Coming Soon: A unified, AI-native view of automotive data
You’ll soon be able to access S&P Global Mobility data, news, and reports through a unified, AI-native platform. Sign up for updates, early access, and key milestones throughout 2026.
A unified intelligence platform built for automotive decision-makers
S&P Global Mobility is introducing a new, AI-native platform where authoritative intelligence is embedded across the entire experience, from insight discovery to analysis and expert engagement.
It will bring your trusted automotive data, forecasts, and insights relied on by leading automotive decision-makers together in a single, connected experience.
Today, you work across multiple datasets and systems. We are re-architecting that experience—so you can access everything in one unified environment and reach answers faster, with less manual effort.
By bringing together core forecast elements such as datasets, analyst intelligence, visualizations, and reports, the platform reduces the time, steps, and complexity required to generate meaningful insights.
The platform will launch with our forecast capabilities and continue to expand as it evolves.
Sign up to stay informed on launch timing and future updates.
S&P Global Mobility
"Partnering with S&P Global Mobility means benefiting from continuous innovation.
By unifying datasets and tools, we’re creating a more intuitive, connected experience—whether customers are analyzing forecasts, tracking EV adoption or strengthening supply-chain resilience—to support faster, more informed decisions."
Matteo Fini
Vice President, Automotive Supply Chain, Technology and Aftermarket
Capabilities and benefits: Why is this platform different?
By bringing relevant datasets, insights, and reports together in a single, connected experience, the platform reduces manual effort and helps teams reach decisions faster – without switching tools or rebuilding context.
As you use the new platform, it will learn your workflows and surface relevant datasets, insights, and reports--offering personalized recommendations across a connected experience
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