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 2,000 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 this report we define the sales of ADME-toxicology testing as including all commonly understood products and/or services falling within this broad category, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include Accelrys, Inc., (Dassault Systemes BIOVIA), ACEA Biosciences, ADMEcell, Agilent Technologies, Albany MOLECULAR RESEARCH, Beckman Coulter, Catalent, Charles River Laboratories International, CompuDrug International, Covance, Inc. (LabCorp), Cyprotex, Dassault Systèmes, Eurofins ADME BIOANALYSES, Galapagos, General Electric Company (Healthcare), Life Technologies, Miltenyi Biotec, Molecular Discovery, MultiCASE, Optivia Biotechnology, PerkinElmer, Promega Corporation, Quintiles, Simulations Plus, Takara Bio, Tecan Group, and Thermo Fischer Scientific. In addition to the sources indicated, additional information available to the public via news and/or press releases published by players in the industry was considered in defining and calibrating this category. All figures are in a common currency (U.S. dollars, millions) and are not adjusted for inflation (i.e., they are current values). Exchange rates used to convert to U.S. dollars are averages for the year in question. Future exchange rates are assumed to be constant in the future at the current level (the average of the year of this publication's release in 2022).

This study covers the world outlook for ADME-toxicology testing 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 ADME-toxicology testing. 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.

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