The 2016 Report on Indian Ambient Ready Meals: World Market Segmentation by City

Apr, 2015   |   515  Pages   |   Icon Group International, Inc   |   Format : PDF

This report was created for global strategic planners who cannot be content with traditional methods of segmenting world markets. With the advent of a borderless world, cities become a more important criteria in prioritizing markets, as opposed to regions, continents, or countries. This report covers the top 2000 cities in over 200 countries. It does so by reporting the estimated market size (in terms of latent demand) for each major city of the world. It then ranks these cities and reports them in terms of their size as a percent of the country where they are located, their geographic region (e.g. Africa, Asia, Europe, Middle East, North America, Latin America), and the total world market. In performing various economic analyses for its clients, I have been occasionally asked to investigate the market potential for various products and services across cities. The purpose of the studies is to understand the density of demand within a country and the extent to which a city might be used as a point of distribution within its region. From an economic perspective, however, a city does not represent a population within rigid geographical boundaries. To an economist or strategic planner, a city represents an area of dominant influence over markets in adjacent areas. This influence varies from one industry to another, but also from one period of time to another. In what follows, I summarize the economic potential for the world's major cities for "Indian ambient ready mea

Table Of Contents:

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 15
1.2.3.3 Step 3. Filling in Missing Values 15
1.2.3.4 Step 4. Varying Parameter, Non-linear Estimation 15
1.2.3.5 Step 5. Fixed-Parameter Linear Estimation 16
1.2.3.6 Step 6. Aggregation and Benchmarking 16
1.3 Frequently Asked Questions (FAQ) 16
1.3.1 Category Definition 16
1.3.2 Units 16
1.3.3 Methodology 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 193
4.1 A: from Aalborg to Azul 193
4.2 B: from Babahoyo to Byumba Town 206
4.3 C: from Caaguazu to Czestochowa 221
4.4 D: from Da Lat to Dzuunmod 233
4.5 E: from Ebebiyin to Estel 239
4.6 F: from Facatativ to Fuzhou 243
4.7 G: from Gabes to Gyumri 246
4.8 H: from Ha Long (Hong Gai) to Hyesan 253
4.9 I: from Ialta (Yalta) to Izmit 259
4.10 J: from Jabalpur to Jyvaskyla 263
4.11 K: from Kabankalan to Kyzylorda 267
4.12 L: from La Banda to Lysychans'k 281
4.13 M: from Ma`arrat an Nu`man to Mzuzu 289
4.14 N: from Naberezhnye Tchelny to Nzerekore 304
4.15 O: from Oakville to Ozamis City 312
4.16 P: from Pabna to Pyongyang 316
4.17 Q: from Qaemshahr to Quito 326
4.18 R: from Ra'annana to Rzeszw 328
4.19 S: from Saanich to Szombathely 333
4.20 T: from Tabaco to Tyumen 352
4.21 U: from Uberaba to Uzhhorod 364
4.22 V: from Vacoas-Phoenix to Vung Tau 366
4.23 W: from Wa to Wuxi 371
4.24 X: from Xai-Xai to Xuzhou 373
4.25 Y: from Yakutsk to Yozgat 374
4.26 Z: from Zaanstad to Zwolle 376
5 CITY SEGMENTS RANKED BY COUNTRY 379
5.1 Afghanistan 379
5.2 Albania 379
5.3 Algeria 380
5.4 American Samoa 381
5.5 Andorra 381
5.6 Angola 381
5.7 Antigua and Barbuda 381
5.8 Argentina 382
5.9 Armenia 385
5.10 Aruba 385
5.11 Australia 386
5.12 Austria 387
5.13 Azerbaijan 387
5.14 Bahrain 387
5.15 Bangladesh 388
5.16 Barbados 389
5.17 Belarus 389
5.18 Belgium 389
5.19 Belize 390
5.20 Benin 390
5.21 Bermuda 390
5.22 Bhutan 391
5.23 Bolivia 391
5.24 Bosnia and Herzegovina 391
5.25 Botswana 392
5.26 Brazil 393
5.27 Brunei 395
5.28 Bulgaria 396
5.29 Burkina Faso 396
5.30 Burma 397
5.31 Burundi 397
5.32 Cambodia 397
5.33 Cameroon 398
5.34 Canada 399
5.35 Cape Verde 400
5.36 Central African Republic 400
5.37 Chad 401
5.38 Chile 402
5.39 China 403
5.40 Christmas Island 404
5.41 Colombia 405
5.42 Comoros 406
5.43 Congo (formerly Zaire) 407
5.44 Cook Islands 407
5.45 Costa Rica 407
5.46 Cote d'Ivoire 408
5.47 Croatia 408
5.48 Cuba 409
5.49 Cyprus 409
5.50 Czech Republic 410
5.51 Denmark 410
5.52 Djibouti 411
5.53 Dominica 411
5.54 Dominican Republic 412
5.55 Ecuador 413
5.56 Egypt 414
5.57 El Salvador 415
5.58 Equatorial Guinea 415
5.59 Eritrea 415
5.60 Estonia 416
5.61 Ethiopia 416
5.62 Fiji 416
5.63 Finland 417
5.64 France 418
5.65 French Polynesia 419
5.66 Gabon 419
5.67 Georgia 419
5.68 Germany 420
5.69 Ghana 421
5.70 Greece 422
5.71 Greenland 423
5.72 Grenada 423
5.73 Guam 423
5.74 Guatemala 424
5.75 Guinea 424
5.76 Guinea-Bissau 425
5.77 Guyana 425
5.78 Haiti 425
5.79 Honduras 426
5.80 Hong Kong 426
5.81 Hungary 427
5.82 Iceland 427
5.83 India 428
5.84 Indonesia 429
5.85 Iran 431
5.86 Iraq 433
5.87 Ireland 433
5.88 Israel 434
5.89 Italy 435
5.90 Jamaica 436
5.91 Japan 437
5.92 Jordan 439
5.93 Kazakhstan 440
5.94 Kenya 441
5.95 Kiribati 441
5.96 Kosovo 442
5.97 Kuwait 442
5.98 Kyrgyzstan 443
5.99 Laos 443
5.100 Latvia 443
5.101 Lebanon 444
5.102 Lesotho 444
5.103 Liberia 444
5.104 Libya 445
5.105 Liechtenstein 445
5.106 Lithuania 445
5.107 Luxembourg 446
5.108 Macau 446
5.109 Macedonia 446
5.110 Madagascar 447
5.111 Malawi 447
5.112 Malaysia 448
5.113 Maldives 448
5.114 Mali 449
5.115 Malta 449
5.116 Marshall Islands 449
5.117 Mauritania 450
5.118 Mauritius 450
5.119 Mexico 451
5.120 Micronesia Federation 452
5.121 Moldova 452
5.122 Monaco 452
5.123 Mongolia 453
5.124 Montenegro 453
5.125 Morocco 454
5.126 Mozambique 455
5.127 Namibia 455
5.128 Nauru 456
5.129 Nepal 456
5.130 New Caledonia 456
5.131 New Zealand 457
5.132 Nicaragua 457
5.133 Niger 458
5.134 Nigeria 459
5.135 Niue 460
5.136 Norfolk Island 460
5.137 North Korea 461
5.138 North Sudan 462
5.139 Norway 462
5.140 Oman 463
5.141 Pakistan 464
5.142 Palau 465
5.143 Palestine 466
5.144 Panama 466
5.145 Papua New Guinea 466
5.146 Paraguay 467
5.147 Peru 467
5.148 Philippines 468
5.149 Poland 472
5.150 Portugal 473
5.151 Puerto Rico 473
5.152 Qatar 474
5.153 Republic of Congo 474
5.154 Romania 475
5.155 Russia 476
5.156 Rwanda 478
5.157 San Marino 478
5.158 Sao Tome E Principe 478
5.159 Saudi Arabia 479
5.160 Senegal 479
5.161 Serbia 480
5.162 Seychelles 480
5.163 Sierra Leone 480
5.164 Singapore 481
5.165 Slovakia 481
5.166 Slovenia 481
5.167 Solomon Islands 482
5.168 Somalia 482
5.169 South Africa 483
5.170 South Korea 484
5.171 South Sudan 485
5.172 Spain 486
5.173 Sri Lanka 487
5.174 St. Kitts and Nevis 488
5.175 St. Lucia 488
5.176 St. Vincent and the Grenadines 488
5.177 Suriname 488
5.178 Swaziland 489
5.179 Sweden 489
5.180 Switzerland 490
5.181 Syrian Arab Republic 491
5.182 Taiwan 492
5.183 Tajikistan 492
5.184 Tanzania 493
5.185 Thailand 493
5.186 The Bahamas 494
5.187 The British Virgin Islands 494
5.188 The Cayman Islands 494
5.189 The Falkland Islands 494
5.190 The Gambia 495
5.191 The Netherlands 496
5.192 The Northern Mariana Island 497
5.193 The U.S. Virgin Islands 497
5.194 The United Arab Emirates 497
5.195 The United Kingdom 498
5.196 The United States 499
5.197 Timor - Leste, Democratic Republic of 499
5.198 Togo 500
5.199 Tonga 500
5.200 Trinidad and Tobago 500
5.201 Tunisia 501
5.202 Turkey 502
5.203 Turkmenistan 504
5.204 Tuvalu 504
5.205 Uganda 505
5.206 Ukraine 506
5.207 Uruguay 508
5.208 Uzbekistan 508
5.209 Vanuatu 509
5.210 Venezuela 510
5.211 Vietnam 511
5.212 Wallis and Futuna 511
5.213 Western Sahara 511
5.214 Western Samoa 512
5.215 Yemen 512
5.216 Zambia 512
5.217 Zimbabwe 513
6 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 514
6.1 Disclaimers & Safe Harbor 514
6.2 ICON Group International, Inc. User Agreement Provisions 515

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