The global big data analytics in energy market size was US$ 9.5 billion in 2021. The global big data analytics in energy market size is estimated to reach US$ 32.3 billion by 2030, growing at a compound annual growth rate (CAGR) of 14.6% during the forecast period from 2022 to 2030.
Big data analytics in energy services is a complete solution for adopting green power generation. It promotes sustainability consulting services and helps decrease greenhouse gas emissions with trustworthy renewable energy investments. Also, it aims to solve complex business problems for strategic investment decision-making.
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Factors Affecting Marketing Growth
The rise in the significance of adequate prioritization of energy generation technique, forecasting, and increase in digital medium acquisitions to enhance the knowledge, customer processes, and sensed value drive the growth of the global market.
The increase in the demand for risk comfort and functioning accuracy in the energy sector drives the growth of the global market
Technological and analytical skill gaps in the workforce and strict government rules and laws are the factors anticipated to hinder the growth of the global market.
The increase in internet penetration and adoption of IoT gadgets are anticipated to drive the growth of the global market.
Impact on COVID-19 Analysis
The COVID-19 outbreak positively impacted the growth of the global market owing to the lockdown in 2020. This is due to the considerable acquisition of advanced technologies like smart technologies, IoT, and different government ambitions, like smart cities, in the Asia-Pacific region which drives the growth of the global market.
Regional Analysis
North America dominated the global market size in 2021 and is anticipated to maintain its position during the forecast period, due to the existence of significant participants that deliver progressive solutions and invest majorly in solutions like IoT technologies.
Asia-Pacific is anticipated to notice substantial growth during the forecast period. The increase in understanding about the significance of boosting general big data analytics and other technology such as IoT technologies, services to provide storage solutions, low-cost servers, and comfortable accessibility of analytical solutions is anticipated to drive the growth of the global market.
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Leading Competitors
The prominent players in the global big data analytics in the energy market are:
TIBCO Software Inc.
Teradata
SAS Institute Inc
Siemens AG
Oracle Corporation
Microsoft Corporation
Intel Corporation
IBM Corporation
Infosys Limited
Dell Technology
Others
Segmentation Analysis
The global big data analytics in the energy market segmentation focuses on Offering, Application, End User, Enterprise Size, and Region.
Segmentation on the basis of Offering
Service
Solution
Segmentation on the basis of Application
Workforce Analytics
Supply Chain and Logistics Analytics
Customer Analytics
Spatial Analytics
Pricing Analytics
Asset Analytics
Others
Segmentation on the basis of End User
Utilities
Energy
Segmentation on the basis of Enterprise Size
SMEs
Large Enterprises
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Segmentation on the basis of Region
North America
The U.S.
Canada
Mexico
Europe
Western Europe
The UK
Germany
France
Italy
Spain
Rest of Western Europe
Eastern Europe
Poland
Russia
Rest of Eastern Europe
Asia Pacific
China
India
Japan
Australia & New Zealand
ASEAN
Rest of Asia Pacific
Middle East & Africa (MEA)
UAE
Saudi Arabia
South Africa
Rest of MEA
South America
Brazil
Argentina
Rest of South America
Reasons to Buy This Report
(A) The research provides valuable insights for top administration, policymakers, professionals, product advancements, sales managers, and stakeholders in the market. It helps them make informed decisions and strategize effectively.
(B) The report offers comprehensive analysis of Big Data Analytics in Energy market revenues on a global, regional, and country level, projecting trends until 2031. This data allows companies to assess their market share, identify growth opportunities, and explore new markets.
(C) The research includes segmentation of the Big Data Analytics in Energy market based on types, applications, technologies, and end-uses. This segmentation enables leaders to plan their products and allocate resources based on the expected growth rates of each segment.
(D) Analysis of the Big Data Analytics in Energy market benefits investors by providing insights into market scope, position, key drivers, challenges, restraints, expansion opportunities, and potential threats. This information helps them make informed investment decisions.
(E) The report offers a detailed analysis of competitors, their key strategies, and market positioning. This knowledge allows businesses to better understand the competition and plan their own strategies accordingly.
(F) The study helps evaluate Big Data Analytics in Energy business predictions by region, key countries, and top companies, providing valuable information for investment planning and decision-making.
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