Stellantis Plans for $22.5b in Connected Services Revenue by 2030
Recurring subscriptions for connected services around driver assistance features, geolocation, and infotainment options will become vital revenue streams for automakers as part of the transition to electric vehicles.

Three AI-powered, technology platforms will be deployed at scale, starting in 2024: STLA Brain, STLA SmartCockpit, and STLA AutoDrive.
Photo: Stellantis
Stellantis N.V. announced its software strategy to deploy next-generation tech platforms, building on existing connected vehicle capabilities to transform how customers interact with their vehicles, and to generate approximately $22.5 billion in incremental annual revenues by 2030, according to the company's press announcement.
This transformation will move Stellantis’ vehicles to an open software-defined platform that integrates with customers’ digital lives. It also expands the options customers have to add features and services via regular over-the-air (OTA) updates keeping vehicles updated years after they have been built.
“Our electrification and software strategies will support the shift to become a sustainable mobility tech company to lead the pack, leveraging the associated business growth with over-the-air features and services and delivering the best experience to our customers,” said Carlos Tavares, Stellantis CEO. “With the three all-new, AI-powered, technology platforms to arrive in 2024, deployed across the four STLA vehicle platforms, we will leverage the speed and agility associated with the decoupling of hardware and software cycles.”
Stellantis said it plans to invest more than €33.8 billion through 2025 to execute its software and electrification transformation.
The Stellantis software strategy works with the company’s vehicle electrification plans, detailed at EV Day in July 2021. The strategy targets that more than 70% of its vehicle sales in Europe and more than 40% of vehicle sales in the U.S. will be low-emission vehicles (LEV) by 2030.
More Telematics

How AI Can Help Fleet Managers Build Their Own Solutions
Syneos Health Fleet Manager Kristin Leary is exploring how AI-powered development tools, telematics data, and predictive analytics could help fleets solve operational challenges without waiting for a vendor roadmap.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-Time Prevention (Part 2 of 2)
Part Two: Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Continue learning more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab
Read More →
100% Fleet Uptime? Here's Stellantis' Strategy
Keeping commercial vehicles on the road is becoming just as important as getting them into service. Stellantis’ U.S. fleet chief Michael Ferreira shares how connected technology and AI are changing the way fleets manage uptime.
Read More →
Waymo vs. Tesla Robotaxi: Side-by-Side Ride-Hailing Test Highlights Different Approaches to Autonomy
Video comparison in Austin contrasts traditional Uber service with autonomous offerings from Waymo and Tesla Robotaxi.
Read More →
Paying for a Fire Hose, Drinking from a Garden Hose: Getting the Full Value of Your Telematics
Why fleets struggle to turn telematics data into real-world results and how to fix it.
Read More →
Building Smarter Cybersecurity Policies for Fleet Operations
As fleet operations become increasingly connected, cybersecurity can no longer be treated as an IT issue alone. Building effective policies requires a proactive approach that protects vehicles, data, and operational systems while ensuring employees, vendors, and technology partners follow consistent security standards.
Read More →
Turning Connected Vehicle Data Into Decisions That Matter
Fleet leaders have more data than ever, but turning that data into clear, actionable decisions remains a challenge. This white paper shows how leading organizations are using connected vehicle data to improve safety, reduce costs, and optimize fleet performance. Learn how to turn insight into action across your fleet.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-time Prevention
Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Learn more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab.
Read More →
The Predictive Pivot: How AI and Data Are Redefining Auto Logistics in 2026
AI is no longer a luxury but the baseline for profitability in 2026. Auto haulers that adopt these tools now will quickly outpace those that use manual workflows or take a wait-and-see approach.
Read More →
How 5-Second Telematics Data Is Changing Fleet Safety
More detailed telematics data is giving fleets a clearer picture of what happens before a crash. Here’s why 5-second data matters.
Read More →
