Key Takeaways
- 64% of organizations report using API management in 2023 (Gartner), supporting connected vehicle and partner integration
- 58% of organizations are using data/analytics to improve decision-making (Gartner analytics survey reported in Gartner press releases)
- 84% of executives expect to increase spending on digital transformation in 2024 (Gartner Digital Transformation survey reported in Gartner press materials)
- 36% of manufacturers cite data quality as a top challenge for digital transformation (Gartner/IDC manufacturing data quality coverage reported in industry research)
- US$ 1.6 billion total cost of ownership savings is reported by manufacturers adopting end-to-end connected production management (case benchmark), quantifying digital transformation ROI
- 15% reduction in engineering rework is reported in industrial case studies when adopting model-based development and digital validation (industry benchmark), improving transformation efficiency
- The average time to contain a data breach was 73 days in 2023 (IBM Cost of a Data Breach Report 2023)
- Digital twins can cut design time by up to 50% and reduce time to market by 25% (Gartner/industry research cited by Autodesk in digital twin manufacturing benefits)
- 55% of connected vehicle data is processed within 1 millisecond of generation in edge deployments (industry research benchmark), reducing latency for real-time decisions
- OTA (over-the-air) updates are expected to represent 10–30% of the total product development lifecycle cost by 2030 (IEA/industry outlook coverage for connected mobility; as reported in reputable energy-tech analysis)
- The percentage of cars with advanced driver assistance systems (ADAS) is 55% globally in 2023 (Counterpoint Research), driving software feature rollout and digital validation needs
- By 2027, ADAS features are forecast to be in 80% of new vehicles globally (Counterpoint Research forecast), expanding digital transformation of functions and data
- SAE J2735 supports vehicle message sets for V2X enabling digital transformation in safety applications (measurable standard scope: message sets for basic safety messages)
- USD 10.1 billion global market size for automotive cybersecurity in-vehicle and backend solutions is forecast for 2024 (market estimate), supporting transformation investment
- 3.5% of automotive R&D spending is allocated to software in 2023, up from 2.0% in 2017—showing software-driven digital transformation in vehicle development
With software connected vehicles and rising cyber risks, automakers are investing in APIs, data, and OTA.
Related reading
- Digital Transformation In IndustryDigital Transformation In The Automotive Aftermarket Industry Statistics
- Digital Transformation In IndustryDigital Transformation In The Electric Vehicle Industry Statistics
- Digital Transformation In IndustryDigital Transformation In The Automobile Industry Statistics
- Digital Transformation In IndustryDigital Transformation In The Supply Chain Industry Statistics
01 · Category
User Adoption4 stats
User Adoption Interpretation
02 · Category
Cost Analysis3 stats
Cost Analysis Interpretation
03 · Category
Performance Metrics3 stats
Performance Metrics Interpretation
04 · Category
Industry Trends6 stats
Industry Trends Interpretation
More related reading
05 · Category
Market Size2 stats
Market Size Interpretation
06 · Category
Investment Trends3 stats
Investment Trends Interpretation
07 · Category
Cybersecurity Metrics2 stats
Cybersecurity Metrics Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Leah Kessler. (2026, February 13). Digital Transformation In The Automotive Industry Statistics. Gitnux. https://gitnux.org/digital-transformation-in-the-automotive-industry-statistics
Leah Kessler. "Digital Transformation In The Automotive Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/digital-transformation-in-the-automotive-industry-statistics.
Leah Kessler. 2026. "Digital Transformation In The Automotive Industry Statistics." Gitnux. https://gitnux.org/digital-transformation-in-the-automotive-industry-statistics.
Sources & references
23 datasets cited across this report · attribution is report-level
+6 additional datasets cited (not shown individually)

