Product intelligence · HS 845110 · 2024 data

Dry-cleaning machines

Global exports of dry-cleaning machines totalled $52,553,488 in 2024, a -4.2% change from the previous year. Traded by 119 countries across 1,189 bilateral corridors, with demand from 182 importing markets. The long-term trend is growing.

Data: OECD BIMTS · Coverage: 19952024 · Updated: 2026-07-17

Global trade

$52.6M

-4.2% YoY

3Y / 5Y CAGR

+4.1%

5Y: -5.9%

Supply structure

Concentrated

HHI 0.298

Volatility

Low

Score 8/100

1.

Market movement

In 2024, dry-cleaning machines trade exhibited slight decline, with global flows reaching $52,553,488 and a three-year compound annual growth rate of +4.1% (five-year: -5.9%). The all-time peak of $175,772,819 was recorded in 2008; the current level is 70% below that high-water mark.

Over the 30-year observation window (19952024), 38% of years recorded positive growth, indicating significant cyclicality with frequent contractions. Trend momentum is strengthening (+11.2% acceleration).

The World Trade Flows Characterization classifies dry-cleaning machines as "One-way trade" in the medium price range price segment, providing additional context for market positioning and competitive dynamics.

2.

Supply & demand structure

The supply side is concentrated (Herfindahl-Hirschman Index 0.298). The three largest exporters — Italy ($28.7M), China ($7.5M), and United States ($6.7M) — collectively dominate supply flows. The leading exporter has grown at +7.0% over the last three years.

On the demand side, importer concentration is diversified (HHI 0.047). The three largest import markets are United States ($8.4M), Germany ($3.5M), and United Kingdom ($2.9M). The largest importing market sources from 17 different supplying countries.

Estimated substitution elasticity: -9.37. Buyers are highly price-sensitive and can switch between suppliers relatively easily.

The dominant trade corridor is Italy → United States at $7.5M, representing 88.6% of the importer's total demand.

3.

Risk profile & trade outlook

The volatility score for dry-cleaning machines is 8 out of 100, classified as low. Trade flows are relatively stable compared to other HS6 products, suggesting mature supply chains and predictable demand.

For market entrants, contracting demand signals caution before committing resources. The concentrated supply structure suggests high barriers but also potential opportunity if dominant suppliers face disruption or capacity constraints.

Data confidence is rated "High" based on reporting coverage and consistency across OECD member and partner countries.

Historical evidence

Annual trade value 19952024

Peak: $175,772,819 in 2008. Currently 70% below peak.

YearGlobal trade (USD)YoY growth
2015$100,917,086-8.3%
2016$92,349,003-8.5%
2017$94,595,410+2.4%
2018$95,799,618+1.3%
2019$71,327,663-25.5%
2020$57,078,823-20.0%
2021$46,642,565-18.3%
2022$63,012,962+35.1%
2023$54,834,208-13.0%
2024$52,553,488-4.2%

Top exporting countries

Ranked by export value of dry-cleaning machines in 2024.

View all 119 exporters →

Top importing markets

Largest import destinations for dry-cleaning machines.

View all 182 markets →

Leading trade corridors

Largest bilateral export flows for dry-cleaning machines, ranked by value. Click any country to view its full profile.

#ExporterImporterValue 20243Y CAGR
1ItalyUnited States$7.5M+2.9%
2PortugalBangladesh$2.7M
3ItalyUnited Kingdom$2.5M+106.2%
4ItalyEgypt$1.9M+184.6%
5United StatesBangladesh$1.8M+104.7%
6ItalyFrance$1.7M-4.3%
7TürkiyeUnited Kingdom$1.7M+52.4%
8MexicoIndonesia$1.2M

Showing top 8 of 10 corridors with available data for 2024.

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Sources, definitions & methodology

Data source

OECD Bilateral International Merchandise Trade Statistics (BIMTS). Aggregated from 312M+ reported trade records across 200+ countries and 5,300+ HS6 product codes. Coverage: 19952024.

Key indicators

HHI (Herfindahl-Hirschman Index): market concentration, 0 = fully diversified, 1 = single player. CAGR: compound annual growth rate over a stated period. Volatility score: trade value variability, 0–100 scale.

How this page is made

All statistical content on this page is data-driven, composed programmatically from live OECD trade records. No generic AI-generated prose is used. Analytical paragraphs combine real data points with factual interpretation. This page was last refreshed on 2026-07-17.