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The India 2018 Wealth Report

  • ID: 4580166
  • Report
  • Region: India
  • 27 Pages
  • New World Wealth
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FEATURED COMPANIES

  • Aston Martin
  • Burberry
  • Ferrari
  • Jimmy Choo
  • Maserati
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This report is the result of New World Wealth’s extensive research covering the wealth market in India. The report covers wealth trends in the country from 2007 to 2017, with projections to 2027.

Scope:

  • General wealth trends in India over the past 10 years.
  • City wealth breakdowns for India.
  • Detailed review of the local luxury and wealth management sector.
  • HNWI trends in India over the past 10 years.
  • HNWI migration trends in India over the past 10 years.
  • Asset allocations and behavioural mapping of HNWIs in India.
  • Demographics of Indian HNWIs including: city, work title, university, degree and sector breakdowns.
  • Art, collectables, luxury car, luxury clothing and prime residential real estate statistics for India.

Key Highlights:

  • India is the 6th largest wealth market in the world (in terms of total wealth held) after USA, China, Japan, Germany and the UK.
  • Indian locals hold US$8.2 trillion in net assets (or wealth). Around US$3.9 trillion (48%) of this is held by HNWIs.
  • The average Indian individual has net assets of approximately US$6,600.
  • There are approximately 330,000 HNWIs living in India, each with net assets of US$1 million or more.
  • There are approximately 20,700 multi-millionaires living in India, each with net assets of US$10 million or more.
  • There are 1,064 centi-millionaires living in India, each with net assets of US$100 million or more.
  • There are 119 billionaires living in India, each with net assets of US$1 billion or more. India has a particularly large number of billionaires - only two counties worldwide have more billionaires than India, namely: USA and China.
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Aston Martin
  • Burberry
  • Ferrari
  • Jimmy Choo
  • Maserati
  • Prada
  • MORE

1 Introduction
1.1 What is this Report About?
1.2 Notes and Definitions
1.3 Sources and methodology

2 Wealth Sector Fundamentals
2.1 Regional landscape
2.2 Economic Review
2.3 Benchmarking India’s Wealth in Context
2.3.1 World statistics
2.3.2 Distribution of wealth in India
2.3.3 Wealth trends

3 The wealthiest cities in India

4 HNWI trends in India
4.1 Behavioral mapping and asset allocations
4.2 Demographics of Indian HNWIs
4.2.1 Educational background
4.2.2 Industry breakdown
4.2.3 Work title breakdown
4.3 HNWI migration trends
4.4 Prime real estate
4.5 Collectables
4.6 Luxury sector
4.6.1 Luxury clothing & accessory brand stores
4.6.2 Luxury cars
4.6.3 Luxury hotels
4.7 Wealth management

5 About the Publisher

List of Tables
Table 1: India: HNWI wealth band definitions
Table 2: India: Cities by GDP, 2017
Table 3: India: City wealth breakdown, 2017
Table 4: India: City wealth trends, 2007 – 2017
Table 5: India: HNWIs – Distribution by area of study, 2017
Table 6: India: HNWIs – Distribution by level of education, 2017
Table 7: India: HNWIs – Distribution by university, 2017
Table 8: India: HNWIs – Distribution by industry, 2017
Table 9: India: HNWIs – Distribution by work title, 2017
Table 10: India:  Major cities ranked by US$ per square meter, 2017
Table 11: India: Luxury brand stores, 2017
Table 12: India: Upcoming luxury brand stores, 2017
Table 13: India: Top selling luxury cars, 2017

List of Figures
Figure 1: India: Map of country
Figure 2: India: Behavioral mapping of the different wealth bands, 2017

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  • Aston Martin
  • Bentley
  • Berluti
  • Burberry
  • Canali
  • Christian Louboutin
  • Ferrari
  • Gucci
  • Hermes
  • Jimmy Choo
  • Lamborghini
  • Louis Vuitton
  • Maserati
  • Paul Smith
  • Porsche
  • Prada
  • Rolls Royce
  • Salvatore Ferragamo
  • Thomas Pink
  • Zegna
Note: Product cover images may vary from those shown
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The analyst uses a model to calculate wealth breakdowns for each country, with key inputs including: 

  • Stock market stats in each market.
  • Property stats in each market.
  • Income stats in each market.
  • GDP per capita stats in each market.
  • Wealth data from the in-house HNWI database.

These metrics are combined together in their model to calculate the total wealth held in each country and to calculate the number of people in each wealth tier. For the top wealth tiers (such as billionaires and centi-millionaires) the analyst mainly relies on in-house HNWI database.

The model also maps historical wealth growth trends in each country by considering:

  • Currency movements in each market vs. the US$ (note: all stats are in US$ terms).
  • Stock market movements in each market (in US$ terms).
  • Property price movements in each market (in US$ terms).

The average person worldwide has around 50% of their wealth tied up in residential property and equities so large residential property market and stock market moves heavily impact on the total private wealth held in a country.

The HNWI database is then used for the demographic splits within each country (i.e. city, sector, age and suburb wealth breakdowns). So for instance, if 30% of the HNWIs in the UK database are living in London, then that would mean that London should account for around 30% of the UK’s HNWIs. 

The analyst has a sample of around 150,000 HNWIs worldwide in their database. Most of the individuals in their database have the following work titles: Directors, Chairman, CEOs, Founders, and Partners. They do not give out the names of these individuals to anyone. They purely use this database for in-house statistical studies. 

They also use public prime property stats (property registers and property sales stats) as a sanity check on all city and suburb wealth breakdowns. Specifically, they look at the number of homes valued at over a million US$ in each area.

The wealth forecasts take into account:

  • GDP forecasts.
  • Recent wealth migration trends - which we see as an insight into future wealth trends. So for
  • instance if a large number of HNWIs are leaving a country that is probably a bad sign for future
  • wealth growth.
  • Competitiveness of country’s wages relative to worldwide peers.
  • Competitive advantages of each economy.
  • Safety levels in-country and the efficiency of the local police service.
  • Ease of doing business in the country.
  • Education standard in country - special focus on Science, Maths, and Literacy.
  • Level of innovation and entrepreneurship in the country.
 

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