
Decentralized Clinical Trial Platforms 2025-2033 Overview: Trends, Competitor Dynamics, and Opportunities
Decentralized Clinical Trial Platforms by Type (Cloud Based, Web Based), by North America (United States, Canada, Mexico), by South America (Brazil, Argentina, Rest of South America), by Europe (United Kingdom, Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, Rest of Middle East & Africa), by Asia Pacific (China, India, Japan, South Korea, ASEAN, Oceania, Rest of Asia Pacific) Forecast 2025-2033
Key Insights
Market Overview
The global decentralized clinical trial (DCT) platform market is rapidly expanding, driven by the need for efficient, cost-effective, and patient-centric clinical research. The market size is projected to reach USD XX million by 2033, growing at a CAGR of XX% during the forecast period (2023-2033). Key drivers include the increasing complexity of clinical trials, the growing adoption of telemedicine, and the need for faster and more flexible data collection.
Market Trends and Segmentation
The market is segmented into type (cloud-based and web-based) and company. Leading companies in the market include Medidata, IQVIA, Veeva Systems, and Castor. The market is also segmented by region, with North America dominating in terms of revenue share. Emerging trends in the market include the adoption of artificial intelligence (AI) and blockchain technology, the development of personalized medicine, and the increasing use of decentralized trial sites.

Decentralized Clinical Trial Platforms Trends
The global Decentralized Clinical Trial (DCT) Platforms market size was valued at USD 395.6 million in 2022 and is projected to expand at a compound annual growth rate (CAGR) of 15.2% from 2023 to 2030. The increasing adoption of DCTs, advancements in technology, and the growing need for patient-centric trials are key factors driving the market growth. DCTs offer several benefits over traditional clinical trials, including reduced costs, increased patient participation, and improved data quality. As a result, pharmaceutical companies and CROs are increasingly adopting DCT platforms to streamline their clinical trial processes.
Cloud-based DCT platforms are gaining popularity due to their scalability, flexibility, and cost-effectiveness. These platforms can be accessed from anywhere with an internet connection, making them ideal for global clinical trials. Web-based DCT platforms are another popular option, as they are easy to use and do not require any software installation. However, they may not be as scalable or flexible as cloud-based platforms.
Driving Forces: What's Propelling the Decentralized Clinical Trial Platforms
The adoption of DCT platforms is being driven by several factors, including the rising cost of traditional clinical trials, the increasing complexity of clinical trials, and the growing need for patient-centric trials.
The cost of traditional clinical trials has been rising steadily over the past few years. This is due to a number of factors, including the increasing cost of drugs, the need for larger and more complex trials, and the increasing regulatory burden. DCTs can help to reduce the cost of clinical trials by eliminating the need for travel and other expenses associated with traditional trials.
The complexity of clinical trials is also increasing. This is due to the development of new therapies and the need to evaluate new endpoints. DCTs can help to simplify clinical trials by making it easier to collect data and track patient progress.
The need for patient-centric trials is also growing. Patients are increasingly demanding to be involved in the clinical trial process and to have a say in the design and conduct of trials. DCTs can help to make clinical trials more patient-centric by giving patients more control over their participation and by making it easier for them to participate in trials.

Challenges and Restraints in Decentralized Clinical Trial Platforms
The adoption of DCT platforms is not without its challenges. One of the biggest challenges is ensuring data quality. DCTs rely on patients to self-report data, which can lead to errors and missing data. Another challenge is ensuring patient engagement. Patients may be less likely to participate in DCTs if they do not understand the benefits or if they find the process too burdensome.
Other challenges include:
- Regulatory uncertainty: The regulatory landscape for DCTs is still evolving, and there is some uncertainty about how they will be regulated in the future. This uncertainty can make it difficult for companies to plan and conduct DCTs.
- Lack of standardization: There is a lack of standardization in the DCT industry, which can make it difficult to compare data from different trials. This can make it difficult to draw conclusions from DCT data.
- Data security: DCTs involve the collection and storage of sensitive patient data. This data must be protected from unauthorized access and use.
Key Region or Country & Segment to Dominate the Market
North America is the largest market for DCT platforms, and it is expected to continue to dominate the market over the forecast period. This is due to the high adoption of DCTs in the region, the presence of a large number of pharmaceutical companies and CROs, and the favorable regulatory environment.
Europe is the second largest market for DCT platforms, and it is expected to grow at a significant rate over the forecast period. This is due to the increasing adoption of DCTs in the region, the presence of a large number of pharmaceutical companies and CROs, and the favorable regulatory environment.
Asia Pacific is the fastest growing market for DCT platforms, and it is expected to grow at a significant rate over the forecast period. This is due to the increasing adoption of DCTs in the region, the presence of a large number of pharmaceutical companies and CROs, and the favorable regulatory environment.
Cloud-based DCT platforms are expected to dominate the market over the forecast period. This is due to the scalability, flexibility, and cost-effectiveness of these platforms. Web-based DCT platforms are expected to grow at a significant rate over the forecast period. This is due to the ease of use and the lack of software installation required for these platforms.
Growth Catalysts in Decentralized Clinical Trial Platforms Industry
The growth of the DCT market is being driven by a number of factors, including:
- The rising cost of traditional clinical trials
- The increasing complexity of clinical trials
- The growing need for patient-centric trials
- The development of new technologies
- The increasing adoption of DCTs by pharmaceutical companies and CROs
Leading Players in the Decentralized Clinical Trial Platforms
- Medidata
- IQVIA
- Veeva Systems
- Castor
- Delve Health
- Jeeva
- Signant Health
- Clinical Ink
- ObvioHealth
- THREAD
- Science 37
- Medable
- Clario
- Aparito
- Viedoc Technologies
- Crucial Data Solutions
- Medrio
- Alira Health
- Fortrea
- Huma
- Cliniv Health Tech
- Datacubed Health
Significant Developments in Decentralized Clinical Trial Platforms Sector
- In 2021, Medidata acquired SHYFT, a provider of patient engagement and data collection solutions. This acquisition will help Medidata to strengthen its DCT platform and expand its offerings to pharmaceutical companies and CROs.
- In 2022, IQVIA launched a new DCT platform called IQVIA Orchestrated Clinical Trials. This platform is designed to help pharmaceutical companies and CROs to design, conduct, and manage DCTs more efficiently.
- In 2022, Veeva Systems launched a new DCT platform called Veeva Vault EDC. This platform is designed to help pharmaceutical companies and CROs to manage clinical data more efficiently.
Comprehensive Coverage Decentralized Clinical Trial Platforms Report
This report provides a comprehensive overview of the DCT market, including market size, growth drivers, challenges, and restraints. The report also provides a detailed analysis of the key segments and regions in the market.
Decentralized Clinical Trial Platforms Segmentation
-
1. Type
- 1.1. Cloud Based
- 1.2. Web Based
Decentralized Clinical Trial Platforms Segmentation By Geography
-
1. North America
- 1.1. United States
- 1.2. Canada
- 1.3. Mexico
-
2. South America
- 2.1. Brazil
- 2.2. Argentina
- 2.3. Rest of South America
-
3. Europe
- 3.1. United Kingdom
- 3.2. Germany
- 3.3. France
- 3.4. Italy
- 3.5. Spain
- 3.6. Russia
- 3.7. Benelux
- 3.8. Nordics
- 3.9. Rest of Europe
-
4. Middle East & Africa
- 4.1. Turkey
- 4.2. Israel
- 4.3. GCC
- 4.4. North Africa
- 4.5. South Africa
- 4.6. Rest of Middle East & Africa
-
5. Asia Pacific
- 5.1. China
- 5.2. India
- 5.3. Japan
- 5.4. South Korea
- 5.5. ASEAN
- 5.6. Oceania
- 5.7. Rest of Asia Pacific

Decentralized Clinical Trial Platforms REPORT HIGHLIGHTS
Aspects | Details |
---|---|
Study Period | 2019-2033 |
Base Year | 2024 |
Estimated Year | 2025 |
Forecast Period | 2025-2033 |
Historical Period | 2019-2024 |
Growth Rate | CAGR of XX% from 2019-2033 |
Segmentation |
|
Frequently Asked Questions
What is the projected Compound Annual Growth Rate (CAGR) of the Decentralized Clinical Trial Platforms ?
The projected CAGR is approximately XX%.
Can you provide details about the market size?
The market size is estimated to be USD XXX million as of 2022.
Are there any restraints impacting market growth?
.
What are the notable trends driving market growth?
.
Which companies are prominent players in the Decentralized Clinical Trial Platforms?
Key companies in the market include Medidata,IQVIA,Veeva Systems,Castor,Delve Health,Jeeva,Signant Health,Clinical Ink,ObvioHealth,THREAD,Science 37,Medable, Clario,Aparito,Viedoc Technologies,Crucial Data Solutions,Medrio,Alira Health,Fortrea,Huma,Cliniv Health Tech,Datacubed Health
What pricing options are available for accessing the report?
Pricing options include single-user, multi-user, and enterprise licenses priced at USD 4480.00 , USD 6720.00, and USD 8960.00 respectively.
What are the main segments of the Decentralized Clinical Trial Platforms?
The market segments include
Can you provide examples of recent developments in the market?
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- 1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
- 2. Executive Summary
- 2.1. Introduction
- 3. Market Dynamics
- 3.1. Introduction
- 3.2. Market Drivers
- 3.3. Market Restrains
- 3.4. Market Trends
- 4. Market Factor Analysis
- 4.1. Porters Five Forces
- 4.2. Supply/Value Chain
- 4.3. PESTEL analysis
- 4.4. Market Entropy
- 4.5. Patent/Trademark Analysis
- 5. Global Decentralized Clinical Trial Platforms Analysis, Insights and Forecast, 2019-2031
- 5.1. Market Analysis, Insights and Forecast - by Type
- 5.1.1. Cloud Based
- 5.1.2. Web Based
- 5.2. Market Analysis, Insights and Forecast - by Region
- 5.2.1. North America
- 5.2.2. South America
- 5.2.3. Europe
- 5.2.4. Middle East & Africa
- 5.2.5. Asia Pacific
- 5.1. Market Analysis, Insights and Forecast - by Type
- 6. North America Decentralized Clinical Trial Platforms Analysis, Insights and Forecast, 2019-2031
- 6.1. Market Analysis, Insights and Forecast - by Type
- 6.1.1. Cloud Based
- 6.1.2. Web Based
- 6.1. Market Analysis, Insights and Forecast - by Type
- 7. South America Decentralized Clinical Trial Platforms Analysis, Insights and Forecast, 2019-2031
- 7.1. Market Analysis, Insights and Forecast - by Type
- 7.1.1. Cloud Based
- 7.1.2. Web Based
- 7.1. Market Analysis, Insights and Forecast - by Type
- 8. Europe Decentralized Clinical Trial Platforms Analysis, Insights and Forecast, 2019-2031
- 8.1. Market Analysis, Insights and Forecast - by Type
- 8.1.1. Cloud Based
- 8.1.2. Web Based
- 8.1. Market Analysis, Insights and Forecast - by Type
- 9. Middle East & Africa Decentralized Clinical Trial Platforms Analysis, Insights and Forecast, 2019-2031
- 9.1. Market Analysis, Insights and Forecast - by Type
- 9.1.1. Cloud Based
- 9.1.2. Web Based
- 9.1. Market Analysis, Insights and Forecast - by Type
- 10. Asia Pacific Decentralized Clinical Trial Platforms Analysis, Insights and Forecast, 2019-2031
- 10.1. Market Analysis, Insights and Forecast - by Type
- 10.1.1. Cloud Based
- 10.1.2. Web Based
- 10.1. Market Analysis, Insights and Forecast - by Type
- 11. Competitive Analysis
- 11.1. Global Market Share Analysis 2024
- 11.2. Company Profiles
- 11.2.1 Medidata
- 11.2.1.1. Overview
- 11.2.1.2. Products
- 11.2.1.3. SWOT Analysis
- 11.2.1.4. Recent Developments
- 11.2.1.5. Financials (Based on Availability)
- 11.2.2 IQVIA
- 11.2.2.1. Overview
- 11.2.2.2. Products
- 11.2.2.3. SWOT Analysis
- 11.2.2.4. Recent Developments
- 11.2.2.5. Financials (Based on Availability)
- 11.2.3 Veeva Systems
- 11.2.3.1. Overview
- 11.2.3.2. Products
- 11.2.3.3. SWOT Analysis
- 11.2.3.4. Recent Developments
- 11.2.3.5. Financials (Based on Availability)
- 11.2.4 Castor
- 11.2.4.1. Overview
- 11.2.4.2. Products
- 11.2.4.3. SWOT Analysis
- 11.2.4.4. Recent Developments
- 11.2.4.5. Financials (Based on Availability)
- 11.2.5 Delve Health
- 11.2.5.1. Overview
- 11.2.5.2. Products
- 11.2.5.3. SWOT Analysis
- 11.2.5.4. Recent Developments
- 11.2.5.5. Financials (Based on Availability)
- 11.2.6 Jeeva
- 11.2.6.1. Overview
- 11.2.6.2. Products
- 11.2.6.3. SWOT Analysis
- 11.2.6.4. Recent Developments
- 11.2.6.5. Financials (Based on Availability)
- 11.2.7 Signant Health
- 11.2.7.1. Overview
- 11.2.7.2. Products
- 11.2.7.3. SWOT Analysis
- 11.2.7.4. Recent Developments
- 11.2.7.5. Financials (Based on Availability)
- 11.2.8 Clinical Ink
- 11.2.8.1. Overview
- 11.2.8.2. Products
- 11.2.8.3. SWOT Analysis
- 11.2.8.4. Recent Developments
- 11.2.8.5. Financials (Based on Availability)
- 11.2.9 ObvioHealth
- 11.2.9.1. Overview
- 11.2.9.2. Products
- 11.2.9.3. SWOT Analysis
- 11.2.9.4. Recent Developments
- 11.2.9.5. Financials (Based on Availability)
- 11.2.10 THREAD
- 11.2.10.1. Overview
- 11.2.10.2. Products
- 11.2.10.3. SWOT Analysis
- 11.2.10.4. Recent Developments
- 11.2.10.5. Financials (Based on Availability)
- 11.2.11 Science 37
- 11.2.11.1. Overview
- 11.2.11.2. Products
- 11.2.11.3. SWOT Analysis
- 11.2.11.4. Recent Developments
- 11.2.11.5. Financials (Based on Availability)
- 11.2.12 Medable Clario
- 11.2.12.1. Overview
- 11.2.12.2. Products
- 11.2.12.3. SWOT Analysis
- 11.2.12.4. Recent Developments
- 11.2.12.5. Financials (Based on Availability)
- 11.2.13 Aparito
- 11.2.13.1. Overview
- 11.2.13.2. Products
- 11.2.13.3. SWOT Analysis
- 11.2.13.4. Recent Developments
- 11.2.13.5. Financials (Based on Availability)
- 11.2.14 Viedoc Technologies
- 11.2.14.1. Overview
- 11.2.14.2. Products
- 11.2.14.3. SWOT Analysis
- 11.2.14.4. Recent Developments
- 11.2.14.5. Financials (Based on Availability)
- 11.2.15 Crucial Data Solutions
- 11.2.15.1. Overview
- 11.2.15.2. Products
- 11.2.15.3. SWOT Analysis
- 11.2.15.4. Recent Developments
- 11.2.15.5. Financials (Based on Availability)
- 11.2.16 Medrio
- 11.2.16.1. Overview
- 11.2.16.2. Products
- 11.2.16.3. SWOT Analysis
- 11.2.16.4. Recent Developments
- 11.2.16.5. Financials (Based on Availability)
- 11.2.17 Alira Health
- 11.2.17.1. Overview
- 11.2.17.2. Products
- 11.2.17.3. SWOT Analysis
- 11.2.17.4. Recent Developments
- 11.2.17.5. Financials (Based on Availability)
- 11.2.18 Fortrea
- 11.2.18.1. Overview
- 11.2.18.2. Products
- 11.2.18.3. SWOT Analysis
- 11.2.18.4. Recent Developments
- 11.2.18.5. Financials (Based on Availability)
- 11.2.19 Huma
- 11.2.19.1. Overview
- 11.2.19.2. Products
- 11.2.19.3. SWOT Analysis
- 11.2.19.4. Recent Developments
- 11.2.19.5. Financials (Based on Availability)
- 11.2.20 Cliniv Health Tech
- 11.2.20.1. Overview
- 11.2.20.2. Products
- 11.2.20.3. SWOT Analysis
- 11.2.20.4. Recent Developments
- 11.2.20.5. Financials (Based on Availability)
- 11.2.21 Datacubed Health
- 11.2.21.1. Overview
- 11.2.21.2. Products
- 11.2.21.3. SWOT Analysis
- 11.2.21.4. Recent Developments
- 11.2.21.5. Financials (Based on Availability)
- 11.2.1 Medidata
- Figure 1: Global Decentralized Clinical Trial Platforms Revenue Breakdown (million, %) by Region 2024 & 2032
- Figure 2: North America Decentralized Clinical Trial Platforms Revenue (million), by Type 2024 & 2032
- Figure 3: North America Decentralized Clinical Trial Platforms Revenue Share (%), by Type 2024 & 2032
- Figure 4: North America Decentralized Clinical Trial Platforms Revenue (million), by Country 2024 & 2032
- Figure 5: North America Decentralized Clinical Trial Platforms Revenue Share (%), by Country 2024 & 2032
- Figure 6: South America Decentralized Clinical Trial Platforms Revenue (million), by Type 2024 & 2032
- Figure 7: South America Decentralized Clinical Trial Platforms Revenue Share (%), by Type 2024 & 2032
- Figure 8: South America Decentralized Clinical Trial Platforms Revenue (million), by Country 2024 & 2032
- Figure 9: South America Decentralized Clinical Trial Platforms Revenue Share (%), by Country 2024 & 2032
- Figure 10: Europe Decentralized Clinical Trial Platforms Revenue (million), by Type 2024 & 2032
- Figure 11: Europe Decentralized Clinical Trial Platforms Revenue Share (%), by Type 2024 & 2032
- Figure 12: Europe Decentralized Clinical Trial Platforms Revenue (million), by Country 2024 & 2032
- Figure 13: Europe Decentralized Clinical Trial Platforms Revenue Share (%), by Country 2024 & 2032
- Figure 14: Middle East & Africa Decentralized Clinical Trial Platforms Revenue (million), by Type 2024 & 2032
- Figure 15: Middle East & Africa Decentralized Clinical Trial Platforms Revenue Share (%), by Type 2024 & 2032
- Figure 16: Middle East & Africa Decentralized Clinical Trial Platforms Revenue (million), by Country 2024 & 2032
- Figure 17: Middle East & Africa Decentralized Clinical Trial Platforms Revenue Share (%), by Country 2024 & 2032
- Figure 18: Asia Pacific Decentralized Clinical Trial Platforms Revenue (million), by Type 2024 & 2032
- Figure 19: Asia Pacific Decentralized Clinical Trial Platforms Revenue Share (%), by Type 2024 & 2032
- Figure 20: Asia Pacific Decentralized Clinical Trial Platforms Revenue (million), by Country 2024 & 2032
- Figure 21: Asia Pacific Decentralized Clinical Trial Platforms Revenue Share (%), by Country 2024 & 2032
- Table 1: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Region 2019 & 2032
- Table 2: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Type 2019 & 2032
- Table 3: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Region 2019 & 2032
- Table 4: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Type 2019 & 2032
- Table 5: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Country 2019 & 2032
- Table 6: United States Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 7: Canada Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 8: Mexico Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 9: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Type 2019 & 2032
- Table 10: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Country 2019 & 2032
- Table 11: Brazil Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 12: Argentina Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 13: Rest of South America Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 14: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Type 2019 & 2032
- Table 15: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Country 2019 & 2032
- Table 16: United Kingdom Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 17: Germany Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 18: France Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 19: Italy Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 20: Spain Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 21: Russia Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 22: Benelux Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 23: Nordics Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 24: Rest of Europe Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 25: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Type 2019 & 2032
- Table 26: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Country 2019 & 2032
- Table 27: Turkey Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 28: Israel Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 29: GCC Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 30: North Africa Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 31: South Africa Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 32: Rest of Middle East & Africa Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 33: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Type 2019 & 2032
- Table 34: Global Decentralized Clinical Trial Platforms Revenue million Forecast, by Country 2019 & 2032
- Table 35: China Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 36: India Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 37: Japan Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 38: South Korea Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 39: ASEAN Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 40: Oceania Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
- Table 41: Rest of Asia Pacific Decentralized Clinical Trial Platforms Revenue (million) Forecast, by Application 2019 & 2032
Aspects | Details |
---|---|
Study Period | 2019-2033 |
Base Year | 2024 |
Estimated Year | 2025 |
Forecast Period | 2025-2033 |
Historical Period | 2019-2024 |
Growth Rate | CAGR of XX% from 2019-2033 |
Segmentation |
|
STEP 1 - Identification of Relevant Samples Size from Population Database



STEP 2 - Approaches for Defining Global Market Size (Value, Volume* & Price*)

Note* : In applicable scenarios
STEP 3 - Data Sources
Primary Research
- Web Analytics
- Survey Reports
- Research Institute
- Latest Research Reports
- Opinion Leaders
Secondary Research
- Annual Reports
- White Paper
- Latest Press Release
- Industry Association
- Paid Database
- Investor Presentations

STEP 4 - Data Triangulation
Involves using different sources of information in order to increase the validity of a study
These sources are likely to be stakeholders in a program - participants, other researchers, program staff, other community members, and so on.
Then we put all data in single framework & apply various statistical tools to find out the dynamic on the market.
During the analysis stage, feedback from the stakeholder groups would be compared to determine areas of agreement as well as areas of divergence
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