76 datasets found
  1. Recession fear worldwide 2018-2022

    • statista.com
    Updated Jul 27, 2023
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    Statista (2023). Recession fear worldwide 2018-2022 [Dataset]. https://www.statista.com/statistics/1332257/recession-fear-worldwide/
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    Dataset updated
    Jul 27, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Jul 2022
    Area covered
    Worldwide
    Description

    Between January 2018 and July 2022, global recession fear went through periods of sharp increases three times. First, in the summer of 2019, due to an escalation in U.S.-China relations and a recession signal being flashed by the bond market. The second peak of worldwide recession fear took place in March 2020, as a result of the alarming jump in the rate of COVID-19 cases. The fear of recession started to increase sharply again in February 2022, as the conflict between Russia and Ukraine escalated.

  2. People believing that we are entering a recession worldwide 2022, by country...

    • statista.com
    Updated May 30, 2025
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    Statista (2025). People believing that we are entering a recession worldwide 2022, by country [Dataset]. https://www.statista.com/statistics/1353176/opinion-global-recession-country/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 1, 2022 - Aug 8, 2022
    Area covered
    United Kingdom, France, Germany, World, Canada, United States
    Description

    Due to the rising inflation rates worldwide in 2022, many consumers are of the opinion that we are entering a recession. This was most pronounced in the United Kingdom, where 61 percent of the respondents strongly or very much agreed with the statement that we are entering a recession as of September 2022. On the contrary, less than a quarter of the respondents in China were of the same opinion. In total, around half of the respondents worldwide believed that we are entering a recession.

  3. F

    Dates of U.S. recessions as inferred by GDP-based recession indicator

    • fred.stlouisfed.org
    json
    Updated Apr 30, 2025
    + more versions
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    (2025). Dates of U.S. recessions as inferred by GDP-based recession indicator [Dataset]. https://fred.stlouisfed.org/series/JHDUSRGDPBR
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    jsonAvailable download formats
    Dataset updated
    Apr 30, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Dates of U.S. recessions as inferred by GDP-based recession indicator (JHDUSRGDPBR) from Q4 1967 to Q4 2024 about recession indicators, GDP, and USA.

  4. Perceptions of whether countries have fallen into recession worldwide 2024

    • statista.com
    • ai-chatbox.pro
    Updated May 30, 2025
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    Statista (2025). Perceptions of whether countries have fallen into recession worldwide 2024 [Dataset]. https://www.statista.com/statistics/1468441/perceptions-recession-world-country/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 22, 2024 - Apr 5, 2024
    Area covered
    Worldwide
    Description

    Due to increasing inflation rates, economic growth has been slow in several countries worldwide, and some risk falling into recession. When asked about this, 76 percent of respondents in South Korea believed that the country's economy had fallen into recession, and 75 percent of respondents in Turkey did the same. In fact, South Korea's gross domestic product (GDP) growth rate increased by 1.4 percent in the third quarter of 2023. Inflation increased rapidly around the world through 2022 and 2023, before it started falling in some countries in 2024.

  5. F

    OECD based Recession Indicators for OECD and Non-member Economies from the...

    • fred.stlouisfed.org
    json
    Updated Dec 9, 2022
    + more versions
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    (2022). OECD based Recession Indicators for OECD and Non-member Economies from the Peak through the Trough (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/OECDNMERECDM
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    jsonAvailable download formats
    Dataset updated
    Dec 9, 2022
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for OECD based Recession Indicators for OECD and Non-member Economies from the Peak through the Trough (DISCONTINUED) (OECDNMERECDM) from 1960-02-01 to 2022-02-28 about OECD and Non-OECD, peak, trough, and recession indicators.

  6. U.S. monthly projected recession probability 2021-2026

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). U.S. monthly projected recession probability 2021-2026 [Dataset]. https://www.statista.com/statistics/1239080/us-monthly-projected-recession-probability/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2021 - Apr 2026
    Area covered
    United States
    Description

    By April 2026, it is projected that there is a probability of ***** percent that the United States will fall into another economic recession. This reflects a significant decrease from the projection of the preceding month.

  7. f

    The regression results during the GFC.

    • plos.figshare.com
    xls
    Updated Mar 6, 2024
    + more versions
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    Xin Hu; Bo Zhu; Bokai Zhang; Lidan Zeng (2024). The regression results during the GFC. [Dataset]. http://doi.org/10.1371/journal.pone.0299237.t014
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    xlsAvailable download formats
    Dataset updated
    Mar 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Xin Hu; Bo Zhu; Bokai Zhang; Lidan Zeng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The linkages between the US and China, the world’s two major agricultural powers, have brought great uncertainty to the global food markets. Inspired by these, this paper examines the extreme risk spillovers between US and Chinese agricultural futures markets during significant crises. We use a copula-conditional value at risk (CoVaR) model with Markov-switching regimes to capture the tail dependence in their pair markets. The study covers the period from January 2006 to December 2022 and identifies two distinct dependence regimes (stable and crisis periods). Moreover, we find significant and asymmetric upside/downside extreme risk spillovers between the US and Chinese markets, which are highly volatile in crises. Additionally, the impact of international capital flows (the financial channel) on risk spillovers is particularly pronounced during the global financial crisis. During the period of the COVID-19 pandemic and the Russia-Ukraine 2022 war, the impact of supply chain disruptions (the non-financial channel) is highlighted. Our findings provide a theoretical reference for monitoring the co-movements in agricultural futures markets and practical insights for managing investment portfolios and enhancing food market stability during crises.

  8. t

    Rubber

    • cdn.tradingeconomics.com
    Updated Dec 5, 2022
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    TRADING ECONOMICS (2022). Rubber [Dataset]. http://cdn.tradingeconomics.com/commodity/rubber
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    Dataset updated
    Dec 5, 2022
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 1997 - Dec 5, 2022
    Area covered
    Commodity
    Description

    Rubber futures were trading around 126 USD cents /Kg, not far from an over two-year low of 117 USD cents/Kg scaled in late October /Kg, amid lingering concerns about global recession and supply chain issues. Persistent coronavirus-induced restrictions in top consumer China following record-high COVID-19 cases also added to worries about sluggish demand. Meanwhile, Toyota downgraded its Japanese FY2023 production forecast from 9.7 million units to 9.2 million units due to the parts shortage resulting from the spread of COVID-19 in its factories. The company also said it expects to build approximately 750,000 units in December, against previous guidance of 850,000. In the meantime, Japan's manufacturing activity contracted at the fastest pace in two years in November as demand worsened due to strong inflationary pressures.

    . Historically, Rubber reached an all time high of 526.40 in February of 2011.

  9. United States (DC)Nonfarm Business: Recession Effect Adjustment

    • ceicdata.com
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    CEICdata.com, United States (DC)Nonfarm Business: Recession Effect Adjustment [Dataset]. https://www.ceicdata.com/en/united-states/nipa-2013-potential-gross-domestic-product-projection-congressional-budget-office/dcnonfarm-business-recession-effect-adjustment
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    United States
    Description

    United States (DC)Nonfarm Business: Recession Effect Adjustment data was reported at 99.526 1992=100 in 2023. This stayed constant from the previous number of 99.526 1992=100 for 2022. United States (DC)Nonfarm Business: Recession Effect Adjustment data is updated yearly, averaging 100.000 1992=100 from Dec 1949 (Median) to 2023, with 75 observations. The data reached an all-time high of 100.000 1992=100 in 2009 and a record low of 99.526 1992=100 in 2023. United States (DC)Nonfarm Business: Recession Effect Adjustment data remains active status in CEIC and is reported by Congressional Budget Office. The data is categorized under Global Database’s United States – Table US.A130: NIPA 2018: Potential Gross Domestic Product: Projection.

  10. The regression results during the period of the COVID-19 pandemic and the...

    • plos.figshare.com
    xls
    Updated Mar 6, 2024
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    Xin Hu; Bo Zhu; Bokai Zhang; Lidan Zeng (2024). The regression results during the period of the COVID-19 pandemic and the Russia-Ukraine war in 2022. [Dataset]. http://doi.org/10.1371/journal.pone.0299237.t016
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 6, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xin Hu; Bo Zhu; Bokai Zhang; Lidan Zeng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ukraine, Russia
    Description

    The regression results during the period of the COVID-19 pandemic and the Russia-Ukraine war in 2022.

  11. Global gross domestic product (GDP) 2030

    • statista.com
    • ai-chatbox.pro
    • +1more
    Updated May 28, 2025
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    Statista (2025). Global gross domestic product (GDP) 2030 [Dataset]. https://www.statista.com/statistics/268750/global-gross-domestic-product-gdp/
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The statistic shows global gross domestic product (GDP) from 1985 to 2024, with projections up until 2030. In 2020, global GDP amounted to about 85.76 trillion U.S. dollars, two and a half trillion lower than in 2019. Gross domestic product Gross domestic product, also known as GDP, is the accumulated value of all finished goods and services produced in a country, often measured annually. GDP is significant in determining the economic health, growth and productivity in the country, and is a stat often used when comparing several countries at a time, most likely in order to determine which country has seen the most progress. Until 2020, Global GDP had experienced a growth every year since 2010. However, a strong growth rate does not necessarily lead to all positive outcomes and often has a negative effect on inflation rates. A severe growth in GDP leads to lower unemployment, however lower unemployment often leads to higher inflation rates due to demand increasing at a much higher rate than supply and as a result prices rise accordingly. In terms of unemployment, growth had been fairly stagnant since the economic downturn of 2007-2009, but it remains to be seen what the total impact of the coronavirus pandemic will be on total employment.

  12. GDP loss due to COVID-19, by economy 2020

    • statista.com
    • ai-chatbox.pro
    Updated May 30, 2025
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    Jose Sanchez (2025). GDP loss due to COVID-19, by economy 2020 [Dataset]. https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    In 2020, global gross domestic product declined by 6.7 percent as a result of the coronavirus (COVID-19) pandemic outbreak. In Latin America, overall GDP loss amounted to 8.5 percent.

  13. f

    Descriptive statistics of the sample from January 2006 to May 2020.

    • figshare.com
    xls
    Updated Mar 6, 2024
    + more versions
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    Xin Hu; Bo Zhu; Bokai Zhang; Lidan Zeng (2024). Descriptive statistics of the sample from January 2006 to May 2020. [Dataset]. http://doi.org/10.1371/journal.pone.0299237.t011
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Xin Hu; Bo Zhu; Bokai Zhang; Lidan Zeng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Descriptive statistics of the sample from January 2006 to May 2020.

  14. S

    A global streamflow indices time series dataset for large-sample...

    • scidb.cn
    Updated Feb 7, 2023
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    Xinyu Chen; Liguang Jiang; Yuning Luo; Junguo Liu (2023). A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime [Dataset]. http://doi.org/10.57760/sciencedb.07227
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 7, 2023
    Dataset provided by
    Science Data Bank
    Authors
    Xinyu Chen; Liguang Jiang; Yuning Luo; Junguo Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    With the booming big data techniques, large-sample hydrological analysis on streamflow regime is becoming feasible, which could derive robust conclusions on hydrological processes from a big-picture perspective. However, there is a lack of a comprehensive global large-sample dataset for components of the streamflow regime yet. This paper presents a new time series dataset on global streamflow indices calculated from daily streamflow records after data quality control. The dataset contains 79 indices over seven major components of streamflow regime (i.e., magnitude, frequency, duration, changing rate, timing, variability, and recession) of 41263 river reaches globally on yearly and multiyear scales. Streamflow indices values until 2022 are covered in the dataset. Time span of the time series dataset is from 1806 to 2022 with an average length of 36 years. Compared to existing global datasets, this global dataset covers more stations and more indices, especially those characterizing the frequency, duration, changing rate, and recession of streamflow regime. With the dataset, research on streamflow regime will become easier without spending time handling raw streamflow records. This comprehensive dataset will be a valuable resource to the hydrology community to facilitate a wide range of studies, such as studies of hydrological behavior of a catchment, streamflow regime prediction in data-scarce regions, as well as variations in streamflow regime from a global perspective.

  15. U.S. clean energy investments 2004-2022

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). U.S. clean energy investments 2004-2022 [Dataset]. https://www.statista.com/statistics/499193/clean-energy-investment-in-the-us/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The United States’ investment in clean energy reached its highest point in 2022 at *** billion U.S. dollars. This represents a substantial increase since 2004, when investment totaled roughly ** billion U.S. Changes in investment level While clean energy investment has risen drastically over the past 20 years, its growth has not always been consistent. Investment dropped after 2008 in the wake of the financial crisis, before climbing to a new peak in 2011, then decreasing again for a few years. Significant fluctuations in the energy market as a whole played a part in wavering investments during the turbulent years following the global recession. Unstable fossil fuel prices In addition to environmental concerns, the volatility of oil markets in recent years have contributed to rising interest and investment in renewables. In response to swelling international oil prices during the 2008 financial crisis, investors sought to develop both renewables as well as new technologies to domestically extract fossil fuels, such as hydraulic fracturing. A surplus of shale oil and natural gas followed and led to the further destabilization of the U.S. energy market, known as the 2010s oil glut.

  16. f

    Pearson correlations of regression variables.

    • figshare.com
    xls
    Updated Mar 6, 2024
    + more versions
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    Xin Hu; Bo Zhu; Bokai Zhang; Lidan Zeng (2024). Pearson correlations of regression variables. [Dataset]. http://doi.org/10.1371/journal.pone.0299237.t012
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Xin Hu; Bo Zhu; Bokai Zhang; Lidan Zeng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The linkages between the US and China, the world’s two major agricultural powers, have brought great uncertainty to the global food markets. Inspired by these, this paper examines the extreme risk spillovers between US and Chinese agricultural futures markets during significant crises. We use a copula-conditional value at risk (CoVaR) model with Markov-switching regimes to capture the tail dependence in their pair markets. The study covers the period from January 2006 to December 2022 and identifies two distinct dependence regimes (stable and crisis periods). Moreover, we find significant and asymmetric upside/downside extreme risk spillovers between the US and Chinese markets, which are highly volatile in crises. Additionally, the impact of international capital flows (the financial channel) on risk spillovers is particularly pronounced during the global financial crisis. During the period of the COVID-19 pandemic and the Russia-Ukraine 2022 war, the impact of supply chain disruptions (the non-financial channel) is highlighted. Our findings provide a theoretical reference for monitoring the co-movements in agricultural futures markets and practical insights for managing investment portfolios and enhancing food market stability during crises.

  17. Global Perfluoropolyether PFPE Market Report 2025 Edition, Market Size,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Apr 15, 2025
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    Cognitive Market Research (2025). Global Perfluoropolyether PFPE Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/perfluoropolyether-pfpe-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global 3D Metrology Market with Recession market size is USD 10198.3 million in 2024 and will expand at a compound yearly growth rate (CAGR) of 7.6% from 2024 to 2031. Market Dynamics of 3D Metrology Market with Recession Market

    Key Drivers for 3D Metrology Market with Recession Market

    Rising Use of 3D Data for Modeling and Analysis to Increase the Demand Globally - During recessions, industries increasingly rely on 3D data for modeling and analysis to optimize processes and minimize costs. 3D metrology facilitates accurate measurement and inspection, ensuring quality while reducing waste. As businesses seek efficiency enhancements, the demand for precise 3D metrology solutions grows. Leveraging advanced technologies for data-driven decision-making becomes imperative during economic downturns, propelling the market forward despite challenges, as it enables industries to maintain competitiveness and streamline operations. Rising Demand for QC and Inspection Applications in Automotive Sector.

    Accelerating product utility across other end-use industries to drive global market trends
    

    Escalating product penetration in the defense industry will positively contribute to the growth of the perfluoropolyether (PFPE) market worldwide. Besides this, the booming commercial vehicle industry is expected to drive the demand for perfluoropolyether (PFPE) in the future. A major application of high-quality lubricants in automotive & electronics industry will adorn global market trends. With the applications of PFPE lubricants in leather, plastic, and paper, the demand for perfluoropolyether (PFPE) worldwide will grow lucratively in the foreseeable future. Exponential growth in air cargo carriage activities with growing air travel will escalate global market demand. Also, an increase in per capita income and cost advantage will spread the size of the global market. Introduction of environmental-friendly products and new products will introduce a paradigm shift to the global market. For instance, In May 2022, DuPont introduced MOLYKOTE® Multilub Synthetic High Performance Grease. (Source: - https://www.dupont.com/products/molykote-multilub-high-performance-grease.html ) The new product is expected to find a range of applications in gearboxes, springs, actuators, spindles, and centrifuge pumps.

    Key Restraints for 3D Metrology Market with Recession Market

    High Initial Investments- High initial investments in 3D metrology equipment can limit market growth during recessions as companies may delay or reduce capital expenditures to conserve cash flow. Lack of Skilled Workers- The lack of skilled workers in the 3D metrology market during a recession constrains its growth potential as industries struggle to fully utilize advanced metrology technologies for quality control and process optimization.

    Key Opportunity of Market.

    Miniaturization, environmentally friendly fluorochemistries, and aerospace uses can be an Opportunity.
    

    Electronics and medical devices offer ample opportunities as PFPE facilitates lubrication of micro components without outgassing or residue as devices shrink and performance requirements rise. PFPE-based greases and fluids boast superior oxidative and thermal stability as 5G infrastructure continues to grow and wafer-level production intensifies. Satellite aerospace systems, spacecraft actuators, and vacuum-sealed mechanisms are increasingly relying on PFPE as well. An increasing focus on PFPE as a more secure fluorinated alternative to banned PFAS compounds aligns with industry sustainability initiatives. In addition, new business avenues are emerging in the domains of optics, 3D printing, and nanofabrication technological streams because of the advancements in PFPE-functional coatings, emulsions, and composite material additives. Introduction of the 3D Metrology Market with Recession Market

    The 3D metrology market, encompassing technologies like laser scanning, coordinate measuring machines (CMM), and optical digitizers, plays an important role in ensuring precision and accuracy across industries. Amid economic downturns, the 3D metrology sector tends to display resilience due to its indispensable nature in manufacturing, automotive, aerospace, and healthcare. During recessions, cost optimization becomes imperative, driving the demand for efficient quality control and inspection solutions provided by 3D metrolog...

  18. Well Completion Equipment and Services is expected to reach USD 10.9 billion...

    • cognitivemarketresearch.com
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    Cognitive Market Research, Well Completion Equipment and Services is expected to reach USD 10.9 billion in 2022! [Dataset]. https://www.cognitivemarketresearch.com/well-completion-equipment-and-services-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the market for well-completion equipment and services is expected to reach USD 10.9 billion in 2022 and will grow at a compound annual growth rate (CAGR) of 4.50% from 2023 to 2030. How are the Key Trends Affecting the Well Completion Equipment and Services Market?

    Rise in Demand for Oil & Gas to Drive Market
    

    The energy demand has risen quickly during the last few decades globally. As a result, more oil and gas wells have been explored in various places of the world. The consumption of energy sources, including oil and gas, renewable energy, and nuclear energy, has significantly increased due to rising living standards and the world's population growth.

    Global energy usage is predicted to be 580 million terajoules per year. This equates to 580 million trillion joules or approximately 13865 million tonnes of oil equivalent. (Mtoe).

    (Source:www.theworldcounts.com/challenges/climate-change/energy/global-energy-consumption)

    Additionally, because most nations are refocusing their attention on lowering carbon emissions and increasing their reliance on fossil fuels, the demand for natural gas is anticipated to boost the need for gas exploration globally during the upcoming forecast period. The demand for well-completion services and equipment across various gas rig locations is favorably impacted by the rising energy consumption in the world and the rising number of gas rig explorations, propelling the market internationally.

    The Challenges Restraining Growth of the Well Completion Equipment and Services Market

    Fluctuations in Foreign Currencies Continue its Influence to Impede Market Growth
    

    The global economic downturn and rising property costs in industrialized economies substantially impacted the market in previous years. Thus, the market is still recovering from the recession and controlling inflation rates in developed economies. However, the ongoing changes in currency exchange rates continue to reduce market participants' profit margins. Additionally, the global economic environment impacts the extraction of metal needed to make oilfield equipment, which will restrain market expansion in the ensuing years. According to predictions, the industrialization and growth of the oil and gas industry will be propelled by fast-rising economies in the next years, balancing these price considerations and providing stable profit margins for market participants.

    Impact of COVID–19 on the Well Completion Services and Equipment Market

    The global market for well-completion equipment and services is anticipated to slow down during the next few years due to the COVID-19 pandemic. Lockdown measures undertaken by various governments have caused factory closures in several towns and provinces worldwide, prompting forecasts of a dramatic slowdown in the output of everything from the oil and gas industry to the industrial sector. The recent decrease in oil exploration operations is one of the primary factors projected to impact the market well-completion equipment and services adversely. Moreover, once production activities are suspended, businesses must deal with lost revenues and damaged supply chains. Introduction of Well Completion Equipment and Services

    "Well-completion equipment and services" relates to wellbore consultancy, architectural design, and downhole equipment for oil and gas wells in offshore and onshore areas. They cover whole completion procedures like operating the production tube, establishing the downhole tools, and carrying out numerous additional operations to get well ready for use. Due to the rising need for global oil and gas exploration, the market for well-completion equipment and services is projected to expand. The installation of machinery to extract crude oil from the earth's crust to meet the demand for oil and gas globally is made possible by well-completion tools and services. Another factor that is predicted to support market expansion is increased investment in various exploration and production activities. However, the challenges limiting the growth of the global market for well-completion equipment and services are the inability to improve the separate areas within productive zones and block off gas or water zones.

    For instance, in 2021, the United States petroleum consumption will average about 19.78 million barrels per day (b/d), including roughly a million b/d of bi...

  19. United States: duration of recessions 1854-2024

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). United States: duration of recessions 1854-2024 [Dataset]. https://www.statista.com/statistics/1317029/us-recession-lengths-historical/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Long Depression was, by a large margin, the longest-lasting recession in U.S. history. It began in the U.S. with the Panic of 1873, and lasted for over five years. This depression was the largest in a series of recessions at the turn of the 20th century, which proved to be a period of overall stagnation as the U.S. financial markets failed to keep pace with industrialization and changes in monetary policy. Great Depression The Great Depression, however, is widely considered to have been the most severe recession in U.S. history. Following the Wall Street Crash in 1929, the country's economy collapsed, wages fell and a quarter of the workforce was unemployed. It would take almost four years for recovery to begin. Additionally, U.S. expansion and integration in international markets allowed the depression to become a global event, which became a major catalyst in the build up to the Second World War. Decreasing severity When comparing recessions before and after the Great Depression, they have generally become shorter and less frequent over time. Only three recessions in the latter period have lasted more than one year. Additionally, while there were 12 recessions between 1880 and 1920, there were only six recessions between 1980 and 2020. The most severe recession in recent years was the financial crisis of 2007 (known as the Great Recession), where irresponsible lending policies and lack of government regulation allowed for a property bubble to develop and become detached from the economy over time, this eventually became untenable and the bubble burst. Although the causes of both the Great Depression and Great Recession were similar in many aspects, economists have been able to use historical evidence to try and predict, prevent, or limit the impact of future recessions.

  20. Biggest Concerns for the alternatives Industry worldwide in 2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Biggest Concerns for the alternatives Industry worldwide in 2024 [Dataset]. https://www.statista.com/statistics/1258071/top-financial-trends-forecast-by-asset-managers-and-investors-worldwide/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2024 - Oct 2024
    Area covered
    Worldwide
    Description

    The primary concerns for the alternatives' industry for the next five years by asset managers and investors worldwide were the expectation of a global recession, with ** percent of investors and ** percent of asset managers expecting to face this challenge within the next five years. The ****** most anticipated concern is geopolitical risks.

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Statista (2023). Recession fear worldwide 2018-2022 [Dataset]. https://www.statista.com/statistics/1332257/recession-fear-worldwide/
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Recession fear worldwide 2018-2022

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Dataset updated
Jul 27, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 2018 - Jul 2022
Area covered
Worldwide
Description

Between January 2018 and July 2022, global recession fear went through periods of sharp increases three times. First, in the summer of 2019, due to an escalation in U.S.-China relations and a recession signal being flashed by the bond market. The second peak of worldwide recession fear took place in March 2020, as a result of the alarming jump in the rate of COVID-19 cases. The fear of recession started to increase sharply again in February 2022, as the conflict between Russia and Ukraine escalated.

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