2026 5th International Conference on Computer Applications Technology (CCAT 2026)
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About this event
2026 5th International Conference on Computer Applications Technology (CCAT 2026)
The 5th International Conference on Computer Applications Technology (CCAT 2026) invites researchers, engineers, academics, and industry professionals to exchange innovative ideas, research outcomes, and practical applications in the field of computer science and technology. This premier event will be held from , at the Paris Marriott Marquis Pont Neuf in Paris, France, fostering global collaboration and advancing technological frontiers.
Event Overview
CCAT 2026 focuses on cutting-edge developments in computer applications, including artificial intelligence, machine learning, cybersecurity, internet of things (IoT), cloud computing, data science, and software engineering. The conference aims to bridge theoretical research with industrial implementation, addressing challenges and opportunities in a rapidly evolving digital landscape.
Key Details
- Date: June 15–17, 2026
- Venue: Paris Marriott Marquis Pont Neuf, Paris, France
- Event Type: Academic & Industry Conference
- Audience Reach: Global
- Estimated Attendance: 500+ participants from 40+ countries
Who Attends
CCAT 2026 attracts a diverse audience, including:
- Academic researchers and professors
- Software engineers and developers
- IT professionals and enterprise technologists
- PhD students and graduate researchers
- Industry leaders and startup founders
- Government and policy advisors in technology
Geographic Reach & Location
Hosted in Paris, a global hub for innovation, CCAT 2026 draws attendees from North America, Europe, Asia, and beyond. Key geographic targets include:
- North America (30%): Tech companies and universities
- Europe (40%): Research institutions and EU-funded projects
- Asia-Pacific (25%): Emerging tech markets and startups
- Middle East & Africa (5%): Government and academic delegations
Sample Buyer Company Profiles
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Microsoft Research | https://www.microsoft.com/en-us/research/ | Principal Research Engineer | Active in AI, cloud computing, and collaborative research. |
| 2 | IBM France | https://www.ibm.com/fr-fr | AI Solutions Architect | Focus on enterprise AI, quantum computing, and cybersecurity. |
| 3 | SAP SE | https://www.sap.com | Head of Data Science | Invests in data analytics, IoT, and enterprise software solutions. |
| 4 | Thales Group | https://www.thalesgroup.com | Cybersecurity Director | Leader in secure technologies and critical infrastructure protection. |
| 5 | Start-Up Chile | https://www.startupchile.org | Chief Innovation Officer | Supports global tech startups in AI, fintech, and agritech. |
Job Profiles, Industries & Event Type
Target industries include:
- Computer Software
- Information Technology & Services
- Artificial Intelligence
- Cybersecurity
- Research Institutions
- Telecommunications
- Chief Technology Officer (CTO)
- Lead Data Scientist
- Cloud Infrastructure Manager
- Academic Researcher
- Product Development Manager
Key Focus Areas & Buyer Engagement
CCAT 2026 emphasizes:
- AI and Machine Learning Innovations
- Next-Gen Cybersecurity Solutions
- Industrial IoT and Edge Computing
- Blockchain and Decentralized Systems
- Collaborative Research Partnerships
- Keynote speeches and technical workshops
- Exhibition booths for product demos
- Networking sessions with academia and industry
- Publication opportunities in IEEE journals
Call for Papers & Participation
Submit research papers, case studies, or workshop proposals by . Participation options include:
- Presenter (oral/poster)
- Virtual participant
- Exhibitor or sponsor
Why Participate?
CCAT 2026 offers unparalleled opportunities to:
- Present groundbreaking research to a global audience
- Network with potential collaborators and investors
- Stay updated on emerging technologies and trends
- Enhance career prospects through academic and industry linkages
Data sheet
2026 5th International Conference on Computer Applications Technology (CCAT 2026) – Event Attendee & Buyer Profile Analysis
Event date: 18 December 2026 – 20 December 2026
Location: Fukuoka, Japan
Event status: Upcoming
Research date: 29 June 2026
Event Overview
| Event Name | 2026 5th International Conference on Computer Applications Technology (CCAT 2026) |
| Event Date | 18 December 2026 – 20 December 2026 |
| Event Status | Upcoming |
| Venue | Venue not publicly confirmed in the materials provided. |
| City | Fukuoka |
| State / Region | Fukuoka Prefecture |
| Country | Japan |
| Organizer | Organizer not publicly confirmed in the materials provided. |
| Official Event Website | Official event website not verified from the materials provided. |
| Event Type | Academic & Industry Conference |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Education & Training |
| Audience Reach | Likely international academic and professional reach, based on the conference format and subject matter. Current-year reach not fully verified. |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for current-year volume metrics. User-provided description includes conflicting date and location details versus the known details supplied for this request. |
| Main Purpose of Event | To convene researchers, engineers, academics, and industry professionals focused on computer applications technology, including AI, machine learning, cybersecurity, IoT, cloud, data science, and software engineering. |
About the Event
CCAT 2026 is positioned as a specialist conference focused on computer applications technology, with expected relevance across artificial intelligence, machine learning, cybersecurity, cloud computing, data science, IoT, and software engineering. Based on the materials provided, the event is intended to bring together academic researchers and technical practitioners for research exchange, applied technology discussion, and professional networking.
From a commercial and lead-generation perspective, the event appears more valuable for thought-leadership outreach, research collaboration, university-industry partnerships, developer tools, enterprise software discussions, and advanced technology solution prospecting than for high-volume transactional buying. It is likely relevant to technology vendors, cloud providers, cybersecurity firms, research institutions, engineering teams, and innovation-driven organizations, but current-year participant verification is still required before treating it as a confirmed attendee-list opportunity.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers and faculty | Universities, engineering schools, computer science departments, research labs | Influence research tools, lab software, cloud credits, data platforms, publication tools | High relevance for academic software, compute infrastructure, analytics, cybersecurity, and research collaboration offerings |
| Industry R&D leaders | Enterprise technology firms, electronics companies, industrial innovation centers | Shape proof-of-concept adoption, research partnerships, product roadmaps | High relevance for AI platforms, embedded systems, engineering software, and data infrastructure |
| Software engineers and developers | Software vendors, startups, product teams, systems integrators | Technical evaluators and product users | Strong relevance for API tools, developer platforms, DevOps, cloud, testing, and cybersecurity products |
| IT leadership and enterprise architects | Corporate IT departments, digital transformation teams, enterprise architecture groups | Evaluate strategic platforms, infrastructure, integration, and governance models | High relevance for cloud migration, cybersecurity, data platforms, and enterprise software vendors |
| Cybersecurity professionals | Security operations teams, cyber labs, security vendors, public institutions | Technical and operational buying influence | Relevant for security analytics, network defense, identity, and compliance solutions |
| Graduate researchers and PhD candidates | Universities, doctoral programs, AI and systems labs | Future technical evaluators; limited immediate budget authority | Useful for early adoption, community building, trial users, and future enterprise influence |
| Startup founders and innovation teams | Tech startups, incubators, applied AI ventures | Direct buyers of technical tools, credits, and development services | Relevant for SaaS, AI tools, data services, developer products, and infrastructure support |
| Conference speakers, session chairs, and program committee members | Academic leaders, senior engineers, research managers | High influence, moderate direct procurement authority | Strong for partnership-led outreach, sponsorship, demos, and credibility-based business development |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Fukuoka | Host-city attendees from universities, local innovation centers, startup ecosystems, and corporate technology teams | Medium | Likely strongest for local academic institutions and regional tech communities |
| Fukuoka Prefecture / Kyushu Region | Regional researchers, engineers, and IT professionals | Medium to High | Good catchment area for engineering universities and regional enterprise technology users |
| Major Japanese business hubs | Tokyo, Osaka, Nagoya, Yokohama, Kobe, and other national research and IT centers | High | Likely source of enterprise speakers, research groups, and technology vendors if the event has national academic standing |
| National Japan | Universities, public research organizations, enterprise IT teams, and startup founders | High | Likely primary attendance pool, subject to organizer confirmation |
| Asia-Pacific | Regional academics, researchers, and technology professionals | Medium | Possible international participation due to the conference theme, but current-year country mix not verified |
| Global | International researchers and conference authors | Medium | Likely international conference profile, but global attendance should not be assumed as confirmed without official registration data |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Likely primary classification | The conference theme and naming convention indicate an international research-oriented event. However, current-year origin data should be verified from the official website, committee page, or attendee materials. |
| Secondary reach description | Strong national and Asia-Pacific relevance | Fukuoka provides strong access to Japanese academic and technology communities, with likely additional draw from nearby Asia-Pacific institutions. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Kyushu University | University / Research Institution | Major computer science and engineering institution in the host region; highly relevant for academic attendance and research collaboration | kyushu-u.ac.jp | Professor, Lab Director, Associate Professor, Researcher, IT Director | Strong Market Fit, Attendance Not Confirmed |
| Fukuoka University | University | Relevant local institution with likely interest in computer applications research and conference participation | fukuoka-u.ac.jp | Faculty Member, Dean, Research Coordinator, Systems Manager | Strong Market Fit, Attendance Not Confirmed |
| National Institute of Informatics | National Research Organization | High relevance for national-level computing research, data infrastructure, and academic collaboration | nii.ac.jp | Research Director, Senior Researcher, Program Manager, Systems Architect | Strong Market Fit, Attendance Not Confirmed |
| RIKEN | Research Institute | Relevant for AI, computing, data-intensive science, and applied research partnerships | riken.jp | Research Scientist, Center Director, HPC Program Lead, Technical Manager | Strong Market Fit, Attendance Not Confirmed |
| Fujitsu | Enterprise Technology Company | Relevant to AI, cloud, cybersecurity, systems integration, and enterprise computing discussions | fujitsu.com | R&D Manager, CTO Office, Innovation Director, Solution Architect | Strong Market Fit, Attendance Not Confirmed |
| NEC | Enterprise Technology Company | Strong fit across AI, cybersecurity, digital identity, public-sector systems, and applied computing | nec.com | Chief Engineer, R&D Director, IT Strategy Director, Product Manager | Strong Market Fit, Attendance Not Confirmed |
| NTT DATA | IT Services / Systems Integration | Relevant for enterprise software, data, cloud, AI implementation, and digital transformation topics | nttdata.com | Delivery Director, Enterprise Architect, Data Director, Practice Lead | Strong Market Fit, Attendance Not Confirmed |
| Hitachi | Industrial and Digital Technology Company | Relevant where computer applications intersect with industrial systems, IoT, data, and smart infrastructure | hitachi.com | Digital Innovation Lead, IoT Director, Data Platform Manager, Engineering Director | Strong Market Fit, Attendance Not Confirmed |
| Sony | Technology and Electronics Company | Relevant for AI, imaging, edge computing, software engineering, and applied R&D | sony.com | Research Engineer, Product R&D Manager, Software Director, AI Lead | Strong Market Fit, Attendance Not Confirmed |
| Preferred Networks | AI Company | Highly relevant to machine learning, advanced computing, and industry-academic AI dialogue | preferred.jp | Research Scientist, ML Lead, Engineering Manager, Platform Director | Strong Market Fit, Attendance Not Confirmed |
Note: No current-year attendee, speaker, sponsor, exhibitor, or buyer organization list was verified from the materials provided. The organizations above are prospecting targets selected for strong market relevance to the event theme and host geography, not confirmed current-year participants.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | CTO | Technology / Executive | C-Level | Owns technology strategy, innovation partnerships, and high-value solution evaluation |
| 2 | CIO | Information Technology | C-Level | Key buyer for enterprise infrastructure, cloud, data, and digital transformation |
| 3 | Director of Research / Research Director | R&D | Director | Critical in academia-industry collaboration, research tooling, and advanced platform adoption |
| 4 | IT Director | Information Technology | Director | Evaluates infrastructure, software, security, and implementation partners |
| 5 | Head of AI / Machine Learning Lead | Data / AI | Director / Head | Important for AI platforms, model infrastructure, and applied ML partnerships |
| 6 | Cybersecurity Director / Security Architect | Security | Director / Senior IC | Relevant where cyber, privacy, and secure systems topics are part of the conference scope |
| 7 | Professor / Principal Investigator | Academic / Research | Senior | Influences lab software, compute resources, collaborations, and adoption of technical tools |
| 8 | Product Manager | Product | Manager | Useful for applied technology sourcing and feature-driven partnership outreach |
| 9 | Engineering Manager | Engineering | Manager | Strong evaluator of developer tools, software infrastructure, and implementation support |
| 10 | Program Manager / Innovation Program Lead | Programs / Innovation | Manager / Director | Relevant for funded initiatives, pilot projects, and collaborative R&D activities |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Direct fit for enterprise IT, digital transformation, systems integration, and software services | Enterprise solution buyers and implementation partners |
| 2 | Computer Software | Core fit for software product teams, platforms, and application developers | Developer tools, SaaS, platforms, and product collaboration |
| 3 | Research | Strong fit for institutes, research labs, and applied computing centers | Academic and scientific technology partnerships |
| 4 | Higher Education | Likely major attendee base for a research-oriented conference | University labs, deans, professors, and campus IT |
| 5 | Computer & Network Security | Fits cybersecurity content area and security-minded attendees | Security software, threat detection, and privacy solutions |
| 6 | Computer Hardware | Relevant for compute, edge devices, and systems engineering discussions | Hardware platforms, edge devices, and compute infrastructure |
| 7 | Electrical/Electronic Manufacturing | Useful where embedded systems, sensors, and applied technology intersect | IoT, smart devices, and industrial digitalization |
| 8 | Industrial Automation | Relevant for practical applications of AI, analytics, and control systems | Smart factory, automation, and operational data platforms |
| 9 | Telecommunications | Relevant for networking, IoT, edge, and infrastructure use cases | Connectivity, distributed systems, and edge application buyers |
| 10 | Government Administration | Applicable if public universities and digital research programs participate | Public research funding, academic consortia, digital public initiatives |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | No verified official registration or attendance figure in the provided materials | Do not use the 500+ claim from the user-supplied draft as confirmed current-year data |
| Exhibitor count | Not publicly confirmed | Unconfirmed | No exhibitor directory identified | Conference format may have sponsors rather than a trade-show style exhibitor hall |
| Buyer count | Not publicly confirmed | Unconfirmed | No attendee segmentation file identified | Likely mixed academic and technical audience rather than dedicated procurement attendance |
| Speaker count | Not publicly confirmed | Unconfirmed | No agenda or speaker list verified | Speaker organizations could become strong outreach targets once published |
| Sponsor count | Not publicly confirmed | Unconfirmed | No sponsor page verified | Useful signal for commercial maturity once available |
| Historical attendance | Historical figures not verified | Unconfirmed | No official prior-year attendance evidence identified in the provided materials | Prior-year participation evidence should be collected before using this event for list-building promises |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Artificial Intelligence | Model development, applied AI, research collaboration, deployment tools | Technical sessions, demos, pilot partnerships, cloud credits | AI platforms, MLOps, compute services, data tooling |
| Machine Learning | Experimentation, optimization, data pipelines, model lifecycle management | Proof-of-concept outreach and research-to-product conversations | MLOps, annotation, training infrastructure, analytics platforms |
| Cybersecurity | Secure architecture, threat monitoring, privacy, resilient computing | Security workshops, architecture discussions, compliance-led outreach | Security software, IAM, SOC tooling, network defense |
| Cloud Computing | Scalable infrastructure, storage, development environments, deployment efficiency | Infrastructure migration conversations and credits-based campaigns | Cloud services, containers, orchestration, observability |
| Data Science | Data management, analytics, visualization, reproducibility | Academic lab outreach and enterprise analytics positioning | Data platforms, BI, ETL, governance, lakes/warehouses |
| Internet of Things (IoT) | Device connectivity, edge processing, telemetry, systems integration | Industry-academic pilots and applied engineering discussions | IoT platforms, edge hardware, connectivity management |
| Software Engineering | Dev productivity, testing, architecture, reliability, collaboration | Developer-led demos and platform adoption campaigns | Dev tools, CI/CD, QA automation, code security |
| Digital Transformation | Modernization, integration, enterprise enablement, innovation programs | Executive meetings, architecture workshops, partnership development | Enterprise software, consulting, systems integration, managed services |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium to High | Strong for research, enterprise technology, AI, cloud, cybersecurity, and university-industry outreach; weaker for conventional procurement-only selling |
| Decision-maker availability | Medium | Likely access to technical and research decision-makers, but not necessarily budget sign-off leaders in every case |
| Data collection potential | Medium | Potential improves significantly if agenda, author list, committee list, and sponsor pages become available |
| Apollo targeting potential | High | The event topic maps well to clear Apollo industries, titles, departments, and seniority filters |
| Geographic targeting potential | High | Japan-first targeting with APAC expansion is practical for conference-aligned outreach |
| Best outreach approach | High-value consultative outreach | Use thought leadership, collaboration opportunities, demos, technical workshops, and research relevance rather than mass sales messaging |
| Overall lead quality | Medium to High | Good event for specialized B2B technology targeting, especially if the client sells advanced technical solutions or research-aligned offerings |
| Best use case | Expert-led prospecting and partnership development | Most suitable for AI, software, cloud, cybersecurity, research infrastructure, and technical service providers |
| Limitations / risks | Medium | Current-year public validation is incomplete. This event is not yet suitable for promised attendee-list sales without official participant evidence. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Higher Education; Research; Computer & Network Security; Computer Hardware; Electrical/Electronic Manufacturing; Industrial Automation; Telecommunications; Government Administration | Align target accounts with the event’s technical and research profile |
| Departments | Engineering; Information Technology; Research; Product; Security; Operations; Education | Narrow toward technical and implementation-focused stakeholders |
| Seniority | C-Level; VP; Director; Head; Manager; Owner; Partner; Senior | Prioritize decision-makers and strong technical influencers |
| Job titles | CTO, CIO, IT Director, Research Director, Professor, Principal Investigator, Engineering Manager, Product Manager, Head of AI, Machine Learning Lead, Security Architect, Enterprise Architect, Innovation Director | Capture buyers and influencers most likely to engage with conference topics |
| Geography | Japan first; then APAC; then global research-intensive markets | Match likely audience origin and improve relevance |
| Employee size | 11–50; 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Include startups, universities, research institutions, and large enterprises |
| Keywords | artificial intelligence, machine learning, cybersecurity, IoT, cloud computing, data science, software engineering, research lab, computer applications, digital transformation | Surface organizations aligned to likely event themes |
| Technologies, if relevant | Cloud, AI/ML stack, containerization, analytics, DevOps, data infrastructure, security tools | Useful if Apollo enrichment supports technology-based filtering |
| Revenue range, if relevant | Mid-market to enterprise for commercial deals; not required for universities and public research bodies | Separate enterprise buying targets from academic collaboration targets |
| Company type | Public company, private company, university, nonprofit research institution, government-affiliated research body | Broaden coverage across the likely conference ecosystem |
Suggested Apollo Search Logic: ("artificial intelligence" OR "machine learning" OR cybersecurity OR "cloud computing" OR "data science" OR IoT OR "software engineering") AND (CTO OR CIO OR "IT Director" OR "Research Director" OR Professor OR "Engineering Manager" OR "Product Manager" OR "Head of AI" OR "Security Architect") AND (Japan OR APAC). For university-led outreach, swap commercial titles for Professor, Principal Investigator, Lab Director, Dean, or Research Manager.
Client Fit Review Required
Please share the client website or product/service details. I will review the client offering and identify the highest-fit buyer companies, Apollo industries, seniority levels, departments, and job titles from this event.
Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| User-provided event brief | Provided reference material | Event title, city, country, start date, end date, and thematic scope | Medium |
| User-provided narrative description | Provided reference material | Conference topic areas and intended participant profile | Medium; contains conflicting date/location details versus the known details supplied in the request |
| Official event website | Primary source | Not verified from the materials provided | Pending verification |
| Official organizer, agenda, speaker, sponsor, exhibitor, or attendee list | Primary source | No current-year official participant evidence verified from the materials provided | Pending verification |
Verification note: The draft description supplied for reference mentions Paris, France and June 15–17, 2026, which conflicts with the known event details supplied for this request: Fukuoka, Japan, December 18–20, 2026. This report follows the known details provided by the user and treats unsupported attendance and venue claims as unconfirmed until official source validation is available.
🎯 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 2026 5th International Conference on Computer Applications Technology (CCAT 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
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