Product intelligence · HS 441990 · 2024 data

Tableware and kitchenware, of wood: not of bamboo

Global exports of tableware and kitchenware, of wood: not of bamboo totalled $1,256,994,706 in 2024, a +6.0% change from the previous year. Traded by 178 countries across 5,722 bilateral corridors, with demand from 199 importing markets. The long-term trend is stable.

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

Global trade

$1.3B

+6.0% YoY

3Y / 5Y CAGR

-0.4%

5Y: +8.4%

Supply structure

Concentrated

HHI 0.270

Volatility

Low

Score 7/100

1.

Market movement

In 2024, tableware and kitchenware, of wood: not of bamboo trade exhibited strong growth, with global flows reaching $1,256,994,706 and a three-year compound annual growth rate of -0.4% (five-year: +8.4%). The all-time peak of $1,388,695,341 was recorded in 2022; the current level is 9% below that high-water mark.

Over the 30-year observation window (19952024), 83% of years recorded positive growth, indicating a predominantly expanding market. Trend momentum is decelerating (-8.1% acceleration).

2.

Supply & demand structure

The supply side is concentrated (Herfindahl-Hirschman Index 0.270). The three largest exporters — China ($629.2M), India ($122.7M), and Vietnam ($83.6M) — collectively dominate supply flows. The leading exporter has grown at +0.9% over the last three years.

On the demand side, importer concentration is diversified (HHI 0.080). The three largest import markets are United States ($279.5M), Japan ($132.5M), and Germany ($86.6M). The largest importing market sources from 103 different supplying countries.

The dominant trade corridor is China → United States at $137.4M, representing 49.2% of the importer's total demand.

3.

Risk profile & trade outlook

The volatility score for tableware and kitchenware, of wood: not of bamboo is 7 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, strong demand tailwinds create a favourable entry environment. 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: $1,388,695,341 in 2022. Currently 9% below peak.

YearGlobal trade (USD)YoY growth
2015$635,503,402+6.4%
2016$672,713,986+5.9%
2017$742,477,014+10.4%
2018$805,951,182+8.5%
2019$839,907,241+4.2%
2020$870,952,565+3.7%
2021$1,272,914,013+46.2%
2022$1,388,695,341+9.1%
2023$1,185,547,219-14.6%
2024$1,256,994,706+6.0%

Top exporting countries

Ranked by export value of tableware and kitchenware, of wood: not of bamboo in 2024.

View all 178 exporters →

Top importing markets

Largest import destinations for tableware and kitchenware, of wood: not of bamboo.

View all 199 markets →

Leading trade corridors

Largest bilateral export flows for tableware and kitchenware, of wood: not of bamboo, ranked by value. Click any country to view its full profile.

#ExporterImporterValue 20243Y CAGR
1ChinaUnited States$137.4M+0.1%
2ChinaJapan$88.5M-0.1%
3IndiaUnited States$72.4M-0.9%
4ChinaUnited Kingdom$40.1M+1.4%
5ChinaGermany$37.1M-4.8%
6ChinaAustralia$35.3M-7.1%
7VietnamJapan$28.2M+9.8%
8ChinaSouth Korea$26.2M-2.2%

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.