US Tariff Impact on Market

US tariffs on semiconductor components used in data center chips could impact the overall cost of production. As the demand for GPUs and other advanced chips used in data centers grows, tariffs on components such as processors, memory units, and storage chips could raise production costs.

This price increase may be passed onto end consumers, particularly large data centers, which account for 64.1% of the market. Given the growing importance of data processing in sectors like BFSI (which accounts for 23.0% of the market), these tariffs could slow down investments in upgrading existing infrastructure.

While the North American market currently leads, the rising costs could lead to increased competition from global manufacturers, reducing the market share in the U.S. However, as demand for high-performance computing continues, these short-term challenges may be offset by long-term growth driven by the increasing reliance on cloud services and data-intensive applications.

US Tariff Impact on Sectors

• GPU Chips: 4%-6%
• Data Center Chips (General): 5%-7%
• Semiconductor Components: 3%-5%

Economic Impact

Tariffs on semiconductor components could increase production costs for data center chips, raising prices across sectors, particularly in large data centers. This would impact enterprises relying on large-scale data storage and processing, particularly in high-demand sectors like BFSI, potentially slowing the pace of infrastructure upgrades and investments.

Geographical Impact

North America, which currently leads the market with 38.4% share, may face slowed growth due to higher prices caused by tariffs on imported components. The U.S. could experience reduced competitiveness in the global market, as manufacturers in other regions with fewer tariffs could offer more affordable alternatives.

Business Impact

Businesses in the data center chip sector may face lower profit margins due to increased production costs from tariffs. Companies might be forced to pass the increased costs onto customers, which could affect demand, particularly among smaller enterprises or those in price-sensitive industries, potentially slowing market growth.

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As of June 2025, the most significant data breach incident in the United States was the Yahoo data breach that dates back to 2013-2016. Impacting over three billion online users, this incident still remains one of the most significant data breaches worldwide. The second-biggest case was the January 2021 data breach at Microsoft, involving about 30 thousand companies in the United States and around 60 thousand companies around the world.

Around ** percent of data center professionals responding to a 2023 survey said that sustainability concerns had impacted their decision-making around edge deployments to a large extent. Edge data centers are generally small in scale, making it difficult for operators to match the sustainability metrics achieved by large-scale facilities.

The GCAM-USA model was used to evaluate the incremental national and regional emission impacts of widespread electric vehicle adoption in the US through 2050. This dataset includes the model outputs that were used to develop figures and tables for the related manuscript. This dataset is associated with the following publication: Ou, Y., N. Kittner, S. Babaee, S.J. Smith, C. Nolte, and D. Loughlin. Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-Earth systems model. Applied Energy. Elsevier B.V., Amsterdam, NETHERLANDS, 300: 117364, (2021).

United States SBP: Utilities (UL): COVID-19 Impact: Large Negative Effect data was reported at 8.700 % in 11 Apr 2022. This records a decrease from the previous number of 9.300 % for 28 Mar 2022. United States SBP: Utilities (UL): COVID-19 Impact: Large Negative Effect data is updated weekly, averaging 8.400 % from Nov 2020 (Median) to 11 Apr 2022, with 36 observations. The data reached an all-time high of 21.400 % in 13 Dec 2021 and a record low of 3.500 % in 16 Nov 2020. United States SBP: Utilities (UL): COVID-19 Impact: Large Negative Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S035: Small Business Pulse Survey: by Sector: Weekly. Beg Monday (Discontinued).

In 2024, the number of data compromises in the United States stood at 3,158 cases. Meanwhile, over 1.35 billion individuals were affected in the same year by data compromises, including data breaches, leakage, and exposure. While these are three different events, they have one thing in common. As a result of all three incidents, the sensitive data is accessed by an unauthorized threat actor. Industries most vulnerable to data breaches Some industry sectors usually see more significant cases of private data violations than others. This is determined by the type and volume of the personal information organizations of these sectors store. In 2024 the financial services, healthcare, and professional services were the three industry sectors that recorded most data breaches. Overall, the number of healthcare data breaches in some industry sectors in the United States has gradually increased within the past few years. However, some sectors saw decrease. Largest data exposures worldwide In 2020, an adult streaming website, CAM4, experienced a leakage of nearly 11 billion records. This, by far, is the most extensive reported data leakage. This case, though, is unique because cyber security researchers found the vulnerability before the cyber criminals. The second-largest data breach is the Yahoo data breach, dating back to 2013. The company first reported about one billion exposed records, then later, in 2017, came up with an updated number of leaked records, which was three billion. In March 2018, the third biggest data breach happened, involving India’s national identification database Aadhaar. As a result of this incident, over 1.1 billion records were exposed.

COVID-19 vaccines are widely available in wealthy countries, yet many remain unvaccinated. We report on two studies (U.S. and France) with millions of Facebook users that tested strategies central to vaccination outreach: (1) health professionals addressing common concerns and (2) motivating “ambassadors” to encourage vaccination in their social networks. We can reject very small effects of any intervention on new first doses (0.16pp - U.S., 0.021pp - France), with similar results for second doses and boosters (U.S.). During the Omicron wave, messaging aimed at the unvaccinated or those tasked with encouraging others did not change vaccination decisions.

This dataset contains variables from the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5; Hersbach et al., 2020). These data were used for the analysis in “The impact of large-scale land surface conditions on the South American low-level jet” published in Geophysical Research Letters. Acknowledgments: This work was supported by NSF Award AGS-1852709. We thank Dr. Zhuo Wang and Dr. Divyansh Chug for their valuable feedback and insightful discussions. References: Hersbach H, Bell B, Berrisford P, et al. The ERA5 global reanalysis. Q J R Meteorol Soc. 2020; 146: 1999–2049. https://doi.org/10.1002/qj.3803

This is the dataset for the article "Does the Venue of Scientific Conferences Leverage1their Impact? A Large Scale study on Computer2Science Conferences".

Abstract:

Is there any correlation between the impact of a scientific conference and the venue where it takes place? It seems that no one has tackled this issue before, so we decided to explore the possible implications. From the one hand, we considered the number of citations as indicator of the impact of a conference; from the other hand, we considered specific touristic indexes that characterize the venue.

In this paper we report on the results of the large scale analysis we conducted on the bibliographic data we extracted from nearly 4000 conference series in the Computer Science area and over 2.5 million papers spanning more than 30 years of research. Interestingly, we found out that the two aspects are indeed related and this is shown by the detailed analysis of the data.

Code to run the experiments is available at https://github.com/lbedogni/conference-touristicity

Dataset structure

In the city folder there is all the data needed to run the correlation experiments with the touristicity values for each city.

In the country folder there is all the data needed to run the correlation experiments with the touristicity values for each country.

All the csv files, which are:

corr_city_conf_kendall.csv

corr_city_conf_pearson.csv

corr_city_conf_spearman.csv

corr_state_conf_kendall.csv

corr_state_conf_pearson.csv

corr_state_conf_spearman.csv

swp.csv

year.csv

place_of_conference.csv

Are convenience files which speed up the experiments, and which can be recreated, if needed, by running the code provided in the github repository.

The data set evaluates the relationship between water surface area and angler effort on Devil's Lake, North Dakota. Over the last 30+ years, water levels have expanded/contracted in Devil's laking owing to variation in climate (precipitation). Positive changes (i.e. expansion) in the lake surface area results in increased fish production and angling opportunities that positively influence angler effort and the local economy.

United States SB: New York (NY): COVID-19 Impact: Large Negative Effect data was reported at 26.400 % in 11 Apr 2022. This records a decrease from the previous number of 28.600 % for 04 Apr 2022. United States SB: New York (NY): COVID-19 Impact: Large Negative Effect data is updated weekly, averaging 28.700 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 32.300 % in 21 Feb 2022 and a record low of 26.400 % in 11 Apr 2022. United States SB: New York (NY): COVID-19 Impact: Large Negative Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

Version 2.0 of a coupled mechanistical grazer-vegetation model.

This is the input dataset to a Python script (https://github.com/oskeng/MF-bio-grass) used to model the effects of widespread deployment of grass in rotations with annual crops to provide biomass while remediating soil organic carbon (SOC) losses and other environmental impacts.

For more information about the dataset and the study, see the original article:

Englund, O., Mola-Yudego, B., Börjesson, P., Cederberg, C., Dimitriou, I., Scarlat, N., Berndes, G. Large-scale deployment of grass in crop rotations as a multifunctional climate mitigation strategy. GCB Bioenergy

Usage Notes:

The data file (Geopackage) can be opened using standard GIS software, preferably GRASS GIS or QGIS (both open source).This dataset is intended as input to a Python script (https://github.com/oskeng/MF-bio-grass) that must be run from within a GRASS GIS session.

The dataset was originally published in DiVA and moved to SND in 2024.

This is the replication package for "Impacts of a Large-Scale Parenting Program: Experimental Evidence from Chile," accepted in 2023 by the Journal of Political Economy.

Data Privacy Impact Narratives Market Outlook

According to our latest research, the global Data Privacy Impact Narratives market size is valued at USD 2.47 billion in 2024 and is anticipated to reach USD 9.38 billion by 2033, growing at a robust CAGR of 16.1% during the forecast period. The primary growth factor driving this market is the escalating demand for advanced data protection solutions and compliance management tools, as organizations worldwide grapple with increasingly stringent data privacy regulations and the rising complexity of digital ecosystems.

A substantial driver for the growth of the Data Privacy Impact Narratives market is the rapid proliferation of data generation across industries. With the advent of digital transformation, businesses are collecting, storing, and processing vast volumes of sensitive data, resulting in heightened risks of data breaches and privacy violations. The growing public and regulatory scrutiny around personal data usage necessitates organizations to adopt comprehensive data privacy impact solutions. These solutions enable organizations to assess potential privacy risks, document compliance efforts, and demonstrate accountability, which is crucial in the era of data-driven decision-making. Additionally, the rise of remote work and cloud adoption has further accentuated the need for robust privacy impact assessment tools that can operate seamlessly across distributed environments.

Another significant growth catalyst is the evolving regulatory landscape, characterized by the introduction and enforcement of data protection laws such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other regional frameworks. These regulations impose strict requirements on organizations to conduct privacy impact assessments, manage consent, and ensure data subject rights. The complexity and diversity of these regulations across geographies have prompted enterprises to invest in advanced software and services that offer automated compliance management, risk assessment, and incident response capabilities. This regulatory pressure is particularly pronounced in sectors like BFSI, healthcare, and government, where data sensitivity is paramount.

Technological advancements are also shaping the trajectory of the Data Privacy Impact Narratives market. The integration of artificial intelligence, machine learning, and automation into privacy impact solutions is enabling more accurate risk identification, real-time compliance monitoring, and predictive analytics. These innovations help organizations proactively address potential privacy issues and streamline reporting processes. Furthermore, the increasing adoption of cloud-based deployment models offers scalability, flexibility, and cost-effectiveness, making privacy impact solutions accessible to both large enterprises and small and medium-sized businesses. The convergence of these technological trends is expected to accelerate market growth, especially as organizations seek to stay ahead of emerging threats and regulatory changes.

From a regional perspective, North America currently dominates the Data Privacy Impact Narratives market, accounting for the largest revenue share in 2024, driven by early adoption of privacy regulations and the presence of major technology providers. Europe follows closely, buoyed by stringent data protection laws and a mature compliance culture. The Asia Pacific region is poised for the fastest growth, fueled by rapid digitalization, increasing awareness of data privacy issues, and evolving regulatory frameworks. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as businesses in these regions accelerate their digital transformation initiatives and prioritize data protection.

Solution Type Analysis

The Solution Type segment of the Data Privacy Impact Narratives market is bifurcated into Software and Services, each playing a pivotal role in shaping the overall market dynami

US Tariff Impact on Market

US tariffs on imported components used in data center physical security solutions could have a significant impact on the overall market. With the solution segment dominating the market, the increased cost of critical components such as surveillance cameras, biometric scanners, and access control systems may raise the price of these security solutions.

This could lead to higher costs for data centers, particularly large data centers, which account for 43.5% of the market share. Furthermore, the IT and telecommunications sector, a significant user of data center security solutions, could experience delays and cost increases due to tariff-related disruptions.

Although these tariffs might cause short-term price hikes, the long-term growth in demand for physical security in data centers is likely to continue as security concerns grow alongside the increasing data volumes handled by large centers.

US Tariff Impact on Sectors

• Surveillance Solutions: 4%-6%
• Access Control Systems: 5%-7%
• Biometric Systems: 3%-5%

Economic Impact

Tariffs could raise the cost of components critical for data center physical security solutions, including cameras and biometric systems. This price increase may affect both suppliers and consumers, especially in large data centers, leading to higher capital and operational costs for data storage and management facilities.

Geographical Impact

North America, being the dominant market for data center physical security, will be significantly impacted by tariffs on imported security components. These tariffs could slow down the growth of data center infrastructure, particularly in the U.S., where advanced technology and high-security measures are crucial for maintaining data integrity.

Business Impact

Businesses in the data center physical security market could face reduced profit margins as increased tariffs on imported components lead to higher costs. Smaller companies may struggle to absorb these costs, which could impact competition. Larger players may pass on the cost increases to customers, affecting overall adoption.

➤➤ Request sample reflecting US tariffs @ https://market.us/report/data-center-physical-security-market/free-sample/

No description is available. Visit https://dataone.org/datasets/doi%3A10.18739%2FA2DG7C for complete metadata about this dataset.

Associated R scripts that create manuscript and supplementary figures, as well as the data tables that correspond to the research publication. This dataset is associated with the following publication: O'Lenick, C., S. Cleland, L. Neas, M. Turner, E. Mcinroe, K. Hill, A. Ghio, M. Rebuli, i. Jaspers, and A. Rappold. Impact of Heat on Respiratory Hospitalizations among Older Adults in 120 Large US Urban Areas. Annals of the American Thoracic Society. American Thoracic Society, New York, NY, USA, 22(3): 367-377, (2025).

Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata including satellite and in-situ observations of water clarity, maximum observed lake depth, land-cover based estimates of surrounding canopy height and observed water temperature profiles (used here for validation). This unique dataset offers landscape-level insight into the future impact of climate change on lakes. This data set contains the following parameters: Thermal metrics, Spatial data, Temperature data, Model drivers, Model configuration, which are defined below.

US Tariff Impact on Market

US tariffs on imported components essential for micro data center infrastructure could raise production costs, particularly in areas like servers, cooling systems, and storage components. These cost increases could be passed on to consumers, especially impacting large enterprises that rely on extensive data storage.

While tariffs might disrupt the supply chain and cause price hikes, the growing demand for edge computing and smaller, more efficient data centers may still drive market expansion. Larger enterprises, which account for 62.6% of the market, may absorb the higher costs or source components from tariff-friendly regions, but these short-term price hikes could limit the adoption of micro data centers in smaller businesses and emerging markets.

US Tariff Impact on Sectors

• Micro Data Center Solutions: 4%-6%
• Storage Components: 5%-7%
• Edge Computing Solutions: 3%-5%

Economic Impact

Tariffs could increase the cost of critical components like servers and storage systems, raising the price of micro data centers. These higher costs may slow adoption, especially in cost-sensitive industries and smaller businesses, which could delay market growth and impact the profitability of companies operating in this space.

Geographical Impact

In North America, which holds 39.4% of the market share, tariffs could lead to higher prices for micro data centers, slowing adoption in the U.S. market. This could hinder growth in edge computing solutions and limit the adoption of micro data centers in regions with already high operational costs.

Business Impact

Businesses in the micro data center market could face margin compression due to higher tariffs on imported components. Companies may need to adjust their pricing models or absorb the additional costs, which could reduce their competitiveness. Smaller players could be particularly affected, potentially leading to consolidation in the market.

➤➤ Request sample reflecting US tariffs @ https://market.us/report/micro-data-center-market/free-sample/