• 1-800-526-8630U.S. (TOLL FREE)
  • 1-917-300-0470EAST COAST U.S.
  • +353-1-416-8900REST OF WORLD
The 2009 Report on Manufacturing Commercial Laundry, Dry Cleaning, and Pressing Machines: World Market Segmentation by City - Product Image

The 2009 Report on Manufacturing Commercial Laundry, Dry Cleaning, and Pressing Machines: World Market Segmentation by City

  • ID: 1032879
  • May 2009
  • Region: Global
  • 343 pages
  • ICON Group International

Market Potential Estimation Methodology
Overview
This study covers the world outlook for manufacturing commercial laundry, dry cleaning, and pressing machines across more than 2000 cities. For the year reported, estimates are given for the latent demand, or potential industry earnings (P.I.E.), for the city in question (in millions of U.S. dollars), the percent share the city is of the region and of the globe. These comparative benchmarks allow the reader to quickly gauge a city vis-à-vis others. Using econometric models which project fundamental economic dynamics within each country and across countries, latent demand estimates are created. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved.

This study does not report actual sales data (which are simply unavailable, in a comparable or consistent manner in virtually all of the cities of the world). This study gives, READ MORE >

1 INTRODUCTION & METHODOLOGY 11
1.1 Overview and Definitions 11
1.2 Market Potential Estimation Methodology 11
1.2.1 Overview 11
1.2.2 What is Latent Demand and the P.I.E.? 12
1.2.3 The Methodology 12
1.2.3.1 Step 1. Product Definition and Data Collection 14
1.2.3.2 Step 2. Filtering and Smoothing 16
1.2.3.3 Step 3. Filling in Missing Values 16
1.2.3.4 Step 4. Varying Parameter, Non-linear Estimation 17
1.2.3.5 Step 5. Fixed-Parameter Linear Estimation 17
1.2.3.6 Step 6. Aggregation and Benchmarking 18
2 USING THE DATA 19
3 CITY SEGMENTS RANKED BY MARKET SIZE 20
3.1 Top 15 Markets 20
3.2 Markets 16 to 30 21
3.3 Remaining Cities by Market Rank 22
4 CITY SEGMENTS IN ALPHABETICAL ORDER 125
4.1 A: from Aalborg to Az Zawiyah 125
4.2 B: from Bacolod to Bydgoszcz 132
4.3 C: from Caaguazu to Cyangugu 140
4.4 D: from Da Nang to Dzhizak 148
4.5 E: from East London to Esteli 152
4.6 F: from Fagatogo to Funchal 154
4.7 G: from Gabes to Gyumri 157
4.8 H: from Hachinohe to Hyderabad 161
4.9 I: from Iasi to Izmir 165
4.10 J: from Jaboatao to Jyvaskyla 168
4.11 K: from Kabul to Kzyl-Orda 170
4.12 L: from La Ceiba to Lyon 178
4.13 M: from Macae to Mzuzu 184
4.14 N: from Nacala to Nzerekore 194
4.15 O: from Oaklahoma City to Oyem 199
4.16 Ö: from Örebro to Örebro 201
4.17 P: from Pago Pago to Pyuthan 202
4.18 Q: from Qandahar to Quito 209
4.19 R: from Rabat to Rustavi 210
4.20 S: from S. Luis Potosi to Szombathely 213
4.21 T: from Tabligbo to Tyre 225
4.22 U: from Uberaba to Utulei 232
4.23 V: from Vacoas-Phoenix to Vukovar 234
4.24 W: from Wadi Medani to Wuhan 237
4.25 X: from Xalapa to Xian 238
4.26 Y: from Yamagata to Yungkang 239
4.27 Z: from Zadar to Zvishavane 240
5 CITY SEGMENTS RANKED BY COUNTRY 241
5.1 Afghanistan 241
5.2 Albania 241
5.3 Algeria 242
5.4 American Samoa 242
5.5 Andorra 242
5.6 Angola 243
5.7 Antigua and Barbuda 243
5.8 Argentina 244
5.9 Armenia 245
5.10 Aruba 245
5.11 Australia 246
5.12 Austria 246
5.13 Azerbaijan 247
5.14 Bahrain 247
5.15 Bangladesh 248
5.16 Barbados 248
5.17 Belarus 249
5.18 Belgium 249
5.19 Belize 250
5.20 Benin 250
5.21 Bermuda 250
5.22 Bhutan 251
5.23 Bolivia 251
5.24 Bosnia and Herzegovina 251
5.25 Botswana 252
5.26 Brazil 253
5.27 Brunei 258
5.28 Bulgaria 258
5.29 Burkina Faso 259
5.30 Burma 259
5.31 Burundi 259
5.32 Cambodia 260
5.33 Cameroon 260
5.34 Canada 261
5.35 Cape Verde 261
5.36 Central African Republic 262
5.37 Chad 262
5.38 Chile 263
5.39 China 263
5.40 Christmas Island 264
5.41 Colombia 264
5.42 Comoros 264
5.43 Congo (formerly Zaire) 265
5.44 Cook Islands 265
5.45 Costa Rica 265
5.46 Cote dIvoire 266
5.47 Croatia 266
5.48 Cuba 267
5.49 Cyprus 267
5.50 Czech Republic 268
5.51 Denmark 268
5.52 Djibouti 269
5.53 Dominica 269
5.54 Dominican Republic 269
5.55 Ecuador 270
5.56 Egypt 270
5.57 El Salvador 271
5.58 Equatorial Guinea 271
5.59 Estonia 271
5.60 Ethiopia 272
5.61 Fiji 272
5.62 Finland 273
5.63 France 273
5.64 French Guiana 274
5.65 French Polynesia 274
5.66 Gabon 274
5.67 Georgia 275
5.68 Germany 275
5.69 Ghana 276
5.70 Greece 276
5.71 Greenland 277
5.72 Grenada 277
5.73 Guadeloupe 278
5.74 Guam 278
5.75 Guatemala 278
5.76 Guinea 279
5.77 Guinea-Bissau 279
5.78 Guyana 279
5.79 Haiti 280
5.80 Honduras 280
5.81 Hong Kong 280
5.82 Hungary 281
5.83 Iceland 281
5.84 India 282
5.85 Indonesia 283
5.86 Iran 284
5.87 Iraq 284
5.88 Ireland 285
5.89 Israel 285
5.90 Italy 286
5.91 Jamaica 286
5.92 Japan 287
5.93 Jordan 290
5.94 Kazakhstan 290
5.95 Kenya 291
5.96 Kiribati 291
5.97 Kuwait 291
5.98 Kyrgyzstan 292
5.99 Laos 292
5.100 Latvia 292
5.101 Lebanon 293
5.102 Lesotho 293
5.103 Liberia 293
5.104 Libya 294
5.105 Liechtenstein 294
5.106 Lithuania 294
5.107 Luxembourg 295
5.108 Macau 295
5.109 Madagascar 295
5.110 Malawi 296
5.111 Malaysia 296
5.112 Maldives 297
5.113 Mali 297
5.114 Malta 297
5.115 Marshall Islands 298
5.116 Martinique 298
5.117 Mauritania 298
5.118 Mauritius 299
5.119 Mexico 300
5.120 Micronesia Federation 301
5.121 Moldova 301
5.122 Monaco 301
5.123 Mongolia 302
5.124 Morocco 302
5.125 Mozambique 303
5.126 Namibia 303
5.127 Nauru 303
5.128 Nepal 304
5.129 New Caledonia 304
5.130 New Zealand 305
5.131 Nicaragua 305
5.132 Niger 306
5.133 Nigeria 306
5.134 Niue 307
5.135 Norfolk Island 307
5.136 North Korea 307
5.137 Norway 308
5.138 Oman 308
5.139 Pakistan 309
5.140 Palau 309
5.141 Palestine 309
5.142 Panama 310
5.143 Papua New Guinea 310
5.144 Paraguay 311
5.145 Peru 311
5.146 Philippines 312
5.147 Poland 312
5.148 Portugal 313
5.149 Puerto Rico 313
5.150 Qatar 314
5.151 Republic of Congo 314
5.152 Reunion 314
5.153 Romania 315
5.154 Russia 315
5.155 Rwanda 316
5.156 San Marino 316
5.157 Sao Tome E Principe 316
5.158 Saudi Arabia 317
5.159 Senegal 317
5.160 Seychelles 318
5.161 Sierra Leone 318
5.162 Singapore 318
5.163 Slovakia 318
5.164 Slovenia 319
5.165 Solomon Islands 319
5.166 Somalia 319
5.167 South Africa 320
5.168 South Korea 320
5.169 Spain 321
5.170 Sri Lanka 321
5.171 St. Kitts and Nevis 322
5.172 St. Lucia 322
5.173 St. Vincent and the Grenadines 322
5.174 Sudan 323
5.175 Suriname 323
5.176 Swaziland 323
5.177 Sweden 324
5.178 Switzerland 324
5.179 Syrian Arab Republic 325
5.180 Taiwan 326
5.181 Tajikistan 327
5.182 Tanzania 327
5.183 Thailand 328
5.184 The Bahamas 328
5.185 The British Virgin Islands 328
5.186 The Cayman Islands 329
5.187 The Falkland Islands 329
5.188 The Gambia 329
5.189 The Netherlands 330
5.190 The Netherlands Antilles 330
5.191 The Northern Mariana Island 330
5.192 The U.S. Virgin Islands 331
5.193 The United Arab Emirates 331
5.194 The United Kingdom 331
5.195 The United States 332
5.196 Togo 333
5.197 Tokelau 333
5.198 Tonga 334
5.199 Trinidad and Tobago 334
5.200 Tunisia 334
5.201 Turkey 335
5.202 Turkmenistan 335
5.203 Tuvalu 335
5.204 Uganda 336
5.205 Ukraine 336
5.206 Uruguay 337
5.207 Uzbekistan 337
5.208 Vanuatu 338
5.209 Venezuela 338
5.210 Vietnam 339
5.211 Wallis and Futuna 339
5.212 Western Sahara 339
5.213 Western Samoa 339
5.214 Yemen 340
5.215 Zambia 340
5.216 Zimbabwe 341
6 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 342
6.1 Disclaimers & Safe Harbor 342
6.2 ICON Group International, Inc. User Agreement Provisions 343

Note: Product cover images may vary from those shown

RELATED PRODUCTS

Our Clients

Our clients' logos