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Overview This page contains the latest trade data of Dry-cleaning machines. In 2022, Dry-cleaning machines were the world's 4246th most traded product, with a total trade of $71.9M. Between 2021 and 2022 the exports of Dry-cleaning machines grew by 23.6%, from $58.2M to $71.9M. Trade in Dry-cleaning machines represent 0.0003% of total world trade.

Dry-cleaning machines are a part of Textile Processing Machines.

Exports In 2022 the top exporters of Dry-cleaning machines  were Italy ($31.3M), China ($7.2M), United States ($5.95M), Germany ($5.34M), and Turkey ($3.87M).

Imports In 2022 the top importers of Dry-cleaning machines were United States ($14.4M), Bangladesh ($5.47M), France ($4.19M), United Kingdom ($3.76M), and Germany ($3.22M).

Ranking Dry-cleaning machines ranks 3090th in the Product Complexity Index (PCI).

Description Dry-cleaning machines are used to remove oils, dirt, and stains from clothing.

Latest Data

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The following visualization shows the latest trends on Dry-cleaning machines. Countries are shown based on data availability.

For a full breakdown of trade patterns, visit the trend explorer or the product in country profile.

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* Trade values are converted to USD using each month's exchange rate. For December 2023 data, the exchange rate from December 30, 2023 is used.

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Historical Data

Exporters and Importers

Top Origin (2022)Italy$31.3M
Top Destination (2022)United States$14.4M

In 2022 Dry-cleaning machines were the world's 4246th most traded product (out of 4,648).

In 2022, the top exporters of Dry-cleaning machines were Italy ($31.3M), China ($7.2M), United States ($5.95M), Germany ($5.34M), and Turkey ($3.87M).

In 2022, the top importers of Dry-cleaning machines were United States ($14.4M), Bangladesh ($5.47M), France ($4.19M), United Kingdom ($3.76M), and Germany ($3.22M).

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Exporters of Dry-cleaning machines (2022)
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Importers of Dry-cleaning machines (2022)
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Market Dynamics

Color
Top Origin Growth (2021 -  2022)Italy$6.67M
Top Destination Growth (2021 -  2022)United States$5.35M

Between 2021 and 2022, the exports of Dry-cleaning machines grew the fastest in Italy ($6.67M), Portugal ($2.72M), Turkey ($1.93M), China ($1.1M), and Germany ($1.06M).

Between 2021 and 2022, the fastest growing importers of Dry-cleaning machines were United States ($5.35M), Bangladesh ($4.94M), Indonesia ($2.29M), Qatar ($902k), and France ($797k).

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Exporters of Dry-cleaning machines (2021 - 2022)

Importers of Dry-cleaning machines (2021 - 2022)

Market Concentration

Value

This chart shows the evolution of the market concentration of exports of Dry-cleaning machines.

In 2022, market concentration measured using Shannon Entropy, was 3.24. This means that most of the exports of Dry-cleaning machines are explained by 9 countries.

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Value of Exports in Dry-cleaning machines

Net Trade

TOP NET EXPORTER (2022)Italy$30.2M
TOP NET IMPORTER (2022)United States$8.45M

This map shows which countries export or import more of Dry-cleaning machines. Each country is colored based on the difference in exports and imports of Dry-cleaning machines during 2022.

In 2022, the countries that had a largest trade value in exports than in imports of Dry-cleaning machines were Italy ($30.2M), China ($5.04M), Portugal ($3M), Turkey ($2.82M), and Germany ($2.12M).

In 2022, the countries that had a largest trade value in imports than in exports of Dry-cleaning machines were United States ($8.45M), United Kingdom ($3.18M), Indonesia ($2.47M), France ($2.1M), and India ($1.74M).

Net Trade (2022)

Country Comparison

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Ranking

This visualization shows the countries that have an important ratio of their trade related to Dry-cleaning machines.
It is possible to select the main countries that export or import Dry-cleaning machines in the world, or by continent, as well as select the measure of interest.

Top 10 Exporters Countries of Dry-cleaning machines by percentage of total exports

Product Complexity

Diversification Frontier

Specialization

The Complexity-Relatedness diagram compares the risk and the strategic value of a product's potential export opportunities. Relatedness is predictive of the probability that a country increases its exports in a product. Complexity, is associated with higher levels of income, economic growth potential, lower income inequality, and lower emissions.

Relatedness vs Country Complexity (2022)

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