Baltic Dry increased 637 points or 63.89% since the beginning of 2025, 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 March 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 2024-2028

The chemical tanker market size is forecast to increase by USD 10.56 billion at a CAGR of 5.54% between 2023 and 2028.

The market is experiencing significant growth due to several key trends. One of the primary drivers is the increasing demand for LNG tanker transportation and oil and gas transportation as more countries shift towards cleaner energy sources. Another trend influencing the market is the advancement in propulsion systems such as hybrid electric marine propulsion engines, leading to increased fuel efficiency and reduced emissions.
Additionally, fluctuations In the Baltic Dry Index (BDI) can impact the market, as it serves as a key indicator of the global economic health and demand for commodities. These factors contribute to the dynamic and evolving nature of the market.

What will be the Size of the Chemical Tanker Market During the Forecast Period?

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The market is a critical segment of the global shipping industry, focusing on the bulk liquid transport of a diverse range of chemicals. This market encompasses the operation of tanker ships specifically designed for chemical cargo, including those transporting hazardous materials. The market's dynamics are influenced by various factors, including cargo handling efficiency, tanker capacity utilization, and the strategic management of tanker routes. Tanker fleet size and maintenance schedules impact the overall supply and demand balance. Tanker loading and unloading processes are essential components of efficient chemical logistics, with safety and environmental considerations playing a significant role. Tanker inspections, certification, and management are crucial for ensuring regulatory compliance and maintaining the highest safety standards.
Chemical handling and storage equipment, as well as safety and emergency response systems, are integral components of the tanker market. Fuel management systems and environmental protection are increasingly important considerations, with growing emphasis on reducing emissions and minimizing the impact on the marine environment. Overall, the market is characterized by its dynamic nature, driven by the evolving needs of the chemical industry and the global economy.

How is this Chemical Tanker Industry segmented and which is the largest segment?

The chemical tanker industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Product

  Organic chemicals
  Vegetable fats and oils
  Inorganic chemicals
  Others


Type

  Inland
  Coastal
  Deep sea


Geography

  APAC

    China
    Singapore


  Middle East and Africa



  North America

    US


  South America



  Europe

    Norway

By Product Insights

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

The market experienced significant growth in 2023, with organic chemicals leading the segment due to their extensive usage in various industries such as pharmaceuticals, fertilizers, food and beverages, personal care products, and water treatment. The escalating demand for these chemicals is attributed to their versatility as essential raw materials. The shale gas boom in countries like China and the US has increased the availability of key raw materials, particularly ethylene, leading to enhanced manufacturing capabilities and a broader range of applications. Tanker ships play a crucial role In the shipping industry and LNG infrastructure, facilitating bulk liquid transport, including hazardous materials. Tanker vessels come in various types, including single-hull and double-hull designs, and their construction adheres to stringent safety protocols to ensure cargo containment during transportation.

Tanker fleets undergo regular inspections, certifications, and maintenance to ensure safe and efficient operations. Cargo handling, loading, and unloading processes are carried out using specialized chemical handling and safety equipment. Tanker vessels are equipped with advanced safety systems, including emergency response and spill prevention measures, navigation and communication systems, and fuel management and environmental protection features. Tanker operations and management involve a skilled crew, adherence to shipping regulations, and robust tanker monitoring systems.

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The organic chemicals segment was valued at USD 11.82 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 42% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained

Containerized Freight Index decreased 701.51 Points or 28.51% 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