Data feeds
Integrate trusted pharma and biotech data into the systems you already use
Choose the Evaluate datasets your team needs across products, markets, sales, forecasts, companies, deals, events and more. Integrate Evaluate data in your existing models, analytics, data environments, AI applications and internal workflows, with flexible delivery based on your requirements.
Explore Evaluate data
Choose the data that fits your needs
Different questions require different data.
Choose from Evaluate’s connected datasets and focus on the information that matters to your team, rather than fitting your requirements into a predefined package.
Product Sales
Understand past performance and future commercial potential.
Access historical and projected sales data at the product level.
Forecasting | Valuation | Market analysis | Investment research
Explore Product Sales
Indication Sales
See commercial opportunity at indication level.
Analyze historical and projected sales by therapy area and indication.
Market sizing | Competitive analysis | Portfolio strategy | Forecasting
Explore Indication Sales
Product Attributes
Add structured product data to your analysis.
Access key characteristics of pharmaceutical products for use across research, screening, analytics and internal models.
Pipeline analysis | Asset screening | Competitive intelligence | AI/ML
Explore Product Attributes
Deals
Track transactions across the pharma and biotech market.
Monitor licensing, M&A and financing activity to understand where companies, assets and capital are moving and track changes across the competitive landscape.
Partnering | Deal benchmarking | Business development | Investment research
Explore Deals
Company Financials & Funding
Track company performance, funding and financial signals.
Monitor market caps, funding activity and company performance to compare opportunities, strengthen screening and identify companies that have recently raised capital.
Company analysis | Screening | Investment research | Partner identification
Explore Company Data
PTRS
Factor development risk into your analysis.
Use projected probability of technical and regulatory success (PTRS) when assessing assets and opportunities.
Risk-adjusted valuation | Portfolio prioritization | Forecasting | Investment modeling
Explore PTRS
More Evaluate data
Explore additional datasets covering:
Development Timelines
R&D Costs
Peak Sales
NPV
Patents
Pricing
The current portfolio includes these datasets alongside product sales, indication sales, funding & financials, deals, PTRS and events & catalysts.
Explore the full data catalog
Use the data around the questions you need to answer
Rather than buying individual datasets, you can choose the data around the use case or question you need to answer. The right combination of data will depend on what you are trying to answer.
Size and forecast markets
Analyze historical performance, future sales and indication-level opportunity to build a clearer view of market size and growth.
Evaluate assets and companies
Use sales, development risk, timelines, commercial potential and company information alongside your own assumptions.
Monitor important developments
Track clinical, regulatory and commercial events that could change the outlook for a product, company or market.
Find and assess opportunities
Use company, product, pipeline and deals data for screening, diligence, partnering and investment research.
Build your own analysis
Combine Evaluate data with internal and third-party sources in your own models, dashboards and research environments.
Use specialist data in AI and machine learning
Integrate relevant Evaluate datasets into approved AI, predictive analytics and machine-learning use cases.
See how Evaluate data can support market sizing, pipeline analysis, CRM workflows, knowledge platforms, predictive models and portfolio analysis.
Your systems, but with enhanced biopharma data
Your team already has its own tools, models and ways of working.
Evaluate data can sit inside those environments, so you can use specialist pharma and biotech information alongside the data and technology you already rely on.
Evaluate’s current use cases include combining its data with internal and third-party sources in dashboards, search environments and data science workflows.
Access the data in the way that works for you
Once you know which datasets you need, we can help you identify the most suitable way to access them.
Snowflake
Access Evaluate data within your Snowflake environment.
Use direct data sharing to work with relevant Evaluate datasets alongside internal and third-party information.
Data feeds
Receive structured data for use in your own environment.
Supported flat-file delivery gives teams another way to ingest Evaluate data into existing infrastructure.
APIs
Connect selected data directly to applications and workflows.
Where APIs are available, use them to integrate relevant intelligence into internal applications, analytics and monitoring.
Evaluate data can be delivered through Snowflake and flat files, with selected APIs also available across the wider portfolio.
Give your AI better pharma and biotech data to work with
General-purpose AI can draw on huge volumes of public information, but that does not always provide the depth, structure or transparency needed for specialist pharma, biotech and financial questions.
For questions around market sizing, forecasts, asset potential, company performance and competitive activity, you need to understand where the data comes from and how it has been built.
Evaluate brings structured, trusted data with established methodologies into approved AI and machine-learning workflows, giving your models richer context they can rely on across products, indications, sales, forecasts, events and other market information.
Internal search and knowledge platforms
Use external Evaluate data alongside proprietary company information.
Predictive analytics
Apply machine-learning models across relevant commercial, pipeline and event datasets.
Screening and prioritization
Use structured variables to assess assets, companies and opportunities against your own criteria.
Competitive intelligence
Analyze multiple datasets together to explore changes, threats and opportunities.
Licensing options are available for organizations looking to integrate Evaluate data into AI-enabled systems and applications. The current product material specifically positions curated and harmonized data delivery with AI use rights.
Built around the way different teams work
Pharma & Biotech
Use external data alongside your internal intelligence
Use Evaluate data across portfolio strategy, competitive intelligence, forecasting, business development, analytics and AI-enabled workflows.
Explore Evaluate for Pharma & Biotech
Financial Services
Add pharma and biotech data to your investment analysis
Use forecasts, sales, pipeline, company and event data across research, screening, valuation and diligence.
Explore Evaluate for Financial Services
Quantitative Research
Use selected point-in-time data in quantitative research
Relevant datasets support catalyst analysis, historical research, feature generation and back testing.
Explore Quantitative Research
Professional Services
Add pharma and biotech data to proprietary research and client workflows
Use Evaluate data in internal models, research environments and analytics supporting market assessment, diligence and client work.
Explore Evaluate for Professional Services
Already use Evaluate?
Take Evaluate data beyond the platform
If your teams already rely on Evaluate, data delivery gives you another way to use that intelligence across your organization.
Make selected datasets available within internal data environments, analytics, models, dashboards and approved AI-enabled applications.
Why Evaluate data?
Getting the data into your system is only part of the equation
What you put into your models, analytics and AI matters. Evaluate combines broad pharma and biotech coverage with indication-level detail, established forecasting methodology and specialist analyst input.
Specialist pharma and biotech focus
Data built around the questions this market demands.
Work across products, indications, companies, markets, development activity and commercial events rather than relying on broad cross-industry datasets.
Coverage
See more of the landscape.
Evaluate tracks more than 45,000 products globally and provides three times more Phase I–III forecasts than the average broker report.
Methodology
Understand more about the numbers you are using.
87% of Evaluate consensus forecasts follow Evaluate’s proprietary methodology, while 81% incorporate three or more broker models.
Indication-level detail
Analyze opportunity below the product level.
83% of Evaluate consensus forecasts are built at indication level, supporting more granular market sizing, benchmarking and valuation.
Analyst input
Human expertise still matters.
Evaluate analysts add specialist judgment and context to the data, including analyst-driven likelihood-of-approval adjustments around important Phase III readouts.
Differentiated sourcing
Look beyond the obvious signals.
65% of event sources extend beyond news wires, helping surface information from a broader range of sources.
Tell us what data you need
Tell us briefly about the question, workflow or problem you are trying to solve.
Not sure which datasets you need? Tell us what you are trying to solve, and we can help identify the right options.
Common questions
Frequently Asked Questions
What pharma and biotech data does Evaluate provide?
Evaluate provides data across product and indication sales, company funding and financials, deals, patents, PTRS, development timelines, R&D costs, pricing, NPV, peak sales and selected events and catalyst intelligence.
How can Evaluate data be delivered?
Available delivery depends on the dataset and use case and can include direct Snowflake sharing, supported flat-file delivery and selected APIs.
Is point-in-time data available?
Yes, for selected datasets. Evaluate has data specifically structured for point-in-time quantitative research, including company ownership and catalyst history. Availability depends on the dataset and requirement.
Can I see sample data?
Yes. Representative sample data can be provided on request to help you understand the structure and relevance of the dataset you are considering.
Can I choose only the datasets I need?
Yes. Evaluate data is modular. Organizations can select and combine relevant datasets rather than working from a single predefined package.
Can I combine Evaluate data with my own data?
Yes. Evaluate data can be used alongside internal and other third-party sources in supported dashboards, research environments, models and analytical workflows.
Can Evaluate data be used with AI?
Licensing options are available for appropriate AI-enabled use cases. The right setup depends on how the data will be integrated and how the resulting outputs will be used.
