• +353-1-416-8900(GMT OFFICE HOURS)
  • 1-800-526-8630(US/CAN TOLL FREE)
  • 1-917-300-0470(EST OFFICE HOURS)
The 2009 Report on Fire Tube Steam and Vertical Water Tube Steel Power Boilers and Other Stationary and Marine Power Boilers Excluding for Nuclear Applications: World Market Segmentation by City - Product Image

The 2009 Report on Fire Tube Steam and Vertical Water Tube Steel Power Boilers and Other Stationary and Marine Power Boilers Excluding for Nuclear Applications: World Market Segmentation by City

  • ID: 1030963
  • May 2009
  • Region: Global
  • 349 pages
  • ICON Group International

Market Potential Estimation Methodology
Overview
This study covers the world outlook for fire tube steam and vertical water tube steel power boilers and other stationary and marine power boilers excluding for nuclear applications 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 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 16
1.2.3.5 Step 5. Fixed-Parameter Linear Estimation 17
1.2.3.6 Step 6. Aggregation and Benchmarking 17
2 USING THE DATA 18
3 CITY SEGMENTS RANKED BY MARKET SIZE 19
3.1 Top 15 Markets 19
3.2 Markets 16 to 30 20
3.3 Remaining Cities by Market Rank 21
4 CITY SEGMENTS IN ALPHABETICAL ORDER 124
4.1 A: from Aalborg to Az Zawiyah 124
4.2 B: from Bacolod to Bydgoszcz 131
4.3 C: from Caaguazu to Cyangugu 139
4.4 D: from Da Nang to Dzhizak 147
4.5 E: from East London to Esteli 151
4.6 F: from Fagatogo to Funchal 153
4.7 G: from Gabes to Gyumri 156
4.8 H: from Hachinohe to Hyderabad 160
4.9 I: from Iasi to Izmir 164
4.10 J: from Jaboatao to Jyvaskyla 167
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 243
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 252
5.25 Botswana 252
5.26 Brazil 253
5.27 Brunei 258
5.28 Bulgaria 259
5.29 Burkina Faso 259
5.30 Burma 260
5.31 Burundi 260
5.32 Cambodia 260
5.33 Cameroon 261
5.34 Canada 261
5.35 Cape Verde 262
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 265
5.43 Congo (formerly Zaire) 265
5.44 Cook Islands 265
5.45 Costa Rica 266
5.46 Cote dIvoire 266
5.47 Croatia 267
5.48 Cuba 267
5.49 Cyprus 268
5.50 Czech Republic 268
5.51 Denmark 269
5.52 Djibouti 269
5.53 Dominica 270
5.54 Dominican Republic 270
5.55 Ecuador 271
5.56 Egypt 271
5.57 El Salvador 272
5.58 Equatorial Guinea 272
5.59 Estonia 272
5.60 Ethiopia 273
5.61 Fiji 273
5.62 Finland 274
5.63 France 274
5.64 French Guiana 275
5.65 French Polynesia 275
5.66 Gabon 275
5.67 Georgia 276
5.68 Germany 276
5.69 Ghana 277
5.70 Greece 277
5.71 Greenland 278
5.72 Grenada 278
5.73 Guadeloupe 279
5.74 Guam 279
5.75 Guatemala 280
5.76 Guinea 280
5.77 Guinea-Bissau 280
5.78 Guyana 281
5.79 Haiti 281
5.80 Honduras 282
5.81 Hong Kong 282
5.82 Hungary 283
5.83 Iceland 283
5.84 India 284
5.85 Indonesia 285
5.86 Iran 286
5.87 Iraq 286
5.88 Ireland 287
5.89 Israel 287
5.90 Italy 288
5.91 Jamaica 288
5.92 Japan 289
5.93 Jordan 292
5.94 Kazakhstan 292
5.95 Kenya 293
5.96 Kiribati 293
5.97 Kuwait 293
5.98 Kyrgyzstan 294
5.99 Laos 294
5.100 Latvia 294
5.101 Lebanon 295
5.102 Lesotho 295
5.103 Liberia 295
5.104 Libya 296
5.105 Liechtenstein 296
5.106 Lithuania 297
5.107 Luxembourg 297
5.108 Macau 297
5.109 Madagascar 298
5.110 Malawi 298
5.111 Malaysia 299
5.112 Maldives 299
5.113 Mali 300
5.114 Malta 300
5.115 Marshall Islands 300
5.116 Martinique 301
5.117 Mauritania 301
5.118 Mauritius 302
5.119 Mexico 303
5.120 Micronesia Federation 304
5.121 Moldova 304
5.122 Monaco 304
5.123 Mongolia 305
5.124 Morocco 305
5.125 Mozambique 306
5.126 Namibia 306
5.127 Nauru 306
5.128 Nepal 307
5.129 New Caledonia 307
5.130 New Zealand 308
5.131 Nicaragua 308
5.132 Niger 309
5.133 Nigeria 309
5.134 Niue 310
5.135 Norfolk Island 310
5.136 North Korea 310
5.137 Norway 311
5.138 Oman 311
5.139 Pakistan 312
5.140 Palau 312
5.141 Palestine 312
5.142 Panama 313
5.143 Papua New Guinea 313
5.144 Paraguay 314
5.145 Peru 314
5.146 Philippines 315
5.147 Poland 316
5.148 Portugal 316
5.149 Puerto Rico 317
5.150 Qatar 317
5.151 Republic of Congo 318
5.152 Reunion 318
5.153 Romania 319
5.154 Russia 319
5.155 Rwanda 320
5.156 San Marino 320
5.157 Sao Tome E Principe 320
5.158 Saudi Arabia 321
5.159 Senegal 321
5.160 Seychelles 322
5.161 Sierra Leone 322
5.162 Singapore 322
5.163 Slovakia 323
5.164 Slovenia 323
5.165 Solomon Islands 323
5.166 Somalia 324
5.167 South Africa 324
5.168 South Korea 325
5.169 Spain 325
5.170 Sri Lanka 326
5.171 St. Kitts and Nevis 326
5.172 St. Lucia 326
5.173 St. Vincent and the Grenadines 327
5.174 Sudan 327
5.175 Suriname 327
5.176 Swaziland 328
5.177 Sweden 328
5.178 Switzerland 329
5.179 Syrian Arab Republic 329
5.180 Taiwan 330
5.181 Tajikistan 331
5.182 Tanzania 331
5.183 Thailand 332
5.184 The Bahamas 332
5.185 The British Virgin Islands 332
5.186 The Cayman Islands 333
5.187 The Falkland Islands 333
5.188 The Gambia 333
5.189 The Netherlands 334
5.190 The Netherlands Antilles 334
5.191 The Northern Mariana Island 334
5.192 The U.S. Virgin Islands 335
5.193 The United Arab Emirates 335
5.194 The United Kingdom 336
5.195 The United States 337
5.196 Togo 338
5.197 Tokelau 338
5.198 Tonga 339
5.199 Trinidad and Tobago 339
5.200 Tunisia 339
5.201 Turkey 340
5.202 Turkmenistan 340
5.203 Tuvalu 341
5.204 Uganda 341
5.205 Ukraine 342
5.206 Uruguay 342
5.207 Uzbekistan 343
5.208 Vanuatu 343
5.209 Venezuela 344
5.210 Vietnam 345
5.211 Wallis and Futuna 345
5.212 Western Sahara 345
5.213 Western Samoa 346
5.214 Yemen 346
5.215 Zambia 346
5.216 Zimbabwe 347
6 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 348
6.1 Disclaimers & Safe Harbor 348
6.2 ICON Group International, Inc. User Agreement Provisions 349

Note: Product cover images may vary from those shown

RELATED PRODUCTS

Our Clients

Our clients' logos