PTC highlights AI and data integration for automotive engineering transformation

PTC emphasized the growing need for connected data, AI-driven engineering, and integrated ALM-PLM systems as vehicles become software-defined and upgradeable. At PTC’s automotive executive exchange in New Delhi, leaders discussed how these trends are reshaping the automotive industry. The company introduced its “Intelligent Product Lifecycle” framework to help manufacturers manage engineering complexity, accelerate development, and meet regulatory demands.

Key Highlights

• PTC presented the Intelligent Product Lifecycle for managing automotive engineering complexity
• Global AI spending expected to reach 16 trillion dollars by 2026, with India contributing 200 billion
• Modern vehicles now require up to 500000 requirements compared to seven in the 1930s
• India hosts 32 percent of PTC's global workforce and a major R&D center in Pune
• Volvo Eicher Commercial Vehicles reported a 54 percent rise in full-year export volumes

AI Adoption and Data Foundations

Rob Dahdah, speaking at the event, noted that AI adoption in manufacturing is accelerating. However, many early AI deployments have yielded limited results due to a lack of connected and contextualized data. Dahdah stated, “The quality of your data will determine your AI ceiling.” He stressed that industries like automotive cannot depend on probable outcomes from AI systems.

Dahdah projected that global AI spending will reach $1.6 trillion by 2026, with India contributing nearly $200 billion. The industry is now moving from experimentation to building connected digital engineering environments. These environments allow AI to operate across design, manufacturing, and service ecosystems.

Unified Digital Engineering Strategies

PTC outlined its “Intelligent Product Lifecycle” strategy, which integrates CAD, PLM, ALM, and service lifecycle systems. This unified digital thread supports AI-driven workflows. Dahdah referenced automotive manufacturers such as Lamborghini, noting that companies with established connected engineering and manufacturing environments are better prepared to use AI throughout product development.

Upkar Saini highlighted India’s increasing role in the global automotive and engineering landscape. India now accounts for 32 percent of PTC’s global workforce and hosts one of its largest R&D centers in Pune. Saini described India as being at an “inflection point” in automotive transformation. He pointed to ongoing opportunities in passenger vehicle and SUV electrification, even as electric vehicle adoption in two- and three-wheelers grows. Saini emphasized the need for integrated engineering, manufacturing, and service workflows to avoid siloed operations.

Complexity of Software-Defined Vehicles

Michele Del Mondo addressed the challenges of software-defined and autonomous vehicles. He explained that traditional engineering approaches are no longer sufficient. Modern vehicles may involve up to 500,000 requirements, compared to just seven in the 1930s. This shift increases the complexity of engineering, validation, and compliance. Del Mondo said, “There is no finish line anymore,” referring to the ongoing updates required for software-enabled vehicles. He stressed the importance of integrated ALM-PLM toolchains that connect mechanical, electrical, and software domains in real time.

The event also featured presentations on fuel-agnostic engine development and “left shift" engineering approaches. A panel discussion on connected cars and smart ecosystems included executives from HCL Tech, PMI Electro Mobility, and Volvo Eicher Commercial Vehicles. Volvo Eicher Commercial Vehicles reported a 54 percent rise in full-year export volumes and anticipates single-digit industry growth for the next fiscal year. The company plans to absorb some rising commodity costs to support domestic sales.

Also Read: EV Makers Face Margin Pressure Amid Rising Raw Material and Chip Costs

CarBike 360 Says

​PTC’s focus on AI and data integration signals a decisive shift toward smarter, more connected automotive engineering. By enabling real-time insights and streamlined development cycles, these technologies are helping automakers reduce complexity while accelerating innovation. As the industry evolves, such digital-first approaches will play a critical role in shaping next-generation vehicles and maintaining competitive advantage.