The global energy and utilities analytics market is forecast to grow from over $6.10 billion in 2026 to over $10.10 billion by 2031, representing a compound annual growth rate of 10.6%.
A new report published by ResearchAndMarkets.com outlines the key forces shaping the sector, identifying grid modernization, renewable energy integration, and smart meter rollouts as the primary growth engines.
IBM (NYSE: IBM), SAP, Oracle, Microsoft, Siemens, ABB, and GE Vernova are among the 39 companies profiled in the report, which spans 276 pages of competitive and market analysis.
Grid modernization investments are expanding analytics deployment across utility networks, improving operational efficiency and enabling more sophisticated data-driven decision-making at scale.
The rising penetration of renewable energy sources is also increasing demand for advanced forecasting solutions, as utilities work to manage variability and maintain supply reliability across increasingly complex grids.
Smart meter rollouts are accelerating this transformation, enabling utilities to shift toward data-driven operations and optimize resource management across power, water, and waste infrastructure.
Despite strong momentum, the market faces meaningful headwinds, with legacy infrastructure cited as a significant barrier that limits the integration of advanced analytics platforms across older utility systems.
Cybersecurity and data privacy concerns represent an additional constraint, complicating deployment efforts and contributing to higher operational costs for utilities pursuing digital transformation strategies.
Cloud-based deployment is projected to record the highest growth among all deployment modes, driven by demand for scalable, real-time, and cost-efficient analytics delivered via SaaS and PaaS models.
Cloud platforms offer utilities enhanced scalability, centralized data access, remote system monitoring, and faster application rollout, while also supporting AI integration, advanced forecasting, and automated reporting functions.
The services segment is expected to outpace platforms in growth, as utilities increasingly require consulting, system integration, managed services, and implementation support throughout the full analytics lifecycle.
AI-driven predictive maintenance is identified as a major opportunity, with the potential to create new revenue streams and improve service reliability across power generation, transmission, and distribution networks.
The growth of electric vehicles and the shift toward decentralized energy systems are further expanding demand for load analytics and edge analytics capabilities, creating additional avenues for vendors to capture market share.
Asia Pacific is forecast to register the highest regional CAGR, with China and India leading investment in AI-driven analytics for power management alongside significant capacity additions and government mandates for decarbonization.
Mature Asia Pacific markets including Japan, Australia, and South Korea are utilizing analytics for energy diversification and net-zero goals, while Southeast Asian nations such as Indonesia and Vietnam are rapidly adopting outage management and network planning tools.
