sales@intentmarketresearch.com
+1 463-583-2713
As per Intent Market Research, the Cloud Computing in Energy Market was valued at USD 1.2 billion in 2023 and will surpass USD 2.4 billion by 2030; growing at a CAGR of 10.1% during 2024 - 2030.
The cloud computing market in the energy sector is rapidly expanding, driven by increasing digital transformation efforts, demand for grid modernization, and integration of renewable energy sources. Cloud solutions enable energy companies to enhance operational efficiency, reduce costs, and meet regulatory requirements by leveraging advanced analytics, real-time monitoring, and predictive maintenance.
The SaaS segment dominates the market due to its easy deployment, reduced upfront costs, and ability to offer energy companies access to advanced analytics and operational tools without needing extensive IT infrastructure. Energy providers increasingly utilize SaaS solutions for customer management, billing systems, and regulatory compliance to enhance service delivery.
For instance, SaaS platforms are vital in demand response systems that optimize energy distribution by balancing supply and consumption. This segment's dominance is further fueled by the global shift toward adopting smart grid technologies and integrating distributed energy resources.
The hybrid cloud deployment model is experiencing the fastest growth as energy companies seek flexible and secure ways to manage sensitive data. This model combines the scalability of public cloud services with the security and control of private cloud systems, making it ideal for managing critical infrastructure.
Hybrid clouds also support predictive maintenance and real-time monitoring for renewable energy systems, helping to mitigate risks while improving efficiency. Their ability to handle dynamic workloads and offer customized solutions ensures their growing popularity among energy firms transitioning toward digitalization.
The data analytics and reporting segment holds the largest share due to its critical role in transforming raw data into actionable insights. Advanced analytics helps energy companies optimize grid performance, forecast demand, and enhance energy trading decisions.
For instance, predictive analytics powered by cloud computing allows utilities to identify potential system failures, reducing downtime and costs. The increasing emphasis on data-driven decision-making to meet sustainability goals further cements this segment's market dominance.
Among end-users, renewable energy companies represent the fastest-growing segment, driven by the global push for clean energy. These companies leverage cloud platforms to integrate renewable sources like solar and wind into existing energy grids while optimizing energy storage and distribution.
Cloud computing facilitates virtual power plants and enhances grid reliability through real-time monitoring and forecasting. The sector’s rapid growth is aligned with global energy transition initiatives and investments in decarbonization.
The Asia-Pacific region is the fastest-growing market for cloud computing in energy, attributed to rapid industrialization, urbanization, and the adoption of renewable energy technologies. Governments in countries like China and India are actively investing in smart grid projects and renewable energy integration, driving cloud adoption.
For example, China's ambitious energy targets and India's increasing focus on solar energy demand robust data management and analytics platforms. The rising need for reliable energy solutions in developing economies underpins the region's growth trajectory.
The cloud computing in energy market is marked by intense competition, with major players like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud leading through continuous innovation and partnerships. Companies such as IBM, Siemens, and Schneider Electric are focusing on customized solutions tailored for energy applications.
The competitive landscape is further enriched by startups offering niche solutions for grid management and energy trading, fostering innovation and enhancing market dynamics. Strategic alliances and acquisitions remain key strategies to maintain market leadership.
Report Features |
Description |
Market Size (2023) |
USD 1.2 Billion |
Forecasted Value (2030) |
USD 2.4 Billion |
CAGR (2024 – 2030) |
10.1% |
Base Year for Estimation |
2023 |
Historic Year |
2022 |
Forecast Period |
2024 – 2030 |
Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
Segments Covered |
Cloud Computing in Energy Market by Service Type (Infrastructure as a Service [IaaS], Platform as a Service [PaaS], Software as a Service [SaaS]), Deployment Type (Public Cloud, Private Cloud, Hybrid Cloud), Application (Grid Management, Asset Management, Data Analytics and Reporting, Customer Management, Energy Trading and Risk Management), End-User (Utilities, Oil and Gas, Renewable Energy Companies, Mining) |
Regional Analysis |
North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa) |
Major Companies |
Amazon Web Services (AWS), Microsoft Corporation (Azure), Google Cloud, IBM Corporation, Oracle Corporation, SAP SE, Salesforce Inc., Accenture PLC, Cisco Systems, Inc., Siemens AG, ABB Ltd., Schneider Electric SE, Honeywell International Inc., General Electric (GE) Digital, Tata Consultancy Services (TCS) |
Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
1. Introduction |
1.1. Market Definition |
1.2. Scope of the Study |
1.3. Research Assumptions |
1.4. Study Limitations |
2. Research Methodology |
2.1. Research Approach |
2.1.1. Top-Down Method |
2.1.2. Bottom-Up Method |
2.1.3. Factor Impact Analysis |
2.2. Insights & Data Collection Process |
2.2.1. Secondary Research |
2.2.2. Primary Research |
2.3. Data Mining Process |
2.3.1. Data Analysis |
2.3.2. Data Validation and Revalidation |
2.3.3. Data Triangulation |
3. Executive Summary |
3.1. Major Markets & Segments |
3.2. Highest Growing Regions and Respective Countries |
3.3. Impact of Growth Drivers & Inhibitors |
3.4. Regulatory Overview by Country |
4. Cloud Computing In Energy Market, by Service Type (Market Size & Forecast: USD Million, 2022 – 2030) |
4.1. Infrastructure as a Service (IaaS) |
4.2. Platform as a Service (PaaS) |
4.3. Software as a Service (SaaS) |
5. Cloud Computing In Energy Market, by Deployment Type (Market Size & Forecast: USD Million, 2022 – 2030) |
5.1. Public Cloud |
5.2. Private Cloud |
5.3. Hybrid Cloud |
6. Cloud Computing In Energy Market, by Application (Market Size & Forecast: USD Million, 2022 – 2030) |
6.1. Grid Management |
6.2. Asset Management |
6.3. Data Analytics and Reporting |
6.4. Customer Management |
6.5. Energy Trading and Risk Management |
7. Cloud Computing In Energy Market, by End-User (Market Size & Forecast: USD Million, 2022 – 2030) |
7.1. Utilities |
7.2. Oil and Gas |
7.3. Renewable Energy Companies |
7.4. Mining |
8. Regional Analysis (Market Size & Forecast: USD Million, 2022 – 2030) |
8.1. Regional Overview |
8.2. North America |
8.2.1. Regional Trends & Growth Drivers |
8.2.2. Barriers & Challenges |
8.2.3. Opportunities |
8.2.4. Factor Impact Analysis |
8.2.5. Technology Trends |
8.2.6. North America Cloud Computing In Energy Market, by Service Type |
8.2.7. North America Cloud Computing In Energy Market, by Deployment Type |
8.2.8. North America Cloud Computing In Energy Market, by Application |
8.2.9. North America Cloud Computing In Energy Market, by End-User |
8.2.10. By Country |
8.2.10.1. US |
8.2.10.1.1. US Cloud Computing In Energy Market, by Service Type |
8.2.10.1.2. US Cloud Computing In Energy Market, by Deployment Type |
8.2.10.1.3. US Cloud Computing In Energy Market, by Application |
8.2.10.1.4. US Cloud Computing In Energy Market, by End-User |
8.2.10.2. Canada |
8.2.10.3. Mexico |
*Similar segmentation will be provided for each region and country |
8.3. Europe |
8.4. Asia-Pacific |
8.5. Latin America |
8.6. Middle East & Africa |
9. Competitive Landscape |
9.1. Overview of the Key Players |
9.2. Competitive Ecosystem |
9.2.1. Level of Fragmentation |
9.2.2. Market Consolidation |
9.2.3. Product Innovation |
9.3. Company Share Analysis |
9.4. Company Benchmarking Matrix |
9.4.1. Strategic Overview |
9.4.2. Product Innovations |
9.5. Start-up Ecosystem |
9.6. Strategic Competitive Insights/ Customer Imperatives |
9.7. ESG Matrix/ Sustainability Matrix |
9.8. Manufacturing Network |
9.8.1. Locations |
9.8.2. Supply Chain and Logistics |
9.8.3. Product Flexibility/Customization |
9.8.4. Digital Transformation and Connectivity |
9.8.5. Environmental and Regulatory Compliance |
9.9. Technology Readiness Level Matrix |
9.10. Technology Maturity Curve |
9.11. Buying Criteria |
10. Company Profiles |
10.1. Amazon Web Services (AWS) |
10.1.1. Company Overview |
10.1.2. Company Financials |
10.1.3. Product/Service Portfolio |
10.1.4. Recent Developments |
10.1.5. IMR Analysis |
*Similar information will be provided for other companies |
10.2. Microsoft Corporation (Azure) |
10.3. Google Cloud |
10.4. IBM Corporation |
10.5. Oracle Corporation |
10.6. SAP SE |
10.7. Salesforce Inc. |
10.8. Accenture PLC |
10.9. Cisco Systems, Inc. |
10.10. Siemens AG |
10.11. ABB Ltd. |
10.12. Schneider Electric SE |
10.13. Honeywell International Inc. |
10.14. General Electric (GE) Digital |
10.15. Tata Consultancy Services (TCS) |
11. Appendix |
A comprehensive market research approach was employed to gather and analyze data on the Cloud Computing In Energy Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Cloud Computing In Energy Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the Cloud Computing In Energy ecosystem. The primary research objectives included:
A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Cloud Computing In Energy Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:
To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.