Cloud Computing in Energy Market Size, Share, By Service Model, Deployment Model, Application, End-User, and By Region - Trends, Analysis, and Forecast till 2034

According to the research report, the global cloud computing in energy market size was valued at USD 1.5 Billion in 2024 and is expected to reach USD 3.7 Billion by 2034, growing at a CAGR of 10.3%.

Cloud computing is dramatically changing the energy industry through the management of energy generation, delivery, and consumption by computing resources located at a distance. Huge chunks of data from sensors, smart grids, and other energy sources are efficiently stored, processed, and analyzed to provide instant insights for operational efficiency. Cloud-based platforms can manage and analyze intelligent grid data to enable the electrical grid to become more reliable and efficient.

The use of machine learning algorithms in the analysis of sensor data can help anticipate equipment breakdowns and avoid unscheduled downtime by prescheduling maintenance. Cloud-based solutions, by doing this, can schedule production even from variable renewable energy sources, which helps grid integration. Digital transformation will be able to overcome such complexities and be the requisite transition to renewable energy sources because it provides flexibility, scalability, and analytic capabilities.

The energy cloud computing market sees high competition, rapid growth, and advanced technology. So, companies are staying in the race by diversifying their portfolio of services, focusing on sustainability, and increasing their global footprint.

Top Companies in Cloud Computing in Energy Sector Market

• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)
• IBM Cloud
• Oracle Cloud
• Schlumberger
• Clir
• Uplight
• AVEVA
• Siemens
• GE Digital
• SAP

Recent Advancements

• In June 2024, Google’s global expansion: Investing in geothermal energy in Nevada and a major data center in Malaysia. Google has partnered with NV Energy to power its Nevada data centers with advanced geothermal electricity. The deal, subject to regulatory approval, is expected to double the power output, providing carbon-free electricity for Google's regional operations. The plan, which will increase the local power grid from 3.5 megawatts to 115 megawatts in six years, aligns with Google's goal of operating entirely on clean energy by 2030.

Cloud computing platforms are being extensively utilized in the energy industry today for a variety of applications, all the way from advanced analytics and machine learning to smart grid optimization, and finally, to renewable energy itself. Weather data, along with energy production and demand information, may be handled and analyzed with a view toward facilitating the integration of wind and solar renewable energies into the grid. Cloud platforms also enable smart grids that reduce energy losses and allow consumers to dynamically adjust their demand in response to the current price or to grid conditions. Smart grids use sensors and real-time data to optimize energy distribution and consumption. Moreover, cloud computing may provide processing power and storage capacity that enable sophisticated machine learning and data analytics applications to establish, for example, customers' personalized energy plans and forecast failures of equipment or cyber-attacks.

IaaS and PaaS service models can help energy companies in a number of ways, such as virtual servers, networking, storage, and preconfigured software for asset management, customer relationship management, and meter data management; a development environment for energy apps is also provided. While private clouds can offer greater control over security and require more infrastructure and knowledge, public cloud services such as AWS, Microsoft Azure, or GCP provide scaled resources at low costs. Hybrid cloud deployment merges the use of private and public cloud services to provide firms with control over sensitive data but leverages the public cloud's scalability to minimize costs. Cloud-based solutions are deployed in this context: upstream oil and gas exploration and production operations, customer management, grid management, and renewable energy integration.

The industry in the Asia Pacific is investing heavily in distributed energy resources and smart grids to upgrade its aged infrastructure. Cloud computing drives the scalability, adaptability, and seamless connection with the larger grid. Government initiatives in support of innovative grids and renewable energy sources would further accelerate the uptake of cloud computing within the region. This has been supported by the growing share of renewable energy and energy efficiency in Europe. Cloud computing enables grid integration of various sources of renewable energy, calling for advanced management and monitoring tools. Modern grid technology reduces overall demand while optimizing energy consumption.

Segments Covered in the Report:

By Service Model:

• Infrastructure as a Service (IaaS)
• Platform as a Service (PaaS)
• Software as a Service (SaaS)

By Deployment Model:

• Public Cloud
• Private Cloud
• Hybrid Cloud

By Application:

• Grid Management
• Renewable Energy Integration
• Customer Management
• Others

By End-User:

• Utilities
• Independent Power Producers (IPPs)
• Oil & Gas Companies
• Energy Service Companies (ESCOs)

By Region:

• North America
• U.S.
• Canada
• Europe
• Germany
• U.K.
• France
• Russia
• Italy
• Rest of Europe
• Asia Pacific
• China
• India
• Japan
• South Korea
• Rest of Asia Pacific
• Latin America
• Brazil
• Mexico
• Rest of Latin America
• Middle East & Africa
• GCC
• Israel
• South Africa
• Rest of the Middle East & Africa

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