Smart energy management systems emerge as key drivers in decarbonising buildings and industry by 2030

According to a McKinsey report, software , and energy management systems (EMS) in particular , is emerging as a “hidden catalyst” for decarbonising buildings and industrial processes by enabling real‑time monitoring, optimisation and orchestration of energy use across complex portfolios. Commercial EMS (CEMS) centralise energy data to optimise lighting, heating, cooling and equipment operations, support integration of renewables and provide remote asset optimisation, the report says.

The finding reinforces other recent McKinsey analysis on the built environment that stresses the importance of tackling operational emissions from existing buildings and the ability of digital tools to identify cost‑effective decarbonisation pathways. According to that work, measures such as heat‑pump deployment, paired with software‑driven optimisation and machine‑learning or physics‑based modelling, can accelerate emissions reductions while improving financial outcomes for portfolios. Industry modelling in McKinsey’s related research shows advanced analytics can rapidly surface high‑impact interventions and produce financially optimised net‑zero plans for building owners.

Market forecasters concur that demand for EMS will expand sharply, but they diverge on scale. McKinsey estimates the global market for EMS across industrial, commercial and residential applications (excluding grid applications) could reach roughly $116 billion by 2030. Other commercial research houses place the 2030 opportunity in a broader range: MarketResearch.com cites a 2024 market value of $70.3 billion growing to $172.0 billion by 2030 (CAGR 16.1%), Grand View Research forecasts $111.6 billion by 2030 (CAGR 13.2%), and a separate industry projection puts the market at $152.6 billion by 2030 (CAGR 16%). The spread reflects differing market definitions, inclusion of hardware components such as sensors and controllers, and varying geographic or application scopes.

For facilities and industrial operators the implications are clear. EMS offer an immediate lever to reduce operational carbon at lower capital cost than some hardware retrofits, by extracting value from existing plant through scheduling, set‑point optimisation, fault detection and demand‑response capabilities. When paired with electrification measures such as heat pumps, and with portfolio‑level analytics that exploit machine learning and digital twins, EMS can both shrink emissions and unlock flexibility value in power markets.

Procurement and asset‑management teams should note several practical considerations highlighted across the analyses. First, returns depend on data quality and integration: EMS effectiveness rises when building controls, metering and asset management systems are interoperable. Second, vendor selection should weigh both algorithmic capability and field engineering support, since savings often require tuning to specific plant and occupancy patterns. Third, policy and market signals , including building performance standards, demand‑side flexibility tariffs and grid decarbonisation timelines , will influence payback periods and the value stack available to EMS deployments.

For industrial decarbonisation professionals, EMS are thus not merely a monitoring tool but an operational enabler: they reduce energy waste, coordinate electrification and renewable integration, and create a platform for continuous improvement. Industry data and consulting forecasts indicate rapid market growth and multiple commercial pathways to scale, but they also underline that achieving projected gains will require coherent investment in sensors, integration, analytics and the organisational capability to act on insights.

In short, EMS solutions are positioned to play a pivotal, pragmatic role in building and industrial decarbonisation strategies; capturing that potential will demand technical integration, disciplined deployment and alignment with emerging policy and market incentives.