Welcome Guest   Log In Register

The 2018-2023 World Outlook for Aluminum Sheet Metal Work and Dust-Collection Ducts

 Published On: Apr, 2015 |    No of Pages: 244 |  Published By: Icon Group International, Inc | Format: PDF
Request Free Sample

This econometric study covers the world outlook for aluminum sheet metal work and dust-collection ducts across more than 200 countries. For each year reported, estimates are given for the latent demand, or potential industry earnings (P.I.E.), for the country in question (in millions of U.S. dollars), the percent share the country is of the region and of the globe. These comparative benchmarks allow the reader to quickly gauge a country 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 230 countries of the world).

This study gives, however, my estimates for the worldwide latent demand, or the P.I.E., for aluminum sheet metal work and dust-collection ducts. It also shows how the P.I.E. is divided across the world’s regional and national markets. For each country, I also show my estimates of how the P.I.E. grows over time (positive or negative growth). In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on international strategic planning at graduate schools of business.

Table Of Contents:

1 INTRODUCTION 10
1.1 Overview 10
1.2 What is Latent Demand and the P.I.E.? 10
1.3 The Methodology 11
1.3.1 Step 1. Product Definition and Data Collection 12
1.3.2 Step 2. Filtering and Smoothing 13
1.3.3 Step 3. Filling in Missing Values 13
1.3.4 Step 4. Varying Parameter, Non-linear Estimation 14
1.3.5 Step 5. Fixed-Parameter Linear Estimation 14
1.3.6 Step 6. Aggregation and Benchmarking 15
1.3.7 Step 7. Latent Demand Density: Allocating Across Cities 15
1.4 Frequently Asked Questions (FAQ) 15
1.4.1 Category Definition 15
1.4.2 Units 15
1.4.3 Methodology 17
2 SUMMARY OF FINDINGS 19
2.1 The Worldwide Market Potential 19
3 AFRICA 21
3.1 Executive Summary 21
3.2 Algeria 23
3.3 Angola 25
3.4 Benin 25
3.5 Botswana 26
3.6 Burkina Faso 27
3.7 Burundi 28
3.8 Cameroon 29
3.9 Cape Verde 30
3.10 Central African Republic 30
3.11 Chad 31
3.12 Comoros 32
3.13 Congo (formerly Zaire) 33
3.14 Cote d'Ivoire 34
3.15 Djibouti 34
3.16 Egypt 35
3.17 Equatorial Guinea 36
3.18 Eritrea 37
3.19 Ethiopia 38
3.20 Gabon 39
3.21 Ghana 39
3.22 Guinea 41
3.23 Guinea-Bissau 41
3.24 Kenya 42
3.25 Lesotho 44
3.26 Liberia 45
3.27 Libya 45
3.28 Madagascar 46
3.29 Malawi 47
3.30 Mali 47
3.31 Mauritania 48
3.32 Mauritius 49
3.33 Morocco 49
3.34 Mozambique 50
3.35 Namibia 51
3.36 Niger 52
3.37 Nigeria 53
3.38 North Sudan 55
3.39 Republic of Congo 56
3.40 Rwanda 57
3.41 Sao Tome E Principe 57
3.42 Senegal 58
3.43 Sierra Leone 59
3.44 Somalia 59
3.45 South Africa 60
3.46 South Sudan 61
3.47 Swaziland 62
3.48 Tanzania 62
3.49 The Gambia 63
3.50 Togo 64
3.51 Tunisia 65
3.52 Uganda 66
3.53 Western Sahara 67
3.54 Zambia 67
3.55 Zimbabwe 68
4 ASIA 70
4.1 Executive Summary 70
4.2 Bangladesh 72
4.3 Bhutan 74
4.4 Brunei 74
4.5 Burma 75
4.6 Cambodia 76
4.7 China 76
4.8 Hong Kong 78
4.9 India 79
4.10 Indonesia 81
4.11 Japan 83
4.12 Laos 86
4.13 Macau 87
4.14 Malaysia 88
4.15 Maldives 89
4.16 Mongolia 89
4.17 Nepal 90
4.18 North Korea 91
4.19 Papua New Guinea 92
4.20 Philippines 93
4.21 Seychelles 97
4.22 Singapore 98
4.23 South Korea 98
4.24 Sri Lanka 100
4.25 Taiwan 100
4.26 Thailand 101
4.27 Timor - Leste, Democratic Republic of 102
4.28 Vietnam 103
5 EUROPE & THE MIDDLE EAST 104
5.1 Executive Summary 104
5.2 Afghanistan 106
5.3 Albania 107
5.4 Andorra 107
5.5 Armenia 108
5.6 Austria 109
5.7 Azerbaijan 110
5.8 Bahrain 111
5.9 Belarus 111
5.10 Belgium 112
5.11 Bosnia and Herzegovina 113
5.12 Bulgaria 114
5.13 Croatia 115
5.14 Cyprus 115
5.15 Czech Republic 116
5.16 Denmark 117
5.17 Estonia 118
5.18 Finland 119
5.19 France 120
5.20 Georgia 122
5.21 Germany 122
5.22 Greece 123
5.23 Hungary 125
5.24 Iceland 126
5.25 Iran 127
5.26 Iraq 130
5.27 Ireland 131
5.28 Israel 131
5.29 Italy 132
5.30 Jordan 134
5.31 Kazakhstan 134
5.32 Kosovo 136
5.33 Kuwait 136
5.34 Kyrgyzstan 137
5.35 Latvia 138
5.36 Lebanon 139
5.37 Liechtenstein 139
5.38 Lithuania 140
5.39 Luxembourg 141
5.40 Macedonia 141
5.41 Malta 142
5.42 Moldova 143
5.43 Monaco 143
5.44 Montenegro 144
5.45 Norway 145
5.46 Oman 146
5.47 Pakistan 146
5.48 Palestine 148
5.49 Poland 149
5.50 Portugal 151
5.51 Qatar 152
5.52 Romania 152
5.53 Russia 153
5.54 San Marino 156
5.55 Saudi Arabia 156
5.56 Serbia 157
5.57 Slovakia 158
5.58 Slovenia 159
5.59 Spain 160
5.60 Sweden 162
5.61 Switzerland 163
5.62 Syrian Arab Republic 164
5.63 Tajikistan 166
5.64 The Netherlands 166
5.65 The United Arab Emirates 168
5.66 The United Kingdom 168
5.67 Turkey 170
5.68 Turkmenistan 173
5.69 Ukraine 174
5.70 Uzbekistan 176
5.71 Yemen 177
6 LATIN AMERICA 179
6.1 Executive Summary 179
6.2 Argentina 181
6.3 Belize 184
6.4 Bolivia 185
6.5 Brazil 186
6.6 Chile 189
6.7 Colombia 190
6.8 Costa Rica 192
6.9 Ecuador 193
6.10 El Salvador 194
6.11 Guatemala 195
6.12 Guyana 196
6.13 Honduras 196
6.14 Mexico 197
6.15 Nicaragua 199
6.16 Panama 200
6.17 Paraguay 200
6.18 Peru 201
6.19 Suriname 202
6.20 The Falkland Islands 203
6.21 Uruguay 204
6.22 Venezuela 205
7 NORTH AMERICA & THE CARIBBEAN 207
7.1 Executive Summary 207
7.2 Antigua and Barbuda 209
7.3 Aruba 209
7.4 Barbados 210
7.5 Bermuda 211
7.6 Canada 211
7.7 Cuba 213
7.8 Dominica 214
7.9 Dominican Republic 215
7.10 Greenland 216
7.11 Grenada 217
7.12 Haiti 217
7.13 Jamaica 218
7.14 Puerto Rico 219
7.15 St. Kitts and Nevis 220
7.16 St. Lucia 220
7.17 St. Vincent and the Grenadines 221
7.18 The Bahamas 222
7.19 The British Virgin Islands 222
7.20 The Cayman Islands 223
7.21 The U.S. Virgin Islands 224
7.22 The United States 224
7.23 Trinidad and Tobago 226
8 OCEANA 227
8.1 Executive Summary 227
8.2 American Samoa 228
8.3 Australia 229
8.4 Christmas Island 230
8.5 Cook Islands 230
8.6 Fiji 231
8.7 French Polynesia 231
8.8 Guam 232
8.9 Kiribati 233
8.10 Marshall Islands 233
8.11 Micronesia Federation 234
8.12 Nauru 234
8.13 New Caledonia 235
8.14 New Zealand 236
8.15 Niue 237
8.16 Norfolk Island 237
8.17 Palau 238
8.18 Solomon Islands 238
8.19 The Northern Mariana Island 239
8.20 Tonga 240
8.21 Tuvalu 240
8.22 Vanuatu 241
8.23 Wallis and Futuna 241
8.24 Western Samoa 242
9 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 243
9.1 Disclaimers & Safe Harbor 243
9.2 ICON Group International, Inc. User Agreement Provisions 244

If the above report does not have the information suitable for your business, we can provide custom research that can be lucrative for your business or enhance your profession.
Custom Research