The smart building market is projected to exceed $130 billion by 2030 at a 12% CAGR. HVAC and building automation OEMs are under pressure to add IoT sensors, energy analytics, and predictive maintenance — but most lack the embedded engineering depth to ship connected products.
The global smart building market is projected to grow from $80 billion in 2024 to over $130 billion by 2030 at a 12% CAGR. The energy management segment — driven by EU Energy Performance of Buildings Directive (EPBD) requirements and corporate ESG mandates — accounts for the largest share. Yet mid-size HVAC manufacturers and building automation OEMs that have built their businesses on mechanical and electromechanical products are struggling to add the digital capabilities that facility managers now demand.
The competitive threat comes from two directions. Software-first building analytics companies are offering cloud platforms that bypass traditional BMS controllers entirely — using their own sensors and gateways to collect data independently. Meanwhile, large HVAC conglomerates are acquiring IoT startups and shipping integrated sensor-to-cloud solutions. Mid-size OEMs that sell chillers, air handling units, VAV controllers, and actuators risk becoming commodity hardware suppliers if they cannot offer intelligent, connected products.
The engineering gap is specific: edge sensors designed for harsh HVAC environments (temperature extremes, vibration, humidity), industrial communication protocols (BACnet/IP, BACnet MS/TP, KNX, Modbus), edge computing for real-time energy optimization algorithms, and cloud dashboards for facility-level analytics. This requires embedded hardware engineering, protocol expertise, and cloud platform development — three disciplines that most HVAC companies do not maintain in-house.
Model T scans the building automation and HVAC landscape for companies whose product lines are ripe for IoT augmentation. We detect signals like: competitor launches of connected product variants, EU EPBD compliance deadlines affecting their customer base, facility management RFPs requiring energy analytics capability, and job postings for IoT or embedded engineers at companies with no prior connected products.
Each prospect is mapped against Promwad's smart building competencies: ruggedized sensor design for HVAC environments, BACnet/KNX/Modbus protocol implementation, edge computing for energy optimization, cloud analytics platforms with multi-building fleet management, and retrofit architectures that integrate with existing BMS infrastructure without requiring full system replacement.
A European manufacturer of HVAC controllers, actuators, and valve assemblies with an installed base across 5,000+ commercial buildings had no IoT connectivity, no energy analytics, and no cloud platform — while competitors were shipping sensor-to-dashboard solutions and winning new facility management contracts. Model T identified this company through analysis of their product portfolio (no connected products despite 25+ years in building automation), their customers' EU EPBD compliance timelines, and competitor launches of cloud-connected HVAC controllers. Promwad proposed a facility intelligence concept: edge sensor nodes (temperature, humidity, CO2, occupancy, vibration) communicating via BACnet/IP to an edge gateway running energy optimization algorithms, feeding a multi-building cloud analytics dashboard. The concept addressed both retrofit (add-on sensor kits for existing installations) and new-build (integrated sensor-controller packages) deployment models — delivered as a complete architecture in a 2-3 week concept sprint.
Client identity changed. Methodology and outcomes are real.
Yes. Promwad designs multi-protocol gateway architectures that communicate with BACnet, KNX, Modbus, and proprietary BMS systems simultaneously. The edge gateway translates between protocols, allowing the cloud analytics layer to aggregate data from heterogeneous building automation environments without requiring BMS replacement.
We track leading indicators: competitor connected product launches, EU EPBD compliance timelines affecting their customers, facility management RFPs requiring energy analytics, job postings for IoT engineers at traditional HVAC companies, and corporate ESG commitments from their major customers that create downstream demand for building energy data.
The concept sprint starts from €15,000 per client, covering approximately 50 hours of deep research and concept engineering across 18 steps and 6 stages, delivered in 2-3 weeks. The 75% positive response rate from our validated roadshow ensures that prospects identified through Model T are genuinely interested in a technical conversation about their product roadmap gaps.