The global smart grid analytics market is projected to register a CAGR of 12.4% during the forecast period, reaching USD 14.3 billion by 2029 from an estimated USD 7.9 billion in 2024. Major factors to boost the market growth include the rising integration of smart meters in residential and commercial properties, increasing prevalence of outdated electrical grid systems, and expanding demand for sustainable energy practices.
To know about the assumptions considered for the study download the pdf brochure
Siemens (Germany)
Siemens is one of the leading players in the smart grid analytics market, leveraging its extensive expertise in automation and digitalization. Their advanced analytics solutions, integrated with robust IoT platforms like MindSphere, enable real-time data analysis and predictive maintenance, enhancing grid reliability and efficiency. Siemens' commitment to innovation is evident through their investment in AI and machine learning technologies, which facilitate intelligent grid management and optimization. Their global presence and comprehensive portfolio, including smart meters, grid edge technologies, and cybersecurity solutions, position Siemens as a crucial contributor to the evolution of smart grids, addressing both current energy challenges and future sustainability goals.
Oracle (US)
Oracle stands out in the smart grid analytics market with its robust suite of utilities analytics applications and cloud-based solutions. Their emphasis on leveraging big data and advanced analytics empowers utility companies to optimize grid performance, enhance customer service, and improve operational efficiency. Oracle's strong integration capabilities allow seamless data flow across various utility functions, promoting a unified and comprehensive approach to grid management. With its focus on scalability and security, Oracle's solutions are well-suited for managing the growing complexity and demands of modern smart grids. Additionally, Oracle's ongoing innovation in AI and machine learning further strengthens its position as a key player in driving smart grid advancements.
Schneider Electric (France)
Schneider Electric excels in the smart grid analytics market through its comprehensive EcoStruxure Grid platform, which offers end-to-end solutions for grid optimization and management. The company's focus on sustainability and energy efficiency aligns with the needs of modern smart grids, providing tools for real-time monitoring, predictive maintenance, and advanced analytics. Schneider Electric's strong emphasis on interoperability and open standards ensures seamless integration with existing grid infrastructures. Their innovative use of IoT and AI technologies enhances grid reliability and resilience, making them one of the key players in the transition towards smarter, more efficient energy systems. Schneider Electric’s global reach and extensive expertise further solidify their leadership in the smart grid analytics space.
GE Vernova (US)
GE Vernova, based in the United States, specializes in smart grid solutions within the analytics market segment. They are known for their expertise in grid optimization and digital energy management, offering advanced analytics, asset management, renewable energy integration, and grid modernization services. GE Vernova focuses on enhancing grid reliability, efficiency, and sustainability through innovative technologies and data-driven insights. Their solutions cater to utilities seeking to improve operational performance, optimize energy distribution, and meet the challenges of integrating renewable energy sources into the grid effectively.
Landis+Gyr (Switzerland)
Landis+Gyr, headquartered in Switzerland, is a leading provider in the global smart grid analytics market, specializing in smart metering and grid management solutions. They offer comprehensive services including advanced metering infrastructure (AMI), grid management software, and demand response systems. Landis+Gyr enables utilities to optimize grid efficiency, manage energy resources effectively, and engage consumers through innovative smart grid technologies. Their solutions leverage data analytics to provide real-time insights into energy consumption patterns, enhance operational performance, and support sustainable energy initiatives worldwide.
Related Reports:
Smart Grid Analytics Market by Software Type (Meter analytics, Operational Analytics, Reliability Analytics), Application (AMI, Load Forecasting, Demand Response, Grid Optimization), Analytics Type (Predictive, Prescriptive) - Global Forecast to 2029
This FREE sample includes market data points, ranging from trend analyses to market estimates & forecasts. See for yourself.
SEND ME A FREE SAMPLE