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市场调查报告书
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1978059

2026年智慧建筑与基础设施人工智慧全球市场报告

AI In Smart Buildings And Infrastructure Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，智慧建筑和基础设施领域的人工智慧市场发展迅速。预计该市场规模将从2025年的357.8亿美元成长到2026年的434.8亿美元，年复合成长率达21.5%。过去几年的成长主要归功于楼宇管理系统的普及、日益严格的能源效率法规、物联网感测器的应用、城市基础设施的现代化以及对降低营运成本日益增长的需求。

预计未来几年，智慧建筑和基础设施领域的人工智慧市场将快速成长，到2030年将达到934.8亿美元，复合年增长率（CAGR）为21.1%。预测期内的成长要素包括智慧城市计画的扩展、更严格的永续性法规、边缘人工智慧设备的进步、对自动化设施管理日益增长的需求以及人工智慧与数位双胞胎技术的融合。预测期内的关键趋势包括人工智慧驱动的建筑自动化、基础设施预测性维护、人工智慧驱动的能源优化、智慧安防监控系统以及居住者为中心的智慧建筑系统。

对节能环保永续建筑解决方案日益增长的需求预计将推动人工智慧在智慧建筑和基础设施领域的应用。节能环保永续建筑解决方案旨在设计和实施能够降低能耗、最大限度减少环境影响并提升建筑长期永续性的系统。这种需求的成长主要源自于人们对环境问题和气候变迁影响的日益关注。此类解决方案有助于减少碳足迹、降低能源成本，并确保符合政府更严格的永续性法规。人工智慧透过自动化暖通空调控制、照明和预测性维护，助力智慧建筑优化能耗，进而提高效率和永续性。例如，根据英国能源安全与净零排放部于2024年3月发布的报告，2023年英国透过政府支持的专案在房产中实施了318,600项节能措施，比2022年增加了49%。在此背景下，对节能环保永续建筑解决方案日益增长的需求正在推动人工智慧在智慧建筑和基础设施领域的市场成长。

在智慧建筑和基础设施人工智慧市场中，主要企业正致力于技术创新，例如智慧自主楼宇控制平台，以提高能源效率、提升居住者舒适度并增强整体营运效能。智慧自主楼宇控制平台是一种先进的自主系统，它利用人工智慧功能和感测器数据，自动调节和优化建筑运营，涵盖能源管理、环境状况和安全功能等方面。例如，2025年6月，总部位于美国的跨国科技和工业公司Honeywell国际公司推出了一项由人工智慧驱动的楼宇管理解决方案，旨在简化设施营运、降低能耗并增强预测性维护能力。该解决方案将基于人工智慧的分析与互联感测器结合，提供即时洞察，实现系统自动优化，并及早发现低效环节。Honeywell的人工智慧平台透过促进更明智的决策和最大限度地降低营运成本，协助打造更永续、更高效能的智慧建筑和基础设施。

目录

第一章：执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球人工智慧市场在智慧建筑与基础设施领域的应用：吸引力评分与分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 物联网、智慧基础设施、互联生态系统
    • 人工智慧（AI）和自主人工智慧
    • 永续性、气候技术、循环经济
    • 数位化、云端运算、巨量资料、网路安全
    • 工业4.0和智慧製造
  • 主要趋势
    • 人工智慧驱动的建筑自动化
    • 基础设施的预测性维护
    • 人工智慧驱动的能源优化
    • 智慧安防监控
    • 居住者为中心的智慧建筑系统

第五章 终端用户产业市场分析

  • 商业楼宇运营商
  • 住宅房地产开发商
  • 工业设施所有者
  • 政府基础设施部门
  • 医疗设施营运商

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球智慧建筑与基础设施人工智慧市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球人工智慧市场规模、对比及成长率分析（适用于智慧建筑和基础设施）
  • 全球人工智慧市场在智慧建筑和基础设施领域的表现：规模和成长，2020-2025年
  • 全球人工智慧市场在智慧建筑和基础设施领域的预测：规模和成长，2025-2030年，2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 按类型
  • 软体、硬体和服务
  • 透过技术
  • 机器学习、自然语言处理、电脑视觉、机器人流程自动化及其他技术
  • 透过使用
  • 建筑自动化、能源管理、安防监控、预测性维护、智慧停车及其他应用
  • 按最终用户行业划分
  • 商业建筑、住宅、工业建筑、政府设施、医疗设施、教育机构、零售商店和其他终端用户行业
  • 按类型细分：软体
  • 人工智慧驱动的楼宇管理系统 (BMS)、能源管理软体、预测性维护解决方案、安全性和监控分析、空间优化和利用率提升软体、暖通空调优化软体、智慧照明控制软体
  • 按类型细分：硬体
  • 感测器、边缘人工智慧设备、物联网闸道器、人工智慧摄影机和监控设备、智慧电錶和智慧电网以及用于设施管理的机器人。
  • 按类型细分：服务
  • 人工智慧咨询和实施服务、系统整合服务、人工智慧託管服务、预测性维护服务、人工智慧培训和支援服务、面向智慧建筑的云端人工智慧服务

第十章 市场与产业指标：依国家划分

第十一章 区域与国别分析

  • 全球智慧建筑与基础设施人工智慧市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球智慧建筑与基础设施人工智慧市场：按国家/地区划分，实际数据和预测数据，2020-2025 年、2025-2030 年、2035 年

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 人工智慧在智慧建筑和基础设施领域的市场：竞争格局和市场份额（2024 年）
  • 智慧建筑与基础设施领域的人工智慧市场：公司估值矩阵
  • 智慧建筑与基础设施领域的人工智慧市场：公司概况
    • Google LLC
    • Microsoft Corporation
    • Amazon Web Services Inc.
    • Robert Bosch GmbH
    • Hitachi Ltd.

第38章 其他大型企业和创新企业

  • 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.

第39章 全球市场竞争基准分析与仪錶板

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年智慧建筑与基础设施领域的人工智慧市场：提供新机会的国家
  • 2030年智慧建筑与基础设施领域的人工智慧市场：充满新机会的细分市场
  • 2030年智慧建筑与基础设施领域的人工智慧市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: IT3MASBI01_G26Q1

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.

Tariffs have impacted the AI in smart buildings and infrastructure market by increasing costs for imported sensors, edge AI devices, and smart metering equipment. Commercial and government building projects in North America and Europe are particularly affected due to reliance on global electronics supply chains. Higher costs have slowed deployment of large-scale smart infrastructure projects. Building owners are responding by prioritizing phased implementations and high-impact use cases. Tariffs are also encouraging local production of smart building hardware. This is supporting domestic technology providers and improving long-term supply stability.

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 $35.78 billion in 2025 to $43.48 billion in 2026 at a compound annual growth rate (CAGR) of 21.5%. The growth in the historic period can be attributed to growth of building management systems, rising energy efficiency regulations, adoption of iot sensors, urban infrastructure modernization, demand for operational cost reduction.

The AI in smart buildings and infrastructure market size is expected to see exponential growth in the next few years. It will grow to $93.48 billion in 2030 at a compound annual growth rate (CAGR) of 21.1%. The growth in the forecast period can be attributed to expansion of smart city initiatives, increasing sustainability mandates, advancements in edge AI devices, rising demand for automated facility management, integration of AI with digital twins. Major trends in the forecast period include AI-driven building automation, predictive maintenance for infrastructure, energy optimization using ai, intelligent security and surveillance, occupant-centric smart building systems.

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.

Major companies operating in the AI in smart buildings and infrastructure market are emphasizing technological innovation, such as intelligent autonomous building control platforms, to improve energy efficiency, elevate occupant comfort, and enhance overall operational performance. Intelligent autonomous building control platforms are advanced, self-governing systems that use AI capabilities and sensor-derived data to automatically regulate and optimize building operations across energy management, environmental conditions, and security functions. For example, in June 2025, Honeywell International Inc., a US-based multinational technology and industrial company, introduced an AI-driven building management solution aimed at simplifying facility operations, lowering energy usage, and strengthening predictive maintenance capabilities. The solution combines AI-based analytics with interconnected sensors to deliver real-time insights, enable automated system optimization, and detect inefficiencies at an early stage. By facilitating more informed decision-making and minimizing operational expenses, Honeywell's AI-enabled platform contributes to the development of more sustainable, resilient, and high-performing smart buildings and infrastructure.

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 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

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.

The countries covered in the AI in smart buildings and infrastructure market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, 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 Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses 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

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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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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, including technological disruption, regulatory shifts, and changing consumer preferences? 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered: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
  • Companies Mentioned: 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
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. AI In Smart Buildings And Infrastructure Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global AI In Smart Buildings And Infrastructure Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. AI In Smart Buildings And Infrastructure Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global AI In Smart Buildings And Infrastructure Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.2 Artificial Intelligence & Autonomous Intelligence
    • 4.1.3 Sustainability, Climate Tech & Circular Economy
    • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.5 Industry 4.0 & Intelligent Manufacturing
  • 4.2. Major Trends
    • 4.2.1 AI-Driven Building Automation
    • 4.2.2 Predictive Maintenance For Infrastructure
    • 4.2.3 Energy Optimization Using AI
    • 4.2.4 Intelligent Security And Surveillance
    • 4.2.5 Occupant-Centric Smart Building Systems

5. AI In Smart Buildings And Infrastructure Market Analysis Of End Use Industries

  • 5.1 Commercial Building Operators
  • 5.2 Residential Property Developers
  • 5.3 Industrial Facility Owners
  • 5.4 Government Infrastructure Authorities
  • 5.5 Healthcare Facility Operators

6. AI In Smart Buildings And Infrastructure Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global AI In Smart Buildings And Infrastructure Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global AI In Smart Buildings And Infrastructure PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global AI In Smart Buildings And Infrastructure Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global AI In Smart Buildings And Infrastructure Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global AI In Smart Buildings And Infrastructure Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global AI In Smart Buildings And Infrastructure Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. AI In Smart Buildings And Infrastructure Market Segmentation

  • 9.1. Global AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Software, Hardware, Services
  • 9.2. Global AI In Smart Buildings And Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Machine Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Other Technologies
  • 9.3. Global AI In Smart Buildings And Infrastructure Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Building Automation, Energy Management, Security And Surveillance, Predictive Maintenance, Smart Parking, Other Applications
  • 9.4. Global AI In Smart Buildings And Infrastructure Market, Segmentation By End-User Industry, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Commercial Buildings, Residential Buildings, Industrial Buildings, Government Buildings, Healthcare Facilities, Educational Institutions, Retail Spaces, Other End User Industries
  • 9.5. Global AI In Smart Buildings And Infrastructure Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 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
  • 9.6. Global AI In Smart Buildings And Infrastructure Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Sensors, Edge AI Devices, IoT Gateways, AI-Powered Cameras And Surveillance Equipment, Smart Meters And Smart Grids, Robotics For Facility Management
  • 9.7. Global AI In Smart Buildings And Infrastructure Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 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

10. AI In Smart Buildings And Infrastructure Market, Industry Metrics By Country

  • 10.1. Global AI In Smart Buildings And Infrastructure Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global AI In Smart Buildings And Infrastructure Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

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

  • 11.1. Global AI In Smart Buildings And Infrastructure Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global AI In Smart Buildings And Infrastructure Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 12.1. Asia-Pacific AI In Smart Buildings And Infrastructure Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China AI In Smart Buildings And Infrastructure Market

  • 13.1. China AI In Smart Buildings And Infrastructure Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India AI In Smart Buildings And Infrastructure Market

  • 14.1. India AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan AI In Smart Buildings And Infrastructure Market

  • 15.1. Japan AI In Smart Buildings And Infrastructure Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia AI In Smart Buildings And Infrastructure Market

  • 16.1. Australia AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia AI In Smart Buildings And Infrastructure Market

  • 17.1. Indonesia AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea AI In Smart Buildings And Infrastructure Market

  • 18.1. South Korea AI In Smart Buildings And Infrastructure Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan AI In Smart Buildings And Infrastructure Market

  • 19.1. Taiwan AI In Smart Buildings And Infrastructure Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia AI In Smart Buildings And Infrastructure Market

  • 20.1. South East Asia AI In Smart Buildings And Infrastructure Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe AI In Smart Buildings And Infrastructure Market

  • 21.1. Western Europe AI In Smart Buildings And Infrastructure Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK AI In Smart Buildings And Infrastructure Market

  • 22.1. UK AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany AI In Smart Buildings And Infrastructure Market

  • 23.1. Germany AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France AI In Smart Buildings And Infrastructure Market

  • 24.1. France AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy AI In Smart Buildings And Infrastructure Market

  • 25.1. Italy AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain AI In Smart Buildings And Infrastructure Market

  • 26.1. Spain AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe AI In Smart Buildings And Infrastructure Market

  • 27.1. Eastern Europe AI In Smart Buildings And Infrastructure Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia AI In Smart Buildings And Infrastructure Market

  • 28.1. Russia AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America AI In Smart Buildings And Infrastructure Market

  • 29.1. North America AI In Smart Buildings And Infrastructure Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA AI In Smart Buildings And Infrastructure Market

  • 30.1. USA AI In Smart Buildings And Infrastructure Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada AI In Smart Buildings And Infrastructure Market

  • 31.1. Canada AI In Smart Buildings And Infrastructure Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America AI In Smart Buildings And Infrastructure Market

  • 32.1. South America AI In Smart Buildings And Infrastructure Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil AI In Smart Buildings And Infrastructure Market

  • 33.1. Brazil AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East AI In Smart Buildings And Infrastructure Market

  • 34.1. Middle East AI In Smart Buildings And Infrastructure Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa AI In Smart Buildings And Infrastructure Market

  • 35.1. Africa AI In Smart Buildings And Infrastructure Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. AI In Smart Buildings And Infrastructure Market Regulatory and Investment Landscape

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

  • 37.1. AI In Smart Buildings And Infrastructure Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. AI In Smart Buildings And Infrastructure Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. AI In Smart Buildings And Infrastructure Market Company Profiles
    • 37.3.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Robert Bosch GmbH Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis

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

  • 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.

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

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

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

  • 41.1. AI In Smart Buildings And Infrastructure Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. AI In Smart Buildings And Infrastructure Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. AI In Smart Buildings And Infrastructure Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer