The global market for building data integration technologies continues to grow as vendors begin to understand and develop solutions that process large amounts of facility data. Today, the challenge lies in organizing data sets that come with various formats, naming conventions, and syntaxes. While new building energy management systems (BEMSs) can be implemented to enhance data collection and processing, existing systems present challenges in performing functional data analyses. Additionally, as BEMSs look to incorporate data from networked lighting, access controls, and demand response (DR) signals, the ability to develop analytics platforms as expert systems becomes even more challenging. Yet, large data sets have the potential to improve energy and operational efficiencies, and BEMSs are beginning to evolve as expert systems to analyze and automatically adjust to data-driven insights. Globally, the building data integration market landscape continues to develop as regulatory energy efficiency pressures and corporate sustainability strategies increase customer demand for data-driven solutions. Fully integrated BEMSs can process data from building systems, the grid, and weather information to provide actionable insights and improve facilities management. According to Navigant Research, global building data integration revenue is expected to grow from $89.9 million in 2016 to $971.3 million in 2025. This Navigant Research report analyzes the global market for data integration for intelligent buildings, with a focus on three offering types: software, services, and hardware. The study analyzes the current state of the building data integration market and provides insights into the future direction of fully integrated BEMSs based on the functionality of emerging technologies, semantic models, and shifting customer demands. Global market forecasts, segmented by region, offering type, and customer type, extend through 2025. The report also examines variations in the adoption of building data integration technologies across geographies and customer types, as well as the competitive landscape.