
With the fast development of smart grids and smart grid related equipment and solutions, the major concern for the power utilities is the management of data generated by these smart grid applications. With increase in the smart grid deployments, smart grid data analytics will become essential and vital to manage the large chunks of data.
Highlights
The global Smart Grid Data Analytics market was valued at US$ 1341.6 million in 2022 and is anticipated to reach US$ 4006 million by 2029, witnessing a CAGR of 20.0% during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Smart Grid Data Analytics is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Smart Grid Data Analytics is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Smart Grid Data Analytics in Residential Sector is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Smart Grid Data Analytics include Itron, Xylem Inc, IBM, Microsoft, SAP, Verizon, Infosys, Accenture and AutoGrid, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Smart Grid Data Analytics, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Smart Grid Data Analytics.
The Smart Grid Data Analytics market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Smart Grid Data Analytics market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Smart Grid Data Analytics companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Itron
Xylem Inc
IBM
Microsoft
SAP
Verizon
Infosys
Accenture
AutoGrid
Segment by Type
Software
Hardware
Service
Segment by Application
Residential Sector
Commercial Sector
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Smart Grid Data Analytics companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Smart Grid Data Analytics Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Software
1.2.3 Hardware
1.2.4 Service
1.3 Market by Application
1.3.1 Global Smart Grid Data Analytics Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Residential Sector
1.3.3 Commercial Sector
1.3.4 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Smart Grid Data Analytics Market Perspective (2018-2029)
2.2 Smart Grid Data Analytics Growth Trends by Region
2.2.1 Global Smart Grid Data Analytics Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Smart Grid Data Analytics Historic Market Size by Region (2018-2023)
2.2.3 Smart Grid Data Analytics Forecasted Market Size by Region (2024-2029)
2.3 Smart Grid Data Analytics Market Dynamics
2.3.1 Smart Grid Data Analytics Industry Trends
2.3.2 Smart Grid Data Analytics Market Drivers
2.3.3 Smart Grid Data Analytics Market Challenges
2.3.4 Smart Grid Data Analytics Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Smart Grid Data Analytics Players by Revenue
3.1.1 Global Top Smart Grid Data Analytics Players by Revenue (2018-2023)
3.1.2 Global Smart Grid Data Analytics Revenue Market Share by Players (2018-2023)
3.2 Global Smart Grid Data Analytics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Smart Grid Data Analytics Revenue
3.4 Global Smart Grid Data Analytics Market Concentration Ratio
3.4.1 Global Smart Grid Data Analytics Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Smart Grid Data Analytics Revenue in 2022
3.5 Smart Grid Data Analytics Key Players Head office and Area Served
3.6 Key Players Smart Grid Data Analytics Product Solution and Service
3.7 Date of Enter into Smart Grid Data Analytics Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Smart Grid Data Analytics Breakdown Data by Type
4.1 Global Smart Grid Data Analytics Historic Market Size by Type (2018-2023)
4.2 Global Smart Grid Data Analytics Forecasted Market Size by Type (2024-2029)
5 Smart Grid Data Analytics Breakdown Data by Application
5.1 Global Smart Grid Data Analytics Historic Market Size by Application (2018-2023)
5.2 Global Smart Grid Data Analytics Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Smart Grid Data Analytics Market Size (2018-2029)
6.2 North America Smart Grid Data Analytics Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Smart Grid Data Analytics Market Size by Country (2018-2023)
6.4 North America Smart Grid Data Analytics Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Smart Grid Data Analytics Market Size (2018-2029)
7.2 Europe Smart Grid Data Analytics Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Smart Grid Data Analytics Market Size by Country (2018-2023)
7.4 Europe Smart Grid Data Analytics Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Smart Grid Data Analytics Market Size (2018-2029)
8.2 Asia-Pacific Smart Grid Data Analytics Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Smart Grid Data Analytics Market Size by Region (2018-2023)
8.4 Asia-Pacific Smart Grid Data Analytics Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Smart Grid Data Analytics Market Size (2018-2029)
9.2 Latin America Smart Grid Data Analytics Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Smart Grid Data Analytics Market Size by Country (2018-2023)
9.4 Latin America Smart Grid Data Analytics Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Smart Grid Data Analytics Market Size (2018-2029)
10.2 Middle East & Africa Smart Grid Data Analytics Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Smart Grid Data Analytics Market Size by Country (2018-2023)
10.4 Middle East & Africa Smart Grid Data Analytics Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Itron
11.1.1 Itron Company Detail
11.1.2 Itron Business Overview
11.1.3 Itron Smart Grid Data Analytics Introduction
11.1.4 Itron Revenue in Smart Grid Data Analytics Business (2018-2023)
11.1.5 Itron Recent Development
11.2 Xylem Inc
11.2.1 Xylem Inc Company Detail
11.2.2 Xylem Inc Business Overview
11.2.3 Xylem Inc Smart Grid Data Analytics Introduction
11.2.4 Xylem Inc Revenue in Smart Grid Data Analytics Business (2018-2023)
11.2.5 Xylem Inc Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Smart Grid Data Analytics Introduction
11.3.4 IBM Revenue in Smart Grid Data Analytics Business (2018-2023)
11.3.5 IBM Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Smart Grid Data Analytics Introduction
11.4.4 Microsoft Revenue in Smart Grid Data Analytics Business (2018-2023)
11.4.5 Microsoft Recent Development
11.5 SAP
11.5.1 SAP Company Detail
11.5.2 SAP Business Overview
11.5.3 SAP Smart Grid Data Analytics Introduction
11.5.4 SAP Revenue in Smart Grid Data Analytics Business (2018-2023)
11.5.5 SAP Recent Development
11.6 Verizon
11.6.1 Verizon Company Detail
11.6.2 Verizon Business Overview
11.6.3 Verizon Smart Grid Data Analytics Introduction
11.6.4 Verizon Revenue in Smart Grid Data Analytics Business (2018-2023)
11.6.5 Verizon Recent Development
11.7 Infosys
11.7.1 Infosys Company Detail
11.7.2 Infosys Business Overview
11.7.3 Infosys Smart Grid Data Analytics Introduction
11.7.4 Infosys Revenue in Smart Grid Data Analytics Business (2018-2023)
11.7.5 Infosys Recent Development
11.8 Accenture
11.8.1 Accenture Company Detail
11.8.2 Accenture Business Overview
11.8.3 Accenture Smart Grid Data Analytics Introduction
11.8.4 Accenture Revenue in Smart Grid Data Analytics Business (2018-2023)
11.8.5 Accenture Recent Development
11.9 AutoGrid
11.9.1 AutoGrid Company Detail
11.9.2 AutoGrid Business Overview
11.9.3 AutoGrid Smart Grid Data Analytics Introduction
11.9.4 AutoGrid Revenue in Smart Grid Data Analytics Business (2018-2023)
11.9.5 AutoGrid Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Itron
Xylem Inc
IBM
Microsoft
SAP
Verizon
Infosys
Accenture
AutoGrid
Ìý
Ìý
*If Applicable.
