스마트 그리드 데이터 분석 시장 : 솔루션별, 전개별, 용도별, 최종 용도 업종별, 지역별(2025-2033년)

The global smart grid data analytics market size reached USD 2.7 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 6.2 Billion by 2033, exhibiting a growth rate (CAGR) of 9.02% during 2025-2033.

Smart grid data analytics refer to systematic computational solutions used to analyze large amounts of data produced from smart grid systems. They collect valuable information generated by the equipment and help in predicting the load for the future. They consist of forecasting, predictive, prescriptive analytics and optimization. Smart grid data analytics are widely used in demand response, grid optimization and advanced metering infrastructure analysis. They aid in improving grid reliability, efficient energy transmission, and security, lowering management costs, and delivering personalized energy services to consumers and better integration of renewable energy. These solutions are deployed to gain predictive analysis, establish better decision support systems and optimize grid efficiency.

Smart Grid Data Analytics Market Trends:

The increasing product demand by utility service providers across the globe is creating a positive outlook for the market growth. Smart grid data analytics are set up at the end of utility providers to help them in analyzing load behavior, optimizing grid operations, decreasing power cuts and making better decisions. In line with this, the widespread adoption of smart meters by consumers to manage their energy consumption is favoring the market growth. Apart from this, various technological advancements, such as the integration of the internet of things (IoT) that aid in reliable and efficient energy transmission and enhancing security, is providing an impetus to the market growth. Additionally, the introduction of advanced metering infrastructure (AMI) that reduces utility costs and offers convenience to the customer by remotely reading meters and generating more accurate bills faster is positively impacting the market growth. Other factors, including extensive research and development (R&D) activities, growing smart city developments and various government initiatives for the use of renewable sources of power generation, are anticipated to drive the market further toward growth.

Key Market Segmentation:

Breakup by Solution:

• Transmission and Distribution (T&D) Network
• Metering
• Customer Analytics

Breakup by Deployment:

• Cloud-based
• On-premises

Breakup by Application:

• Advanced Metering Infrastructure Analytics
• Demand Response Analysis
• Grid Optimization Analysis
• Others

Breakup by End Use Vertical:

• Private Sector (SMEs and Large Enterprises)
• Public Sector

Breakup by Region:

• North America
• United States
• Canada
• Asia-Pacific
• China
• Japan
• India
• South Korea
• Australia
• Indonesia
• Others
• Europe
• Germany
• France
• United Kingdom
• Italy
• Spain
• Russia
• Others
• Latin America
• Brazil
• Mexico
• Others
• Middle East and Africa

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being Accenture plc, AutoGrid Systems Inc., General Electric Company, International Business Machines Corporation, Itron Inc., Landis+Gyr (Toshiba Corporation), SAP SE, SAS Institute Inc., Schneider Electric SE, Sensus USA Inc. (Xylem Inc.), Siemens AG and Tantalus System Corporation.

Key Questions Answered in This Report

• 1.What was the size of the global smart grid data analytics market in 2024?
• 2.What is the expected growth rate of the global smart grid data analytics market during 2025-2033?
• 3.What has been the impact of COVID-19 on the global smart grid data analytics market?
• 4.What are the key factors driving the global smart grid data analytics market?
• 5.What is the breakup of the global smart grid data analytics market based on the solution?
• 6.What is the breakup of the global smart grid data analytics market based on the deployment?
• 7.What is the breakup of the global smart grid data analytics market based on the end-use vertical?
• 8.What are the key regions in the global smart grid data analytics market?
• 9.Who are the key players/companies in the global smart grid data analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Smart Grid Data Analytics Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Forecast

6 Market Breakup by Solution

• 6.1 Transmission and Distribution (T&D) Network
  • 6.1.1 Market Trends
  • 6.1.2 Market Forecast
• 6.2 Metering
  • 6.2.1 Market Trends
  • 6.2.2 Market Forecast
• 6.3 Customer Analytics
  • 6.3.1 Market Trends
  • 6.3.2 Market Forecast

7 Market Breakup by Deployment

• 7.1 Cloud-based
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 On-premises
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast

8 Market Breakup by Application

• 8.1 Advanced Metering Infrastructure Analytics
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Demand Response Analysis
  • 8.2.1 Market Trends
  • 8.2.2 Market Forecast
• 8.3 Grid Optimization Analysis
  • 8.3.1 Market Trends
  • 8.3.2 Market Forecast
• 8.4 Others
  • 8.4.1 Market Trends
  • 8.4.2 Market Forecast

9 Market Breakup by End Use Vertical

• 9.1 Private Sector (SMEs and Large Enterprises)
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 Public Sector
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast

10 Market Breakup by Region

• 10.1 North America
  • 10.1.1 United States
    • 10.1.1.1 Market Trends
    • 10.1.1.2 Market Forecast
  • 10.1.2 Canada
    • 10.1.2.1 Market Trends
    • 10.1.2.2 Market Forecast
• 10.2 Asia-Pacific
  • 10.2.1 China
    • 10.2.1.1 Market Trends
    • 10.2.1.2 Market Forecast
  • 10.2.2 Japan
    • 10.2.2.1 Market Trends
    • 10.2.2.2 Market Forecast
  • 10.2.3 India
    • 10.2.3.1 Market Trends
    • 10.2.3.2 Market Forecast
  • 10.2.4 South Korea
    • 10.2.4.1 Market Trends
    • 10.2.4.2 Market Forecast
  • 10.2.5 Australia
    • 10.2.5.1 Market Trends
    • 10.2.5.2 Market Forecast
  • 10.2.6 Indonesia
    • 10.2.6.1 Market Trends
    • 10.2.6.2 Market Forecast
  • 10.2.7 Others
    • 10.2.7.1 Market Trends
    • 10.2.7.2 Market Forecast
• 10.3 Europe
  • 10.3.1 Germany
    • 10.3.1.1 Market Trends
    • 10.3.1.2 Market Forecast
  • 10.3.2 France
    • 10.3.2.1 Market Trends
    • 10.3.2.2 Market Forecast
  • 10.3.3 United Kingdom
    • 10.3.3.1 Market Trends
    • 10.3.3.2 Market Forecast
  • 10.3.4 Italy
    • 10.3.4.1 Market Trends
    • 10.3.4.2 Market Forecast
  • 10.3.5 Spain
    • 10.3.5.1 Market Trends
    • 10.3.5.2 Market Forecast
  • 10.3.6 Russia
    • 10.3.6.1 Market Trends
    • 10.3.6.2 Market Forecast
  • 10.3.7 Others
    • 10.3.7.1 Market Trends
    • 10.3.7.2 Market Forecast
• 10.4 Latin America
  • 10.4.1 Brazil
    • 10.4.1.1 Market Trends
    • 10.4.1.2 Market Forecast
  • 10.4.2 Mexico
    • 10.4.2.1 Market Trends
    • 10.4.2.2 Market Forecast
  • 10.4.3 Others
    • 10.4.3.1 Market Trends
    • 10.4.3.2 Market Forecast
• 10.5 Middle East and Africa
  • 10.5.1 Market Trends
  • 10.5.2 Market Breakup by Country
  • 10.5.3 Market Forecast

11 SWOT Analysis

• 11.1 Overview
• 11.2 Strengths
• 11.3 Weaknesses
• 11.4 Opportunities
• 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

• 13.1 Overview
• 13.2 Bargaining Power of Buyers
• 13.3 Bargaining Power of Suppliers
• 13.4 Degree of Competition
• 13.5 Threat of New Entrants
• 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

• 15.1 Market Structure
• 15.2 Key Players
• 15.3 Profiles of Key Players
  • 15.3.1 Accenture plc
    • 15.3.1.1 Company Overview
    • 15.3.1.2 Product Portfolio
    • 15.3.1.3 Financials
    • 15.3.1.4 SWOT Analysis
  • 15.3.2 AutoGrid Systems Inc.
    • 15.3.2.1 Company Overview
    • 15.3.2.2 Product Portfolio
  • 15.3.3 General Electric Company
    • 15.3.3.1 Company Overview
    • 15.3.3.2 Product Portfolio
    • 15.3.3.3 Financials
    • 15.3.3.4 SWOT Analysis
  • 15.3.4 International Business Machines Corporation
    • 15.3.4.1 Company Overview
    • 15.3.4.2 Product Portfolio
    • 15.3.4.3 Financials
    • 15.3.4.4 SWOT Analysis
  • 15.3.5 Itron Inc.
    • 15.3.5.1 Company Overview
    • 15.3.5.2 Product Portfolio
    • 15.3.5.3 Financials
    • 15.3.5.4 SWOT Analysis
  • 15.3.6 Landis+Gyr (Toshiba Corporation)
    • 15.3.6.1 Company Overview
    • 15.3.6.2 Product Portfolio
    • 15.3.6.3 Financials
  • 15.3.7 SAP SE
    • 15.3.7.1 Company Overview
    • 15.3.7.2 Product Portfolio
    • 15.3.7.3 Financials
    • 15.3.7.4 SWOT Analysis
  • 15.3.8 SAS Institute Inc.
    • 15.3.8.1 Company Overview
    • 15.3.8.2 Product Portfolio
    • 15.3.8.3 SWOT Analysis
  • 15.3.9 Schneider Electric SE
    • 15.3.9.1 Company Overview
    • 15.3.9.2 Product Portfolio
    • 15.3.9.3 Financials
    • 15.3.9.4 SWOT Analysis
  • 15.3.10 Sensus USA Inc. (Xylem Inc.)
    • 15.3.10.1 Company Overview
    • 15.3.10.2 Product Portfolio
    • 15.3.10.3 SWOT Analysis
  • 15.3.11 Siemens AG
    • 15.3.11.1 Company Overview
    • 15.3.11.2 Product Portfolio
    • 15.3.11.3 Financials
    • 15.3.11.4 SWOT Analysis
  • 15.3.12 Tantalus System Corporation
    • 15.3.12.1 Company Overview
    • 15.3.12.2 Product Portfolio