AI in Smart Buildings and Infrastructure Market Top Players - IBM Corporation, Siemens AG, Honeywell International Inc., Johnson Controls International plc.

InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global AI in Smart Buildings and Infrastructure Market - (By Type (Software, Hardware, Services), By Application (Building Energy Management, HVAC Control and Optimization, Security and Surveillance, Predictive Maintenance, Occupancy and Space Management, Lighting Control and Optimization, Emergency Management and Response), By End-User (Commercial Buildings, Residential Buildings, Industrial Buildings, Government Buildings, Healthcare Facilities, Educational Institutions, Retail Spaces), By AI Technology (Machine Learning, Natural Language Processing, Computer Vision, Deep Learning, Neural Networks)), Trends, Industry Competition Analysis, Revenue and Forecast To 2031."

According to the latest research by InsightAce Analytic, the Global AI in Smart Buildings and Infrastructure Market is valued at US$ 32.8 Billion in 2023, and it is expected to reach US$ 177.1 Billion by 2031, with a CAGR of 23.9% during the forecast period of 2024-2031.

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Artificial intelligence (AI) applications in smart buildings and infrastructure involve leveraging advanced AI technologies to enhance the design, operation, and management of buildings and urban environments. By processing data collected from diverse sensors and systems, AI significantly improves energy efficiency, strengthens security protocols, and enables dynamic environments that adapt to real-time demands. The integration of AI within this domain is fundamentally transforming the functionality of buildings and urban infrastructure, driving improvements in operational efficiency, safety, and responsiveness. However, challenges including system integration complexities, concerns over data privacy, and substantial implementation costs must be effectively managed to support wider adoption and seamless deployment.

The sector has witnessed notable growth in recent years, with AI serving as a critical enabler for enhancing the efficiency, sustainability, and overall performance of built environments. Machine learning and data analytics have played pivotal roles in revolutionizing building operations, occupant interaction, and environmental adaptability.

List of Prominent Players in the AI in Smart Buildings and Infrastructure Market:
• IBM Corporation
• Siemens AG
• Honeywell International Inc.
• Johnson Controls International plc
• Schneider Electric SE
• ABB Ltd.
• Intel Corporation
• Microsoft Corporation
• Google LLC
• Cisco Systems, Inc.
• Huawei Technologies Co., Ltd.
• Amazon Web Services, Inc.

Market Dynamics:
Drivers-
Energy efficiency serves as a key driver behind the increasing adoption of artificial intelligence (AI) in smart buildings and infrastructure, with AI technologies optimizing energy consumption to reduce operational costs and environmental impact. Enhanced security, enabled by AI-powered surveillance and access control systems, constitutes another significant factor propelling market growth. Moreover, AI-driven predictive maintenance helps minimize system downtime and prolong the operational lifespan of building assets. By automating environmental controls such as heating, lighting, and cooling through real-time data analysis, AI contributes to improved occupant comfort and productivity. The widespread integration of IoT devices and sensors, which supply critical data for AI algorithms, further accelerates market development. Additionally, the global expansion of smart city initiatives is increasing demand for AI-enabled building and infrastructure management solutions aimed at fostering more sustainable and efficient urban environments.

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Challenges:
The adoption of artificial intelligence (AI) in smart buildings and infrastructure faces several significant challenges. High upfront costs associated with AI implementation and the retrofitting of existing facilities may hinder widespread deployment. Additionally, data privacy and security concerns-arising from the extensive data collection necessary for AI functionality-pose potential regulatory obstacles. Compatibility and interoperability issues between AI platforms and legacy building management systems further complicate integration efforts. The limited availability of skilled professionals proficient in developing, implementing, and maintaining these advanced technologies also constitutes a critical barrier. Moreover, the extended lifecycle of building infrastructure, contrasted with the rapid evolution of AI technologies, necessitates frequent system upgrades and ongoing capital investment to ensure continued relevance. Effectively addressing these challenges is essential to unlocking the full potential of AI in enhancing building efficiency and sustainability.

Regional Trends:
The North American market for AI in smart buildings and infrastructure is projected to experience robust growth, driven by accelerating urbanization, widespread adoption of smart technologies, and increasing demand for energy-efficient solutions. The integration of AI within building management systems significantly improves operational efficiency, lowers energy consumption, and enhances occupant comfort. Continued advancements in IoT and connectivity technologies further support market expansion. Moreover, both governmental and private sector investments in smart city initiatives are catalyzing development in this sector. As the need for intelligent and sustainable building solutions intensifies, the North American market is expected to register a strong compound annual growth rate (CAGR), reflecting considerable opportunities for innovation and advancement.

Recent Developments
• In June 2024, Schneider Electric, a worldwide frontrunner in the digitalization of energy management and automation, revamped its Digital Buildings operations in Canada by introducing the SMART Buildings Division. This transformation represented a strategy shift towards providing all-encompassing solutions and services that aided building owners and operators in attaining their objectives of reducing carbon emissions and promoting sustainability.
• In April 2024, The Saudi real estate developer ROSHN Group has entered into an agreement with Cisco to investigate the application of the Internet of Things in the company's environmentally friendly intelligent buildings. The collaborative framework will involve the utilization of technology produced by the US-based company in the innovation hub of the giga-project, which is scheduled to launch next year.

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Segmentation of AI in Smart Buildings and Infrastructure Market-
By Type-
• Software
• Hardware
• Services
By Application-
• Building Energy Management
• HVAC Control and Optimization
• Security and Surveillance
• Predictive Maintenance
• Occupancy and Space Management
• Lighting Control and Optimization
• Emergency Management and Response
• Others
By End-User
• Commercial Buildings
• Residential Buildings
• Industrial Buildings
• Government Buildings
• Healthcare Facilities
• Educational Institutions
• Retail Spaces
• Others
By AI Technology
• Machine Learning
• Natural Language Processing
• Computer Vision
• Deep Learning
• Neural Networks
• Others

By Region-
North America-
• The US
• Canada
• Mexico
Europe-
• Germany
• The UK
• France
• Italy
• Spain
• Rest of Europe
Asia-Pacific-
• China
• Japan
• India
• South Korea
• South East Asia
• Rest of Asia Pacific
Latin America-
• Brazil
• Argentina
• Rest of Latin America
Middle East & Africa-
• GCC Countries
• South Africa
• Rest of Middle East and Africa

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InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.

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This release was published on openPR.