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AI In Smart Buildings And Infrastructure Global Market Report 2025
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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.

The primary types of AI in smart buildings and infrastructure are software, hardware, and services. Software for AI in smart buildings and infrastructure involves systems that enhance automation, efficiency, security, and sustainability. These software solutions leverage artificial intelligence (AI) to optimize operations, improve user experiences, and reduce costs. Various technologies involved, such as machine learning, natural language processing, computer vision, robotic process automation, and others, cater to applications including building automation, energy management, security and surveillance, predictive maintenance, smart parking, and more. These serve end-user industries such as commercial buildings, residential buildings, industrial buildings, government buildings, healthcare facilities, educational institutions, retail spaces, and others.

The AI in smart buildings and infrastructure market research report is one of a series of new reports from The Business Research Company that provides AI in smart buildings and infrastructure market statistics, including AI in smart buildings and infrastructure industry global market size, regional shares, competitors with a AI in smart buildings and infrastructure market share, detailed AI in smart buildings and infrastructure market segments, market trends and opportunities, and any further data you may need to thrive in the AI in smart buildings and infrastructure industry. This AI in smart buildings and infrastructure market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

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 during the historic period can be attributed to the increasing need for better building utilization, higher demand for public safety and security, a surge in the adoption of smart building solutions due to the COVID-19 pandemic, a growing focus on improving indoor air quality (IAQ) for health and well-being, and the rising 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 during the forecast period can be attributed to the demand for enhanced asset reliability, performance, and space utilization, the expansion of AI and IoT applications in smart buildings, the increasing need for smart infrastructure in both commercial and residential buildings, government initiatives, digital transformation trends in emerging markets, and the growing demand for energy-efficient buildings. Key trends in the forecast period include technological advancements, the integration of machine learning, natural language processing, computer vision, and AI-driven predictive maintenance.

The increasing demand for energy-efficient and sustainable building solutions is expected to drive the growth of AI in smart buildings and infrastructure. Energy-efficient and sustainable building solutions aim to design and implement systems that reduce energy consumption, minimize environmental impact, and enhance long-term sustainability in buildings. This growing demand is largely due to heightened environmental concerns and the effects of climate change. Such solutions help decrease carbon footprints, lower energy costs, and ensure compliance with stricter government regulations on sustainability. AI contributes to optimizing energy consumption in smart buildings by automating climate control, lighting, and predictive maintenance, leading to improved efficiency and sustainability. For example, in March 2024, the Department for Energy Security and Net Zero in the UK reported that 318,600 energy efficiency measures were installed in 2023 across properties in Great Britain through government support programs, a 49% increase from 2022. As a result, the rising need for energy-efficient and sustainable building solutions is fueling the growth of AI in the smart buildings and infrastructure market.

Companies in the AI in smart buildings and infrastructure market are focusing on advancements such as AI-driven analytics and control systems to improve energy efficiency, operational effectiveness, and sustainability. AI-driven analytics uses artificial intelligence to analyze data, identify patterns, and provide valuable insights that optimize operations, improve decision-making, and enhance building performance. For instance, in June 2022, Siemens AG launched Building X, an AI-powered platform designed to optimize energy usage, automate building operations, and enhance occupant experiences in net-zero buildings. This platform integrates various building systems into a central hub, using AI-driven analytics to boost efficiency and sustainability. Its open architecture allows third-party integration, creating a more expansive ecosystem of smart building solutions within Siemens Xcelerator, aimed at driving digital transformation in buildings.

In December 2024, Trane Technologies Plc, an industrial machinery manufacturing company based in Ireland, acquired BrainBox AI, a Canadian AI technology company specializing in smart building solutions and HVAC energy efficiency. This acquisition enhances Trane Technologies' advanced building management and digital capabilities by leveraging BrainBox AI's AI technology to reduce energy consumption and greenhouse gas emissions in commercial buildings.

Major players 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., and Built Robotics.

North America was the largest region in the AI in smart buildings and infrastructure market in 2024. The regions covered in AI in smart buildings and infrastructure report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the AI in smart buildings and infrastructure market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in smart buildings and infrastructure market consists of revenues earned by entities providing services such as intelligent automation, predictive maintenance, and energy management. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in smart buildings and infrastructure market also includes sales of motion sensors, temperature and humidity sensors, smart meters, and cameras. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI In Smart Buildings And Infrastructure Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in smart buildings and infrastructure market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for ai in smart buildings and infrastructure ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai in smart buildings and infrastructure market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. AI In Smart Buildings And Infrastructure Market Characteristics

3. AI In Smart Buildings And Infrastructure Market Trends And Strategies

4. AI In Smart Buildings And Infrastructure Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global AI In Smart Buildings And Infrastructure Growth Analysis And Strategic Analysis Framework

6. AI In Smart Buildings And Infrastructure Market Segmentation

7. AI In Smart Buildings And Infrastructure Market Regional And Country Analysis

8. Asia-Pacific AI In Smart Buildings And Infrastructure Market

9. China AI In Smart Buildings And Infrastructure Market

10. India AI In Smart Buildings And Infrastructure Market

11. Japan AI In Smart Buildings And Infrastructure Market

12. Australia AI In Smart Buildings And Infrastructure Market

13. Indonesia AI In Smart Buildings And Infrastructure Market

14. South Korea AI In Smart Buildings And Infrastructure Market

15. Western Europe AI In Smart Buildings And Infrastructure Market

16. UK AI In Smart Buildings And Infrastructure Market

17. Germany AI In Smart Buildings And Infrastructure Market

18. France AI In Smart Buildings And Infrastructure Market

19. Italy AI In Smart Buildings And Infrastructure Market

20. Spain AI In Smart Buildings And Infrastructure Market

21. Eastern Europe AI In Smart Buildings And Infrastructure Market

22. Russia AI In Smart Buildings And Infrastructure Market

23. North America AI In Smart Buildings And Infrastructure Market

24. USA AI In Smart Buildings And Infrastructure Market

25. Canada AI In Smart Buildings And Infrastructure Market

26. South America AI In Smart Buildings And Infrastructure Market

27. Brazil AI In Smart Buildings And Infrastructure Market

28. Middle East AI In Smart Buildings And Infrastructure Market

29. Africa AI In Smart Buildings And Infrastructure Market

30. AI In Smart Buildings And Infrastructure Market Competitive Landscape And Company Profiles

31. AI In Smart Buildings And Infrastructure Market Other Major And Innovative Companies

32. Global AI In Smart Buildings And Infrastructure Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Smart Buildings And Infrastructure Market

34. Recent Developments In The AI In Smart Buildings And Infrastructure Market

35. AI In Smart Buildings And Infrastructure Market High Potential Countries, Segments and Strategies

36. Appendix

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