KPMG Global tech report 2026: Automotive

Senior automotive leaders today face a decisive moment: the chance to convert disruption into strategic momentum powered by AI, data, and digital technologies.

Drawing on perspectives from technology leaders across five critical automotive sub‑segments; OEMs, commercial vehicle manufacturers, Tier‑1 suppliers, new technology component providers, and mobility solution providers, this report shares a grounded view as to where organisations truly stand in their technology and transformation journey. Their insights reveal not only the barriers slowing industry‑wide progress, but also the bold decisions required for leaders to enter the Intelligent Age at-scale and with confidence.

Key findings from our research

KPMG Global tech report 2026: Automotive

Grounded in input from senior tech executives across five automotive sub‑segments, this analysis outlines the industry’s true maturity and what it may take to move boldly into the Intelligent Age.

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For India’s automotive sector, the findings reinforce that competitiveness will increasingly depend on how effectively organisations scale AI, data and digital technologies. These capabilities must move beyond pilots and into engineering, manufacturing, supply chains and customer-facing operations. Strong data foundations, clear governance and disciplined execution will be essential to convert technology investments into measurable value. As vehicles become more connected, software-enabled and intelligent, resilient digital capabilities will be critical to sustaining growth, and remaining competitive in the Intelligent Age.

Jeffry Jacob

Partner and National Sector Leader, Automotive

KPMG in India

Why download this report?

In this report, read how your automotive organisation can:

Move from pilots to platform‑scale execution by adopting standardised architectures, enforcing ‘golden paths’, and industrialising MLOps and data governance to accelerate AI deployment
Treat governance as a performance accelerator rather than a constraint, enabling decentralised digital innovation where safe, while reinforcing cybersecurity, responsible AI principles, and rigorous software‑update controls across all technologies
Prioritise technologies that deliver scalable ROI and capture the highest returns by building standardised digital capabilities that support real‑time data flows, AI-powered automation, and enterprise‑wide efficiency