Smart Grid Index

The 2024 SGI benchmarks a total of 92 utilities across 36 countries/markets

Average scores improved across all regions from 2022 to 2024. North America leads with the highest score of 82.4%, marking a 3.5% increase from the previous study. Europe follows with a score of 79.4%, showing comparable growth, while Asia Pacific demonstrates the most significant relative growth of 7.7%, closing the gap with a score of 78.2%.

North America leads maturity levels in 2024, excelling in categories such as Data Analytics, DER Integration, Green Energy, and Security. Europe demonstrates balanced performance across all categories, maintaining competitiveness. Asia Pacific shows notable strength in Supply Reliability, narrowing gaps in other areas.

The chart illustrates a steady rise in the average score for energy storage deployment by utilities globally and in North America from 2019 to 2024. North America consistently surpasses the global average, with a notable growth of 27.8%, increasing from 58.3% in 2019 to 86.1% in 2024. The global average also experiences significant growth of 30.2%, rising from 37.2% to 67.4%, highlighting the growing global emphasis on energy storage solutions.

The chart highlights steady improvements in average scores for AMI (Advanced Metering Infrastructure) deployment globally and in the Asia Pacific from 2021 to 2024. The Asia Pacific region consistently outpaces the global average, reaching 81.9% in 2024 compared to the global average of 80.7%. Both metrics show strong growth over time, with the Asia Pacific leading the global adoption of AMI technologies.

The Smart Grid Index (SGI) is a simple and quantifiable framework that evaluates the "smartness" of power grids worldwide across seven key dimensions. By analyzing key indicators derived from publicly available data, the SGI provides actionable insights to utilities, empowering them to create more intelligent grids and deliver enhanced value to their customers. This benchmarking process highlights best practices and fosters knowledge-sharing among industry peers, accelerating the evolution of smart grid technologies globally.

Disclaimer:

We have arrived at the findings, opinions and conclusion set out in this paper based on application of our methodology to materials and information we believe to be accurate and reliable, and which are made available in the public domain at the time we carried out the relevant research and study. Despite our best efforts, the materials and information may include inaccuracies and errors. The findings, opinions and conclusion will be construed solely as statements of opinion on the matters addressed in this paper including the degree of grid smartness ratings and shall not in any way represent authoritative assessment or judgment on any such matters. You assume the sole risk of making use of and/or relying on the findings, opinions and conclusion made available in this paper. To the extent permitted by law, we disclaim liability to any person or entity for all and any liability, direct and indirect, special, consequential, incidental losses and damages whatsoever arising from or in connection with your access to or use of the findings, opinions and conclusions in this paper.

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