Market Research

Distribution Automation Market Growth Outlook Through 2024-2033

Overview and Scope
Distribution automation (DA) is a set of technologies used by electric utilities to collect, automate, analyze, and optimize data to improve the operational efficiency of their distribution power system. It enhances several key distribution system processes’ speed, cost, and accuracy, including fault detection, feeder switching, outage management, voltage monitoring and control, reactive power control, and load balancing.

Sizing and Forecast
The distribution automation market size has grown strongly in recent years. It will grow from $15.44 billion in 2023 to $16.97 billion in 2024 at a compound annual growth rate (CAGR) of 9.9%.  The growth in the historic period can be attributed to favorable government regulations and mandates, favorable government regulations and mandates, growing share of renewable energy in the energy mix, reliable and efficient energy consumption, reduced power outages time.

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Segmentation & Regional Insights
The distribution automation market covered in this report is segmented –
1) By Component: Software, Field Devices, Services
2) By Communication: Wired, Wireless
3) By Application: Public Utility, Private Utility
4) By End User: Industrial, Commercial, Residential

North America was the largest region in the distribution automation market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the distribution automation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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Major Driver Impacting Market Growth
Growing renewable power generation is expected to propel the growth of the distribution automation market going forward. Renewable power generation refers to the production of electricity from naturally replenished sources. Distribution automation is crucial in enabling renewable energy’s efficient, reliable, and sustainable integration into the power grid, contributing to the transition towards a cleaner and more sustainable energy future. For instance, according to the Energy Information Administration (EIA), a US-based principal agency of the Federal Statistical System, in 2022, wind and solar power accounted for 14% of U.S. electricity generation, expected to increase to 18% in 2024. Further, wind and solar energy will lead the growth in U.S. power generation for the next two years, with solar power generation projected to grow by 75% from 163 billion kWh in 2023 to 286 billion kWh in 2024, and wind power generation expected to grow by 11% from 430 billion kWh in 2023 to 476 billion kWh in 2024. Therefore, the growing renewable power generation is driving the growth of the distribution automation market.

Key Industry Players
Major companies operating in the distribution automation market are Hitachi Ltd., Siemens AG, General Electric Company, Cisco Systems Inc., Mitsubishi Electric, Schneider Electric SE, ABB Ltd., Toshiba, Eaton Corporation Plc, American Electric Power, Xylem Inc., Hubbell Incorporated, Itron Inc., Schweitzer Engineering Laboratories Inc., Landis+Gyr, Ingeteam, S&C Electric Company, Cooper Power Systems LLC, G&W Electric, CE Power Engineered Services (US), Kalkitech, NovaTech LLC., Beckwith Electric, Trilliant Holdings, Minsait ACS, Aclara Technologies LLC, Advanced Control Systems Inc., Alstom SA, Atlantic City Electric Company, BPL Global Ltd., Crompton Greaves Limited

The distribution automation market report table of contents includes:
1. Executive Summary

  1. Distribution Automation Market Characteristics
  2. Distribution Automation Market Trends And Strategies
  3. Distribution Automation Market – Macro Economic Scenario
  4. Global Distribution Automation Market Size and Growth

.

  1. Global Distribution Automation Market Competitive Benchmarking
  2. Global Distribution Automation Market Competitive Dashboard
  3. Key Mergers And Acquisitions In The Distribution Automation Market
  4. Distribution Automation Market Future Outlook and Potential Analysis
  5. Appendix
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