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Outlook on the AI Market in Smart Buildings and Infrastructure: Major Segments, Strategic Developments, and Leading Companies
The integration of artificial intelligence into smart buildings and infrastructure is rapidly transforming how modern facilities operate. As technology advances and sustainability becomes a priority, this market is poised for significant expansion. Let's explore the market's projected growth, key players, emerging trends, and segmentation to understand where this dynamic sector is headed.Forecasted Growth of the AI in Smart Buildings and Infrastructure Market Through 2030
The market for AI in smart buildings and infrastructure is anticipated to experience remarkable growth over the next several years. Projections estimate the market will reach a value of $93.48 billion by 2030, growing at an impressive compound annual growth rate (CAGR) of 21.1%. This surge is largely driven by the expansion of smart city projects, stricter sustainability regulations, progress in edge AI technologies, increased demand for automated facility management, and the integration of AI with digital twin technologies. Key trends shaping the market include AI-powered building automation, predictive maintenance for infrastructure, energy optimization through AI, intelligent security and surveillance systems, and occupant-focused smart building solutions.
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Leading Organizations Shaping the AI in Smart Buildings and Infrastructure Industry
Several influential companies dominate the AI in smart buildings and infrastructure landscape. These include 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., and Built Robotics.
In a notable move in December 2024, Ireland-based industrial machinery manufacturer Trane Technologies Plc acquired Canada-based BrainBox AI. This acquisition aims to enhance Trane's advanced building management and digital capabilities by leveraging BrainBox AI's technology to reduce energy consumption and greenhouse gas emissions in commercial buildings. BrainBox AI specializes in smart building solutions and HVAC energy efficiency, making them a strategic addition to Trane's portfolio.
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Technological Advancements Driving Growth in the AI in Smart Buildings and Infrastructure Market
Market leaders are heavily investing in creating sophisticated autonomous building control platforms designed to optimize energy efficiency, boost occupant comfort, and improve overall operational performance. These intelligent systems use AI and sensor data to automatically manage various building functions, including energy use, environmental controls, and security features.
For example, in June 2025, US multinational Honeywell International Inc. launched an AI-powered building management solution that aims to simplify facility operations, cut energy use, and enhance predictive maintenance capabilities. This platform combines AI-driven analytics with connected sensors to deliver real-time insights, automate system adjustments, and detect inefficiencies early on. By enabling smarter decision-making and lowering operational costs, Honeywell's solution supports the move toward more sustainable, resilient, and efficient smart buildings and infrastructure.
Comprehensive Segmentation of the Global AI in Smart Buildings and Infrastructure Market
This market report segments AI in smart buildings and infrastructure based on several criteria:
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
Further subsegments include:
- 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
- Hardware: Sensors, Edge AI Devices, IoT Gateways, AI-powered Cameras and Surveillance Equipment, Smart Meters and Smart Grids, Robotics for Facility Management
- 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
This detailed segmentation helps clarify the various components and applications contributing to the rapid growth and innovation in the AI-enabled smart buildings and infrastructure sector.
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