According to a 2025 forecast, the rollback of U.S. federal tax credits could result in a net total of 76 gigawatts of clean energy capacity not being deployed by 2030. In the short-term, the area serviced by the PJM ISO would suffer the most from such deployment losses. In the long-term, the MISO Midwest region was expected to see the greatest reduction in potential energy generating capacity, largely tied to utility-scale solar PV projects.
Forecast clean energy capacity losses attributed to reduced federal tax credits in the United States in 2030 and 2040, by ISO
(in gigawatts)
Adjust the presentation of the statistic and data points.
Share the statistic on social media channels or embed the statistic in your
website using "Embed Code", where available.
Cite this statistic and select one of the following formats: APA, Chicago, Harvard, MLA & Bluebook.
Print the statistic including description and metadata.
Chart type
Forecast clean energy capacity losses attributed to reduced federal tax credits in the United States in 2030 and 2040, by ISO
Share this statistic
You have no right to use this feature.
Make sure to contact us if you are interested in scientific citation.
You can upgrade your account to enable this functionality for all statistics.
This feature is not available with your current account.Request access
Related reports: Available to download in PDF or PPTX format
All data
in one format
U.S. energy industry under the Trump administration 2025
33 page/s
English
pptx
Detailed references
Everything on "U.S. energy industry under the Trump administration 2025" in one document: edited and divided
into chapters, including detailed references.
Learn more about how Statista can support your business.
Aurora Energy Research. (February 12, 2025). Forecast clean energy capacity losses attributed to reduced federal tax credits in the United States in 2030 and 2040, by ISO (in gigawatts) [Graph]. In Statista. Retrieved April 08, 2025, from https://www.statista.com/statistics/1558946/impact-of-us-ira-rollback-on-clean-energy-deployment/
Aurora Energy Research. "Forecast clean energy capacity losses attributed to reduced federal tax credits in the United States in 2030 and 2040, by ISO (in gigawatts)." Chart. February 12, 2025. Statista. Accessed April 08, 2025. https://www.statista.com/statistics/1558946/impact-of-us-ira-rollback-on-clean-energy-deployment/
Aurora Energy Research. (2025). Forecast clean energy capacity losses attributed to reduced federal tax credits in the United States in 2030 and 2040, by ISO (in gigawatts). Statista. Statista Inc.. Accessed: April 08, 2025. https://www.statista.com/statistics/1558946/impact-of-us-ira-rollback-on-clean-energy-deployment/
Aurora Energy Research. "Forecast Clean Energy Capacity Losses Attributed to Reduced Federal Tax Credits in The United States in 2030 and 2040, by Iso (in Gigawatts)." Statista, Statista Inc., 12 Feb 2025, https://www.statista.com/statistics/1558946/impact-of-us-ira-rollback-on-clean-energy-deployment/
Aurora Energy Research, Forecast clean energy capacity losses attributed to reduced federal tax credits in the United States in 2030 and 2040, by ISO (in gigawatts) Statista, https://www.statista.com/statistics/1558946/impact-of-us-ira-rollback-on-clean-energy-deployment/ (last visited April 08, 2025)
Forecast clean energy capacity losses attributed to reduced federal tax credits in the United States in 2030 and 2040, by ISO (in gigawatts) [Graph], Aurora Energy Research, February 12, 2025. [Online]. Available: https://www.statista.com/statistics/1558946/impact-of-us-ira-rollback-on-clean-energy-deployment/
Profit from additional features with an Employee Account
Please create an employee account to be able to mark statistics as favorites.
Then you can access your favorite statistics via the star in the header.
Profit from the additional features of your individual account
Currently, you are using a shared account. To use individual functions (e.g., mark statistics as favourites, set
statistic alerts) please log in with your personal account.
If you are an admin, please authenticate by logging in again.
