Account Executive

IFS reports strong H1 2026 growth as Industrial AI adoption accelerates. ARR grows 25% year-on-year as manufacturers, service organizations, and asset-intensive industries expand AI deployments across operations IFS, a leading provider of Industrial AI software, has reported strong first-half 2026 financial results, driven by growing adoption of AI-powered solutions across manufacturing, field service, supply chain, warehouse management, and asset-intensive industries. The company recorded 25% year-on-year growth in Annual Recurring Revenue (ARR) and 24% growth in cloud revenue, while recurring revenue accounted for 84% of total revenue, highlighting the continued shift of customers toward subscription-based and cloud-delivered solutions. According to IFS, the results reflect increasing demand from organizations looking to apply artificial intelligence to complex operational challenges and generate measurable business outcomes. Industrial enterprises are increasingly deploying AI to improve productivity, reduce downtime, optimize decision-making, and strengthen operational efficiency. "Customers are scaling AI across operations onto the factory floor, into the warehouse, and out in the field. As measurable business value is returned, Industrial AI is becoming a clear source of competitive advantage and customers are expanding their use of IFS solutions." Mark Moffat, CEO, IFS During the first half of 2026, IFS expanded its Industrial AI portfolio with several new innovations. These include IFS Nexus Black's Resolve, which uses AI to predict equipment faults and reduce service downtime, IFS Zero, which can reduce emissions data collection efforts by up to 30%, and the IFS Loops Agentic Platform, which enables organizations to deploy AI-powered digital workers, with 60% of agentic transactions now fully automated. The company also strengthened its supply chain management capabilities through the acquisition of Softeon earlier this year, enhancing its warehouse management and supply chain execution offerings as businesses navigate ongoing supply chain disruptions and volatility. "With 25% ARR growth, our numbers reflect how deeply customers are scaling AI into operations. These results reinforce the resilience of our business model and our track record of profitable growth." Ryan Courson, Chief Financial Officer, IFS IFS continued to attract major customers during H1 2026, including Coca-Cola, China Airlines, Drydocks World, First Solar, Miele, JVCKENWOOD, William Grant & Sons, and several other global industrial organizations. The company also expanded its Industrial AI ecosystem through strategic partnerships with technology leaders including Siemens, AVEVA, and NEC, helping customers connect enterprise, operational, and engineering data to drive more intelligent decision-making. Further validating its position in the market, IFS was recognized as a Leader in the 2026 IDC MarketScape Worldwide Manufacturing AI-Enabled Asset-Intensive Enterprise Asset Management Applications Vendor Assessment. With strong recurring revenue growth, expanding AI adoption, and continued platform innovation, IFS enters the second half of 2026 well-positioned to capitalize on growing enterprise demand for Industrial AI solutions that deliver measurable business value.

AVEVA and IFS join forces to bridge the gap between industrial insight and action. New AI-powered 'Continuous Asset Decision Intelligence' solution connects operations, enterprise systems, and capital planning AVEVA and IFS have announced a strategic technology partnership to advance AI-powered asset decision intelligence, unveiling a new solution called Continuous Asset Decision Intelligence at AVEVA World 2026 in Milan. The collaboration aims to connect operational data, enterprise workflows, and strategic planning into a single, intelligent decision-making framework for asset-intensive industries. The partnership addresses a longstanding industry challenge: fragmented data across operational and enterprise systems. While real-time operational data is typically available at the plant or asset level, critical information such as maintenance history, workforce availability, spare parts, and capital investment plans often reside in separate systems. This disconnect slows decision-making and limits organizations' ability to respond effectively. "Industrial intelligence only becomes real when you have the complete picture from sensor to boardroom." - Caspar Herzberg, CEO, AVEVA According to Caspar Herzberg, CEO of AVEVA, the collaboration is focused on breaking down these silos and enabling organizations to leverage a full, connected view of their operations. He emphasized that when data flows seamlessly from sensors to executive decision-makers, organizations can act faster and with greater confidence. Mark Moffat, CEO of IFS, reinforced the importance of translating insight into execution. He noted that the partnership enables enterprises to evaluate asset performance and determine the best course of action whether to repair, defer, or replace based on a continuous flow of data and AI-driven recommendations. "Together, we can help customers decide what work to do, when to do it, and whether to repair, defer or replace with evidence from signal to outcome." - Mark Moffat, CEO, IFS The solution integrates three key layers: operational intelligence, enterprise execution, and capital planning, creating a unified decision flow across the asset lifecycle. For industries such as utilities, energy, and manufacturing, this allows emerging issues to be assessed at a portfolio level rather than as isolated events. "This partnership closes the distance between insight and action by unifying operational intelligence with enterprise execution." - Jeffrey Hojlo, IDC Industry analysts view this approach as a major step toward closing the gap between analytics and action. Jeffrey Hojlo of IDC highlighted that the integration creates a "closed-loop digital thread" that supports not only real-time decision-making but also advanced AI capabilities such as predictive and agentic systems. By enabling real-time, evidence-based decisions, the AVEVA-IFS partnership is expected to improve asset reliability, optimize capital allocation, and strengthen regulatory compliance. As industrial organizations face increasing pressure to enhance efficiency and sustainability, the collaboration positions continuous, AI-driven decision intelligence as a critical capability for the future of connected industries.