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세계의 스마트 빌딩 및 인프라용 AI 시장 보고서(2025년)
AI In Smart Buildings And Infrastructure Global Market Report 2025
상품코드 : 1730777
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

스마트 빌딩 및 인프라용 AI 시장 규모는 향후 수년간 비약적인 성장이 예상됩니다. 예측 기간의 성장은 스마트 인프라에 대한 요구가 높아지고, 정부의 이니셔티브, 신흥 시장에서의 디지털 전환의 동향, 에너지 효율적인 빌딩에 대한 수요 증가에 기인하는 것으로 추정됩니다.

에너지 효율적인 지속 가능한 건물 솔루션에 대한 수요가 증가함에 따라 스마트 빌딩 및 인프라용 AI의 성장을 가속할 것으로 예측됩니다. 지속가능성을 높이는 시스템을 설계하고 구현하는 것을 목표로 하고 있습니다. 스마트 빌딩 및 인프라용 AI는 에어컨 제어, 조명, 예지 보전을 자동화함으로써 스마트 빌딩에서 에너지 소비 최적화에 기여하고 효율성과 지속가능성 향상을 이끌어 냅니다. 예를 들어, 2024년 3월 영국의 에너지 보안 및 넷 제로 부서는 2023년에 정부 지원 프로그램을 통해 영국 내 건물에 설치된 에너지 효율 측정이 2022년에 비해 49% 증가한 318,600건에 달한다고 보고했습니다. 그 결과, 에너지 효율이 높은 지속 가능한 빌딩 솔루션에 대한 요구 증가가 스마트 빌딩 및 인프라용 AI의 성장을 가속하고 있습니다.

스마트 빌딩 및 인프라용 AI 시장 기업은 에너지 효율, 운영 효율성, 지속가능성을 향상시키기 위해 AI 주도형 분석 및 제어 시스템 등의 진보에 주력하고 있습니다. 의사결정을 개선하고 건물의 성능을 향상시키는 귀중한 인사이트를 기재하고 있습니다. 예를 들어, 2022년 6월, 지멘스 AG는 에너지 사용을 최적화하고 건물 운영을 자동화하며 넷제로 빌딩의 입주자 경험을 향상하도록 설계된 AI 기반 플랫폼인 Building X를 출시했습니다. 이 플랫폼은 다양한 빌딩 시스템을 중앙 허브에 통합해, AI 주도의 분석에 의해 효율성과 지속가능성을 높이고 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 거시경제 시나리오 금리, 인플레이션, 지정학, 신형 코로나 바이러스 감염의 영향과 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 전략

제36장 부록

KTH
영문 목차

영문목차

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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