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KPMG Global Tech Report - Industrial Manufacturing Insights Summary

Core Content

The KPMG Global Tech Report 2024 provides insights into the current state and future direction of digital transformation in industrial manufacturing (IM). It emphasizes that IM is at the forefront of adopting digital technologies, particularly AI, to improve operational efficiency, quality control, and sustainability.

Main Points

Digital Maturity and Strategic Adoption

• Industrial manufacturing firms exhibit the highest digital maturity among all sectors surveyed, with 76% of executives expressing a strong willingness to adopt cutting-edge technology.
• The sector leads in AI adoption, with 34% achieving ROI from multiple AI use cases.
• IM is the most proactive sector in digital transformation, outperforming the cross-sector average in all nine technology categories.

AI Use Cases and ROI

• AI is being used in predictive maintenance, quality control through image recognition, and enhancing environmental efficiency.
• Virtual instrumentation (soft sensors) is emerging as a key tool to monitor product quality in real time without the need for physical sensors.
• AI helps reduce decision-making burden on factory workers, allowing them to focus on high-value tasks.

Challenges and Gaps

• Despite progress, data silos and connectivity gaps remain significant challenges.
• Interoperability and cybersecurity are critical for integrating data across systems and ensuring secure data sharing.
• Workforce upskilling is essential to bridge the skills gap and support AI-driven decision-making.

Recommendations

• Enhance data strategies to ensure seamless integration and real-time analysis.
• Upskill the workforce with a focus on analytical decision-making and data-centric culture.
• Improve visualization capabilities to enable faster, more informed decision-making.
• Develop a comprehensive AI strategy that balances cost, revenue, and risk.
• Address talent gaps by both training existing employees and bringing in new talent.
• Foster innovation and agility to meet evolving customer expectations in terms of speed and customization.

Key Findings

• 76% of industrial manufacturing firms have a workforce eager to adopt new technologies.
• 80% of executives believe they empower their organizations to strategically innovate with AI.
• 34% of IM firms have achieved ROI from multiple AI use cases.
• IM firms are more likely to be in the top two levels of data maturity compared to other sectors.
• 76% of IM firms cite immature data management as a top factor slowing digital transformation.

The Road Ahead

To sustain momentum in digital transformation, industrial manufacturing organizations should:

• Nurture a proactive and progressive culture.
• Improve data visualization and workflows to support data-led decisions.
• Upskill workers and create a data-centric environment.
• Innovate to meet customer demands for speed and customization.
• Integrate AI and digital technologies with physical manufacturing processes to create a competitive advantage.

Key Actions for AI Adoption

1. Assess and address data shortcomings in availability, quality, and integration.
2. Identify early AI use cases that directly impact revenue, costs, or risk.
3. Upskill the workforce and promote a data-centric culture.
4. Address talent gaps by leveraging existing and new talent.
5. Develop a general AI strategy that considers both cost and revenue opportunities.

Methodology

• The report is based on a survey of 2,450 technology leaders from 26 countries across 8 industries.
• 368 leaders from the industrial manufacturing sector were included in the analysis.
• Respondents were senior leaders, including 50% from the C-suite or board level and 15% from director or senior manager roles.

About the Authors

• Saurabh Bhatnagar: Partner at KPMG in India, with over 26 years of experience in industrial automation and AI.
• Martin Kaestner: Technology Leader at KPMG in the US, leading AI initiatives and digital transformation strategies.
• Carmelo Mariano: Industrial Manufacturing Leader at KPMG Italy.
• Claudia Saran: Head of Industrial Manufacturing at KPMG in the US.

How KPMG Can Help

KPMG offers digital transformation consulting services tailored for industrial manufacturing, including:

• AI development platforms and prebuilt AI solutions.
• Cybersecurity strategies for protecting internal data networks.
• Data governance and interoperability support to enable holistic data analysis.
• Subscription-based Managed Services to create scalable and agile business functions.

Conclusion

Industrial manufacturing is leading the charge in digital transformation, particularly in AI adoption. However, to fully realize its potential, the sector must address data integration, cybersecurity, and workforce development challenges. KPMG provides the expertise and tools needed to support this journey, helping manufacturers evolve, innovate, and stay ahead in a rapidly changing industry landscape.