About Smart Grid Data Management
A smart grid generates a lot of data on a daily basis at different points such as smart meters installed in homes, at utilities' end, etc. These massive amounts of generated data are collected, stored, transmitted and analysed to predict electricity demand patterns and consequently, manage the production. The smart grid data management takes into account the entire value chain of data generation, collection, storage and analyses.
Technavio’s analysts forecast the global smart grid data management market to grow at a CAGR of 13.85% during the period 2016-2020.
Covered in this report
The report covers the present scenario and the growth prospects of the global smart grid data management market for 2015-2020.
The market is divided into the following segments based on geography:
• Americas
• APAC
• EMEA
Technavio's report, Global Smart Grid Data Management Market 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
Key vendors
• EMC Corp.
• Oracle Corp.
• SAP SE
• SAS Institute Inc.
• Siemens AG
Other prominent vendors
• Capgemini
• GE energy
• IBM
• Itron
• Schneider
• Teradata
Market driver
• Need for data management
• For a full, detailed list, view our report
Market challenge
• High cost of upgrading smart grids
• For a full, detailed list, view our report
Market trend
• Rapid deployment of smart grids
• For a full, detailed list, view our report
Key questions answered in this report
• What will the market size be in 2020 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?
You can request one free hour of our analyst’s time when you purchase this market report. Details are provided within the report.
PART 01: Executive summary
• Highlights
PART 02: Scope of the report
• Market overview
• Top-vendor offerings
PART 03: Market research methodology
• Research methodology
• Economic indicators
PART 04: Introduction
• Key market highlights
PART 05: Market landscape
• Market overview
• Market size and forecast
• Five forces analysis
PART 06: Market segmentation by application
• Global smart grid data management market by application 2015
• Global smart grid data management market by application 2020
• Global smart grid data management market by application 2015-2020
• Global smart grid data management in power generation and transmission
• Global smart grid data management in distribution
PART 07: Geographical segmentation
• Global smart grid data management market by geography 2015
• Global smart grid data management market by geography 2020
• Global smart grid data management market by geography 2015-2020
• Smart grid data management market in the Americas 2015-2020
• Smart grid data management market in EMEA 2015-2020
• Smart grid data management market in APAC 2015-2020
PART 08: Key leading countries
PART 09: Market drivers
PART 10: Impact of drivers
PART 11: Market challenges
PART 12: Impact of drivers and challenges
PART 13: Market trends
PART 14: Vendor landscape
• Other prominent vendors
PART 15: Key vendor analysis
• EMC
• Oracle
• SAP
• SAS
• Siemens
PART 16: Appendix
• List of abbreviations
PART 17: Explore Technavio
List of Exhibits
Exhibit 01: Product offerings
Exhibit 02: Smart grid data collection function
Exhibit 03: Use of big data analytics in utilities sector
Exhibit 04: Market overview
Exhibit 05: Global smart grid data management market 2016-2020 ($ billions)
Exhibit 06: Smart grid data volume growth in a typical utility (TB)
Exhibit 07: Five forces analysis
Exhibit 08: Global smart grid data management market by application 2015
Exhibit 09: Global smart grid data management market by application 2020
Exhibit 10: Global smart grid data management market by application 2015-2020
Exhibit 11: Global smart grid data management in power generation and transmission segment 2015-2020 ($ billions)
Exhibit 12: Global smart grid data management in distribution segment 2015-2020 ($ billions)
Exhibit 13: Impact of implementing MDM software on business processes
Exhibit 14: Most commonly used distribution energy resources
Exhibit 15: Global smart grid data management market by geography 2015
Exhibit 16: Global smart grid data management market by geography 2020
Exhibit 17: Global smart grid data management market by geography 2015-2020
Exhibit 18: Smart grid data management market in Americas 2015-2020 ($ billions)
Exhibit 19: Smart grid data management market in EMEA 2015-2020 ($ billions)
Exhibit 20: Smart grid scenario in Europe
Exhibit 21: Smart metering plan by countries in Europe
Exhibit 22: Smart grid data management market in APAC 2015-2020 ($ billions)
Exhibit 23: Total number of smart meters in US by sector 2015
Exhibit 24: Single smart meter readings
Exhibit 25: Smart grid devices and their update intervals
Exhibit 26: Share of fossil fuels in the global energy mix 2014 and 2035
Exhibit 27: Traditional power grid
Exhibit 28: Transformed grid
Exhibit 29: Impact of drivers
Exhibit 30: Impact of drivers and challenges
Exhibit 31: Cumulative T&D infrastructure investments 2014-2035 ($ trillions)
Exhibit 32: Other prominent vendors
Exhibit 33: Technology portfolio
Exhibit 34: Smart grid data management product portfolio
Exhibit 35: Smart grid data management solutions
Exhibit 36: Siemens: Business segmentation by revenue 2015
Exhibit 37: Smart grid data management product portfolio
