Baltic Dry fell to 1,489 Index Points on June 30, 2025, down 2.10% from the previous day. Over the past month, Baltic Dry's price has risen 4.71%, but it is still 31.00% lower than a year ago, 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 July of 2025.

As of September 30, 2024, the Baltic Dry Index amounted to 2,065 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 504. 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.

The market is experiencing significant growth, driven primarily by the increasing demand for LNG tanker transportation. This trend is a response to the global shift towards cleaner energy sources and the expanding LNG trade routes. Another key factor influencing the market is the advances in propulsion systems for tankers, which are improving operational efficiency and reducing environmental impact. However, the market is not without challenges. The fluctuation in the Baltic Dry Index (BDI) poses a significant obstacle, as it reflects the volatility in freight rates for major dry bulk commodities, including chemicals.
This uncertainty can impact the profitability of chemical tanker operators and may require strategic planning and adaptability to mitigate potential risks. Companies in the market must stay informed of these dynamics to effectively capitalize on opportunities and navigate challenges in the evolving chemical tanker landscape.

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

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, shaped by dynamic market conditions and shifting industry trends. Deadweight tonnage (DWT) and fleet management play a crucial role in optimizing operations and maximizing efficiency for chemical tanker owners and operators. Voyage charter agreements, a significant aspect of tanker operations, are influenced by various factors such as freight rates in the spot market and environmental regulations. Sustainable shipping practices, including the adoption of green shipping technologies, are increasingly prioritized. Inert gas systems, emissions reduction measures, and ballast water management are essential components of eco-friendly tanker design. Navigation systems and crew training are integral to ensuring safe and efficient voyages.

Maritime insurance, a critical aspect of tanker operations, covers various risks, including oil spills and maritime security threats. Tanker recycling is another area of focus, with a growing emphasis on sustainable practices and adherence to international regulations. Fuel efficiency is a continuous concern, with LNG fuel and other alternative energy sources gaining popularity. Cargo management, from handling to insurance, is an essential aspect of tanker operations, requiring advanced cargo pumps and safety equipment. Flag state regulations and port state control play a significant role in ensuring compliance with international maritime standards. Tanker pools and time charters offer flexibility in managing fleet capacity and optimizing revenue.

Anti-piracy measures and fire fighting systems are essential safety features for tanker vessels. Big data and advanced analytics are transforming tanker operations, from voyage planning to maintenance and fleet management. Continuous innovation and adaptation are essential to staying competitive in the ever-evolving the market.

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.

Product

  Organic chemicals
  Vegetable fats and oils
  Inorganic chemicals
  Others


Type

  Inland
  Coastal
  Deep sea


Vessel Orientation

  IMO 3
  IMO 2
  IMO 1


Geography

  North America

    US


  Europe

    France
    Germany
    Spain
    The Netherlands


  APAC

    Australia
    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Product Insights

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

The market is characterized by the implementation of advanced technologies and regulations to ensure safe and efficient transportation of chemicals. Voyage planning and navigation systems play a crucial role in optimizing routes and reducing fuel consumption. Inert gas systems and fire fighting systems are essential safety features in chemical tankers, while crew training and maritime security measures ensure the safety of personnel and cargo. IMO regulations mandate double hulls and strict emissions reduction measures, including the use of LNG fuel and ballast water management systems. Cargo management systems help monitor and control the temperature and pressure of chemicals during transportation.

Tank cleaning and anti-piracy measures are also essential to maintain the integrity of the cargo and protect against potential threats. Tanker design and fleet management are key areas of focu

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 decreased 874.22 Points or 35.53% since the beginning of 2025, 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