ArcGIS Pro 3.7 can now extract features from scanned maps automatically. That sentence might not sound revolutionary until you consider what it means for a mining geologist holding a 1970s survey map of a copper prospect in Arizona, or a pipeline engineer trying to digitize decades of hand-drawn right-of-way sketches. The May 2026 release introduces tools to automatically extract features from scanned maps, with the ability to control layer visibility by map frame in layouts , Esri announced. What used to require days of manual tracing now happens in minutes.
The timing matters. Geospatial technology is transforming the energy sector by enabling smarter planning, monitoring, and management of resources through tools like GIS, satellite imagery, and drones , according to Fulcrum. But the real shift isn't just about having better tools—it's about geospatial workflows becoming operational infrastructure rather than support functions. In 2026, geospatial continues to shift from a supporting technology to a strategic one, serving as an intelligence layer that brings context and clarity to complex challenges , NGIS observed in January.
Can a Map Predict Where to Drill?
The answer, increasingly, is yes. Billions are spent each year on drilling that fails to return commercial results, but GIS helps reverse that trend by revealing where the odds of success are highest , GIS Navigator noted. The difference between "nice maps" and "business-critical GIS" is usefulness, with the key being to pick one field-to-office workflow , Esri's mining guide emphasized.
The May release delivers on that promise in concrete ways. File Knowledge Graphs in ArcGIS Pro now allow users to create and manage knowledge graphs locally without needing ArcGIS Enterprise, enabling analysis of relationships between spatial and nonspatial data to uncover patterns and trends . For exploration teams, that means connecting drill results, geochemistry, structural geology, and land tenure in a single queryable model—no enterprise server required.
Mining GIS software platforms now offer transformative impacts in terms of speed, sustainability, regulatory compliance, risk reduction, operational efficiency, and economic returns , according to a March 2026 analysis. The shift is visible in adoption patterns: Strong exploration programs do not emerge by accident but are built deliberately, from foundation to finish, so decisions are repeatable, scalable, and defensible .
What Happens When Utilities Go Digital?
Energy infrastructure is getting the same treatment. ArcGIS Pro 3.7 and ArcGIS Enterprise 12.1 introduce new functionality designed to elevate the experience with ArcGIS Utility Network, showcasing features released since the last network management release in 2025 , Esri reported. The 2026 release brings continued investment in network modeling and operational visibility, with a key highlight being the release of telecom domain network, which expands the ability to model and manage fiber networks .
The practical impact shows up in field operations. Modernizing grid operations with GIS reduces time spent on manual processes and enables a comprehensive view of operations, with staff at New Zealand's largest electricity distributor now able to visualize asset conditions and performance for more effective expenditure planning , according to Esri case studies.
Digital twins are moving from concept to control room. Leading adopters report measurable benefits such as double-digit yield improvements in pharma, multi-million-dollar operational savings in utilities, and 20-30% energy cuts in commercial buildings , a February analysis found. The global market for digital twins in the energy sector is predicted to increase to $48.2 billion by 2026 from $3.1 billion in 2020 , highlighting rapid adoption.
A standout theme at the 2025 Energy Resources GIS Conference was the advancement of reality capture technologies and digital twin implementations, with ConocoPhillips presenting their "Unconventional Digital Twins" program highlighting their global initiative to create digital replicas of assets .



