Contact – +1-276-477-5910
 Email – [email protected]

Home >>

City Segmentation 2023

>>

The Report on Agricultural Disinfectants World Market


The 2023 Report on Agricultural Disinfectants: World Market Segmentation by City

Report code: SDMRCI1639178 | Industry: City Segmentation 2023 | Published On: 6/9/2022


This study covers the world outlook for agricultural disinfectants across more than 2,000 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, however, Professor Parker's estimates for the worldwide latent demand, or the P.I.E., for agricultural disinfectants. It also shows how the P.I.E. is divided across the world's cities. 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.

1 INTRODUCTION  &  METHODOLOGY
1.1 OVERVIEW  AND  DEFINITIONS
1.2 MARKET  POTENTIAL  ESTIMATION  METHODOLOGY
1.2.1 OVERVIEW
1.2.2 WHAT  IS  LATENT  DEMAND  AND  THE  P.I.E.?
1.2.3 THE  METHODOLOGY
1.2.3.1 STEP  1.  PRODUCT  DEFINITION  AND  DATA  COLLECTION
1.2.3.2 STEP  2.  FILTERING  AND  SMOOTHING
1.2.3.3 STEP  3.  FILLING  IN  MISSING  VALUES
1.2.3.4 STEP  4.  VARYING  PARAMETER,  NON-LINEAR  ESTIMATION
1.2.3.5 STEP  5.  FIXED-PARAMETER  LINEAR  ESTIMATION
1.2.3.6 STEP  6.  AGGREGATION  AND  BENCHMARKING
1.3 FREQUENTLY  ASKED  QUESTIONS  (FAQ)
1.3.1 CATEGORY  DEFINITION
1.3.2 UNITS
1.3.3 METHODOLOGY
2 USING  THE  DATA
3 CITY  SEGMENTS  RANKED  BY  MARKET  SIZE
3.1 TOP  15  MARKETS
3.2 MARKETS  16  TO  30
3.3 REMAINING  CITIES  BY  MARKET  RANK
4 CITY  SEGMENTS  IN  ALPHABETICAL  ORDER
4.1 A:  FROM  AALBORG  TO  AZUL
4.2 B:  FROM  BABAHOYO  TO  BYUMBA  TOWN
4.3 C:  FROM  CAAGUAZU  TO  CZĘSTOCHOWA
4.4 D:  FROM  DA  LAT  TO  DZUUNMOD
4.5 E:  FROM  EBEBIYIN  TO  EUNOS  GRC
4.6 F:  FROM  FACATATIVÁ  TO  FUZHOU
4.7 G:  FROM  GABES  TO  GYUMRI
4.8 H:  FROM  HA  LONG  (HONG  GAI)  TO  HYESAN
4.9 I:  FROM  IALTA  (YALTA)  TO  IZMIT
4.10 J:  FROM  JABALPUR  TO  JYVASKYLA
4.11 K:  FROM  KABANKALAN  TO  KYZYLORDA
4.12 L:  FROM  LA  BANDA  TO  LYSYCHANS'K
4.13 M:  FROM  MA`ARRAT  AN  NU`MAN  TO  MZUZU
4.14 N:  FROM  NABEREZHNYE  TCHELNY  TO  NZEREKORE
4.15 O:  FROM  OAKVILLE  TO  OZAMIS  CITY
4.16 P:  FROM  PABNA  TO  PYONGYANG
4.17 Q:  FROM  QAEMSHAHR  TO  QUITO
4.18 R:  FROM  RA'ANNANA  TO  RZESZÓW
4.19 S:  FROM  SAANICH  TO  SZOMBATHELY
4.20 T:  FROM  TABACO  TO  TYUMEN
4.21 U:  FROM  UBERABA  TO  UZHHOROD
4.22 V:  FROM  VACOAS-PHOENIX  TO  VUNG  TAU
4.23 W:  FROM  WA  TO  WUXI
4.24 X:  FROM  XAI-XAI  TO  XUZHOU
4.25 Y:  FROM  YAKUTSK  TO  YUHUA
4.26 Z:  FROM  ZAANSTAD  TO  ZWOLLE
5 CITY  SEGMENTS  RANKED  BY  COUNTRY
5.1 AFGHANISTAN
5.2 ALBANIA
5.3 ALGERIA
5.4 AMERICAN  SAMOA
5.5 ANDORRA
5.6 ANGOLA
5.7 ANTIGUA  AND  BARBUDA
5.8 ARGENTINA
5.9 ARMENIA
5.10 ARUBA
5.11 AUSTRALIA
5.12 AUSTRIA
5.13 AZERBAIJAN
5.14 BAHRAIN
5.15 BANGLADESH
5.16 BARBADOS
5.17 BELARUS
5.18 BELGIUM
5.19 BELIZE
5.20 BENIN
5.21 BERMUDA
5.22 BHUTAN
5.23 BOLIVIA
5.24 BOSNIA  AND  HERZEGOVINA
5.25 BOTSWANA
5.26 BRAZIL
5.27 BRUNEI
5.28 BULGARIA
5.29 BURKINA  FASO
5.30 BURUNDI
5.31 CAMBODIA
5.32 CAMEROON
5.33 CANADA
5.34 CAPE  VERDE
5.35 CHAD
5.36 CHILE
5.37 CHINA
5.38 CHRISTMAS  ISLAND
5.39 COLOMBIA
5.40 COMOROS
5.41 COSTA  RICA
5.42 COTE  D'IVOIRE
5.43 CROATIA
5.44 CUBA
5.45 CYPRUS
5.46 DENMARK
5.47 DJIBOUTI
5.48 DOMINICA
5.49 ECUADOR
5.50 EGYPT
5.51 EL  SALVADOR
5.52 EQUATORIAL  GUINEA
5.53 ERITREA
5.54 ESTONIA
5.55 ESWATINI
5.56 ETHIOPIA
5.57 FIJI
5.58 FINLAND
5.59 FRANCE
5.60 FRENCH  POLYNESIA
5.61 GABON
5.62 GEORGIA
5.63 GERMANY
5.64 GHANA
5.65 GREECE
5.66 GREENLAND
5.67 GRENADA
5.68 GUAM
5.69 GUATEMALA
5.70 GUINEA
5.71 GUINEA-BISSAU
5.72 GUYANA
5.73 HAITI
5.74 HONDURAS
5.75 HONG  KONG
5.76 HUNGARY
5.77 ICELAND
5.78 INDIA
5.79 INDONESIA
5.80 IRAN
5.81 IRAQ
5.82 IRELAND
5.83 ISRAEL
5.84 ITALY
5.85 JAMAICA
5.86 JAPAN
5.87 JORDAN
5.88 KAZAKHSTAN
5.89 KENYA
5.90 KIRIBATI
5.91 KOSOVO
5.92 KUWAIT
5.93 KYRGYZSTAN
5.94 LAOS
5.95 LATVIA
5.96 LEBANON
5.97 LESOTHO
5.98 LIBERIA
5.99 LIBYA
5.100 LIECHTENSTEIN
5.101 LITHUANIA
5.102 LUXEMBOURG
5.103 MACAU
5.104 MACEDONIA
5.105 MADAGASCAR
5.106 MALAWI
5.107 MALAYSIA
5.108 MALI
5.109 MALTA
5.110 MAURITANIA
5.111 MAURITIUS
5.112 MEXICO
5.113 MICRONESIA
5.114 MOLDOVA
5.115 MONACO
5.116 MONGOLIA
5.117 MONTENEGRO
5.118 MOROCCO
5.119 MOZAMBIQUE
5.120 MYANMAR
5.121 NAMIBIA
5.122 NAURU
5.123 NEPAL
5.124 NEW  CALEDONIA
5.125 NEW  ZEALAND
5.126 NICARAGUA
5.127 NIGER
5.128 NIGERIA
5.129 NIUE
5.130 NORFOLK  ISLAND
5.131 NORTH  KOREA
5.132 NORWAY
5.133 OMAN
5.134 PAKISTAN
5.135 PALAU
5.136 PALESTINE
5.137 PANAMA
5.138 PAPUA  NEW  GUINEA
5.139 PARAGUAY
5.140 PERU
5.141 POLAND
5.142 PORTUGAL
5.143 PUERTO  RICO
5.144 QATAR
5.145 ROMANIA
5.146 RUSSIA
5.147 RWANDA
5.148 SAMOA
5.149 SAN  MARINO
5.150 SAO  TOME  E  PRINCIPE
5.151 SAUDI  ARABIA
5.152 SENEGAL
5.153 SERBIA
5.154 SEYCHELLES
5.155 SIERRA  LEONE
5.156 SINGAPORE
5.157 SLOVAKIA
5.158 SLOVENIA
5.159 SOMALIA
5.160 SOUTH  AFRICA
5.161 SOUTH  KOREA
5.162 SOUTH  SUDAN
5.163 SPAIN
5.164 SRI  LANKA
5.165 ST.  KITTS  AND  NEVIS
5.166 ST.  LUCIA
5.167 ST.  VINCENT  AND  THE  GRENADINES
5.168 SUDAN
5.169 SURINAME
5.170 SWEDEN
5.171 SWITZERLAND
5.172 SYRIA
5.173 TAIWAN
5.174 TAJIKISTAN
5.175 TANZANIA
5.176 THAILAND
5.177 THE  BAHAMAS
5.178 THE  BRITISH  VIRGIN  ISLANDS
5.179 THE  CAYMAN  ISLANDS
5.180 THE  CENTRAL  AFRICAN  REPUBLIC
5.181 THE  COOK  ISLANDS
5.182 THE  CZECH  REPUBLIC
5.183 THE  DEMOCRATIC  REPUBLIC  OF  THE  CONGO
5.184 THE  DOMINICAN  REPUBLIC
5.185 THE  FALKLAND  ISLANDS
5.186 THE  GAMBIA
5.187 THE  MALDIVES
5.188 THE  MARSHALL  ISLANDS
5.189 THE  NETHERLANDS
5.190 THE  NORTHERN  MARIANA  ISLANDS
5.191 THE  PHILIPPINES
5.192 THE  REPUBLIC  OF  THE  CONGO
5.193 THE  SOLOMON  ISLANDS
5.194 THE  U.S.  VIRGIN  ISLANDS
5.195 THE  UNITED  ARAB  EMIRATES
5.196 THE  UNITED  KINGDOM
5.197 THE  UNITED  STATES
5.198 TIMOR-LESTE
5.199 TOGO
5.200 TONGA
5.201 TRINIDAD  AND  TOBAGO
5.202 TUNISIA
5.203 TURKEY
5.204 TURKMENISTAN
5.205 TUVALU
5.206 UGANDA
5.207 UKRAINE
5.208 URUGUAY
5.209 UZBEKISTAN
5.210 VANUATU
5.211 VENEZUELA
5.212 VIETNAM
5.213 WALLIS  AND  FUTUNA
5.214 WESTERN  SAHARA
5.215 YEMEN
5.216 ZAMBIA
5.217 ZIMBABWE
6 DISCLAIMERS,  WARRANTIES,  AND  USER  AGREEMENT  PROVISIONS
6.1 DISCLAIMERS  &  SAFE  HARBOR
6.2 ICON  GROUP  INTERNATIONAL,  INC.  USER  AGREEMENT  PROVISIONS
To know more kindly contact [email protected]
 Feel free to contact us

 
Choose License Type
Select User Type


Report code




x

Use Code

SDMR20

Purchase any report

AVAIL FLAT DISCOUNT