China-US Freight Rates Remain Stable Amid Tariff Policy Changes

China-US freight rates have stabilized in the second half of 2025 after years of sharp swings. Key drivers of rate stability include rebounding US consumer demand, stable fuel prices, and improved port operations. GortoFreight expects this trend to continue for the remainder of the year, with businesses able to select from various shipping options, including sea freight, air freight, and express DDP services. DDP shipping from China to the US is particularly popular among e-commerce businesses and SMEs who value transparent, door-to-door pricing.

China-US freight rates have shown signs of stabilization in the second half of 2025, following years of significant fluctuations. According to GortoFreight, a leading freight forwarding company, container shipping rates on this route have stabilized after several years of volatility [1].

Key drivers of this rate stability include a rebound in U.S. consumer demand, stable fuel prices, and improved port operations. The increased demand for electronics, textiles, and industrial components has supported a consistent flow of shipments from China [1]. Additionally, stable fuel prices and a more predictable cost structure for carriers have contributed to the stabilization [1]. Port operators in both China and the U.S. have also shortened turnaround times and reduced delays, contributing to smoother and more reliable shipment flows [1].

GortoFreight expects this trend of stability to continue for the remainder of 2025, with seasonal peaks potentially causing short-term fluctuations [1]. Businesses importing from China to the U.S. can select from various freight solutions, including sea freight, air freight, and express DDP (Delivered Duty Paid) services. Sea freight remains the most economical choice, while air freight is preferred for high-value or time-sensitive shipments [1]. DDP shipping, where the seller or freight forwarder covers transportation, customs clearance, duties, and delivery costs, is particularly popular among e-commerce businesses and SMEs who value transparent, door-to-door pricing [1].

ZIM Integrated Shipping Services Ltd, another significant player in the freight industry, reported a 15% year-over-year decline in Q2 revenue to $1.64 billion, primarily due to lower freight rates and volumes [2]. The company attributed this decline to a 12% year-over-year decrease in average freight rates per TEU and a 6% year-over-year decrease in carried volume to 895 thousand TEUs [2]. Despite these challenges, ZIM remains focused on leveraging its fleet and cost structure for growth.

Freightos, a digital freight platform, has been capitalizing on global trade volatility by leveraging AI-driven tools, real-time data, and vendor-neutral platforms to address inefficiencies and opaque pricing. The company's Q2 2025 revenue rose by 31% to $7.4 million, with gross booking value reaching $1.25 billion, while EBITDA losses narrowed by 6% to $2.9 million [3]. Freightos' AI-powered procurement tools have reduced manual labor by 70%, enabling shippers to optimize routes and contracts during disruptions.

In conclusion, the stabilization of China-US freight rates in the second half of 2025 is driven by a combination of factors, including increased consumer demand, stable fuel prices, and improved port operations. Businesses have a variety of shipping options to choose from, with DDP shipping being particularly popular among e-commerce businesses and SMEs. While challenges persist, companies like ZIM and Freightos are leveraging technology and strategic levers to navigate the volatile freight market.

References:
[1] https://www.accessnewswire.com/newsroom/en/transportation/china-usa-freight-rates-steady-as-tariffs-ease-gortofreight-reports-1064269
[2] https://www.tradingview.com/news/reuters.com,2025:newsml_PLX992752:0-israel-based-zim-integrated-shipping-s-q2-revenue-misses-estimates-on-lower-freight-rates-volumes/
[3] https://www.ainvest.com/news/freightos-digital-freight-platform-poised-capitalize-global-trade-volatility-ai-driven-efficiency-2508/