The global grid analytics market is expected to accelerate from $1.15 billion in 2018 to $2.31 billion in 2025, at a compound annual growth rate (CAGR) of 10.4 percent.
Energy utilities are generating massive volumes of data from smart meters, intelligent energy devices, and multi-sensing units but only 2 percent to 4 percent of data from the system is leveraged for analytics.
This data, combined with a sophisticated analytics platform, can deliver valuable insights for utilities that can lead to improved customer service and operational metrics.
"The market will gradually switch to predictive and prescriptive analytics, especially as networks with low latency capabilities, such as 5G, are employed to minimize reaction times," said Farah Saeed, Research Director, Energy & Environment at Frost & Sullivan.
"Predictive and prescriptive analytics will incorporate statistical models that flag areas of inefficiency, evaluate and predict events promptly, and eventually include Artificial Intelligence (AI) to deliver a holistic decision-making tool," Saeed said.
Frost & Sullivan's recent analysis, Global Smart Grid Analytics Market, Forecast to 2025, provides an in-depth analysis of key applications and opportunities in the market.
This study segments data analytics into three main areas of the grid network: transmission and distribution (T&D) network, metering, and customer analytics. It covers the regions of North America, Europe, Asia-Pacific, and Rest of the World.
In the future, the areas with the greatest growth opportunities will include; Service outcome-based business models instead of just power generation and transmission. Internet of Things (IoT) devices and sensors that track and transmit data from and to the grid.
IoT infrastructure spending by utilities is forecast to reach more than $2 billion by 2024, growing at a CAGR of 20.5 percent. RE and electric vehicles. Utilities in Europe and North America are beginning to leverage these resources as baseload and back-up capacity.
Initiatives to strengthen the grid to minimize outage times, streamline billing operations, provide real-time energy information, and deliver new and relevant services.
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