Aras has shared key findings about the adoption of artificial intelligence (AI) in product development from its new report, “The Future of Product Lifecycle Management and Digital Engineering.”
The research found that the adoption of AI is already having an impact on the future of product development and manufacturing:
“Incorporating AI into product development isn’t just about keeping up—it’s about staying ahead,” says Roque Martin, CEO of Aras. “Aras enables AI-driven innovation with secure, governed integration, ensuring insights are accessible only to authorized users. This empowers manufacturers to harness AI and advanced analytics to design smarter, more connected products while protecting their intellectual property.”
The research also highlights the key challenges in product development that are driving the shift to AI: 35% of companies cite production costs as their biggest hurdle, 34% struggle with product complexity, while regulatory compliance and accelerating time-to-market each concern 33% of respondents. Sustainability remains important, with 32% of companies pointing to its growing role in strategic planning.
Commitment to investment in AI for product development is strongest in the United States, where 98% of companies plan to expand their use of AI over the next 2 years, compared to just 70% in Japan and 92% in the DACH region. This momentum reflects the growing impact of AI in areas such as process optimization, workflow automation, generative design, and market forecasting, according to Aras.
The survey also reveals that 88% of companies believe they should invest more in product development software, with the United States and DACH regions again showing significantly more interest than Japan. France is the most forward-looking country, with 95% of companies saying they should increase spending in this area.
Despite enthusiasm, challenges do remain. Security and intellectual property concerns top the list at 69%, while 65% of manufacturers say they lack the skills to fully leverage AI, and 64% report that they struggle with siloed data.
AI plays a central role in product development. However, successful AI integration depends on data sharing and collaboration across departments. A flexible PLM solution, combined with a strong digital thread, provides the necessary foundation for effective AI implementation.
“The Future of Product Lifecycle Management and Digital Engineering” is a survey based on insights from 656 executives in Europe, the United States, and Japan. It examines how leading automotive, aerospace, and machinery manufacturers (revenues >$40M) are addressing AI adoption, digital thread integration, regulatory compliance, and more.
Sources: Press materials received from the company and additional information gleaned from the company’s website.


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