CategoryIT & Technology
NexTech Week TOKYO (Spring)
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About this event
NexTech Week TOKYO (Spring) — Event Research & Buyer Targeting Description
Basic Event Facts (from official information)
- Event: NexTech Week TOKYO (Spring) — NexTech Week Tokyo (Spring edition)
- Dates: 2026-08-05 to 2026-08-06
- Venue: Tokyo International Forum
- City/Country: Tokyo, Japan
- Schedule (as listed for the NEO event / part of the spring programming): 10:00–17:00
What NexTech Week TOKYO (Spring) is (high-level positioning)
NexTech Week is a comprehensive technology exhibition designed to bring together advanced, business-facing solutions under one umbrella. In the spring edition, the event environment is built around multiple technology-focused shows that collectively cover: AI, blockchain, quantum computing, humanoid robots, and DX human resource / talent & organizational reform. The official messaging emphasizes that the event is structured to support direct meetings between technology providers and professionals from industries that want to make business operations smarter and more efficient.
The spring edition’s visitor experience is centered on enterprise applicability: attendees are not only there to “see tech,” but to compare solutions, explore implementations, and initiate practical discussions across cross-industry use cases. This makes the event especially relevant for organizations that are planning AI/DX rollouts, digital transformation programs, and organizational readiness initiatives (including HR technology, training, reskilling, and performance/reform planning).
How the show is structured (core show tracks)
NexTech Week Tokyo is presented as a bundled event with multiple specialist expos. The official content highlights:
- AI・人工知能EXPO (AI Expo Tokyo) — Japan’s largest AI trade show focusing on AI introduction for broad industries.
- AI・人工知能EXPO NEO — spring programming reference included on the event page (AI NEO track with specific dates/venue).
- BLOCKCHAIN EXPO TOKYO — blockchain technologies and applications across industries like logistics, pharma, energy, manufacturing, finance.
- QUANTUM COMPUTING EXPO TOKYO — quantum computing technologies and business/research applications.
- AI時代の人材・組織改革EXPO (Talent & Organizational Reform in the AI Era) — digital human resource development and DX talent enablement.
- ヒューマノイドロボットEXPO (Humanoid Robot Expo) — humanoid robot introduction/implementation.
1️⃣ Who attends (BUYERS / ATTENDEES)
NexTech Week Tokyo is best described as a cross-industry enterprise technology marketplace rather than a consumer event. Based on the official visitor descriptions for each track, the attendee composition typically includes:
A) Decision-makers looking to implement technology
- Manufacturing leaders evaluating AI for production, quality, predictive maintenance, and operational optimization.
- Infrastructure/Energy leaders assessing AI/advanced tech for reliability, monitoring, and modernization.
- Retail/EC/Logistics leaders exploring AI for demand, routing, inventory, customer personalization, and automation.
- Medical / healthcare leaders evaluating AI for clinical workflows, operations, and data-driven services.
- IT/Communication leaders assessing implementation pathways and integration partners.
- Finance stakeholders reviewing AI use cases and also blockchain-specific applications.
- Government / public sector offices exploring DX and organizational transformation approaches.
B) Specialists connected to implementation and adoption
- DX / Digital Transformation teams and program owners who need deployment-ready solutions.
- AI implementation leaders (model deployment, AI governance, platform/integration ownership).
- Training, reskilling, and HR-tech decision-makers under the Talent & Organizational Reform track.
- Security, compliance, and risk roles especially relevant for blockchain and emerging-technology adoption.
- Innovation / R&D and emerging-tech strategists who champion pilots for quantum and robotics.
Buyer emphasis: even when the event attracts technical interest, the “good buyer fit” is typically strongest for attendees who own a program budget or are accountable for adoption outcomes (ROI, operational KPIs, delivery timelines, staff transformation, or data readiness).
2️⃣ Where the show is happening + attendee geographic origin
- On-site location: Tokyo International Forum, Tokyo, Japan.
Geographic origin (reliability note): the official content confirms the venue city/country (Tokyo, Japan) and repeatedly frames market impact as “Japan & Asia market,” but it does not provide a numeric breakdown for attendee geography. Therefore, we position geographic origin confidently at:
- Primary: Japan-based enterprises and public-sector stakeholders attending from across Japan for national tech exposure.
- Secondary: Asia-facing interest aligned with “Japan & Asia market” framing (international participation may exist, but exact origin shares are not specified).
Best targeting geography for buyer lists: Japan nationwide (Tokyo-centric attendance naturally aligns with nearby travel convenience), plus Japan’s regional offices and national program owners in manufacturing, logistics, finance, healthcare, and government-connected entities.
3️⃣ Audience reach (Local / National / Global)
Based on the official wording, the most accurate categorization is:
- National: Strong, because it is held in one of Japan’s major event venues and targets enterprise adoption across many domestic industries.
- Regional (Asia): Present in positioning via “Japan & Asia market.”
- Global: Not explicitly stated with “worldwide” reach in the provided content; we should treat global participation as possible but unquantified.
Buyer implication: this is well-suited for buyer lists where organizations operate nationally (not only local Tokyo firms), since the event narrative is about broad adoption across multiple industries.
4️⃣ Sample buyer company names (BUYERS ONLY) + Websites
Below is a starter buyer set (ex: the kinds of buyer organizations that would align with AI/DX, blockchain, quantum-adjacent experimentation, humanoid/robotics implementation, and AI-era talent transformation). We recommend validating final fit based on your exact product category and target use case.
Important next step (we need your client product details): Please share your client’s website so we can confirm which of the tracks is the strongest match (AI implementation vs HR/DX talent vs blockchain use cases vs quantum/robotics), and then refine the buyer list to the best-fit job titles and industries.
5️⃣ Job profiles, industries & event type
Event type
- Trade show / technology exposition with enterprise adoption intent
- Cross-technology convergence: AI, blockchain, quantum computing, humanoid robots, and AI-era talent/organizational reform
- Enterprise solution matching: “compare solutions,” “direct meetings,” and “practical consultations” messaging
Job profiles to target (best-fit buyer roles)
- DX / Digital Transformation Manager (or Director)
- Head of AI / AI Strategy Lead
- AI Platform / Data & AI Engineering Manager
- Innovation / Emerging Technology Director
- Automation & Robotics Program Manager (humanoid/robotic adoption)
- IT Architecture / Enterprise Integration Lead (implementation pathway owner)
- Security & Risk Lead (especially for blockchain and governance-heavy AI environments)
- HR Tech Lead / Learning & Development (L&D) Director (for the Talent & Organizational Reform track)
- Reskilling / Workforce Transformation Program Manager
- Training & Organizational Development Manager (DX enablement through talent)
- Procurement (Indirect Tech / IT Services) when the product is a platform/SaaS
- Business Unit GM / Operations Excellence Leader (when the product has measurable operational KPI outcomes)
Industry mapping (from provided industry list)
Based on the official visitor industries (manufacturing, infrastructure/energy, retail/EC/logistics, medical, IT/communication, finance, government offices), the most relevant categories from your allowed list are:
- Artificial intelligence & implementation adjacency: Computer Software; Information Technology & Services; Internet; Information Services
- AI adoption in operations: Mechanical or Industrial Engineering; Industrial Automation; Electrical/Electronic Manufacturing; Machinery; Logistics & Supply Chain; Transportation/Trucking/Railroad
- Business transformation: Management Consulting; Program Development; Market Research (where applicable for strategy/insights)
- Talent & training track: Education Management; Higher Education; Professional Training & Coaching; Human Resources; E-Learning
- Blockchain relevance: Financial Services; Insurance (if blockchain is used in underwriting/operations); Logistics & Supply Chain; Telecommunications (if identity/secure communications are involved)
- Healthcare relevance: Hospital & Health Care
- Government relevance: Government Administration; Public Policy; Public Relations & Communications (when the product supports public-sector DX programs)
6️⃣ Estimated attendance (expected total footfall)
The official content provided does not include an explicit attendance number for the spring edition. For list-building and buyer prioritization, we treat this event as a major enterprise technology expo in Tokyo with multi-track programming, but we cannot responsibly “invent” a numeric attendance estimate.
Action for accuracy: if you want, we can produce an attendance estimate only after you provide any internal benchmark you have (e.g., your average attendance conversions from similar RX Japan events) or if you share additional official pages containing attendance figures.
7️⃣ Key focus areas & buyer engagement
Key focus areas (directly aligned to official expo tracks)
- AI adoption across industries: AI solutions, deployment readiness, cost reduction, safety improvement, and efficiency outcomes.
- Generative AI and advanced AI capabilities: generative AI, deep learning, NLP, machine learning, edge AI, interactive AI, and AI applications.
- Blockchain implementation scenarios: blockchain as a service (smart contracts, distributed ledger, cryptography, risk management), NFT services/marketplaces, Web3 services, and DAO platforms.
- Quantum computing exploration: quantum technologies, application/services with quantum computers, hardware, technical support, and consulting.
- AI-era talent and organizational reform: e-learning, training, workshops, and reskilling support for DX promotion.
- Humanoid robot adoption: implementation-focused engagement for humanoid robots.
How buyers engage (what messaging typically converts)
- Problem → Use-case → Implementation plan: buyers want “how to deploy” not just “what the tech is.”
- Business outcomes: efficiency improvement, cost reduction, safety improvement, reliability, and measurable ROI.
- Governance & risk readiness: especially important for AI governance, security, and blockchain trust/risk management.
- Change management & training alignment: for organizations attempting transformation, the Talent & Organizational Reform track makes “adoption enablement” central.
- Partner ecosystems: buyers often evaluate solution integrators alongside the technology provider.
8️⃣ Client-product fit & best buyer targeting (we need your client website)
We can only finalize the “best buyers” selection accurately after reviewing your client product requirements. The official event structure contains multiple tracks; the correct buyer list depends on which capability your client provides:
- If your client product is AI software / AI application / AI platform → prioritize AI Expo / AI NEO buyer roles (AI strategy, data/AI engineering, IT architecture, DX leadership).
- If your client product is blockchain services → prioritize blockchain use-case owners in logistics, finance, energy, compliance/security, and risk management.
- If your client product is quantum-related solutions → prioritize emerging tech leaders and research/innovation stakeholders (implementation feasibility and consulting).
- If your client product is humanoid robotics / physical AI → prioritize automation/robotics program management and operations adoption leadership.
- If your client product is HR tech / e-learning / reskilling → prioritize the Talent & Organizational Reform track buyers (L&D, HR tech, workforce transformation, training governance).
Please share the client website URL and we will: (1) map your product to the most relevant track(s), (2) select the strongest buyer industries from the official visitor themes, (3) choose the best job titles to target, and (4) return a refined list of buyer companies aligned with your requirements.
9️⃣ Priority buyer segments (recommended order for outreach)
-
AI implementation & DX leadership (Directors/Managers responsible for deployment and outcomes)
- Best for: AI platforms, AI applications, and enterprise integration solutions.
-
Talent, learning & organizational reform leaders (L&D, HR tech, reskilling program managers)
- Best for: e-learning, training/workshops, HR tech, workforce transformation tools.
-
Blockchain implementation and security/risk stakeholders
- Best for: blockchain as-a-service, smart contract tooling, identity/trust, compliance-focused blockchain.
-
Robotics/automation adopters
- Best for: humanoid robotics, physical AI implementations tied to operations and automation.
-
Emerging technology & research innovation owners
- Best for: quantum computing consulting, evaluation programs, and pilot initiatives.
Sample Buyer List (15–20 companies)
The table below is a starter set of buyer-type organizations for NexTech Week TOKYO (Spring). These are examples of likely buyer organizations based on broad alignment with AI/DX, enterprise transformation, and adjacent technology adoption. After you share your client website, we will refine this list to the highest-fit segments and titles for your exact product.
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Toyota Motor Corporation | https://global.toyota/en/ | Director / Head of DX (Digital Transformation) | Large-scale manufacturing transformation programs typically require AI/DX roadmaps, data governance, and scalable adoption across operations. |
| 2 | Hitachi, Ltd. | https://www.hitachi.com/ | AI Strategy Director / Head of AI Transformation | Strong enterprise AI & industrial solutions orientation; likely to evaluate AI application deployments across sectors. |
| 3 | Sony Group Corporation | https://www.sony.com/ | Emerging Technology Program Manager | Innovation-driven organization interested in advanced technologies and implementation pathways across digital and operational domains. |
| 4 | NEC Corporation | https://www.nec.com/ | Head of AI / Data & AI Platform | Enterprise transformation capabilities; aligns with buyers who compare AI solutions for integration and business outcomes. |
| 5 | Fujitsu Limited | https://www.fujitsu.com/ | DX Program Director / Enterprise Transformation Leader | Targets large enterprises for DX; buyers often need AI-enabled modernization, governance, and change enablement. |
| 6 | Rakuten Group, Inc. | https://global.rakuten.com/ | Head of AI Applications / Data Science Operations | Retail/EC/logistics relevance; AI application adoption for personalization, operations optimization, and data-driven decisioning. |
| 7 | SoftBank Group Corp. | https://group.softbank/en/ | Blockchain / Web3 Strategy Lead | Blockchain and next-gen strategy alignment; likely to evaluate implementation-ready blockchain solutions and partner ecosystems. |
| 8 | NTT DATA Corporation | https://www.nttdata.com/ | Head of AI Transformation (Enterprise IT) | Strong integration partner profile for enterprise AI adoption and multi-industry digital transformation programs. |
| 9 | Mizuho Financial Group, Inc. | https://www.mizuhogroup.com/ | Director of Digital / AI Governance Lead | Finance use cases often require AI governance, compliance readiness, and workflow modernization; aligns with AI-focused buyers. |
| 10 | MUFG Bank, Ltd. | https://www.mufg.jp/english/ | Head of Digital Transformation / AI Adoption | Financial services are explicitly listed as an audience sector; buyers look for AI implementation and operational efficiency. |
| 11 | Sompo Holdings, Inc. | https://www.sompo-hd.com/english/ | Head of Digital / Data & AI | Insurance organizations commonly invest in AI and secure data pipelines; good fit for AI adoption conversations. |
| 12 | Otsuka Holdings Co., Ltd. | https://www.otsuka.com/en/ | DX / Data Science Transformation Manager | Medical and life-science adjacency; aligns with AI/advanced tech interest and operational improvement initiatives. |
| 13 | East Japan Railway Company (JR East) | https://www.jreast.co.jp/e/ | Head of Digital / Smart Operations | Infrastructure-facing operations suit AI implementation themes (monitoring, optimization, service improvements). |
| 14 | Yamato Holdings Co., Ltd. | https://www yamato-holdings.com/ | DX / Logistics AI Program Manager | Logistics and supply chain alignment; likely buyer interest in AI for routing, operations visibility, and efficiency. |
| 15 | SECOM CO., LTD. | https://www.secom.co.jp/english/ | Security & Risk / Digital Trust Lead | Security and risk focus aligns well with blockchain trust/risk management and AI governance needs. |
| 16 | Japan Airlines Co., Ltd. (JAL) | https://www.jal.com/en/ | Digital Transformation Director | Large operational complexity drives demand for AI-powered optimization and DX modernization across processes. |
| 17 | Daikin Industries, Ltd. | https://www.daikin.com/ | Smart Factory / AI Implementation Lead | Manufacturing excellence and modernization alignment; strong fit for AI deployment and operational efficiency messaging. |
| 18 | Hitachi Astemo, Ltd. | https://www.hitachiastemo.com/ | AI / Robotics Program Manager | Automotive ecosystem adoption; potential interest in AI-enabled engineering and operational transformation. |
| 19 | Mercari, Inc. | https://about.mercari.com/en/ | AI Product Strategy Lead | Retail/EC and data-driven business; aligns with AI application and implementation interest for operational outcomes. |
| 20 | CaN International / HR Tech-adjacent buyers (Example: learning platform operators in Japan) | Head of L&D Tech / Reskilling Program Manager | For the Talent & Organizational Reform track, HR-tech and reskilling solution buyers are critical; we will finalize the exact companies after reviewing your client website. |
Note: One row above is intentionally left as a placeholder because we need your client website to finalize the best-fit HR-tech reskilling organizations in Japan. We will replace the placeholder with specific companies and correct job titles once we confirm your product category.
What we need from you to finalize the “best buyers” list
Please share:
- Your client website URL
- Primary product category (AI software, blockchain services, quantum consulting, humanoid/robotics solution, HR/e-learning/reskilling, etc.)
- Top industries you want to prioritize (manufacturing, logistics, finance, healthcare, government, retail/EC, etc.)
- Buyer persona preference (C-level vs Directors vs Managers; IT vs Operations vs HR)
After receiving the client website, we will return an improved buyer list with: higher-fit companies, more precise job titles, and track-specific targeting (AI, blockchain, quantum, humanoid robotics, or Talent & Organizational Reform).
Data sheet
NexTech Week TOKYO (Spring) – Event Attendee & Buyer Profile Analysis
Event Date: 21–23 April 2027 |
Location: Tokyo Big Sight, Tokyo, Japan |
Event Status: Upcoming |
Research Date: 2 July 2026
Event Overview
| Event Name | NexTech Week TOKYO (Spring) |
| Event Date | 21–23 April 2027 |
| Event Status | Upcoming |
| Venue | Tokyo Big Sight |
| City | Tokyo |
| State / Region | Tokyo Metropolis |
| Country | Japan |
| Organizer | RX Japan Ltd. |
| Official Event Website | nextech-week.jp |
| Event Type | B2B trade show / technology expo series |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Industrial Engineering; Business Services; Science & Research; Education & Training |
| Audience Reach | National with international buyer and exhibitor interest |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | High for dates, venue, organizer, and show structure; low for attendance volume because no official figure was provided in the source text. |
| Main Purpose of Event | To connect technology suppliers and solution buyers around AI, blockchain, quantum computing, humanoid robotics, and DX talent / organizational reform solutions. |
About the Event
NexTech Week TOKYO (Spring) is a multi-show B2B technology exhibition organized by RX Japan Ltd. The official website describes it as a comprehensive trade show focused on advanced technologies that can transform business performance, with dedicated show themes spanning AI, blockchain, quantum computing, humanoid robotics, and digital talent / organizational reform for the AI era.
The event matters because it attracts professionals from manufacturing, infrastructure, retail, logistics, healthcare, finance, and government organizations that are actively looking to adopt, compare, and procure emerging technologies. For suppliers, it is a strong venue for enterprise sales, partnership development, innovation scouting, and lead generation across Japan and the broader Asia market.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Enterprise technology buyers | Large manufacturers, banks, retailers, logistics firms, healthcare operators, utilities | Evaluate and approve platform adoption, pilots, and rollouts | Core target for AI, blockchain, quantum, and robotics vendors |
| Procurement and sourcing teams | Corporate procurement departments, shared service centers | Vendor selection, RFP management, commercial negotiation | Important for software, consulting, training, and implementation providers |
| IT leadership | CIO offices, IT strategy teams, infrastructure teams | Technical due diligence, architecture, integration, cybersecurity alignment | High-value audience for enterprise software, cloud, data, and security suppliers |
| Digital transformation / DX teams | Innovation offices, DX promotion units, business transformation teams | Define use cases, sponsor pilots, measure ROI | Strong fit for AI, automation, analytics, and workflow vendors |
| Operations and facility leaders | Plant operations, site managers, facilities teams, logistics operations | Operational adoption, productivity, labor efficiency, process control | Relevant for humanoid robotics, industrial AI, and workflow automation |
| R&D and innovation teams | Research labs, corporate innovation groups, product development teams | Technology scouting and proof-of-concept selection | Important for quantum computing, advanced AI, and emerging tech vendors |
| Government and public sector buyers | Central ministries, prefectural / municipal agencies, public institutions | Policy, procurement, digital modernization, public service transformation | Relevant for AI governance, civic tech, data platforms, and secure infrastructure vendors |
| HR / learning / organizational development | Talent development teams, L&D, HR transformation groups | Skills strategy, reskilling, change management, training procurement | Core for the AI-era talent and organizational reform exhibit |
| Consultants / integrators / advisors | Management consultants, systems integrators, implementation partners | Influence vendor shortlists and execution strategy | Useful channel partners for solution providers |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Host city: Tokyo | High local turnout from Tokyo-based headquarters and innovation teams | Very high | Tokyo is Japan’s largest concentration of enterprise headquarters, government offices, and technology decision-makers. |
| Host region: Kanto | Saitama, Chiba, Kanagawa, Ibaraki, Tochigi, Gunma | High | Close proximity supports short business trips and same-day attendance. |
| Other Japanese business hubs | Osaka, Nagoya, Fukuoka, Sendai, Sapporo | Medium to high | Likely attendance from national enterprise buyers and technology scouts. |
| National reach | Japanese corporations, public sector organizations, universities, startups | Very high | The event’s technology focus is broadly relevant across Japanese industry verticals. |
| International reach | Asia-Pacific solution providers, overseas tech vendors, cross-border investors | Medium | The official site states the event is an opportunity to reach the Japan & Asia market. |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Primary: National | Confirmed by event positioning | The show is designed for Japanese enterprises and institutions across multiple industries, with Tokyo as the central business draw. |
| Secondary: Global | Likely international interest | The official site highlights Japan & Asia market opportunities, indicating relevance to overseas exhibitors and technology vendors. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Toyota Motor Corporation | Industrial buyer / manufacturer | Large-scale AI, robotics, automation, and digital transformation use cases in manufacturing | global.toyota | CIO, DX Lead, Procurement Manager, Manufacturing Innovation Manager | Strong Market Fit, Attendance Not Confirmed |
| Mitsubishi UFJ Financial Group | Financial services buyer | Blockchain, AI governance, analytics, risk and compliance modernization | mufg.jp | CIO, Head of Innovation, IT Director, Procurement Director | Strong Market Fit, Attendance Not Confirmed |
| Sony Group Corporation | Technology / electronics buyer | AI productization, R&D, advanced compute, and digital innovation | sony.com | VP Engineering, R&D Director, Innovation Manager, Procurement Lead | Strong Market Fit, Attendance Not Confirmed |
| NTT DATA Group Corporation | IT services / integrator | Solution sourcing, integration, and enterprise AI implementation | group.ntt | Business Development Director, Solution Architect Lead, Partnerships Director | Strong Market Fit, Attendance Not Confirmed |
| Hitachi, Ltd. | Industrial technology buyer | Industrial AI, operational optimization, digital infrastructure, automation | hitachi.com | Operations Director, Digital Transformation Lead, CIO Office | Strong Market Fit, Attendance Not Confirmed |
| AEON Co., Ltd. | Retail buyer | Retail analytics, automation, supply chain optimization, customer-facing AI | aeon.info | Category Manager, IT Director, Procurement Manager, Retail Innovation Lead | Strong Market Fit, Attendance Not Confirmed |
| Japan Post Holdings Co., Ltd. | Logistics / public-facing services buyer | Automation, logistics optimization, operational AI, and service digitization | japanpost.jp | Operations Director, Logistics Innovation Lead, Procurement Director | Strong Market Fit, Attendance Not Confirmed |
| Tokyo Metropolitan Government | Government buyer | Public-sector AI adoption, smart city programs, digital service modernization | metro.tokyo.lg.jp | Procurement Officer, Digital Policy Manager, Program Director | Strong Market Fit, Attendance Not Confirmed |
| Fujitsu Limited | Technology buyer / systems integrator | Enterprise AI, quantum, blockchain, and solution partnership opportunities | fujitsu.com | Partnerships Director, Product Manager, CIO, Innovation Lead | Strong Market Fit, Attendance Not Confirmed |
| Mitsubishi Heavy Industries, Ltd. | Industrial / engineering buyer | Industrial automation, robotics, AI for engineering and operations | mhi.com | Engineering Director, Operations Director, Strategic Sourcing Manager | Strong Market Fit, Attendance Not Confirmed |
| KDDI Corporation | Telecom / digital services buyer | AI services, platform partnerships, network transformation, enterprise solutions | kddi.com | Business Development Director, Product Manager, IT Director | Strong Market Fit, Attendance Not Confirmed |
| Rakuten Group, Inc. | Digital commerce buyer | Retail / e-commerce AI, data, automation, and platform innovation | rakuten.com | E-commerce Director, Data Lead, Category Manager, Procurement Manager | Strong Market Fit, Attendance Not Confirmed |
| Sumitomo Mitsui Financial Group | Financial services buyer | Enterprise AI, security, workflow automation, and digital risk tools | smfg.co.jp | CIO, Procurement Director, Digital Strategy Manager | Strong Market Fit, Attendance Not Confirmed |
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Chief Information Officer / CIO | IT / Digital | C-level | Owns enterprise technology direction and major platform investments. |
| 2 | Chief Technology Officer / CTO | Technology / R&D | C-level | Evaluates emerging technology, architecture, and innovation partnerships. |
| 3 | Director of Procurement / Strategic Sourcing Manager | Procurement / Supply Chain | Director / Manager | Controls vendor shortlist, commercial terms, and buying process. |
| 4 | Digital Transformation Lead / DX Manager | Transformation / Innovation | Manager / Director | Sponsors pilots and enterprise change programs. |
| 5 | Innovation Manager / Technology Scout | Innovation / R&D | Manager / Senior Manager | Responsible for discovering and validating emerging solutions. |
| 6 | Operations Director / Plant Manager | Operations | Director / Senior Manager | Looks for productivity, labor, and automation improvements. |
| 7 | Product Manager / Platform Owner | Product / Digital | Manager / Director | Defines product requirements and partner selection. |
| 8 | HR Director / L&D Manager | Human Resources | Manager / Director | Key buyer for AI-era reskilling and organizational reform solutions. |
| 9 | Government Procurement Officer / Program Manager | Public Sector / Administration | Manager / Officer | Supports digital modernization and procurement of secure systems. |
| 10 | Business Development Director / Partnerships Director | Commercial / Alliances | Director / VP | Important for channel sales, integrator partnerships, and co-selling. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Core audience for AI, cloud, data, and platform adoption. | Enterprise software and integration sales |
| 2 | Computer Software | Strong fit for AI, analytics, workflow, and automation vendors. | SaaS, AI, and developer tools |
| 3 | Industrial Automation | Relevant to robotics, smart factories, and process automation. | Operational technology and robotics |
| 4 | Automotive | Large-scale innovation and manufacturing use cases. | Smart manufacturing and AI ops |
| 5 | Financial Services | Blockchain, governance, security, and workflow modernization. | Risk, compliance, and digital banking |
| 6 | Government Administration | Public-sector digital transformation and procurement. | GovTech and secure modernization |
| 7 | Logistics & Supply Chain | Operational AI, automation, and supply chain optimization. | Warehouse and transport technology |
| 8 | Retail | AI for merchandising, inventory, and customer experience. | Retail technology and analytics |
| 9 | Hospital & Health Care | Healthcare operations and digital patient-service use cases. | Clinical workflow and hospital automation |
| 10 | Telecommunications | Infrastructure, AI services, and enterprise solution partnerships. | Network transformation and B2B partnerships |
| 11 | Research | Quantum computing and advanced AI exploration. | R&D collaboration |
| 12 | Education Management | Digital skills, reskilling, and organizational reform solutions. | Training and learning platforms |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Not publicly confirmed | Confirmed unavailable | Official website text reviewed; no attendance number published in provided source | Do not treat as a verified attendance claim. |
| Exhibitor count | Not publicly confirmed | Confirmed unavailable | Official website excerpt did not provide a numeric exhibitor count | Use exhibitor directory if available for campaign buildout. |
| Buyer count | Not publicly confirmed | Confirmed unavailable | No official count in source text | Likely strong enterprise buyer presence based on show positioning. |
| Speaker count | Not publicly confirmed | Confirmed unavailable | Not provided in the extracted official text | Check agenda / seminar pages for finalized counts. |
| Sponsor count | Not publicly confirmed | Confirmed unavailable | Not provided in the extracted official text | Review sponsor prospectus if needed. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| AI | Automation, decision support, prediction, productivity | Executive demos, use-case workshops, proof-of-value conversations | Generative AI, ML platforms, AI agents, MLOps |
| Blockchain | Traceability, trust, shared records, digital assets | Procurement, finance, and supply-chain use-case meetings | Ledger platforms, smart contract solutions, Web3 services |
| Quantum computing | Research, optimization, next-gen compute experiments | Innovation scouting and technical discovery meetings | Quantum software, hardware, consulting, research services |
| Robotics / humanoid robotics | Labor augmentation, site automation, productivity | Operations-focused demos and plant-level meetings | Robots, control systems, integration services |
| DX talent / organizational reform | Reskilling, change management, AI readiness | HR and leadership conversations about workforce transformation | Training, learning platforms, workshop programs, consulting |
| Enterprise integration | Adoption, security, system interoperability, ROI | Solution briefings with IT and procurement stakeholders | Implementation, integration, managed services |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Very High | The official show positioning explicitly targets business buyers looking to apply advanced technologies. |
| Decision-maker availability | High | Likely attendance from CIO, IT, procurement, innovation, and operations leaders. |
| Data collection potential | High | Strong potential if exhibitor, seminar, or visitor registration data is accessible. |
| Apollo targeting potential | Very High | Multiple relevant industries, departments, and seniority levels map cleanly to Apollo filters. |
| Geographic targeting potential | High | Tokyo and Kanto are strong, while national enterprise accounts remain the primary target set. |
| Best outreach approach | Account-based outreach + role-based segmentation | Use industry-specific messaging by solution theme and buying function. |
| Overall lead quality | High | Excellent event for enterprise technology prospecting, especially in Japan. |
| Best use case | B2B lead generation, exhibitor prospecting, attendee list sales, partnership development | Best suited for technology vendors, consultancies, integrators, and training providers. |
| Limitations / risks | Attendance volume not publicly confirmed | Use verified registration, directory, or sponsor data before making volume claims. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Industrial Automation; Financial Services; Government Administration; Logistics & Supply Chain; Retail; Hospital & Health Care; Telecommunications; Research; Education Management | Reach technology buyers and end-user organizations with direct budget ownership or strong influence. |
| Departments | IT, Procurement, Operations, Innovation, R&D, Human Resources, Digital Transformation, Strategy | Align messaging to buying committee functions. |
| Seniority | Manager, Director, VP, CXO, Head of, Partner, General Manager | Prioritize decision-makers and budget owners. |
| Job titles | CIO, CTO, IT Director, Digital Transformation Lead, Procurement Director, Strategic Sourcing Manager, Innovation Manager, Operations Director, Product Manager, HR Director, L&D Manager | Focus on roles that attend tech expos to source, benchmark, and approve solutions. |
| Geography | Japan; Tokyo Metropolis; Kanto; Osaka; Aichi; Kanagawa; Chiba; international APAC accounts if relevant | Maximize relevance to the host market and nearby enterprise clusters. |
| Employee size | 200+; prioritize 500+, 1,000+, and 5,000+ for enterprise deals | The event’s solution themes skew toward enterprise buyers and complex procurement. |
| Keywords | AI, generative AI, blockchain, quantum computing, robotics, DX, digital transformation, reskilling, smart factory, automation, MLOps, data platform | Find contacts actively aligned to the event themes. |
| Company type | Enterprise; government; public institution; system integrator; consultancy; large manufacturer; retailer; logistics operator | Supports buyer-focused list building rather than pure exhibitor lists. |
| Revenue / funding | Prefer mid-market to large enterprise revenue bands where available | Improves fit for higher-ticket technology and consulting offerings. |
Suggested Apollo search logic: (AI OR digital transformation OR procurement OR innovation OR robotics OR quantum) AND (CIO OR CTO OR “Procurement Director” OR “Digital Transformation Lead” OR “Innovation Manager” OR “Operations Director”) AND Japan.
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 |
|---|---|---|---|
| NexTech Week Tokyo official English page | Official organizer website | Event structure, show themes, industry relevance, target sectors, and Tokyo venue references | Very High |
| NexTech Week official home page | Official organizer website | Spring 2027 date and Tokyo Big Sight venue, event positioning, sub-show structure | Very High |
| Tokyo Big Sight official website | Venue website | Venue identity and Tokyo location context | High |
| RX Japan Ltd. official website | Organizer website | Organizer identity and event-management context | High |
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