The power distribution automation components market size is set to reach US$ 12.2 billion in 2023. Over the forecast period 2023 to 2033, power distribution automation components sales are likely to soar at a CAGR of 4.8%. The total market value at the end of 2033 is forecast to reach US$ 19.5 billion.
The power distribution automation (PDA) components market refers to an industry that provides several devices and solutions to automate and improve the efficiency of power distribution systems. These components are used to monitor, control and optimize power distribution from energy suppliers to end consumers.
The key components of power distribution automation systems are :
The market for distribution automation components is experiencing significant growth due to factors such as increasing demand for reliable and efficient distribution of electricity, integration of renewable energy sources, need for real-time monitoring and control, and deployment of smart grid infrastructure.
Key Trends Shaping Power Distribution Automation Components Market :
Attribute | Key Insights |
---|---|
Power Distribution Automation Components Market Estimated Size (2023E) | US$ 12.2 billion |
Projected Market Value (2033F) | US$ 19.5 billion |
Value-based CAGR (2023 to 2033) | 4.8% |
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Sales of power distribution automation components grew at 5.7% CAGR from 2018 to 2022. Between 2023 and 2033, power distribution automation components demand is set to rise at 4.8% CAGR. By the end of 2033, the market is likely to exceed a valuation of US$ 19.5 billion.
Energy suppliers and regulators are placing greater emphasis on energy efficiency and reducing power losses in distribution systems. Devices such as voltage optimization devices and demand response systems help optimize energy consumption and reduce waste.
Integrating distributed power resources such as rooftop solar panels and energy storage systems requires highly automated components to manage and control power flow at the distribution level.
Power distribution automation components are being developed to improve grid resilience and flexibility. This includes the ability to quickly detect and respond to failures, isolate sections of the network during failures, and integrate distributed power generation and storage resources to improve network reliability.
Implementation and management of distribution automation components require a skilled workforce with expertise in automation technology, data analysis, cybersecurity, and system integration. A shortage of skilled workers in these areas can hinder the introduction and efficient operation of automation systems.
Deployment of distribution automation may face internal resistance due to resistance to change and conservative organizational cultures. Stakeholders are reluctant to deviate from traditional practices, and a cultural shift may be required to fully leverage automation technology.
The integration of automation components such as distributed energy resources and advanced control systems can pose new challenges related to grid stability and power quality.
Growing Use of Renewable Energy Sources Fueling Power Distribution Automation Components Sales in the USA
According to Future Market Insights (FMI), in 2023, the power distribution automation components industry value is set to reach US$ 3.8 billion. Overall demand for power distribution automation components is likely to surge at 4.8% CAGR through 2033.
The United States is actively pursuing grid modernization efforts to modernize its aging power infrastructure, improve reliability, and incorporate advanced automation technologies. These efforts aim to improve grid efficiency and flexibility, support the integration of renewable energy sources, and enable effective management of distributed energy resources.
The increasing use of renewable energy sources such as solar and wind requires the integration of automation components into power distribution systems. Utilities across the United States are investing in automated solutions to manage the variability and intermittency of renewable energy generation, optimize power flow, and ensure grid stability and reliability.
In the USA, both regulatory requirements and environmental concerns have made energy efficiency a key focus. Distribution automation components such as smart meters, sensors, and demand response systems play a key role in optimizing energy consumption, reducing losses, and enabling more efficient use of energy resources.
Development of New and Advanced Infrastructure in China to Boost Sales
According to Future Market Insights (FMI), China's power distribution automation components industry is projected to cross a valuation of US$ 4.2 billion in 2033. Over the forecast period, power distribution automation components sales in China are likely to soar at 4.7% CAGR.
The widespread adoption of advanced metering infrastructure, including smart meters, is driving the growth of power distribution automation components in China. AMI enables utilities to collect real-time energy usage data, streamline billing processes, and provide consumers with information to manage energy usage more effectively.
China government has provided federal and state support and funding for grid modernization and automation projects. Programs such as the Smart Grid Investment Grant Program and the Grid Modernization Initiative have provided financial incentives and subsidies to utilities and energy providers to modernize their infrastructure and install distribution automation components.
The need to improve grid resilience and reliability, especially in the face of extreme weather and natural disasters, is driving the adoption of automation solutions. Distribution automation components such as fault detection systems, self-healing networks, and automatic restoration capabilities enable utilities to respond quickly to outages, minimize downtime, and improve overall grid performance.
The use of advanced data analysis tools and real-time monitoring capabilities are driving the growth of distribution automation components in China. Power companies can use data from automated systems to optimize operations, detect anomalies, predict equipment failures, and make informed decisions for efficient grid management.
Continuous advancements in automation technologies such as the Internet of Things (IoT), artificial intelligence (AI), and cloud computing are driving innovation in distribution automation components. These technologies enable more advanced monitoring, control, and optimization capabilities to improve system efficiency and performance.
Switching and Protecting Components to Remain Highly Popular
Switching and protecting components are key elements of power distribution automation components. These components are responsible for controlling the flow of electricity, isolating faults, and protecting equipment and personnel. Below are some of the key switching and protection components commonly used in distribution automation.
These switching and protecting components work together within the distribution automation system to ensure the safe and reliable operation of the distribution network. They are integrated with automation systems such as SCADA (supervisory control and data acquisition) and intelligent electronic devices (IEDs) to enable remote control, monitoring, and fault detection, contributing to increased efficiency and faster fault response.
According to Future Market Insights (FMI), switching & protecting components is likely to expand at a CAGR of 4.7% during the forecast period and is likely to hold around 5.5% of market value share.
Industrial Sector is the Leading Application of Power Distribution Automation Components
In terms of end-user, the industrial sector is projected to showcase a CAGR of 4.5% from 2023 to 2033. It exhibited a decent CAGR of about 5.1% during the historical period.
Power distribution automation components are widely used across several sectors to improve the efficiency, reliability, and safety of power distribution automation components in industrial plants. Industrial power distribution systems often have complex and demanding requirements, and automation components play a key role in meeting these requirements.
Several industrial plants are integrating renewable energy sources such as solar panels and wind turbines into their distribution systems.
Distribution automation components facilitate the seamless integration of renewable energy sources into the grid and enable efficient power routing, control, and distribution. These components help manage interruptions and fluctuations in renewable energy generation and maximize the utilization of clean energy resources.
The use of automation components for power distribution in the industrial sector helps optimize power distribution, improve energy efficiency, improve system reliability, and ensure the safe operation of critical industrial processes. These components play a key role in enabling efficient and intelligent energy management in industrial plants.
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The power distribution automation components market is a fiercely competitive market, with several companies competing for market dominance. ABB Group; Eaton Corporation PLC; G&W Electric Company; GE Grid Solutions; Kalkitech are important market players.
These companies face fierce competition in advertising strategies, pricing, and product offerings. To gain a competitive edge, companies resort to aggressive advertising strategies and bring innovative products to market.
For example :
Attribute | Details |
---|---|
Estimated Market Value (2023) | US$ 12.2 billion |
Projected Market Value (2033) | US$ 19.5 billion |
Anticipated Growth Rate (2023 to 2033) | 4.8% CAGR |
Forecast Period | 2023 to 2033 |
Historical Data Available for | 2018 to 2022 |
Market Analysis | US$ billion for Value and MT for Volume |
Key Segments Covered | Component and End-use |
Key Companies Profiled | ABB Group; Eaton Corporation PLC; G&W Electric Company; GE Grid Solutions; Kalkitech |
Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
The market is valued at US$ 12.2 billion in 2023.
Integration of power distribution automation components into smart grid infrastructure is pushing sales.
The market will reach US$ 19.5 billion by 2033.
The market CAGR until 2033 is 4.8%.
Development of New and advanced infrastructure in China to boost sales.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand to side Trends
1.3. Supply to 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. Product Life Cycle Analysis
3.5. Supply Chain Analysis
3.5.1. Supply Side Participants and their Roles
3.5.1.1. Producers
3.5.1.2. Mid to Level Participants (Traders/ Agents/ Brokers)
3.5.1.3. Wholesalers and Distributors
3.5.2. Value Added and Value Created at Node in the Supply Chain
3.5.3. List of Raw Material Suppliers
3.5.4. List of Existing and Potential Buyer’s
3.6. Investment Feasibility Matrix
3.7. Value Chain Analysis
3.7.1. Profit Margin Analysis
3.7.2. Wholesalers and Distributors
3.7.3. Retailers
3.8. PESTLE and Porter’s Analysis
3.9. Regulatory Landscape
3.9.1. By Key Regions
3.9.2. By Key Countries
3.10. Regional Parent Market Outlook
3.11. Production and Consumption Statistics
3.12. Import and Export Statistics
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ million ) & Volume (Units) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ million ) & Volume (Units) Projections, 2023 to 2033
4.2.1. Y to Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ million ) & Volume (Units) Analysis By Component, 2018 to 2022
5.3. Current and Future Market Size Value (US$ million ) & Volume (Units) Analysis and Forecast By Component, 2023 to 2033
5.3.1. Switching & Protecting Components
5.3.2. Monitoring Devices
5.3.3. Measuring Devices
5.4. Y to Y Growth Trend Analysis By Component, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End to Use
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ million ) & Volume (Units) Analysis By End to Use, 2018 to 2022
6.3. Current and Future Market Size Value (US$ million ) & Volume (Units) Analysis and Forecast By End to Use, 2023 to 2033
6.3.1. Industrial Sector
6.3.2. Commercial Sector
6.3.3. Residential Sector
6.4. Y to Y Growth Trend Analysis By End to Use, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By End to Use, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
7.1. Introduction
7.2. Historical Market Size Value (US$ million ) & Volume (Units) Analysis By Region, 2018 to 2022
7.3. Current Market Size Value (US$ million ) & Volume (Units) Analysis and Forecast By Region, 2023 to 2033
7.3.1. North America
7.3.2. Latin America
7.3.3. Western Europe
7.3.4. Eastern Europe
7.3.5. South Asia and Pacific
7.3.6. East Asia
7.3.7. Middle East and Africa
7.4. Market Attractiveness Analysis By Region
8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
8.1. Historical Market Size Value (US$ million ) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
8.2. Market Size Value (US$ million ) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
8.2.1. By Country
8.2.1.1. The United States
8.2.1.2. Canada
8.2.2. By Component
8.2.3. By End to Use
8.3. Market Attractiveness Analysis
8.3.1. By Country
8.3.2. By Component
8.3.3. By End to Use
8.4. Key Takeaways
9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ million ) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ million ) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. Brazil
9.2.1.2. Mexico
9.2.1.3. Rest of Latin America
9.2.2. By Component
9.2.3. By End to Use
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Component
9.3.3. By End to Use
9.4. Key Takeaways
10. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ million ) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ million ) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Germany
10.2.1.2. The United Kingdom
10.2.1.3. France
10.2.1.4. Spain
10.2.1.5. Italy
10.2.1.6. Rest of Western Europe
10.2.2. By Component
10.2.3. By End to Use
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Component
10.3.3. By End to Use
10.4. Key Takeaways
11. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ million ) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ million ) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Poland
11.2.1.2. RUSAa
11.2.1.3. Czech Republic
11.2.1.4. Romania
11.2.1.5. Rest of Eastern Europe
11.2.2. By Component
11.2.3. By End to Use
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Component
11.3.3. By End to Use
11.4. Key Takeaways
12. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ million ) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ million ) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Bangladesh
12.2.1.3. Australia
12.2.1.4. New Zealand
12.2.1.5. Rest of South Asia and Pacific
12.2.2. By Component
12.2.3. By End to Use
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Component
12.3.3. By End to Use
12.4. Key Takeaways
13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ million ) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ million ) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By Component
13.2.3. By End to Use
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Component
13.3.3. By End to Use
13.4. Key Takeaways
14. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ million ) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ million ) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of Middle East & Africa
14.2.2. By Component
14.2.3. By End to Use
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Component
14.3.3. By End to Use
14.4. Key Takeaways
15. Key Countries Market Analysis
15.1. The United States
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2022
15.1.2.1. By Component
15.1.2.2. By End to Use
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2022
15.2.2.1. By Component
15.2.2.2. By End to Use
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2022
15.3.2.1. By Component
15.3.2.2. By End to Use
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2022
15.4.2.1. By Component
15.4.2.2. By End to Use
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2022
15.5.2.1. By Component
15.5.2.2. By End to Use
15.6. The United Kingdom
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2022
15.6.2.1. By Component
15.6.2.2. By End to Use
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2022
15.7.2.1. By Component
15.7.2.2. By End to Use
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2022
15.8.2.1. By Component
15.8.2.2. By End to Use
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2022
15.9.2.1. By Component
15.9.2.2. By End to Use
15.10. Poland
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2022
15.10.2.1. By Component
15.10.2.2. By End to Use
15.11. RUSAa
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2022
15.11.2.1. By Component
15.11.2.2. By End to Use
15.12. Czech Republic
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2022
15.12.2.1. By Component
15.12.2.2. By End to Use
15.13. Romania
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2022
15.13.2.1. By Component
15.13.2.2. By End to Use
15.14. India
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2022
15.14.2.1. By Component
15.14.2.2. By End to Use
15.15. Bangladesh
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2022
15.15.2.1. By Component
15.15.2.2. By End to Use
15.16. Australia
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2022
15.16.2.1. By Component
15.16.2.2. By End to Use
15.17. New Zealand
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2022
15.17.2.1. By Component
15.17.2.2. By End to Use
15.18. China
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2022
15.18.2.1. By Component
15.18.2.2. By End to Use
15.19. Japan
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2022
15.19.2.1. By Component
15.19.2.2. By End to Use
15.20. South Korea
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2022
15.20.2.1. By Component
15.20.2.2. By End to Use
15.21. GCC Countries
15.21.1. Pricing Analysis
15.21.2. Market Share Analysis, 2022
15.21.2.1. By Component
15.21.2.2. By End to Use
15.22. South Africa
15.22.1. Pricing Analysis
15.22.2. Market Share Analysis, 2022
15.22.2.1. By Component
15.22.2.2. By End to Use
15.23. Israel
15.23.1. Pricing Analysis
15.23.2. Market Share Analysis, 2022
15.23.2.1. By Component
15.23.2.2. By End to Use
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 End to Use
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. ABB Group
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. Eaton Corporation PLC
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. G&W Electric Company
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. GE Grid Solutions
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. Kalkitech
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. Larsen & Toubro Ltd.
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. S&C Electric Company
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. Schneider Electric SA
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. Siemens AG
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. Mitsubishi Electric Corporation
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
18. Assumptions & Acronyms Used
19. Research Methodology
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