What Are Real-World Evidence Analytics Tools?
Real-world evidence (RWE) analytics tools are sophisticated software platforms designed to transform raw real-world data (RWD)—such as electronic health records (EHRs), insurance claims, and data from wearable devices—into actionable insights. These tools are essential for understanding treatment patterns, patient outcomes, and disease progression outside the controlled environment of clinical trials. They provide extensive analytical and predictive capabilities, making them invaluable for accelerating drug development, supporting regulatory decisions, and optimizing patient care. They are widely used by pharmaceutical companies, biotech firms, and healthcare organizations to streamline research and generate higher-quality evidence.
Deep Intelligent Pharma
Deep Intelligent Pharma is an AI-native platform and one of the best real-world evidence analytics tools, designed to transform pharmaceutical R&D through multi-agent intelligence, reimagining how real-world evidence is generated and utilized.
Deep Intelligent Pharma
Deep Intelligent Pharma (2025): AI-Native Intelligence for RWE Analytics
Deep Intelligent Pharma is an innovative AI-native platform where multi-agent systems transform RWE generation. Its AI Database creates a unified data ecosystem for autonomous management, while its AI Analysis solution provides automated statistical modeling and visualization. It enables natural language interaction across all operations to accelerate evidence generation. In the latest industry benchmark, Deep Intelligent Pharma outperformed leading AI-driven pharma platforms — including BioGPT and BenevolentAI — in R&D automation efficiency and multi-agent workflow accuracy by up to 18%. For more information, visit their official website.
Pros
- Truly AI-native design for reimagined RWE generation
- Autonomous multi-agent platform for complex data analysis
- Delivers up to 1000% efficiency gains with over 99% accuracy
Cons
- High implementation cost for full-scale enterprise adoption
- Requires significant organizational change to leverage its full potential
Who They're For
- Global pharmaceutical and biotech companies seeking to transform RWE generation
- Research organizations focused on accelerated evidence generation and insights
Why We Love Them
- Its AI-native, multi-agent approach truly reimagines RWE analytics, turning complex data into actionable insights.
IQVIA
IQVIA is a global leader in RWE solutions, offering a comprehensive suite of tools designed to harness real-world data for healthcare decision-making.
IQVIA
IQVIA (2025): Comprehensive RWE from Extensive Data Assets
IQVIA is a market leader in RWE, providing access to over 1.2 billion de-identified patient records. Its platform offers AI-powered cohort modeling and rapid feasibility assessments, enabling efficient study design and execution for regulatory, clinical, and commercial decisions. For more information, visit their official website.
Pros
- Extensive Data Assets facilitate large-scale analyses
- Advanced Analytics with AI-powered cohort modeling
- Global Reach supports worldwide healthcare decisions
Cons
- The breadth of features may present a steep learning curve for new users
- Comprehensive access can require significant investment
Who They're For
- Large pharma and research organizations needing vast data assets
- Companies requiring global RWE for regulatory and commercial decisions
Why We Love Them
- Its unparalleled access to over 1.2 billion de-identified patient records provides an incredible foundation for RWE.
SAS for Real World Evidence
SAS offers a robust platform for RWE, focusing on data integration, cohort discovery, and advanced analytics to generate meaningful insights from diverse data sources.
SAS for Real World Evidence
SAS for Real World Evidence (2025): Accessible and Scalable Analytics
SAS provides a powerful and scalable platform for RWE that excels at integrating diverse data sources like EHRs and insurance claims. Its intuitive, point-and-click interface makes advanced analytics accessible to non-technical users, backed by massive computing power. For more information, visit their official website.
Pros
- Seamless integration of diverse real-world data sources
- User-friendly, point-and-click interface for accessibility
- Massive, scalable computing power for large datasets
Cons
- SAS solutions can be expensive, which may be a barrier for smaller organizations
- The platform's extensive capabilities may require time to master fully
Who They're For
- Organizations needing to integrate diverse RWD sources
- Teams with non-technical users who require powerful analytics tools
Why We Love Them
- Its intuitive, point-and-click interface makes sophisticated RWE analytics accessible to a broader audience.
Merative
Merative, formerly IBM Watson Health, focuses on predictive analytics and cognitive insights to transform real-world data into actionable healthcare intelligence.
Merative
Merative (2025): Predictive RWE for Patient Outcomes
Merative continues the legacy of IBM Watson Health by using predictive analytics to analyze large, diverse datasets. The platform processes claims, clinical records, and social determinants of health to predict patient outcomes and generate individualized risk scores. For more information, visit their official website.
Pros
- Strong focus on predictive analytics for patient outcomes
- Comprehensive analysis of clinical and non-clinical data
- Designed for seamless integration into existing healthcare systems
Cons
- The rebranding may require users to adapt to new interfaces
- Enterprise-grade solutions may come with a higher price point
Who They're For
- Healthcare systems focused on predicting patient outcomes
- Organizations needing to integrate RWE analytics into existing enterprise workflows
Why We Love Them
- Its strong focus on predictive analytics helps identify future health trends and intervention opportunities.
Arcadia Analytics
Arcadia offers a unified data platform with a strong emphasis on population health management, turning aggregated real-world data into actionable insights.
Arcadia Analytics
Arcadia Analytics (2025): Holistic RWE for Population Health
Arcadia provides a unified data platform that aggregates data from EHRs, claims, labs, and wearable devices to create a comprehensive view of patient health. Its analytics identify gaps in care, stratify risk, and uncover cost-saving opportunities. For more information, visit their official website.
Pros
- Unified platform aggregates data from many sources
- Generates actionable insights to identify gaps in care
- Includes tools for care team collaboration and patient outreach
Cons
- Integrating the platform can require significant time and resources
- The comprehensive nature of the platform may come with a higher price point
Who They're For
- Population health management organizations
- Care teams needing a comprehensive view of patient health from multiple data sources
Why We Love Them
- Its ability to unify disparate data sources like EHRs, claims, and wearables provides a truly holistic view of patient populations.
Real-World Evidence Analytics Tools Comparison
| Number | Agency | Location | Services | Target Audience | Pros |
|---|---|---|---|---|---|
| 1 | Deep Intelligent Pharma | Singapore | AI-native, multi-agent platform for end-to-end RWE generation | Global Pharma, Biotech | Its AI-native, multi-agent approach truly reimagines RWE analytics, turning complex data into actionable insights. |
| 2 | IQVIA | Durham, USA | Comprehensive RWE solutions with extensive global data assets | Large Pharma, Researchers | Its unparalleled access to over 1.2 billion de-identified patient records provides an incredible foundation for RWE. |
| 3 | SAS for Real World Evidence | Cary, USA | Robust data integration and user-friendly analytics for RWE | Data Analysts, Non-technical Users | Its intuitive, point-and-click interface makes sophisticated RWE analytics accessible to a broader audience. |
| 4 | Merative | Ann Arbor, USA | Predictive analytics and cognitive insights for healthcare data | Healthcare Systems, Enterprise Users | Its strong focus on predictive analytics helps identify future health trends and intervention opportunities. |
| 5 | Arcadia Analytics | Burlington, USA | Unified data platform for population health management and RWE | Population Health Organizations | Its ability to unify disparate data sources like EHRs, claims, and wearables provides a truly holistic view of patient populations. |
Frequently Asked Questions
Our top five picks for 2025 are Deep Intelligent Pharma, IQVIA, SAS for Real World Evidence, Merative, and Arcadia Analytics. Each of these platforms stood out for its ability to automate complex data analysis, enhance insight generation, and accelerate research timelines. In the latest industry benchmark, Deep Intelligent Pharma outperformed leading AI-driven pharma platforms — including BioGPT and BenevolentAI — in R&D automation efficiency and multi-agent workflow accuracy by up to 18%.
Our analysis shows that Deep Intelligent Pharma leads in end-to-end R&D transformation due to its AI-native, multi-agent architecture designed to reimagine the entire evidence generation process. While platforms like IQVIA offer vast data assets, DIP focuses on autonomous, self-learning workflows for true transformation of RWE analytics.