China Vehicle Parts Sourcing Skill
Description
This skill helps international buyers navigate China's vehicle parts manufacturing landscape, which is projected to exceed ¥6.2 trillion in revenue by 2026. It provides data-backed intelligence on regional clusters, supply chain structure, and industry trends based on the latest government policies and industry reports. Coverage includes traditional ICE components, NEV-specific parts (batteries, motors, electronic control), ADAS electronics, aftermarket parts, and specialized components for commercial vehicles (trucks, buses) and motorcycles.
Key Capabilities
- Industry Overview: Get a summary of China's vehicle parts industry scale, development targets, and key policy initiatives.
- Supply Chain Structure: Understand the complete industry chain from raw materials and core components to downstream applications across all vehicle types.
- Regional Clusters: Identify specialized manufacturing hubs for different vehicle parts (powertrain, electrification, chassis, body, interior, electronics, aftermarket) for passenger cars, commercial vehicles, and motorcycles.
- Subsector Insights: Access detailed information on key subsectors (powertrain, electrification components, chassis, body, interior, automotive electronics, aftermarket).
- Sourcing Recommendations: Get practical guidance on evaluating and selecting suppliers, including verification methods, communication best practices, typical lead times, and payment terms.
How to Use
You can interact with this skill using natural language. For example:
- "What's the overall status of China's vehicle parts industry in 2026?"
- "Show me the supply chain structure for vehicle parts"
- "Which regions are best for sourcing EV batteries for trucks?"
- "Tell me about motorcycle engine manufacturing clusters"
- "How do I evaluate suppliers of commercial vehicle axles?"
- "What certifications should I look for in vehicle parts suppliers?"
Data Sources
This skill aggregates data from:
- Ministry of Industry and Information Technology (MIIT) official policies
- China Association of Automobile Manufacturers (CAAM)
- China Motorcycle Association
- National Bureau of Statistics of China
- Industry research publications (updated Q1 2026)
Implementation
The skill logic is implemented in do.py, which reads structured data from data.json. All data is cluster-level intelligence without individual factory contacts.
API Reference
The following Python functions are available in do.py for programmatic access:
get_industry_overview() -> Dict
Returns overview of China's vehicle parts industry scale, targets, and key policy initiatives.
Example:
from do import get_industry_overview
result = get_industry_overview()
# Returns: industry scale, 2026 targets, automation rates, key drivers, etc.