The global energy intelligence solution market size is expected to reach US$ 4.6 Billion in 2022 and US$ 6.1 Billion in 2032. It is estimated to showcase growth at a CAGR of 15.2% in the forecast period from 2022 to 2032. The increasing demand for smart meters for initiating two-way communication between customers and organizations is set to propel the sales of energy intelligence solutions.
| Report Attributes | Details |
|---|---|
| Estimated Base Year Value (2021) | US$ 3.1 Billion |
| Expected Market Value (2022) | US$ 4.6 Billion |
| Anticipated Forecast Value (2032) | US$ 6.1 Billion |
| Projected Growth Rate (2022 to 2032) | 15.2% CAGR |
Energy intelligence solutions have started gaining immense popularity across the globe in recent years. These help various companies in obtaining granular energy data from their energy estate. It is essential to gain access to crucial data for ensuring equipment health, lowering operational costs, reducing expensive downtime, and increasing efficiency. ;
The rapid digital revolution in the energy industry with the emergence of the Internet of Things (IoT) and other advanced technologies is set to spur the sales of energy intelligence solutions in the near future. The ability of these solutions to help companies in gaining actionable energy insights and monitoring their energy usage based on the data generated is also estimated to augur well for the market.
These solutions can prevent equipment malfunctions by analyzing energy consumption for detecting assets that may otherwise not be performing normally. These provide real-time alerts on the energy management platform in case of issues associated with equipment failures. The ability of these solutions to detect a potential issue as soon as it occurs leads to reduced downtime, which is set to drive the energy intelligence solution market growth.
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The urgent need to provide accurate forecasting and ;the prioritization of power generation planning are expected to bode well for the market in the evaluation period. The increasing investments by key players in the development of digital channels to enhance customer experience and processes, as well as improve the perceived customer value are anticipated to accelerate the demand for energy intelligence solutions.
The sales of cloud-based solutions are set to surge in the upcoming years with the emergence of new products in the market. Cloud-based products are projected to help manufacturers in automating an organization’s equipment maintenance process and increasing profits effectively.
These solutions also provide numerous benefits, such as effective management, scalability, cost-effectiveness, flexibility, easy maintenance of image data generated, and agility. Cloud-based solutions also help many organizations to initiate their cross-country, cross-regional, or regional data recovery strategies. This further allows them to quickly recover confidential data in case of disasters.
The adoption of state-of-the-art technologies in the energy sector is not a cost-effective option. At the same time, finding a reliable software service provider, customizing, monitoring, managing, creating, and adjusting these software solutions requires more resources and time.
To incorporate energy intelligence solutions in the industry, companies are anticipated to accept the risks that come with replacing their conventional systems, as well as allocate a good amount of funds. Developing countries may not often have the monetary assistance to install smart solutions in the energy and utility industry, which is likely to hamper the demand for energy intelligence solutions in the assessment period.
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North America is expected to procure the highest energy intelligence solution market share in the forthcoming years. This growth is attributable to the increasing investments by governments of the U.S. and Canada in the rapid development of numerous technologies that are to be deployed in the energy and utilities sector.
Tigo Energy, a California-based energy solution manufacturer, will be attending the ENEX New Energy in Poland. Company officials will showcase the TS4-A-O optimizer and its range of TS4 Flex MLPE devices. These are compatible with PV modules. TS4-A-2F is considered to be the company’s most affordable shutdown solution for utility and commercial-scale PV installations.
The company is also set to exhibit its most powerful solar fleet management and monitoring solution named the Tigo Energy Intelligence (EI) software platform. The development of similar other products in the U.S. is projected to augur well for the North America market.
The increasing demand for energy intelligence solutions in numerous industries, such as telecommunication and manufacturing for controlling emissions of CO2 is expected to augur well for the Asia Pacific market. These industries are striving to keep up with existing standards and legislations implemented by government bodies in China and India, which is likely to push the energy intelligence solution market share in Asia Pacific.
The rapid digitization and urbanization, as well as high energy consumption in this region is set to positively affect the growth. Increasing investments in smart grid development, adoption of IoT devices, ongoing development of innovative metering infrastructure, and high internet penetration are also likely to create new growth opportunities for market players in Asia Pacific by 2032.
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Some of the leading players present in the global energy intelligence solution market include Intel Corporation, General Electric, Salesforce.com, Inc., TIBCO Software Inc., Eaton, SAS Institute, Inc., Microsoft, Oracle, Atos SE, IBM, Siemens, Google LLC, Amazon Web Services, Inc., Copyright Microstrategy Incorporated, SAP, Teradata, Cisco, Alteryx, Schneider Electric, and Open Text Corporation.
Majority of the key players operating in the global market are striving to provide innovative cloud computing services in the form of web services. They are developing new products to expand their existing portfolios in various segments, such as management tools, compute, storage, migration, media services, and database. Meanwhile, a few other companies are focusing on delivering customized solutions associated with the energy and utilities sector to strengthen their positions.
| Report Attributes | Details |
|---|---|
| Growth Rate | CAGR of 15.2% from 2022 to 2032 |
| Base Year for Estimation | 2021 |
| Historical Data | 2015 to 2020 |
| Forecast Period | 2022 to 2032 |
| Quantitative Units | Revenue in USD Million and CAGR from 2022 to 2032 |
| Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
| Segments Covered |
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| Regions Covered |
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| Key Countries Profiled |
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| Key Companies Profiled |
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| Customization | Available Upon Request |
FMI estimates that the global energy intelligence solution market is likely to showcase growth at a CAGR of 15.2% by 2032.
North America is expected to lead the energy intelligence solution market in terms of share.
Intel Corporation, General Electric, Salesforce.com, Inc., TIBCO Software Inc., Eaton, SAS Institute, Inc., Microsoft, and Oracle are some of the renowned energy intelligence solution providers.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. Value Chain Analysis 3.5.1. Profit Margin Analysis 3.5.2. Service Providers 3.6. PESTLE and Porter’s Analysis 3.7. Regulatory Landscape 3.7.1. By Key Regions 3.7.2. By Key Countries 3.8. Regional Parent Market Outlook 4. Global Energy Intelligence Solution Market Analysis 2017-2021 and Forecast, 2022-2032 4.1. Historical Market Size Value (US$ Mn) Analysis, 2017-2021 4.2. Current and Future Market Size Value (US$ Mn) Projections, 2022-2032 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Energy Intelligence Solution Market Analysis 2017-2021 and Forecast 2022-2032, By Component 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Mn) Analysis By Component, 2017-2021 5.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Component, 2022-2032 5.3.1. Software Platform 5.3.2. Services 5.4. Y-o-Y Growth Trend Analysis By Component, 2017-2021 5.5. Absolute $ Opportunity Analysis By Component, 2022-2032 Deep-dive segmentation will be available in the sample on request 6. Global Energy Intelligence Solution Market Analysis 2017-2021 and Forecast 2022-2032, By Application 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Mn) Analysis By Application, 2017-2021 6.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Application, 2022-2032 6.3.1. Utility Bill Management 6.3.2. Predictive Demand Management 6.3.3. Capacity Management 6.3.4. Energy Procurement & Storage Management 6.3.5. Others 6.4. Y-o-Y Growth Trend Analysis By Application, 2017-2021 6.5. Absolute $ Opportunity Analysis By Application, 2022-2032 Deep-dive segmentation will be available in the sample on request 7. Global Energy Intelligence Solution Market Analysis 2017-2021 and Forecast 2022-2032, By Industry 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Mn) Analysis By Industry, 2017-2021 7.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Industry, 2022-2032 7.3.1. Real Estate 7.3.2. Government 7.3.3. Retail 7.3.4. Healthcare 7.3.5. Energy & Utility 7.3.6. Education 7.3.7. Others 7.4. Y-o-Y Growth Trend Analysis By Industry, 2017-2021 7.5. Absolute $ Opportunity Analysis By Industry, 2022-2032 Deep-dive segmentation will be available in the sample on request 8. Global Energy Intelligence Solution Market Analysis 2017-2021 and Forecast 2022-2032, By Region 8.1. Introduction 8.2. Historical Market Size Value (US$ Mn) Analysis By Region, 2017-2021 8.3. Current Market Size Value (US$ Mn) Analysis and Forecast By Region, 2022-2032 8.3.1. North America 8.3.2. Latin America 8.3.3. Europe 8.3.4. East Asia 8.3.5. South Asia & Pacific 8.3.6. MEA 8.4. Market Attractiveness Analysis By Region 9. North America Energy Intelligence Solution Market Analysis 2017-2021 and Forecast 2022-2032, By Country 9.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 9.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 9.2.1. By Country 9.2.1.1. U.S. 9.2.1.2. Canada 9.2.2. By Component 9.2.3. By Application 9.2.4. By Industry 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Component 9.3.3. By Application 9.3.4. By Industry 9.4. Key Takeaways 10. Latin America Energy Intelligence Solution Market Analysis 2017-2021 and Forecast 2022-2032, By Country 10.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 10.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 10.2.1. By Country 10.2.1.1. Mexico 10.2.1.2. Brazil 10.2.1.3. Rest of Latin America 10.2.2. By Component 10.2.3. By Application 10.2.4. By Industry 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Component 10.3.3. By Application 10.3.4. By Industry 10.4. Key Takeaways 11. Europe Energy Intelligence Solution Market Analysis 2017-2021 and Forecast 2022-2032, By Country 11.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 11.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 11.2.1. By Country 11.2.1.1. Germany 11.2.1.2. Italy 11.2.1.3. France 11.2.1.4. U.K. 11.2.1.5. Spain 11.2.1.6. BENELUX 11.2.1.7. Russia 11.2.1.8. Rest of Europe 11.2.2. By Component 11.2.3. By Application 11.2.4. By Industry 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Component 11.3.3. By Application 11.3.4. By Industry 11.4. Key Takeaways 12. East Asia Energy Intelligence Solution Market Analysis 2017-2021 and Forecast 2022-2032, By Country 12.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 12.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 12.2.1. By Country 12.2.1.1. China 12.2.1.2. Japan 12.2.1.3. South Korea 12.2.2. By Component 12.2.3. By Application 12.2.4. By Industry 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Component 12.3.3. By Application 12.3.4. By Industry 12.4. Key Takeaways 13. South Asia & Pacific Energy Intelligence Solution Market Analysis 2017-2021 and Forecast 2022-2032, By Country 13.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 13.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 13.2.1. By Country 13.2.1.1. India 13.2.1.2. ASEAN 13.2.1.3. Australia and New Zealand 13.2.1.4. Rest of South Asia & Pacific 13.2.2. By Component 13.2.3. By Application 13.2.4. By Industry 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Component 13.3.3. By Application 13.3.4. By Industry 13.4. Key Takeaways 14. MEA Energy Intelligence Solution Market Analysis 2017-2021 and Forecast 2022-2032, By Country 14.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 14.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 14.2.1. By Country 14.2.1.1. GCC Countries 14.2.1.2. Turkey 14.2.1.3. South Africa 14.2.1.4. Rest of MEA 14.2.2. By Component 14.2.3. By Application 14.2.4. By Industry 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Component 14.3.3. By Application 14.3.4. By Industry 14.4. Key Takeaways 15. Key Countries Energy Intelligence Solution Market Analysis 15.1. U.S. 15.1.1. Pricing Analysis 15.1.2. Market Share Analysis, 2021 15.1.2.1. By Component 15.1.2.2. By Application 15.1.2.3. By Industry 15.2. Canada 15.2.1. Pricing Analysis 15.2.2. Market Share Analysis, 2021 15.2.2.1. By Component 15.2.2.2. By Application 15.2.2.3. By Industry 15.3. Mexico 15.3.1. Pricing Analysis 15.3.2. Market Share Analysis, 2021 15.3.2.1. By Component 15.3.2.2. By Application 15.3.2.3. By Industry 15.4. Brazil 15.4.1. Pricing Analysis 15.4.2. Market Share Analysis, 2021 15.4.2.1. By Component 15.4.2.2. By Application 15.4.2.3. By Industry 15.5. Germany 15.5.1. Pricing Analysis 15.5.2. Market Share Analysis, 2021 15.5.2.1. By Component 15.5.2.2. By Application 15.5.2.3. By Industry 15.6. Italy 15.6.1. Pricing Analysis 15.6.2. Market Share Analysis, 2021 15.6.2.1. By Component 15.6.2.2. By Application 15.6.2.3. By Industry 15.7. France 15.7.1. Pricing Analysis 15.7.2. Market Share Analysis, 2021 15.7.2.1. By Component 15.7.2.2. By Application 15.7.2.3. By Industry 15.8. U.K. 15.8.1. Pricing Analysis 15.8.2. Market Share Analysis, 2021 15.8.2.1. By Component 15.8.2.2. By Application 15.8.2.3. By Industry 15.9. Spain 15.9.1. Pricing Analysis 15.9.2. Market Share Analysis, 2021 15.9.2.1. By Component 15.9.2.2. By Application 15.9.2.3. By Industry 15.10. BENELUX 15.10.1. Pricing Analysis 15.10.2. Market Share Analysis, 2021 15.10.2.1. By Component 15.10.2.2. By Application 15.10.2.3. By Industry 15.11. Russia 15.11.1. Pricing Analysis 15.11.2. Market Share Analysis, 2021 15.11.2.1. By Component 15.11.2.2. By Application 15.11.2.3. By Industry 15.12. China 15.12.1. Pricing Analysis 15.12.2. Market Share Analysis, 2021 15.12.2.1. By Component 15.12.2.2. By Application 15.12.2.3. By Industry 15.13. Japan 15.13.1. Pricing Analysis 15.13.2. Market Share Analysis, 2021 15.13.2.1. By Component 15.13.2.2. By Application 15.13.2.3. By Industry 15.14. South Korea 15.14.1. Pricing Analysis 15.14.2. Market Share Analysis, 2021 15.14.2.1. By Component 15.14.2.2. By Application 15.14.2.3. By Industry 15.15. India 15.15.1. Pricing Analysis 15.15.2. Market Share Analysis, 2021 15.15.2.1. By Component 15.15.2.2. By Application 15.15.2.3. By Industry 15.16. ASEAN 15.16.1. Pricing Analysis 15.16.2. Market Share Analysis, 2021 15.16.2.1. By Component 15.16.2.2. By Application 15.16.2.3. By Industry 15.17. Australia and New Zealand 15.17.1. Pricing Analysis 15.17.2. Market Share Analysis, 2021 15.17.2.1. By Component 15.17.2.2. By Application 15.17.2.3. By Industry 15.18. GCC Countries 15.18.1. Pricing Analysis 15.18.2. Market Share Analysis, 2021 15.18.2.1. By Component 15.18.2.2. By Application 15.18.2.3. By Industry 15.19. Turkey 15.19.1. Pricing Analysis 15.19.2. Market Share Analysis, 2021 15.19.2.1. By Component 15.19.2.2. By Application 15.19.2.3. By Industry 15.20. South Africa 15.20.1. Pricing Analysis 15.20.2. Market Share Analysis, 2021 15.20.2.1. By Component 15.20.2.2. By Application 15.20.2.3. By Industry 16. Market Structure Analysis 16.1. Competition Dashboard 16.2. Competition Benchmarking 16.3. Market Share Analysis of Top Players 16.3.1. By Regional 16.3.2. By Component 16.3.3. By Application 16.3.4. By Industry 17. Competition Analysis 17.1. Competition Deep Dive 17.1.1. Intelligent Energy Solutions 17.1.1.1. Overview 17.1.1.2. Product Portfolio 17.1.1.3. Profitability by Market Segments 17.1.1.4. Sales Footprint 17.1.1.5. Strategy Overview 17.1.1.5.1. Marketing Strategy 17.1.1.5.2. Product Strategy 17.1.1.5.3. Channel Strategy 17.1.2. Enelx 17.1.2.1. Overview 17.1.2.2. Product Portfolio 17.1.2.3. Profitability by Market Segments 17.1.2.4. Sales Footprint 17.1.2.5. Strategy Overview 17.1.2.5.1. Marketing Strategy 17.1.2.5.2. Product Strategy 17.1.2.5.3. Channel Strategy 17.1.3. Rockwell Automation 17.1.3.1. Overview 17.1.3.2. Product Portfolio 17.1.3.3. Profitability by Market Segments 17.1.3.4. Sales Footprint 17.1.3.5. Strategy Overview 17.1.3.5.1. Marketing Strategy 17.1.3.5.2. Product Strategy 17.1.3.5.3. Channel Strategy 17.1.4. Honeywell 17.1.4.1. Overview 17.1.4.2. Product Portfolio 17.1.4.3. Profitability by Market Segments 17.1.4.4. Sales Footprint 17.1.4.5. Strategy Overview 17.1.4.5.1. Marketing Strategy 17.1.4.5.2. Product Strategy 17.1.4.5.3. Channel Strategy 17.1.5. LogicLadder 17.1.5.1. Overview 17.1.5.2. Product Portfolio 17.1.5.3. Profitability by Market Segments 17.1.5.4. Sales Footprint 17.1.5.5. Strategy Overview 17.1.5.5.1. Marketing Strategy 17.1.5.5.2. Product Strategy 17.1.5.5.3. Channel Strategy 17.1.6. STAMATS COMMUNICATIONS, INC. 17.1.6.1. Overview 17.1.6.2. Product Portfolio 17.1.6.3. Profitability by Market Segments 17.1.6.4. Sales Footprint 17.1.6.5. Strategy Overview 17.1.6.5.1. Marketing Strategy 17.1.6.5.2. Product Strategy 17.1.6.5.3. Channel Strategy 17.1.7. Artis Energy 17.1.7.1. Overview 17.1.7.2. Product Portfolio 17.1.7.3. Profitability by Market Segments 17.1.7.4. Sales Footprint 17.1.7.5. Strategy Overview 17.1.7.5.1. Marketing Strategy 17.1.7.5.2. Product Strategy 17.1.7.5.3. Channel Strategy 17.1.8. General Motors 17.1.8.1. Overview 17.1.8.2. Product Portfolio 17.1.8.3. Profitability by Market Segments 17.1.8.4. Sales Footprint 17.1.8.5. Strategy Overview 17.1.8.5.1. Marketing Strategy 17.1.8.5.2. Product Strategy 17.1.8.5.3. Channel Strategy 17.1.9. Zenatix 17.1.9.1. Overview 17.1.9.2. Product Portfolio 17.1.9.3. Profitability by Market Segments 17.1.9.4. Sales Footprint 17.1.9.5. Strategy Overview 17.1.9.5.1. Marketing Strategy 17.1.9.5.2. Product Strategy 17.1.9.5.3. Channel Strategy 17.1.10. VuePoint Solutions 17.1.10.1. Overview 17.1.10.2. Product Portfolio 17.1.10.3. Profitability by Market Segments 17.1.10.4. Sales Footprint 17.1.10.5. Strategy Overview 17.1.10.5.1. Marketing Strategy 17.1.10.5.2. Product Strategy 17.1.10.5.3. Channel Strategy 17.1.11. Incite Energy 17.1.11.1. Overview 17.1.11.2. Product Portfolio 17.1.11.3. Profitability by Market Segments 17.1.11.4. Sales Footprint 17.1.11.5. Strategy Overview 17.1.11.5.1. Marketing Strategy 17.1.11.5.2. Product Strategy 17.1.11.5.3. Channel Strategy 17.1.12. SBSI Energy Solutions 17.1.12.1. Overview 17.1.12.2. Product Portfolio 17.1.12.3. Profitability by Market Segments 17.1.12.4. Sales Footprint 17.1.12.5. Strategy Overview 17.1.12.5.1. Marketing Strategy 17.1.12.5.2. Product Strategy 17.1.12.5.3. Channel Strategy 17.1.13. THG Energy Solutions 17.1.13.1. Overview 17.1.13.2. Product Portfolio 17.1.13.3. Profitability by Market Segments 17.1.13.4. Sales Footprint 17.1.13.5. Strategy Overview 17.1.13.5.1. Marketing Strategy 17.1.13.5.2. Product Strategy 17.1.13.5.3. Channel Strategy 18. Assumptions & Acronyms Used 19. Research Methodology
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