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The global smart grid analytics market size reached a value of more than USD 1.88 billion in 2022. During the forecast period of between 2023 and 2028, the market is expected to grow at a CAGR of 3.75%.
Smart grid analytics is the use of advanced analytics approaches, such as forecasting, optimisation, and predictive and prescriptive analytics for data produced in grids. They gather useful data produced by the machinery and aid in estimating the load in the future. These techniques are used to improve decision-making processes, acquire predictive analysis, and enhance grid efficiency.
Based on component, the market is segmented into solution and services. Solution is further divided into transmission and distribution (T&D) network, metering, and customer analytics, among others whereas services are sub-divided into professional services and support and maintenance services. On the basis of deployment mode, the market is divided into on-premises and on-demand (cloud based).
The market on the basis of application can be segmented into advanced metering infrastructure analysis, demand response analysis, and grid optimisation analysis. Based on end user, the market is bifurcated into private sector and public sector. The regional markets for smart grid analytics can be divided into North America, Europe, the Asia Pacific, Latin America, the Middle East and Africa.
The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the global smart grid analytics market, covering their competitive landscape and latest developments like mergers, acquisitions, investments, and expansion plans.
During the forecast period, the global smart grid analytics market is expected to be dominated by the on-demand cloud-based deployment mode. In comparison to on-premises solutions, cloud-based solutions are less expensive, and offer greater scalability and flexibility. Due of this, cloud deployment is preferred over on-premises implementation.
Additionally, during the past several years, there has been a significant increase in the usage of cloud-based services across a variety of applications. As a result, the majority of customers favour cloud-based solutions. With improvements in security of on-demand cloud-based deployment and faster implementation periods, it is anticipated that the segment will continue to have a leading position during the forecast period.
In the global smart grid analytics market, Asia Pacific is anticipated to be one of the leading regions. Population growth in nations like China and India, has boosted the demand for residential infrastructure and electricity use, driving the demand for electricity, potentially, opening up the market for smart grid analytics. It is also anticipated that the development of smart cities will increase the market demand.
North America is anticipated to experience significant adoption of smart grid technology and analytics, due to significant investments in new grid developments and smart city efforts. The region has favourable government policies in place to support the production of sustainable energy. The outlook for North America is also anticipated to be influenced by the rising demand for energy-efficient power generation.
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SAP SE, founded in 1972, is a German multinational software company which creates enterprise applications to handle client interactions and business processes. The company provides training services, develops business software, and e-business and enterprise management software, and consults on organisational usage of its applications and software.
Oracle Corporation, a leading computer technology company established in 1977 with its headquarters in the United States, is well recognised for its software solutions like Java. Oracle provides its cloud-engineering services, hardware, systems, licences, and services through its four primary business sectors: Cloud, Licencing, Hardware, and Services.
Siemens AG, a global innovator focussing on automation, digitalisation, and electrification for the process and manufacturing industries, was established in 1847 and has its headquarters in Germany. It is a leader in intelligent infrastructure, power generation and distribution, and distributed energy systems.
Other market players include Accenture Plc, IBM Corporation, Dell Technologies Inc., and Capgemini SA, among others.
REPORT FEATURES | DETAILS |
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Base Year | 2022 |
Historical Period | 2018-2022 |
Forecast Period | 2023-2028 |
Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Component |
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Breakup by Deployment Mode |
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Breakup by Application |
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Breakup by End User |
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Breakup by Region |
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Market Dynamics |
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Competitive Landscape |
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Companies Covered |
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*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Smart Grid Analytics Market Analysis
8.1 Key Industry Highlights
8.2 Global Smart Grid Analytics Historical Market (2018-2022)
8.3 Global Smart Grid Analytics Market Forecast (2023-2028)
8.4 Global Smart Grid Analytics Market by Component
8.4.1 Solution
8.4.1.1 Market Share
8.4.1.2 Historical Trend (2018-2022)
8.4.1.3 Forecast Trend (2023-2028)
8.4.1.4 Breakup by Type
8.4.1.4.1 Transmission and Distribution (T&D) Network
8.4.1.4.2 Metering
8.4.1.4.3 Customer Analytics
8.4.1.4.4 Others
8.4.2 Services
8.4.2.1 Market Share
8.4.2.2 Historical Trend (2018-2022)
8.4.2.3 Forecast Trend (2023-2028)
8.4.2.4 Breakup by Type
8.4.2.4.1 Professional Services
8.4.2.4.2 Support and Maintenance Services
8.5 Global Smart Grid Analytics Market by Deployment Mode
8.5.1 On-Premises
8.5.1.1 Market Share
8.5.1.2 Historical Trend (2018-2022)
8.5.1.3 Forecast Trend (2023-2028)
8.5.2 On-Demand (Cloud Based)
8.5.2.1 Market Share
8.5.2.2 Historical Trend (2018-2022)
8.5.2.3 Forecast Trend (2023-2028)
8.6 Global Smart Grid Analytics Market by Application
8.6.1 Advanced Metering Infrastructure Analysis
8.6.1.1 Market Share
8.6.1.2 Historical Trend (2018-2022)
8.6.1.3 Forecast Trend (2023-2028)
8.6.2 Demand Response Analysis
8.6.2.1 Market Share
8.6.2.2 Historical Trend (2018-2022)
8.6.2.3 Forecast Trend (2023-2028)
8.6.3 Grid Optimisation Analysis
8.6.3.1 Market Share
8.6.3.2 Historical Trend (2018-2022)
8.6.3.3 Forecast Trend (2023-2028)
8.7 Global Smart Grid Analytics Market by End User
8.7.1 Private Sector
8.7.1.1 Market Share
8.7.1.2 Historical Trend (2018-2022)
8.7.1.3 Forecast Trend (2023-2028)
8.7.2 Public Sector
8.7.2.1 Market Share
8.7.2.2 Historical Trend (2018-2022)
8.7.2.3 Forecast Trend (2023-2028)
8.8 Global Smart Grid Analytics Market by Region
8.8.1 North America
8.8.1.1 Market Share
8.8.1.2 Historical Trend (2018-2022)
8.8.1.3 Forecast Trend (2023-2028)
8.8.2 Europe
8.8.2.1 Market Share
8.8.2.2 Historical Trend (2018-2022)
8.8.2.3 Forecast Trend (2023-2028)
8.8.3 Asia Pacific
8.8.3.1 Market Share
8.8.3.2 Historical Trend (2018-2022)
8.8.3.3 Forecast Trend (2023-2028)
8.8.4 Latin America
8.8.4.1 Market Share
8.8.4.2 Historical Trend (2018-2022)
8.8.4.3 Forecast Trend (2023-2028)
8.8.5 Middle East and Africa
8.8.5.1 Market Share
8.8.5.2 Historical Trend (2018-2022)
8.8.5.3 Forecast Trend (2023-2028)
9 North America Smart Grid Analytics Market Analysis
9.1 United States of America
9.1.1 Market Share
9.1.2 Historical Trend (2018-2022)
9.1.3 Forecast Trend (2023-2028)
9.2 Canada
9.2.1 Market Share
9.2.2 Historical Trend (2018-2022)
9.2.3 Forecast Trend (2023-2028)
10 Europe Smart Grid Analytics Market Analysis
10.1 United Kingdom
10.1.1 Market Share
10.1.2 Historical Trend (2018-2022)
10.1.3 Forecast Trend (2023-2028)
10.2 Germany
10.2.1 Market Share
10.2.2 Historical Trend (2018-2022)
10.2.3 Forecast Trend (2023-2028)
10.3 France
10.3.1 Market Share
10.3.2 Historical Trend (2018-2022)
10.3.3 Forecast Trend (2023-2028)
10.4 Italy
10.4.1 Market Share
10.4.2 Historical Trend (2018-2022)
10.4.3 Forecast Trend (2023-2028)
10.5 Others
11 Asia Pacific Smart Grid Analytics Market Analysis
11.1 China
11.1.1 Market Share
11.1.2 Historical Trend (2018-2022)
11.1.3 Forecast Trend (2023-2028)
11.2 Japan
11.2.1 Market Share
11.2.2 Historical Trend (2018-2022)
11.2.3 Forecast Trend (2023-2028)
11.3 India
11.3.1 Market Share
11.3.2 Historical Trend (2018-2022)
11.3.3 Forecast Trend (2023-2028)
11.4 ASEAN
11.4.1 Market Share
11.4.2 Historical Trend (2018-2022)
11.4.3 Forecast Trend (2023-2028)
11.5 Australia
11.5.1 Market Share
11.5.2 Historical Trend (2018-2022)
11.5.3 Forecast Trend (2023-2028)
11.6 Others
12 Latin America Smart Grid Analytics Market Analysis
12.1 Brazil
12.1.1 Market Share
12.1.2 Historical Trend (2018-2022)
12.1.3 Forecast Trend (2023-2028)
12.2 Argentina
12.2.1 Market Share
12.2.2 Historical Trend (2018-2022)
12.2.3 Forecast Trend (2023-2028)
12.3 Mexico
12.3.1 Market Share
12.3.2 Historical Trend (2018-2022)
12.3.3 Forecast Trend (2023-2028)
12.4 Others
13 Middle East and Africa Smart Grid Analytics Market Analysis
13.1 Saudi Arabia
13.1.1 Market Share
13.1.2 Historical Trend (2018-2022)
13.1.3 Forecast Trend (2023-2028)
13.2 United Arab Emirates
13.2.1 Market Share
13.2.2 Historical Trend (2018-2022)
13.2.3 Forecast Trend (2023-2028)
13.3 Nigeria
13.3.1 Market Share
13.3.2 Historical Trend (2018-2022)
13.3.3 Forecast Trend (2023-2028)
13.4 South Africa
13.4.1 Market Share
13.4.2 Historical Trend (2018-2022)
13.4.3 Forecast Trend (2023-2028)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Competitive Landscape
15.1 Market Structure
15.2 Company Profiles
15.2.1 SAP SE
15.2.1.1 Company Overview
15.2.1.2 Product Portfolio
15.2.1.3 Demographic Reach and Achievements
15.2.1.4 Certifications
15.2.2 Oracle Corporation
15.2.2.1 Company Overview
15.2.2.2 Product Portfolio
15.2.2.3 Demographic Reach and Achievements
15.2.2.4 Certifications
15.2.3 Siemens AG
15.2.3.1 Company Overview
15.2.3.2 Product Portfolio
15.2.3.3 Demographic Reach and Achievements
15.2.3.4 Certifications
15.2.4 Accenture Plc
15.2.4.1 Company Overview
15.2.4.2 Product Portfolio
15.2.4.3 Demographic Reach and Achievements
15.2.4.4 Certifications
15.2.5 IBM Corporation
15.2.5.1 Company Overview
15.2.5.2 Product Portfolio
15.2.5.3 Demographic Reach and Achievements
15.2.5.4 Certifications
15.2.6 Dell Technologies Inc.
15.2.6.1 Company Overview
15.2.6.2 Product Portfolio
15.2.6.3 Demographic Reach and Achievements
15.2.6.4 Certifications
15.2.7 Capgemini SA
15.2.7.1 Company Overview
15.2.7.2 Product Portfolio
15.2.7.3 Demographic Reach and Achievements
15.2.7.4 Certifications
15.2.8 Others
16 Key Trends and Developments in the Market
List of Figures and Tables
1. Global Smart Grid Analytics Market: Key Industry Highlights, 2017 and 2027
2. Global Smart Grid Analytics Historical Market: Breakup by Component (USD Million), 2018-2022
3. Global Smart Grid Analytics Market Forecast: Breakup by Component (USD Million), 2023-2028
4. Global Smart Grid Analytics Historical Market: Breakup by Deployment Mode (USD Million), 2018-2022
5. Global Smart Grid Analytics Market Forecast: Breakup by Deployment Mode (USD Million), 2023-2028
6. Global Smart Grid Analytics Historical Market: Breakup by Application (USD Million), 2018-2022
7. Global Smart Grid Analytics Market Forecast: Breakup by Application (USD Million), 2023-2028
8. Global Smart Grid Analytics Historical Market: Breakup by End User (USD Million), 2018-2022
9. Global Smart Grid Analytics Market Forecast: Breakup by End User (USD Million), 2023-2028
10. Global Smart Grid Analytics Historical Market: Breakup by Region (USD Million), 2018-2022
11. Global Smart Grid Analytics Market Forecast: Breakup by Region (USD Million), 2023-2028
12. North America Global Smart Grid Analytics Historical Market: Breakup by Country (USD Million), 2018-2022
13. North America Global Smart Grid Analytics Market Forecast: Breakup by Country (USD Million), 2023-2028
14. Europe Global Smart Grid Analytics Historical Market: Breakup by Country (USD Million), 2018-2022
15. Europe Global Smart Grid Analytics Market Forecast: Breakup by Country (USD Million), 2023-2028
16. Asia Pacific Global Smart Grid Analytics Historical Market: Breakup by Country (USD Million), 2018-2022
17. Asia Pacific Global Smart Grid Analytics Market Forecast: Breakup by Country (USD Million), 2023-2028
18. Latin America Global Smart Grid Analytics Historical Market: Breakup by Country (USD Million), 2018-2022
19. Latin America Global Smart Grid Analytics Market Forecast: Breakup by Country (USD Million), 2023-2028
20. Middle East and Africa Global Smart Grid Analytics Historical Market: Breakup by Country (USD Million), 2018-2022
21. Middle East and Africa Global Smart Grid Analytics Market Forecast: Breakup by Country (USD Million), 2023-2028
22. Global Smart Grid Analytics Market Structure
In 2022, the market attained a value of more than USD 1.88 billion.
The market is projected to grow at a CAGR of 3.75% between 2023 and 2028.
The major drivers of the smart grid analytics market include the increasing investments in smart grid projects, favourable policies by various governments, rising demand for energy, and growing demand for cloud-based solutions.
The expanding developments and improved IoT infrastructure and the increasing installation of smart metres are the key industry trends propelling the growth of the market.
The major players in the industry are SAP SE, Oracle Corporation, Siemens AG, Accenture Plc, IBM Corporation, Dell Technologies Inc., and Capgemini SA, among others.
Integrated communications, sensing and measuring technologies, cutting-edge control methodologies, enhanced interfaces, and decision support are some of the components used in a smart grid.
A smart grid uses sensor and microprocessor-based digital technology, enabling two-way flow of electricity and information, as opposed to a traditional grid, which uses electromechanical and solid-state technology, allowing only one-way flow of electricity and information.
The primary applications of smart grid analytics are advanced metering infrastructure analysis, demand response analysis, and grid optimisation analysis.
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