Automotive Component Price Data and Report is available in the Indian Market. There are 3 Vehicle segments and 3 component sub-segments have been defined in the database.
Vehicle Segment:
- Passenger Car (Luxury, Premium, and Mass Market),
- Truck (LDT, MDT, HDT, Tipper, TT, RH),
- Bus (Light, Medium, and Heavy Duty buses)
- Two Wheeler (Scooter & Motorcycle), and
- Three Wheeler (Passenger and Goods carrier).
Electric vehicle parts or component price database is separate.
The components Types: OEMs genuine price, OEMs suppliers to the retail market, Local Suppliers, and Chinese.
The price database is based on a city-level intelligence Pricing database.
Filter, Electric components, Lubricants, Transmission, Engine, Brake, Steering, Tyre, Oil, Oil seal, Battery, Spark Plug, Switches, Lighting, Sound System, Interior items, Axle, Shock Absorbers, Windshield, Sensors, Inverter, Wiper blade, Mirror, and others.
We have covered more than 100 components in our database.
- The database is useful for the forecast of the Indian Automotive component market size in units and value.
- Competitor Analysis of various Automotive suppliers of different segments
- Launching a new product strategy
- Vehicle level Cost reduction plan and improve TCO
- Measure the operation cost analysis of the Vehicle
Customization:
We have two sets of the database:
- Standard pricing database and
- Customize Database
Standard Database with proper explanation of database give you quick access. The Customization database give you data as per your requirement. Both are beneficial for any organization.
Pricing is the most important parameter in the Auto Component business in India. Getting precise competitor pricing can change the business scenario of the company. This database help to design the pricing strategy, target customer segment, Business Growth, Business Planning, Marketing Strategy, Manpower & Material Planning, Launching New product and others.
Along with Data, ACG also offer Pricing Analytical service. This advanced analytics provide key insight of the data with data interpretation and explanation of trend and Forecast.
