100+ datasets found
  1. Great Recession: monthly industrial production in the U.S. from 2007 to 2010...

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Great Recession: monthly industrial production in the U.S. from 2007 to 2010 [Dataset]. https://www.statista.com/statistics/1346323/great-recession-industrial-production-us/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2007 - Jan 2010
    Area covered
    United States
    Description

    The Industrial Production Index (IPI) fell sharply in the United States during the Great Recession, reaching its lowest point in June 2009. The recession was triggered by the collapse of the U.S. housing market and the subsequent financial crisis in 2007 and 2008, during which a number of systemically critical financial institutions failed or came close to bankruptcy. The crisis in the financial sector quickly spread to the non-financial economy, where firms were adversely hit by the tightening of credit conditions and the drop in consumer confidence caused by the crisis. The largest monthly drop in the IPI came in September 2008, as Lehman Brothers collapsed and the U.S. government was forced to step in to backstop the financial sector. Industrial production would begin to recover in the Summer of 2009, but remained far below its pre-crisis levels.

  2. Great Recession - change in employment by gender and industry

    • statista.com
    Updated Jul 6, 2011
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    Statista (2011). Great Recession - change in employment by gender and industry [Dataset]. https://www.statista.com/statistics/195191/change-in-employment-during-the-great-recession-by-gender-and-industry-since-2007/
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    Dataset updated
    Jul 6, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2007 - Jun 2009
    Area covered
    United States
    Description

    This statistic shows the change in employment during the Great Recession by gender and industry. During the Great recession, employment among women in the leisure and hospitality sector plummeted by 244,000.

  3. Great Recession - change in employment of women by industry

    • statista.com
    Updated Jul 6, 2011
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    Statista (2011). Great Recession - change in employment of women by industry [Dataset]. https://www.statista.com/statistics/195188/change-in-employment-of-women-in-the-great-recession-by-industry-since-2007/
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    Dataset updated
    Jul 6, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2007 - Jun 2009
    Area covered
    United States
    Description

    This statistic shows change in employment of women during the Great Recession by industry. In December 2007, employment of women in the information sector was 1.28 million.

  4. c

    AI Sensor Market with Recession Market will grow at a CAGR of 38.6% from...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jun 19, 2025
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    Cognitive Market Research (2025). AI Sensor Market with Recession Market will grow at a CAGR of 38.6% from 2024 to 2031. [Dataset]. https://www.cognitivemarketresearch.com/ai-sensor-market-with-recession-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 19, 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 AI Sensor Market with Recession Market size is USD 2.8 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 38.6% from 2024 to 2031. Market Dynamics of AI Sensor Market with Recession Market

    Key Drivers for AI Sensor Market with Recession Market

    Advancements in AI and Machine Learning: Rapid advances in artificial intelligence and machine learning are boosting the use of Al sensors. Algorithms are getting increasingly sophisticated and capable of handling complicated data from sensors, enabling real-time decision-making and predictive analytics. These developments allow Al sensors to detect patterns, anomalies, and trends in data streams, making them useful in applications such as picture recognition, natural language processing, and predictive maintenance. For instance, in manufacturing, Al sensors may detect faults in real time, improving quality control and lowering waste. Al sensors also improve the capability of autonomous systems and robots. They can perceive their surroundings, adjust to changing circumstances, and make sound decisions. This is especially crucial in industries like agriculture, where autonomous drones equipped with Al sensors can check crop health, detect pest infestations, and optimize pesticide use. Security and Surveillance applications

    Key Restraints for AI Sensor Market with Recession Market

    Capital Spending Delays in Price-Sensitive Sectors: Businesses in a variety of sectors, including retail, consumer electronics, and the automobile industry, frequently postpone or abandon capital-intensive initiatives and technological advancements during recessions. This has a direct impact on the use of AI sensors in consumer electronics, smart factories, and new goods, momentarily reducing market expansion.

    Semiconductor shortages and supply chain disruptions: Complex semiconductor components are necessary for AI sensors, and supply chain bottlenecks are frequently made worse by global economic downturns. Delays in shipping, reduced manufacturing capacity, and geopolitical unrest can all affect sensor production and lengthen lead times, making it more difficult for industries to deploy sensors on time.

    Key Trends for AI Sensor Market with Recession Market

    Transition to Low-Cost Advanced AI Sensors: Industries are turning to edge AI sensors that analyze data locally in order to deal with financial restrictions. This eliminates the need for expensive cloud infrastructure and latency problems. Due to their simplicity of deployment and reduced total cost of ownership, small, energy-efficient sensors with on-chip AI are becoming more and more popular. Growing Utilization in Energy Efficiency and Predictive Maintenance: Operational efficiency is a top priority for financially stressed organizations, and AI sensors are essential for energy optimization and predictive maintenance. Industrial equipment with sensors built in can anticipate malfunctions, prolong the life of machinery, and use less electricity, all of which can result in quantifiable cost savings during recessions. Introduction of the AI Sensor Market with Recession Market

    Al sensors are also improving the capabilities of autonomous systems and robots. They can perceive their surroundings, adjust to changing conditions, and make sound decisions. This is especially crucial in industries like agriculture, where autonomous drones equipped with Al sensors can check crop health, detect pest infestations, and optimize pesticide use. Also, increased demand for life-saving healthcare equipment and self-driving capabilities in new electric vehicles are expected to fuel growth. The global shift towards digitization is expected to boost growth even further.

  5. Timescale U.S. tech companies expect to be able to survive a recession as of...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Timescale U.S. tech companies expect to be able to survive a recession as of 2022 [Dataset]. https://www.statista.com/statistics/1330718/time-tech-companies-survive-recession/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 15, 2022 - Jun 28, 2022
    Area covered
    United States
    Description

    As per a survey of tech company employees in June 2022, around ** percent stated that their business wouldn't be able to survive more than a year of a recessionary period. Just under ** percent claimed that the business wouldn't survive a recession longer than *** years.

  6. i

    Inflation and the Nation: A Global Recession’s Potential Effects on the...

    • ibisworld.com
    Updated Oct 19, 2022
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    IBISWorld (2022). Inflation and the Nation: A Global Recession’s Potential Effects on the Australian Economy [Dataset]. https://www.ibisworld.com/blog/inflation-global-recession/61/1131/
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    Dataset updated
    Oct 19, 2022
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Oct 19, 2022
    Area covered
    Australia
    Description

    IBISWorld examines the potentially significant effects of a global recession on domestic industries, businesses and consumers.

  7. r

    Gastrocnemius Recession System Market Market Research Intelligence - Growth...

    • reportsanddata.com
    pdf,excel,csv,ppt
    Updated May 15, 2024
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    Reports and Data (2024). Gastrocnemius Recession System Market Market Research Intelligence - Growth & Industry Data [Dataset]. https://www.reportsanddata.com/report-detail/gastrocnemius-recession-system-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Reports and Data
    License

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

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Discover Gastrocnemius Recession System Market size, share, and forecast data for informed decision-making. Actionable insights backed by research.

  8. w

    Business growth, access to finance and performance outcomes in the recession...

    • data.wu.ac.at
    • data.europa.eu
    xml
    Updated Aug 12, 2013
    + more versions
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    Department for Business, Energy and Industrial Strategy (2013). Business growth, access to finance and performance outcomes in the recession [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/YTAyZTc4ZjMtNTMzYi00OTM1LTk2YTktY2Y3ZjA2MDNmZjNl
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    xmlAvailable download formats
    Dataset updated
    Aug 12, 2013
    Dataset provided by
    Department for Business, Energy and Industrial Strategy
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Data underlying the report of a study that assesses and quantifes the impacts of the financial crisis and subsequent global economic recession on the growth and performance of UK SME employers. Analyses existing data from two previous survey sources on SME employers in the pre-recession and recessionary periods. Covers how the problems in the banking sector have affected the supply of finance to the SME sector, and whether this has depressed business performance and investment. Looks at the impact of the recession has been more serious for particular types of entrepreneurs and businesses.

  9. Five Key Recession Indicators in 2022

    • ibisworld.com
    Updated Jul 13, 2022
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    IBISWorld (2022). Five Key Recession Indicators in 2022 [Dataset]. https://www.ibisworld.com/blog/five-key-recession-indicators/1/1126/
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    Dataset updated
    Jul 13, 2022
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Jul 13, 2022
    Description

    Is the US headed into a recession? IBISWorld takes a look into key recession indicators by individual US industries.

  10. H

    The Universal Shape of Economic Recession and Recovery after a Shock...

    • dataverse.harvard.edu
    Updated Nov 26, 2009
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    Damien Challet; Sorin Solomon; Gur Yaari (2009). The Universal Shape of Economic Recession and Recovery after a Shock [Dataset] [Dataset]. http://doi.org/10.7910/DVN/PIGIJ8
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 26, 2009
    Dataset provided by
    Harvard Dataverse
    Authors
    Damien Challet; Sorin Solomon; Gur Yaari
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    1980 - 2009
    Description

    We show that a simple and intuitive three-parameter equation fits remarkably well the evolution of the gross domestic product (GDP) in current and constant dollars of many countries during times of recession and recovery. We then argue that this equation is the response function of the economy to isolated shocks, hence that it can be used to detect large and small shocks, including those which do not lead to a recession; we also discuss its predictive power. Finally, a two-sector toy model of recession and recovery illustrates how the severity and length of recession depends on the dynamics of transfer rate between the growing and failing parts of the economy.

  11. i

    North America Gingival Recession Treatment Market Report

    • imrmarketreports.com
    Updated Jan 15, 2025
    + more versions
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    Swati Kalagate; Akshay Patil; Vishal Kumbhar (2025). North America Gingival Recession Treatment Market Report [Dataset]. https://www.imrmarketreports.com/reports/north-america-gingival-recession-treatment-market
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    IMR Market Reports
    Authors
    Swati Kalagate; Akshay Patil; Vishal Kumbhar
    License

    https://www.imrmarketreports.com/privacy-policy/https://www.imrmarketreports.com/privacy-policy/

    Area covered
    North America
    Description

    Technological advancements in the North America Gingival Recession Treatment industry are shaping the future market landscape. The report evaluates innovation-driven growth and how emerging technologies are transforming industry practices, offering a comprehensive outlook on future opportunities and market potential.

  12. F

    Smoothed U.S. Recession Probabilities

    • fred.stlouisfed.org
    json
    Updated Jul 1, 2025
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    (2025). Smoothed U.S. Recession Probabilities [Dataset]. https://fred.stlouisfed.org/graph/?g=nGmy
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    jsonAvailable download formats
    Dataset updated
    Jul 1, 2025
    License

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

    Area covered
    United States
    Description

    View an estimate of the probability of recession based on employment, industrial production, real personal income, and real manufacturing and trade sales.

  13. o

    Data from: The jobless recovery after the 1980–1981 British recession

    • openicpsr.org
    delimited
    Updated Aug 9, 2023
    + more versions
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    Meredith Paker (2023). The jobless recovery after the 1980–1981 British recession [Dataset]. http://doi.org/10.3886/E193213V1
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    delimitedAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    Grinnell College
    Authors
    Meredith Paker
    License

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

    Time period covered
    1979 - 1987
    Area covered
    United Kingdom
    Description

    Extensive research has been conducted on the concept of jobless recoveries and their potential causes, primarily focused on the United States from the 1990s. This paper finds that the prolonged employment downturn following the brief 1980-1981 recession in Britain qualifies as a jobless recovery and then investigates possible contributing factors: labor reallocation across industries, regional employment changes, and job polarization. The United States, which did not have a jobless recovery from the early 1980s recession, is taken as a comparison case. I find that the leading candidate explanation for this jobless recovery was the reallocation of labor across industries. This suggests an important role for structural change in the early 1980s recession and in jobless recoveries more generally.

  14. Top 5 Industries Outperforming the Economy

    • ibisworld.com
    Updated Oct 29, 2020
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    IBISWorld (2020). Top 5 Industries Outperforming the Economy [Dataset]. https://www.ibisworld.com/blog/top-5-industries-outperforming-the-economy/1/1126/
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    Dataset updated
    Oct 29, 2020
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Oct 29, 2020
    Description

    In this article, Lead Analyst Jeremy Moses provides an insight into the top five industries that are outperforming the economy in 2020 amid the COVID-19 pandemic.

  15. State Recessions

    • kaggle.com
    Updated Dec 16, 2018
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    Iain Kirsch (2018). State Recessions [Dataset]. https://www.kaggle.com/kirschil/state-recessions/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 16, 2018
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Iain Kirsch
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    This dataset was built using the Philadelphia Federal Reserve's State Coincident Indices and the Bry-Boschan Method for business cycle dating. In the tradition of Owyang, Piger, et al. business cycles are calculated on the state level which provides interesting analysis opportunities for looking at recession timing for different regions or sectors present in different states. The MSA level data utilizes the Economic Coincident Indices available on the St. Louis FRED website and uses a variant of the non-parametric algorithm described in Metro Business Cycles (Arias et al. 2016) to date MSA level recessions.

    Content

    This data is from 1982 through 2018 and includes whether the economy is in a recession or not, with forward looking and backward looking data available for observations as well. Additionally, various FRED St. Louis series were joined, like the University of Michigan Consumer Sentiment Index and the Global Price of Brent Crude. The 2012 value added as a percent for different NAICS groups is included as well for sectoral analysis, although better data over time for this would prove beneficial. The industries file attempts to correct this, but has fewer years available.

    Acknowledgements

    Special thanks to the researchers at the Federal Reserve Banks of Philadelphia and St. Louis for collecting and making available much of the data that went into this dataset.

    Inspiration

    I was inspired by researchers that have attempted to take business cycle dating to the state and MSA level. Local business cycle dating methodologies allow for a more robust understanding of what goes into a recession and how sectoral composition can affect a state or MSA's "resilience" to recessions. This could have applications for weighting business cycle risk for companies based on geographic dispersion of customers, as well as local policymakers if local forecasting could be done successfully.

  16. Tech companies business plans to survive a recession U.S. in 2022

    • statista.com
    Updated Aug 4, 2023
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    Statista (2023). Tech companies business plans to survive a recession U.S. in 2022 [Dataset]. https://www.statista.com/statistics/1330719/tech-companies-business-plans-recession/
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    Dataset updated
    Aug 4, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 15, 2022 - Jun 28, 2022
    Area covered
    United States
    Description

    As per a survey of tech company employees in the United States, the majority of tech companies plan to make some changes to the business in order to survive a recession. Just over half of the respondents stated that their company would focus more on customer retention and slightly under half said they would add automation software and cut operating expenses to survive.

  17. Data and Code for "Displaced Workers and the Pandemic Recession"

    • openicpsr.org
    delimited
    Updated May 30, 2023
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    Angela Guo; Pawel Krolikowski; Meifeng Yang (2023). Data and Code for "Displaced Workers and the Pandemic Recession" [Dataset]. http://doi.org/10.3886/E192026V1
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    delimitedAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    University of Michigan
    Authors
    Angela Guo; Pawel Krolikowski; Meifeng Yang
    License

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

    Time period covered
    1987 - 2021
    Area covered
    United States
    Description

    Workers displaced during the pandemic recession experienced better earnings and employment outcomes than workers displaced during previous recessions. A sharp recovery in aggregate labor market conditions after the pandemic recession accounts for these better outcomes. The industry and occupation composition of displaced workers, the prevalence of recalls, and increased take-up of unemployment insurance benefits are unlikely explanations.JEL Classification: E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity J63 Labor Turnover; Vacancies; Layoffs J64 Unemployment: Models, Duration, Incidence, and Job Search J65 Unemployment Insurance; Severance Pay; Plant Closings

  18. o

    Data and Code for Shocking Offers: Gender, Wage Inequality, and Recessions...

    • openicpsr.org
    delimited
    Updated May 2, 2024
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    Belinda Archibong; Peter Blair Henry (2024). Data and Code for Shocking Offers: Gender, Wage Inequality, and Recessions in Online Labor Market [Dataset]. http://doi.org/10.3886/E202001V1
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    delimitedAvailable download formats
    Dataset updated
    May 2, 2024
    Dataset provided by
    American Economic Association
    Authors
    Belinda Archibong; Peter Blair Henry
    License

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

    Area covered
    Africa
    Description

    Using data from the largest online job portal in Nigeria, we document: (a) gender differences in salary offers for jobs, and (b) the response of (a) to recessions. Jobs in industries where the number of job applicants skews female, offer lower starting salaries than jobs in industries where applicants skew male. During Nigeria’s 2016 recession, overall job applications rose, but applications to jobs in industries that skew male increased more than applications to jobs in industries that skew female. Salary offers fell sharply for jobs in male-skewed industries compared to female-skewed industries. In accordance with this relative shift in applications, in 2016, the salary-offer gender gap almost disappeared.

  19. G

    Gingival Recession Treatment Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Jan 11, 2025
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    Pro Market Reports (2025). Gingival Recession Treatment Market Report [Dataset]. https://www.promarketreports.com/reports/gingival-recession-treatment-market-11177
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Jan 11, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Gingival Recession Treatment Market is projected to reach $674.52 million by 2033, exhibiting a CAGR of 4.99% during the forecast period of 2025-2033. The growth is attributed to factors such as the rising prevalence of periodontal disease, increasing awareness about gingival recession, and technological advancements in treatment methods. Additionally, the growing adoption of minimally invasive procedures, such as laser therapy and guided tissue regeneration, is fueling market expansion. The market is segmented based on treatment type, material used, end user, and procedure complexity. Surgical treatment holds the largest market share due to the effectiveness and durability of the procedures. Non-surgical treatments, however, are gaining popularity as they are less invasive and offer faster recovery times. Collagen-based materials dominate the market due to their biocompatible and regenerative properties. Dental clinics account for the majority of the market share, while home care is expected to witness significant growth in the coming years due to the increasing availability of over-the-counter treatments. Key players in the market include Coltene, MediDent Supplies, and 3M. Recent developments include: In the Gingival Recession Treatment Market, recent developments showcase a growing emphasis on innovative solutions to address the gingival recession. Companies like Coltene and MediDent Supplies are investing in advanced technologies, aiming to enhance treatment efficacy and patient outcomes. The demand for bioactive materials and minimally invasive procedures is driving growth, with key players like 3M and GC Corporation expanding their product lines to include sophisticated regenerative materials. Current affairs indicate a surge in market valuation as awareness about oral health and aesthetics rises among consumers, promoting the market's expansion. Notable companies such as Patterson Companies and Ultradent Products are actively participating in this growth by launching new products designed for gingival recession treatment. Furthermore, merger and acquisition activities have been noted, with companies like Danaher and Dentsply Sirona exploring strategic partnerships to strengthen their market position and broaden their offerings. This collaborative approach is indicative of a competitive landscape where innovation and market relevance are crucial for success. The market’s dynamics reflect an increasingly interconnected environment where companies leverage advancements in technology and consumer healthcare trends to navigate evolving patient needs effectively.. Key drivers for this market are: Growing geriatric population, Increasing awareness of oral health; Advancements in regenerative medicine; Rising demand for minimally invasive procedures; Expanding dental tourism industry. Potential restraints include: Increasing prevalence of periodontal diseases, Growing awareness of oral health; Advances in treatment technologies; Rising aesthetic dentistry demand; Expanding geriatric population.

  20. M

    Global Gum Recession Line Market Competitive Environment 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jul 2025
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    Stats N Data (2025). Global Gum Recession Line Market Competitive Environment 2025-2032 [Dataset]. https://www.statsndata.org/report/gum-recession-line-market-133707
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    excel, pdfAvailable download formats
    Dataset updated
    Jul 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Gum Recession Line market is witnessing a significant transformation, emerging as a crucial sector within the broader dental health industry. Aligning with the growing awareness of oral hygiene and periodontal health, the Gum Recession Line refers to the visible border at the gingival margin where the gums reced

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Statista (2024). Great Recession: monthly industrial production in the U.S. from 2007 to 2010 [Dataset]. https://www.statista.com/statistics/1346323/great-recession-industrial-production-us/
Organization logo

Great Recession: monthly industrial production in the U.S. from 2007 to 2010

Explore at:
Dataset updated
Sep 2, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 2007 - Jan 2010
Area covered
United States
Description

The Industrial Production Index (IPI) fell sharply in the United States during the Great Recession, reaching its lowest point in June 2009. The recession was triggered by the collapse of the U.S. housing market and the subsequent financial crisis in 2007 and 2008, during which a number of systemically critical financial institutions failed or came close to bankruptcy. The crisis in the financial sector quickly spread to the non-financial economy, where firms were adversely hit by the tightening of credit conditions and the drop in consumer confidence caused by the crisis. The largest monthly drop in the IPI came in September 2008, as Lehman Brothers collapsed and the U.S. government was forced to step in to backstop the financial sector. Industrial production would begin to recover in the Summer of 2009, but remained far below its pre-crisis levels.

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