Manufacturing is at an inflection point. Increasing demand for more sustainable practices while maintaining productivity, quality and profitability pushes manufacturers to be more creative in solving their top challenges. Emerging technologies like AI are becoming a preferred choice. In fact, according to a recent report by, the global AI in manufacturing market is projected to increase at a compound annual growth rate of 45.6% until 2028, reaching $20.8 billion.
However, adopting AI is not without its challenges. I have seen these challenges firsthand through the eyes of an entrepreneur with multiple successful startups and currently as the CEO of ProcessMiner, a leading provider of AI-driven solutions for manufacturing.
This sluggishness can be attributed to several factors, establishing a dichotomy between risk and opportunity:One of the primary barriers to adoption is the upfront implementation cost. Implementing new technologies often requires investment in equipment and restructuring existing processes and systems. These costs can be prohibitive for many manufacturers, particularly small- to medium-sized enterprises.Manufacturing facilities often operate with a blend of old and new technologies.
Focusing on these steps can lay a strong foundation for integrating advanced technologies into your manufacturing processes, ensuring a strategic approach aligned with your business objectives. This preparation and initial implementation phase are critical to overcoming typical adoption barriers and achieving long-term success.Understanding to what degree the above challenges play in your specific organization is the first step to addressing them.
By tackling these barriers head-on, manufacturers can better position themselves to harness the benefits of AI, leading to enhanced efficiency, reduced costs, and a stronger competitive edge in the market.
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