Big Data Analytics Market In Energy Sector Size, Share & Industry Analysis, By Application (Grid Operations, Smart Metering, Asset and Workforce Management) And Regional Forecast, 2024-2032

Big data analytics in the energy sector plays a crucial role in reducing energy consumption and improving energy efficiency. The depletion of fossil fuel augments the demand for clean energy sources such as solar, wind, and tidal energy, which increases power consumption. Therefore it becomes essential to use advanced technology that uses big data-based analytical tools to understand the nature of power consumption. The volatility in oil prices brings the need to invest substantially in energy-related projects, which escalates the demand for big data analytics. In addition, the demand for quality information is increasing, which drives the demand for big data analytics in the energy sector.

The big data analytics market in the energy sector is segmented into application and geography. The market is categorized into grid operations, smart metering, and asset & workforce management segments based on the application. The grid operations segment dominates the big data analytics market due to wide data analytics deployment in maintaining grid stability during rapid decarbonization. Matching energy supply and demand in the network has been challenging, whereas data analytics plays a significant role in driving market growth.

Growing awareness for deploying smart metering along with increasing investment in alternative sources of energy are the key factors propelling the growth of the market. In addition, variability in oil prices, depletion of fossil fuel, and growing trends for increasing efficiency and reliability in transmitting power help drive the demand for big data analysis in the energy sector. However, lack of skilled manpower having domain-specific knowledge restraints market growth.

Key Players Covered:

Some of the globally acclaimed companies for the big data analytics market in the energy sector are IBM, SAP SE, Oracle, Siemens, Accenture, Teradata, EnerNOC, Microsoft, Palantir Technologies, C3.ai, Dell, and among other players

Regional Analysis:

The big data analytics market in the energy sector is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. Asia Pacific is dominating the market due to the wide adoption of IoT, big data, and advanced smart technologies in building smart cities, infrastructure and catering to the demand & supply gap in the power industry. North America is expected to be the second-largest market in the global demand due to the deployment of smart meters to track power consumption. Utilities are using big data for improving the decision making abilities in the coming years. For instance, Baltimore’s Gas & Electric utility made the various process and organizational changes to improve value from a centralized data analytics solution. Europe is also projected to grow due to its significant emphasis on improving operational efficiency from government and administration. Hence, a significant increase in demand for enhancing the energy industry's efficiency and flexibility has created a growth opportunity in the big data analytics market in the energy industry in the forecast period.

Segmentation

Key Industry Developments

• In January 2020 -  GE Hitachi Nuclear Energy (GEH) and TerraPower have collaborated to pursue a Public-Private Partnership to design and construct the Versatile Test Reactor (VTR). The collaboration aimed to build next-generation nuclear technology to deliver affordable and clean energy in nuclear technology.


• In May 2019 - Siemens and Chronicle, an Alphabet company, had announced a partnership to protect the energy industry’s critical infrastructure from increasingly sophisticated and malicious industrial cyber threats.


• In October 2017 - Teradata had introduced a modern software Teradata Analytics Platform that embeds analytics close to data, allowing users to run their analytics against larger data sets with higher operating speed and frequency.