스마트 그리드 분석 시장 기회, 성장 촉진요인, 산업 동향 분석 및 예측(2025-2034년)

The Global Smart Grid Analytics Market was valued at USD 8.1 billion in 2024 and is estimated to grow at a CAGR of 5.3% to reach USD 13.5 billion by 2034. This steady growth is driven by the rising adoption of advanced smart grid technologies, the global push toward decarbonization, and the increasing demand for reliable and intelligent energy infrastructure. Utilities are placing greater emphasis on analytics to manage the rising complexities of modern power networks and to integrate renewable energy efficiently. As energy consumption grows and operational demands become more dynamic, utilities are adopting smart grid analytics to enhance grid stability, monitor real-time usage, and optimize asset performance. The rapid expansion of IoT and cloud technologies has made analytics solutions more accessible and scalable for utilities of all sizes. Players in the market are actively forming partnerships, executing acquisitions, and entering collaborations to boost their digital capabilities and broaden their reach.

The shift toward data-centric energy management systems also enables faster fault detection, predictive maintenance, and better customer satisfaction-factors crucial for grid modernization. By leveraging real-time data analytics, utilities can identify anomalies in grid behavior before they escalate into critical failures, minimizing downtime and service disruptions. These advanced systems empower energy providers to proactively maintain equipment, extend asset lifespans, and optimize load balancing across the network. In turn, this enhances the overall reliability and efficiency of power distribution.

The services segment is projected to reach USD 4.5 billion by 2034. This growth is being fueled by increasing demand for expert guidance in system implementation, consulting, and ongoing support. As digital transformation accelerates across the energy sector, organizations are increasingly turning to managed services to handle new technologies including artificial intelligence, cloud, and IoT. These services ensure seamless integration and sustained optimization, particularly in securing operations and meeting evolving regulatory standards.

AMI analytics segment is expected to grow at a CAGR of 5.2% through 2034, largely due to its benefits in improving operational efficiency, managing distributed energy resources, and supporting real-time decision-making. By leveraging detailed data from smart meters, utilities can fine-tune energy distribution, reduce downtime, and boost grid reliability. The rise in clean energy adoption and a stronger focus on sustainability continues to strengthen demand for AMI analytics, especially as regulatory bodies push for smarter energy management and customer engagement tools expand.

United States Smart Grid Analytics Market was valued at USD 2.3 billion in 2024. This momentum stems from rising investment in infrastructure upgrades, widespread deployment of smart grid solutions, and the drive to integrate renewables. Advanced analytics are becoming essential to monitor complex grid activity, enhance system efficiency, and maintain grid security in real time. Government-backed modernization initiatives and the growing use of digital tools are further accelerating the US market's growth.

Key industry leaders include Siemens, Schneider Electric, Honeywell, and Itron, all playing a significant role in shaping the future of grid analytics. Top companies in the smart grid analytics market are reinforcing their presence through targeted acquisitions, technology investments, and strategic alliances. Many are investing in AI-powered analytics platforms and scalable cloud-based systems to help utilities achieve real-time visibility, predictive insights, and operational automation. Collaborations with utility providers enable tailored solutions that align with local regulatory demands and infrastructure challenges. Firms are also enhancing cybersecurity features and promoting interoperable systems to secure data across grid networks. Global expansion efforts are underway, with localized deployments in emerging markets to meet the growing demand for smart infrastructure.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market definitions
• 1.2 Base estimates & calculations
• 1.3 Forecast calculation
• 1.4 Data sources
  • 1.4.1 Primary
  • 1.4.2 Secondary
    • 1.4.2.1 Paid
    • 1.4.2.2 Public

Chapter 2 Executive Summary

• 2.1 Industry synopsis, 2021 - 2034

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Regulatory landscape
• 3.3 Industry impact forces
  • 3.3.1 Growth drivers
  • 3.3.2 Industry pitfalls & challenges
• 3.4 Growth potential analysis
• 3.5 Porter's analysis
  • 3.5.1 Bargaining power of suppliers
  • 3.5.2 Bargaining power of buyers
  • 3.5.3 Threat of new entrants
  • 3.5.4 Threat of substitutes
• 3.6 PESTEL analysis

Chapter 4 Competitive landscape, 2024

• 4.1 Strategic dashboard
• 4.2 Innovation & sustainability landscape

Chapter 5 Market Size and Forecast, By Component, 2021 - 2034 (USD Million)

• 5.1 Key trends
• 5.2 Software
• 5.3 Services

Chapter 6 Market Size and Forecast, By Application, 2021 - 2034 (USD Million)

• 6.1 Key trends
• 6.2 AMI analytics
• 6.3 Load forecasting and demand response
• 6.4 Grid monitoring
• 6.5 Predictive maintenance
• 6.6 Others

Chapter 7 Market Size and Forecast, By Type, 2021 - 2034 (USD Million)

• 7.1 Key trends
• 7.2 Descriptive analytics
• 7.3 Diagnostic analytics
• 7.4 Predictive analytics
• 7.5 Prescriptive analytics

Chapter 8 Market Size and Forecast, By Region, 2021 - 2034 (USD Million)

• 8.1 Key trends
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
  • 8.2.3 Mexico
• 8.3 Europe
  • 8.3.1 UK
  • 8.3.2 France
  • 8.3.3 Germany
  • 8.3.4 Spain
  • 8.3.5 Italy
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 Australia
  • 8.4.3 Japan
  • 8.4.4 South Korea
  • 8.4.5 India
• 8.5 Middle East & Africa
  • 8.5.1 Saudi Arabia
  • 8.5.2 UAE
  • 8.5.3 South Africa
• 8.6 Latin America
  • 8.6.1 Brazil
  • 8.6.2 Chile

Chapter 9 Company Profiles

• 9.1 Accenture
• 9.2 Anritsu
• 9.3 Capgemini
• 9.4 Ericsson
• 9.5 GE Vernova
• 9.6 Hive Power
• 9.7 Honeywell
• 9.8 IBM
• 9.9 Itron
• 9.10 Kamstrup
• 9.11 Landis + GYR
• 9.12 Oracle
• 9.13 SAP
• 9.14 Schneider Electric
• 9.15 Sentient Energy
• 9.16 Siemens