Global Leading Market Research Publisher QYResearch announces the release of its latest report “Two-Wheeler Intelligent Driving System – Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032”. Based on current situation and impact historical analysis (2021-2025) and forecast calculations (2026-2032), this report provides a comprehensive analysis of the global Two-Wheeler Intelligent Driving System market, including market size, share, demand, industry development status, and forecasts for the next few years.
The global market for Two-Wheeler Intelligent Driving System was estimated to be worth US$ 168 million in 2025 and is projected to reach US$ 266 million, growing at a CAGR of 6.9% from 2026 to 2032.
A Two-Wheeler Intelligent Driving System refers to the integration of advanced sensors, artificial intelligence (AI), connectivity, and control electronics into electric scooters, motorcycles, or e-bikes to enhance safety, convenience, and overall riding experience. These systems provide features such as adaptive cruise control, collision avoidance, lane-keeping assistance, obstacle detection, real-time navigation, energy-efficient riding modes, and predictive maintenance alerts. By leveraging vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, two-wheeler intelligent driving systems can optimize traffic flow, improve rider safety, and enable semi-autonomous or assisted riding. They are increasingly applied in urban mobility, shared micro-mobility services, and high-performance electric motorcycles, transforming traditional two-wheelers into connected, smart mobility solutions. In 2024, global Two-Wheeler Intelligent Driving System revenue reached approximately 159.1million.
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1. Industry Pain Points and the Shift Toward Smart Two-Wheeler Safety
Global two-wheeler accidents cause over 100,000 deaths annually (motorcycles, scooters, e-bikes). Contributing factors: poor visibility, lack of advanced braking, rider inexperience, and no collision avoidance systems. Two-wheeler intelligent driving systems address this with semi-autonomous riding features: adaptive cruise control, collision avoidance, lane-keeping assistance, obstacle detection, and V2X connectivity (vehicle-to-vehicle, vehicle-to-infrastructure). For riders, fleet operators, and OEMs, these systems reduce accident risk by 30-50%, improve traffic flow, and enable connected mobility.
2. Market Size, Production Volume, and Growth Trajectory (2024–2032)
According to QYResearch, the global two-wheeler intelligent driving system market was valued at US$ 168 million in 2025 and is projected to reach US$ 266 million by 2032, growing at a CAGR of 6.9%. In 2024, global revenue reached approximately US$ 159.1 million. Market growth is driven by three factors: rising two-wheeler sales (50+ million units annually), safety regulations (EU mandatory ABS for >125cc), and shared micro-mobility demand (scooter sharing, fleet management).
3. Six-Month Industry Update (October 2025–March 2026)
Recent market intelligence reveals four explosive developments:
- Cornering ABS adoption: New systems (BOSCH, Microchip) enable cornering ABS (lean-angle sensing), reducing crash risk by 40% in curves. Cornering ABS segment grew 20% year-over-year.
- V2X pilot projects: Qualcomm and Huawei launched V2V communication for motorcycles (warning of approaching vehicles at intersections). V2X segment grew 25% in 2025.
- AI-powered collision avoidance: Cameras and radar (Cerence, Abup) detect obstacles (pedestrians, vehicles, potholes) and apply brakes automatically (AEB). AI segment grew 30% year-over-year.
- Chinese OEM integration: Yadea, Niu, and Ninebot launched L2 systems (cornering ABS + traction control + V2X) on premium e-mopeds (US$ 3,000-5,000), capturing 25% market share.
4. Competitive Landscape and Key Suppliers
The market includes automotive Tier-1 suppliers, semiconductor companies, and e-moped OEMs:
- BOSCH (Germany – ABS, cornering ABS, traction control), Microchip (US – MCUs, ABS controllers), Qualcomm (US – V2X chipsets, 4G/5G), Yadea Technology (China – e-moped OEM), Jiangsu Niu Electric Technology (China – Niu, smart e-mopeds), Nine Tech Co., Ltd. (China – Ninebot, Segway), HUAWEI (China – IoT connectivity, V2X), Cerence Communications Technology (US – AI voice, navigation), Abup Technology (China – AI collision avoidance).
Competition centers on three axes: system cost (US$ 100-500 per vehicle), feature set (ABS, cornering ABS, V2X, AEB), and integration with OEM electronics.
5. Segment-by-Segment Analysis: Type and Application
By Vehicle Type
- Electric Two-wheeled Vehicles: Largest segment (~60% of market). E-mopeds, e-scooters, e-bikes. Fastest-growing segment (CAGR 7.5%).
- Motorcycles: (~30% of market). ICE motorcycles (125cc+). Regulatory-driven ABS adoption.
- Others: Electric kick scooters, mopeds. ~10% of market.
By End User
- Personal Use: Largest segment (~75% of market). Daily commuting, leisure riding. Price-sensitive, L1 (ABS) dominant.
- Commercial Use: (~25% of market). Shared micro-mobility (scooter sharing, rental, delivery fleets). Requires IoT connectivity (GPS tracking, remote lock, fleet management). Fastest-growing segment (CAGR 9%).
User case – Shared e-scooter fleet (Ninebot) : A scooter sharing operator (10,000 units) deployed Ninebot e-scooters with L2 intelligent driving system (cornering ABS + IoT). Features: GPS tracking, remote lock, speed limiting (geo-fencing), collision detection (accelerometer). Fleet accidents reduced by 35%. Theft recovery rate: 90% (GPS tracking). Fleet management cost reduced by 20% (remote diagnostics, predictive maintenance). Premium paid: US$ 150 per scooter.
6. Exclusive Insight: Two-Wheeler ADAS Features
| Feature | Function | Technology | Benefit |
|---|---|---|---|
| ABS (anti-lock braking) | Prevent wheel lock during braking | Wheel speed sensors, pressure modulation | Reduce stopping distance, prevent skid |
| Cornering ABS | ABS with lean-angle sensing | IMU (gyro, accelerometer), lean angle sensor | Brake safely in curves |
| Traction control | Prevent rear wheel spin on wet/low traction | Wheel speed sensors, throttle reduction | Improve stability |
| Adaptive cruise control (ACC) | Maintain safe following distance | Radar, camera, speed control | Reduce rider fatigue |
| Collision avoidance (AEB) | Automatic emergency braking | Camera, radar, AI object detection | Prevent collisions |
| Lane-keeping assistance | Vibration/audio alert when drifting | Camera, lane detection | Prevent run-off-road |
| V2X connectivity | Vehicle-to-vehicle, vehicle-to-infrastructure | 4G/5G, DSRC, C-V2X | Warn of approaching vehicles |
| Predictive maintenance | Alert for brake pad wear, tire pressure, battery health | IoT sensors, cloud analytics | Reduce breakdowns |
Technical challenge: Real-time sensor fusion on low-cost MCUs (motorcycles have less computing power than cars). Solutions include:
- Dedicated ADAS processors (Qualcomm Snapdragon, NXP S32)
- Simplified sensor suites (camera-only vs. camera+radar)
- Cloud-based processing (offload heavy AI to cloud)
- Optimized algorithms (lightweight neural networks)
User case – AI collision avoidance (Abup Technology) : Abup developed camera-based collision avoidance for e-mopeds (no radar). AI detects obstacles (pedestrians, vehicles, potholes) at 30 fps on low-cost MCU. Warning (audio/visual) within 100 ms. AEB (automatic emergency braking) applies brakes if rider does not respond within 500 ms. Test data: false positive rate 1 per 1,000 km, detection range 20 m.
7. Regional Outlook and Strategic Recommendations
- Asia-Pacific: Largest and fastest-growing region (60% share, CAGR 7.5%). China (Yadea, Niu, Ninebot, Huawei, Abup), India, Vietnam, Indonesia. High two-wheeler penetration (200+ million units), safety regulations (China GB 17761), shared micro-mobility growth.
- Europe: Second-largest (25% share, CAGR 6.5%). Germany (BOSCH, Qualcomm), France, Italy, Spain. Mandatory ABS for >125cc (2025), premium L2 systems (cornering ABS, V2X).
- North America: Smaller market (10% share, CAGR 5.5%). US (Microchip, Qualcomm, Cerence). E-moped adoption growing (urban delivery, last-mile). L1 systems dominant.
- Rest of World: Latin America, Middle East. Smaller but growing.
8. Conclusion
The two-wheeler intelligent driving system market is positioned for strong growth through 2032, driven by safety regulations, two-wheeler sales, and shared micro-mobility. Stakeholders—from semiconductor suppliers to OEMs—should prioritize ABS for cost-sensitive markets, cornering ABS and V2X for premium models, and IoT connectivity for fleet and sharing services. By enabling semi-autonomous riding and V2X connectivity, intelligent driving systems reduce accidents and transform two-wheelers into connected smart vehicles.
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