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U.S. Firms Embrace AI to Accelerate Digital Engineering

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Companies look to GenAI, agentic AI for streamlined product, service development as providers begin to offer early use cases, ISG Provider Lens™ report says

STAMFORD, Conn., April 24, 2025--(BUSINESS WIRE)--Enterprises in the U.S. are applying generative and agentic AI to all aspects of digital engineering, seeking more efficient product development and faster time to market, according to a new research report published today by Information Services Group (ISG) (Nasdaq: III), a global AI-centered technology research and advisory firm.

The 2025 ISG Provider Lens™ Digital Engineering Services report for the U.S. finds that companies recognize AI’s potential to streamline engineering tasks, including design, simulation, testing, operations and field services. AI-enabled digital engineering is triggering significant change in a wide range of industries, including chip design, life sciences, consumer products, precision manufacturing and financial services. The U.S. is fertile ground for AI adoption due to its digital maturity and entrepreneurial culture, and there is growing demand for services to support this transition.

"Digital design and engineering can be completely transformed with GenAI," said Matteo Gallina, ISG digital engineering solutions lead. "Companies in the U.S. are hungry for services to help them realize that potential."

Successful AI implementations can reduce costs, workforce requirements and development time, ISG says. For example, GenAI can create millions of possible product designs, replacing slow and costly development with rapid processes that reduce time to market. However, enterprises are demanding proven use cases for the technology, which few service providers can offer yet.

Much of the demand for AI services in the U.S. comes from fields where AI integration requires deep industry knowledge, ISG says. For example, in manufacturing processes such as chip lithography, AI could enable companies to identify failures in complex manufacturing equipment. AI models can be quickly trained on an almost unlimited amount of specialized domain knowledge. However, demand for vertical expertise by providers in this area still outstrips supply.

AI is also accelerating research and development and service delivery in pharmaceuticals, healthcare and life sciences, the report says. Agentic AI systems can autonomously analyze vast datasets to identify potential drug candidates and optimize clinical trial designs, reducing costs and bringing new therapies to market more quickly.

AI-powered digital engineering is also helping U.S. enterprises develop and deliver consumer services in collaboration with providers, ISG says. Companies are demanding implementations that comply with regulations and do not increase risk. For example, if a bank uses a GenAI tool to develop a loan approval bot, the bot’s actions need to be explainable, or the bank could be liable to lawsuits over issues such as discrimination. Privacy and data security are also significant concerns.