AI is reshaping the motorcycle industry across design, operations, and rider safety—supporting predictive maintenance, connected services, and smarter risk management. Along the way, regulations are tightening around advanced vehicle safety features, safety lifecycles for electrical systems, and cybersecurity plus software update practices. The result is a landscape where manufacturers, infrastructure, and riders must adapt as AI-enabled features phase in and connected ecosystems expand.
Key Takeaways
- The global two-wheeler market reached 220.0 million units in 2023
- The EU General Safety Regulation (Regulation (EU) 2019/2144) requires advanced safety features on new vehicles starting with phased implementation from July 2022
- ISO 26262 requires automotive safety lifecycle processes for vehicles with electrical/electronic systems, which is relevant for ADAS and safety functions enabled by AI
- ISO/SAE 21434 defines cybersecurity engineering for road vehicles, supporting AI-enabled connected and software-defined functions
- The global automotive cybersecurity market is projected to grow from $4.4 billion in 2023 to $15.8 billion by 2030
- The global AI in automotive market size is projected to reach $18.6 billion by 2030
- The global ADAS market is projected to grow to $67.6 billion by 2030
- In a 2023 survey by Gartner, 37% of organizations reported that they are actively piloting or adopting AI in their organizations
- The average cost of a data breach was $4.45 million in 2023 (IBM Cost of a Data Breach Report)
- EU cybersecurity requirement under UNECE R155 (Cybersecurity and cyber risk management) began phased implementation for new type approvals from July 2020 for applicable vehicle categories
- UNECE R156 (Software update and software update management system) requires management systems for software updates; it entered into force in 2021 for applicable approvals
- The share of fatal crashes involving speeding was 26% in the US in 2022 (AI speed-detection and risk scoring context)
- EU eCall regulation requires emergency call systems in new vehicle types from March 2018 (connected safety infrastructure used by AI triage)
- UNECE regulation R118 defines retroreflectors for motorcycles and other vehicles—constraints relevant for computer vision calibration in rider detection systems
Two wheelers are booming as EU safety and cybersecurity rules accelerate AI adoption for connected riding.
Related reading
01 · Category
Industry Output1 stats
01
The global two-wheeler market reached 220.0 million units in 2023
Interpretation
Industry Output Interpretation
In the industry output category, the global two wheeler market hitting 220.0 million units in 2023 signals strong overall production volume that AI applications can potentially scale alongside.
02 · Category
Safety & Compliance3 stats
01
The EU General Safety Regulation (Regulation (EU) 2019/2144) requires advanced safety features on new vehicles starting with phased implementation from July 2022
02
ISO 26262 requires automotive safety lifecycle processes for vehicles with electrical/electronic systems, which is relevant for ADAS and safety functions enabled by AI
03
ISO/SAE 21434 defines cybersecurity engineering for road vehicles, supporting AI-enabled connected and software-defined functions
Interpretation
Safety & Compliance Interpretation
Safety and compliance in the motorcycle industry is rapidly tightening as EU Regulation 2019/2144 rolls out advanced vehicle safety requirements for new models, while ISO 26262 and ISO/SAE 21434 expand the necessary safety lifecycle and cybersecurity engineering needed for AI enabled and connected road functions.
03 · Category
Market Size11 stats
01
The global automotive cybersecurity market is projected to grow from $4.4 billion in 2023 to $15.8 billion by 2030
02
The global AI in automotive market size is projected to reach $18.6 billion by 2030
03
The global ADAS market is projected to grow to $67.6 billion by 2030
04
The global connected car market is expected to reach $225.3 billion by 2030
05
The global automotive predictive maintenance market is projected to reach $28.7 billion by 2030
06
The global automotive computer vision market is expected to grow to $17.1 billion by 2030
07
The global motorcycle market was valued at $81.1 billion in 2023
08
The global two-wheeler market is expected to reach $232.7 billion by 2032
09
The global fleet management market is projected to grow to $37.3 billion by 2030
10
The global telematics market is projected to reach $52.9 billion by 2028
11
The global motorcycle telematics/connected bike segment is projected to reach $10.3 billion by 2030
Interpretation
Market Size Interpretation
For the motorcycle industry, the market-size picture is rapidly expanding as AI and vehicle intelligence investments scale up, including the AI in automotive market reaching $18.6 billion by 2030 and connected cars growing to $225.3 billion by 2030.
More related reading
04 · Category
Ai Adoption1 stats
01
In a 2023 survey by Gartner, 37% of organizations reported that they are actively piloting or adopting AI in their organizations
Interpretation
Ai Adoption Interpretation
A 2023 Gartner survey found that 37% of organizations are actively piloting or adopting AI, signaling that AI adoption is already moving beyond experimentation in the industry.
05 · Category
Operational Impact8 stats
01
The average cost of a data breach was $4.45 million in 2023 (IBM Cost of a Data Breach Report)
02
EU cybersecurity requirement under UNECE R155 (Cybersecurity and cyber risk management) began phased implementation for new type approvals from July 2020 for applicable vehicle categories
03
UNECE R156 (Software update and software update management system) requires management systems for software updates; it entered into force in 2021 for applicable approvals
04
In a study by MIT Sloan, machine learning models reduced error rates by up to 30% in predictive maintenance tasks (general manufacturing evidence)
05
A 2020 peer-reviewed study in Applied Sciences found computer-vision-based motorcycle detection achieved F1-scores between 0.70 and 0.90 depending on dataset and architecture
06
A 2021 Sensors journal paper reported that a deep-learning approach for motorcycle helmet detection achieved detection accuracy above 90% in controlled evaluation
07
A 2022 IEEE Access study reported that a real-time object detection system for motorcycle-related events achieved over 30 FPS (frames per second) on tested hardware
08
A 2019 IEEE paper on AI-based fault diagnosis for vehicle components reported average diagnostic accuracy of 95% for tested datasets
Interpretation
Operational Impact Interpretation
Operational Impact is increasingly shaped by AI-driven reliability gains and tighter cyber safeguards, as evidence ranges from machine learning cutting predictive maintenance error rates by up to 30% to deep-learning improving motorcycle helmet detection to over 90% while rising cybersecurity pressures are reflected in the $4.45 million average 2023 data breach cost and new UNECE R155 and R156 requirements for cybersecurity and software update management.
06 · Category
Industry Trends8 stats
01
The share of fatal crashes involving speeding was 26% in the US in 2022 (AI speed-detection and risk scoring context)
02
EU eCall regulation requires emergency call systems in new vehicle types from March 2018 (connected safety infrastructure used by AI triage)
03
UNECE regulation R118 defines retroreflectors for motorcycles and other vehicles—constraints relevant for computer vision calibration in rider detection systems
04
The global smart helmets market is forecast to reach $1.6 billion by 2030 (AI-enabled detection and connectivity trend)
05
The global motorcycle helmet market reached $4.3 billion in 2023 (connected/AI helmet adjacency)
06
The global computer vision market size is expected to grow to $48.6 billion by 2030 (enabling trend for motorcycle detection and monitoring)
07
The global telematics market reached $21.0 billion in 2022 (connected motorcycle ecosystem trend)
08
In the EU, the number of people killed in road traffic in 2022 was 20,662 (trend context for AI-based safety enforcement)
Interpretation
Industry Trends Interpretation
Across the industry trends, AI is increasingly aligned with safety and connected hardware as shown by the 26% share of US fatal crashes involving speeding in 2022 and the growth of enabling tech markets like computer vision expected to reach $48.6 billion by 2030 and smart helmets forecast to hit $1.6 billion by 2030.
Reference
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.
APA
David Sutherland. (2026, February 13). AI In The Motorcycle Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-motorcycle-industry-statistics
MLA
David Sutherland. "AI In The Motorcycle Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-motorcycle-industry-statistics.
Chicago
David Sutherland. 2026. "AI In The Motorcycle Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-motorcycle-industry-statistics.
Sources & references
32 datasets cited across this report · attribution is report-level
+17 additional datasets cited (not shown individually)