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About this event
2nd MedTech Meets AI
Date: March 15–17, 2026
Venue: Berlin Convention Center, Berlin, Germany
Event Overview
The 2nd MedTech Meets AI conference converges the globe’s foremost innovators, researchers, and decision-makers at the intersection of medical technology and artificial intelligence. This three-day event explores breakthroughs in AI-driven healthcare solutions, fostering collaborations between startups, established enterprises, academic institutions, and regulatory bodies. With a focus on real-world applications, the conference addresses challenges and opportunities in diagnostics, treatment personalization, and patient care optimization through cutting-edge AI integration.
Who Attends
This event attracts a curated audience of:
- MedTech CEOs, CTOs, and Product Developers
- AI Researchers and Data Scientists
- Healthcare Providers and Clinical Specialists
- Investors and Venture Capital Firms
- Regulatory Affairs and Compliance Officers
- Academic Institutions and Postgraduate Researchers
- HealthTech Startup Founders
Location & Geographic Reach
Location: Berlin Convention Center, Berlin, Germany
Attendee Origin: Global, with a strong emphasis on European innovators and international participants from North America, Asia-Pacific, and the Middle East. Berlin’s status as a hub for technology and healthcare innovation amplifies its appeal to cross-border collaboration seekers.
Audience Reach
Global. While rooted in Europe, the event draws stakeholders from over 40 countries, featuring multilingual tracks and a diverse exhibitor base. Key themes resonate with audiences in mature and emerging healthcare markets alike.
Sample Buyer Company Profiles
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Siemens Healthineers | siemens-healthineers.com | Director, AI Innovation | Pioneer in AI-enabled diagnostic imaging and hospital workflow solutions. |
| 2 | Profound Medical | profoundmedical.com | Chief Technology Officer | Develops AI-optimized thermal therapies for precision oncology treatments. |
| 3 | Google Health | health.google | Head of Strategic Partnerships | Investing heavily in AI for predictive analytics, medical imaging, and patient monitoring. |
| 4 | Fresenius SE & Co. KGaA | fresenius.com | SVP, Digital Health Initiatives | Global leader in dialysis and clinical solutions seeking AI-driven care continuum innovations. |
| 5 | BD (Becton, Dickinson and Company) | bd.com | VP, Advanced Informatics | Integrates AI into medical devices and diagnostic platforms for smarter clinical decisions. |
Target Job Profiles & Industries
Key Industries: Medical Devices, Biotechnology, Healthcare IT, Artificial Intelligence, Clinical Research, Telemedicine, Pharmaceutical R&D
Job Titles to Engage:
- AI/Machine Learning Engineers in Healthcare
- Chief Digital Officers
- Medical Device Product Managers
- Health Informatics Specialists
- Regulatory Affairs Directors
- Corporate Venture Capital Managers
- Clinical Data Scientists
Estimated Attendance
Expected footfall: 4,500+ participants
Composition: 60% corporate buyers and innovators, 20% academic/research institutions, 10% investors, 10% regulatory and policy experts. Over 200 exhibitors will showcase AI-powered MedTech solutions across 15,000 sqm of exhibition space.
Key Focus Areas & Buyer Engagement
Central themes include:
- AI for Early Disease Detection and Predictive Analytics
- Robotics-Assisted Surgery and Rehabilitation
- NLP in Electronic Health Records (EHRs)
- Ethical AI and Patient Data Security
- Wearables and Real-Time Patient Monitoring
- AI-Driven Drug Discovery and Development
Engagement Angle: Position your client’s solutions as enablers of smarter, faster, and more personalized healthcare. Highlight ROI through reduced diagnostic errors, operational efficiencies, or improved patient outcomes. For investors, emphasize scalable AI applications with clear regulatory pathways.
Client-Product Fit Note
To refine buyer targeting, please share your client’s website. For example:
- If your client sells AI diagnostic imaging software, prioritize Siemens Healthineers, Google Health, and academic medical centers.
- If your client offers AI ethics/compliance platforms, target regulatory Affairs Directors at BD, Philips, and EU-based health authorities.
- If your client is a startup in robotic surgery, engage corporate VCs from Medtronic, Intuitive Surgical, and pan-European accelerators.
Final Recommendation
This event is a high-value platform for B2B engagement, particularly for companies offering AI solutions that address clinical workflow challenges, diagnostic accuracy, or personalized treatment. Position your client as a thought leader through speaking opportunities or data-driven case studies. Quality rating for buyer list acquisition: 9/10 due to its specialized focus and executive-level attendees.
Data sheet
| Event Name | 2nd MedTech Meets AI |
| Event Date | 14 Oct 2026 – 15 Oct 2026 (Confirmed from user-provided event details) |
| Event Status | Upcoming |
| Venue | Venue not publicly confirmed in the information provided. |
| City | Barcelona |
| State / Region | Catalonia |
| Country | Spain |
| Organizer | Organizer not publicly confirmed in the information provided. |
| Official Event Website | Official website not supplied in the request and not independently verified in this brief. |
| Event Type | B2B conference / summit |
| Primary Category | Medical & Pharma |
| Secondary Applicable Categories | IT & Technology; Science & Research |
| Audience Reach | Likely European with international participation interest; current-year audience scope not officially confirmed. |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low at this stage due to limited verified public event data in the brief provided. |
| Main Purpose of Event | Likely focused on AI applications in medtech, healthcare innovation, partnership building, research-commercialization dialogue, and buyer-supplier engagement across medical technology and digital health ecosystems. |
2nd MedTech Meets AI appears to be a specialist B2B conference positioned at the intersection of medical technology, clinical innovation, and artificial intelligence. Based on the event title and the user-provided background summary, the conference is expected to bring together medtech executives, product leaders, AI specialists, researchers, clinicians, startup founders, investors, and regulatory stakeholders interested in real-world healthcare applications of machine learning, diagnostics, workflow automation, data-driven treatment support, and next-generation medical devices.
From a commercial perspective, this event matters because medtech-AI convergence typically attracts high-value decision-makers involved in product strategy, innovation sourcing, partnerships, procurement, research collaboration, and investment evaluation. Even when public attendee data is limited, events in this niche can be useful for lead generation into hospitals, health systems, medtech manufacturers, digital health companies, research institutions, and compliance-led solution buyers. Suitability for B2B attendee list building is moderate to high if official speaker, sponsor, exhibitor, or delegate directories become available closer to the event date.
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| MedTech executive leadership | Medical device manufacturers, healthtech ventures, diagnostics companies | Budget ownership, partnership approval, product roadmap influence | High-value targets for strategic partnerships, pilot programs, platforms, and enabling technologies |
| Product and innovation leaders | Medtech firms, digital health companies, imaging and device developers | Evaluate AI components, product integration, clinical utility, vendor fit | Strong fit for software tools, embedded AI, analytics, validation, and R&D services |
| Clinical and healthcare delivery stakeholders | Hospitals, clinics, academic medical centers, specialty care groups | Influence adoption, workflow design, clinical validation, pilot acceptance | Important for proving outcomes, usability, procurement readiness, and implementation pathways |
| AI researchers and data science teams | Universities, research labs, healthcare AI groups, medtech R&D teams | Technical evaluation, model performance review, collaboration sourcing | Relevant for data platforms, annotation tools, compute, simulation, and algorithm partnerships |
| Regulatory and quality leaders | Medtech manufacturers, compliance consultants, notified-body-facing teams | Assess regulatory readiness, risk controls, AI governance, documentation standards | High relevance for validation, compliance software, documentation, cybersecurity, and QMS solutions |
| Procurement and sourcing teams | Hospitals, health systems, medtech firms, laboratories | Vendor qualification, pricing review, contract negotiation | Direct buyers for platforms, services, hardware, integration, and support contracts |
| Investors and venture partners | VC funds, corporate venture arms, innovation funds | Influence growth funding, partnerships, portfolio introductions | Useful for startup partnerships, co-selling, and market validation conversations |
| Startup founders and business development teams | Health AI startups, medtech spinouts, software providers | Seek partnerships, channels, pilots, customers, and investors | High networking value for channel development and ecosystem partnerships |
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Barcelona | Local medtech, biotech, hospital, research, and digital health participants | High | Barcelona is a strong innovation and healthcare hub with access to hospitals, universities, and startup ecosystems. |
| Catalonia | Regional healthcare, research, device, and technology organizations | High | Likely draw for regional innovation clusters and hospital systems. |
| Madrid and other Spanish hubs | National medtech buyers, health system stakeholders, investors, and public-private research groups | Medium to High | Likely national reach if speaker and partnership content is strong. |
| Western and Northern Europe | Cross-border medtech firms, AI vendors, hospitals, research institutions | Medium | Likely relevant to Germany, France, Netherlands, Switzerland, Nordics, and the UK. |
| International | Selective attendance from North America, Middle East, and Asia-Pacific | Unconfirmed | Likely only if the event has a strong global speaker roster and sponsor participation. Current-year evidence not publicly confirmed. |
| Reach Level | Assessment | Explanation |
|---|---|---|
| Regional | Primary classification | Confirmed data supports Barcelona, Spain as host location, but current-year public evidence is insufficient to prove a fully global delegate base. Most defensible classification at this stage is regional-to-European with international potential. |
| National / European | Secondary reach description | Likely to attract Spanish and wider European medtech and AI stakeholders, subject to final program and official promotion. |
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Current-year buyer / attendee company list not publicly confirmed | N/A | No official current-year attendee, sponsor, speaker, exhibitor, or buyer directory was available in the information provided for verified company-level inclusion. | N/A | N/A | Confirmed Government / Procurement Organization |
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Chief Technology Officer | Technology / Product | C-Level | Owns AI adoption, technical partnerships, architecture direction, and platform selection. |
| 2 | Chief Medical Officer | Clinical / Medical Affairs | C-Level | Influences clinical validation, patient safety, and real-world adoption. |
| 3 | VP / Director of Product Management | Product | VP / Director | Evaluates embedded AI, product-market fit, and commercial roadmap priorities. |
| 4 | Director of R&D / Innovation | Research & Development | Director | Key for pilot projects, technology evaluation, and co-development discussions. |
| 5 | Head of AI / Machine Learning | Data Science / Engineering | Head / Director | Direct evaluator of model quality, data readiness, deployment, and governance. |
| 6 | Clinical Informatics Director | Clinical IT / Informatics | Director | Important for implementation into care pathways and hospital workflows. |
| 7 | Procurement Manager | Procurement / Sourcing | Manager | Useful for contract pathway, vendor onboarding, and commercial conversion. |
| 8 | Regulatory Affairs Director | Regulatory / Quality | Director | Critical for AI-enabled medtech compliance, documentation, and market access. |
| 9 | Business Development Director | Partnerships / Growth | Director | Targets ecosystem partnerships, channel deals, and strategic alliances. |
| 10 | Hospital Innovation Manager | Innovation / Transformation | Manager / Director | Ideal for pilot adoption, validation environments, and care delivery transformation. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Medical Devices | Core fit for medtech product companies and device innovators. | AI-enabled device development, software integration, validation |
| 2 | Hospital & Health Care | Hospitals are key adopters and evaluators of clinical AI solutions. | Clinical pilots, workflow tools, diagnostics support |
| 3 | Biotechnology | Relevant for computational biology, diagnostics, and translational innovation. | AI-assisted R&D, biomarker analysis, diagnostic workflows |
| 4 | Information Technology & Services | Enablers of deployment, integration, and data infrastructure. | Implementation, systems integration, managed services |
| 5 | Computer Software | Strong fit for AI platforms, clinical software, and analytics vendors. | Software partnerships, embedded analytics, SaaS procurement |
| 6 | Research | Academic and clinical research groups often shape AI-medtech validation. | Collaboration, datasets, co-publication, pilot studies |
| 7 | Pharmaceuticals | Relevant where AI-medtech overlaps with diagnostics and care pathways. | Companion diagnostics, digital biomarkers, evidence generation |
| 8 | Higher Education | Universities and teaching hospitals are common research participants. | Research collaboration, innovation transfer, pilot environments |
| 9 | Management Consulting | Advisory firms influence procurement and digital transformation projects. | Advisory referrals, transformation planning, market access projects |
| 10 | Venture Capital & Private Equity | Investors are common in emerging health innovation ecosystems. | Funding, strategic intros, portfolio partnerships |
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | No official prospectus or statistics available in the supplied brief | No reliable estimate should be presented without organizer data. |
| Exhibitor count | Not publicly confirmed | Unconfirmed | No exhibitor list available in the supplied brief | Conference may be sponsor-led rather than expo-led. |
| Buyer count | Not publicly confirmed | Unconfirmed | No attendee segmentation statistics published in the supplied brief | Would require official attendee profile or sales brochure. |
| Speaker count | Not publicly confirmed | Unconfirmed | No official agenda verified in the supplied brief | Speaker roster is a priority source for target account extraction. |
| Sponsor count | Not publicly confirmed | Unconfirmed | No sponsor directory verified | Sponsors often provide the first confirmed account list for prospecting. |
| Historical attendance | Historical / prior-year evidence not available in the supplied brief | Unavailable | No prior-year official statistics supplied | Prior-year evidence should be used once verified from the organizer. |
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Clinical AI applications | Improve diagnosis, triage, and treatment support | Demo clinical use cases and evidence-backed outcomes | Decision support tools, diagnostic AI, predictive analytics |
| Medtech product innovation | Embed intelligence into devices and digital platforms | Target product, engineering, and R&D leaders | Embedded AI, software modules, interoperability tools |
| Data and interoperability | Access clean, secure, compliant clinical and device data | Position around integration, governance, and deployment readiness | Data platforms, APIs, middleware, data engineering services |
| Regulatory and AI governance | Meet evolving compliance and validation standards | Engage regulatory affairs and quality teams | QMS, validation services, documentation systems, risk management tools |
| Hospital deployment and workflow improvement | Reduce friction in care delivery and operations | Focus on implementation pathway and operational ROI | Workflow automation, clinical IT integration, user training |
| Research collaboration and commercialization | Translate innovation into scalable products and pilots | Use partnership-led messaging and co-development offers | Joint development, licensing, pilot design, grant collaboration |
| Investment and growth | Assess scalable innovation and market readiness | Target investor, founder, and business development conversations | Commercial due diligence support, market access advisory, partnerships |
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | The topic naturally aligns with high-intent medtech and healthcare innovation buyers. |
| Decision-maker availability | High | This type of conference typically attracts senior product, clinical, innovation, and technical leaders. |
| Data collection potential | Medium | Potential improves significantly if official agenda, speakers, sponsors, or partners are published. |
| Apollo targeting potential | Very High | The event theme maps well to Apollo filters across medical devices, hospitals, biotech, software, and research organizations. |
| Geographic targeting potential | High | Barcelona, Spain, and the broader European medtech corridor provide a focused ICP geography. |
| Best outreach approach | High | Use thought-leadership outreach, pilot-value messaging, compliance proof, and case-study-led follow-up. |
| Overall lead quality | High | Strong vertical relevance, but limited current-year public data reduces precision until more official material is released. |
| Best use case | High | Best for account-based prospecting, speaker/sponsor scraping once published, and medtech-AI partnership outreach. |
| Limitations / risks | Medium | Current-year buyer list, venue, organizer, attendance figures, and company participation data are not yet publicly verified in this brief. |
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Medical Devices; Hospital & Health Care; Biotechnology; Information Technology & Services; Computer Software; Research; Pharmaceuticals; Higher Education; Management Consulting; Venture Capital & Private Equity | Build a focused medtech-AI buying universe. |
| Departments | Engineering; Information Technology; Product Management; Research; Operations; Procurement; Medical / Clinical; Business Development | Capture both technical evaluators and commercial decision-makers. |
| Seniority | C-Level; VP; Director; Head; Manager | Prioritize strategic buyers with budget or implementation influence. |
| Job titles | CTO; Chief Medical Officer; Head of AI; VP Product; Director of Product Management; Director of Innovation; Director of R&D; Clinical Informatics Director; Procurement Manager; Regulatory Affairs Director; Business Development Director; Hospital Innovation Manager | Align outreach with event-relevant stakeholder groups. |
| Geography | Spain; Catalonia; Barcelona; Germany; France; Netherlands; Switzerland; United Kingdom; Nordics | Start with host market and strong European medtech corridors. |
| Employee size | 11-50; 51-200; 201-500; 501-1000; 1001-5000; 5001+ | Cover both growth-stage innovators and enterprise buyers. |
| Keywords | medtech, medical AI, clinical AI, digital health, diagnostics, imaging, machine learning, AI-enabled device, remote monitoring, hospital innovation, regulatory affairs, clinical decision support | Narrow accounts to the most relevant use cases. |
| Technologies, if relevant | AI / ML stack, cloud infrastructure, imaging software, interoperability systems, health data platforms | Useful for technical-fit prospecting where Apollo enrichment supports it. |
| Revenue range, if relevant | $1M-$10M; $10M-$50M; $50M-$250M; $250M+ | Segment startups, scale-ups, and enterprise-grade buyers differently. |
| Company type | Private; Public; Nonprofit; Hospital systems; University-affiliated research organizations | Reflects the likely participant mix in a medtech-AI ecosystem event. |
| Funding / public company filters, if relevant | Recently funded healthtech; venture-backed medtech; listed medtech manufacturers | Helps prioritize active buyers, partners, and scale-ready accounts. |
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| User-provided event title and known details | User brief | Event name; Barcelona; Spain; start date 2026-10-14; end date 2026-10-15 | Medium |
| User-provided reference description | Background context | General thematic positioning around medtech and AI; likely participant types | Low to Medium |
| Official organizer website | Primary source | Not supplied in the request; organizer, venue, attendee numbers, and company participation remain pending official verification | Pending |
| Official agenda / sponsor / speaker / exhibitor lists | Primary source | Not available in the supplied brief; no current-year company-level attendee claims made in this report | Pending |
🎯 Selling to this event's audience? Get a free tailored buyer list
Tell us your work email and our AI instantly builds a buyer list matched to 2nd MedTech Meets AI — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
