Your SlideShare is downloading. ×
Smart and fast cities. Forecasting Furniture demand to 2020 - Market Research by CSIL
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Smart and fast cities. Forecasting Furniture demand to 2020 - Market Research by CSIL

241
views

Published on

http://www.worldfurnitureonline.com/market-research/forecasting-furniture-demand-2020-smart-and-fast-cities.html …

http://www.worldfurnitureonline.com/market-research/forecasting-furniture-demand-2020-smart-and-fast-cities.html

Which are the most interesting cities of the future for companies serving the furniture and furnishing market?
The report offers detailed forecasts to 2020 for 150 smart&fast cities which are likely to be of high interest for the furniture and furnishing companies. The cities are located in 72 countries, which are monitored by CSIL and which account for 98% of the world furniture consumption. Overall, the cities presented in this report account for more than a quarter of the global furniture consumption. They are home to nearly 11% of global population and contribute to 33% of global gross Domestic Product (GDP)

Published in: Data & Analytics, Travel

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
241
On Slideshare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. © Copyright CSIL R2993 CSIL Milano scrl 15 corso Monforte 20122 Milano Italy tel. +39 02 796630 fax +39 02 780703 csil@csilmilano.com – www.csilmilano.com SMART AND FAST CITIES: FORECASTING FURNITURE DEMAND TO 2020 Multiclient Research FURNITURE February 2014 S60 UPHOLSTERED MATTRESSES CONTRACT & LUXURY OFFICE & WORKSPACE KITCHEN & BATHROOM ECOBUILDING & WINDOWS DESIGN LAB & WORKSHOP MAJOR APPLIANCES LIGHTING FIXTURES All CSIL publications are available for online purchase and immediate download from: http://www.csilmilano.com http://www.worldfurnitureonline.com Reports are also available in printed form. For further information, please contact: csil@csilmilano.com
  • 2. © Copyright CSIL R2993 CSIL Milano scrl 15 corso Monforte 20122 Milano Italy tel. +39 02 796630 fax +39 02 780703 csil@csilmilano.com – www.csilmilano.com Smart&Fast cities: forecasting furniture demand to 2020 FURNITURE Research prepared by G. Catalano, D. Cheri Coordinated by G. Catalano UPHOLSTERED MATTRESSES CONTRACT & LUXURY OFFICE & WORKSPACE KITCHEN & BATHROOM ECOBUILDING & WINDOWS DESIGN LAB & WORKSHOP MAJOR APPLIANCES LIGHTING FIXTURES All rights reserved. Neither this publication nor any part of it may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise. Any such action is an infringement of Italian Law (Law 18 August 2000 no. 248) and may give rise to legal action for damages and may be prosecuted as a criminal offence. All information in this report is verified to the best of the author's and the publisher's ability. However, CSIL does not accept responsibility for any errors and/ or omissions resulting from any source and for any loss arising from reliance on it.
  • 3. 150 Smart&Fast cities: forecasting furniture demand to 2020 11/02/2014 R2993 © Copyright CSIL This report is exclusively for consultation on the part of the purchaser. It may not be reproduced in whole or in part by any means whatsoever without the prior written permission of CSIL I Contents INTRODUCTION 1 PART I: 150 CITIES’ COMPARATIVE ANALYSIS 3 Asia and Pacific 3 Central-East Europe outside the EU and Russia 4 European Union 5 Middle East and Africa 6 North America 7 South America 8 Demografic trend by Geographical area. Population, 2012-2020. Percentage growth rate 9 Economic welfare by geographical area. GDP pc, 2012-2020. Percentage growth rate 12 Household consumption by geographical area, 2012-2020. US$ billion (at costant 2005 US$) and real percentage growth rate 15 Furniture demand by geographiocal area, 2012-2020. Current US$ million and percentage growth rate 18 PART II: CITIES’ PROFILE 21 For each city: City Highlights Demographic trend Economic welfare Quality of life, attractiveness and governance Household Consumption and Furniture Demand ASIA AND PACIFIC Almaty (Kazakhstan) 23 Auckland (New Zealand) 25 Bangalore (India) 27 Bangkok (Thailand) 29 Baotou (China) 31 Beijing (China) 33 Chengdu (China) 35 Dalian (China) 37 Daqing (China) 39 Delhi (India) 41 Dhaka (Bangladesh) 43 Foshan (China) 45 Fuzhou (China) 47 Guangzhou (China) 49 Hangzhou (China) 51 Ho Chi Minh City (Viet Nam) 53 Hong Kong (China) 55 Jakarta (Indonesia) 57 Jinan (China) 59 Kochi (India) 61 Kolkata (India) 63 Kuala Lumpur (Malaysia) 65 Manila (Philippines) 67 Melbourne (Australia) 69 Mumbai (India) 71 Nagoya (Japan) 73 Nanjing (China) 75 Nashik (India) 77 Osaka (Japan) 79 Pune (India) 81 Qingdao (China) 83 Seoul (Korea, South) 85 Shanghai (China) 87 Shenyang (China) 89 Shenzhen (China) 91 Singapore (Singapore) 93 Sydney (Australia) 95 Taipei-Keelung (Taiwan) 97 Tangshan (China) 99 Tianjin (China) 101 Tokyo (Japan) 103 Ulsan (Korea, South) 105 Visakhapatnam (India) 107 Wuhan (China) 109 Xiamen (China) 111 Xuzhou (China) 113 CENTRAL-EAST EUROPE OUTSIDE THE EU AND RUSSIA Belgrade (Serbia) 116 Istanbul (Turkey) 118 Kiev (Ukraine) 120 Moscow (Russia) 122 Saint Petersburg (Russia) 124 Zagreb (Croatia) 126
  • 4. 150 Smart&Fast cities: forecasting furniture demand to 2020 11/02/2014 R2993 © Copyright CSIL This report is exclusively for consultation on the part of the purchaser. It may not be reproduced in whole or in part by any means whatsoever without the prior written permission of CSIL II EUROPEAN UNION Amsterdam (Netherlands) 129 Athens (Greece) 131 Barcelona (Spain) 133 Berlin (Germany) 135 Bonn (Germany) 137 Bratislava (Slovakia) 139 Brussels (Belgium) 141 Bucharest (Romania) 143 Budapest (Hungary) 145 Cologne (Germany) 147 Copenhagen (Denmark) 149 Dublin (Ireland) 151 Frankfurt (Germany) 153 Geneva (Switzerland) 155 Helsinki (Finland) 157 Lisbon (Portugal) 159 Ljubljana (Slovenia) 161 London (United Kingdom) 163 Lyon (France) 165 Madrid (Spain) 167 Milan (Italy) 169 Munich (Germany) 171 Nicosia (Cyprus) 173 Oslo (Norway) 175 Paris (France) 177 Prague (Czech Republic) 179 Reykjavík (Iceland) 181 Riga (Latvia) 183 Rome (Italy) 185 Sofia (Bulgaria) 187 Stockholm (Sweden) 189 Tallinn (Estonia) 191 Valletta (Malta) 193 Vienna (Austria) 195 Vilnius (Lithuania) 197 Warsaw (Poland) 199 Zurich (Switzerland) 201 MIDDLE EAST AND AFRICA Abu Dhabi (United Arab Emirates) 204 Algiers (Algeria) 206 Bahrain (Bahrain) 208 Beirut (Lebanon) 210 Cairo (Egypt) 212 Casablanca (Morocco) 214 Doha (Qatar) 216 Dubai (United Arab Emirates) 218 Jedda (Saudi Arabia) 220 Johannesburg (South Africa) 222 Kuwait City (Kuwait) 224 Muscat (Oman) 226 Riyadh (Saudi Arabia) 228 Tel Aviv-Jaffa (Israel) 230 NORTH AMERICA Atlanta (United States) 233 Baltimore (United States) 235 Boston (United States) 237 Cancun (Mexico) 239 Chicago (United States) 241 Dallas-Fort Worth (United States) 243 Denver (United States) 245 Guadalajara (Mexico) 247 Houston (United States) 249 Indianapolis (United States) 251 Leon (Mexico) 253 Los Angeles (United States) 255 Mexico City (Mexico) 257 Miami (United States) 259 Minneapolis-Saint Paul (United States) 261 Monterrey (Mexico) 263 Montréal (Canada) 265 New York (United States) 267 Philadelphia (United States) 269 Phoenix (United States) 271 Portland (United States) 273 Queretaro (Mexico) 275 San Diego (United States) 277 San Francisco (United States) 279 Seattle (United States) 281 Tijuana (Mexico) 283 Toronto (Canada) 285 Vancouver (Canada) 287 Villahermosa (Mexico) 289 Washington, D.C. (United States) 291 SOUTH AMERICA Belo Horizonte (Brazil) 294 Bogotá (Colombia) 296 Brasília (Brazil) 298 Buenos Aires (Argentina) 300 Campinas (Brazil) 302 Caracas (Venezuela) 304 Curitiba (Brazil) 306 Lima (Peru) 308 Pôrto Alegre (Brazil) 310 Recife (Brazil) 312 Rio de Janeiro (Brazil) 314 Salvador (Brazil) 316 San Francisco de Quito (Ecuador) 318 San Jose (Costa Rica) 320 Santiago de Chile (Chile) 322 São Paulo (Brazil) 324 Uberlandia (Brazil) 326 METHODOLOGICAL NOTES 328 For more information on these cities please contact Jessica Catalano at CSIL: catalano@csilmilano.com Customized studies can be carried out on other cities, which are not included in this report
  • 5. 150 Smart&Fast cities: forecasting furniture demand to 2020 11/02/2014 R2993 © Copyright CSIL This report is exclusively for consultation on the part of the purchaser. It may not be reproduced in whole or in part by any means whatsoever without the prior written permission of CSIL 1 Introduction This is the first edition of CSIL report ‘150 Smart&Fast Cities: Forecasting Furniture Demand to 2020’. Why focusing on cities rather than on countries? Today, the world is more about cities than about countries. Cities are, indeed, geographic concentrations of people, skills, economic activities and capital infrastructures, which are making them the key actors of the world economy’s growth. Companies willing to increase and extend their activities in a new market can not disregard the development and peculiarities of the cities within a country. There is evidence that Seoul has more in common with Singapore and Hong Kong than with other smaller Korean cities. Aim of the Report is to shed light on 150 worldwide ‘smart&fast’ cities, which are deemed to offer good business opportunities for the furniture and furnishings players in the coming years. Before going into the details of the report, a close definition of ‘smart&fast’ city is needed. A city is ‘fast’ when it is likely to grow at a rapid pace. This growth may entail several dimensions, such as population, economy and/or level of consumption. A city is ‘smart’ if it has the capacity to enhance its resources through efficient infrastructures, to improve the quality of life for its citizens, to create a favorable environment for doing business, as well as to offer investment opportunities. While there are cities which are smart and fast at the same time, others are interesting for the smart or fast dimension only. The 150 ‘smart&fast’ cities analysed in the Report are located in 72 countries, which are monitored by CSIL and which account for 98% of the world furniture consumption. Overall, the cities presented in this report account for more than a quarter of the global furniture consumption. They are home to nearly 11% of global population and contribute to 33% of global gross Domestic Product (GDP). The selection of the cities was driven both from the ‘fast’ and ‘smart’ dimension. The number of cities by countries may vary according to the size of the country and its relevance within the global furniture market. The report is structured in two sections:  Section 1 – 150 Cities’ comparative analysis This Section provides an analysis of the 150 cities by the major trade areas in which they are located. Here, the aim is to draw the attention on the top cities to watch when approaching a geographical area. For the purpose of this analysis, the following six major areas have been identified:  Asia and Pacific  European Union (including Norway, Switzerland and Iceland)  Central-East Europe outside the EU and Russia  North America  South America  Middle East and Africa At the end of section 1, comparative table of cities by geographical areas are provided, showing the expected range of growth which will be faced in 2020.  Section 2 – 150 Cities’ Profiles This Section provides 150 cities profiles, by encompassing the following key aspects: • City Highlights: main peculiarities of the city and interesting aspects which could influence investment opportunities and the demand of furniture and furnishing products. These may include: government projects, financing programs, economic incentives, retail opportunities, development of the real estate market, constructions planned, major events which will be hosted in the city, etc. • Demographic trend: main topics influencing the demand of furniture and furnishings products, such as the increase/decrease of population, the number of households, and the population structure (share of migrants, working age people, birth rate, etc.). • Economic welfare: economic development of the city as well as the economic conditions of the citizens and their purchasing power. • Quality of life, attractiveness and governance: aspects which make a city attractive for citizens and businesses, including the availability and quality of infrastructure to access local resources, the capacity to attract tourists, the conditions to make a business, etc. • Household Consumption and Furniture Demand: attitude of households towards consumption, by distinguishing among different income groups. Level of consumption of furniture and furnishings products, including, housing, office and contract segments. For each city profile, the following key forecasts are provided:  Population growth rate, 2020  Gross domestic product, 2020  Gross domestic product per capita, 2020  Household growth rate, 2020  Household growth rate by level of income, 2020  Household’s consumption growth rate, 2020  Furniture demand, 2020 Comments, suggestions and requests for clarification are welcome and they should be addressed to Jessica Catalano, at catalano@csilmilano.com.