カテゴリー： Allied Market Research, 世界, 医療/バイオ

先進臨床判断支援プラットフォームの世界市場2021-2031：機会分析・産業予測

◆英語タイトル：Advanced Clinical Decision Support Platforms Market By Type (Therapeutic, Diagnostic), By Model (Knowledge based, Non Knowledge based), By Setting (Hospitals, Ambulatory care): Global Opportunity Analysis and Industry Forecast, 2021-2031

Allied Market Researchが発行した調査報告書（ALD23MA077）◆商品コード：ALD23MA077
◆発行会社（リサーチ会社）：Allied Market Research
◆発行日：2023年2月
◆ページ数：241
◆レポート形式：英語 / PDF
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◆産業分野：医療
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❖ レポートの概要 ❖

アライドマーケットリサーチ社による当調査レポートでは、世界の先進臨床判断支援プラットフォーム市場規模が2022年から2031年にかけて年平均9.0％成長し、2021年の496.4 millionドルから2031年には1,175.0 million ドルに達すると予測しています。当書は、先進臨床判断支援プラットフォームの世界市場を調査対象とし、イントロダクション、エグゼクティブサマリー、市場概要、種類別（治療、診断）分析、モデル別（知識ベース、非知識ベース）分析、施設別（病院、外来診療所）分析、地域別（北米、ヨーロッパ、アジア太平洋、中南米・中東/アフリカ）分析、企業状況などの項目を掲載しています。なお、当市場の主要企業には、Oracle Corporation、Wolters Kluwer、Meditech、IBM Watson Health、Veradigm Inc.、Epic Systems Corporation、NextGen Healthcare Inc.、Zynx health、Siemens Healthineers、Relx Groupなどが含まれております。
・イントロダクション
・エグゼクティブサマリー
・市場概要
・世界の先進臨床判断支援プラットフォーム市場規模：種類別
　 - 治療支援プラットフォームの市場規模
　 - 診断支援プラットフォームの市場規模
・世界の先進臨床判断支援プラットフォーム市場規模：モデル別
　 - 臨床知識ベースの市場規模
　 - 臨床非知識ベースの市場規模
・世界の先進臨床判断支援プラットフォーム市場規模：施設別
　 - 病院における市場規模
　 - 外来診療所における市場規模
・世界の先進臨床判断支援プラットフォーム市場規模：地域別
　 - 北米の先進臨床判断支援プラットフォーム市場規模
　 - ヨーロッパの先進臨床判断支援プラットフォーム市場規模
　 - アジア太平洋の先進臨床判断支援プラットフォーム市場規模
　 - 中南米・中東/アフリカの先進臨床判断支援プラットフォーム市場規模
・企業状況
・企業情報

The Advanced Clinical Decision Support Platforms Market valued for $496.4 million in 2021 and is estimated to reach $1,175.0 million by 2031, exhibiting a CAGR of 9.0% from 2022 to 2031. 
Advanced clinical decision support platforms or computerized clinical decision support systems (CDSS) represent a paradigm shift in healthcare sector. CDSS are used to augment clinicians in their complex decision-making processes. It is a type of system that offers health information technology to doctors, staff, patients, and other individuals with knowledge and person-specific information that are intelligently filtered or provided at the right moment to enhance health and health care. Clinical decision support systems are core component of electronic health records. These tools can alert the physician about potential errors, remind them to provide preventive care, help them to make diagnosis, and assist with treatment.
The growth of advanced clinical decision support platforms market is driven by technological advancement in the development of different clinical decision support systems and increase in number of various strategies adopted such as product launch and product approval by the key market players. In addition, rise in government initiatives for promoting digital healthcare boosts the market growth. Governments across the world are increasingly taking steps to promote digital health and the use of advanced clinical decision support systems. Thus, this factor is attributed to drive the demand for advanced clinical decision support systems and fuel the growth of market.
Moreover, there is rise in the prevalence of chronic diseases such as diabetes, cancer, and cardiovascular diseases, which drives the demand for advanced clinical decision support systems, as these systems help healthcare professionals to provide better care for such conditions. Clinical decision support systems (CDSSs) can help clinicians to assess cardiovascular disease (CVD) risk & manage CVD risk factors by providing tailored assessments and treatment recommendations based on individual patient data. As Cardiovascular disease is the term for all types of diseases that affect the heart or blood vessels, including coronary heart disease, which can cause heart attacks, stroke, congenital heart defects, therefore, clinical decision support system can also be useful in treatment of coronary heart disease.
Thus, rise in prevalence of coronary heart disease fosters the demand for advanced clinical decision support system by physicians and fuels the growth of market. For instance, according to report shared by Center for Disease Control and Prevention (CDC), it was reported that, coronary heart disease is the most common type of heart disease, killing 382,820 people in the U.S. in 2020. Moreover, in 2020, about 2 in 10 deaths from coronary artery disease (CAD) were in adults less than 65 years old.
Clinical decision support systems are often integrated into telemedicine clinical practice. Thus, rise in usage of telemedicine platform by physician contributes to the growth of market. For instance, according to Centers for Disease Control and Prevention (CDC) in December 2022, it was reported that, from 2019 to 2021, the use of telemedicine technology increased for office-based physicians from 15.4% to 85.9%. In both 2019 and 2021, the use of telemedicine technology was higher among primary care physicians and medical specialty physicians On the other hand, high cost of electronic health record systems and cyber security issues associated with advanced clinical decision support platforms are some factors that are anticipated to restrain the growth of the advanced clinical decision support platforms market.

The advanced clinical decision support platforms market is segmented into type, model, setting, and region. By type, the market is bifurcated into therapeutic and diagnostic. The diagnostic segment is further bifurcated into hospitals and ambulatory care. Therapeutic segment is further subdivided into hospitals and ambulatory care. By model, the market is divided into knowledge based and non-knowledge based. By setting, the market is classified into hospital and ambulatory care.

Region-wise; the market is analyzed across North America (U.S., Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and rest of Europe), Asia-Pacific (Japan, China, India, Australia, South Korea, and rest of Asia Pacific), and LAMEA (Brazil, Saudi Arabia, South Africa, and rest of LAMEA).  Some of the major companies that operate in the global advanced clinical decision support platforms market include Siemens Healthineers, Wolters Kluwer, Zynx Health, Oracle Corporation, IBM Watson Health, NextGen Healthcare Inc., Veradigm Inc., Meditech, Epic Systems Corporation, and Elsevier B.V.

Key Benefits For Stakeholders
●This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the advanced clinical decision support platforms market analysis from 2021 to 2031 to identify the prevailing advanced clinical decision support platforms market opportunities.
●The market research is offered along with information related to key drivers, restraints, and opportunities.
●Porter’s five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
●In-depth analysis of the advanced clinical decision support platforms market segmentation assists to determine the prevailing market opportunities.
●Major countries in each region are mapped according to their revenue contribution to the global market.
●Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
●The report includes the analysis of the regional as well as global advanced clinical decision support platforms market trends, key players, market segments, application areas, and market growth strategies.

Key Market Segments

By Model
● Knowledge based
● Non Knowledge based

By Setting
● Ambulatory care
● Hospitals

By Type
● Therapeutic
○ Setting
○ Hospitals
○ Ambulatory care
● Diagnostic
○ Setting
○ Hospitals
○ Ambulatory care

By Region
● North America
○ U.S.
○ Canada
○ Mexico
● Europe
○ Germany
○ France
○ UK
○ Italy
○ Spain
○ Rest of Europe
● Asia-Pacific
○ Japan
○ China
○ India
○ Australia
○ South Korea
○ Rest of Asia-Pacific
● LAMEA
○ Brazil
○ Saudi Arabia
○ South Africa
○ Rest of LAMEA

● Key Market Players
○ Oracle Corporation
○ Wolters Kluwer
○ Meditech
○ IBM Watson Health
○ Veradigm Inc.
○ Epic Systems Corporation
○ NextGen Healthcare Inc.
○ Zynx health
○ Siemens Healthineers
○ Relx Group

❖ レポートの目次 ❖

CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research Methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO Perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.3. Porter’s five forces analysis
3.3.1. Bargaining power of suppliers
3.3.2. Bargaining power of buyers
3.3.3. Threat of substitutes
3.3.4. Threat of new entrants
3.3.5. Intensity of rivalry
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Growth in incidence of medication error
3.4.1.2. Increase in application of electronic health record system
3.4.1.3. Rise in geriatric population and increase in prevalence of chronic diseases

3.4.2. Restraints
3.4.2.1. Data security concerns related to cloud based CDSS
3.4.2.2. Increase in the incidence of data breach

3.4.3. Opportunities
3.4.3.1. Increase in number of adoptions of key strategies for development of market

3.5. COVID-19 Impact Analysis on the market
CHAPTER 4: ADVANCED CLINICAL DECISION SUPPORT PLATFORMS MARKET, BY TYPE
4.1. Overview
4.1.1. Market size and forecast
4.2. Therapeutic
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market share analysis by country
4.2.4. Therapeutic Advanced Clinical Decision Support Platforms Market by Setting
4.2.4.1. Hospitals Market size and forecast, by region
4.2.4.2. Ambulatory care Market size and forecast, by region
4.3. Diagnostic
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market share analysis by country
4.3.4. Diagnostic Advanced Clinical Decision Support Platforms Market by Setting
4.3.4.1. Hospitals Market size and forecast, by region
4.3.4.2. Ambulatory care Market size and forecast, by region
CHAPTER 5: ADVANCED CLINICAL DECISION SUPPORT PLATFORMS MARKET, BY MODEL
5.1. Overview
5.1.1. Market size and forecast
5.2. Knowledge based
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market share analysis by country
5.3. Non Knowledge based
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market share analysis by country
CHAPTER 6: ADVANCED CLINICAL DECISION SUPPORT PLATFORMS MARKET, BY SETTING
6.1. Overview
6.1.1. Market size and forecast
6.2. Hospitals
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market share analysis by country
6.3. Ambulatory care
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market share analysis by country
CHAPTER 7: ADVANCED CLINICAL DECISION SUPPORT PLATFORMS MARKET, BY REGION
7.1. Overview
7.1.1. Market size and forecast By Region
7.2. North America
7.2.1. Key trends and opportunities
7.2.2. Market size and forecast, by Type
7.2.2.1. North America Therapeutic Advanced Clinical Decision Support Platforms Market by Setting
7.2.2.2. North America Diagnostic Advanced Clinical Decision Support Platforms Market by Setting
7.2.3. Market size and forecast, by Model
7.2.4. Market size and forecast, by Setting
7.2.5. Market size and forecast, by country
7.2.5.1. U.S.
7.2.5.1.1. Key market trends, growth factors and opportunities
7.2.5.1.2. Market size and forecast, by Type
7.2.5.1.3. Market size and forecast, by Model
7.2.5.1.4. Market size and forecast, by Setting
7.2.5.2. Canada
7.2.5.2.1. Key market trends, growth factors and opportunities
7.2.5.2.2. Market size and forecast, by Type
7.2.5.2.3. Market size and forecast, by Model
7.2.5.2.4. Market size and forecast, by Setting
7.2.5.3. Mexico
7.2.5.3.1. Key market trends, growth factors and opportunities
7.2.5.3.2. Market size and forecast, by Type
7.2.5.3.3. Market size and forecast, by Model
7.2.5.3.4. Market size and forecast, by Setting
7.3. Europe
7.3.1. Key trends and opportunities
7.3.2. Market size and forecast, by Type
7.3.2.1. Europe Therapeutic Advanced Clinical Decision Support Platforms Market by Setting
7.3.2.2. Europe Diagnostic Advanced Clinical Decision Support Platforms Market by Setting
7.3.3. Market size and forecast, by Model
7.3.4. Market size and forecast, by Setting
7.3.5. Market size and forecast, by country
7.3.5.1. Germany
7.3.5.1.1. Key market trends, growth factors and opportunities
7.3.5.1.2. Market size and forecast, by Type
7.3.5.1.3. Market size and forecast, by Model
7.3.5.1.4. Market size and forecast, by Setting
7.3.5.2. France
7.3.5.2.1. Key market trends, growth factors and opportunities
7.3.5.2.2. Market size and forecast, by Type
7.3.5.2.3. Market size and forecast, by Model
7.3.5.2.4. Market size and forecast, by Setting
7.3.5.3. UK
7.3.5.3.1. Key market trends, growth factors and opportunities
7.3.5.3.2. Market size and forecast, by Type
7.3.5.3.3. Market size and forecast, by Model
7.3.5.3.4. Market size and forecast, by Setting
7.3.5.4. Italy
7.3.5.4.1. Key market trends, growth factors and opportunities
7.3.5.4.2. Market size and forecast, by Type
7.3.5.4.3. Market size and forecast, by Model
7.3.5.4.4. Market size and forecast, by Setting
7.3.5.5. Spain
7.3.5.5.1. Key market trends, growth factors and opportunities
7.3.5.5.2. Market size and forecast, by Type
7.3.5.5.3. Market size and forecast, by Model
7.3.5.5.4. Market size and forecast, by Setting
7.3.5.6. Rest of Europe
7.3.5.6.1. Key market trends, growth factors and opportunities
7.3.5.6.2. Market size and forecast, by Type
7.3.5.6.3. Market size and forecast, by Model
7.3.5.6.4. Market size and forecast, by Setting
7.4. Asia-Pacific
7.4.1. Key trends and opportunities
7.4.2. Market size and forecast, by Type
7.4.2.1. Asia-Pacific Therapeutic Advanced Clinical Decision Support Platforms Market by Setting
7.4.2.2. Asia-Pacific Diagnostic Advanced Clinical Decision Support Platforms Market by Setting
7.4.3. Market size and forecast, by Model
7.4.4. Market size and forecast, by Setting
7.4.5. Market size and forecast, by country
7.4.5.1. Japan
7.4.5.1.1. Key market trends, growth factors and opportunities
7.4.5.1.2. Market size and forecast, by Type
7.4.5.1.3. Market size and forecast, by Model
7.4.5.1.4. Market size and forecast, by Setting
7.4.5.2. China
7.4.5.2.1. Key market trends, growth factors and opportunities
7.4.5.2.2. Market size and forecast, by Type
7.4.5.2.3. Market size and forecast, by Model
7.4.5.2.4. Market size and forecast, by Setting
7.4.5.3. India
7.4.5.3.1. Key market trends, growth factors and opportunities
7.4.5.3.2. Market size and forecast, by Type
7.4.5.3.3. Market size and forecast, by Model
7.4.5.3.4. Market size and forecast, by Setting
7.4.5.4. Australia
7.4.5.4.1. Key market trends, growth factors and opportunities
7.4.5.4.2. Market size and forecast, by Type
7.4.5.4.3. Market size and forecast, by Model
7.4.5.4.4. Market size and forecast, by Setting
7.4.5.5. South Korea
7.4.5.5.1. Key market trends, growth factors and opportunities
7.4.5.5.2. Market size and forecast, by Type
7.4.5.5.3. Market size and forecast, by Model
7.4.5.5.4. Market size and forecast, by Setting
7.4.5.6. Rest of Asia-Pacific
7.4.5.6.1. Key market trends, growth factors and opportunities
7.4.5.6.2. Market size and forecast, by Type
7.4.5.6.3. Market size and forecast, by Model
7.4.5.6.4. Market size and forecast, by Setting
7.5. LAMEA
7.5.1. Key trends and opportunities
7.5.2. Market size and forecast, by Type
7.5.2.1. LAMEA Therapeutic Advanced Clinical Decision Support Platforms Market by Setting
7.5.2.2. LAMEA Diagnostic Advanced Clinical Decision Support Platforms Market by Setting
7.5.3. Market size and forecast, by Model
7.5.4. Market size and forecast, by Setting
7.5.5. Market size and forecast, by country
7.5.5.1. Brazil
7.5.5.1.1. Key market trends, growth factors and opportunities
7.5.5.1.2. Market size and forecast, by Type
7.5.5.1.3. Market size and forecast, by Model
7.5.5.1.4. Market size and forecast, by Setting
7.5.5.2. Saudi Arabia
7.5.5.2.1. Key market trends, growth factors and opportunities
7.5.5.2.2. Market size and forecast, by Type
7.5.5.2.3. Market size and forecast, by Model
7.5.5.2.4. Market size and forecast, by Setting
7.5.5.3. South Africa
7.5.5.3.1. Key market trends, growth factors and opportunities
7.5.5.3.2. Market size and forecast, by Type
7.5.5.3.3. Market size and forecast, by Model
7.5.5.3.4. Market size and forecast, by Setting
7.5.5.4. Rest of LAMEA
7.5.5.4.1. Key market trends, growth factors and opportunities
7.5.5.4.2. Market size and forecast, by Type
7.5.5.4.3. Market size and forecast, by Model
7.5.5.4.4. Market size and forecast, by Setting
CHAPTER 8: COMPETITIVE LANDSCAPE
8.1. Introduction
8.2. Top winning strategies
8.3. Product Mapping of Top 10 Player
8.4. Competitive Dashboard
8.5. Competitive Heatmap
8.6. Top player positioning, 2021
CHAPTER 9: COMPANY PROFILES
9.1. IBM Watson Health
9.1.1. Company overview
9.1.2. Key Executives
9.1.3. Company snapshot
9.1.4. Operating business segments
9.1.5. Product portfolio
9.1.6. Business performance
9.1.7. Key strategic moves and developments
9.2. Meditech
9.2.1. Company overview
9.2.2. Key Executives
9.2.3. Company snapshot
9.2.4. Operating business segments
9.2.5. Product portfolio
9.3. NextGen Healthcare Inc.
9.3.1. Company overview
9.3.2. Key Executives
9.3.3. Company snapshot
9.3.4. Operating business segments
9.3.5. Product portfolio
9.3.6. Business performance
9.4. Siemens Healthineers
9.4.1. Company overview
9.4.2. Key Executives
9.4.3. Company snapshot
9.4.4. Operating business segments
9.4.5. Product portfolio
9.4.6. Business performance
9.4.7. Key strategic moves and developments
9.5. Veradigm Inc.
9.5.1. Company overview
9.5.2. Key Executives
9.5.3. Company snapshot
9.5.4. Operating business segments
9.5.5. Product portfolio
9.5.6. Business performance
9.5.7. Key strategic moves and developments
9.6. Wolters Kluwer
9.6.1. Company overview
9.6.2. Key Executives
9.6.3. Company snapshot
9.6.4. Operating business segments
9.6.5. Product portfolio
9.6.6. Business performance
9.6.7. Key strategic moves and developments
9.7. Zynx health
9.7.1. Company overview
9.7.2. Key Executives
9.7.3. Company snapshot
9.7.4. Operating business segments
9.7.5. Product portfolio
9.8. Oracle Corporation
9.8.1. Company overview
9.8.2. Key Executives
9.8.3. Company snapshot
9.8.4. Operating business segments
9.8.5. Product portfolio
9.8.6. Business performance
9.8.7. Key strategic moves and developments
9.9. Epic Systems Corporation
9.9.1. Company overview
9.9.2. Key Executives
9.9.3. Company snapshot
9.9.4. Operating business segments
9.9.5. Product portfolio
9.9.6. Key strategic moves and developments
9.10. Relx Group
9.10.1. Company overview
9.10.2. Key Executives
9.10.3. Company snapshot
9.10.4. Operating business segments
9.10.5. Product portfolio
9.10.6. Business performance
9.10.7. Key strategic moves and developments



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