이터가 지속적으로 제공되고 있습니다. 의료진은 유전적, 임상적, 생활습관 데이터를 분석하여 환자 개개인의 필요에 맞게 치료를 조정하고 효과를 높일 수 있습니다. 따라서 헬스케어 데이터 양의 급격한 증가와 빅데이터 분석이 시장 성장을 주도하고 있습니다.

맞춤형 의료는 개인의 유전자 프로파일을 이해하기 위해 유전체 데이터에 크게 의존하고 있습니다. 인지 컴퓨팅 시스템은 대량의 유전체 데이터를 분석하여 유전자 마커, 돌연변이, 질병과의 상관관계를 파악하고 개인화된 치료 계획을 개발할 수 있도록 하는 데 필수적입니다. 맞춤형 의료는 유전체학, 단백질체학, 대사체학 등 다양한 유형의 오믹스 데이터를 통합합니다. 이러한 최적화를 통해 환자는 가장 효과적일 가능성이 높은 치료를 받을 수 있으며, 시행착오를 최소화할 수 있습니다. 따라서 개인화된 의료 구상의 채택과 통합이 증가함에 따라 시장 성장을 가속할 것입니다.

시장 성장 억제요인

많은 의료 기관은 최신 인지 컴퓨팅 기술과 호환되지 않을 수 있는 레거시 IT 시스템에 의존하고 있습니다. 첨단 인지 시스템을 이러한 구식 시스템에 통합하는 것은 기술적으로 어렵고, 대규모 변경 및 업그레이드가 필요할 수 있으며, 이는 구현의 복잡성과 비용을 증가시킬 수 있습니다. 인지 컴퓨팅 시스템은 종종 특정 형식 또는 표준 데이터를 필요로 합니다. 기존 IT 인프라는 서로 다른 데이터 형식이나 표준을 사용하는 경우가 있으며, 원활한 데이터 교환과 통합을 보장하기 어렵습니다. 이러한 표준화의 부재는 데이터 불일치 및 통합 문제로 이어질 수 있습니다. 따라서 인지 시스템을 기존 IT 인프라에 통합하는 복잡성이 시장 성장을 저해하는 요인으로 작용하고 있습니다.

기술 전망

기술에 따라 시장은 자연 언어 처리, 머신러닝, 자동 추론, 정보 검색으로 나뉘며, 2023년에는 자연 언어 처리 부문이 시장에서 40%의 매출 점유율을 차지할 것으로 예상됩니다. 시장 성장은 다양한 시나리오와 분석에서 자연 언어 키워드를 통해 검색 기능을 향상시키는 자연 언어 처리(NLP)의 사용 확대로 인해 시장 성장을 주도하고 있습니다.

도입 전망

도입에 따라 시장은 클라우드와 온프레미스로 나뉘며, 2023년에는 온프레미스 부문이 시장에서 30%의 매출 점유율을 차지할 것으로 예상됩니다. 온프레미스 솔루션을 통해 의료 기관은 데이터를 보다 강력하게 제어할 수 있습니다. 이는 환자 정보의 기밀성을 고려할 때 매우 중요합니다. 조직은 데이터를 자체 인프라에 보관함으로써 잠재적인 침해 및 무단 액세스로부터 데이터를 더 잘 보호할 수 있습니다.

지역 전망

지역별로 보면 시장은 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카로 분석되었습니다. 북미는 2023년 시장에서 37%의 매출 점유율을 기록했습니다. 북미, 특히 미국과 캐나다는 첨단인 의료 인프라가 잘 구축되어 있습니다. 여기에는 종합적인 전자 건강 기록(EHR) 시스템, 원격의료 플랫폼 및 디지털 건강 구상이 포함되어인지 컴퓨팅 기술을 통합하기 위한 강력한 기반을 만듭니다. 이 지역에서는 환자 치료와 운영 효율성 향상에 중점을 두고 의료 기술 채택률이 높아지고 있습니다.

목차

제1장 시장 범위와 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 개관

  • 주요 하이라이트

제3장 시장 개요

  • 서론
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장이 해결해야 할 과제

제4장 경쟁 분석 - 세계

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 개발
    • 파트너십, 협업 및 계약
    • 제품 발매와 제품 확대
    • 인수와 합병
  • 시장 점유율 분석 2023
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 움직임
  • Porter's Five Forces 분석

제5장 세계 시장 : 도입별

  • 세계의 클라우드 시장 : 지역별
  • 세계의 온프레미스 시장 : 지역별

제6장 세계 시장 : 기술별

  • 세계의 자연언어처리 시장 : 지역별
  • 세계의 기계학습 시장 : 지역별
  • 세계의 자동 추론 시장 : 지역별
  • 세계의 정보 검색 시장 : 지역별

제7장 세계 시장 : 지역별

  • 북미
    • 북미의 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미 지역
  • 유럽
    • 유럽의 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽 지역
  • 아시아태평양
    • 아시아태평양의 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카·중동 및 아프리카
    • 라틴아메리카·중동 및 아프리카의 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카·중동 및 아프리카 지역

제8장 기업 개요

  • Microsoft Corporation
  • IBM Corporation
  • GE HealthCare Technologies, Inc
  • Oracle Corporation
  • Cisco Systems, Inc
  • Amazon Web Services, Inc(Amazon.com, Inc.)
  • NVIDIA Corporation
  • Intel Corporation
  • Medtronic PLC
  • Google LLC(Alphabet Inc)

제9장 헬스케어 인지 컴퓨팅 시장의 성공 필수 조건

KSA 24.10.21

The Global Healthcare Cognitive Computing Market size is expected to reach $49 billion by 2031, rising at a market growth of 26.1% CAGR during the forecast period.

The rising incidence of chronic diseases such as diabetes, cardiovascular diseases, and cancer in the Asia-Pacific region creates a growing need for advanced diagnostic and treatment tools. Cognitive computing can provide valuable insights for managing and treating these conditions effectively. Thus, the Asia Pacific region is expected to capture more than 1/4th revenue share in the market by the year 2031. Cognitive computing technologies enable predictive analytics that help in the early diagnosis and management of chronic diseases. This is crucial in the region, where managing the health of large populations with chronic conditions is a significant challenge.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In January, 2024, Amazon Web Services, Inc. partnered with Siemens, a global technology company, to integrate Bedrock with Siemens' Mendix low-code platform, enabling businesses to easily build generative AI applications. Additionally, In September, 2024, Oracle Corporation teamed up with AWS, a cloud computing company, to launch Oracle Database on AWS, enabling customers to access Oracle Autonomous Database and Exadata Database Service within AWS.

Based on the Analysis presented in the KBV Cardinal matrix; Google LLC and Microsoft Corporation are the forerunners in the Healthcare Cognitive Computing Market. In March, 2024, Microsoft Corporation partnered with NVIDIA, a semiconductor manufacturer, to bring generative AI, cloud, and accelerated computing to healthcare and life sciences. Companies such as Amazon Web Services, Inc., NVIDIA Corporation, Cisco Systems, Inc. are some of the key innovators in Healthcare Cognitive Computing Market.

COVID-19 Impact Analysis

The COVID-19 pandemic caused significant disruptions in healthcare operations, leading to delays in adopting and implementing cognitive computing technologies. Many healthcare organizations prioritized immediate pandemic response and patient care over investing in advanced technologies. Resources were diverted towards managing COVID-19 patients and dealing with the crisis, resulting in reduced focus and investment in cognitive computing projects. This shift affected the progress and deployment of cognitive computing solutions in healthcare settings. Managing and integrating this influx of data with existing systems proved challenging, affecting the effectiveness of cognitive computing applications. Thus, the COVID-19 pandemic had a negative impact on the market.

Market Growth Factors

The widespread adoption of EHRs has led to a massive accumulation of patient data, including medical histories, test results, and treatment records. This rich data set provides a comprehensive view of patient health, which is essential for cognitive computing applications. The rise of wearable health devices and Internet of Things (IoT) technologies has introduced a continuous stream of health-related data. By analyzing genetic, clinical, and lifestyle data, healthcare providers can tailor treatments to individual patient needs, enhancing effectiveness. Hence, the exponential growth of healthcare data volume and big data analytics drives the market's growth.

Personalized medicine relies heavily on genomic data to understand individual genetic profiles. Cognitive computing systems are essential for analyzing large volumes of genomic data to identify genetic markers, mutations, and correlations with diseases, enabling the development of personalized treatment plans. Personalized medicine integrates various types of omics data, including genomics, proteomics, and metabolomics. This optimization ensures that patients receive therapies that are most likely to be effective, minimizing trial-and-error approaches. Thus, the growing adoption and integration of personalized medicine initiatives drive the market's growth.

Market Restraining Factors

Many healthcare institutions rely on legacy IT systems that may not be compatible with modern cognitive computing technologies. Integrating advanced cognitive systems with these outdated systems can be technically challenging and may require extensive modifications or upgrades, increasing the complexity and cost of implementation. Cognitive computing systems often require data in specific formats or standards. Existing IT infrastructure may use different data formats or standards, making ensuring seamless data exchange and integration difficult. This lack of standardization can lead to data inconsistencies and integration issues. Hence, the complexity of integrating cognitive systems with existing IT infrastructure is impeding the market's growth.

Technology Outlook

Based on technology, the market is divided into natural language processing, machine learning, automated reasoning, and information retrieval. In 2023, the natural language processing segment garnered 40% revenue share in the market. The market growth is driven by the expanding use of Natural Language Processing (NLP), which enhances search functionality through natural language keywords in various scenarios and analyses.

Deployment Outlook

On the basis of deployment, the market is segmented into cloud and on-premise. In 2023, the on-premise segment attained 30% revenue share in the market. On-premises solutions give healthcare organizations greater control over their data, which is crucial given the sensitive nature of patient information. Organizations can better safeguard against potential breaches and unauthorized access by keeping data within their own infrastructure.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America region witnessed 37% revenue share in the market in 2023. North America, particularly the United States and Canada, has a well-established and advanced healthcare infrastructure. This includes comprehensive electronic health records (EHR) systems, telemedicine platforms, and digital health initiatives, creating a strong foundation for integrating cognitive computing technologies. The region has high adoption rates of healthcare technologies, driven by a focus on improving patient care and operational efficiency.

Recent Strategies Deployed in the Market

  • Jul-2024: GE HealthCare Technologies, Inc. partnered with AWS, a cloud computing company, to leverage generative AI for advancing medical diagnostics and patient care. Utilizing AWS's Amazon Bedrock and Amazon SageMaker, GE HealthCare aimed to accelerate the development of foundation models and AI applications to enhance clinical workflows, improve efficiency, and deliver personalized care.
  • Mar-2024: NVIDIA released 25 new healthcare microservices that leverage generative AI to accelerate drug discovery, medical imaging, and genomics analysis. These microservices, accessible across cloud platforms, enable healthcare companies to integrate AI into applications, enhancing patient care, drug research, and clinical workflows through optimized models and advanced AI technologies.
  • Mar-2024: NVIDIA Corporation announced a partnership with Johnson & Johnson MedTech, a healthcare technology company, to enhance surgery with AI, using NVIDIA's IGX and Holoscan platforms for real-time data processing and clinical insights. Their partnership aims to create an open ecosystem for AI innovation, improving surgical outcomes, decision-making, and operating room efficiency through advanced analytics and AI-powered applications.
  • Feb-2024: IBM Corporation teamed up with Wipro, an Indian IT company, to launch an Enterprise AI-Ready Platform, leveraging IBM's watsonx AI and data tools to offer clients customizable, integrated AI environments. This new service would enhance AI adoption with improved automation, governance, and flexibility for various industry applications.
  • Nov-2023: NVIDIA Corporation teamed up with WIPRO, an Indian IT company, to accelerate healthcare companies' adoption of generative AI. Using NVIDIA AI Enterprise and Wipro's AI frameworks, they aim to enhance member experience, claims processing, and operational efficiency.

List of Key Companies Profiled

  • Microsoft Corporation
  • IBM Corporation
  • NVIDIA Corporation
  • Intel Corporation
  • GE HealthCare Technologies, Inc.
  • Medtronic PLC
  • Oracle Corporation
  • Google LLC
  • Cisco Systems, Inc.
  • Amazon Web Services, Inc.

Global Healthcare Cognitive Computing Market Report Segmentation

By Deployment

  • Cloud
  • On-Premise

By Technology

  • Natural Language Processing
  • Machine Learning
  • Automated Reasoning
  • Information Retrieval

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Healthcare Cognitive Computing Market, by Deployment
    • 1.4.2 Global Healthcare Cognitive Computing Market, by Technology
    • 1.4.3 Global Healthcare Cognitive Computing Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

  • 4.1 KBV Cardinal Matrix
  • 4.2 Recent Industry Wide Strategic Developments
    • 4.2.1 Partnerships, Collaborations and Agreements
    • 4.2.2 Product Launches and Product Expansions
    • 4.2.3 Acquisition and Mergers
  • 4.3 Market Share Analysis, 2023
  • 4.4 Top Winning Strategies
    • 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
    • 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2020, Jul - 2024, Sep) Leading Players
  • 4.5 Porter Five Forces Analysis

Chapter 5. Global Healthcare Cognitive Computing Market by Deployment

  • 5.1 Global Cloud Market by Region
  • 5.2 Global On-Premise Market by Region

Chapter 6. Global Healthcare Cognitive Computing Market by Technology

  • 6.1 Global Natural Language Processing Market by Region
  • 6.2 Global Machine Learning Market by Region
  • 6.3 Global Automated Reasoning Market by Region
  • 6.4 Global Information Retrieval Market by Region

Chapter 7. Global Healthcare Cognitive Computing Market by Region

  • 7.1 North America Healthcare Cognitive Computing Market
    • 7.1.1 North America Healthcare Cognitive Computing Market by Deployment
      • 7.1.1.1 North America Cloud Market by Country
      • 7.1.1.2 North America On-Premise Market by Country
    • 7.1.2 North America Healthcare Cognitive Computing Market by Technology
      • 7.1.2.1 North America Natural Language Processing Market by Country
      • 7.1.2.2 North America Machine Learning Market by Country
      • 7.1.2.3 North America Automated Reasoning Market by Country
      • 7.1.2.4 North America Information Retrieval Market by Country
    • 7.1.3 North America Healthcare Cognitive Computing Market by Country
      • 7.1.3.1 US Healthcare Cognitive Computing Market
        • 7.1.3.1.1 US Healthcare Cognitive Computing Market by Deployment
        • 7.1.3.1.2 US Healthcare Cognitive Computing Market by Technology
      • 7.1.3.2 Canada Healthcare Cognitive Computing Market
        • 7.1.3.2.1 Canada Healthcare Cognitive Computing Market by Deployment
        • 7.1.3.2.2 Canada Healthcare Cognitive Computing Market by Technology
      • 7.1.3.3 Mexico Healthcare Cognitive Computing Market
        • 7.1.3.3.1 Mexico Healthcare Cognitive Computing Market by Deployment
        • 7.1.3.3.2 Mexico Healthcare Cognitive Computing Market by Technology
      • 7.1.3.4 Rest of North America Healthcare Cognitive Computing Market
        • 7.1.3.4.1 Rest of North America Healthcare Cognitive Computing Market by Deployment
        • 7.1.3.4.2 Rest of North America Healthcare Cognitive Computing Market by Technology
  • 7.2 Europe Healthcare Cognitive Computing Market
    • 7.2.1 Europe Healthcare Cognitive Computing Market by Deployment
      • 7.2.1.1 Europe Cloud Market by Country
      • 7.2.1.2 Europe On-Premise Market by Country
    • 7.2.2 Europe Healthcare Cognitive Computing Market by Technology
      • 7.2.2.1 Europe Natural Language Processing Market by Country
      • 7.2.2.2 Europe Machine Learning Market by Country
      • 7.2.2.3 Europe Automated Reasoning Market by Country
      • 7.2.2.4 Europe Information Retrieval Market by Country
    • 7.2.3 Europe Healthcare Cognitive Computing Market by Country
      • 7.2.3.1 Germany Healthcare Cognitive Computing Market
        • 7.2.3.1.1 Germany Healthcare Cognitive Computing Market by Deployment
        • 7.2.3.1.2 Germany Healthcare Cognitive Computing Market by Technology
      • 7.2.3.2 UK Healthcare Cognitive Computing Market
        • 7.2.3.2.1 UK Healthcare Cognitive Computing Market by Deployment
        • 7.2.3.2.2 UK Healthcare Cognitive Computing Market by Technology
      • 7.2.3.3 France Healthcare Cognitive Computing Market
        • 7.2.3.3.1 France Healthcare Cognitive Computing Market by Deployment
        • 7.2.3.3.2 France Healthcare Cognitive Computing Market by Technology
      • 7.2.3.4 Russia Healthcare Cognitive Computing Market
        • 7.2.3.4.1 Russia Healthcare Cognitive Computing Market by Deployment
        • 7.2.3.4.2 Russia Healthcare Cognitive Computing Market by Technology
      • 7.2.3.5 Spain Healthcare Cognitive Computing Market
        • 7.2.3.5.1 Spain Healthcare Cognitive Computing Market by Deployment
        • 7.2.3.5.2 Spain Healthcare Cognitive Computing Market by Technology
      • 7.2.3.6 Italy Healthcare Cognitive Computing Market
        • 7.2.3.6.1 Italy Healthcare Cognitive Computing Market by Deployment
        • 7.2.3.6.2 Italy Healthcare Cognitive Computing Market by Technology
      • 7.2.3.7 Rest of Europe Healthcare Cognitive Computing Market
        • 7.2.3.7.1 Rest of Europe Healthcare Cognitive Computing Market by Deployment
        • 7.2.3.7.2 Rest of Europe Healthcare Cognitive Computing Market by Technology
  • 7.3 Asia Pacific Healthcare Cognitive Computing Market
    • 7.3.1 Asia Pacific Healthcare Cognitive Computing Market by Deployment
      • 7.3.1.1 Asia Pacific Cloud Market by Country
      • 7.3.1.2 Asia Pacific On-Premise Market by Country
    • 7.3.2 Asia Pacific Healthcare Cognitive Computing Market by Technology
      • 7.3.2.1 Asia Pacific Natural Language Processing Market by Country
      • 7.3.2.2 Asia Pacific Machine Learning Market by Country
      • 7.3.2.3 Asia Pacific Automated Reasoning Market by Country
      • 7.3.2.4 Asia Pacific Information Retrieval Market by Country
    • 7.3.3 Asia Pacific Healthcare Cognitive Computing Market by Country
      • 7.3.3.1 China Healthcare Cognitive Computing Market
        • 7.3.3.1.1 China Healthcare Cognitive Computing Market by Deployment
        • 7.3.3.1.2 China Healthcare Cognitive Computing Market by Technology
      • 7.3.3.2 Japan Healthcare Cognitive Computing Market
        • 7.3.3.2.1 Japan Healthcare Cognitive Computing Market by Deployment
        • 7.3.3.2.2 Japan Healthcare Cognitive Computing Market by Technology
      • 7.3.3.3 India Healthcare Cognitive Computing Market
        • 7.3.3.3.1 India Healthcare Cognitive Computing Market by Deployment
        • 7.3.3.3.2 India Healthcare Cognitive Computing Market by Technology
      • 7.3.3.4 South Korea Healthcare Cognitive Computing Market
        • 7.3.3.4.1 South Korea Healthcare Cognitive Computing Market by Deployment
        • 7.3.3.4.2 South Korea Healthcare Cognitive Computing Market by Technology
      • 7.3.3.5 Singapore Healthcare Cognitive Computing Market
        • 7.3.3.5.1 Singapore Healthcare Cognitive Computing Market by Deployment
        • 7.3.3.5.2 Singapore Healthcare Cognitive Computing Market by Technology
      • 7.3.3.6 Malaysia Healthcare Cognitive Computing Market
        • 7.3.3.6.1 Malaysia Healthcare Cognitive Computing Market by Deployment
        • 7.3.3.6.2 Malaysia Healthcare Cognitive Computing Market by Technology
      • 7.3.3.7 Rest of Asia Pacific Healthcare Cognitive Computing Market
        • 7.3.3.7.1 Rest of Asia Pacific Healthcare Cognitive Computing Market by Deployment
        • 7.3.3.7.2 Rest of Asia Pacific Healthcare Cognitive Computing Market by Technology
  • 7.4 LAMEA Healthcare Cognitive Computing Market
    • 7.4.1 LAMEA Healthcare Cognitive Computing Market by Deployment
      • 7.4.1.1 LAMEA Cloud Market by Country
      • 7.4.1.2 LAMEA On-Premise Market by Country
    • 7.4.2 LAMEA Healthcare Cognitive Computing Market by Technology
      • 7.4.2.1 LAMEA Natural Language Processing Market by Country
      • 7.4.2.2 LAMEA Machine Learning Market by Country
      • 7.4.2.3 LAMEA Automated Reasoning Market by Country
      • 7.4.2.4 LAMEA Information Retrieval Market by Country
    • 7.4.3 LAMEA Healthcare Cognitive Computing Market by Country
      • 7.4.3.1 Brazil Healthcare Cognitive Computing Market
        • 7.4.3.1.1 Brazil Healthcare Cognitive Computing Market by Deployment
        • 7.4.3.1.2 Brazil Healthcare Cognitive Computing Market by Technology
      • 7.4.3.2 Argentina Healthcare Cognitive Computing Market
        • 7.4.3.2.1 Argentina Healthcare Cognitive Computing Market by Deployment
        • 7.4.3.2.2 Argentina Healthcare Cognitive Computing Market by Technology
      • 7.4.3.3 UAE Healthcare Cognitive Computing Market
        • 7.4.3.3.1 UAE Healthcare Cognitive Computing Market by Deployment
        • 7.4.3.3.2 UAE Healthcare Cognitive Computing Market by Technology
      • 7.4.3.4 Saudi Arabia Healthcare Cognitive Computing Market
        • 7.4.3.4.1 Saudi Arabia Healthcare Cognitive Computing Market by Deployment
        • 7.4.3.4.2 Saudi Arabia Healthcare Cognitive Computing Market by Technology
      • 7.4.3.5 South Africa Healthcare Cognitive Computing Market
        • 7.4.3.5.1 South Africa Healthcare Cognitive Computing Market by Deployment
        • 7.4.3.5.2 South Africa Healthcare Cognitive Computing Market by Technology
      • 7.4.3.6 Nigeria Healthcare Cognitive Computing Market
        • 7.4.3.6.1 Nigeria Healthcare Cognitive Computing Market by Deployment
        • 7.4.3.6.2 Nigeria Healthcare Cognitive Computing Market by Technology
      • 7.4.3.7 Rest of LAMEA Healthcare Cognitive Computing Market
        • 7.4.3.7.1 Rest of LAMEA Healthcare Cognitive Computing Market by Deployment
        • 7.4.3.7.2 Rest of LAMEA Healthcare Cognitive Computing Market by Technology

Chapter 8. Company Profiles

  • 8.1 Microsoft Corporation
    • 8.1.1 Company Overview
    • 8.1.2 Financial Analysis
    • 8.1.3 Segmental and Regional Analysis
    • 8.1.4 Research & Development Expenses
    • 8.1.5 Recent strategies and developments:
      • 8.1.5.1 Partnerships, Collaborations, and Agreements:
      • 8.1.5.2 Product Launches and Product Expansions:
    • 8.1.6 SWOT Analysis
  • 8.2 IBM Corporation
    • 8.2.1 Company Overview
    • 8.2.2 Financial Analysis
    • 8.2.3 Regional & Segmental Analysis
    • 8.2.4 Research & Development Expenses
    • 8.2.5 Recent strategies and developments:
      • 8.2.5.1 Partnerships, Collaborations, and Agreements:
      • 8.2.5.2 Product Launches and Product Expansions:
      • 8.2.5.3 Acquisition and Mergers:
    • 8.2.6 SWOT Analysis
  • 8.3 GE HealthCare Technologies, Inc.
    • 8.3.1 Company Overview
    • 8.3.2 Financial Analysis
    • 8.3.3 Segmental and Regional Analysis
    • 8.3.4 Research & Development Expenses
    • 8.3.5 Recent strategies and developments:
      • 8.3.5.1 Partnerships, Collaborations, and Agreements:
    • 8.3.6 SWOT Analysis
  • 8.4 Oracle Corporation
    • 8.4.1 Company Overview
    • 8.4.2 Financial Analysis
    • 8.4.3 Segmental and Regional Analysis
    • 8.4.4 Research & Development Expense
    • 8.4.5 Recent strategies and developments:
      • 8.4.5.1 Partnerships, Collaborations, and Agreements:
      • 8.4.5.2 Acquisition and Mergers:
    • 8.4.6 SWOT Analysis
  • 8.5 Cisco Systems, Inc.
    • 8.5.1 Company Overview
    • 8.5.2 Financial Analysis
    • 8.5.3 Regional Analysis
    • 8.5.4 Research & Development Expense
    • 8.5.5 Recent strategies and developments:
      • 8.5.5.1 Partnerships, Collaborations, and Agreements:
      • 8.5.5.2 Acquisition and Mergers:
    • 8.5.6 SWOT Analysis
  • 8.6 Amazon Web Services, Inc. (Amazon.com, Inc.)
    • 8.6.1 Company Overview
    • 8.6.2 Financial Analysis
    • 8.6.3 Segmental Analysis
    • 8.6.4 Recent strategies and developments:
      • 8.6.4.1 Partnerships, Collaborations, and Agreements:
    • 8.6.5 SWOT Analysis
  • 8.7 NVIDIA Corporation
    • 8.7.1 Company Overview
    • 8.7.2 Financial Analysis
    • 8.7.3 Segmental and Regional Analysis
    • 8.7.4 Research & Development Expenses
    • 8.7.5 Recent strategies and developments:
      • 8.7.5.1 Partnerships, Collaborations, and Agreements:
      • 8.7.5.2 Product Launches and Product Expansions:
    • 8.7.6 SWOT Analysis
  • 8.8 Intel Corporation
    • 8.8.1 Company Overview
    • 8.8.2 Financial Analysis
    • 8.8.3 Segmental and Regional Analysis
    • 8.8.4 Research & Development Expenses
    • 8.8.5 Recent strategies and developments:
      • 8.8.5.1 Acquisition and Mergers:
    • 8.8.6 SWOT Analysis
  • 8.9 Medtronic PLC
    • 8.9.1 Company overview
    • 8.9.2 Financial Analysis
    • 8.9.3 Segmental and Regional Analysis
    • 8.9.4 Research & Development Expenses
    • 8.9.5 SWOT Analysis
  • 8.10. Google LLC (Alphabet Inc.)
    • 8.10.1 Company Overview
    • 8.10.2 Financial Analysis
    • 8.10.3 Segmental and Regional Analysis
    • 8.10.4 Research & Development Expense
    • 8.10.5 Recent strategies and developments:
      • 8.10.5.1 Partnerships, Collaborations, and Agreements:
      • 8.10.5.2 Product Launches and Product Expansions:
    • 8.10.6 SWOT Analysis

Chapter 9. Winning Imperatives for Healthcare Cognitive Computing Market

샘플 요청 목록
0 건의 상품을 선택 중
목록 보기
전체삭제