The autonomous future is nearly upon us. Every day seems to bring a fresh wave of headlines involving autonomous cars or self-driving trucks. Users are taking more than 700,000 autonomous taxi rides each week, according to McKinsey, while the first autonomous truck pilots are starting to hit the pavement. European countries have already hosted 35 different autonomous vehicle pilots, as well.

With the autonomous future finally arriving, the need for autonomous vehicle APIs is about to skyrocket. Analysts are predicting that the autonomous vehicle market is going to see a 17.4% CAGR from 2025 to 2033. Autonomous cars and trucks were also one of the hottest subjects at this year’s Consumer Electronics Show (CES). The need for reliable, scalable, secure autonomous vehicle APIs is going to be a reality for many developers sooner rather than later. With that in mind, we’ve put together a guide telling you everything you need to know about autonomous vehicle APIs.

What Are Autonomous Vehicle APIs?

Autonomous vehicle APIs, also known as software-defined vehicle APIs or self-driving vehicle APIs, are software intermediaries that allow a vehicle to communicate, exchange data, or be controlled via an external application or the cloud. This can be anything from driving the autonomous vehicle to controlling the air conditioning via an API. Suffice it to say, software-defined vehicle APIs can cover a lot of ground, as APIs can interface with autonomous vehicles in many different ways.

Types of autonomous vehicle APIs include:

• REST-based vehicle-to-cloud APIs: Connect the vehicle to cloud-based services, for example, remote monitoring or over-the-air (OTA) updates.
• Signal-to-service APIs: APIs for higher-level functions like opening doors or adjusting climate.
• Embedded-to-embedded APIs: Allow communication between embedded systems within the vehicle.
• Software-to-hardware APIs: APIs that allow software to interact with hardware like cameras, motors, or LiDAR systems.

Autonomous vehicle APIs tend to rely on two main architectures — ROS2, which stands for Robot Operating System 2, which tends to be used by researchers, and AUTOSAR, the official standard preferred by automotive manufacturers. Outdated research positions ROS2 against AUTOSAR, but developers have pivoted to recommending a collaborative approach.

Some autonomous vehicle manufacturers are even starting to develop their own developer platforms for third-party and middleware developers. These also need to be secured if developers want to guarantee that an autonomous driving system is completely secure.

Benefits of Autonomous Vehicle APIs

Self-driving vehicles promise to revolutionize transportation once they’re implemented properly. The Alliance for Automotive Innovation reports that driver behavior plays a factor in 94% of car crashes. Autonomous vehicle APIs promise to reduce accidents via driver assist technologies like blind spot monitoring or automated emergency braking handled locally within the vehicle, allowing the vehicle to keep latency under 100 milliseconds.

This improved safety promises to have all manner of downstream effects for driver safety. Fewer accidents mean fewer traffic jams, for instance, greatly reducing the likelihood of a fender bender. It’s even better for the environment, as fewer vehicles idling in traffic means less pollution being pumped into the stratosphere. Some analysts project that autonomous vehicle APIs could reduce fuel consumption by up to 10%.

Software-defined vehicle APIs aren’t just good for the environment. They’re also better for the vehicle itself. Vehicle APIs allow access to real-time diagnostic data, alerting the driver of anything from low gas or tire pressure to battery problems or clogged filters. Alerting drivers to problems as soon as they’re observed allows the driver to treat potential issues before they become major problems. It also helps optimize gas mileage while ensuring an autonomous vehicle is as safe as possible.

Who Uses Autonomous Vehicle APIs?

Autonomous vehicle APIs are used at every stage of the automotive industry. This makes getting a clear, concise answer about who’s using self-driving vehicle APIs slightly complicated, as it involves looking at several different sectors. Looking at the autonomous vehicle market itself is one way to get a feel for which sectors are working with autonomous vehicle APIs most heavily. The transportation industry leads the pack, by far, accounting for 84.1% of the autonomous vehicle industry. This segment includes the movement of both people and inventory. The defense industry makes up the other 15.9%.

Looking at the end users for autonomous vehicle chips sheds even more light on who’s using autonomous vehicle APIs and for what purpose. The logistics and transportation sector still leads the pack, by far, making up 65.9% of the market revenue share. This accounts for everything from fleet management to long-distance freight to last-mile delivery. Automotive, defense, and others make up the remaining 34.1%.

Academic researchers make up a third sector working with autonomous vehicle APIs and systems. A report from April 2025 shows researchers using an autonomous vehicle API for everything from sensing and perception to location and mapping, acting as the eyes, ears, and nervous system of an autonomous vehicle system.

Finally, middleware and third-party providers are a rapidly growing sector of software-defined vehicle APIs. Analysts forecast that the communication middleware for the autonomous driving industry is expected to expand by 11.8% CAGR from 2026 to 2033.

Autonomous Vehicle API Security Risks

Autonomous vehicles are complex ecosystems. They involve everything from sensors to electronic control units (ECUs) to communication modules, each of which is powered by APIs. This makes autonomous vehicles particularly vulnerable to malicious attackers, who could potentially enact a frightful amount of damage via a compromised autonomous vehicle API. Cybercriminals were able to breach the wireless connectivity of a Jeep Cherokee, for instance, allowing them to take over steering, braking, and accelerating.

Sensor spoofing and jamming are other common cybersecurity threats for software-defined vehicles. LiDAR spoofing can make the system think there are obstacles where there are none, for example, causing a vehicle to brake unexpectedly. The controller area network (CAN) bus has been found to be particularly vulnerable due to its lack of encryption and authentication.

Finally, firmware and software both represent significant vectors for cyberattack, as autonomous vehicles rely on OTA updates to function properly. Without proper encryption, code-signing, and integrity verification, attackers could potentially gain persistent control over vehicle functions.

Final Thoughts on Autonomous Vehicle APIs

Autonomous vehicles are actively rolling out in the US. For many cities worldwide, it’s not a matter of if but when they will be on the road. Autonomous vehicle APIs have the potential to do a lot of good, reducing the number of accidents if not eliminating them entirely. Software-defined vehicle APIs even promise to reduce pollution and unnecessary wear and tear — if they’re implemented properly. API security is always important, but it’s ten times as vital when it’s powering two tons of steel.