医療分析の世界市場2021-2026:成長・動向・新型コロナの影響・市場予測

◆英語タイトル:Healthcare Analytics Market - Growth, Trends, Covid-19 Impact, and Forecasts (2021 - 2026)
◆商品コード:MOR21MR093
◆発行会社(リサーチ会社):Mordor Intelligence
◆発行日:2021年2月
◆ページ数:121
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本調査資料では、世界の医療分析市場について調査し、イントロダクション、調査手法、エグゼクティブサマリー、市場動向、技術別(予測分析、規範分析、記述分析)分析、用途別(臨床データ分析、財務データ分析、管理データ分析)分析、製品別(ハードウェア、ソフトウェア、サービス)分析、配信モード別(オンプレミスモデル、クラウドベースモデル)分析、エンドユーザー別(医療機関、製薬産業、バイオテクノロジー産業、学術機関)分析、地域別分析、競争状況、市場機会/将来の見通しなどを掲載しています。
・イントロダクション
・調査手法
・エグゼクティブサマリー
・市場動向
・世界の医療分析市場規模:技術別(予測分析、規範分析、記述分析)
・世界の医療分析市場規模:用途別(臨床データ分析、財務データ分析、管理データ分析)
・世界の医療分析市場規模:製品別(ハードウェア、ソフトウェア、サービス)
・世界の医療分析市場規模:配信モード別(オンプレミスモデル、クラウドベースモデル)
・世界の医療分析市場規模:エンドユーザー別(医療機関、製薬産業、バイオテクノロジー産業、学術機関)
・世界の医療分析市場規模:地域別
・競争状況
・市場機会/将来の見通し
【レポートの概要】

The Healthcare analytics market is expected to register a CAGR of nearly 18.5% over the forecast period, with an estimated market size of USD 13,525 million in 2020 and expected to reach 45,450 million by 2026.

In the rush to contain COVID-19, market players are rapidly developing artificial intelligence and data analytics in healthcare, paving the way for the future of the technologies. Researchers have leveraged these tools to do everything from tracking hospital capacity to identifying high-risk patients, and many believe that these technologies are critical to preparing for similar situations in the future.

The COVID-19 Insights Partnership will leverage big data analytics tools to conduct research and find possible treatments for the virus. For instance, in July 2020, the Department of Energy (DOE), the Department of Health and Human Services (HHS), and the Department of Veterans Affairs had announced a new big data analytics initiative to coordinate and share COVID-19 information. Research and analysis conducted by the COVID-19 Insights Partnership will focus on the vaccine and therapeutic development and outcomes, virology, and other critical scientific topics to better understand COVID-19.

Also, increasing funding to healthcare technology companies that developed mHealth apps, big data analytics, and the Internet of Things (IoT) offerings will boost global market size. For instance, in 2020, IBM, Oracle launched blockchain to integrate COVID-19 data from World Health Organization, CDC. Technological advances facilitating information sharing and improved compliance to Health Insurance Portability and Accountability Act (HIPAA) patient data confidentiality standards are expected to accelerate business growth.

The factors such as the emergence of big data in the healthcare industry, increased focus on collection and analysis of data from different sources for better customer service, technological advancements and the advent of social media and its impact on the healthcare industry are driving the healthcare analytics market.

Healthcare analytics continue to bring several changes in the healthcare industry across many countries. Many federal policies, programs, and actions were initiated by the governments of developed and developing countries across the world, to experience progress in healthcare services. The European Union has developed a project called “Bigmedilytics” which is regarding the reduction of cost, better improvement of patients and better access to the health networks.

Apart from this, the use of connected devices that generate huge amounts of data is expected to increase significantly; this raw data can be analyzed to make better enterprise decisions. According to ETNO, the number of IoT active connections in healthcare in the Europe during 2019 stood at 2.79 million and expected to reach 10.34 million by 2025. Such growth further strengthens the demand for data analytics and tools to gain data-driven insights into the industry.

However, data storage and analysing the raw data require properly skilled personnel. There is a growing skill gap that is acting as a barrier to the healthcare sector. Lack of broad skills, knowledge, expertise, and experience required to work in the data analytics field is a significant concern.

Key Market Trends

Predictive Analytics Market is Expected to Grow Good Rate Over The Forecast Period

Predictive analytics tools are helping healthcare organizations stay ahead of poor outcomes, resource shortages, and other impacts of COVID-19. The predictive analytics segment is anticipated to witness lucrative CAGR over the forecast period. In June 2020, Cleveland Clinic researchers created a predictive model that can forecast patient volume, bed capacity, ventilator availability, and other metrics. The model provides timely, reliable information to optimize care delivery for COVID-19 and other patients.

Using analytics tools, researchers can find patterns and trends in different places that can inform social distancing guidelines and other measures. In 2020, a team from Binghamton University, State University of New York developed several predictive analytics models to examine COVID-19 trends and patterns around the world. Thus, having a positive impact on the segment studied.

Owing to its ability to predict possible outcomes and its implications on crucial business metrics. It is comparatively complex with few players optimizing it to achieve the best outcomes by identifying data uncertainties. The adoption of predictive analytics in better diagnosing the patient results in reducing the customer cost and increasing customer satisfaction. According to a study by the Society of Actuaries in 2019, predictive analytics amongst healthcare enterprises resulted in a 39% reduced cost and a 42% increase in patient satisfaction. Hence, in a view of afforementioned factors the segment is likely to boost in upcoming years.

North America is Expected to Hold the Major Share of the Market Over the Forecast Period

In the COVID-19 pandemic, analytics transcends benchmarking and regulatory reporting and becomes a critical business strategy. In 2020, the National Institutes of Health launched a centralized, secure enclave to store and study vast amounts of medical record data from people diagnosed with coronavirus disease across the United State. It is part of the National COVID Cohort Collaborative (N3C), to help scientists analyze these data to understand the disease and develop treatments. This initiative aimed at transforming clinical information into knowledge urgently needed to study COVID-19, including health risk factors that indicate better or worse outcomes of the disease, and identify potentially effective treatments.

In 2020, Definitive Healthcare partnered with ESRI and develop a platform that enables analysis and monitoring of bed capacity in the hospitals and potential risk of COVID-19 by geographical areas in the United States. Thus, likely to flourish the market in the region.

The United States healthcare analytics market holds the largest market share in the North America region due to the healthcare infrastructure in the United States is experiencing a positive trend in the healthcare analytics domain. The substantial growth avenues in the region can be attributed to the presence of several globally prominent players in the region. For example, in the federal government is encouraging the use of its healthcare data through various policies and initiatives. Affordable Care Act (ACA), the most important healthcare legislation in the United States, has authorized the Department of Health and Human Services to release data that promote transparency in the markets for healthcare and medical insurance. The government is offering incentive payments for healthcare providers to use EMRs and has taken necessary actions to liberate data from agencies, like Centers for Medicare and Medicaid Services, the Food and Drug Administration, and Centers for Disease Control.

Similarly, strategic initiatives by key market players and the government initiatives undertaken in various other countries such as Mexico and Canada that have the potential to help patients by improving the quality of healthcare is driving the healthcare analytics market. For instance, in 2020, Hoffmann-La Roche Limited (Roche Canada) launched the Roche Data Science Coalition to develop solutions to the challenges of the COVID-19 pandemic in Canada. The Coalition developed a centralized location with more than 200 curated publicly available population datasets gathered from sources across the globe to enhance COVID-19 research. Healthcare organisations also realize that social determinants of health contribute to the wellbeing of a patient more than medical issues, thus regional market is likely to grow at faster pace.

Competitive Landscape

A number of providers of healthcare analytics are increasingly focused on offering scalable solutions that can adapt to advancements in technology as well as human expertise and skills in healthcare organizations. Key players are adopting various market strategies to enhance their market presence which has led to many recent developments.

Reasons to Purchase this report:

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【レポートの目次】

1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS
4.1 Market Overview
4.2 Market Drivers
4.2.1 Technological Advancements and Favorable Governemnt Initiatives
4.2.2 Emergence of Big Data in Healthcare Industry
4.3 Market Restraints
4.3.1 Cost and Complexity of Software
4.3.2 Data Integrity and Privacy Concerns
4.3.3 Lack of Proper Skilled Labors
4.4 Porter’s Five Force Analysis
4.4.1 Threat of New Entrants
4.4.2 Bargaining Power of Buyers/Consumers
4.4.3 Bargaining Power of Suppliers
4.4.4 Threat of Substitute Products
4.4.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION
5.1 By Technology Type
5.1.1 Predictive Analytics
5.1.2 Prescriptive Analytics
5.1.3 Descriptive Analytics
5.2 By Application
5.2.1 Clinical Data Analytics
5.2.2 Financial Data Analytics
5.2.3 Administrative Data Analytics
5.3 By Product
5.3.1 Hardware
5.3.2 Software
5.3.3 Service
5.4 By Mode of Delivery
5.4.1 On-Premise Model
5.4.2 Cloud-Based Model
5.5 By End User
5.5.1 Healthcare Provider
5.5.2 Pharmaceutical Industry
5.5.3 Biotechnology Industry
5.5.4 Academic Organization
5.6 Geography
5.6.1 North America
5.6.1.1 United States (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.1.2 Canada (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.1.3 Mexico (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.2 Europe
5.6.2.1 Germany (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.2.2 United Kingdom (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.2.3 France (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.2.4 Italy (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.2.5 Spain (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.2.6 Rest of Europe (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.3 Asia-Pacific
5.6.3.1 China (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.3.2 Japan (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.3.3 India (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.3.4 Australia (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.3.5 South Korea (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.3.6 Rest of Asia-Pacific (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.4 Middle East and Africa
5.6.4.1 GCC (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.4.2 South Africa (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.4.3 Rest of Middle East and Africa (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.5 South America
5.6.5.1 Brazil (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.5.2 Argentina (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)
5.6.5.3 Rest of South America (By Technology Type, By Application, By Product, By Mode of Delivery and By End User)

6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Datawizard SRL
6.1.2 3M Company
6.1.3 Allscripts Healthcare Solutions
6.1.4 Cerner Corporation
6.1.5 Digital Reasoning Systems Inc.
6.1.6 HP Europe BV
6.1.7 Information Builders Inc
6.1.8 International Business Machines Corporation (IBM)
6.1.9 IQVIA
6.1.10 Mckesson Corporation
6.1.11 MEDai, Inc.

7 MARKET OPPORTUNITIES AND FUTURE TRENDS



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