Natural gas rose to 3.36 USD/MMBtu on July 11, 2025, up 0.58% from the previous day. Over the past month, Natural gas's price has fallen 3.89%, but it is still 44.10% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on July of 2025.

Gasoline Prices in China increased to 0.85 USD/Liter in June from 0.83 USD/Liter in May of 2025. This dataset provides the latest reported value for - China Gasoline Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Crude Oil rose to 68.75 USD/Bbl on July 11, 2025, up 3.27% from the previous day. Over the past month, Crude Oil's price has risen 1.04%, but it is still 16.37% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on July of 2025.

The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for the People's Republic of China. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports for the countries in the area of study. The geodatabase contains data feature classes from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facilities, (2) mineral exploration and development sites, (3) mineral occurrence sites and deposits, (4) undiscovered mineral resource tracts for antimony, copper, phosphate, and potash, (5) coal occurrence areas, (6) electric power generating facilities, (7) electric power transmission lines, (8) liquefied natural gas terminals, (9) undiscovered, technically recoverable conventional and continuous hydrocarbon resources (by USGS geologic province), (10) cumulative production and recoverable conventional resources (by province groups), and (11) major mineral exporting maritime ports.

The Morgantown Technology Center is a U.S. Department of Energy fossil fuel research center. It is responsible for conducting research and development to extract, convert, and utilize coal, oil, and gas in an environmentally acceptable manner. METC performs and supports high-risk, high-payoff research and development, research that the private sector will not perform because of the risk and long-term payback aspects. In doing so METC is developing a scientific and engineering knowledge base that can be used by the private sector to evaluate the technical and economic potential of the technologies investigated.

NCEI Accession 0081039 includes Surface underway, chemical, meteorological and physical data collected from OOCL Tianjin in the Channel Islands National Marine Sanctuary, East China Sea (Tung Hai), Japan Sea, North Pacific Ocean, Papahānaumokuākea Marine National Monument, Philippine Sea and South China Sea (Nan Hai) from 2008-09-19 to 2010-02-21. These data include AIR-SEA DIFFERENCE - PARTIAL PRESSURE (OR FUGACITY) OF CARBON DIOXIDE, BAROMETRIC PRESSURE, Partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Barometric pressure sensor, Carbon dioxide (CO2) gas analyzer, Shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement and thermosalinographs.

These data were collected by Richard A. Feely and Cathy Cosca of US DOC; NOAA; OAR; Pacific Marine Environmental Laboratory as part of the VOS_OOCL_Tianjin_Lines_Data data set. CDIAC associated the following cruise ID(s) with this data set: VOS OOCL Tianjin Lines

NCEI Accession 0157734 includes Surface underway, chemical, meteorological and physical data collected from unknown platforms in the Andaman Sea or Burma Sea, Arabian Sea, Bay of Bengal, Caribbean Sea, Indian Ocean, Laccadive Sea, Malacca Straits, Mozambique Channel, North Atlantic Ocean, North Pacific Ocean, Philippine Sea, Singapore Straits, South Atlantic Ocean, South China Sea (Nan Hai), South Pacific Ocean, Southern Oceans (> 60 degrees South) and Tasman Sea from 1957-10-21 to 1963-08-15. These data include AIR-SEA DIFFERENCE - PARTIAL PRESSURE (OR FUGACITY) OF CARBON DIOXIDE, BAROMETRIC PRESSURE, Partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer and Shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement.

These data were collected by Charles D. Keeling of University of California - San Diego; Scripps Institution of Oceanography as part of the Keeling_1957_1963 data set. CDIAC associated the following cruise ID(s) with this data set: KEEL19571021

Global gridded cropland-N2O emissions dataset Data Products:1. Global gridded dataset of N2O emissions from upland crops (5-arc-minute, annual) during the period 1901-2014.2. Global gridded dataset of N2O emissions from paddy rice (5-arc-minute, annual) during the period 1901-2014.Note: The datasets were produced by using flux upscaling approach (BRRTv2) by Qihui Wang at Peking University. Detailed informations such as variable names and units can be obtained by using the “ncdisp”function in matlab.Resolution: 5min;Latitude: 90°N~90°SLongitude:-180°W~180°EVariable name: N2O_FI_r; N2O_FI_uDefinition: N2O_FI_r means fertilizer induced N2O emissions by paddy rice and N2O_FI_u means fertilizer induced N2O emissions by upland cropsUnit: kg N per ha per yr; kg N per ha per yrThe “ha” stand for paddy rice area for paddy rice emissions and upland crops area for upland crops emissions. Citation:1. Wang Q, Zhou F, Shang Z, Ciais P, Winiwarter W, Jackson RB, et al. Data-driven estimates of global nitrous oxide emissions from croplands. National Science Review 2020, 7(2): 441-452. https://doi.org/10.1093/nsr/nwz0872. Shang Z, Zhou F, Smith P, Saikawa E, Ciais P, Chang J, et al. Weakened growth of cropland N2O emissions in China associated with nationwide policy interventions. Global Change Biology 2019, 25(25): 3706-3719. https://doi.org/10.1111/gcb.147413. Shang Z, Abdalla M, Kuhnert M, Albanito F, Zhou F, Xia L, et al. Measurement of N2O emissions over the whole year is necessary for estimating reliable emission factors. Environ Pollut 2020: https://doi.org/10.1016/j.envpol.2019.1138644. Zhou F, Shang ZY, Zeng ZZ, Piao SL, Ciais P, Raymond PA, et al. New model for capturing the variations of fertilizer-induced emission factors of N2O. Global Biogeochem Cy 2015, 29(6): 885-897. https://doi.org/10.1002/2014GB0050465. Zhou F, Shang ZY, Ciais P, Tao S, Piao SL, Raymond P, et al. A New High-Resolution N2O Emission Inventory for China in 2008. Environ Sci Technol 2014, 48(15): 8538-8547. https://doi.org/10.1021/es5018027 Contact:Direct questions, additional information regarding publications and research by email to zhouf@pku.edu.cn. License:Creative Commons Attribution 4.0 InternationalData may be freely downloaded for research, study, or teaching, but must be cited appropriately. Re-release of the data, or incorporation of the data into a commercial product, is allowed only with explicit permission. If you would like to request permission to use this dataset for another purpose, please contact us at zhouf@pku.edu.cn.

TRACE-P_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete.The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.

NCEI Accession 0157248 includes Surface underway, chemical, meteorological and physical data collected from TANGAROA in the Arafura Sea, Coral Sea, South Pacific Ocean, Tasman Sea and Timor Sea from 2014-02-03 to 2014-12-23. These data include AIR-SEA DIFFERENCE - PARTIAL PRESSURE (OR FUGACITY) OF CARBON DIOXIDE, BAROMETRIC PRESSURE, Partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer.

These data were collected by Dr. Kim I Currie of National Institute of Water and Atmospheric Research Limited as part of the VOS_Tangaroa_61TG20140203, VOS_Tangaroa_61TG20140415, VOS_Tangaroa_61TG20140510, VOS_Tangaroa_61TG20140521, VOS_Tangaroa_61TG20140602, VOS_Tangaroa_61TG20140616, VOS_Tangaroa_61TG20140722, VOS_Tangaroa_61TG20140926 and VOS_Tangaroa_61TG20141126 data set. CDIAC associated the following cruise ID(s) with this data set: 61TG20140203, 61TG20140415, 61TG20140510, 61TG20140521, 61TG20140602, 61TG20140616, 61TG20140722, 61TG20140926 and 61TG20141126

TRACE-P_TraceGas_AircraftInSitu_P3B_Data is the in-situ trace gas data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Chemical Ionization Mass Spectrometer (CIMS) and the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete.The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.

NCEI Accession 0157456 includes Surface underway, chemical and physical data collected from unknown platforms in the Arabian Sea, Bering Sea, Caribbean Sea, Coastal Waters of Southeast Alaska and British Columbia, Great Australian Bight, Gulf of Alaska, Indian Ocean, Ionian Sea, Java Sea, Labrador Sea, Laccadive Sea, Mediterranean Sea, Mediterranean Sea - Eastern Basin, Mediterranean Sea - Western Basin, North Atlantic Ocean, North Pacific Ocean, Philippine Sea, Red Sea, Sea of Okhotsk, South Atlantic Ocean, South Pacific Ocean, Southern Oceans (> 60 degrees South) and Tasman Sea from 1955-01-01 to 1974-12-31. These data include DELTA CARBON-13, DELTA CARBON-14, DISSOLVED INORGANIC CARBON (DIC), SALINITY and WATER TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer.

These data were collected by Heather Graven of University of California - San Diego; Scripps Institution of Oceanography as part of the Historical_Radiocarbon_Observations_1955_1974 data set. CDIAC associated the following cruise ID(s) with this data set: C14_19550101

This dataset provides values for GASOLINE PRICES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

NCEI Accession 0116978 includes Surface underway data collected from KEIFU MARU in the East China Sea (Tung Hai), North Pacific Ocean, Philippine Sea, Sea of Japan and South Pacific Ocean from 2001-01-20 to 2012-06-12. These data include BAROMETRIC PRESSURE, Partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer, Shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement, not applicable and thermosalinographs.

These data were collected by Shu Saito and Akira Nakadate of Japan Meteorological Agency; Pollutants Chemical Analysis Center; Marine Division; Global Environment and Marine Department as part of the VOS_Keifu_Maru_2001_2012 data set. CDIAC associated the following cruise ID(s) with this data set: 49UF20010120

The Global Volunteer Observing Ship (VOS) Program is coordinated by the UNESCO International Ocean Carbon Coordination Project (IOCCP). International groups from 14 countries have been outfitting research ships and commercial vessels with automated CO2 sampling equipment to analyze the carbon exchange between the ocean and atmosphere.

NCEI Accession 0144304 includes Surface underway data collected from Marcus G. Langseth in the North Pacific Ocean, Olympic Coast National Marine Sanctuary and South China Sea (Nan Hai) from 2012-05-13 to 2012-08-26. These data include BAROMETRIC PRESSURE, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer and Shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement.

These data were collected by Taro Takahashi and Stewart Sutherland of Columbia University; Lamont-Doherty Earth Observatory and Colm Sweeney of University of Colorado at Boulder; Cooperative Institute for Research In Environmental Sciences as part of the VOS_Marcus_Langseth_Lines_2012 data set. CDIAC associated the following cruise ID(s) with this data set: 33H320120513

The Global Volunteer Observing Ship (VOS) Program is coordinated by the UNESCO International Ocean Carbon Coordination Project (IOCCP). International groups from 14 countries have been outfitting research ships and commercial vessels with automated CO2 sampling equipment to analyze the carbon exchange between the ocean and atmosphere.

NCEI Accession 0157105 includes Surface underway and chemical data collected from unknown platforms in the Arabian Sea, Bali Sea, Makassar Strait, North Pacific Ocean, Solomon Sea and South Pacific Ocean from 1751-01-01 to 2004-12-31. These data include DELTA CARBON-14. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer.

These data were collected by S. J. Fallon of Australian National University, D. P. Schrag of Harvard University, T. P. Guilderson of Lawrence Livermore National Laboratory; Center for Accelerator Mass Spectrometry, R. B. Dunbar of Stanford University, N. Grumet Prouty of US DOI; US Geological Survey and K. H. Kilbourne of University of Maryland; Center for Environmental Science; Chesapeake Biological Laboratory as part of the Surface Water Radiocarbon from Coral Reefs data set. CDIAC associated the following cruise ID(s) with this data set: Coral Reefs

NCEI Accession 0157100 includes Surface underway, chemical, meteorological and physical data collected from MARION DUFRESNE in the Arabian Sea, Bali Sea, Gulf of Aden, Gulf of Suez, Indian Ocean, Laccadive Sea, Red Sea, Savu Sea and Southern Oceans (> 60 degrees South) from 1991-01-05 to 1993-08-08. These data include BAROMETRIC PRESSURE, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer.

These data were collected by Alain Poisson of Universite Pierre et Marie Curie; Laboratoire de Biogeochimie et Chimie Marines as part of the Minerve 07-28 data set. CDIAC associated the following cruise ID(s) with this data set: Minerve 07-28

The circumpolar boreal and tundra biomes are the highest concentrations of the global inland water bodies, including lakes, reservoirs, and ephemeral ponds. The majority of these water bodies are small-sized but enormous in number. These small water bodies are essential to global greenhouse gas emissions; however, they are vulnerable to climate change, and little has been known. Thus, it is critical to investigate water bodies in this highly concentrated region, especially the small water bodies. This study presented a comprehensive dataset of water bodies for the tundra and boreal biomes in North America (WBD-NAHL). The 10-m resolution Sentinel-2 and the 30-m resolution JRC water dataset were adopted as the main inputs to enhance the ability on identifying small water bodies (Figure 1). The main contributions of this dataset are as follows: 1) the first investigation of water bodies in the tundra and boreal biomes in North America. Nearly 6.5 million water bodies were identified, about 90% of which were smaller than 0.1 km2; 2) this dataset provides the locations, areas, and morphological attributes for each water body, enabling the analysis of water body distribution, types, and more, which is expected to support studies in the water cycle, carbon emission, and permafrost in high latitudes under global climate change. Figure 1: Distributions of the percent (a), area (b), perimeter (c), and SI (d), and the number (e) of the water bodies in the North American tundra and boreal forest regions (aggregated to 5 km×5 km grids). This work was supported by the National Natural Science Foundation of China (grant no. 42171140) and the NSFC BSCTPES project (grant no. 41988101)

Coal rose to 112 USD/T on July 11, 2025, up 0.90% from the previous day. Over the past month, Coal's price has risen 7.07%, but it is still 16.32% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coal - values, historical data, forecasts and news - updated on July of 2025.

Snapshot img

Blockchain Market in Supply Chain Industry Size 2024-2028

The blockchain market in supply chain industry size is forecast to increase by USD 7.55 billion at a CAGR of 53.59% between 2023 and 2028.

The market is experiencing significant growth due to several key trends. The increasing number of cargo thefts and the need for enhanced security measures are driving the adoption of blockchain technology. Additionally, the advent of blockchain-as-a-service models is making it more accessible and cost-effective for businesses. However, the high initial setup and implementation costs of blockchain remain a challenge for some organizations. Despite this, the benefits of increased transparency, improved traceability, and enhanced security are compelling many supply chain companies to invest in this technology. As the market continues to evolve, it is expected that blockchain will become an essential tool for ensuring the integrity and security of global supply chains.
With its decentralized and immutable nature, blockchain offers a secure and transparent solution for tracking and verifying the authenticity of goods, from production to delivery. This technology is poised to revolutionize the way businesses manage their supply chains in e-commerce, reducing fraud, increasing efficiency, improving customer trust, and leveraging analytics to optimize decision-making and streamline operations.

What will be the Size of the Blockchain Market in Supply Chain Industry During the Forecast Period?

Request Free Sample

The market is experiencing significant growth due to the adoption of distributed ledger technology for enhancing transparency, eliminating middlemen, and ensuring secure and automated information flow. Various sectors, including healthcare institutions, are leveraging this technology to improve supply chain management and product traceability. Distributed ledgers enable digital database records that are immutable and secure, reducing the need for central middlemen and streamlining payment and settlement processes. Blockchain technology offers benefits such as counterfeit detection, smart contracts, and origins tracing, making it an attractive solution for industries like manufacturing, oil and gas, and others.
Regulatory acceptance is also increasing, further boosting market momentum. The blockchain platform provides a secure and efficient ecosystem for transactions and information flow, enhancing the overall efficiency and reliability of supply chain operations. Security remains a top priority, with blockchain's decentralized nature offering strong protection against cyber threats. The market is expected to continue growing as more industries recognize the potential of this transformative technology.

How is this Blockchain in Supply Chain Industry segmented and which is the largest segment?

The market 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.

Type

  Public
  Private
  Hybrid


Application

  Transportation
  Warehousing
  Others


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  South America



  Middle East and Africa

By Type Insights

The public segment is estimated to witness significant growth during the forecast period. The blockchain market in the supply chain industry has witnessed significant growth, particularly in the public cloud segment. In 2023, this segment dominated due to the increasing globalization and expansion of sectors like IT, BFSI, and pharmaceuticals. Public blockchains, which allow anyone to participate in the consensus process, are secured by crypto economics and are fully decentralized. This technology enhances transparency, eliminating the need for middlemen in various industries, including healthcare institutions. Distributed ledger technology provides end-to-end visibility, enabling real-time data sharing for sectors like FMCG and APAC enterprises. Blockchain's application extends to settlement services, legal services, insurance services, and transportation management.
It offers smart contracts, anti-counterfeiting solutions, and product traceability, ensuring authenticity and quality. The technology's digital database records, smart devices, and real-time data facilitate faster delivery, temperature measurements, and shipment position updates. Regulatory acceptance and the integration of AI, ML, and digital asset holdings further strengthen the technological ecosystem. SMEs and industry verticals like manufacturing, oil and gas, and retail can benefit from the increased market liquidity and data analytics for demand forecasting and inventory control.

Get a glance at the market report of share of various segments Request Free Sample

The