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Smart Buildings Semiannual Update: 1H 2026

Price: Starting at USD 1,950
Publish Date: 03 Aug 2026
Code: PT-3861
Research Type: Presentation
Pages: 17
Actionable Benefits

Actionable Benefits

  • Understand how Artificial Intelligence (AI), analytics, and interoperable platforms are shifting smart building investment priorities from data collection toward measurable operational outcomes.
  • Prioritize smart building investments that reduce operating costs, offset facility labor shortages, improve resilience, and support compliance with emerging energy and sustainability requirements.
  • Compare growth opportunities across Heating, Ventilation, and Air Conditioning (HVAC), data center thermal management, fire safety, perimeter security, indoor sensing, lighting, and Internet of Things (IoT) connectivity markets.
  • Prepare smart building strategies for the next 24 months by understanding how Return on Investment (ROI) expectations, data readiness, autonomous operations, and hardware-only differentiation will shape customer adoption.
Research Highlights

Research Highlights

  • Analysis of the smart building market’s transition from hardware-centric portfolios toward AI-enabled software platforms, integrated services, and recurring digital revenue models.
  • Examination of notable deployments demonstrating AI-optimized data center cooling, advanced heat pump retrofits, and enterprise-scale AI-enabled building management.
  • 24-month outlook of smart building opportunities, including AI ROI validation, data readiness, unified building operations platforms, autonomous operations, and declining relevance of manual workflows.
  • Assessment of disruptive threats shaping smart building adoption, including ROI pressure, cybersecurity risk, fragmented legacy infrastructure, modernization costs, and shortages of digitally skilled facility professionals.
Critical Questions Answered

Critical Questions Answered

  • How are building owners changing their investment priorities as operating costs, skilled labor shortages, aging assets, and sustainability requirements intensify?
  • What role will Generative AI (Gen AI), Machine Learning (ML), and Agentic AI play in fault detection, workflow automation, predictive maintenance, and increasingly autonomous building operations?
  • What competitive risks do vendors face if they rely on standalone hardware, isolated monitoring tools, proprietary systems, or one-off AI pilots?
Who Should Read This?

Who Should Read This?

  • Smart building technology vendors, platform providers, and solution strategists developing interoperable AI, analytics, sensing, security, HVAC, lighting, and connectivity offerings.
  • Building owners, facility managers, and real estate operations leaders seeking to reduce costs, manage aging assets, strengthen resilience, and prepare portfolios for AI-enabled operations.
  • Data center operators, infrastructure planners, and thermal management vendors assessing liquid cooling, hybrid cooling architectures, AI-driven thermal optimization, and rising cooling load requirements.
  • Corporate sustainability, compliance, and digital transformation teams responsible for energy performance, emissions reporting, indoor environmental quality, cybersecurity readiness, and smart building modernization.

Table of Contents

Executive Summary

Key Smart Building Trends

Market Opportunities

Disruptive Threats

Industry Developments 

Vendor Announcements and Product Launches

Notable Industry Deployments

HVAC

Data Center

Fire Safety, Perimeter Security, and Indoor Sensing

Lighting

IoT Connectivity

Strategic Guidance for Building Operators & Facility Managers

Strategic Guidance for Technology & Solution Providers