IDC FutureScape: Worldwide Manufacturing 2026 Predictions
IDC's FutureScape 2026 report forecasts transformative AI-driven changes across the manufacturing sector, with over 40% of manufacturers set to upgrade production scheduling systems to AI by 2026. The research highlights the rise of autonomous operations, advanced digital threads, and AI-enabled cybersecurity, signaling a pivotal shift towards smarter, more efficient manufacturing over the next five years.
By 2026, over 40% of manufacturers with a production scheduling system in place will upgrade it with AI-driven capabilities.
October 30, 2025 – IDC has released its 2026 predictions for the manufacturing sector. These predictions address one of more than 35 different industries analysed as part of IDC's FutureScape research.
This IDC FutureScape for manufacturing for 2026 explores IT, digital transformation, AI, workforce dynamics, and other key trends over the next five years, drawing on IDC Manufacturing Insights' global expertise.
"Over the next five years, the manufacturing sector will undergo extraordinary change, driven by rapid adoption of cloud platforms and applications that enable a true digital thread. Concurrently, there is organised generative and agentic AI experimentation happening as organisations make the pivot to operationalise this technology," said Jeffrey Hojlo, research vice president, Industry Ecosystems, Business Networks, and Manufacturing Insights, IDC.
IDC Futurescape: Worldwide Manufacturing 2026 Predictions
·Driven by the potential of autonomous operations, by 2029 30% of factories will configure and manage control systems centrally utilising open, virtualised, software-defined automation platforms.
·By 2026, over 40% of manufacturers with a production scheduling system in place will upgrade it with AI-driven capabilities to start enabling autonomous processes.
·By 2027, 40% of all operational data will be integrated across applications and platforms autonomously due to increased standardisation and the use of AI agents purpose-built for specific data.
·To close the loop between service and design, by the end of 2026 45% of G2000 OEM and aftermarket firms will use AI to connect field and engineering data, improving product and service quality.
·To counter data model poisoning risks, 75% of large manufacturers will use AI-enabled OT cyber defense by 2029, autonomously flagging low-level threats and cutting detection times by 60%.
·By 2028, firms that fail to design closed human-robot skill loops will face 20% higher downtime and retraining costs, and reduced efficiency compared with peers that implement bidirectional training.
·By 2028, 65% of G1000 manufacturers will use AI Agents in conjunction with design and simulation tools to continuously validate design changes and configurations/ variants against product requirements.
·By 2027, over 50% of manufacturers will utilise AI-enabled knowledge management tools to re-/upskill their workforce and foster collaboration across industry ecosystems.
·By 2030, 60% of manufacturers will leverage AI Agents to build data models and manage hybrid-cloud workloads, ensuring knowledge sharing and collaboration that lowers cost of quality by 2%.
·By 2027, 60% of manufacturers will leverage hyperscaler ecosystems to build, deploy, & scale new AI solutions, unlocking the value of their data and accelerating transformation.
