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Energy and Utilities Analytics Market Surges to $10.10 billion at a CAGR 10.6% by 2031 | Report by MarketsandMarkets™

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IBM IBM is mentioned as a top company in the Energy and Utilities Analytics Market, indicating its involvement and potential benefit from the market's growth. The article highlights the company's efforts to strengthen its analytics portfolios through AI innovation and cloud-enabled platforms. ORCL Oracle is listed as a top company in the Energy and Utilities Analytics Market, suggesting its participation and potential gains from the market's expansion. The article notes the company's focus on enhancing its analytics offerings with AI and cloud solutions. MSFT Microsoft is identified as a leading company in the Energy and Utilities Analytics Market, implying its role and potential advantages from the market's growth. The article mentions the company's strategy to bolster its analytics capabilities via AI advancements and cloud platforms. AMZN Amazon Web Services is named as a top player in the Energy and Utilities Analytics Market, suggesting its contribution and potential to benefit from the market's growth. The article points to the company's ongoing efforts to improve its analytics solutions through AI and cloud technologies. GOOG Google is recognized as a key company within the Energy and Utilities Analytics Market, indicating its involvement and potential to capitalize on the market's expansion. The article highlights the company's work on improving its analytics solutions through AI and cloud infrastructure. TER Teradata is listed among the top companies in the Energy and Utilities Analytics Market, suggesting its participation and potential to benefit from the market's growth. The article notes the company's efforts to enhance its analytics offerings through AI and cloud platforms. SNOW Snowflake is mentioned as a leading company in the Energy and Utilities Analytics Market, indicating its role and potential advantages from the market's expansion. The article highlights the company's focus on strengthening its analytics portfolios with AI innovation and cloud-enabled platforms. GE GE Digital is identified as a top company in the Energy and Utilities Analytics Market, suggesting its involvement and potential to benefit from the market's growth. The article notes the company's efforts to enhance its analytics solutions through AI and cloud technologies.

Energy and Utilities Analytics Market Surges to $10.10 billion at a CAGR 10.6% by 2031 | Report by MarketsandMarkets™ Delray Beach, FL, July 30, 2026 (GLOBE NEWSWIRE) -- According to MarketsandMarkets™, the global Energy and Utilities Analytics Market is projected to grow from USD 6.10 billion in 2026 to USD 10.10 billion by 2031, registering a CAGR of 10.6% during the forecast period. Growth is being fueled by the rapid adoption of AI-driven analytics, Industrial Internet of Things (IIoT), machine learning, and digital twin technologies that enable utilities to make faster, data-driven operational decisions.

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Key Market Highlights

Why This Market Matters

Energy providers are operating in an environment defined by rising electricity demand, renewable energy integration, evolving regulatory frameworks, and aging infrastructure. Traditional operational models are no longer sufficient to manage increasingly dynamic power networks.

Advanced analytics is emerging as a strategic capability that enables utilities to predict equipment failures, optimize grid performance, improve outage response, and support carbon reduction initiatives. By transforming operational data into actionable intelligence, analytics is becoming essential for improving reliability, reducing costs, and accelerating the transition toward more sustainable energy systems.

Market Overview

The Energy and Utilities Analytics Market is undergoing a transition toward intelligence-driven operations, where predictive and prescriptive analytics support real-time decision-making across utility networks.

Organizations are moving beyond conventional data collection by leveraging AI-enabled analytics platforms that improve forecasting, optimize energy distribution, and enhance operational performance. The adoption of IIoT, AI and machine learning (AI/ML), and digital twin technologies is providing utilities with deeper visibility into assets while enabling more accurate planning and proactive maintenance.

Edge computing is further strengthening these capabilities by processing operational data closer to network assets. Reduced latency allows utilities to respond more quickly to critical grid events, supporting efficient grid management and improved service continuity. Together, these technologies are helping utilities build more resilient, efficient, and sustainable operating models.

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Analyst Perspective

Utilities are increasingly viewing analytics as a strategic investment rather than a standalone technology deployment. As digital infrastructure expands and renewable energy sources introduce greater variability into electricity networks, organizations require advanced analytical capabilities to improve operational agility and planning accuracy.

The growing emphasis on predictive maintenance, grid optimization, sustainability reporting, and real-time operational intelligence reflects a broader shift toward data-centric utility management. Organizations that successfully integrate advanced analytics into core operations will be better positioned to improve reliability, maximize infrastructure investments, and respond effectively to changing energy market dynamics.

Segment Analysis

Professional services are expected to account for the larger share within the services segment during the forecast period. These services provide organizations with specialized expertise across analytics strategy development, infrastructure assessment, system architecture design, implementation, and performance optimization.

As utilities modernize infrastructure and integrate renewable energy resources, demand for consulting services related to cloud migration, cybersecurity, predictive maintenance planning, and sustainability analytics continues to increase. Organizations are prioritizing scalable analytics frameworks and accelerated deployment strategies that deliver measurable business outcomes while addressing evolving operational and regulatory requirements.

Among applications, grid & network analytics are estimated to account for the largest market share. These solutions enable utilities to strengthen electricity transmission and distribution by improving grid reliability, identifying anomalies, minimizing transmission losses, and accelerating outage response. Growing deployment of smart grids, IoT-enabled devices, and advanced metering infrastructure is generating large volumes of operational data, reinforcing the importance of analytics in enhancing network resilience and operational efficiency.

Regional Analysis

North America is expected to lead the Energy and Utilities Analytics Market throughout the forecast period, supported by early adoption of smart grid technologies, mature digital infrastructure, and the strong presence of leading analytics and utility technology providers.

The region continues to invest heavily in advanced metering infrastructure (AMI), smart grid modernization, and real-time operational analytics. Increasing integration of renewable energy sources and distributed energy resources (DER) is driving demand for forecasting solutions, grid-edge analytics, and distributed resource management systems. Regulatory initiatives focused on clean energy transition are also accelerating adoption of integrated resource planning (IRP) and carbon accounting solutions.

In the Western United States, utilities are expanding investments in AI-powered analytics to strengthen wildfire risk assessment and vegetation management, further reinforcing the role of advanced analytics in improving grid resilience and operational safety.

Key Industry Trends

The market is being shaped by several long-term technology and operational trends, including:

Competitive Landscape

The Top companies in the Energy and Utilities Analytics Market include IBM (US), SAP (Germany), SAS (US), Oracle (US), Microsoft (US), Amazon Web Services (US), Google (US), Teradata (US), Snowflake (US), Siemens (Germany), Schneider Electric (France), ABB (Switzerland), and GE Digital (US). These companies continue to strengthen their analytics portfolios through AI innovation, cloud-enabled platforms, and industry-specific solutions designed to help utilities improve operational performance, grid reliability, and sustainability outcomes.

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