Key takeaways
- Global automotive software and electronics market is projected to reach $462 billion by 2030, driven by connected and autonomous vehicles, while traditional vehicle markets grow only 1% annually.
- Selection criteria for automotive data analytics companies include compliance with standards like Automotive SPICE and ISO 26262, proven experience with named OEMs, and partnerships with cloud providers like AWS and Microsoft Azure.
- Capgemini's ADAS platform processes petabytes of data for a global OEM, while IBM's Connected Vehicle Insights platform integrates data from onboard sensors, showcasing the scale of analytics capabilities in the industry.
- Key risks include inadequate vendor certifications and lack of production track records, which can lead to project failures or compliance issues, emphasizing the need for thorough vendor evaluation.
- Decision-makers should prioritize vendors with demonstrated automotive expertise, robust data handling capabilities, and proven success in delivering multi-year programs to ensure effective data analytics solutions.
How much of the data your vehicles, plants and dealers produce ends up in a decision? According to McKinsey, the global automotive software and electronics market is expected to reach $462 billion by 2030, growing at 5.5% per year from 2019, while the passenger car and light commercial vehicle market grows only about 1% per year. Connected and autonomous vehicles are a large part of that growth, and each one adds to the volume of data carmakers have to process. Many companies struggle to consolidate and analyze it within tight time frames, so they bring in a partner with automotive expertise to take on all or part of the work.
To help automotive leaders choose, the N-iX team compiled a list of 11 automotive data analytics companies for 2026 and assessed them on automotive certifications, data and analytics experience, technology partnerships, scale, and independent validation.
Selection criteria
We assessed each vendor on the same five points, so the list reflects delivery capability:
- Automotive certifications and standards. Automotive SPICE, ISO 26262 (functional safety), ISO/SAE 21434 or TISAX where relevant, plus ISO 27001 for information security.
- Data and analytics expertise. Proven work in connected-vehicle data, predictive maintenance, fleet and telematics analytics, or manufacturing analytics, backed by published case studies or named OEM / Tier-1 clients.
- Technology partnerships. Cloud and data platform status with AWS, Microsoft Azure or Google Cloud, and relevant data-engineering certifications.
- Scale and stability. Team size, delivery footprint, and a track record of multi-year programs, not just one-off projects.
- Independent validation. Verified client reviews (for example on Clutch), industry recognition, and engineer retention where the company publishes it.
Most reliable automotive data companies around the globe
1. Capgemini
Headquartered in Paris, this global services group has more than 350,000 professionals in 50 countries. Its engineering arm built an end-to-end ADAS data platform for a global OEM, handling petabytes of validation and verification data. The same collaboration included a government-funded project, running since July 2020, to accelerate autonomous vehicle development. The group has been a strategic Databricks partner since June 2018 and holds Elite Tier status, with data engineering tools such as Databricks on IDEA for vehicle data analytics workloads.
2. IBM
The technology group, founded in 1911, was a pilot partner for BMW’s CarData platform, connecting its cloud to vehicle data analyzed with Watson IoT. It also offered to act as a neutral server for vehicle data from additional manufacturers. Its Connected Vehicle Insights platform collects data from onboard sensors and systems for connected vehicle data analytics. Today its consulting arm builds data fabric architectures and modernization programs on AWS, Databricks, Microsoft, Salesforce, and Snowflake.
3. N-iX
N-iX is one of the leading automotive data analytics companies. The vendor is trusted by major enterprises such as AVL, Fluke Corporation, Gogo, Cardo Systems, and many others. N-iX team has deep expertise in a wide range of technologies, including cloud computing, Big Data, AI, Machine Learning, Generative AI, data analytics, IoT, embedded systems, and robotic process automation. This diverse skill set allows us to create innovative, connected, and accessible solutions for the automotive sector.
N-iX services for the automotive industry encompass full-cycle development in areas such as:
- Connected vehicle solutions: Implementing cloud, Big Data platforms, and Vehicle-to-Everything (V2X) technologies.
- AI/ML-powered predictive maintenance: Developing Machine Learning systems that analyze data from multiple sources, identify patterns, and provide actionable insights.
- AR/VR applications: Creating marker-based augmented reality apps and large-scale virtual reality simulations.
- Embedded IoT applications: Building fleet management solutions and in-car entertainment systems.
- Comprehensive automotive testing: Focusing on longitudinal and lateral control, complex stabilization, and collision detection.
- AI-powered self-driving systems: Developing advanced driver assistance systems (ADAS) and highly autonomous driving (HAD) technologies.
- Electric vehicle (EV) charging solutions: Offering EV charger development and modernization of legacy systems.
- Safety, monitoring, and driving assistance systems: Providing a range of technologies to enhance vehicle safety and driver assistance.
Additionally, N-iX stands out as a top consulting provider for automotive software projects. We offer strategic consulting services to help automotive enterprises create technology roadmaps, prioritize initiatives, and optimize IT operations.
4. CI&T
Listed on the NYSE, this technology company has around 5,000 professionals and a 30-year track record. ISG named it a Rising Star in the Automotive Retail and Aftermarket quadrant of its 2025 Automotive and Mobility Services and Solutions report, noting its use of data analytics and OEM partnerships. Its automotive clients include Volkswagen, Audi, Lithia, and Ford, and it became Digital Agency of Record for Volkswagen of America in July 2025. Its data services cover data modernization, governance, master data, and data engineering on Databricks, Snowflake, Google Cloud, AWS, and Azure.
5. Accenture
This global professional services firm offers a Connected Vehicle Business Service that covers telematics platforms and data integration for automotive and heavy equipment companies and Tier 1 suppliers. Snowflake lists it among the system integrator partners for its AI Data Cloud for automotive manufacturing. A dedicated Databricks business group puts Databricks at the center of its data and AI work. Its automotive data analytics services include connected services for Fiat-Chrysler’s Uconnect systems in EMEA.
6. GlobalLogic
This engineering services provider has more than 34,000 professionals across 14 countries and has been part of the Hitachi Group since 2021. It holds the AWS Automotive Services Competency and works with Stellantis on its software-defined vehicle platform. Its IoT and big data background supports IoT automotive data analytics, alongside in-vehicle electronics, ADAS, and cloud platform work.
7. SoftServe
Founded in 1993 and headquartered in Austin, Texas, this company has around 13,000 engineers. For an automotive software provider serving OEMs such as Ford and Hyundai, it built a demand analytics solution that tracks customer behavior across vehicle configurations. Its Intelligent Mobility Platform on Google Cloud supported a Tennessee mobility consortium with a prototype for sharing real-time vehicle data insights. Together, these projects form its big data analytics work in the automotive industry.
8. Avenga
Formed in 2019 from four companies in Poland, Ukraine, the US and Germany, this Cologne-headquartered firm has more than 6,000 specialists. Its portfolio covers life sciences, insurance, finance and automotive, including data analytics for the automotive industry.
9. Softweb Solutions
This technology services company joined Avnet in the 2018 acquisition, which added its AI software for IoT applications and data services to Avnet’s offering. Its data services span big data, data engineering, warehousing, and data visualization, with more than 350 dashboards delivered in Power BI and Tableau. In automotive, it built an IoT solution for automobile parts manufacturer Wells Vehicle Electronics, including a mobile app to monitor engine data and vehicle performance in real time.
10. Yalantis
Founded in 2008, this company has more than 450 employees, offices in Ukraine, Cyprus, and Poland, and an in-house R&D lab in Warsaw. It holds ISO 9001 and ISO/IEC 27001 certificates. Its automotive IoT services cover connected vehicle systems that integrate firmware, cellular layers, cloud backends, and mobile apps for OEMs, mobility startups, and fleet operators. Clutch lists BI and big data consulting among its services, and client work includes a SaaS fleet management system and a platform for an EV charging network.
11. TCS
This IT services company has around 600,000 employees and serves automotive clients through its Autoscape suite, launched in January 2021. The connected car data analytics offering includes a Connected Insights module for predictive maintenance and data monetization. A separate autonomous vehicle suite covers AV data services, including data annotation and validation.
12. Infosys
This IT services group has more than 300,000 professionals and a dedicated automotive practice covering connected vehicle platforms, telematics, and analytics. For a multinational automaker, it built a big data platform on Microsoft Azure with Apache Kafka that generates real-time insights from about 60 million telemetry reports a day, supporting predictive maintenance alerts and data monetization. Its Asset Genome solution turns connected vehicle data into predictive insights across engineering, operations, and maintenance systems. It has been a Databricks Global Elite Partner for eight years.
How to choose an automotive data analytics company
Not every vendor with "automotive" on its industries page can run a data program for a carmaker. Before you talk to anyone, decide whether you need a team to execute a defined backlog, a partner to design the data platform, or specialist skills added to your own team.
|
Criteria |
What to look for |
Red flags |
|
Automotive standards |
Automotive SPICE, ISO 26262, TISAX or ISO/SAE 21434 where relevant, with certificate scope |
Standards named on the website but no certificate or scope |
|
Vehicle data experience |
Named OEM or Tier-1 projects in telematics, connected-vehicle or manufacturing data |
Automotive appears only as a logo or a line in a list |
|
Data platform skills |
Streaming and IoT ingestion, cloud partner status, data governance |
Only dashboards and BI, no pipeline engineering |
|
Privacy and compliance |
GDPR handling of driver and vehicle data, data residency options |
Privacy not mentioned in the proposal |
|
Production track record |
ML models running in production, with measured results |
Only proofs of concept and demos |
|
Team and scale |
A dedicated automotive unit and the capacity to ramp up |
Small bench shared across many industries |
|
Post-launch support |
Monitoring, maintenance and iteration after delivery |
Engagement ends at deployment |
|
Independent validation |
Clutch or analyst coverage describing data work |
No reviews, or reviews unrelated to data projects |
A useful test is the first call. A good vendor can name the platforms it would use, the data volumes it has handled, and the certificates it holds without checking.
Why choose N-iX among automotive data analytics companies?
N-iX combines automotive engineering with enterprise data work, so one partner can cover the vehicle, the cloud platform and the analytics on top.
- Automotive standards. Our solutions comply with Automotive SPICE, ISO 9001 and ISO 26262.
- Scale. More than 2,400 professionals in 25 countries across Europe and the Americas.
- Enterprise clients. We work with Fortune 500 companies and large-scale projects, including AVL, Fluke Corporation, Gogo and Cardo Systems.
- Full-cycle services. From consulting to team extension and custom solutions, including connected vehicle platforms and predictive maintenance.
- Security and cloud partnerships. [ISO 27001, SOC 2 Type 2, AWS Premier Tier, Microsoft Solutions Partner.
- Strategic consulting. We help automotive enterprises build technology roadmaps and prioritize initiatives.
FAQ
What is automotive data analytics, and what are its main types?
Automotive data analytics is the collection and analysis of data from vehicles, factories, supply chains and dealerships to support decisions. It comes in four main types. Descriptive analytics reports what happened, such as warranty claims or sales by region. Diagnostic analytics finds why, for example the root cause of a recurring fault. Predictive analytics forecasts what will happen, as in predictive maintenance. Prescriptive analytics recommends what to do, such as service actions or an adjusted production schedule.
What do automotive data analytics companies do?
They build the platforms and models that turn vehicle and operational data into decisions. Typical work includes connected-vehicle platforms, telematics and fleet analytics, predictive maintenance models, quality control, and supply chain optimization. N-iX, for example, builds connected vehicle solutions on cloud and big data platforms and ML-powered predictive maintenance systems.
How is an automotive data analytics vendor different from a vehicle data provider?
Data providers such as StreetLight Data and High Mobility sell access to vehicle data or analytics products built on it. The companies on this list design the pipelines, platforms and models that work on your own data, whether it comes from your vehicles, plants or dealers. A vendor can also connect your platform to provider data when you need it.
Which certifications matter most?
For software that touches vehicles, Automotive SPICE and ISO 26262 matter most, with TISAX or ISO/SAE 21434 where security is in scope. ISO 27001 covers information security in general. N-iX solutions comply with Automotive SPICE, ISO 9001 and ISO 26262. Ask any vendor for certificate numbers and scope, not only logos.
How do I choose an automotive data analytics company?
Start with what you need: a team to execute a defined backlog, a partner to design the data platform, or specialist skills added to your own team. Large groups such as Capgemini, Accenture, IBM, TCS and Infosys suit global, multi-year programs with formal governance. Engineering-led firms such as N-iX, Yalantis and Softweb Solutions tend to offer closer access to senior engineers. Then check for named OEM or Tier-1 projects, platform experience on your cloud, privacy practices for driver data, and post-launch support.
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