China Passenger Car Association & CAM: Passenger car market product competitiveness index is 90.2 in March 2022

Overall market product competitiveness index trend

Note: Only the data for the last 12 months are retained, with January 2019 as the base point 100 %

Trend of product competitiveness index in the sedan market

Overall, the product competitiveness index of the sedan market in March 2022 was 90.8 , up 0.7 points month-on-month . Among them, the price strength and product evaluation indicators increased by 1.1 and 0.6 points month-on-month respectively, while the market heat and user reputation indicators decreased by 0.5 and 0.1 points month-on-month respectively .

Note: Only the data for the last 12 months is retained, with January 2019 as the base point 100%

Overall, the SUV market product competitiveness index in March 2022 was 89.0, down 0.1 point from the previous month. Among them, the price strength and product evaluation indicators both fell by 0.4 points from the previous month, while the market popularity and user reputation indicators rose by 0.2 and 0.1 points from the previous month, respectively.

Note: Only the data for the last 12 months are retained, with January 2019 as the base point 100 %

MPV market product competitiveness index trend

Overall, the MPV market product competitiveness index in March 2022 was 95.5 , a decrease of 0.7 points month-on-month. Among them , the product evaluation index declined the most month-on-month, down 1.2 points.

Note: Only the data for the last 12 months is retained, with January 2019 as the base point 100%

Passenger Car Market Information Joint Conference

Shanghai Fulan Automotive Technology Co., Ltd.

About the Product Competitiveness Index

A product competitiveness index system is constructed based on four dimensions: user reputation, market popularity, product evaluation, and price strength.

The first step is to construct evaluation indicators in four dimensions, such as user reputation including secondary indicators such as appearance, interior, and space.

The second step is to make the collected basic data of the four dimensions consistent and standardized so that the data dimensions of each dimension are unified.

The third step is to set the weight of the evaluation index based on subjective and objective factors. The objective factor is mainly based on the differentiated information between the data, while the subjective factor is determined by the expert group.

The fourth step is to calculate the product competitiveness indicators by weighted calculation.

Indicator Description:

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