Posts Tagged ‘20112016’

The 2011-2016 World Outlook for Diabetes Monitoring Devices

Wednesday, February 6th, 2013

This econometric study covers the world outlook for diabetes monitoring devices 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-a-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 diabetes monitoring devices. 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.

 

The 2011-2016 Outlook for Diabetes Monitoring Devices in the United States

Sunday, December 30th, 2012

This econometric study covers the latent demand outlook for diabetes monitoring devices across the states and cities of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 13,000 cities in the United States. For each city in question, the percent share the city is of it’s state and of the United States is reported. These comparative benchmarks allow the reader to quickly gauge a city vis-a-vis others. This statistical approach can prove very useful to distribution and/or sales force strategies. Using econometric models which project fundamental economic dynamics within each state and city, latent demand estimates are created for diabetes monitoring devices. 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 in the United States). This study gives, however, my estimates for the latent demand, or the P.I.E., for diabetes monitoring devices in the United States. It also shows how the P.I.E. is divided and concentrated across the cities and regional markets of the United States. For each state, I also show my estimates of how the P.I.E. grows over time. In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on strategic planning at graduate schools of business.

 

The 2011-2016 Outlook for Diabetes Monitoring Devices in Japan

Wednesday, October 17th, 2012

This econometric study covers the latent demand outlook for diabetes monitoring devices across the prefectures and cities of Japan. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 1,000 cities in Japan. For each city in question, the percent share the city is of it’s prefecture and of Japan is reported. These comparative benchmarks allow the reader to quickly gauge a city vis-a-vis others. This statistical approach can prove very useful to distribution and/or sales force strategies. Using econometric models which project fundamental economic dynamics within each prefecture and city, latent demand estimates are created for diabetes monitoring devices. 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 in Japan). This study gives, however, my estimates for the latent demand, or the P.I.E., for diabetes monitoring devices in Japan. It also shows how the P.I.E. is divided and concentrated across the cities and regional markets of Japan. For each prefecture, I also show my estimates of how the P.I.E. grows over time. In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on strategic planning at graduate schools of business.

 

The 2011-2016 Outlook for Diabetes Monitoring Devices in India

Monday, September 10th, 2012

This econometric study covers the latent demand outlook for diabetes monitoring devices across the states, union territories and cities of India. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across over 5,100 cities in India. For each city in question, the percent share the city is of it’s state or union territory and of India as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a city vis-a-vis others. This statistical approach can prove very useful to distribution and/or sales force strategies. Using econometric models which project fundamental economic dynamics within each state or union territory and city, latent demand estimates are created for diabetes monitoring devices. 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 in India). This study gives, however, my estimates for the latent demand, or the P.I.E., for diabetes monitoring devices in India. It also shows how the P.I.E. is divided and concentrated across the cities and regional markets of India. For each state or union territory, I also show my estimates of how the P.I.E. grows over time. In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on strategic planning at graduate schools of business.