As many as 96% of manufacturing companies that have implemented AI solutions have reported improvements in operational efficiency. The most frequently cited benefits include process automation, better production planning, and quality optimization. These findings come from KPMG’s 2025 report.
The report was prepared by KPMG International. It includes interviews with AI leaders from the industrial sector across 8 countries, findings from a broader survey of 1,390 business decision-makers from various industries (including 163 representatives from the manufacturing sector), in-depth expert analyses, and case studies.
How are manufacturing companies approaching the implementation of artificial intelligence?
The report explores, among other things, the maturity level of AI initiatives, areas of application, as well as the challenges and constraints companies face at different stages of digital transformation.
KPMG also examines how AI-driven technologies align with broader shifts in business models and work organization in the manufacturing industry.
What benefits of using AI do manufacturing leaders highlight?
- Faster data-driven decision-making – 42%
- Reduced business risk and improved regulatory compliance – 37%
- Greater operational efficiency and cost reduction – 36%
- Improved data analytics and insights – 30%
- Better customer experience – 29%
- Enhanced cybersecurity and data protection – 28%
- Increased revenue/growth – 27%
- Improved employee engagement and ability to attract talent – 27%
- Improved supply chain management – 26%
- Optimized financial planning and forecasting – 25%
- Support for sustainability and environmental goals – 24%
- Improved stakeholder management – 23%
- Development of new products and services – 23%
- Achieving competitive advantage – 23%
Source: KPMG International, 2025
Report: “Intelligent Manufacturing – A Blueprint for Creating Value Through AI-Driven Transformation”
AI in Practice: Proven Effectiveness
- 96% of companies reported improved operational efficiency after implementing AI.
- 62% of organizations achieved a return on investment (ROI) exceeding 10%.
- The most common use cases include production automation, demand forecasting, predictive maintenance, and quality control using computer vision.
The Rise of Agentic AI Systems
- 67% of companies are already using agentic AI — autonomous agents capable of making real-time decisions, for example in logistics, supply planning, and resource optimization.
- These technologies support self-optimizing production lines and intelligent supply chains.
Organizational and Operational Transformation
- AI not only enhances efficiency but also drives structural change.
Many companies are transitioning from traditional models to integrated, data-driven ecosystems. - An increasing number of organizations are adopting hybrid models — combining traditional departmental structures (such as production, IT, and logistics) with cross-functional teams working together on specific projects, such as implementing AI in production planning.
Operating in Manufacturing? Choose AI-Driven Solutions
The KPMG report clearly shows that AI is becoming an essential component of modern manufacturing.
Companies that approach AI strategically and holistically — integrating technology with processes, data, and people — achieve measurable operational, financial, and organizational benefits.
That is why we are expanding our offering for manufacturing companies with AI-based solutions aimed at streamlining processes and minimizing errors.
Our portfolio includes the Dynamics 365 Business Central ERP system as well as dedicated products from our partner DSR 4FACTORY, designed for advanced production planning, material requirements planning, and real-time production line monitoring and control.
We offer free consultations for manufacturing companies — registration available via the form below.
