Big data analytics is the often-complex process of analyzing large amounts of data to discover useful information, such as correlations, hidden patterns, market trends, and consumer preferences, that can help businesses make informed business decisions. Big data analytics is a subcategory of advanced analytics, including applications powered by complex statistical algorithms, predictive models, and what-if analyses.
Organizations have access to systems and software for big data analytics, allowing them to make data-driven decisions that improve business outcomes. Benefits include increased marketing effectiveness, new revenue opportunities, consumer personalization, and operational efficiency. Big data analytics in energy services enable the adoption of greener power generation. It enables sustainability consulting services and reduces greenhouse gas emissions by purchasing renewable energy.
The increased adoption of digitization systems in the energy sector has accelerated the rate of data production. The energy big data sources consist of electric utility data and additional data. Enterprise data and information a utility's smart grid reveals constitute electric utility data. All additional data sources utilized for big data applications are called supplemental data.
The rate at which information is generated has been steadily increasing. According to OmniSci, there are over 135 million smart utility meters in the United States, generating between 400 megabytes and 54 petabytes of new utility data annually. Electric utility companies combine this massive amount of data with billions of rows of additional IoT and smart sensor data. Such factors boost the market's growth.
Digitalization tools and platforms facilitate the construction of renewable energy plants with automated processes, allowing for informed decision-making and driving market expansion. Moreover, the proposed interconnections are the basis for a more decentralized generation, preventing the formation of isolated energy islands. These platforms reduce downtime by providing maintenance alerts and anticipating asset maintenance.
In addition, production facilities must be modernized to make them more competitive and efficient, which is a major driver of market expansion. The digitalization of new power plants also ensures their services' efficiency and high availability. Similarly, digital twins assist with modeling, forecasting, and performance testing, from power generation to customer connection. Consequently, these factors create market expansion opportunities.
North America is the most significant global big data analytics market in the energy sector and is estimated to exhibit a CAGR of 9.77% during the forecast period. North America is among the foremost innovators and early adopters of big data analytics. There are numerous opportunities for market expansion due to the substantial demand for big data analytics in the energy industry and the region's dominant position in the big data analytics market. The region's preference for renewable energy sources is anticipated to fuel the expansion of data analytics in smart grid systems. In addition, the United States plays a much larger role in the region's demand growth than Canada. The nation has increased demand, especially from oil and gas, refining, and power generation segments. Most Americans believe solar and wind power are environmentally friendly energy sources.
Asia-Pacific is estimated to exhibit a CAGR of 13.24% over the forecast period. Asia-Pacific is the fastest-growing region for big data analytics in the energy sector. The increasing adoption of IoT and smart technologies and diverse government initiatives, such as smart cities, throughout Asia-Pacific nations, including China and India, evidence this. As organizations uncover the true potential of business intelligence (BI) for increased productivity and profitability, big data and analytics spending is expected to increase in the ASEAN region. China is anticipated to be the leading nation in the Asia-Pacific region for big data analytics in the energy utility sector owing to its large population and rising national adoption rate of smart metering and smart grid systems. According to a report published in Smart Energy International, China will install over 438 million intelligent electric meters in 2021.
The key global big data analytics market in the energy sector are IBM Corporation, SAP SE, Microsoft Corporation, Infosys Limited, Dell Inc., Accenture PLC, Intel Corporation, and Siemens AG.