Unveiling AVEVA 2025: A Future-Focused Industrial Software Conference
AVEVA 2025 — the company’s global conference held in San Francisco — saw the leading industrial software provider unveil its comprehensive roadmap. Designed to help industrial customers unlock value, reduce operational costs, and leverage AI-enabled capabilities, the roadmap outlines AVEVA’s commitment to digital transformation and sustainable innovation.
The company, globally recognised for its PI System and AVEVA CONNECT platforms, continues to set benchmarks in industrial data management and cloud-based software solutions.
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Revolutionising Industrial Data with PI System and CONNECT
The PI System is a powerful software platform that collects and organises real-time data from sensors, machines and control systems in factories, plants and industrial environments. It transforms complex, scattered data into clear, actionable insights that drive operational efficiency and predictive maintenance.
AVEVA CONNECT complements this by offering a cloud-based platform for industrial companies, granting instant access to all AVEVA applications — from factory design to operations management — without the need for local installations.
Arti Garg, Chief Technologist at AVEVA, highlights:
“We provide industrial software solutions for about 90% of large, critical industrial customers. Our software covers the entire lifecycle — from design and build tools for engineers to operational software like PI.”
AI-Powered Engineering: Introducing GenDAI
A major highlight of the roadmap is GenDAI, AVEVA’s new AI design assistant for 3D engineering. This generative AI tool rapidly produces feasible, clash-free design options for human engineers to review, significantly reducing the hours traditionally spent on 3D modelling projects.
“One part of our roadmap is leveraging generative AI for 3D design optioneering,” Garg explains. “It’s embedded to reduce clashes and streamline decision-making.”
AVEVA is also enhancing collaborative engineering for large capital projects. Its latest Unified Engineering build enables real-time data sharing and change management within a secure, cloud-based environment — eliminating traditional, sequential processes.
“It simplifies project setups for collaboration, connecting all teams to centralised, reliable data,” Garg says.
Data Consolidation Through Strategic Partnerships
AVEVA’s recent partnership with Databricks enables customers to consolidate data from various industrial sources. By integrating process, production, and maintenance data from systems like MAXIMO and SAP, engineers can access a complete operational picture.
“Using Databricks and CONNECT, engineers gain unified, accessible insights from disparate systems,” Garg adds.
Simplifying Factory and Engineering Operations with AI
Demonstrating its commitment to user-friendly AI applications, AVEVA showcased an AI model demo that allows operators to interact using natural language queries — without technical jargon or complex interfaces.
“It’s vital for engineers to understand AI fundamentals, but developers like us must ensure it doesn’t add cognitive load,” Garg says.
AVEVA’s Unified Engineering Platform integrates process and plant design, enabling multi-discipline collaboration and achieving up to a 50% efficiency boost in Front-End Engineering Design (FEED) and 30% during detailed design phases. Industry leaders like Atkins have reported significant productivity improvements using AVEVA’s solutions.
Overcoming Digital Transformation Challenges in Industry
Digitalisation remains both a necessity and a challenge within manufacturing and engineering sectors. According to Make UK, while 80% of UK manufacturers plan to adopt digital technologies in 2025, only 12.5% currently embed them into core business strategies.
Garg points out the sector’s unique hurdles:
“Factories often have limited data-producing devices, and you can’t replace legacy equipment overnight. Plus, systems typically span multiple generations of software.”
This highlights the importance of gradual, scalable digital transformation strategies tailored to industrial realities.
AI, Sustainability and Responsible Innovation
With AI’s growing environmental impact — the International Monetary Fund predicts AI could contribute an extra 1.7 gigatonnes of CO₂ emissions by 2030 — AVEVA is actively working to address these concerns.
The company is on track to achieve net-zero emissions by 2030, having already reduced scope 1 and 2 emissions by 93% in 2023 through 100% renewable electricity procurement and a 21% fleet reduction.
“We believe AI can deliver sustainable benefits. Our AI-powered solutions help clients, like Toyota, reduce energy and carbon footprints,” Garg says.
Toyota’s paint shops cut energy consumption by 35% and CO₂ emissions by 28% using the AVEVA PI System. This underscores AVEVA’s role in fostering what it calls 'industries of the future' — digitalised, low-carbon, and data-driven.
Garg concludes: “To build a sustainable future, we need responsible AI frameworks and shared standards to measure AI’s environmental footprint accurately.”