Global industrial software firm AVEVA is strengthening its digital twin business by expanding collaboration with cloud partners. The company also plans to roll out new services that incorporate artificial intelligence (AI) into industrial engineering solutions, signaling rapid technological advancement in the digital twin market driven by AI and cloud computing.
AVEVA announced the plans at the AVEVA World 2026 conference held in Milan, Italy on Wednesday (local time). AVEVA provides engineering solutions to companies in energy, shipbuilding, and offshore plant industries, supporting the digital transformation of more than 20,000 manufacturing companies worldwide using technologies such as AI and digital twins. It is regarded as one of the four major global digital twin firms, alongside Siemens, Dassault Systèmes, and PTC.
In a keynote speech at the event, CEO Caspar Herzberg announced strategic partnerships with Amazon Web Services (AWS) and Snowflake. The collaborations aim to deliver AVEVA's solutions, including digital twins, through the cloud and to expand data analytics and utilization in cloud environments. "For corporate customers, it is important to easily connect and use various functions," Herzberg said. "To this end, we plan to significantly expand our partner-led business this year."
AVEVA is focusing on this cloud strategy because manufacturing sites generate vast amounts of data, and analyzing and utilizing data in cloud environments creates significant synergies. In particular, key facilities such as factories and power plants can be monitored and operated through the cloud at once, even when scattered across multiple regions. When AI technology is added, the range of services available to corporate customers expands further. Through the partnership with Snowflake, corporate customers will be able to use Cortex AI, which automatically optimizes energy costs and predicts equipment failures, within their company's management framework.
AVEVA's earlier move in the first quarter of this year to unveil a digital twin architecture targeting AI data centers in partnership with Nvidia also stemmed from its strategy to expand partnerships. AVEVA is integrating its digital twin with Nvidia's Omniverse to simulate and verify everything from data center design to operations. At the event, Chief Product Officer Rob McGreevy stressed, "Through simulation, we can examine overheated equipment, reduce energy and water consumption, and identify the optimal range for utilizing graphics processing units (GPUs)."
TC Energy, a Canada-based energy company and major AVEVA customer, also attended the event. TC Energy recently replicated the control room for its 94,000-kilometer pipeline network across North America in AVEVA's virtual space. Through this, the company is expanding revenue by identifying unused pipelines and increasing utilization rates.
AVEVA also signaled plans to launch new AI-integrated services. A representative example is the "Industrial Knowledge Graph," which models the relationships and properties of industrial assets to solve problems and support decision-making with AI. "Going forward, industrial AI will develop centered on industry-specific models rather than general-purpose large language models (LLMs)," McGreevy said. "Multimodal AI that processes not only text but also images, video, and sensor data will become important, and functions such as supply chain optimization, alarm management, and operational analysis will be agentified."
This year's event drew approximately 3,500 corporate representatives from around the world, reflecting strong demand from companies seeking to grasp trends in industrial solutions such as AI-enhanced digital twins. According to Grand View Research, the global digital twin market is projected to grow from $35.8 billion in 2025 to $328.5 billion in 2033. The growth reflects how advances in AI technology have enabled solutions optimized across design, construction, and operation processes, beyond simple three-dimensional (3D) modeling. Manufacturers in energy, shipbuilding, chemicals, and other sectors can analyze equipment status in real time with AI and predict equipment anomalies to reduce maintenance costs and improve manufacturing process efficiency. "As generative AI continues to evolve, the challenge is how AI can be realized at industrial sites," Herzberg said. "This year, AVEVA will focus more on cloud, AI, and digital twins."
