The Business Research Company’s report on the AI In Smart Buildings And Infrastructure Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
What are the key drivers behind the ai in smart buildings and infrastructure market’s growth in recent years?
The increasing demand for energy-efficient and sustainable building solutions is expected to propel the growth of AI in smart buildings and infrastructure market going forward. Energy-efficient and sustainable building solutions involve designing and implementing systems that minimize energy consumption, reduce environmental impact, and promote long-term sustainability in buildings. The demand for energy-efficient and sustainable building solutions is increasing due to rising environmental concerns and climate change. These solutions help reduce carbon footprints, lower energy costs, and comply with stricter government regulations on sustainability. AI optimizes energy consumption in smart buildings by automating climate control, lighting, and predictive maintenance for enhanced efficiency and sustainability. For instance, in March 2024, according to the Department for Energy Security and Net Zero, a UK-based government agency, 318,600 energy efficiency measures were installed in 2023 in properties across Great Britain through various government support schemes, marking a 49% increase compared to 2022. Therefore, the increasing demand for energy-efficient and sustainable building solutions is driving the growth of AI in smart buildings and infrastructure market.
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How does the future projection of the ai in smart buildings and infrastructure market size compare to its historical growth?
The AI in smart buildings and infrastructure market size has grown exponentially in recent years. It will grow from $29.52 billion in 2024 to $35.92 billion in 2025 at a compound annual growth rate (CAGR) of 21.7%. The growth in the historic period can be attributed to growing need for better utilization of buildings, increasing demand for public safety and security, rising adoption of smart building solutions due to the covid-19 pandemic, demand for higher indoor air quality (iaq) for health and well-being, and increasing use of IoT and automation in building management.
The AI in smart buildings and infrastructure market size is expected to see exponential growth in the next few years. It will grow to $78.15 billion in 2029 at a compound annual growth rate (CAGR) of 21.4%. The growth in the forecast period can be attributed to demand for improved asset reliability, performance, and space utilization, growth in ai and iot applications in smart buildings, rising need for smart infrastructure in commercial and residential buildings, government initiatives and digital transformation trends in emerging markets, and growing need for energy efficient buildings. Major trends in the forecast period include technological advancements, integration of machine learning, natural language processing, computer vision, and AI predictive maintenance.
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Which key players are shaping the future of the ai in smart buildings and infrastructure market?
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.
What trends will propel the growth and evolution of the ai in smart buildings and infrastructure market?
Major companies operating in the AI in smart buildings and infrastructure market are focusing on technological advancements, such as AI-driven analytics and control to optimize energy efficiency, enhance operational effectiveness, and promote sustainability through data-driven decision-making. AI-driven analytics refers to the use of artificial intelligence to analyze data, identify patterns, and provide insights that help optimize operations, improve decision-making, and enhance performance. For instance, in June 2022, Siemens AG, a Germany-based technology company, launched Building X, an AI-enabled platform designed to optimize energy use, automate operations, and improve occupant experience for net-zero buildings. The platform integrates various building systems into a central hub, leveraging AI-driven analytics to enhance efficiency and sustainability. Its open architecture fosters third-party integration, promoting a broader ecosystem of smart building solutions within Siemens Xcelerator, aimed at accelerating digital transformation in buildings.
Which regions are expected to become dominant players in the ai in smart buildings and infrastructure market?
North America was the largest region in the AI in smart buildings and infrastructure market in 2024. The regions covered in the AI in smart buildings and infrastructure market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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What are the emerging key segments in the ai in smart buildings and infrastructure market, and how are they evolving?
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
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How is the ai in smart buildings and infrastructure market defined?
The artificial intelligence (AI) in smart buildings and infrastructure refers to the integration of AI technologies into the design, operation, and management of buildings and urban infrastructure. This enables automation, efficiency, sustainability, and enhanced user experience through data-driven decision-making.
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