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Global Real World Evidence/RWE Solutions Market to reach USD 3.08 Billion by 2028.

Global Real World Evidence/RWE Solutions Market to reach USD 3.08 Billion by 2028.

Product Code: HLSHIT-83231745
Publish Date: 25-02-2022
Page: 200

Global Real World Evidence/RWE Solutions Market is valued approximately USD 1.03 Billion in 2021 and is anticipated to grow with a healthy growth rate of more than 14.6% over the forecast period 2022-2028. Real World Evidence in medicine refers to the evidences that are collected from real world data, which is a factual data acquire from outside controlled trials and produced through routine clinical practice. RWD creates extrapolative results, insights, prudence on diseases, unmet patient needs, medical devices, and the value provided by the goods to patient demographics and sub-populations as per the observational data. RWE offers data about various areas such as effectiveness studies, course of disease & natural history, outcome study, and safety surveillance. The growing support of the governments for the penetration of RWE solutions, the growing prevalence of chronic diseases, the rising geriatric population, coupled with the increasing R&D investments is the primary factors that may augment the market demand across the globe. For instance, in May 2021, Five RWD and analytics organizations that is Aetion, Flatiron Health, IQVIA, Syapse, and Tempus come into an industry association with the objective of advance the usage of RWE solutions to support governmental decisions. Thereby, an increasing number of companies’ initiatives for promoting the adoption of the RWE solution are further driving the market growth. However, the lack of universal acceptance for methodological standards and data processing infrastructure impedes the growth of the market over the forecast period of 2022-2028. Also, a growing focus on end-to-end RWE services is anticipated to act as a catalyzing factor for the market demand during the forecast period.

The key regions considered for the Global Real World Evidence/RWE Solutions Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America is the leading region across the world in terms of market share owing to increasing government initiatives for the adoption of RWE studies, coupled with the growing number of RWE service providers. Whereas, Asia-Pacific is anticipated to exhibit the highest CAGR over the forecast period 2022-2028. Factors such as the presence of many Contract Research Organizations (CROs) and manufacturing companies, as well as growing demand for better healthcare services, would create lucrative growth prospects for the Real World Evidence/RWE Solutions Market across the Asia-Pacific region.
Major market players included in this report are:
Cognizant
Oracle
ICON, plc.
PAREXEL International Corporation
Cerner Corporation
Flatiron Health
PerkinElmer
Anthem
Cegedim Health Data
SAS

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component
Services
Data Sets
Clinical Setting Data
Claims Data
Pharmacy Data
Patient Powered Data
By Therapeutic area
Oncology
Cardiovascular
Neurology
Immunology
Others
By End Users
Pharmaceutical and Medical Devices Companies
Healthcare Providers
Healthcare Payers
Other End Users
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Real World Evidence/RWE Solutions Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Billion)
1.2.1. Real World Evidence/RWE Solutions Market, by Region, 2020-2028 (USD Billion)
1.2.2. Real World Evidence/RWE Solutions Market, by Component, 2020-2028 (USD Billion)
1.2.3. Real World Evidence/RWE Solutions Market, by Therapeutic area, 2020-2028 (USD Billion)
1.2.4. Real World Evidence/RWE Solutions Market, by End Users, 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Real World Evidence/RWE Solutions Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Real World Evidence/RWE Solutions Market Dynamics
3.1. Real World Evidence/RWE Solutions Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Increasing geriatric population and the subsequent increase in the prevalence of chronic diseases
3.1.1.2. Increasing support from the regulatory bodies for the adoption of RWE solutions
3.1.2. Market Challenges
3.1.2.1. Lack of universal acceptance for methodological standards and data processing infrastructure
3.1.3. Market Opportunities
3.1.3.1. Growing focus on end-to-end RWE services
Chapter 4. Global Real World Evidence/RWE Solutions Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2019-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Real World Evidence/RWE Solutions Market, by Component
6.1. Market Snapshot
6.2. Global Real World Evidence/RWE Solutions Market by Component, Performance – Potential Analysis
6.3. Global Real World Evidence/RWE Solutions Market Estimates & Forecasts by Component 2019-2028 (USD Billion)
6.4. Real World Evidence/RWE Solutions Market, Sub Segment Analysis
6.4.1. Services
6.4.2. Data Sets
6.4.3. Clinical Setting Data
6.4.4. Claims Sata
6.4.5. Pharmacy Data
6.4.6. Patient Powered Data
Chapter 7. Global Real World Evidence/RWE Solutions Market, by Therapeutic area
7.1. Market Snapshot
7.2. Global Real World Evidence/RWE Solutions Market by Therapeutic area, Performance – Potential Analysis
7.3. Global Real World Evidence/RWE Solutions Market Estimates & Forecasts by Therapeutic area 2019-2028 (USD Billion)
7.4. Real World Evidence/RWE Solutions Market, Sub Segment Analysis
7.4.1. Oncology
7.4.2. Cardiovascular
7.4.3. Neurology
7.4.4. Immunology
7.4.5. Others
Chapter 8. Global Real World Evidence/RWE Solutions Market, by End Users
8.1. Market Snapshot
8.2. Global Real World Evidence/RWE Solutions Market by End Users, Performance – Potential Analysis
8.3. Global Real World Evidence/RWE Solutions Market Estimates & Forecasts by End Users 2019-2028 (USD Billion)
8.4. Real World Evidence/RWE Solutions Market, Sub Segment Analysis
8.4.1. Pharmaceutical and Medical Devices Companies
8.4.2. Healthcare Providers
8.4.3. Healthcare Payers
8.4.4. Other End Users
Chapter 9. Global Real World Evidence/RWE Solutions Market, Regional Analysis
9.1. Real World Evidence/RWE Solutions Market, Regional Market Snapshot
9.2. North America Real World Evidence/RWE Solutions Market
9.2.1. U.S. Real World Evidence/RWE Solutions Market
9.2.1.1. Component estimates & forecasts, 2019-2028
9.2.1.2. Therapeutic area estimates & forecasts, 2019-2028
9.2.1.3. End Users estimates & forecasts, 2019-2028
9.2.2. Canada Real World Evidence/RWE Solutions Market
9.3. Europe Real World Evidence/RWE Solutions Market Snapshot
9.3.1. U.K. Real World Evidence/RWE Solutions Market
9.3.2. Germany Real World Evidence/RWE Solutions Market
9.3.3. France Real World Evidence/RWE Solutions Market
9.3.4. Spain Real World Evidence/RWE Solutions Market
9.3.5. Italy Real World Evidence/RWE Solutions Market
9.3.6. Rest of Europe Real World Evidence/RWE Solutions Market
9.4. Asia-Pacific Real World Evidence/RWE Solutions Market Snapshot
9.4.1. China Real World Evidence/RWE Solutions Market
9.4.2. India Real World Evidence/RWE Solutions Market
9.4.3. Japan Real World Evidence/RWE Solutions Market
9.4.4. Australia Real World Evidence/RWE Solutions Market
9.4.5. South Korea Real World Evidence/RWE Solutions Market
9.4.6. Rest of Asia Pacific Real World Evidence/RWE Solutions Market
9.5. Latin America Real World Evidence/RWE Solutions Market Snapshot
9.5.1. Brazil Real World Evidence/RWE Solutions Market
9.5.2. Mexico Real World Evidence/RWE Solutions Market
9.6. Rest of The World Real World Evidence/RWE Solutions Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Cognizant
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Product Summary
10.2.1.5. Recent Developments
10.2.2. Oracle
10.2.3. ICON, plc.
10.2.4. PAREXEL International Corporation
10.2.5. Cerner Corporation
10.2.6. Flatiron Health
10.2.7. PerkinElmer
10.2.8. Anthem
10.2.9. Cegedim Health Data
10.2.10. SAS
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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