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The global market for intelligent building solutions will continue to experience strong growth as intelligent buildings move from a solution for early adopters into the mainstream. Intelligent building systems fall into three application categories. The first applies AI to the management of the facility's HVAC system to better anticipate needs for heating, cooling, and indoor air quality based on set priorities to lower costs, reduce carbon emissions, encourage employee productivity, and maintain employee comfort. The second is a building energy management system that offers insight into power usage within the facility and controls local power sources such as solar panels and local battery storage. The third connects multiple building automation systems (BAS) so they can operate as an integrated whole.

Market trends for intelligent building solutions vary by building type and region. These trends reflect different needs for different building types across regions, and regional variations in economic prosperity levels, new building technology adoption rates, and regulatory mandates.

This Guidehouse Insights report examines the global market for commercial intelligent building solutions that enable building owners, managers, and operators to manage and control major BAS. Market conditions, technology issues, and trends are analyzed to forecast the adoption and success of these systems. The report includes estimates of market size and revenue forecasts from 2023 through 2032 for five global regions (North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa), three segments, and eight building types.

Table of Contents

1. Executive Summary

• 1.1 Key Market Trends
• 1.2 Market Outlook

2. Market Issues

• 2.1 Market Overview
  • 2.1.1 Intelligent Building Applications Synopsis
    • 2.1.1.1 Intelligent HVAC Systems
    • 2.1.1.2 Building Energy Management Systems
    • 2.1.1.3 Building Management Systems
• 2.2 Market Drivers
  • 2.2.1 Regulations
  • 2.2.2 Reduced Operational Costs and Protection from Energy Price Spikes
  • 2.2.3 Improved Occupant Health and Comfort
  • 2.2.4 ESG Goals
  • 2.2.5 Emergence of Products and Services for SMBs
• 2.3 Market Barriers
  • 2.3.1 Multiple Generations of BAS
  • 2.3.2 Cybersecurity
  • 2.3.3 Cost
  • 2.3.4 Skilled Worker Shortage
  • 2.3.5 Uncertainty of Return-to-Work Timing
  • 2.3.6 Occupancy Sensors
  • 2.3.7 Other Intelligent Building Sensors

3. Intelligent Building Value Chain

• 3.1 Value Chains for the Three Main Intelligent Building Applications
  • 3.1.1 Value Chain for Intelligent HVAC Systems
  • 3.1.2 Value Chain for BEMS
  • 3.1.3 Value Chain for BMS
  • 3.1.4 The Role of ESCOs
• 3.2 Competitive Landscape
  • 3.2.1 Business Model Evolution

4. Market Forecasts

• 4.1 Forecast Methodology
• 4.2 Global Forecasts
  • 4.2.1 New Construction and Building Retrofits
  • 4.2.2 Building Types
• 4.3 Forecasts by Geography
  • 4.3.1 North America
  • 4.3.2 Europe
  • 4.3.3 Asia Pacific
  • 4.3.4 Latin America
  • 4.3.5 Middle East & Africa

5. Conclusions and Recommendations

• 5.1 Three Big Takeaways
• 5.2 Recommendations
  • 5.2.1 Intelligent Building Solution Manufacturers
  • 5.2.2 ESCOS
  • 5.2.3 Sensor Manufacturers
  • 5.2.4 Utilities

6. Building Types

• 6.1 Office
• 6.2 Retail
• 6.3 Education
• 6.4 Healthcare
• 6.5 Hotels and Restaurants
• 6.6 Institutional/Assembly
• 6.7 Warehouse
• 6.8 Transport

7. Acronym and Abbreviation List

8. Table of Contents

9. Table of Charts and Figures

10. Scope of Study

11. Sources, Methodology and Notes