IoT Energy Management Market was valued at USD 71.23 billion in 2023 and is expected to reach USD 311.86 billion by 2032, growing at a CAGR of 17.89% from 2024-2032. This report contains core information on the adoption rate of IoT-enabled solutions and has grown in terms of investment and funding and ultimately the amount of energy that can be saved. Consumer behavior and preferences will help contribute toward growth in the market, and system integration and interoperability will be critical for easy implementation. IoT-based energy management systems prove to be efficient and data-driven approaches to streamlining energy usage within sectors.
Drivers
Increasing Demand for Energy Efficiency Drives the Adoption of IoT-Based Energy Management Solutions for Cost and Sustainability Goals
Increasing energy costs, tighter sustainability regulations, and growing environmental concerns are making companies and consumers seek ways to reduce energy usage. Organizations are proactively looking for solutions that cut wastage, reduce operational expenditure, and bring about efficiency in operations. Energy management systems using IoT-based models provide real-time monitoring, automation, and predictive analytics to drive smarter decision-making. Such systems are integrated into smart grids and renewable energy sources to ensure optimum energy distribution and storage. Advanced AI-driven analytics further optimize efficiency by identifying patterns and anomalies, which enable industries to proactively manage energy usage. Again, compelling the industries towards net-zero targets as well as carbon reduction commitments, IoT is being used within the organizations for better energy tracking and compliance. Rising energy demand and, therefore, utilization are making IoT an inevitable tool for intelligent energy management toward sustainable operation and long-term cost saving in many sectors.
Restraints
Cybersecurity and Data Protection Challenges Impede the Adoption of IoT Energy Management Systems in Critical Infrastructure
The more voluminous and sensitive energy consumption data that IoT systems process, the greater the risks of cyberattacks and data breaches.It is important to ensure that such data is protected with robust cybersecurity measures, which is challenging because cyber threats are constantly evolving. Energy management systems, often integrated with smart grids and other critical infrastructure, become potential targets for malicious actors seeking to exploit vulnerabilities. As a result, organizations continue to be hammered for tight data encryption, stringent authentication protocols, and continuous updates in terms of security. Moreover, privacy regulations such as GDPR increases the complexity associated with IoT solution implementation without impairing security features. Such barriers can further cause delays, mainly when high stakes regarding data protection are involved, and investments in security measures create an infrastructure that provides credibility in system integrity and stakeholder trust.
Opportunities
AI and Machine Learning Integration in IoT Energy Management Optimizes Efficiency, Predictive Maintenance, and Resource Allocation
IoT-based energy management uses AI and machine learning to make it possible for more intelligent and efficient solutions. Advanced data analytics can be analyzed in high-volume data sets, predicting energy demands and detecting any anomalies in real-time to optimize usage. Predictive maintenance based on AI can predict equipment failures, thus reducing downtime and operational costs. Resource distribution and consumption are also improved by AI-driven systems, ensuring that energy is available for multiple sectors. Since IoT devices collect data in large quantities, the accuracy and efficiency of energy management can be continually and exponentially improved by machine learning algorithms. It not only increases operational efficiency but also saves cost over a long period, thus turning out to be an attractive approach for industries which want to optimize energy consumption and achieve sustainability goals.
Challenges
Integrating IoT Energy Management Systems with Legacy Infrastructure is Complex, Costly, and Resource-Intensive for Organizations
One of the challenges facing organizations is to integrate IoT energy management systems into existing infrastructure, especially legacy systems. Legacy systems are not capable of providing or having the technological compatibility to work with modern IoT devices, thereby making integration quite complex and time-consuming. An organization may be required to overhauling the entire infrastructure or upgrading it, which may attract high costs and extended timelines. Moreover, the gap between legacy systems and new IoT platforms may require specialized expertise, which further delays deployment. Such complexity increases operational risks and needs careful planning to avoid disruptions. Although the long-term benefits of IoT-based energy management are very promising, integration efforts can be daunting for businesses, especially for those with older or fragmented infrastructure. This challenge is severe in industries, such as electricity, where systems cannot be shutdown during the integration process, yet uptime is still crucial.
By Component
In 2023, the Solution segment led the IoT Energy Management Market with a 69% share, driven by the adoption of integrated IoT solutions for real-time monitoring, optimization, and predictive analytics. These solutions enhance energy efficiency, reduce costs, and support sustainability. Meanwhile, the Services segment is expected to grow at a 19.65% CAGR from 2024 to 2032, fueled by rising demand for specialized services like consulting, installation, and ongoing system management.
By End User
In 2023, the Industrial segment led the IoT Energy Management Market with a 57% share, driven by the need for energy optimization and cost reduction in high-consumption industries. Conversely, the Commercial segment is expected to grow at a 19.43% CAGR from 2024 to 2032, fueled by rising energy efficiency demands in office buildings and retail spaces. Government incentives and the push for sustainable practices are driving the adoption of IoT energy solutions in this sector.
By Application
In 2023, the Smart Utilities segment led the IoT Energy Management Market with a 49% share, driven by the need for improved grid reliability, energy distribution, and cost reduction. Meanwhile, the Smart Cities segment is expected to grow at a 19.74% CAGR from 2024 to 2032, fueled by urbanization and the demand for sustainable living. IoT solutions optimize energy consumption in infrastructure and transportation, supporting smart city initiatives focused on efficiency and carbon reduction.
In 2023, Asia Pacific dominated the IoT Energy Management Market with the highest revenue share of approximately 38%. This dominance is attributed to rapid industrialization, increasing energy consumption, and strong government initiatives focused on energy efficiency and sustainability. Countries like China, India, and Japan have been at the forefront of adopting IoT-based solutions to optimize energy management in both industrial and residential sectors. The region's vast manufacturing base, coupled with a growing emphasis on smart cities and infrastructure, has driven significant demand for IoT energy management technologies.
Europe is expected to grow at the fastest CAGR of about 20.25% from 2024 to 2032, driven by stringent regulations and government mandates aimed at achieving carbon neutrality and energy efficiency targets. The European Union’s focus on green energy, smart grids, and sustainable urban development is fueling the demand for IoT energy management solutions. As businesses and governments invest in smart energy technologies to comply with these regulations, Europe is positioned to lead in innovation and adoption, making it the fastest-growing region in the market.
GridPoint, Inc. (Energy Management Platform, GridPoint IoT-enabled Building Management System)
IoT.nxt (Edge Computing Platform, Smart Energy Management System)
Information Grid Ltd. (Smart Grid Platform, Energy Management System)
Aeris Communications Inc. (Aeris IoT Solutions, Aeris Smart Metering Solutions)
Carrier Global Corporation (EcoEnergy Insights, HVAC Energy Management Solutions)
WebNMS (Energy Management IoT Platform, Smart Metering Solutions)
Phoenix Contact (Energy Monitoring System, Industrial IoT Solutions)
Coda Cloud Limited (Coda IoT Energy Management Platform, Coda Cloud Energy Analytics)
Siemens AG (Desigo CC, Siemens Building Energy Management Solutions)
Johnson Controls International PLC (Metasys Building Management System, Johnson Controls Energy Management Solutions)
Schneider Electric (EcoStruxure Energy Management Platform, Power Monitoring Expert)
Honeywell International Inc. (Honeywell Building Management Solutions, Honeywell IoT Energy Management)
ABB Ltd. (ABB Ability Energy Management, ABB Smart Grid Solutions)
Enel X (Enel X Demand Response Platform, Enel X Energy Efficiency Solutions)
Tridium (Tridium Niagara Framework, Tridium Energy Management Solutions)
Lutron Electronics (Lutron Energy Management System, Lutron Building Control Solutions)
Siemens (Siemens Smart Grid Solutions, Siemens Energy Efficiency Solutions)
GE Digital (Predix Asset Performance Management, GE Digital Energy Management Platform)
Wattics (Wattics Energy Analytics Platform, Wattics Energy Management System)
C3.ai (C3 AI Energy Management, C3 IoT Energy Optimization Platform)
In January 2024, Panda Express announced its partnership with GridPoint to deploy GridPoint Intelligence across all U.S. locations. The smart building technology will optimize energy usage, improve operational efficiency, and enhance comfort for associates and customers.
In November 2024, Siemens signed an agreement with the UAE Ministry of Energy and Infrastructure to retrofit 60 government buildings with energy-efficient technology. The program targets a 27% reduction in energy and water consumption, leading to savings equivalent to 15,400 metric tons of CO2 emissions. This effort supports the UAE's goal to achieve net-zero emissions by 2050.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 71.23 Billion |
| Market Size by 2032 | USD 311.86 Billion |
| CAGR | CAGR of 17.89% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Component (Solution, Services) • By Application (Smart Cities, Smart Utilities, Others) • By End User (Commercial, Industrial) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | GridPoint, Inc., IoT.nxt, Information Grid Ltd., Aeris Communications Inc., Carrier Global Corporation, WebNMS, Phoenix Contact, Coda Cloud Limited, Siemens AG, Johnson Controls International PLC, Schneider Electric, Honeywell International Inc., ABB Ltd., Enel X, Tridium, Lutron Electronics, Siemens, GE Digital, Wattics, C3.ai |
ANS: IoT Energy Management Market was valued at USD 71.23 billion in 2023 and is expected to reach USD 311.86 billion by 2032, growing at a CAGR of 17.89% from 2024-2032
ANS: The Solution segment led the market with a 69% share in 2023.
ANS: The Industrial segment led with a 57% share in 2023.
ANS: Asia Pacific dominated the market with approximately 38% share in 2023.
The Smart Cities segment is expected to grow at a 19.74% CAGR from 2024 to 2032.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rate of IoT-enabled Solutions
5.2 Investment & Funding
5.3 Energy Savings Metrics
5.4 Consumer Behavior Insights
5.5 System Integration & Interoperability
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. IoT Energy Management Market Segmentation, By Component
7.1 Chapter Overview
7.2 Solution
7.2.1 Solution Market Trends Analysis (2020-2032)
7.2.2 Solution Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Services
7.3.1 Services Market Trends Analysis (2020-2032)
7.3.2 Services Market Size Estimates and Forecasts to 2032 (USD Billion)
8. IoT Energy Management Market Segmentation, By Application
8.1 Chapter Overview
8.2 Smart Cities
8.2.1 Smart Cities Market Trends Analysis (2020-2032)
8.2.2 Smart Cities Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Smart Utilities
8.3.1 Smart Utilities Market Trends Analysis (2020-2032)
8.3.2 Smart Utilities Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Others
8.4.1 Others Market Trends Analysis (2020-2032)
8.4.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
9. IoT Energy Management Market Segmentation, By End User
9.1 Chapter Overview
9.2 Commercial
9.2.1 Commercial Market Trends Analysis (2020-2032)
9.2.2 Commercial Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Industrial
9.3.1 Industrial Market Trends Analysis (2020-2032)
9.3.2 Industrial Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America IoT Energy Management Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.2.4 North America IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.5 North America IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.2.6.2 USA IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.6.3 USA IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.2.7.2 Canada IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.7.3 Canada IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.2.8.2 Mexico IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.2.8.3 Mexico IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe IoT Energy Management Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.1.6.2 Poland IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.6.3 Poland IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.1.7.2 Romania IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.7.3 Romania IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.1.8.2 Hungary IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.8.3 Hungary IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.1.9.2 Turkey IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.9.3 Turkey IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe IoT Energy Management Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.4 Western Europe IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.5 Western Europe IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.6.2 Germany IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.6.3 Germany IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.7.2 France IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.7.3 France IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.8.2 UK IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.8.3 UK IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.9.2 Italy IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.9.3 Italy IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.10.2 Spain IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.10.3 Spain IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.13.2 Austria IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.13.3 Austria IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific IoT Energy Management Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.4 Asia Pacific IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.5 Asia Pacific IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.6.2 China IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.6.3 China IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.7.2 India IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.7.3 India IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.8.2 Japan IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.8.3 Japan IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.9.2 South Korea IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.9.3 South Korea IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.10.2 Vietnam IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.10.3 Vietnam IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.11.2 Singapore IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.11.3 Singapore IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.12.2 Australia IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.12.3 Australia IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East IoT Energy Management Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.1.4 Middle East IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.5 Middle East IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.1.6.2 UAE IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.6.3 UAE IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.1.7.2 Egypt IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.7.3 Egypt IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.1.9.2 Qatar IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.9.3 Qatar IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa IoT Energy Management Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.2.4 Africa IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.5 Africa IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.2.6.2 South Africa IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.6.3 South Africa IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America IoT Energy Management Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.6.4 Latin America IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.5 Latin America IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.6.6.2 Brazil IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.6.3 Brazil IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.6.7.2 Argentina IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.7.3 Argentina IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.6.8.2 Colombia IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.8.3 Colombia IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America IoT Energy Management Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America IoT Energy Management Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America IoT Energy Management Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
11. Company Profiles
11.1 Schneider Electric
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Honeywell International Inc.
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 ABB Ltd.
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Enel X
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Tridium
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Lutron Electronics
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Siemens
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 GE Digital
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 Wattics
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 C3.ai
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Component
Solution
Services
By Application
Smart Cities
Smart Utilities
Others
By End User
Commercial
Industrial
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Product Matrix which gives a detailed comparison of the product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
The 5G IoT Market Size was valued at USD 10.76 Billion in 2023 and is expected to reach USD 208.48 Billion by 2032 and grow at a CAGR of 39.0% over the forecast period 2024-2032.
The Smart Learning Market was valued at USD 61.29 billion in 2023 and is expected to reach USD 320.45 billion by 2032, growing at a CAGR of 20.21% by 2032.
The Home Automation Market size was estimated at USD 95.87 Billion in 2023 and will reach USD 249.26 Billion by 2032 at a CAGR of 11.26% by 2024-2032.
The Non-Fungible Token Market was valued at USD 27.45 Billion in 2023 and is expected to reach USD 390.26 Billion by 2032, growing at a CAGR of 34.32% over the forecast period 2024-2032.
The Virtual Data Room Market Size was valued at USD 2.16 Billion in 2023 and will reach USD 11.37 Billion by 2032 and grow at a CAGR of 20.3% 2032.
The Smart Warehousing Market Size was USD 22.7 billion in 2023 and is expected to reach USD 75.7 billion by 2032 and grow at a CAGR of 14.3% by 2024-2032.
Hi! Click one of our member below to chat on Phone
© 2025 All Rights Reserved by SNS Insider Pvt Ltd
