유틸리티 및 에너지 분석 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the utility and energy analytics market size is USD 5.87 billion in 2026 and is projected to reach USD 9.05 billion by 2031, reflecting a 9.03% CAGR.

This report is Segmented by Deployment (Cloud, Hybrid, and More), Component (Software, Services, and More), Application (Meter Operations and Data Management, Load and Generation Forecasting, and More), End-User (Generation Utilities, Transmission and Distribution Operators, and More), Utility Type (Electric, Gas, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Utility And Energy Analytics Market Trends and Insights

Mandatory Renewable Mandates and Decarbonisation Spend

Clean-energy statutes in the European Union and California force utilities to manage higher renewable penetration with stochastic optimization and granular forecasting. Machine-learning models that merge satellite imagery, numerical weather prediction, and historical generation now cut renewable forecast error below 5% mean absolute percentage error, the threshold for profitable ancillary-services participation. Global renewable capacity additions hit 510 GW in 2023, a 50% rise year-over-year, escalating the need for analytics that harmonize variable generation with inflexible baseload assets. Capital expenditure on decarbonization surpassed USD 1.8 trillion in 2023, and a growing slice flows to software that defers fossil retirements. Disclosure frameworks such as the Task Force on Climate-related Financial Disclosures oblige scenario modeling, embedding analytics into governance and investor relations.

AMI 2.0 Roll-out and Edge Analytics Adoption

Second-generation smart-meter programs generate terabyte-scale daily data, requiring real-time validation, tamper detection, and customer segmentation. India's 250 million-meter tender and the United States Grid Modernization Initiative are accelerating edge analytics that trim bandwidth costs by 60% and satisfy local data-residency laws. IEEE Standard 2030.5 harmonizes communication protocols, facilitating interoperability between meter vendors and analytics platforms. Utilities leverage granular consumption patterns to curb non-technical losses of 3-5% and to craft targeted efficiency programs that shave peak demand without new infrastructure.

Legacy OT-IT Integration Costs and Data Silos

Supervisory control and data acquisition systems installed decades ago rely on proprietary protocols that resist modern analytics integration. The United States Government Accountability Office pegs upgrade costs for large investor-owned utilities between USD 40 million and USD 80 million, with timelines stretching up to two years. Siloed datasets across metering, outage, GIS, and billing demand custom extract-transform-load pipelines absorbing 40% of project budgets. Partial adoption of IEC 61850 leaves 60% of North American substations incompatible with real-time analytics. Organizational resistance among operation-technology teams further delays integration, stalling pilots at proof-of-concept stage.

Other drivers and restraints analyzed in the detailed report include:

1. Wholesale-Price Volatility Driving Load-Forecast Accuracy
2. Cloud-Native Utility-Analytics Frameworks
3. Data-Science Talent Shortage In Power Domain

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

On-premise deployments commanded 53.16% revenue in 2025, underscoring utilities' preference for direct control over operational data. The utility and energy analytics market size for hybrid architectures is projected to expand at a 13.07% CAGR between 2026 and 2031 as operators move historical analytics and scenario modeling to the cloud while retaining real-time control workloads locally. Municipal utilities pursue cloud-native software-as-a-service to sidestep capital budgets, whereas investor-owned utilities embrace phased migration plans aligned with evolving security frameworks. National Institute of Standards and Technology guidelines have removed regulatory ambiguity, encouraging adoption. Edge deployments at substations shorten fault-detection latency to milliseconds, enabling feeder-level voltage regulation that centralized models cannot achieve. Utilities also leverage edge gateways to satisfy data-sovereignty rules by filtering sensitive telemetry before cloud transfer. As renewable intermittency intensifies, elastic compute capacity for Monte Carlo simulations becomes indispensable, driving continuous hybrid uptake in the utility and energy analytics market.

The shift toward hybrid models also aligns with disaster-recovery objectives, permitting seamless workload failover across regions without duplicating physical infrastructure. Vendors offering unified management across on-premise, cloud, and edge nodes reduce operational complexity and attract utilities seeking single-pane-of-glass oversight. The competitive landscape now includes hyperscalers that certify industry-specific security controls, lowering due-diligence burden. However, utilities must still invest in robust identity-and-access management to prevent lateral movement between information-technology and operation-technology networks. Managed-service contracts bundled with hybrid deployments expedite skill transfer and mitigate talent shortages. Consequently, the utility and energy analytics market will likely witness hybrid overtaking pure on-premise by the end of the forecast period.

Software platforms delivered 65.72% of component revenue in 2025, reflecting entrenched meter data management and outage suites. Nevertheless, services are growing fastest at 12.21% CAGR because utilities rely on advisory support for integration, model tuning, and change management. Open-source frameworks reduce license fees but demand customization, reinforcing service spend. The utility and energy analytics market size captured by services is expected to widen as subscription pricing compresses upfront software revenue. System integrators bundle multi-year managed services that assume operational risk, aligning vendor incentives with utility outcomes. Hardware revenue remains incremental yet strategic, covering intelligent electronic devices, gateways, and sensors critical for edge analytics.

Ongoing AI model maintenance fuels repeat service engagements. Utilities without in-house data-science teams contract vendors for periodic retraining to account for changing load patterns or equipment aging. Service providers also deliver cybersecurity monitoring, ensuring compliance with evolving standards. As utilities digitize asset management, demand for consulting around business process re-engineering rises. Vendors differentiating through domain expertise and accelerated deployment templates capture premium billable rates. Together, these factors underpin robust growth prospects for services within the utility and energy analytics market.

Complete Report Scope:

• By Deployment
  • On-Premise
  • Cloud
  • Hybrid
• By Component
  • Software
  • Services
  • Hardware / Edge Devices
• By Application
  • Meter Operations and Data Management
  • Load and Generation Forecasting
  • Demand Response and Flexibility
  • Distribution Planning and Optimisation
  • Asset Performance Management
  • Outage Management and Reliability
• By Utility Type
  • Electric
  • Gas
  • Water
  • Multi-Utility
• By End-User
  • Generation Utilities
  • Transmission and Distribution Operators
  • Retail Energy Suppliers
  • Independent Power Producers
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Nordics
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia and New Zealand
    • ASEAN
    • Rest of Asia-Pacific
  • Middle East
    • Saudi Arabia
    • United Arab Emirates
    • Israel
    • Turkey
    • Rest of Middle East
  • Africa
    • South Africa
    • Egypt
    • Nigeria
    • Rest of Africa

Geography Analysis

North America led the utility and energy analytics market with 34.87% share in 2025, buoyed by Federal Energy Regulatory Commission directives that integrate distributed resources into wholesale markets. United States transmission-upgrade funding of USD 10.5 billion embeds analytics into project selection, while Canada optimizes hydro reservoirs for simultaneous power generation and flood control. Mexico's regulatory uncertainty tempers adoption but modernization projects continue at private utilities. High renewable penetration in California and Texas necessitates probabilistic forecasting, spurring investment across the continent. Utilities also deploy analytics for wildfire risk mitigation, integrating weather data with vegetation models to prioritize line clearing.

Asia-Pacific is advancing at a 9.84% CAGR through 2031. China's plan to reach 1,200 GW of wind and solar by 2030 demands provincial grid-modernization spending above USD 100 billion. India's 250 million smart-meter rollout aims to slash aggregate losses above 20% in several states. Japan's virtual power plant pilots aggregate residential batteries for wholesale participation, while South Korea's Green New Deal allocates USD 95 billion to renewables and smart grids. Australia's five-minute settlement and rising rooftop solar penetration heighten the need for sub-hourly analytics. Regional grid code harmonization under the Association of Southeast Asian Nations will unlock cross-border dispatch optimization, expanding the utility and energy analytics market.

Europe's clean-energy package mandates demand response and storage access to all markets by 2025, catalyzing analytics for distributed flexibility. Germany's Energiewende surpassed 50% renewable electricity in 2023, forcing transmission operators to manage bidirectional power flows. The United Kingdom's holistic network design underwrites GBP 58 billion in transmission investments linked to net-zero pathways. In the Middle East, Saudi Arabia commits USD 50 billion to renewables by 2030, and the United Arab Emirates applies artificial intelligence for demand forecasting. Africa's mini-grid buildout, especially in Nigeria and Kenya, creates greenfield opportunities for edge-native analytics. These developments solidify geographic diversification of the utility and energy analytics market.

1. Oracle Corporation
2. IBM Corporation
3. Siemens AG
4. Schneider Electric SE
5. ABB Ltd.
6. General Electric Company
7. SAS Institute Inc.
8. SAP SE
9. Capgemini SE
10. Teradata Corporation
11. Hitachi Energy Ltd.
12. Landis+Gyr AG
13. Itron Inc.
14. AutoGrid Systems Inc.
15. Wipro Ltd.
16. Accenture plc
17. Amazon Web Services Utilities
18. Microsoft Azure Energy
19. Enel X
20. Nexant Inc.
21. OSIsoft (AVEVA)
22. Uptake Technologies
23. Bidgely Inc.
24. Smarter Grid Solutions
25. Energyworx
26. C3.ai Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Mandatory Renewable Mandates and Decarbonisation Spend
  • 4.2.2 AMI 2.0 Roll-out and Edge Analytics Adoption
  • 4.2.3 Wholesale-Price Volatility Driving Load-Forecast Accuracy
  • 4.2.4 Cloud-Native Utility-Analytics Frameworks
  • 4.2.5 AI-Driven Planning for Data-Centre Electricity Surge
  • 4.2.6 Digital-Twin Adoption for Transformer Fleet Optimization
• 4.3 Market Restraints
  • 4.3.1 Legacy OT-IT Integration Costs and Data Silos
  • 4.3.2 Data-Science Talent Shortage in Power Domain
  • 4.3.3 Cyber-Security and Data-Sovereignty Concerns
  • 4.3.4 Transformer Supply-Chain Bottlenecks Limiting Sensor Retrofits
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Impact of Macroeconomic Factors on the Market
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Suppliers
  • 4.8.2 Bargaining Power of Buyers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitute Products
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Deployment
  • 5.1.1 On-Premise
  • 5.1.2 Cloud
  • 5.1.3 Hybrid
• 5.2 By Component
  • 5.2.1 Software
  • 5.2.2 Services
  • 5.2.3 Hardware / Edge Devices
• 5.3 By Application
  • 5.3.1 Meter Operations and Data Management
  • 5.3.2 Load and Generation Forecasting
  • 5.3.3 Demand Response and Flexibility
  • 5.3.4 Distribution Planning and Optimisation
  • 5.3.5 Asset Performance Management
  • 5.3.6 Outage Management and Reliability
• 5.4 By Utility Type
  • 5.4.1 Electric
  • 5.4.2 Gas
  • 5.4.3 Water
  • 5.4.4 Multi-Utility
• 5.5 By End-User
  • 5.5.1 Generation Utilities
  • 5.5.2 Transmission and Distribution Operators
  • 5.5.3 Retail Energy Suppliers
  • 5.5.4 Independent Power Producers
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 United Kingdom
    • 5.6.3.2 Germany
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Nordics
    • 5.6.3.7 Russia
    • 5.6.3.8 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Australia and New Zealand
    • 5.6.4.6 ASEAN
    • 5.6.4.7 Rest of Asia-Pacific
  • 5.6.5 Middle East
    • 5.6.5.1 Saudi Arabia
    • 5.6.5.2 United Arab Emirates
    • 5.6.5.3 Israel
    • 5.6.5.4 Turkey
    • 5.6.5.5 Rest of Middle East
  • 5.6.6 Africa
    • 5.6.6.1 South Africa
    • 5.6.6.2 Egypt
    • 5.6.6.3 Nigeria
    • 5.6.6.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves and Funding
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for Key Companies, Products and Services, and Recent Developments)
  • 6.4.1 Oracle Corporation
  • 6.4.2 IBM Corporation
  • 6.4.3 Siemens AG
  • 6.4.4 Schneider Electric SE
  • 6.4.5 ABB Ltd.
  • 6.4.6 General Electric Company
  • 6.4.7 SAS Institute Inc.
  • 6.4.8 SAP SE
  • 6.4.9 Capgemini SE
  • 6.4.10 Teradata Corporation
  • 6.4.11 Hitachi Energy Ltd.
  • 6.4.12 Landis+Gyr AG
  • 6.4.13 Itron Inc.
  • 6.4.14 AutoGrid Systems Inc.
  • 6.4.15 Wipro Ltd.
  • 6.4.16 Accenture plc
  • 6.4.17 Amazon Web Services Utilities
  • 6.4.18 Microsoft Azure Energy
  • 6.4.19 Enel X
  • 6.4.20 Nexant Inc.
  • 6.4.21 OSIsoft (AVEVA)
  • 6.4.22 Uptake Technologies
  • 6.4.23 Bidgely Inc.
  • 6.4.24 Smarter Grid Solutions
  • 6.4.25 Energyworx
  • 6.4.26 C3.ai Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment
• 7.2 AI-Driven Predictive Maintenance for DER-Rich Grids
• 7.3 Grid-Edge Analytics Marketplaces
• 7.4 Green Hydrogen and Storage Optimization Analytics