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An automated tank cleaning machine is a machine used to clean cargo, process, underground storage tanks and similar equipment such as those found in tank trucks, railroad cars, oil tankers and etc. Tank cleaning by means of automated machines is often named "Butterworthing". Arthur Butterworth, in 1920, patented the first Automated Tank Cleaning Machine and in 1925 the company was established to produce and market this product. Nowadays there are several manufacturers of tank cleaning machines.
Scope of the Report:
This report focuses on the Automated Oil Tank Cleaning System in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.
The usable tank capacity is reduced by the volume of sludge. The tank operator needs then to clean the tank in order to re-establish its full capacity. In addition to this, national inspection regulations require a leak test every five or 10 years (double floor). To perform this inspection, the tank needs to be completely drained and cleaned. Repair work is often performed on this occasion. The petrochemical industry and tank terminals are increasingly choosing the option of automated rather than manual tank cleaning.
One trend in the market is increasing market for tank cleaning systems as a service. Automated oil tank cleaning systems that not only clean the tank from inside but also extract hydrocarbons from the sludge have high upfront costs.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
United States will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Automated Oil Tank Cleaning System.
The worldwide market for Automated Oil Tank Cleaning System is expected to grow at a CAGR of roughly 3.8% over the next five years, will reach 370 million US$ in 2023, from 290 million US$ in 2017, according to a new GIR (Global Info Research) study.
Market Segment by Manufacturers, this report covers
- Alfa Laval
- Scanjet Group
- Tradebe Refinery Services
- ARKOIL Technologies
- Veolia Environnement
- Jereh Group
- Schafer & Urbach
- KMT International
- China Oil HBP
Market Segment by Regions, regional analysis covers
- North America (United States, Canada and Mexico)
- Europe (Germany, France, UK, Russia and Italy)
- Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
- South America (Brazil, Argentina, Colombia etc.)
- Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
Market Segment by Applications, can be divided into
There are 15 Chapters to deeply display the global Automated Oil Tank Cleaning System market.
Chapter 1, to describe Automated Oil Tank Cleaning System Introduction, product scope, market overview, market opportunities, market risk, market driving force;
Chapter 2, to analyze the top manufacturers of Automated Oil Tank Cleaning System, with sales, revenue, and price of Automated Oil Tank Cleaning System, in 2016 and 2017;
Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;
Chapter 4, to show the global market by regions, with sales, revenue and market share of Automated Oil Tank Cleaning System, for each region, from 2013 to 2018;
Chapter 5, 6, 7, 8 and 9, to analyze the market by countries, by type, by application and by manufacturers, with sales, revenue and market share by key countries in these regions;
Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2013 to 2018;
Chapter 12, Automated Oil Tank Cleaning System market forecast, by regions, type and application, with sales and revenue, from 2018 to 2023;
Chapter 13, 14 and 15, to describe Automated Oil Tank Cleaning System sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source