Still, those leveraging AI effectively report clear benefits. A North American CTO highlighted the impact of AI on employee productivity, stating, “AI that we use to optimise our employee workloads has had a positive impact. It has helped lower mistakes and improve outcomes, as well as speed up many processes.”
The efficiency imperative
Improving operational efficiency is, by a wide margin, the top priority for businesses in the sector for 2025, with 72% planning to focus on this area—nearly 20 percentage points higher than any other action planned for the year.
Although over a third of manufacturers identify operational effectiveness as a key weakness, this challenge is far from universal. Interestingly, companies with profit margin growth exceeding 5% do not identify efficiency as their primary weakness. Instead, they focus on cybersecurity (cited by 39%), supply chain improvements (34%), and innovation (29%)—reflecting their already streamlined operations.
Technology driving a fit-for-future operating model
Three-quarters of manufacturers acknowledge the need to improve their business models, reflecting the inherent complexity of managing their operations. Half of respondents report that their companies are streamlining processes to standardise workflows and eliminate redundancies, while an equal share is increasing investments in automation and digitising core processes. Nearly half (49%) are optimising supply chains, 48% are focusing on enhancing organisational structures, and 46% are upgrading technology systems to modernise their operations.
Renewable energy has emerged as another critical priority, with 39% of manufacturers identifying it as a key focus, while the importance of battery storage and electrification has almost doubled since last year.
Enabling technologies like cloud computing (37%), the Internet of Things (33%), machine learning (32%), and robotic process automation (31%) are getting more traction on the shop floor, creating agile, future-ready operating models.
Driving innovation forward
Innovation remains a key differentiator for manufacturers in 2025, with AI playing a critical role in driving the process. A European CISO shared, "Segmenting and analysing our customers' purchasing journey using machine learning has enabled us to personalise offers while focusing on the most profitable scenarios." Similarly, a CMO in Asia highlighted the use of AI for new product development through big data analysis.
While 41% of respondents consider themselves successful innovators—above the global average—there is still a long way to go. The majority (59%) acknowledge that their efforts are inconsistent or difficult to scale. Also, the use of AI for supply chain optimisation and quality control has seen a significant decline since last year. This shift may reflect some business leaders' challenges in integrating AI applications into existing operations or a conscious decision to ease the pressure of applying AI to every potential use case over the past 12 months.
Building a resilient workforce
The survey shows that the importance of investing in people has jumped by 15 percentage points over the past year.