SOURCE RESEARCH
Accelerating AI Adoption in Buildings: Enabling the Shift Toward Proactive Building Management
Presentation | 4Q 2025 | PT-3860
Get The ReportAccording to ABI Research, commercial building owners are the top investors in AI-driven energy-efficency solutions, with more than 1 million buildings adopting the technology as of 2025. Industrial buildings are another key growth driver. Combined, these two building types will increase its adoption of AI energy-efficiency solutions from 1.7 million to about 4.4 million by 2030.
Key trends:
- Increased energy efficiency is one of the strongest use cases for AI across all building verticals, indicating that building managers are likely to adopt further AI-driven solutions once improvements are proven.
- AI-based energy efficiency solutions analyze data from building systems and sensors using advanced analytics or Machine Learning (ML) to generate insights or automate actions that reduce energy consumption and improve system performance.
- Adoption is supported by the increasing deployment of Internet of Things (IoT) devices to collect real-time data, but adoption of energy-efficient AI solutions hinges on Building Management Systems (BMS), as they enable centralized control and system integration to translate insights into action.
- Tightening green building regulations, rising energy costs, and optimized system integration drive adoption.
Driven by integrated digital infrastructure, modern BMS, and higher-quality data, new buildings are the fastest adopters of AI-based energy-efficient solutions.
- Commercial and industrial buildings will be the highest adopters of AI energy-efficiency solutions as they have more mature digital infrastructure for quick adoption and pressure to cut costs and streamline operations.
