While some UK industries have inevitably suffered during the COVID-19 pandemic and the associated lockdown, IBISWorld has looked at those that are expected to have benefited.

As of November 14, 2021, all S&P 500 sector indices had recovered to levels above those of January 2020, prior to full economic effects of the global coronavirus (COVID-19) pandemic taking hold. However, different sectors recovered at different rates to sit at widely different levels above their pre-pandemic levels. This suggests that the effect of the coronavirus on financial markets in the United States is directly affected by how the virus has impacted various parts of the underlying economy. Which industry performed the best during the coronavirus pandemic? Companies operating in the information technology (IT) sector have been the clear winners from the pandemic, with the IT S&P 500 sector index sitting at almost ** percent above early 2020 levels as of November 2021. This is perhaps not surprising given this industry includes some of the companies who benefitted the most from the pandemic such as ************** and *******. The reason for these companies’ success is clear – as shops were shuttered and social gatherings heavily restricted due to the pandemic, online services such shopping and video streaming were in high demand. The success of the IT sector is also reflected in the performance of global share markets during the coronavirus pandemic, with tech-heavy NASDAQ being the best performing major market worldwide. Which industry performed the worst during the pandemic? Conversely, energy companies fared the worst during the pandemic, with the S&P 500 sector index value sitting below its early 2020 value as late as July 2021. Since then it has somewhat recovered, and was around ** percent above January 2020 levels as of October 2021. This reflects the fact that many oil companies were among the share prices suffering the largest declines over 2020. A primary driver for this was falling demand for fuel in line with the reduction in tourism and commuting caused by lockdowns all over the world. However, as increasing COVID-19 vaccination rates throughout 2021 led to lockdowns being lifted and global tourism reopening, demand has again risen - reflected by the recent increase in the S&P 500 energy index.

Globally, technology and energy companies were most likely to accelerate digital transformation (DX) processes in response to the COVID-19 pandemic, with 78 percent and 77 percent reporting great advancement of DX due to the pandemic, respectively. Digital transformation requires investments in technologies as well as people and processes to increase business value. Since the onset of the COVID-19 pandemic, digitization processes have sped up due to an increase in demand to work remotely and access information from different locations. Therefore, digital transformation was quickly enhanced to meet changing business and market requirements for both employees and customers during the pandemic.

Note: This dataset is no longer being updated as of June 2, 2025.

This dataset contains numbers of COVID-19 outbreaks and associated cases, categorized by setting, reported to CDPH since January 1, 2021.

AB 685 (Chapter 84, Statutes of 2020) and the Cal/OSHA COVID-19 Emergency Temporary Standards (Title 8, Subchapter 7, Sections 3205-3205.4) required non-healthcare employers in California to report workplace COVID-19 outbreaks to their local health department (LHD) between January 1, 2021 – December 31, 2022. Beginning January 1, 2023, non-healthcare employer reporting of COVID-19 outbreaks to local health departments is voluntary, unless a local order is in place. More recent data collected without mandated reporting may therefore be less representative of all outbreaks that have occurred, compared to earlier data collected during mandated reporting. Licensed health facilities continue to be mandated to report outbreaks to LHDs.

LHDs report confirmed outbreaks to the California Department of Public Health (CDPH) via the California Reportable Disease Information Exchange (CalREDIE), the California Connected (CalCONNECT) system, or other established processes. Data are compiled and categorized by setting by CDPH. Settings are categorized by U.S. Census industry codes. Total outbreaks and cases are included for individual industries as well as for broader industrial sectors.

The first dataset includes numbers of outbreaks in each setting by month of onset, for outbreaks reported to CDPH since January 1, 2021. This dataset includes some outbreaks with onset prior to January 1 that were reported to CDPH after January 1; these outbreaks are denoted with month of onset “Before Jan 2021.” The second dataset includes cumulative numbers of COVID-19 outbreaks with onset after January 1, 2021, categorized by setting. Due to reporting delays, the reported numbers may not reflect all outbreaks that have occurred as of the reporting date; additional outbreaks may have occurred that have not yet been reported to CDPH.

While many of these settings are workplaces, cases may have occurred among workers, other community members who visited the setting, or both. Accordingly, these data do not distinguish between outbreaks involving only workers, outbreaks involving only residents or patrons, or outbreaks involving both.

Several additional data limitations should be kept in mind:

• Outbreaks are classified as “Insufficient information” for outbreaks where not enough information was available for CDPH to assign an industry code.

• Some sectors, particularly congregate residential settings, may have increased testing and therefore increased likelihood of outbreak recognition and reporting. As a result, in congregate residential settings, the number of outbreak-associated cases may be more accurate.

• However, in most settings, outbreak and case counts are likely underestimates. For most cases, it is not possible to identify the source of exposure, as many cases have multiple possible exposures.

• Because some settings have been at times been closed or open with capacity restrictions, numbers of outbreak reports in those settings do not reflect COVID-19 transmission risk.

• The number of outbreaks in different settings will depend on the number of different workplaces in each setting. More outbreaks would be expected in settings with many workplaces compared to settings with few workplaces.

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.

The dataset in question offers a detailed look into the effects of the COVID-19 pandemic on professional work patterns across various sectors, providing 10,000 unique data points that allow for in-depth analysis. Each row in the dataset corresponds to an individual and contains 15 columns detailing different aspects of how their professional life was affected by the pandemic. These columns include a variety of features that help assess the changes people experienced, including variables like increased work hours, the shift to remote work, variations in productivity, and stress levels, among others. By studying these elements, users can gain a well-rounded understanding of how the pandemic reshaped work environments.

One of the dataset’s most notable aspects is the richness of its features. It includes both categorical and numerical attributes, providing a wide spectrum of data for analysis. For example, the column on "Increased Work Hours" could reflect whether professionals saw an increase in the number of hours they worked due to pandemic-related pressures. Similarly, the "Work from Home" feature captures whether or not individuals shifted to remote work, which became a significant adjustment for many. The dataset also records changes in productivity, offering a numerical measure of how performance shifted during the pandemic. Furthermore, the "Stress Levels" attribute provides insights into the mental health aspects of this dramatic shift in work life, which became a prevalent concern across industries.

This dataset offers real-world applicability and can be used in various practical and academic settings. One prominent use case is predictive modeling, where data scientists can develop models to predict how factors like remote work or increased work hours affect productivity or stress levels. It is ideal for tasks like binary classification, exploratory data analysis (EDA), or more complex machine learning challenges that may require sophisticated techniques such as feature engineering or managing imbalanced datasets. The introduction of artificial noise and non-linear relationships between features mirrors the complexity of real-world datasets, ensuring that simple, straightforward classification approaches may not yield effective results without more advanced analytical methods.

Behavioral analysis is another key area where this dataset shines. By exploring how different sectors and job roles adapted to the "new normal" of work, users can uncover trends, such as which industries were most flexible in adopting remote work or which sectors saw the highest levels of stress among professionals. For example, industries like technology or finance may have adjusted more easily to remote work than fields such as healthcare or manufacturing, where physical presence is often necessary. These insights could be useful for understanding broader societal impacts and for tailoring organizational responses to future disruptions.

In terms of policy making, the dataset can provide invaluable insights for both organizations and governments. By analyzing which sectors and job types were most affected by the pandemic, decision-makers can craft policies aimed at reducing the negative impacts of such disruptions in the future. For instance, businesses may choose to invest in better remote work infrastructures, while governments might consider policies that support mental health services for employees dealing with increased stress.

The intended audience for this dataset is broad. Data scientists and analysts will find this dataset to be a rich resource for exploring the impact of the pandemic on work life through machine learning models and statistical analysis. Students and academics in fields like labor studies, public health, and data science can use this dataset to understand the real-world implications of a global health crisis on work patterns. Furthermore, HR departments within organizations may leverage this data to analyze the lasting effects of the pandemic on their employees, potentially guiding them in designing future strategies that mitigate the impact of similar disruptions. By understanding the specific changes in work hours, productivity, and stress levels, HR teams can develop more effective wellness programs and support systems for their employees.

In summary, this dataset offers a comprehensive view of how the COVID-19 pandemic influenced professional work patterns, providing valuable insights that can help in predicting future trends, analyzing behavioral changes across different job roles, and crafting effective policies to manage such crises. The depth of its features and its realistic complexity make it a valuable tool for data analysis, machine learning, and public policy research.

Role of telecom industry in the world

The information and communication technology industry comprises of the telecommunication sector which is made up of all the internet service providers along with all telecom companies that play a vital role in the information industry. Owing to the COVID-19 pandemic all over the world as well as the ongoing economic recovery transformations, policy makers should adopt measure.....

BEA has been researching the use of card transaction data as an early barometer of spending in the United States. Since the emergence of COVID-19, dramatic and fast-moving changes to the U.S. economy have increased the public and policymakers' need for more frequent and timely economic data. In response, BEA is presenting these estimates using daily payment card data to measure the effects of the pandemic on spending, updated approximately every two weeks. Note that these payment card transactions are not necessarily representative of total spending in an industry and the data have other limitations, described below. The estimates in these charts and tables are not a substitute for BEA's monthly and quarterly official data, which are grounded in well-tested and proven methodologies. An event study methodology is used to estimate the difference (in percentage points) in spending from the typical level (relative to the day of week, month, and annual trends) prior to the pandemic declared by the World Health Organization on March 11, 2020.

ObjectiveTo quantitatively assess the impact of COVID-19 pandemic on public health, as well as its economic and social consequences in major economies, which is an international public health concern. The objective is to provide a scientific basis for policy interventions.Subject and methodsThis study utilizes a multi-country, multi-sector CGE-COVID-19 model to analyze the repercussions of the pandemic in 2022. The re-search focuses on quantifying the effects of COVID-19 on the macroeconomy and various industry sectors within six economies: the United States, China, the EU, the United Kingdom, Japan, and South Korea.ResultsThe COVID-19 pandemic shock had the most significant impact on China and the EU, followed by notable effects observed in the United States and the United Kingdom. In contrast, South Korea and Japan experienced relatively minimal effects. The reduction in output caused by the pandemic has affected major economies in multiple sectors, including real industries such as forestry and fisheries, and the services such as hotels and restaurants.ConclusionThe overall negative macroeconomic impact of the epidemic on major economies has been significant. Strategic interventions encompassing initiatives like augmenting capital supply, diminishing corporate taxes and fees, offering individual subsidies, and nurturing international cooperation held the potential to mitigate the detrimental economic consequences and enhance the global-economic amid the pan-demic. Consequently, this study contributes to the advancement of global anti-epidemic policies targeting economic recovery. Moreover, using the CGE-COVID-19 model has enriched the exploration of general equilibrium models in PHEIC events.

ABSTRACT This article aimed to test the effect of lockup periods on the performance of Brazilian equity funds and multimarket funds, considering the period affected by the 2019 coronavirus disease (COVID-19). This study contributes to better understanding the effects of redemption restrictions imposed on quotaholders, a relevant subject considering the increase in the number of funds in Brazil. This effect is analyzed with particular focus on the period affected by the COVID-19 pandemic. The results of this study have implications for individual and professional investors and may also interest large families of Brazilian funds, given that the establishment of lockup periods forms part of a long-term decision. The research has the potential to impact planning in the fund industry, the financial planning of small and large investors, as well as the literature on the subject, motivating the undertaking of new research. The sample was composed of 17,417 Brazilian funds, 13,581 of which were multimarket funds and 3,836 were equity funds, covering the period from January of 2018 to December of 2021. Various subsamples were evaluated for robustness purposes. The hypotheses were tested using a difference-in-difference model operationalized through a panel. Fund performance was estimated every quarter based on the four-factor alpha. The main results of the study reveal that lockup periods were positively associated with fund performance. On the other hand, during the period negatively affected by COVID-19, funds with greater lockup periods did not record better performance than the other funds (considering in the comparison the performance of groups with a shorter lockup and that of the funds before the pandemic), a result that may advance the discussion on the effects of redemption restrictions.

Following the onset of the COVID-19 pandemic and subsequent lockdowns, software engineers' daily life was disrupted and abruptly forced into remote working from home. This change deeply impacted typical working routines, affecting both well-being and productivity. Moreover, this pandemic will have long-lasting effects in the software industry, with several tech companies allowing their employees to work from home indefinitely if they wish to do so. Therefore, it is crucial to analyze and understand how a typical working day looks like when working from home and how individual activities affect software developers' well-being and productivity. We performed a two-wave longitudinal study involving almost 200 globally carefully selected software professionals, inferring daily activities with perceived well-being, productivity, and other relevant psychological and social variables. Results suggest that the time software engineers spent doing specific activities from home was similar when working in the office. (e.g., coding > emails > code review > networking). However, we also found some meaningful mean differences. The amount of time developers spent on each activity was unrelated to their well-being, perceived productivity, and other variables. We conclude that working remotely is not per se a challenge for organizations or developers.

Data explanation

High-quality financial data is expensive to acquire and is therefore rarely shared for free. The data set includes about 2750 US listed firm on NASDAQ and NYSE stock market. These all firms have December year end month. The firms names have been replaced with company number randomly. The data set can be analyzed from various perspectives. You will find out the performance of different industry in US in 2020, a pandemic situation. It is a very good and genuine dataset for people having Finance knowledge. It has taken from a financial database and amended for the Kaggle users.

Content

company_number: Just a random number primary_industry: secondary_industry: sub_secondary_industry
dividend_payer: companies that pay dividend has given dummy variable '1', non payer is '0'..
ebit_fy2019: Earnings before interest and tax for 2019
ebit_fy2020: Earnings before interest and tax for 2020
marketcap_decemb2019: Market capitalisation MTBV_Dec2019: Market to book value
totalreturn_percent_ytd_dec2020: stock returns for 2020 dps_fy2020: dividend paid per share in 2020 dps_fy2019: dividend paid per share in 2019 day_close_price_dollars_december: share closing price
change_in_earnings_by_marketcap total_equity_fy2019

Inspiration

Which industry has performed well and has the highest returns after COVID-19 which was still there in 2020 , either the companies in them are majority dividend payer or non payers. Industry wise profitability performance? What is the impact of size of the firms on their earnings and stock returns? The above questions are just a sample of questions, you can analyze the data as you want. Good luck!

According to a survey on the impact of the new coronavirus (COVID-19) outbreak on the Chinese society released in February 2020, medical education was considered by ** percent of the respondents to be the most promising industry after the epidemic in China. Artificial intelligence, internet, and e-commerce platforms were other leading industries expected to have good prospects.

The In-Home Care & Other Household Services industry in China has not developed very well in the past few years. Due to the COVID-19 pandemic, many services provided by the industry cannot be implemented, resulting in a decrease in industry revenue. Industry revenue is expected to decrease at an annualized rate of 4.7% over the five years through 2024 to $7.1 billion. The continuous growth of China's population and the trend of aging have led to a great demand for industries in society, and currently the industry has not formed a good supply-demand relationship.Industry profit is expected to total 3.7% of revenue in 2024. Total wages are expected to decrease by an annualized 3.8% over the five years through 2024 to $3.2 billion. The technological barriers in the industry are low, resulting in a large workforce and low profits. The industry is typically labor-intensive, with wages accounting for 45.8% of industry revenue in 2024. There are large number of small-size companies and self-employed practitioners in the industry. Industry concentration is very low. The largest company in the industry represents only 0.3% of industry revenue in 2024. Most participants operate in local markets only, and just a small number of franchise chain companies are able to cover multiple regions.The industry is forecast to continue growing strongly in the next five years, benefiting from Chinese residents' upgrading consumption, the third-child policies implemented in 2022, and as China becomes an aging society. Industry revenue is expected to increase an annualized 1.5% over the five years through 2029 to total $7.6 billion. Market shares are expected to increase towards franchise chain companies, which are encouraged by the Government. The industry's concentration level will rise, but still stay low. Customers will likely prefer high-end services, due to their increasing purchasing power. Furthermore, O2O platforms are projected to become a major channel for both consumers and industry practitioners in the industry.

This dataset contains numbers of COVID-19 outbreaks and associated cases, categorized by setting, reported to CDPH since January 1, 2021.

AB 685 (Chapter 84, Statutes of 2020) and the Cal/OSHA COVID-19 Emergency Temporary Standards (Title 8, Subchapter 7, Sections 3205-3205.4) required non-healthcare employers in California to report workplace COVID-19 outbreaks to their local health department (LHD) between January 1, 2021 – December 31, 2022. Beginning January 1, 2023, non-healthcare employer reporting of COVID-19 outbreaks to local health departments is voluntary, unless a local order is in place. More recent data collected without mandated reporting may therefore be less representative of all outbreaks that have occurred, compared to earlier data collected during mandated reporting. Licensed health facilities continue to be mandated to report outbreaks to LHDs.

LHDs report confirmed outbreaks to the California Department of Public Health (CDPH) via the California Reportable Disease Information Exchange (CalREDIE), the California Connected (CalCONNECT) system, or other established processes. Data are compiled and categorized by setting by CDPH. Settings are categorized by U.S. Census industry codes. Total outbreaks and cases are included for individual industries as well as for broader industrial sectors.

The first dataset includes numbers of outbreaks in each setting by month of onset, for outbreaks reported to CDPH since January 1, 2021. This dataset includes some outbreaks with onset prior to January 1 that were reported to CDPH after January 1; these outbreaks are denoted with month of onset “Before Jan 2021.” The second dataset includes cumulative numbers of COVID-19 outbreaks with onset after January 1, 2021, categorized by setting. Due to reporting delays, the reported numbers may not reflect all outbreaks that have occurred as of the reporting date; additional outbreaks may have occurred that have not yet been reported to CDPH.

While many of these settings are workplaces, cases may have occurred among workers, other community members who visited the setting, or both. Accordingly, these data do not distinguish between outbreaks involving only workers, outbreaks involving only residents or patrons, or outbreaks involving both.

Several additional data limitations should be kept in mind:

• Outbreaks are classified as “Insufficient information” for outbreaks where not enough information was available for CDPH to assign an industry code.

• Some sectors, particularly congregate residential settings, may have increased testing and therefore increased likelihood of outbreak recognition and reporting. As a result, in congregate residential settings, the number of outbreak-associated cases may be more accurate.

• However, in most settings, outbreak and case counts are likely underestimates. For most cases, it is not possible to identify the source of exposure, as many cases have multiple possible exposures.

• Because some settings have been at times been closed or open with capacity restrictions, numbers of outbreak reports in those settings do not reflect COVID-19 transmission risk.

• The number of outbreaks in different settings will depend on the number of different workplaces in each setting. More outbreaks would be expected in settings with many workplaces compared to settings with few workplaces.

Technical testing and analysis services are crucial in conducting rigorous tests to ensure products’ and materials’ quality, safety and regulatory compliance. Businesses seek testing services across all sectors of the economy, with the construction, manufacturing and energy sectors being key downstream markets. A growing number of businesses operating in France also means there is a larger potential client pool for testing firms. The industry is highly fragmented, though there are several well-established firms that have a domestic and continental presence, including Bureau Veritas, SGS and DEKRA. Revenue is expected to expand at a compound annual rate of 5.7% over the five years through 2025, including an estimated 2.3% hike in 2025 to reach €11.8 billion. Fluctuating economic conditions have affected business investment levels and output in key markets like construction and manufacturing, creating volatility for technical testing companies. COVID-19 restrictions stifled construction and manufacturing activity, significantly subduing demand for testing services. However, during the pandemic, demand for health-related testing surged in pharmaceuticals and personal protective equipment, limiting overall revenue decline. The gradual lifting of restrictions and rebound in business activity fuelled revenue growth in 2021. Despite severe inflationary pressures and geopolitical tensions since the second half of 2022, industry revenue has grown. Stricter EU regulations and cybersecurity threats have driven demand for tailored testing services. The CE marking and ISO standards have also amplified the need for rigorous compliance checks. In recent years, competitive pressures and higher operating costs have weighed on the industry’s profit margin. Revenue is forecast to climb at a compound annual rate of 3.6% over the five years through 2030 to €14.1 billion. Anticipated improvement in economic conditions thanks to lower inflation and interest rates will support business sentiment and investment. As more construction projects take place, including significant government infrastructure funding and manufacturers invest in new systems and products, demand for technical testing will expand. Sophisticated technical demands will arise from innovative advancements in renewable energy and digital technologies. As sustainability targets escalate, the need for environmental testing services will intensify, presenting opportunities to specialise in this niche market. Firms embracing advanced technologies like AI and machine learning will enhance operational processes and consolidate their competitive edge, boosting revenue and profit.

Snapshot img

The industrial roller chain drives market share is expected to increase by USD 407.16 million from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 3.74%.

This industrial roller chain drives market research report provides valuable insights on the post-COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers the industrial roller chain drives market segmentation by end-user (industrial, heavy equipment, and agricultural) and geography (APAC, North America, Europe, South America, and MEA). The industrial roller chain drives market report also offers information on several market vendors, including AB SKF, iwis, LEWCO Inc., Martin Sprocket and Gear Inc., Ramsey Products Corp., Renold Plc, Rexnord Corp., The Timken Co., The Tsubaki Group, and Wippermann junior GmbH among others.

What will the Industrial Roller Chain Drives Market Size be During the Forecast Period?

Download Report Sample to Unlock the Industrial Roller Chain Drives Market Size for the Forecast Period and Other Important Statistics

Industrial Roller Chain Drives Market: Key Drivers, Trends, and Challenges

Based on our research output, there has been a neutral impact on the market growth during and post-COVID-19 era. The rise in demand for oil and natural gas globally is notably driving the industrial roller chain drives market growth, although factors such as the long life of the industrial roller chain drive even in harsh environments may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the industrial roller chain drives industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key Industrial Roller Chain Drives Market Driver

One of the key factors driving the industrial roller chain drives market is the rise in demand for oil and natural gas globally. The demand for energy across the world is increasing steadily with economic growth. Nearly 80% of this growth in demand was met by oil, gas, and coal. The demand for natural gas increased by 60 Mtoe, or 70 billion cubic meters (BCM) in 2019, increasing by 1.8% over 2018 levels. Furthermore, demand for oil, including that for biofuels, jumped by 0.8% in 2019 over the 2018 levels, which was equivalent to 0.8 million barrels per day (mb/d). Therefore, there is a need to explore and produce new oil and gas reservoirs as the existing reservoirs have started to mature or face the depletion of their oil and gas resources. This is leading to the drilling of new wells. As offshore oil and gas reservoirs are larger than onshore reservoirs and the production life of offshore wells is longer than that of onshore wells. Therefore, oil and gas companies are shifting to offshore exploration and production (E&P) activities. These activities are increasing the demand for machinery, which is driving the demand for industrial roller chain drives.

Key Industrial Roller Chain Drives Market Trend

Rising technological advances in roller chains are another factor supporting the industrial roller chain that drives the market growth in the forecast period. The key manufacturers in the global industrial roller chain drive market are working toward adding innovative features to the industrial roller chain drives. This is to extend the utility of these products in extreme temperature and weather conditions. Moreover, under certain conditions, the chains are entirely maintenance-free, can be easily dismantled, and used in corrosive environments. Furthermore, these roller chain drives offer smooth operations in industrial facilities. The products offer excellent wear life qualities, which can reduce lubrication and other service-related costs. In addition, the development of new materials, manufacturing techniques, and design calculations require innovations and R&D on the part of vendors. Key vendors such as Tsubaki are creating modern technologies such as the Tsubaki Ring Coin Technology. The technology overcomes the problem of weak links in chain drives. Moreover, the R&D that the vendors undertake primarily relates to design calculations, fatigue testing, and wear tests. Such developments will continue to favor the growth of the market in focus over the forecast period.

Key Industrial Roller Chain Drives Market Challenge

The long life of industrial roller chain drives even in harsh environments will be a major challenge for the industrial roller chain drives market during the forecast period. Industrial roller chain drives are one of the best-suited equipment for mechanical power transmission in end-user industries as they are widely used in remote applications wherein harsh environments prevail. These industrial chain drives are widely used in the oil and gas, metals and

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The fume hood monitors market share is expected to increase by USD 16.03 million from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 2.29%.

This fume hood monitors market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers fume hood monitors market segmentations by type (ducted fume hoods and ductless fume hoods), application (scientific research and development, diagnostic and medical laboratories, manufacturing industry, scientific and economic consulting, and laboratory testing services), and geography (APAC, North America, Europe, MEA, and South America). The fume hood monitors market report also offers information on several market vendors, including Bionics Scientific Technologies (P) Ltd., Dwyer Instruments Inc., ESCO Technologies Inc., HEMCO Corp., Labconco Corp., SbyD, Schneider Elektronik GmbH, Stericox Sterilizer Systems India, Temperature Electronics Ltd., and TSI Inc. among others.

What will the Fume Hood Monitors Market Size be During the Forecast Period?

Download the Free Report Sample to Unlock the Fume Hood Monitors Market Size for the Forecast Period and Other Important Statistics

Fume Hood Monitors Market: Key Drivers, Trends, and Challenges

Based on our research output, there has been a neutral impact on the market growth during and post COVID-19 era. The growing pharmaceutical investments in India are notably driving the fume hood monitors market growth, although factors such as adoption of green chemistry techniques may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the fume hood monitors industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key Fume Hood Monitors Market Driver

One of the key factors driving the fume hood monitors market growth is growing pharmaceutical investments in India. The Indian pharmaceutical industry is one of the largest markets in the global pharma industry. The biotechnology industry of India comprises biopharmaceuticals, bioagriculture, bioservices, bioinformatics, and bioindustry. The industry in the country is further expected to grow by over three times in the next decade. The Goods and Service Tax implemented by the Indian government is expected to favor the pharmaceutical industry. This is expected to facilitate tax-neutral interstate transactions happening between dealers. Also, this will significantly help in increasing focus on regional hubs, thereby reducing dependency on multiple states. These aspects indicate that the Indian pharmaceutical industry will witness an increase in the development of new products as well as research. The government's support, along with its focus on drug development, will call in for more research activities in India, thereby driving the market for safety equipment such as fume hoods and subsequently driving the demand for fume hood monitors.

Key Fume Hood Monitors Market Trend

Green and sustainability initiative from fume hood manufacturers and research centers are the major trend influencing the fume hood monitors market growth. The incorporation of sustainable behavior by research institutes and centers has been in trend and is expected to have a positive impact on the environment and society. Laboratories and research centers demand high energy and resources, owing to which they become important targets for green and sustainability initiatives. Lab space commencing operations using mechanical devices such as testing equipment and fume hoods consume about five folds of energy compared with other buildings on the campus. Fume hood manufacturer Labconco has actively participated in green initiatives. The three major product lines, such as biosafety cabinets, fume hoods, and glassware washers of the company, have contributed significantly toward the LEED credits developed by the USGBC. Such initiatives and efforts by manufacturers and research centers show their dedication toward environmental-friendly acts and encourage related sectors to actively participate as well in the same. Therefore, this trend of green and sustainability initiatives that are more focused on societal and environmental betterment will drive the market for fume hoods during the forecast period, eventually creating the demand for fume hood monitors as well.

Key Fume Hood Monitors Market Challenge

Adoption of green chemistry techniques is one of the key challenges hindering the fume hood monitors market growth. Green chemistry or sustainable chemistry is a field of chemical engineering and chemistry that is focused on developing processes and products that reduce the generation and use of hazardous substances. Green chemistry reduces

The size of the COVID Testing Kits Industry market was valued at USD 16.2 Billion in 2023 and is projected to reach USD 27.76 Billion by 2032, with an expected CAGR of 8.00% during the forecast period. COVID Testing Kits Industry on the other hand grew rapidly and at a fast pace given the need for accurate testing for COVID-19 virus globally. The major products in this industry are the PCR tests, antigen tests, and antibody tests. These kits are much employed in hospital, diagnostic centers and at homes to check on existing or previous infections. New products included fast at home tests, improvement in the assay sensitivity and enhancement of reporting and data technology integration in the industry. They are the rising tendency of automation of the diagnostic laboratories, further improvement of diagnosis accuracy and decrease in time needed for certain tests, and the ever growing importance of point-of-care testing. This market is perpetually active as monitoring as well as managing the outbreak is a continuous process; given the new strains that continue to be identified in the market. On account of the pandemic, there has been increased investment in diagnostics infrastructure which will further bolster the growth of COVID testing kits market. Recent developments include: May 2022: Cipla launched a COVID-19 RT-PCR test kit in India in collaboration with Genes2Me, called RT-Direct multiplex COVID-19 RT PCR., June 2022: Genes2Me launched the CoviEasy Self-Test Rapid Antigen test kit for COVID-19 in India that is easy to use and gives faster results in 10 minutes. Backed by AI-driven Mobile App, this IVD product delivers a high level of sensitivity and concordance of more than 98% accuracy.. Key drivers for this market are: High Incidence of COVID-19 and Emerging New Strains, Increasing Product Approvals and Government Initiatives. Potential restraints include: Lower Accuracy of immunoassay-based Tests. Notable trends are: RT-PCR Assay Kits Segment Held a Major Market Share and is Estimated to do the Same Over the Forecast Period.

Abstract

The COVID-19 pandemic is first and foremost a health shock, but the secondary economic shock is equally formidable. Access to timely, policy-relevant information on the awareness of, responses to and impacts of the health situation and related restrictions are critical to effectively design, target and evaluate programme and policy interventions. This research project investigates the main socioeconomic impacts of the pandemic on UNHCR people of concern (PoC) – and nationals where possible – in terms of access to information, services and livelihoods opportunities. Three geographic regions were taken into consideration: Southern Mexico, Mexico City and the Northern and Central Industrial Corridor. Two rounds of data collection took place for this survey, with the purpose of following up with the respondents.

Geographic coverage

Southern Mexico, Mexico City, Northern and Central Mexico

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Sampling procedure

The ProGres database served as the sampling frame due to the unavailability of other reliable sources. Likewise, the sample was stratified by location and population groups based on country of origin helping to account for the different economic realities from one part of the country to another, as well as differences between nationalities. Following discussion with the UNHCR country team and regional bureau, three geographic regions were presented for consideration : a) Southern Mexico; b) Mexico City; and c) the Northern and Central Industrial Corridor. Additionally, partners expressed interest in the Venezuelan community as a separate group, primarily residing in Mexico City, Monterrey and Cancun. The population of the four groups represents 67% of the active registered refugees in Mexico. Out of the 35,140 refugee households in the four regions, 26,688 families have at least one phone number representing an overall high rate of phone penetration. Across regions of interest, Hondurans make up the single largest group of PoC in Southern Mexico (38%), and the Northern and Central Industrial Corridor (43%), whereas Venezuelans make up over half of the PoC population in Mexico City (52%). Based on the above, a sampling strategy based on four separate strata was proposed in order to adequately represent the regions and sub-groups of interest: 1. Southern Mexico – Honduran and El Salvadoran PoC population 2. Mexico City – Honduran, El Salvadoran and Cuban PoC population 3. Northern and Central Industrial Corridor – Hondurans and El Salvadoran PoC population 4. Venezuelan Population – Mexico City, Monterey (Nuevo Leon) and Cancun (Quintana Roo) A comparable sub-sample of the national population in the same locations PoC were sampled was also generated using random digit dialing (RDD). This was made possible through the inclusion of location-based area codes in the list of phone numbers, however selected participants were also asked about their current location as a first filter to proceed with the phone survey to ensure a comparable national sub-sample.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

Questionnaire contained the following sections: consent, knowledge, behaviour, access, employment, income, food security, concerns, resilience, networks, demographics