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.
Principal Consultant
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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