Smart Grid Automation Market
Smart Grid Automation Market Forecasts to 2032 – Global Analysis By Component (Hardware, Software, and Services), Communication Channel, Technology, Application, End User and By Geography
According to Stratistics MRC, the Global Smart Grid Automation Market is accounted for $27.75 billion in 2025 and is expected to reach $57.61 billion by 2032 growing at a CAGR of 11.0% during the forecast period. Smart Grid Automation refers to the use of advanced digital technologies, communication networks, sensors, and automated control systems to monitor, manage, and optimize the generation, transmission, distribution, and consumption of electricity in real time. It enables utilities to improve grid reliability, efficiency, and flexibility by automatically detecting faults, balancing loads, integrating renewable energy sources, and responding to changing demand conditions. Through data-driven decision-making and remote operations, smart grid automation enhances energy efficiency, reduces outages, and supports a more resilient and sustainable power infrastructure.
Market Dynamics:
Driver:
Increasing grid reliability & outage prevention
Aging power infrastructure and rising electricity demand are increasing the frequency and impact of outages worldwide. Utilities are deploying automated substations, advanced sensors, and real-time monitoring systems to detect faults early and restore power faster. Smart grid automation enables self-healing networks that can isolate failures and reroute power automatically. Integration of digital control systems improves grid stability under peak load conditions. Governments are also mandating reliability standards to minimize economic losses caused by blackouts. As climate-related disruptions intensify, investments in automated grid resilience solutions continue to accelerate.
Restraint:
Interoperability & lack of standards
Power utilities often operate legacy systems that are incompatible with modern digital automation platforms. The absence of universally accepted communication protocols complicates seamless integration across devices and vendors. Utilities face higher costs and longer deployment timelines due to customization requirements. Differences in regional standards further hinder cross-border technology adoption. Cyber-physical complexity increases when multiple proprietary systems coexist within the same grid. These limitations slow large-scale smart grid rollouts and reduce return on investment for utilities.
Opportunity:
AI and machine learning analytics
Advanced analytics enable predictive maintenance by identifying potential equipment failures before they occur. AI-driven demand forecasting helps utilities balance supply and demand more efficiently. Machine learning algorithms improve energy distribution by optimizing load management in real time. Automated decision-making enhances grid responsiveness during peak usage and emergency events. Utilities are also leveraging AI to integrate renewable energy sources more effectively. As data volumes grow, intelligent analytics are becoming central to next-generation grid operations.
Threat:
Data privacy concerns
Smart grids generate vast amounts of consumer and operational data through connected devices. Unauthorized access to this data can compromise user privacy and grid integrity. Cyberattacks on grid infrastructure can disrupt power supply and damage public trust. Utilities must comply with stringent data protection regulations, increasing compliance costs. The use of cloud-based platforms further heightens concerns around data ownership and access control.
Covid-19 Impact:
The COVID-19 pandemic had a mixed impact on the smart grid automation market. Lockdowns disrupted manufacturing, supply chains, and on-site installation activities. Utility investment priorities temporarily shifted toward maintaining essential operations. However, the crisis highlighted the importance of remote monitoring and automated grid management. Digital substations and cloud-based control systems gained traction due to reduced workforce availability. Governments included smart grid upgrades in economic recovery and infrastructure stimulus programs. Post-pandemic strategies increasingly emphasize automation, resilience, and digital transformation of power networks.
The hardware segment is expected to be the largest during the forecast period
The hardware segment is expected to account for the largest market share during the forecast period. Large-scale deployment of advanced metering infrastructure is driving substantial hardware demand. Substation automation equipment is essential for real-time monitoring and fault management. Utilities are investing heavily in physical grid modernization to support digital applications. Hardware systems also enable seamless integration of renewable energy sources. Continuous upgrades of transmission and distribution assets reinforce the segment’s market leadership.
The residential segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the residential segment is predicted to witness the highest growth rate, due to rising adoption of smart meters and home energy management systems. Consumers are increasingly focused on energy efficiency and cost optimization. Automated billing and real-time consumption insights are improving customer engagement. Government programs promoting smart homes and energy conservation further support growth. Integration of rooftop solar and electric vehicle charging systems is expanding residential automation needs.
Region with largest share:
During the forecast period, the North America region is expected to hold the largest market share. The region benefits from early adoption of advanced grid technologies and strong utility investment. The United States has implemented large-scale smart metering and grid modernization programs. Supportive regulatory frameworks encourage digital transformation of power infrastructure. High penetration of renewable energy necessitates advanced automation solutions. Utilities in the region активно deploy AI-enabled grid management tools.
Region with highest CAGR:
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid urbanization and rising electricity demand. Countries such as China, India, and Japan are investing heavily in smart power networks. Government initiatives support grid digitization and renewable energy integration. Aging grids in developing economies are being upgraded with automated systems. Growing adoption of smart meters is improving energy monitoring and loss reduction.
Key players in the market
Some of the key players in Smart Grid Automation Market include Siemens AG, S&C Electric Company, General Electric Company, Oracle Corporation, Schneider Electric SE, Mitsubishi Electric Corporation, ABB Ltd., Toshiba Corporation, Hitachi Energy, Schweitzer Engineering Laboratories, Inc., Cisco Systems, Inc., Itron Inc., Honeywell International Inc., Landis+Gyr Group AG, and Eaton Corporation plc.
Key Developments:
In December 2025, ABB announced it has entered into an agreement to acquire IPEC, a UK-based technology company with more than 30 years of expertise in electrical diagnostics. IPEC's advanced monitoring systems track critical electrical infrastructure around the clock, using AI and advanced analytics to predict failures that could result in multi-million-dollar losses, safety risks or extended outages for industries such as data centers, healthcare, utilities and manufacturing. The transaction is expected to close in the first quarter of 2026.
In July 2025, Siemens AG announced that it has completed the acquisition of Dotmatics, a leading provider of Life Sciences R&D software headquartered in Boston and Portfolio Company of global software investor Insight Partners, for an enterprise value of $5.1 billion. With the transaction now completed, Dotmatics will form part of Siemens’ Digital Industries Software business, marking a significant expansion of Siemens’ industry-leading Product Lifecycle Management (PLM) portfolio into the rapidly growing and complementary Life Sciences market.
Components Covered:
• Hardware
• Software
• Services
Communication Channels Covered:
• Wired Networks
• Wireless Networks
Technologies Covered:
• Advanced Metering Infrastructure (AMI)
• Communication Technologies (Wired/Wireless)
• Supervisory Control and Data Acquisition (SCADA)
• DERMS & Microgrid Control Systems
• Distribution Automation
• Energy Management Systems (EMS)
• Edge Computing Enabled Solutions
• Other Technologies
Applications Covered:
• Transmission Automation
• Distribution Automation
• Generation Automation
• Consumption Automation
• Demand Response & Load Forecasting Functions
• Other Applications
End Users Covered:
• Utilities
• Industrial Sector
• Commercial Sector
• Residential
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Smart Grid Automation Market, By Component
5.1 Introduction
5.2 Hardware
5.2.1 Intelligent Electronic Devices (IEDs)
5.2.2 Substation Automation Components
5.2.3 Sensors & Meters
5.2.4 Distribution Automation Devices
5.2.5 Communication Modules
5.3 Software
5.3.1 SCADA Systems
5.3.2 Outage Management Systems (OMS)
5.3.3 Distribution Management Systems (DMS)
5.3.4 DERMS / Virtual Power Plant Platforms
5.3.5 Energy Management Systems (EMS)
5.3.6 Cybersecurity & Analytics Software
5.4 Services
5.4.1 Consulting
5.4.2 System Integration & Deployment
5.4.3 Support & Maintenance
5.4.4 Managed Services
6 Global Smart Grid Automation Market, By Communication Channel
6.1 Introduction
6.2 Wired Networks
6.2.1 Fiber Optics
6.2.2 Ethernet
6.3 Wireless Networks
7 Global Smart Grid Automation Market, By Technology
7.1 Introduction
7.2 Advanced Metering Infrastructure (AMI)
7.3 Communication Technologies (Wired/Wireless)
7.4 Supervisory Control and Data Acquisition (SCADA)
7.5 DERMS & Microgrid Control Systems
7.6 Distribution Automation
7.7 Energy Management Systems (EMS)
7.8 Edge Computing Enabled Solutions
7.9 Other Technologies
8 Global Smart Grid Automation Market, By Application
8.1 Introduction
8.2 Transmission Automation
8.3 Distribution Automation
8.4 Generation Automation
8.5 Consumption Automation
8.6 Demand Response & Load Forecasting Functions
8.7 Other Applications
9 Global Smart Grid Automation Market, By End User
9.1 Introduction
9.2 Utilities
9.3 Industrial Sector
9.4 Commercial Sector
9.5 Residential
9.6 Other End Users
10 Global Smart Grid Automation Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Siemens AG
12.2 S&C Electric Company
12.3 General Electric Company
12.4 Oracle Corporation
12.5 Schneider Electric SE
12.6 Mitsubishi Electric Corporation
12.7 ABB Ltd.
12.8 Toshiba Corporation
12.9 Hitachi Energy
12.10 Schweitzer Engineering Laboratories, Inc.
12.11 Cisco Systems, Inc.
12.12 Itron Inc.
12.13 Honeywell International Inc.
12.14 Landis+Gyr Group AG
12.15 Eaton Corporation plc
List of Tables
1 Global Smart Grid Automation Market Outlook, By Region (2024-2032) ($MN)
2 Global Smart Grid Automation Market Outlook, By Component (2024-2032) ($MN)
3 Global Smart Grid Automation Market Outlook, By Hardware (2024-2032) ($MN)
4 Global Smart Grid Automation Market Outlook, By Intelligent Electronic Devices (IEDs) (2024-2032) ($MN)
5 Global Smart Grid Automation Market Outlook, By Substation Automation Components (2024-2032) ($MN)
6 Global Smart Grid Automation Market Outlook, By Sensors & Meters (2024-2032) ($MN)
7 Global Smart Grid Automation Market Outlook, By Distribution Automation Devices (2024-2032) ($MN)
8 Global Smart Grid Automation Market Outlook, By Communication Modules (2024-2032) ($MN)
9 Global Smart Grid Automation Market Outlook, By Software (2024-2032) ($MN)
10 Global Smart Grid Automation Market Outlook, By SCADA Systems (2024-2032) ($MN)
11 Global Smart Grid Automation Market Outlook, By Outage Management Systems (OMS) (2024-2032) ($MN)
12 Global Smart Grid Automation Market Outlook, By Distribution Management Systems (DMS) (2024-2032) ($MN)
13 Global Smart Grid Automation Market Outlook, By DERMS / Virtual Power Plant Platforms (2024-2032) ($MN)
14 Global Smart Grid Automation Market Outlook, By Energy Management Systems (EMS) (2024-2032) ($MN)
15 Global Smart Grid Automation Market Outlook, By Cybersecurity & Analytics Software (2024-2032) ($MN)
16 Global Smart Grid Automation Market Outlook, By Services (2024-2032) ($MN)
17 Global Smart Grid Automation Market Outlook, By Consulting (2024-2032) ($MN)
18 Global Smart Grid Automation Market Outlook, By System Integration & Deployment (2024-2032) ($MN)
19 Global Smart Grid Automation Market Outlook, By Support & Maintenance (2024-2032) ($MN)
20 Global Smart Grid Automation Market Outlook, By Managed Services (2024-2032) ($MN)
21 Global Smart Grid Automation Market Outlook, By Communication Channel (2024-2032) ($MN)
22 Global Smart Grid Automation Market Outlook, By Wired Networks (2024-2032) ($MN)
23 Global Smart Grid Automation Market Outlook, By Fiber Optics (2024-2032) ($MN)
24 Global Smart Grid Automation Market Outlook, By Ethernet (2024-2032) ($MN)
25 Global Smart Grid Automation Market Outlook, By Wireless Networks (2024-2032) ($MN)
26 Global Smart Grid Automation Market Outlook, By Technology (2024-2032) ($MN)
27 Global Smart Grid Automation Market Outlook, By Advanced Metering Infrastructure (AMI) (2024-2032) ($MN)
28 Global Smart Grid Automation Market Outlook, By Communication Technologies (Wired/Wireless) (2024-2032) ($MN)
29 Global Smart Grid Automation Market Outlook, By Supervisory Control and Data Acquisition (SCADA) (2024-2032) ($MN)
30 Global Smart Grid Automation Market Outlook, By DERMS & Microgrid Control Systems (2024-2032) ($MN)
31 Global Smart Grid Automation Market Outlook, By Distribution Automation (2024-2032) ($MN)
32 Global Smart Grid Automation Market Outlook, By Energy Management Systems (EMS) (2024-2032) ($MN)
33 Global Smart Grid Automation Market Outlook, By Edge Computing Enabled Solutions (2024-2032) ($MN)
34 Global Smart Grid Automation Market Outlook, By Other Technologies (2024-2032) ($MN)
35 Global Smart Grid Automation Market Outlook, By Application (2024-2032) ($MN)
36 Global Smart Grid Automation Market Outlook, By Transmission Automation (2024-2032) ($MN)
37 Global Smart Grid Automation Market Outlook, By Distribution Automation (2024-2032) ($MN)
38 Global Smart Grid Automation Market Outlook, By Generation Automation (2024-2032) ($MN)
39 Global Smart Grid Automation Market Outlook, By Consumption Automation (2024-2032) ($MN)
40 Global Smart Grid Automation Market Outlook, By Demand Response & Load Forecasting Functions (2024-2032) ($MN)
41 Global Smart Grid Automation Market Outlook, By Other Applications (2024-2032) ($MN)
42 Global Smart Grid Automation Market Outlook, By End User (2024-2032) ($MN)
43 Global Smart Grid Automation Market Outlook, By Utilities (2024-2032) ($MN)
44 Global Smart Grid Automation Market Outlook, By Industrial Sector (2024-2032) ($MN)
45 Global Smart Grid Automation Market Outlook, By Commercial Sector (2024-2032) ($MN)
46 Global Smart Grid Automation Market Outlook, By Residential (2024-2032) ($MN)
47 Global Smart Grid Automation Market Outlook, By Other End Users (2024-2032) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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