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AI In Smart Buildings And Infrastructure Market Value Growth And Long-Term Outlook
The market size for AI in smart buildings and infrastructure has witnessed significant exponential growth over recent years. It is anticipated to increase from $35.78 billion in 2025 to $43.48 billion in 2026, achieving a compound annual growth rate (CAGR) of 21.5%. The expansion during prior periods can be attributed to several factors: the increasing prevalence of building management systems, stricter energy efficiency regulations, the widespread adoption of IoT sensors, ongoing urban infrastructure modernization, and the persistent demand for reduced operational costs.
The AI in smart buildings and infrastructure market is projected to experience substantial expansion in the coming years. Its valuation is forecast to reach $93.48 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 21.1%. This growth during the forecast period can be attributed to factors such as the proliferation of smart city initiatives, stricter sustainability mandates, ongoing advancements in edge AI devices, the growing need for automated facility management, and the seamless integration of AI with digital twins. Key trends anticipated for this period encompass AI-driven automation in buildings, predictive maintenance solutions for infrastructure, AI-powered energy optimization, sophisticated security and surveillance systems, and occupant-focused smart building designs.
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AI In Smart Buildings And Infrastructure Market Growth Catalysts And Demand Drivers
The anticipated expansion of the AI in smart buildings and infrastructure market is fueled by the growing need for energy-efficient and sustainable building solutions. These solutions encompass the design and deployment of systems aimed at minimizing energy use, lessening environmental footprints, and fostering enduring sustainability within structures. Heightened environmental concerns and climate change are contributing to the escalating requirement for such building solutions. They are instrumental in decreasing carbon emissions, cutting energy expenses, and adhering to more stringent governmental sustainability mandates. Artificial intelligence enhances energy usage in intelligent buildings through the automation of climate management, illumination, and proactive maintenance, thereby improving efficiency and sustainability. As an illustration, in March 2024, the Department for Energy Security and Net Zero, a UK government agency, reported that 318,600 energy efficiency measures were implemented in 2023 in Great Britain’s properties via various government initiatives, representing a 49% rise from 2022. Consequently, the rising need for energy-efficient and sustainable building solutions is stimulating the expansion of the AI in smart buildings and infrastructure market.
AI In Smart Buildings And Infrastructure Market Segment Breakdown: Which Categories Lead On Revenue?
The AI in smart buildings and infrastructure market covered in this report is segmented –
1) By Type: Software, Hardware, Services
2) By Technology: Machine Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Other Technologies
3) By Application: Building Automation, Energy Management, Security And Surveillance, Predictive Maintenance, Smart Parking, Other Applications
4) By End-User Industry: Commercial Buildings, Residential Buildings, Industrial Buildings, Government Buildings, Healthcare Facilities, Educational Institutions, Retail Spaces, Other End User Industries
Subsegments:
1) By Software: AI-Powered Building Management Systems (BMS), Energy Management Software, Predictive Maintenance Solutions, Security And Surveillance Analytics, Space Optimization And Utilization Software, HVAC Optimization Software, Smart Lighting Control Software
2) By Hardware: Sensors, Edge AI Devices, IoT Gateways, AI-Powered Cameras And Surveillance Equipment, Smart Meters And Smart Grids, Robotics For Facility Management
3) By Services: AI Consulting And Implementation Services, System Integration Services, Managed AI Services, Predictive Maintenance Services, AI Training And Support Services, Cloud-Based AI Services For Smart Buildings
AI In Smart Buildings And Infrastructure Market Trends Shaping Long-Term Demand
Leading companies in the AI in smart buildings and infrastructure market are prioritizing the development of technological innovations like intelligent autonomous building control platforms to enhance energy efficiency, improve occupant well-being, and boost operational effectiveness. Intelligent autonomous building control platforms refer to sophisticated, self-governing systems that utilize AI and sensor data to automatically manage and optimize building functions across energy, environmental, and security aspects. For example, in June 2025, Honeywell International Inc., a US-based global technology and industrial firm, unveiled an AI-powered building management solution engineered to simplify facility operations, minimize energy use, and strengthen predictive maintenance. This solution integrates AI-driven analytics with connected sensors to provide immediate insights, automate system adjustments, and identify potential inefficiencies before they become significant issues. By enabling more informed decisions and reducing operational expenditures, Honeywell’s AI-enabled platform supports the move towards more sustainable, resilient, and high-performance smart buildings and infrastructure.
AI In Smart Buildings And Infrastructure Market Leading Players And Competitive Positioning
Major companies operating in the AI in smart buildings and infrastructure market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., Robert Bosch GmbH, Hitachi Ltd., Siemens AG, Intel Corporation, Panasonic Corporation, International Business Machines Corporation (IBM), Cisco Systems Inc., Oracle Corporation, Schneider Electric SE, Honeywell International Inc., ABB Ltd, NEC Corporation, Johnson Controls International plc, Samsung SDS, Autodesk Inc., Terminus Group, GridPoint Inc., Verdigris Technologies, BuildingIQ Inc., Built Robotics
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AI In Smart Buildings And Infrastructure Market Geographic Analysis: Where Is Demand Rising Fastest?
North America was the largest region in the AI in smart buildings and infrastructure market in 2025. The regions covered in the AI in smart buildings and infrastructure market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
