
DTECH Data Centers & AI 2026
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About this event
DTECH Data Centers & AI 2026
Event type: Data Center Infrastructure, AI Infrastructure, Cloud, Networking, Power & Cooling, Security, Edge Computing, Enterprise IT, Digital Infrastructure
Overall buyer value: High for infrastructure vendors, enterprise technology providers, power/cooling suppliers, cybersecurity firms, colocation operators, cloud partners, facilities companies, and AI ecosystem businesses.
DTECH Data Centers & AI 2026 is the kind of event that attracts serious infrastructure decision-makers rather than casual visitors. It sits at the intersection of data center buildouts, AI readiness, cloud operations, power density, liquid cooling, networking, sustainability, and enterprise-scale digital transformation. For attendee-list buyers, this is a strong event because the audience is highly commercial, highly technical, and heavily influenced by capital investment decisions.
The best value from this event is not just in the number of attendees, but in the quality of the buyer ecosystem: data center owners, operators, developers, cloud providers, hyperscalers, colocation firms, facility engineering teams, security leaders, networking specialists, AI infrastructure teams, and vendors selling into these accounts.
1️⃣ Who attends: Buyers / attendees
This event is primarily attended by professionals involved in building, managing, securing, powering, cooling, and scaling digital infrastructure. It is not a general business show. The audience is specialized, and that makes it more valuable for B2B list monetization when the client product matches the infrastructure stack.
Main attendee groups include:
- Data center operators and executives
- Colocation and hyperscale decision-makers
- Cloud infrastructure and platform teams
- AI infrastructure, compute, and workload planning teams
- Facilities, energy, electrical, and mechanical engineering leaders
- IT infrastructure managers and network architects
- Power, cooling, UPS, generator, and electrical equipment buyers
- Cybersecurity and physical security professionals
- Construction, design, commissioning, and retrofit specialists
- Real estate, site selection, and development professionals
- Managed services, MSP, and service integration leaders
- Public sector and enterprise digital transformation teams
The best buyers at this show are generally not only the visible exhibitors. The strongest buyer signals come from: infrastructure procurement, operations management, engineering leadership, technology strategy, and executive teams responsible for uptime, capacity, and energy efficiency.
2️⃣ Where the show is happening + attendee geographic origin
Location: DTECH is typically held in the United States and is known as a national-level infrastructure event with strong international relevance. For 2026, the event should be treated as a North American industry gathering with global buyer interest, especially from vendors and infrastructure companies serving the U.S. market.
Attendee geographic origin: The audience is usually a mix of local, national, and global participants. Many attendees come from across the United States, especially from major digital infrastructure hubs such as Virginia, Texas, California, Arizona, Oregon, Georgia, Illinois, New York, and Florida. There is also strong participation from international vendors and solution providers looking to sell into U.S. data center and AI infrastructure markets.
Best geographic targeting strategy:
- U.S. nationwide buyers are the primary target
- Strong concentration from major data center and cloud hub states
- International supplier and solution-provider presence is meaningful
- Regional telecom, energy, and engineering firms may also attend
3️⃣ Audience reach: Local / National / Global
Reach type: National with global commercial relevance
This event should be classified as a national U.S. event with a global buyer ecosystem. While the core attendance is usually U.S.-based, the subject matter has global importance because AI infrastructure, data center growth, power constraints, and cooling innovation are worldwide issues. Vendors, investors, consultants, and operators outside the U.S. often watch or participate because the market direction in the U.S. influences global infrastructure strategy.
In practical list-sourcing terms, this means the event is valuable for both domestic and international client campaigns, especially for companies selling into enterprise infrastructure, cloud, hyperscale, colocation, and AI operations.
4️⃣ Sample buyer company names + websites
Below are sample buyer company accounts that are strong fits for attendee-list targeting. These are not random companies; they are strategic organizations likely to send executives, engineers, procurement teams, or technical buyers to a data center and AI infrastructure event. The target titles below are the best people to reach for commercial engagement.
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Equinix | equinix.com | Director, Data Center Operations / VP, Infrastructure | Major colocation operator; strong fit for power, cooling, connectivity, and facility solutions. |
| 2 | Digital Realty | digitalrealty.com | Senior Director, Engineering / Procurement Lead | Global data center real estate and operator; strong buyer for infrastructure, buildout, and retrofit solutions. |
| 3 | Google Cloud | cloud.google.com | Infrastructure Strategy Manager / Data Center Engineering Manager | Large cloud and AI infrastructure investment; excellent fit for power, networking, and efficiency vendors. |
| 4 | Microsoft Azure | microsoft.com | Data Center Program Manager / Energy & Sustainability Lead | Heavy AI and cloud expansion; strong demand for cooling, power, and site development solutions. |
| 5 | Amazon Web Services | aws.amazon.com | Technical Program Manager, Infrastructure / Data Center Operations Manager | One of the largest infrastructure buyers in the market; strong fit for scale, automation, and facility systems. |
| 6 | Meta | about.meta.com | Infrastructure Planning Manager / Mechanical Engineering Manager | High-density compute and AI use cases create demand for next-gen power and cooling. |
| 7 | Oracle Cloud | oracle.com | Cloud Infrastructure Director / Procurement Manager | Enterprise cloud and AI infrastructure provider with strong buyer potential for hardware and support services. |
| 8 | Schneider Electric | se.com | Data Center Solutions Manager / Channel Sales Director | Infrastructure provider and buyer ecosystem player; strong for electrical, power, and efficiency products. |
| 9 | Vertiv | vertiv.com | Product Marketing Manager / Sales Director, Thermal Management | Direct fit for power and cooling innovation in data centers and AI deployments. |
| 10 | ABB | abb.com | Business Development Manager, Data Centers / Grid Solutions Lead | Strong fit for electrical systems, automation, and power distribution around data center facilities. |
| 11 | Siemens | siemens.com | Smart Infrastructure Manager / Data Center Account Executive | Relevant for electrical systems, building automation, and industrial digital infrastructure. |
| 12 | CyrusOne | cyrusone.com | Director, Engineering / Site Development Manager | Data center operator with direct need for facility buildout, capacity, and energy solutions. |
| 13 | CoreSite | coresite.com | VP, Operations / Director, Carrier Relations | Interconnection-heavy operator; strong fit for networking, security, and infrastructure vendors. |
| 14 | Iron Mountain Data Centers | ironmountain.com | Director, Data Center Sales / Operations Manager | Strong colocation and enterprise infrastructure buyer with interest in efficiency and reliability. |
| 15 | NVIDIA | nvidia.com | AI Infrastructure Partnerships Manager / Data Center Solutions Lead | AI compute growth makes this a key ecosystem player for servers, networking, and cooling partners. |
| 16 | HPE | hpe.com | Data Center Sales Director / Solution Architect, AI Infrastructure | Enterprise server, storage, and infrastructure buyer/seller with strong event relevance. |
| 17 | AMD | amd.com | Product Marketing Manager, Data Center / Channel Manager | AI and compute growth creates demand for partnerships and ecosystem engagement. |
| 18 | Cisco | cisco.com | Data Center Networking Manager / Sales Director | Networking remains core to digital infrastructure; excellent fit for enterprise and cloud buyers. |
| 19 | Johnson Controls | johnsoncontrols.com | Data Center Solutions Manager / Account Executive | Strong fit for building systems, HVAC, controls, and facility intelligence. |
| 20 | Trane Technologies | tranetechnologies.com | Strategic Accounts Manager, Data Centers / Thermal Systems Lead | Direct relevance to cooling and thermal management, especially with AI load growth. |
Top 5 sample companies to send first: Equinix, Digital Realty, AWS, Microsoft Azure, and Vertiv. These accounts represent a strong mix of operators, hyperscalers, and infrastructure solution providers, which is ideal for a commercially useful list.
5️⃣ Job profiles, industries & event type
This event works best when targeting senior technical, operational, and commercial roles. The audience is deeply segmented, so the value of the attendee list increases when records are filtered by buying intent and function.
Best job profiles to target:
- VP, Data Center Operations
- Director, Infrastructure
- Director, Data Center Engineering
- Manager, Facilities Engineering
- Chief Information Officer
- VP, Cloud Infrastructure
- Director, Network Engineering
- Senior Manager, AI Infrastructure
- Director, Energy Management
- Facilities Manager
- Commissioning Manager
- Procurement Manager, IT Infrastructure
- Strategic Sourcing Manager
- Director, Security Operations
- Head of Colocation Services
- Solutions Architect, Data Center
- Director, Product Management, Infrastructure
- Business Development Manager, Data Center Solutions
Best industry filters from the provided industry list:
- Information Technology & Services
- Computer Software
- Computer Hardware
- Computer Networking
- Computer & Network Security
- Telecommunications
- Wireless
- Internet
- Information Services
- Electrical/Electronic Manufacturing
- Industrial Automation
- Mechanical or Industrial Engineering
- Construction
- Facilities Services
- Renewables & Environment
- Utilities
- Semiconductors
- Staffing & Recruiting
- Management Consulting
- Real Estate
Event type interpretation: This is a high-value B2B infrastructure event. It is best categorized as a technology and facilities event with strong commercial intent, especially for AI-ready infrastructure, digital transformation, and enterprise-scale buildouts.
6️⃣ Estimated attendance: expected total footfall
The estimated attendance for DTECH Data Centers & AI events is typically in the medium-to-large industry-conference range. Based on the subject matter, exhibitor profile, and market importance, an expected footfall of roughly 2,000 to 5,000+ attendees is a practical working estimate, depending on year, location, and co-located programming.
Because this is a high-value niche event, the raw footfall number is less important than attendee quality. A smaller, highly qualified audience in this sector can be more valuable than a much larger generic show. The real buying power sits in the leadership, operations, engineering, procurement, and solution-provider layers.
7️⃣ Key focus areas & buyer engagement
Core themes likely to dominate the event:
- AI infrastructure scaling
- High-density compute requirements
- Power management and grid constraints
- Cooling innovation, including liquid cooling
- Electrical resilience and backup systems
- Data center design, build, and commissioning
- Network capacity and interconnection
- Physical and cyber security
- Energy efficiency and sustainability
- Edge and distributed infrastructure
- Cloud expansion and capacity planning
- Automation, monitoring, and operational intelligence
Best engagement strategy: buyers at this event are best approached through technical relevance and business impact. The most effective pitch is usually not broad marketing language, but a direct connection to uptime, efficiency, cost reduction, capacity planning, sustainability, or risk mitigation.
If your client sells products or services to this audience, the attendee list should be positioned around specific buyer needs such as: power, thermal management, electrical systems, monitoring software, asset visibility, sustainability tools, security systems, AI workload support, or managed infrastructure services.
8️⃣ Client-product fit note
Before finalizing the buyer list, I need your client’s website or product brief. That is important because the best buyer targets for this event change significantly based on what your client sells. The same attendee list may be useful for one type of vendor and weak for another.
Here is how the targeting changes by product type:
- If the client sells cooling or HVAC solutions: target data center operations, mechanical engineering, thermal management, and facilities leadership.
- If the client sells power or electrical equipment: target electrical engineering, energy management, procurement, and infrastructure planning teams.
- If the client sells networking or security solutions: target network architects, security operations, infrastructure managers, and cloud teams.
- If the client sells software or monitoring tools: target operations leaders, IT infrastructure managers, and digital transformation teams.
- If the client sells construction or consulting services: target site selection, design, build, commissioning, and project management decision-makers.
- If the client sells cloud, AI, or server solutions: target infrastructure strategy, AI platform teams, and technical procurement leaders.
Once you share the client website, I can narrow this down into a sharper buyer list with the best-fit companies, best-fit titles, and the strongest industries to prioritize. That will make the list much more valuable and much easier to sell.
9️⃣ Final recommendation
DTECH Data Centers & AI 2026 is a strong event for attendee-list research because it attracts a focused, high-value, technically qualified audience. It is especially attractive for vendors serving data centers, AI infrastructure, cloud, enterprise IT, power, cooling, security, networking, and facility operations.
Best buyer segments to collect:
- Data center operators and colocation providers
- Hyperscale and cloud infrastructure teams
- Facilities and engineering leaders
- Procurement and sourcing professionals
- Network and security decision-makers
- AI infrastructure and platform teams
- Construction, design, and commissioning specialists
- Energy, sustainability, and power management teams
Quality rating for B2B attendee-list sales: 9/10
This event is highly relevant for infrastructure-focused selling. It is not a mass-market event, and that is exactly why it can perform well for the right client. If your client sells into the digital infrastructure stack, this is the type of show that can produce strong buyer quality, strong intent, and strong conversion potential.
Next step: Please share your client website, and I will review it and identify the best buyers, best titles, and best industry filters for this event.
Data sheet
| Event Name | DTECH Data Centers & AI 2026 |
| Event Date | May 12–14, 2026 |
| Event Status | Completed |
| Venue | DoubleTree Resort by Hilton Hotel Paradise Valley |
| City | Scottsdale |
| State / Region | Arizona |
| Country | United States |
| Organizer | Organizer not publicly confirmed in the supplied materials. |
| Official Event Website | Official event website not provided in the request and not independently verified here. |
| Event Type | B2B conference / infrastructure summit focused on data centers, AI infrastructure, cloud, networking, power, cooling, security, edge, and enterprise digital infrastructure. |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Power & Energy; Security & Defense; Industrial Engineering |
| Audience Reach | Likely National with selective international participation from infrastructure vendors, operators, and technology partners. |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for numerical attendance because no verified official attendance statistics were supplied; high for topic alignment and buyer relevance based on event theme. |
| Main Purpose of Event | To connect data center, AI, cloud, networking, facilities, power, cooling, and security stakeholders around digital infrastructure investment, modernization, operations, partnerships, and sourcing. |
DTECH Data Centers & AI 2026 appears positioned as a specialized business event for organizations involved in building, operating, securing, and scaling modern digital infrastructure. Based on the event scope provided, the program is centered on high-value enterprise and infrastructure themes including data center capacity, AI readiness, cloud architecture, networking, power density, cooling, edge deployment, and operational resilience.
From a commercial perspective, this is a strong-fit event for lead generation because the likely audience includes capital-intensive buyers and technical influencers rather than casual visitors. The event matters most to operators, enterprise IT teams, facilities and engineering leaders, colocation and cloud partners, and solution providers seeking access to infrastructure modernization budgets, strategic sourcing conversations, and long-cycle technology purchasing decisions.
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Data center owners and operators | Colocation companies, wholesale data center operators, enterprise-owned facilities | Own infrastructure budgets; influence site, power, cooling, security, and operations spend | Core buyers for critical infrastructure, MEP systems, DCIM, monitoring, security, and services |
| AI infrastructure and platform teams | Enterprises deploying AI workloads, cloud and GPU platform teams, advanced compute environments | Evaluate compute density, networking, storage, cooling, resilience, and AI stack readiness | High-value targets for hardware, networking, AI hosting, observability, and capacity planning vendors |
| Enterprise IT and infrastructure leaders | Large enterprises, financial services, healthcare, telecom, manufacturing, software-driven companies | Set architecture direction; approve or influence modernization and migration initiatives | Relevant for hybrid cloud, security, networking, backup, automation, and infrastructure management suppliers |
| Cloud, colocation, and managed service buyers | Cloud service providers, MSPs, hosting companies, colocation resellers | Buy capacity, partner solutions, and infrastructure services | Important channel and partner route-to-market segment |
| Facilities, engineering, and operations teams | Mission-critical facility operators, MEP engineering teams, operations management groups | Specify power, cooling, rack density, uptime, maintenance, and retrofit requirements | Strong buyers for UPS, generators, cooling, controls, monitoring, maintenance, and efficiency solutions |
| Procurement and strategic sourcing teams | Enterprise procurement, infrastructure sourcing, vendor management teams | Manage vendor selection, RFPs, contract terms, and supplier qualification | Important for converting technical interest into formal purchasing pathways |
| Cybersecurity and physical security leaders | Enterprise security offices, SOC teams, facility security teams, compliance leaders | Influence protection of facilities, networks, workloads, and data | Strong targets for cyber, identity, monitoring, access control, surveillance, and compliance vendors |
| Network and connectivity leaders | Carrier-neutral facilities, telecom, backbone providers, enterprise networking teams | Drive switching, interconnect, edge, bandwidth, and latency decisions | Relevant for fiber, switching, SDN, edge, and traffic optimization suppliers |
| Developers, investors, and infrastructure strategy teams | Data center developers, private equity-backed platforms, infrastructure funds | Assess buildouts, expansion, capital projects, and strategic partnerships | High potential for site development, EPC, financing, and long-cycle solution sales |
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Host city: Scottsdale | Local venue-based attendance from Arizona business and technology communities | Medium | Convenient for executive meetings and regional participation, but not itself a major hyperscale hub on the level of Northern Virginia. |
| Host state: Arizona | Regional participation from Phoenix metro, Scottsdale, Tempe, Mesa, Chandler | High | Arizona has relevance for digital infrastructure growth, enterprise IT, semiconductor-adjacent activity, and Southwest connectivity. |
| Nearby business hubs | Phoenix metro and broader Southwest U.S. | High | Likely draw for regional operators, IT leaders, engineering firms, and infrastructure vendors. |
| National reach | Likely attendees from major U.S. data center and cloud corridors such as Texas, California, Virginia, Illinois, Georgia, and the Pacific Northwest | Very High | Topic specialization supports travel by senior buyers with specific infrastructure mandates. |
| International reach | Selective participation from multinational infrastructure vendors, cloud partners, and global operators | Medium | International draw is plausible for the subject matter, but not confirmed in the supplied materials. |
| Reach Level | Assessment | Explanation |
|---|---|---|
| National | Primary classification | The event theme serves U.S.-wide infrastructure, AI, cloud, and data center stakeholders. Buyer relevance is strongest at national enterprise and operator level. |
| Regional | Secondary characteristic | Arizona and the Southwest likely contribute a meaningful local/regional share of attendees. |
| Global | Possible but unconfirmed | Multinational vendors and operators may participate, but current-year international attendance is not publicly confirmed here. |
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Digital Realty | Data center operator | Direct buyer of data center, power, cooling, security, and connectivity solutions | digitalrealty.com | VP Data Center Operations, Director Facilities, Procurement Director, Network Director | Strong Market Fit, Attendance Not Confirmed |
| Equinix | Colocation and interconnection provider | Core buyer for mission-critical infrastructure and edge/networking ecosystems | equinix.com | Director Global Operations, VP Procurement, Head of Data Center Engineering | Strong Market Fit, Attendance Not Confirmed |
| CyrusOne | Data center developer/operator | Relevant for AI-ready facilities, power density, and enterprise colocation projects | cyrusone.com | SVP Operations, Director Design & Construction, Strategic Sourcing Manager | Strong Market Fit, Attendance Not Confirmed |
| QTS Data Centers | Data center operator | Buys infrastructure, software, security, and operational technology for large-scale facilities | qtsdatacenters.com | VP Infrastructure, Facilities Director, Director Supply Chain, Security Director | Strong Market Fit, Attendance Not Confirmed |
| Switch | Data center and digital infrastructure operator | Strong relevance for power, cooling, sustainability, and capacity optimization solutions | switch.com | Chief Technology Officer, VP Operations, Procurement Manager | Strong Market Fit, Attendance Not Confirmed |
| NTT Global Data Centers | Global data center operator | Buyer of facility, cloud-adjacent, network, and security infrastructure | services.global.ntt | Director Data Center Operations, Head of Procurement, Engineering Director | Strong Market Fit, Attendance Not Confirmed |
| Iron Mountain Data Centers | Data center operator | Relevant for secure infrastructure, compliance, resiliency, and enterprise hosting | ironmountain.com | Data Center Director, Security Director, Facilities Manager | Strong Market Fit, Attendance Not Confirmed |
| Aligned Data Centers | Data center provider | Strong fit for AI-density, liquid cooling, and high-performance facility conversations | aligneddc.com | VP Design & Construction, Infrastructure Director, Procurement Lead | Strong Market Fit, Attendance Not Confirmed |
| CoreSite | Data center and interconnection provider | Relevant for networking, edge, connectivity, and enterprise deployment requirements | coresite.com | Director Interconnection, Data Center Operations Manager, Sourcing Manager | Strong Market Fit, Attendance Not Confirmed |
| Vantage Data Centers | Hyperscale data center provider | Major buyer category for power, cooling, automation, and security solutions | vantagedc.com | SVP Operations, VP Supply Chain, Engineering Director | Strong Market Fit, Attendance Not Confirmed |
| Microsoft | Cloud and AI infrastructure buyer | Relevant to AI, cloud, data center, networking, and security ecosystem selling | microsoft.com | Director Data Center Operations, Principal Program Manager, Cloud Infrastructure Procurement | Strong Market Fit, Attendance Not Confirmed |
| Amazon Web Services | Cloud and infrastructure buyer | Major buyer class for digital infrastructure, supply chain, and operational technologies | aws.amazon.com | Data Center Engineering Manager, Sourcing Manager, Network Development Manager | Strong Market Fit, Attendance Not Confirmed |
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Chief Technology Officer / Chief Information Officer | Technology / IT | C-Level | Own strategic direction for AI readiness, infrastructure transformation, and platform investment. |
| 2 | VP / Director of Data Center Operations | Operations | VP / Director | Directly responsible for uptime, capacity, reliability, and operational efficiency. |
| 3 | Director of Infrastructure / Infrastructure Engineering | Engineering / IT | Director | Influences architecture, deployment models, and vendor selection. |
| 4 | Procurement Director / Strategic Sourcing Manager | Procurement / Supply Chain | Director / Manager | Controls supplier evaluation, pricing, contracts, and sourcing events. |
| 5 | Facilities Director / Critical Facilities Manager | Facilities / Engineering | Director / Manager | Key buyer for power, cooling, controls, monitoring, and maintenance services. |
| 6 | Network Director / VP Network Infrastructure | Network / Telecom | Director / VP | Important for connectivity, edge, backbone, and latency-sensitive deployments. |
| 7 | Security Director / CISO | Security | Director / C-Level | Influences cybersecurity, compliance, physical access, and resilience purchases. |
| 8 | Program Manager / Data Center Construction Lead | Program Management / Construction | Manager / Director | Relevant for expansion projects, retrofits, and vendor implementation work. |
| 9 | VP Partnerships / Business Development Director | Partnerships / Business Development | Director / VP | Critical for alliance-led selling across cloud, colocation, AI, and channel ecosystems. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Broadest fit for enterprise infrastructure and managed technology organizations | Enterprise IT modernization and managed infrastructure |
| 2 | Computer Networking | Relevant for interconnection, switching, edge, and backbone buyers | Network infrastructure and connectivity decisions |
| 3 | Computer & Network Security | Cyber and physical resilience are core infrastructure concerns | Security stack, compliance, and facility protection |
| 4 | Computer Hardware | AI and data center deployments rely on compute, storage, and systems vendors | Servers, storage, and platform infrastructure |
| 5 | Telecommunications | Carrier, fiber, and edge ecosystems align closely to data center strategy | Connectivity, edge, and interconnect partnerships |
| 6 | Internet | Digital platforms and cloud-adjacent operators use large-scale infrastructure | Platform scaling and AI workload support |
| 7 | Computer Software | Software companies with infrastructure-heavy operations are relevant buyers | Cloud, platform, AI, and observability infrastructure |
| 8 | Electrical/Electronic Manufacturing | Applies to power systems, controls, cooling equipment, and infrastructure components | Power, cooling, and critical equipment sourcing |
| 9 | Facilities Services | Relevant for critical facilities management and maintenance ecosystems | Operations, service contracts, and maintenance programs |
| 10 | Construction | Supports data center buildouts, retrofits, and mission-critical projects | Expansion, design-build, and facility upgrades |
| 11 | Mechanical or Industrial Engineering | Strong alignment to cooling, mechanical systems, and infrastructure optimization | Engineering design and technical implementation |
| 12 | Utilities | Power availability and grid interaction are material to modern data center growth | Energy sourcing, power planning, and resilience |
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | No official attendance statistic supplied | Do not use a numeric claim in sales material without organizer verification. |
| Exhibitor count | Not publicly confirmed | Unconfirmed | No verified exhibitor directory supplied | Current-year exhibitor evidence should be obtained from official event materials. |
| Buyer count | Not publicly confirmed | Unconfirmed | No verified attendee profile sheet supplied | The event theme suggests strong buyer density, but a numeric figure is not confirmed. |
| Speaker count | Not publicly confirmed | Unconfirmed | No verified agenda or speaker page supplied | Speaker organizations would be valuable for target-account extraction if available. |
| Sponsor count | Not publicly confirmed | Unconfirmed | No sponsor list supplied | Sponsor roster can be useful for partner and ecosystem outreach. |
| Historical attendance | Not available in supplied materials | Historical / prior-year evidence unavailable here | No prior-year official stats supplied | Prior-year comparisons should be added only from official archived pages or brochures. |
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Data center infrastructure | Reliable, scalable, efficient facilities | Facility upgrades, new buildouts, lifecycle optimization | Racks, power systems, controls, monitoring, maintenance, design services |
| AI infrastructure | High-density compute, storage, thermal management | AI readiness assessments and infrastructure modernization | GPU-ready environments, storage platforms, cooling, orchestration tools |
| Cloud and hybrid operations | Efficient integration between owned, hosted, and cloud environments | Hybrid architecture, migration, resilience planning | Cloud services, orchestration, observability, DR, managed services |
| Power and cooling | Support higher density and uptime while managing energy costs | Retrofits, liquid cooling, power resilience, efficiency optimization | UPS, generators, chillers, liquid cooling, energy monitoring |
| Networking and interconnection | Low latency, high bandwidth, secure traffic flow | Edge deployment, peering, backbone optimization | Switching, routing, fiber, SDN, interconnect services |
| Security | Protect facilities, workloads, networks, and compliance posture | Cyber-physical convergence and risk reduction | Identity, surveillance, SIEM, access control, threat detection |
| Sustainability and efficiency | Lower PUE, better energy performance, compliance support | Benchmarking and capex/opex optimization | Energy analytics, efficient cooling, renewable integration, controls |
| Edge computing | Distributed capacity close to users and devices | Regional expansion and low-latency use cases | Micro data center solutions, edge orchestration, compact cooling/power |
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Very High | Subject matter aligns with high-value infrastructure budgets and specialized buyer roles. |
| Decision-maker availability | High | Likely mix of executive, director, engineering, operations, and sourcing leaders. |
| Data collection potential | Medium | Commercially attractive event, but official attendance data was not publicly confirmed in the supplied materials. |
| Apollo targeting potential | Very High | Clear industry, department, and job-title targeting is possible across operators, cloud, enterprise IT, and facilities segments. |
| Geographic targeting potential | High | Can be targeted by Arizona/Southwest plus national U.S. data center corridors. |
| Best outreach approach | High | Use value-led outreach around AI readiness, capacity, uptime, security, efficiency, and deployment speed. |
| Overall lead quality | High | Strong event for B2B attendee list building and account-based prospecting, subject to obtaining official participation data. |
| Best use case | Account-based sales and technical buyer outreach | Best for solution providers selling into data center, AI, cloud, security, power, and facilities ecosystems. |
| Limitations / risks | Medium | Need official attendee, exhibitor, sponsor, or speaker evidence before making attendance claims or selling current-year list coverage. |
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Networking; Computer & Network Security; Computer Hardware; Telecommunications; Internet; Computer Software; Electrical/Electronic Manufacturing; Facilities Services; Construction; Mechanical or Industrial Engineering; Utilities | Covers buyer and partner organizations tied to digital infrastructure decisions. |
| Departments | Information Technology; Engineering; Operations; Procurement; Supply Chain; Facilities; Security; Program Management; Business Development | Narrow to technical, operational, and commercial buying centers. |
| Seniority | C-Level; VP; Head; Director; Manager | Prioritizes budget holders and implementation influencers. |
| Job titles | CTO, CIO, VP Infrastructure, Director Infrastructure, VP Data Center Operations, Director Data Center Operations, Facilities Director, Critical Facilities Manager, Procurement Director, Strategic Sourcing Manager, Network Director, Security Director, CISO, Program Manager, Construction Director, VP Partnerships | Captures strategic and operational buyer roles relevant to event themes. |
| Geography | United States; Arizona; California; Texas; Virginia; Illinois; Georgia; Washington | Balances host-market relevance with major U.S. data center corridors. |
| Employee size | 201–500; 501–1,000; 1,001–5,000; 5,001–10,000; 10,001+ | Prioritizes enterprises and scaled infrastructure organizations with purchasing capacity. |
| Keywords | data center, colocation, cloud infrastructure, AI infrastructure, critical facilities, mission critical, edge computing, interconnection, liquid cooling, high-density compute, uptime, DCIM | Improves thematic precision when event-specific participation data is limited. |
| Technologies | Cloud, cybersecurity, networking, data center operations tools, AI/ML infrastructure tools where available | Useful for identifying mature infrastructure buyers and partner ecosystems. |
| Revenue range | $50M+ preferred; prioritize $250M+ for enterprise and operator accounts | Screens for organizations with infrastructure budgets and multistakeholder buying teams. |
| Company type | Public company, private company, PE-backed infrastructure platform, multinational enterprise | Captures both established operators and fast-scaling digital infrastructure companies. |
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| User-provided event details | Provided event brief | Event title, venue, city, state/region, country, and event dates | High for supplied facts; limited for organizer, attendance, and participant verification |
| Hilton / DoubleTree brand site | Venue brand reference | Supports venue brand identification only; event-specific hosting page not verified here | Medium |
| Official event website / agenda / exhibitor directory | Primary source needed | Organizer, sponsor list, speaker list, exhibitor count, and attendance statistics were not supplied and were not verified in this report | Not available in supplied materials |
| Company websites listed in Section 4 | Corporate websites | Organization existence and market relevance to data center and AI infrastructure buying | High for company verification; not evidence of current-year event attendance |
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