The global two-wheeler market reached 220 million units. Thirty seven percent of organizations now pilot or adopt AI. Safety regulations and cybersecurity standards shape how cameras, predictive maintenance, and connected systems enter motorcycle production and operations.
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
With growing two wheeler and connected bike volumes, EU safety and cybersecurity rules are accelerating AI adoption.
Related reading
01 · Category
Industry Output1 stats
01
The global two-wheeler market reached 220.0 million units in 2023
Interpretation
Industry Output Interpretation
The global two wheeler market hitting 220.0 million units in 2023 underscores strong industry output momentum, showing the motorcycle sector’s production and sales scale remains massive.
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
With EU Regulation 2019/2144 starting phased mandatory advanced safety features from July 2022, and alongside ISO 26262 and ISO/SAE 21434 setting required safety and cybersecurity lifecycles, AI in motorcycles is moving toward compliance that must be built into both safety functions and connected vehicle security from the start.
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 market size angle, the two wheeler and connected ecosystem are expanding fast, with the global motorcycle market at $81.1 billion in 2023 and the global two wheeler market projected to reach $232.7 billion by 2032, while segments like connected bikes are also set to grow to $10.3 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 moving from experimentation toward real implementation across industries like the motorcycle sector.
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
Operationally, AI is starting to deliver measurable reliability gains and faster sensing in motorcycle workflows, with machine learning cutting predictive maintenance errors by up to 30% and detection systems reaching over 30 FPS and above 90% accuracy, while cybersecurity requirements like UNECE R155 and R156 further emphasize that operational performance must now be paired with stricter software and cyber risk 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
Under today’s industry trends, safety and connectivity are accelerating at the same time, with speeding-related fatal crashes at 26% in the US in 2022 while EU connected eCall requirements take effect from March 2018 and the global smart helmets market is forecast to reach $1.6 billion by 2030.
Reference
Cite This Report
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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)