The 2023-2028 World Outlook for Commercial Smart Furniture
This study covers the world outlook for commercial smart furniture across more than 190 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-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 covers commercial smart furniture as defined by the North American Industrial Classification system or NAICS (pronounced nakes).
The NAICS code for commercial smart furniture is 324191. It is for this definition that aggregate latent demand estimates are derived. Commercial smart furniture is specifically defined as follows:
324191 This U.S. industry comprises establishments primarily engaged in blending or compounding refined petroleum to make lubricating oils and greases and/or re-refining used petroleum lubricating oils.
3241910 PETROLEUM LUBRICATING OILS AND GREASES, MADE FROM REFINED PETROLEUM
3241911 Lubricating and similar oils
3241912 Lubricating greases
324191M Miscellaneous receipts
324191P Primary products
324191S Secondary products
32419101 Petroleum lubricating oils and greases, made from refined petroleum
324191SM Secondary products and miscellaneous receipts
3241910111 Lubricating oils (including hydraulic fluids, quenching and cutting oils, transformer oils, liquid rust preventives, etc.), made from refined petroleum
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