에너지 IT, OT 및 애널리틱스(ADMS, AMS, CIS, CRM, DERMS, EMS, GIS, MDMS, MWMS, OMS, SCADA, 애널리틱스) : 세계 시장 분석, 예측(2025-2034년)

As electric utilities pursue digital transformation, the convergence of enterprise IT, operational technology (OT), and energy analytics is reshaping how they manage infrastructure, engage customers, and plan for the future. This Guidehouse Research report provides a comprehensive analysis of the global market for 12 core IT and OT systems-including ADMS, DERMS, CIS, and SCADA-and 14 energy analytics applications. It explores how utilities are leveraging these technologies to improve grid reliability, optimize operations, and respond to evolving customer expectations.

The report examines key market drivers such as the growth of distributed energy resources, rising electricity costs, and the emergence of second-generation smart meters with embedded edge analytics. It also highlights the shift toward modular, interoperable software architectures and flexible pricing models, as well as the growing importance of customer satisfaction and regulatory alignment. Barriers such as data silos, cybersecurity concerns, and legacy system limitations are also addressed, alongside strategies for overcoming them.

The report includes 10-year global forecasts segmented by five regions, 12 IT and OT systems, 14 analytics applications, and four spending categories: software license fees, implementation and integration services, annual maintenance, and cloud and software-as-a-service fees.

Table of Contents

1. Executive Summary

• 1.1 Introduction
• 1.2 Report Scope
• 1.3 Global Forecast

2. Market Trends

• 2.1 Introduction
• 2.2 Energy IT and OT Overview
• 2.3 Energy Analytics Overview
• 2.4 Market Drivers
  • 2.4.1 Evolution of Software Architectures
  • 2.4.2 Growth in DER
  • 2.4.3 Peak Demand
  • 2.4.4 Escalating Electricity Costs and Bills
  • 2.4.5 Customer Satisfaction
  • 2.4.6 Value Stacking
  • 2.4.7 Next-Generation Smart Metering
  • 2.4.8 Legacy CIS Limitations
• 2.5 Market Barriers
  • 2.5.1 Cost and Complexity
  • 2.5.2 Competitive Market
  • 2.5.3 Existing Data Silos
  • 2.5.4 Poor Data Quality
  • 2.5.5 Capitalization Restrictions
  • 2.5.6 Cybersecurity
  • 2.5.7 Consumer Privacy
  • 2.5.8 Communications Requirements

3. Industry Value Chain

• 3.1 Competitive Landscape
  • 3.1.1 Enterprise IT
  • 3.1.2 Enterprise OT
  • 3.1.3 Energy Analytics
• 3.2 Business Model Evolution
  • 3.2.1 End-to-End Platform Plays
  • 3.2.2 Data Unification
  • 3.2.3 Pricing Model Innovations
  • 3.2.4 Next-Generation AMI
  • 3.2.5 TOU and Complex Rates
  • 3.2.6 Cloud and SaaS
    • 3.2.6.1 Eroding Regulatory Barriers
  • 3.2.7 New Customer Markets and Segments

4. Market Forecasts

• 4.1 Introduction
• 4.2 Forecast Methodology
• 4.3 Global Forecast
• 4.4 Regional Forecasts
  • 4.4.1 North America
  • 4.4.2 Europe
  • 4.4.3 Asia-Pacific
  • 4.4.4 Latin America
  • 4.4.5 Middle East & Africa

5. Conclusions and Recommendations

• 5.1 Three Big Takeaways
• 5.2 Recommendations

6. Acronym and Abbreviation List

7. Table of Contents

8. Table of Charts and Figures

9. Scope, Sources and Methodology & Notes