Product intelligence · HS 811213 · 2024 data

Beryllium: waste and scrap

Global exports of beryllium: waste and scrap totalled $788,969 in 2024, a -1.7% change from the previous year. Traded by 26 countries across 33 bilateral corridors, with demand from 16 importing markets. The long-term trend is stable.

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

Global trade

$789.0K

-1.7% YoY

3Y / 5Y CAGR

+0.5%

5Y: +2.6%

Supply structure

Concentrated

HHI 0.500

Volatility

Low

Score 31/100

1.

Market movement

In 2024, beryllium: waste and scrap trade exhibited slight decline, with global flows reaching $788,969 and a three-year compound annual growth rate of +0.5% (five-year: +2.6%). The all-time peak of $3,117,686 was recorded in 2006; the current level is 75% below that high-water mark.

Over the 30-year observation window (19952024), 55% of years recorded positive growth, indicating a mildly upward trajectory with periodic contractions. Trend momentum is steady (-0.8% acceleration).

2.

Supply & demand structure

The supply side is concentrated (Herfindahl-Hirschman Index 0.500). The three largest exporters — United States ($2.1M), Sweden ($1.3M), and Saudi Arabia ($904.2K) — collectively dominate supply flows. The leading exporter has grown at +43.3% over the last three years.

On the demand side, importer concentration is concentrated (HHI 0.499). The three largest import markets are Canada ($536.4K), Indonesia ($317.1K), and France ($316.9K). The largest importing market sources from 1 different supplying countries.

Estimated substitution elasticity: -63.73. Buyers are highly price-sensitive and can switch between suppliers relatively easily.

The dominant trade corridor is Sweden → United States at $1.2M, representing 84.1% of the importer's total demand.

3.

Risk profile & trade outlook

The volatility score for beryllium: waste and scrap is 31 out of 100, classified as low. Trade flows are moderately variable, typical for goods with seasonal or cyclical demand patterns.

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 "Medium" based on reporting coverage and consistency across OECD member and partner countries.

Historical evidence

Annual trade value 19952024

Peak: $3,117,686 in 2006. Currently 75% below peak.

YearGlobal trade (USD)YoY growth
2015$697,495+1.1%
2016$358,938-48.5%
2017$1,357,568+278.2%
2018$541,884-60.1%
2019$695,511+28.4%
2020$473,124-32.0%
2021$776,351+64.1%
2022$1,467,429+89.0%
2023$802,939-45.3%
2024$788,969-1.7%

Top exporting countries

Ranked by export value of beryllium: waste and scrap in 2024.

View all 26 exporters →

Top importing markets

Largest import destinations for beryllium: waste and scrap.

View all 16 markets →

Leading trade corridors

Largest bilateral export flows for beryllium: waste and scrap, ranked by value. Click any country to view its full profile.

#ExporterImporterValue 20243Y CAGR
1SwedenUnited States$1.2M
2United StatesIndia$859.2K+264.2%
3KazakhstanUnited States$765.0K+59.2%
4United StatesCanada$536.4K+45.0%
5IndonesiaNetherlands$498.0K
6South KoreaHong Kong$490.5K
7NetherlandsUnited States$371.5K+231.9%
8Saudi ArabiaIndonesia$317.1K

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.