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<\/span><\/figcaption><\/figure>Premiumisation is the talk of the town nowadays. From housing to consumer durables to home appliances to apparel to shoes, every industry is upgrading itself to meet the ever growing demand for a ‘premium’ brand by the consumer.

Limiting my note on consumer products, GfKIndia<\/a> is mentioning an increase in the ASP in 2022 between 4-9% for TVs, appliances and laptops. The fact is that the ASP for all these products has been showing an increasing trend since 2020 – The year of COVID-19. The low and mid segment are on the decline.

Moving on to smartphones, IDC puts the increase in the ASP of smartphones at 18%, which is more than double that of laptops. The reason given here is the growth in the mid-premium segment (Rs 25k – Rs 40k) by 20% and the premium segment (Rs.40k+) by 55%. As per CMR, the uber-premium segment of Rs 100k+ grew by an astounding 95%.

Let us look at the table below based on Counterpoint data, which has the volume and the value contribution for the last 2 years. Since the entire data is in %s, it would be right to conclude the following:

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<\/span><\/figcaption><\/figure>Premiumisation is the talk of the town nowadays. From housing to consumer durables to home appliances to apparel to shoes, every industry is upgrading itself to meet the ever growing demand for a ‘premium’ brand by the consumer.

Limiting my note on consumer products, GfKIndia<\/a> is mentioning an increase in the ASP in 2022 between 4-9% for TVs, appliances and laptops. The fact is that the ASP for all these products has been showing an increasing trend since 2020 – The year of COVID-19. The low and mid segment are on the decline.

Moving on to smartphones, IDC puts the increase in the ASP of smartphones at 18%, which is more than double that of laptops. The reason given here is the growth in the mid-premium segment (Rs 25k – Rs 40k) by 20% and the premium segment (Rs.40k+) by 55%. As per CMR, the uber-premium segment of Rs 100k+ grew by an astounding 95%.

Let us look at the table below based on Counterpoint data, which has the volume and the value contribution for the last 2 years. Since the entire data is in %s, it would be right to conclude the following: