Baltic Dry fell to 2,024 Index Points on September 1, 2025, down 0.05% from the previous day. Over the past month, Baltic Dry's price has risen 2.74%, and is up 5.47% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Baltic Exchange Dry Index - values, historical data, forecasts and news - updated on September of 2025.

As of September 30, 2024, the Baltic Dry Index amounted to ***** points. This was higher than in the previous month, and higher than in May 2020, immediately after the outbreak of COVID-19, when the index stood at ***. The Baltic Dry Index is based on the current freight cost on various shipping routes and is considered a bellwether of the general shipping market.

The dataset contains returns data for Baltic Dry Index and commodity spot prices

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Chemical Tanker Market Size 2025-2029

The chemical tanker market size is forecast to increase by USD 11.58 billion, at a CAGR of 5.8% between 2024 and 2029.

Major Market Trends & Insights

APAC dominated the market and accounted for a 43% growth during the forecast period.
By the Product - Organic chemicals segment was valued at USD 12.22 billion in 2023
By the Type - Inland segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 63.98 billion
Market Future Opportunities: USD USD 11.58 billion 
CAGR : 5.8%
APAC: Largest market in 2023

Market Summary

The market is a significant player in the global maritime transportation sector, handling the transportation of a diverse range of chemicals and liquids. According to recent reports, the market's growth is driven by the increasing demand for chemicals in various industries, such as pharmaceuticals, agriculture, and food and beverages. The market's size was valued at over USD100 billion in 2020, representing a substantial share of the global maritime transportation industry. Moreover, advances in propulsion systems, including the adoption of liquefied natural gas (LNG) as a fuel source, have led to increased efficiency and reduced emissions in chemical tanker operations. This shift towards cleaner and more sustainable energy sources is a notable trend in the market. The Baltic Dry Index (BDI), an essential indicator of the demand for dry bulk carriers, has experienced fluctuations in recent years, impacting the market to some extent. However, the demand for chemical tankers remains robust, with ongoing investments in infrastructure and expanding trade routes contributing to market growth. Despite these positive trends, challenges persist, including regulatory compliance, safety concerns, and the need for continuous innovation to meet evolving customer demands. Nevertheless, the market continues to evolve, offering opportunities for growth and development in the dynamic world of maritime transportation.

What will be the Size of the Chemical Tanker Market during the forecast period?

Explore market size, adoption trends, and growth potential for chemical tanker market Request Free SampleThe market is a dynamic and complex industry, characterized by ongoing advancements in technology and regulatory compliance. Tanker fleet operators continually prioritize efficiency and safety to remain competitive. For instance, tank cleaning efficiency has improved by 20% through the implementation of advanced technologies and methods. In contrast, accident investigation methods have seen a significant reduction in response time by 30%, thanks to the adoption of digital tools and streamlined processes. These enhancements not only contribute to operational excellence but also help mitigate risks associated with the transportation of hazardous chemicals. Furthermore, fleet management software, safety management systems, and fuel efficiency improvement initiatives are crucial components of a modern tanker operator's strategy. Additionally, regulatory compliance, such as IMO regulations and maritime cybersecurity, plays a vital role in maintaining a competitive edge while ensuring environmental stewardship.

How is this Chemical Tanker Industry segmented?

The chemical tanker industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ProductOrganic chemicalsVegetable fats and oilsInorganic chemicalsOthersTypeInlandCoastalDeep seaVessel OrientationIMO 3IMO 2IMO 1GeographyNorth AmericaUSEuropeFranceGermanySpainThe NetherlandsAPACAustraliaChinaIndiaJapanSouth KoreaRest of World (ROW)

By Product Insights

The organic chemicals segment is estimated to witness significant growth during the forecast period.

The market is a critical sector in the global logistics industry, driven by the continuous demand for bulk liquid transportation. In 2024, the organic chemicals segment dominated the market, accounting for over 60% of the total share. This growth is attributed to the increasing production and demand for pharmaceuticals, fertilizers, pesticides, food and beverages, personal care products, polymers, water treatment, and other organic chemicals. Advanced technologies, such as ballast water treatment, tanker stability calculations, and vapor emission control, are increasingly being adopted to ensure tanker safety and prevent marine pollution. Moreover, the market is witnessing significant investments in vessel tracking technology, hydraulic systems maintenance, inert gas systems, cargo tank cleaning, tank coating materials, and cargo documentation procedures. These innovations aim to enhance operational efficiency, reduce maintenance costs,

Dataset Information

This dataset includes daily price data for various commodities.

  Instruments Included

BDIY: Baltic Dry Index BEEF: Beef (dollars per pound) BIT: Bitumen (dollars per metric ton) C1: Corn (dollars per bushel) CC1: Cocoa (dollars per metric ton) CHE: Cheese (dollars per pound) CL1: Crude Oil (dollars per barrel) CO1: Brent Crude Oil (dollars per barrel) CRYTR: CRB Index CT1: Cotton (cents per pound) DA: Milk (dollars per hundredweight) DL1: Ethanol… See the full description on the dataset page: https://huggingface.co/datasets/paperswithbacktest/Commodities-Daily-Price.

Containerized Freight Index traded flat at 1,415.36 Points on August 26, 2025. Over the past month, Containerized Freight Index's price has fallen 11.13%, and is down 54.31% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Containerized Freight Index.

Fecundity of marine fish species is highly variable, but trade-offs between fecundity and egg quality have rarely been observed at the individual level. We investigated spatial differences in reproductive investment of individual European sprat Sprattus sprattus (Linnaeus 1758) females by determining batch fecundity, condition indices (somatic condition index and gonadosomatic index) as well as oocyte dry weight, protein content, lipid content, spawning batch energy content, and fatty acid composition. Sampling was conducted in five different spawning areas within the Baltic Sea between March and May 2012. Sampling was conducted in the Baltic Sea during three cruises of the German RV “Alkor” in March (https://www2.bsh.de/aktdat/dod/fahrtergebnis/2012/20120331.htm), April (http://dx.doi.org/10.3289/CR_AL390), and May (http://dx.doi.org/10.3289/CR_AL392) 2012. Five different areas were sampled: KB, AB, Bornholm Basin (BB), Gdansk Deep (GD), and Gotland Basin (GB). Fish were caught with a pelagic trawl. Trawling time was in general 30 minutes per haul. The total lengths (TL, ±0.1 cm) of at least 200 sprat per haul were measured for length frequency analysis. Only female sprat with ovaries containing fully hydrated oocytes were sampled, running ripe females were rejected to avoid possible loss of oocytes, as this would lead to an underestimation of batch fecundity. Sprat were sampled immediately after the haul was on deck and stored on crushed ice. The sampled fish were weighed (wet mass WM, ±0.1 g) and measured (TL, ±0.1 cm), and their ovaries were dissected carefully. Oocytes were extracted from a single ovary lobe, rinsed with deionized water, and counted under a stereo microscope (Leica MZ 8). A counted number of oocytes (around 50 oocytes per fish) were transferred to pre-weighed tin-caps (8 x 8 x 15 mm). These samples were used to determine the oocyte dry weight, lipid content, and fatty acid composition. In addition, a counted number of oocytes (around 10 oocytes per fish) were sampled in Eppendorf caps for determination of protein content. Oocyte samples were stored at -80 °C for subsequent fatty acid and protein analysis in the laboratory. Finally, both ovary lobes were stored in 4% buffered formaldehyde solution for further fecundity analysis. Ovary free body mass (OFBM, ±0.1 g) of sampled frozen fish and fixed ovary mass (OM, ±0.1 g) were measured (Sartorius, 0.01 g) in the laboratory on land, to avoid imprecise measurements due to the ship's motion at sea. Absolute batch fecundity (ABF) was determined gravimetrically using the hydrated oocyte method suggested by Hunter et al. (1985) for indeterminate batch spawners. For ascertainment of the relative batch fecundity per unit body weight (RBF), ABF was divided by OFBM. Further, a condition index (CI) was determined: CI = (OFBM/〖TL〗^3 )× 100. A gonadosomatic index (GSI) was calculated with the following formula: GSI = (OM/OFBM)× 100. Oocyte dry weight was determined to the nearest 0.1 µg (Sartorius SC 2 micro-scale), using the samples stored in pre-weighed tin caps, after freeze-drying (Christ Alpha 1-4) for at least 24 hours. After subtracting the weight of the empty tin cap, the average oocyte dry mass (ODM) was then calculated by dividing the total weight by the number of oocytes contained in the tin cap. The fatty acid signature of oocytes was determined by gas chromatography (GC). Lipid extraction of the dried oocytes was performed using a 1:1:1 solvent mix of dichloromethane:methanol:chloroform. A five component fatty acid methyl ester Mix (13:0 - 21:0, Restek, Bad Homburg, Germany; c = 8.5 ng component µl-1) was added as an internal standard and a 23:0 fatty acid standard (Restek, Bad Homburg, Germany, c = 25.1 ng µl-1) was added as an esterification efficiency control. Esterification was performed over night at 50 °C in 200 µl 1% H2SO4 and 100 µl toluene. The solvent phase was transferred to 100 µl n-hexane and a 1 µl aliquot measured in a Thermo Fisher Trace GC Ultra with a Thermo Fisher TRACETM TR-FAME column (10 m*0.1 mm*0.2 µm). For more details on sample preparation and GC settings, see Hauss et al. (2012). The total lipid content per oocyte was determined by adding up the weights of all detected fatty acids. To ensure comparability with past studies, results for FA are given as a percentage of the combined weights of all detected FA. An average of 10 oocytes were transferred to 5*9 mm tin cups (Hekatech) and dried at 50 °C for >24 h. Total organic carbon (C) and nitrogen (N) content was measured using a Thermo Fisher Scientific Elemental Analyzer Flash 2000. From the total amount of N in the sample, the oocyte protein content was calculated according to Kjeldahl (Bradstreet, 1954), using a factor of 6.25. The oocyte gross energy content was calculated on the basis of measured protein and lipid content, which were multiplied with corresponding energy values from literature. The measured amount of proteins per given oocyte (P, mg) was multiplied by a factor of 23.66 J mg-1 and was added to the total amount of lipids per oocyte (L, mg) multiplied by 39.57 J mg-1 (Henken et al. 1986). Consequently, the oocyte energy content of each individual female sprat was multiplied by its relative batch fecundity in order to obtain a standardized estimate of the total amount of energy invested into a single spawning batch (SBEC, J g-1 OFBM): SBEC = [(P × 23.66 (J )/mg)+(L × 39.57 (J )/mg)]× RBF