Real-World Data Companies

RWE Vendor Landscape · Data

Real-World Data Companies for Real-World Evidence

14 to 15 October 2026Hampton Inn by Hilton, Boston Seaport, USA

Real-world data companies source, curate and license the EHR, claims, registry, tokenized and genomic data that real-world evidence is built on.

The data partners powering RWE meet their buyers at RWE Connect 2026 in Boston.

Put Your Company in Front of 150+ RWE Buyers
Request the sponsorship prospectus. We reply within one business day.

    No public pricing. Enquiry-led, no obligation.

    150+Attendees
    60%Director / VP and Above
    40+Speakers
    200+Meetings Facilitated

    Data types

    The Real-World Data Landscape

    Real-world data companies specialise across complementary source types. The strongest evidence programmes combine several of them.

    Data type
    What it captures
    Strongest for
    Electronic health records
    Diagnoses, labs, vitals, medications and clinician notes from care settings.
    Clinical depth and outcomes
    Administrative claims
    Billing and reimbursement activity across large insured populations.
    Treatment patterns and cost
    Disease & product registries
    Curated cohorts followed over time for a condition or therapy.
    Natural history and safety
    Tokenized & linked data
    Privacy-preserving linkage that connects a patient across sources.
    End-to-end patient journeys
    Genomic & molecular
    Sequencing, biomarker and other omics data tied to clinical records.
    Precision and oncology cohorts
    Patient-generated & wearable
    PROs, apps and connected devices capturing data outside the clinic.
    Real-world function and DCT

    Evaluation

    What Makes a Strong Real-World Data Partner

    Buyers at RWE Connect assess data vendors against a consistent bar before they commit a study to a source.

    Provenance & GovernanceDocumented sourcing, consent, IRB oversight and clear data lineage.
    Scale & RecencyEnough patients, refreshed often, with longitudinal depth over time.
    Linkage & InteroperabilityOMOP and FHIR mapping plus tokenized linkage across sources.
    Regulatory-Grade QualityFit for FDA and HTA use, validated and with documented quality control.
    RepresentativenessDemographics and geography that match the research question.
    Privacy & ComplianceHIPAA de-identification, expert determination and strong security.

    Applications

    How Real-World Data Powers Evidence

    The same source can answer very different questions. These are the decisions real-world data supports, and the themes each one maps to at RWE Connect 2026.

    Regulatory Submissions
    External control arms and RWE studies that support FDA and EMA filings and label expansions.
    HEOR & Market Access
    Cost-effectiveness, budget-impact and payer value dossiers built on claims and outcomes data.
    Safety & Pharmacovigilance
    Post-authorization safety studies and signal detection across large populations.
    Epidemiology & Burden of Illness
    Natural history, prevalence and unmet-need studies that size a disease.
    Trial Design & External Controls
    Feasibility, site selection and synthetic or external comparator arms.
    Commercial & Launch
    Treatment patterns, patient journeys and post-launch performance.

    Real-world data is the input; real-world evidence is the conclusion. See how the two connect across the RWE solutions landscape.

    Industry trends

    What’s Shaping Real-World Data in 2026

    The data landscape is moving quickly, and it decides which partners win the work. These are the shifts defining the market, and the themes on the agenda at RWE Connect 2026.

    Tokenization & LinkageConnecting a patient across EHR, claims and labs without moving protected health information.
    Multimodal DataEHR plus claims plus genomic and lab data combined into one longitudinal record.
    Regulatory-Grade DataThe FDA RWE framework raising the bar on provenance, quality and fitness for purpose.
    Generative AI & NLPUnlocking clinician notes, pathology reports and imaging from unstructured records at scale.
    Patient-Generated DataWearables, ePRO and connected apps extending the record beyond the clinic.
    Transparency & ReproducibilityDocumented lineage and pre-registration becoming table stakes for evidence that holds up.

    The programme

    What’s on the Agenda

    Two days built around the themes that move real-world evidence forward: the data, the methods, the economics and the decisions it supports. 40+ speakers across keynotes, panels, workshops and the Partnering Lounge.

    Real-World Data & Sources
    EHR, claims, registry, tokenized and genomic data: quality, linkage and access.
    Methods & Study Design
    Study design, causal inference, external controls and regulatory-grade evidence.
    HEOR & Market Access
    Economic models, payer and HTA evidence, and demonstrating value.
    AI & Advanced Analytics
    Machine learning, NLP and generative AI applied to real-world data.
    Regulatory & Policy
    The FDA RWE framework, global reception and evolving evidence standards.
    Partnering & 1:1 Meetings
    The Partnering Lounge: buyers and providers meet by pre-scheduled appointment.

    Formats include keynotes, expert panels, case studies, workshops, the Partnering Lounge and the exhibition. The full session-by-session agenda and speaker line-up are confirmed closer to the event.

    Who is in the room

    Attendee Breakdown

    A senior, focused audience of the buyers who commission and evaluate real-world data.

    60%Director / VP and Above
    Director / VP and AboveOther senior roles
    RWE & Real-World Data28%
    HEOR & Market Access22%
    Epidemiology & Biostatistics16%
    Data Science & Analytics16%
    Clinical, Medical & Regulatory12%
    Research, Academia & Startups6%

    Seniority is confirmed: 150+ attendees, around 60% at Director or VP level and above. The functional mix shown is indicative; confirmed registration splits are shared with sponsors from the live delegate list.

    Already on board

    Data and Analytics Leaders at RWE Connect 2026

    Truveta
    Magnolia
    Forian
    Arcadia

    Why RWE Connect

    A Generic RWE Conference vs RWE Connect

    Not every real-world evidence event delivers the same return. Here is how a large, general conference compares with the focused, buyer-led model at RWE Connect 2026.

    A Generic RWE Conference

    • Thousands of mixed attendees, with buyers hard to identify
    • Lecture-hall format with limited access to decision-makers
    • Networking left to chance encounters and business cards
    • A broad agenda spread thin across many adjacent topics
    • Sponsorship measured in booth footfall and impressions
    • Little visibility into who is actually in the room

    RWE Connect 2026

    • 150+ senior, screened buyers, around 60% Director or VP and above
    • A dedicated Partnering Lounge built for 1:1 meetings
    • Meetings pre-scheduled with the accounts you name
    • A focused agenda on data, methods, HEOR and market access
    • Sponsorship measured in qualified pipeline, not footfall
    • A shared delegate list for warm, targeted follow-up

    Why sponsor

    Meet the Teams Sourcing Real-World Data

    Reach the Data BuyersRWE, HEOR and epidemiology leaders selecting data sources, around 60% at Director level and above.
    Pre-Scheduled 1:1 MeetingsName the buyers you want; the Partnering Lounge books the meetings before the doors open.
    Demos and SpeakingShow the depth and quality of your data to the teams who license it.

    What sponsoring looks like

    How a Data Partner Wins Business at RWE Connect

    Sponsorship here is built around meetings and pipeline, not just a stand. This is the typical path from sign-up to signed opportunity.

    Step 1
    Name Your TargetsTell us the accounts, functions and titles you want in the room.
    Step 2
    Pre-Scheduled 1:1sThe Partnering Lounge books qualified meetings before the doors open.
    Step 3
    Live Data DemosShow the depth, recency and linkage of your data to the teams who license it.
    Step 4
    Speak & LeadKeynote, panel or workshop slots that position you as the category authority.
    Step 5
    Warm Follow-UpLeave with the delegate list and a pipeline of qualified conversations.

    RWE Connect 2026

    Put Your Data Platform in Front of the Room

    150+ real-world evidence buyers, around 60% at Director or VP level and above, over two days in Boston. Request the prospectus and the team replies within one business day.

    • Exhibition space and live data demos
    • Speaking and panel opportunities
    • Pre-scheduled 1:1 meetings with the buyers you name
    Request the Sponsorship Prospectus
    Three fields. We reply within one business day.

      No public pricing. Enquiry-led, no obligation.

      Real-World Data Companies: Common Questions

      What are real-world data companies?

      Organizations that source, curate and license real-world data such as electronic health records, administrative claims, disease registries, tokenized and linked data, and genomic data for research and regulatory-grade evidence.

      What types of real-world data are there?

      The main source types are electronic health records (EHR), administrative claims, disease and product registries, tokenized and linked data, genomic and molecular data, and patient-generated and wearable data.

      What is the difference between real-world data and real-world evidence?

      Real-world data (RWD) is the raw data collected from routine care and daily life. Real-world evidence (RWE) is the clinical evidence about a product’s use, benefits and risks that is derived from analysing that data.

      Which real-world data companies are at RWE Connect 2026?

      The confirmed sponsors span data and analytics providers including Truveta, Magnolia, Forian and Arcadia, and the agenda features data-source and methods sessions with 40+ speakers.

      What should buyers look for in a real-world data partner?

      Data provenance and governance, scale and recency, linkage and interoperability, regulatory-grade quality, representativeness of the population, and HIPAA-compliant privacy and de-identification.

      Can my data company exhibit or sponsor?

      Yes. Request the prospectus for exhibition, speaking and pre-scheduled 1:1 meeting options; pricing is shared on enquiry.

      When and where is RWE Connect 2026?

      14 to 15 October 2026 at the Hampton Inn by Hilton, Boston Seaport District, Boston, MA.

      What are real-world data used for?

      Common uses include regulatory submissions and label expansions, HEOR and market access, safety and pharmacovigilance, epidemiology and burden of illness, trial design and external control arms, and commercial and launch analytics.

      What is tokenized or linked real-world data?

      Tokenization replaces identifiers with a privacy-preserving token so the same patient can be connected across EHR, claims, lab and other sources without sharing protected health information, which enables end-to-end patient journeys.

      What makes real-world data regulatory-grade or fit-for-purpose?

      Documented provenance and lineage, validated quality, relevance to the research question, and transparency sufficient for FDA or HTA decisions under the real-world evidence framework.

      How is RWE Connect different from a generic RWE conference?

      RWE Connect is a focused, buyer-led event: 150+ screened senior buyers, a Partnering Lounge built for pre-scheduled 1:1 meetings, and sponsorship measured in qualified pipeline rather than booth footfall.

      What do real-world data sponsors get at RWE Connect 2026?

      Exhibition space and live data demos, speaking and panel opportunities, pre-scheduled 1:1 meetings with the accounts you name, the delegate list for follow-up, and brand exposure to 150+ real-world evidence buyers.

      Join the Movement. Shape the Future.

      Be part of a community that’s redefining how the world measures healthcare impact.

      Join us at RWE Connect 2026
      where data meets decisions.

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