Smart Grid Data Analytics Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028

Smart Grid Data Analytics Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028

Market Overview:

The global smart grid data analytics market size reached US$ 2.2 Billion in 2022. Looking forward, IMARC Group expects the market to reach a value of US$ 4.3 Billion by 2028, exhibiting a growth rate (CAGR) of 10.87% during 2023-2028.

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:

IMARC Group provides an analysis of the key trends in each sub-segment of the global smart grid data analytics market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on solution, deployment, application and end use vertical.

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:


What was the size of the global smart grid data analytics market in 2022?
What is the expected growth rate of the global smart grid data analytics market during 2023-2028?
What has been the impact of COVID-19 on the global smart grid data analytics market?
What are the key factors driving the global smart grid data analytics market?
What is the breakup of the global smart grid data analytics market based on the solution?
What is the breakup of the global smart grid data analytics market based on the deployment?
What is the breakup of the global smart grid data analytics market based on the end-use vertical?
What are the key regions in the global smart grid data analytics market?
Who are the key players/companies in the global smart grid data analytics market?


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

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