The 2023-2028 Outlook for Mobile Mapping Systems for US Zip Codes

This study covers the latent demand outlook for mobile mapping systems across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code i...

1/9/2023 | the United States Outlook 2023

The 2023-2028 Outlook for Mobile Marketing and Advertising for US Zip Codes

This study covers the latent demand outlook for mobile marketing and advertising across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each ...

1/9/2023 | the United States Outlook 2023

The 2023-2028 Outlook for Mobile Mapping Imaging Services for US Zip Codes

This study covers the latent demand outlook for mobile mapping imaging services across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each z...

1/9/2023 | the United States Outlook 2023

The 2023-2028 Outlook for Mobile Mapping for US Zip Codes

This study covers the latent demand outlook for mobile mapping across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in questi...

1/9/2023 | the United States Outlook 2023

The 2023-2028 Outlook for Mobile Logistic Robots for US Zip Codes

This study covers the latent demand outlook for mobile logistic robots across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code i...

1/9/2023 | the United States Outlook 2023

The 2023-2028 Outlook for Mobile Learning for US Zip Codes

This study covers the latent demand outlook for mobile learning across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in quest...

1/9/2023 | the United States Outlook 2023

The 2023-2028 Outlook for Mobile Learning Technologies for US Zip Codes

This study covers the latent demand outlook for mobile learning technologies across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip ...

1/9/2023 | the United States Outlook 2023

The 2023-2028 Outlook for Mobile In-App Virtual Goods for US Zip Codes

This study covers the latent demand outlook for mobile in-App virtual goods across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip c...

1/9/2023 | the United States Outlook 2023

The 2023-2028 Outlook for Mobile Internet Apps and Advertising Services for US Zip Codes

This study covers the latent demand outlook for mobile internet apps and advertising services across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United Stat...

1/9/2023 | the United States Outlook 2023

The 2023-2028 Outlook for Mobile Healthcare for US Zip Codes

This study covers the latent demand outlook for mobile healthcare across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in que...

1/9/2023 | the United States Outlook 2023

This study covers the latent demand outlook for mobile mapping systems across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in question, the percent share the zip code is of its state and of the United States as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a zip code vis-à-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 zip code, latent demand estimates are created for mobile mapping systems. 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. In this report we define the sales of mobile mapping systems as including all commonly understood products and/or services falling within this broad category, such as 3D mapping, indoor mapping, location based services and searches, imaging services, aerial mobile mapping, emergency response planning, internet applications, and facility management, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include CycloMedia Technology, Everyscape, Google, HERE Technologies, Immersive Media Company, Javad Gnss, Leica, Mapjack International, Mitsubishi, NAVTEQ, NovAtel, OpTech, Tele Atlas, Topcon, Trimble, and Trimple. 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). ...

1/9/2023

This study covers the latent demand outlook for mobile marketing and advertising across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in question, the percent share the zip code is of its state and of the United States as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a zip code vis-à-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 zip code, latent demand estimates are created for mobile marketing and advertising. 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. In this report we define the sales of mobile marketing and advertising as including all commonly understood services falling within this broad category, such as marketing and advertising via mobile phone applications, such as mobile Internet and text messaging, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include dotMobi, M:Metrics, mBlox, m-Via, and Way Systems. 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). ...

1/9/2023

This study covers the latent demand outlook for mobile mapping imaging services across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in question, the percent share the zip code is of its state and of the United States as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a zip code vis-à-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 zip code, latent demand estimates are created for mobile mapping imaging services. 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. In this report we define the sales of mobile mapping imaging services 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 CycloMedia Technology, Everyscape, Google, HERE Technologies, Immersive Media Company, Javad Gnss, Leica Geosystems, Mapjack International, Mitsubishi, NovAtel, OpTech, Topcon Corporation, and Trimble. 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). ...

1/9/2023

This study covers the latent demand outlook for mobile mapping across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in question, the percent share the zip code is of its state and of the United States as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a zip code vis-à-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 zip code, latent demand estimates are created for mobile mapping. 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. In this report we define the sales of mobile mapping as including all commonly understood services falling within this broad category, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include Apple, ArcGIS Online (Esri), Baidu Maps, Ericsson, Foursquare, GeoMapServer, Google, Immersive Media Company, Inrix, Javad Gnss, Leica Geosystems, MapmyIndia, Mapquest, Microsoft, Mitsubishi Electric Corporation, NavInfo, NovAtel, OpenStreetMap, Qualcomm Atheros, TeleCommunication Systems, TomTom, Topcon Positioning Systems, Trimble Navigation, and ViaMichelin. 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). ...

1/9/2023

This study covers the latent demand outlook for mobile logistic robots across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in question, the percent share the zip code is of its state and of the United States as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a zip code vis-à-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 zip code, latent demand estimates are created for mobile logistic robots. 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. In this report we define the sales of mobile logistic robots 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 Adept Technology, Aethon, Amazon Robotics, Asic Robotics, Clearpath, Fetch Robotics, GreyOrange, KUKA, Mobile Industrial Robots, and Savioke. 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). ...

1/9/2023

This study covers the latent demand outlook for mobile learning across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in question, the percent share the zip code is of its state and of the United States as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a zip code vis-à-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 zip code, latent demand estimates are created for mobile learning. 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. In this report we define the sales of mobile learning as including all commonly understood services falling within this broad category, such as mobile content authoring, e-book, portable learning management system (LMS), mobile and video-based courseware, interactive assessment, content development, and mobile (M) enablement solutions, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include Adobe, Apple, Inc., AT&T, Blackboard, Cisco, Citrix Systems, Dell, Desire2Learn, dominKnow, IBM Corporation, Kineo, Netdimensions, PeopleFluent, Promethean, Saba Software, SAP, Skillsoft, SumTotal Systems, and Upside Learning Solutions Pvt. 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). ...

1/9/2023

This study covers the latent demand outlook for mobile learning technologies across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in question, the percent share the zip code is of its state and of the United States as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a zip code vis-à-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 zip code, latent demand estimates are created for mobile learning technologies. 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. In this report we define the sales of mobile learning technologies as including all commonly understood products and/or services falling within this broad category, such as subscription-based mobile learning value-added services (VAS), innovate mobile learning apps, smart location-based learning apps, smartphone-enabled virtual reality (VR) education apps, and industrial augmented mobile decision support products, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include Adobe, Netdimensions, Promethean, Saba Software, Skillsoft, and Sumtotal Systems. 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). ...

1/9/2023

This study covers the latent demand outlook for mobile in-App virtual goods across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in question, the percent share the zip code is of its state and of the United States as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a zip code vis-à-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 zip code, latent demand estimates are created for mobile in-App virtual goods. 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. In this report we define the sales of mobile in-App virtual goods as including all commonly understood products falling within this broad category, such as microtransactions within mobile applications, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include Apple, Facebook, IBM, Microsoft, SCVNGR, and Zynga. 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). ...

1/9/2023

This study covers the latent demand outlook for mobile internet apps and advertising services across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in question, the percent share the zip code is of its state and of the United States as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a zip code vis-à-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 zip code, latent demand estimates are created for mobile internet apps and advertising services. 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. In this report we define the sales of mobile internet apps and advertising services as including all commonly understood services falling within this broad category, such as mobile internet advertisements and apps, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include Apple, Facebook, Google, Microsoft, Nintendo, and Yahoo. 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). ...

1/9/2023

This study covers the latent demand outlook for mobile healthcare across the states and zip codes of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 10,833 zip codes in the United States. For each zip code in question, the percent share the zip code is of its state and of the United States as a whole is reported. These comparative benchmarks allow the reader to quickly gauge a zip code vis-à-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 zip code, latent demand estimates are created for mobile healthcare. 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. In this report we define the sales of mobile healthcare as including all commonly understood products and/or services falling within this broad category, such as cardiac, blood pressure, and sleep monitoring devices diagnosis, treatment, and prevention services therapeutic treatment technologies for diabetes, neurology, and respiratory disorders and mobile healthcare services, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include Bayer, Cardionet, LifeWatch, Masimo, Omron Healthcare, and Philips. 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). ...

1/9/2023

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