Bearings Import Data Analysis in 2025 - Tendata

tendata blogImport News

ten data blog2026-05-13

Key Points

· Bearings are primarily classified under HS Code 8482, covering ball and roller bearings.

· China leads global exports in both volume and value, while Germany and the U.S. dominate the high-end segment.

· Mexico and Brazil are the largest import markets, driven by manufacturing demand.

· The global bearings market is projected to grow steadily at a CAGR of nearly 9%.

· Tendata’s bearings import data reveals over 13,000 suppliers and 10,000 buyers worldwide.


bearings import data, bearings import, bearing import


Overview

The global bearings market continues to expand alongside industrial automation, automotive production, and renewable energy development. Leveraging comprehensive bearings import data, this analysis explores key trade patterns, major supplying and importing countries, and evolving market dynamics in 2025. Insights are primarily derived from the Tendata platform, which provides detailed global trade intelligence.


By examining bearings import data, businesses can better understand supply chain structures, pricing differences, and emerging opportunities across regions.


1. Core HS Code Classification

Bearings fall primarily under HS Heading 8482 (Ball or roller bearings). The most relevant HS codes identified from the 2025 trade data are:

HS CodeDescriptionTrade CountValue Share
84821000Ball bearings21,6178.96%
84829900Parts of ball/roller bearings3,5494.68%
84822000Tapered roller bearings13,6832.97%
84821099Other ball bearings1,4772.08%
84828000Combined ball/roller bearings3,4371.49%
84825000Cylindrical roller bearings2,0491.48%


Related codes (bearing housings, pillow blocks, plain shaft bearings):

84832000 / 84832001 — Bearing housings with ball/roller bearings

84833004 / 84833010 / 84833080 / 84833090 — Plain shaft bearings & bearing housings


2. Main Countries of Origin (Top 10 by Import Value)

RankOrigin CountryTrade CountValue (USD)Value ShareUnit Price (by weight)
1China45,617$119.5M34.51%$4.99/kg
2United States9,948$57.7M16.68%$7.90/kg
3Germany11,110$33.7M9.73%$12.79/kg
4Japan21,218$21.4M6.17%$4.80/kg
5Argentina444$9.7M2.80%$132.77/kg
6Singapore684$9.4M2.70%$15.16/kg
7South Korea5,463$8.8M2.53%$2.95/kg
8India6,071$8.4M2.43%$3.17/kg
9Vietnam1,970$7.7M2.23%$27.03/kg
10Italy4,621$5.5M1.60%$8.86/kg


Key insight: China dominates both in trade volume (31.8% of all shipments) and value (34.5%). Germany and the US command significantly higher unit prices ($12.79/kg and $7.90/kg respectively) vs. China ($4.99/kg), reflecting a premium positioning in high-precision/specialty bearings.


3. Top 10 Importers Globally (by Import Value, 2025)

RankDestination CountryTrade CountValue (USD)Value Share
1Mexico12,176$87.1M25.16%
2Brazil5,242$81.3M23.49%
3Vietnam38,609$42.9M12.40%
4Ukraine48,606$42.8M12.37%
5India9,088$25.9M7.48%
6Chile4,503$19.1M5.51%
7Russia789$13.2M3.82%
8Bangladesh2,616$5.1M1.48%
9Peru8,456$4.5M1.31%
10Iran89$4.0M1.14%


Key insight: Mexico and Brazil together account for nearly 49% of total import value in this dataset, driven largely by automotive and industrial manufacturing demand. Vietnam and Ukraine show very high shipment counts but lower per-shipment values, indicating high-volume, lower-unit-price imports.


4. Market Context & Trends

·  Global bearings market size was valued at approximately USD 58.6–150.3 billion in 2024 (estimates vary by scope), projected to reach USD 143.6–188.5 billion by 2032–2034, growing at a CAGR of ~8.7–9%.


·  Top global importers by total goods (all products, not just bearings): United States ($2.54–3.3T), China ($2.43T), Germany, Japan, UK, France, Netherlands, South Korea, Italy, India.


·  Best import markets for bearings specifically (by annual value): Germany ($3.6B), China ($3.1B), United States ($2.5B), Mexico ($1.2B), France ($1.1B).


5. Additional Data Available

The platform data also includes:

DimensionWhat's Available
Top Suppliers13,708 suppliers identified — top names include SKF (Argentina/Mexico), NSK (Japan/India), NTN Corporation, Minebea, Schaeffler/FAG
Top Buyers10,773 buyers identified — top names include SKF de Mexico, Vestas WTG Mexico, Truper, NSK India, Finning Chile, Schaeffler Mexico, ZF Chassis Modules
Monthly TrendsFull 12-month breakdown (Jan–Dec 2025) with trade count, value, quantity, and weight per month
Product Descriptions61,633 distinct product descriptions — from generic "bearings" to detailed specs (e.g., "radial ball bearings," "tapered roller bearings," "bearing housings")
Geographic Coverage97 origin countries, 63 destination countries


Summary

In 2025, bearings import data reveals a highly dynamic and globally interconnected market. China dominates supply, while developed economies lead in high-value products. Import demand is concentrated in manufacturing-driven economies such as Mexico and Brazil.


By leveraging platforms like Tendata, businesses can access detailed bearings import data to identify trends, benchmark competitors, and optimize sourcing strategies in a rapidly evolving market.


FAQ

Q1: What is bearings import data and why is it important?

Bearings import data refers to detailed records of international trade involving bearings, including shipment volumes, values, suppliers, and buyers. It helps businesses understand market demand, competition, and pricing trends.


Q2: Which country exports the most bearings?

China is the largest exporter according to bearings import data, leading in both shipment volume and total value.


Q3: Why do Germany and the U.S. have higher unit prices?

Their bearings are typically higher precision and used in specialized industries, which increases their value per kilogram.


Q4: What are the best markets to sell bearings?

Mexico, Brazil, Germany, and the United States are among the top markets based on bearings import data and overall industrial demand.


Q5: How can Tendata help in analyzing bearings trade?

Tendata provides comprehensive bearings import data, including supplier networks, buyer insights, pricing trends, and monthly trade flows, enabling businesses to make data-driven decisions.

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