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Vision to Reality: Industrial Gen-AI Revolution

Explore the smart manufacturing technology investment that will trump all others in 2024.

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Prompted by inflationary pressures and rising energy costs, manufacturers are stepping up technology investment to counter risks. According to the 9th Annual State of Smart Manufacturing Report from Rockwell Automation, adoption of technology is seen by manufacturers as the best way to mitigate those external and internal risks.

According to the report, spending in this area increased 30% year-over-year, from 23% to 30% of operating budget, in the drive to find incremental efficiencies, and face the challenges of a tough operating climate and ongoing skills shortages.

Artificial Intelligence: Changing the Manufacturing Ecosystem

One of those technology investments is Generative AI (GenAI), or the AI techniques that learn a representation of artifacts from data, and use it to generate brand-new, unique artifacts that resemble but do not repeat the original data.

Over 1,500 manufacturers around the world contributed to this year’s State of Smart Manufacturing Report, and for the second year in a row, respondents cited a lack of skilled workforce as the top reason they will struggle to outpace the competition. Many will rely on new and emerging technology, like GenAI, to help fill skills gaps and amplify effort rather than replacing workers.

Top Priorities

In addition to addressing skilled workforce shortages, over the next three years, the areas most impacted by GenAI will be two of manufacturing’s evergreen concerns: maintaining quality and reducing risk, specifically cybersecurity.

In fact, quality control tops the chart for planned AI/machine learning use cases in 2024. That is why GenAI has rocketed up the technology priority list over the last 12 months, creating fierce demand for industrial applications embedded with this transformative technology.

Results in the State of Smart Manufacturing Report show that GenAI is core to technology strategies and roadmaps. Adopters are seeing tangible results, with only Cloud/SaaS delivering more ROI than GenAI and causal AI. According to survey respondents:

  • 83% anticipate using GenAI in their operations in 2024
  • GenAI is the #1 new area for technology investment over the next 12 months

Respondents believe those at the forefront of the manufacturing industry are using data to fuel AI and machine learning and optimize processes. However, those surveyed believe their own organizations use less than half of collected data effectively.

Get The Full Report

The State of Smart Manufacturing Report reveals optimism as advanced industrial operations technology delivers results that offer hope in the face of evolving economic conditions, labor shortages and skills gaps. The report explores emerging technologies like GenAI and their potential to alleviate the biggest manufacturing challenges of 2024.

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About This Research

The 9th annual edition of the State of Manufacturing Report is the largest to date: 1,567 decision-makers from 17 of the top manufacturing countries took part, nearly two-thirds of whom (64%) work for firms with over $1B in revenue. In association with Sapio Research, the State of Smart Manufacturing Report from Rockwell Automation surveyed the broadest audience yet, welcoming a global population that represents the modern manufacturing industry.

State of Smart Manufacturing Report Webinar Series

The 2024 State of Smart Manufacturing is our largest report to date, so we're digging deeper into the research with our State of Smart Manufacturing webinar series. Register now to explore everything you need to know from this year's report, including what's trending in manufacturing across the globe, key takeaways and more.

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Published April 29, 2024

Topics: Smart Manufacturing Cybersecurity

Jordan Reynolds
Jordan Reynolds
Vice President, Artificial Intelligence and Autonomy, Kalypso
Jordan is a data scientist, management consultant, and leader in digital transformation, with over 15 years of professional experience. He leads Kalypso's Data Science practice and is responsible for an extensive portfolio of clients in a diverse range of industries, including consumer products, high tech, industrial, automotive, aerospace and defense. His focus is on helping clients drive results from disruptive business models and emerging technology trends like artificial intelligence, hybrid modeling and optimization.
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