Shaping the Future of AI-Powered Robotic Asset Inspections for Energy Organizations

The market for AI in energy (including robotics) is expected to grow year-over-year, with a current estimated market of $6.2B per Markets and Markets. With a CAGR of 16%, the market is expected to grow to an astounding $13.2B by 2029. In another survey, conducted by Deloitte, 65% of responding companies in their 2024 Energy Tech Survey stated their plans to increase investment in AI and robotics for operations and maintenance use cases. To provide a final layer of context, Fortune Business Insights states, for onshore and offshore oil & gas, the global robotic inspections market is expected to grow at a CAGR of 6.81% per year—reaching $1.3B by 2032.

But what is driving this shift?

Ultimately, it makes sense that the market for AI and robotics in energy is growing. Organizations across the globe are being tasked with producing more than ever before, all while reducing operational risk, increasing reliability and decreasing emissions. AI and robotics have a strong potential to assist in some of these identified areas.

In 2025, GE Vernova’s Power & Energy Resources Software (PERS) business signed a formal collaboration agreement with ANYbotics, a leader in legged robotics for industrial inspection. This collaboration brings a technical integration between GE Vernova’s industry-leading Asset Performance Management (APM) (as ranked by third-party analysts) and ANYbotics' AMRs via GE Vernova’s Autonomous Inspection application. This technology collaboration is focused on supporting energy enterprises in creating safer, more reliable, and data-driven operations.

“I’m thrilled to share our vision for transforming the traditional inspection landscape. Autonomous Inspection represents a significant leap forward by automating and enhancing the image capture and analysis process, driven by cutting-edge AI/ML models developed by GE Vernova,” said Mazen Younes, Sr. Director of Platform Product Management and AI Strategy. “This innovative solution converts images into valuable time-series data, enabling deep data analysis and facilitating actionable insights. By integrating with APM applications, we are not only boosting operational efficiency but also empowering operators with timely alerts and access to image logs for verification, ensuring enhanced safety and decision-making. We’re confident that Autonomous Inspection will redefine inspection standards, promoting transparency, accuracy, and ultimately elevating the performance and safety of industrial facilities.”

Energy organizations face a number of pressures: From rising O&M cost, aging assets and infrastructure, and workforce shortages to the requirement for digitalization. The combination of SaaS, robotics, and APM software provides an exciting opportunity. Today, APM is evolving from a reaction monitoring practice into a more proactive, predictive and even prescriptive one. With GE Vernova’s APM, ANYbotics, and AWS infrastructure, energy organizations can take a big step in automating parts of operations that make sense.

Let’s explore how:

Equipped with:

This rich, multi-modal data is paired with ANYmal’s precise 3D mapping and autonomous navigation, enabling consistent, repeatable inspections. The captured data is then transmitted via AWS infrastructure into GE Vernova’s APM, providing a foundation for predictive analytics, operational optimization, and safety improvements.

Due to the collaboration between AWS and GE Vernova’s Power and Energy Resources software business, GE Vernova’s APM is able to help deliver innovative technology to SaaS customers across the globe. Below is a breakdown of the technical architecture of GE Vernova’s Autonomous Inspection application, ANYbotics, and AWS.

“AWS is looking forward to supporting how energy organizations use cloud technology to gain more visibility into their asset performance.” says Andrew Stulbarg, Sr. Sales Leader North American Energy & Utilites from AWS. “The shared collaboration between AWS, ANYbotics and GE Vernova gives organizations access to technology that can help to change how they work.”

The collaboration between GE Vernova, ANYbotics, and AWS represents a significant step forward in the pursuit of safe, scalable, and intelligent asset operations. By combining GE Vernova’s deep expertise and leading APM software, ANYbotics’ cutting-edge robotic capabilities, and AWS’s infrastructure, the collaboration has the potential to redefine how industrial inspections are done and how that inspection data can be executed across an enterprise.

Together, a new benchmark for reliability, efficiency, and innovation is formed — providing energy organizations that ability to shape their journey towards a more resilient future.