About this dataset

Context

The dataset tabulates the Russia town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Russia town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Russia town was 2,268, a 0.40% increase year-by-year from 2022. Previously, in 2022, Russia town population was 2,259, a decline of 0.40% compared to a population of 2,268 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Russia town decreased by 219. In this period, the peak population was 2,603 in the year 2011. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Russia town is shown in this column.
• Year on Year Change: This column displays the change in Russia town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russia town Population by Year. You can refer the same here

Key information about Russia Total Imports from USA

• Russia Total Imports from USA recorded 1.311 USD bn in Jan 2022, compared with 1.553 USD bn in the previous month
• Russia Total Imports from USA data is updated monthly, available from Jan 1992 to Jan 2022, with an averaged value of 547.261 USD mn
• The data reached an all-time high of 2.222 USD bn in Jun 2014 and a record low of 1.430 USD mn in Jan 1992

As of March 2025, there were a reported 5,426 data centers in the United States, the most of any country worldwide. A further 529 were located in Germany, while 523 were located in the United Kingdom. What is a data center? A data center is a network of computing and storage resources that enables the delivery of shared software applications and data. These facilities can house large amounts of critical and important data, and therefore are vital to the daily functions of companies and consumers alike. As a result, whether it is a cloud, colocation, or managed service, data center real estate will have increasing importance worldwide. Hyperscale data centers In the past, data centers were highly controlled physical infrastructures, but the cloud has since changed that model. A cloud data service is a remote version of a data center – located somewhere away from a company's physical premises. Cloud IT infrastructure spending has grown and is forecast to rise further in the coming years. The evolution of technology, along with the rapid growth in demand for data across the globe, is largely driven by the leading hyperscale data center providers.

United States Immigrants Admitted: Russia data was reported at 9,297.000 Person in 2016. This records an increase from the previous number of 8,799.000 Person for 2015. United States Immigrants Admitted: Russia data is updated yearly, averaging 12,079.000 Person from Sep 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 20,771.000 Person in 2002 and a record low of 6,718.000 Person in 2010. United States Immigrants Admitted: Russia data remains active status in CEIC and is reported by US Department of Homeland Security. The data is categorized under Global Database’s USA – Table US.G086: Immigration.

Key information about Russia Total Exports to USA

• Russia Total Exports to USA recorded 968.400 USD mn in Jan 2022, compared with 1.659 USD bn in the previous Dec 2021
• Russia Total Exports to USA data is updated monthly, available from Mar 2004 to Jan 2022, with an averaged value of 888.900 USD mn
• The data reached an all-time high of 2.108 USD bn in Jul 2021 and a record low of 408.500 USD mn in Apr 2004

About this dataset

Context

The dataset tabulates the Russia population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Russia across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Russia was 724, a 1.12% increase year-by-year from 2022. Previously, in 2022, Russia population was 716, a decline of 0.28% compared to a population of 718 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Russia increased by 171. In this period, the peak population was 724 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Russia is shown in this column.
• Year on Year Change: This column displays the change in Russia population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russia Population by Year. You can refer the same here

Large Scale International Boundaries

Version 11.1 Release Date: August 22, 2022

Overview

The Office of the Geographer and Global Issues at the U.S. Department of State produces the Large Scale International Boundaries (LSIB) dataset. These data and their derivatives are the only international boundary lines approved for U.S. Government use. They reflect U.S. Government policy, and not necessarily de facto limits of control. This dataset is a National Geospatial Data Asset.

Details

Sources for these data include treaties, relevant maps, and data from boundary commissions and national mapping agencies. Where available, the dataset incorporates information from courts, tribunals, and international arbitrations. The research and recovery of the data involves analysis of satellite imagery and elevation data. Due to the limitations of source materials and processing techniques, most lines are within 100 meters of their true position on the ground.

Attributes

The dataset uses the following attributes: Attribute Name Explanation Country Code Country-level codes are from the Geopolitical Entities, Names, and Codes Standard (GENC). The Q2 code denotes a line representing a boundary associated with an area not in GENC. Country Names Names approved by the U.S. Board on Geographic Names (BGN). Names for lines associated with a Q2 code are descriptive and are not necessarily BGN-approved. Label Required text label for the line segment where scale permits Rank/Status Rank 1: International Boundary Rank 2: Other Line of International Separation Rank 3: Special Line Notes Explanation of any applicable special circumstances Cartographic Usage Depiction of the LSIB requires a visual differentiation between the three categories of boundaries: International Boundaries (Rank 1), Other Lines of International Separation (Rank 2), and Special Lines (Rank 3). Rank 1 lines must be the most visually prominent. Rank 2 lines must be less visually prominent than Rank 1 lines. Rank 3 lines must be shown in a manner visually subordinate to Ranks 1 and 2. Where scale permits, Rank 2 and 3 lines must be labeled in accordance with the “Label” field. Data marked with a Rank 2 or 3 designation does not necessarily correspond to a disputed boundary. Additional cartographic information can be found in Guidance Bulletins (https://hiu.state.gov/data/cartographic_guidance_bulletins/) published by the Office of the Geographer and Global Issues. Please direct inquiries to internationalboundaries@state.gov.

Credits

The lines in the LSIB dataset are the product of decades of collaboration between geographers at the Department of State and the National Geospatial-Intelligence Agency with contributions from the Central Intelligence Agency and the UK Defence Geographic Centre. Attribution is welcome: U.S. Department of State, Office of the Geographer and Global Issues.

Changes from Prior Release

This version of the LSIB contains changes and accuracy refinements for the following line segments. These changes reflect improvements in spatial accuracy derived from newly available source materials, an ongoing review process, or the publication of new treaties or agreements. Changes to lines include: • Akrotiri (UK) / Cyprus • Albania / Montenegro • Albania / Greece • Albania / North Macedonia • Armenia / Turkey • Austria / Czechia • Austria / Slovakia • Austria / Hungary • Austria / Slovenia • Austria / Germany • Austria / Italy • Austria / Switzerland • Azerbaijan / Turkey • Azerbaijan / Iran • Belarus / Latvia • Belarus / Russia • Belarus / Ukraine • Belarus / Poland • Bhutan / India • Bhutan / China • Bulgaria / Turkey • Bulgaria / Romania • Bulgaria / Serbia • Bulgaria / Romania • China / Tajikistan • China / India • Croatia / Slovenia • Croatia / Hungary • Croatia / Serbia • Croatia / Montenegro • Czechia / Slovakia • Czechia / Poland • Czechia / Germany • Finland / Russia • Finland / Norway • Finland / Sweden • France / Italy • Georgia / Turkey • Germany / Poland • Germany / Switzerland • Greece / North Macedonia • Guyana / Suriname • Hungary / Slovenia • Hungary / Serbia • Hungary / Romania • Hungary / Ukraine • Iran / Turkey • Iraq / Turkey • Italy / Slovenia • Italy / Switzerland • Italy / Vatican City • Italy / San Marino • Kazakhstan / Russia • Kazakhstan / Uzbekistan • Kosovo / north Macedonia • Kosovo / Serbia • Kyrgyzstan / Tajikistan • Kyrgyzstan / Uzbekistan • Latvia / Russia • Latvia / Lithuania • Lithuania / Poland • Lithuania / Russia • Moldova / Ukraine • Moldova / Romania • Norway / Russia • Norway / Sweden • Poland / Russia • Poland / Ukraine • Poland / Slovakia • Romania / Ukraine • Romania / Serbia • Russia / Ukraine • Syria / Turkey • Tajikistan / Uzbekistan

This release also contains topology fixes, land boundary terminus refinements, and tripoint adjustments.

Copyright Notice and Disclaimer

While U.S. Government works prepared by employees of the U.S. Government as part of their official duties are not subject to Federal copyright protection (see 17 U.S.C. § 105), copyrighted material incorporated in U.S. Government works retains its copyright protection. The works on or made available through download from the U.S. Department of State’s website may not be used in any manner that infringes any intellectual property rights or other proprietary rights held by any third party. Use of any copyrighted material beyond what is allowed by fair use or other exemptions may require appropriate permission from the relevant rightsholder. With respect to works on or made available through download from the U.S. Department of State’s website, neither the U.S. Government nor any of its agencies, employees, agents, or contractors make any representations or warranties—express, implied, or statutory—as to the validity, accuracy, completeness, or fitness for a particular purpose; nor represent that use of such works would not infringe privately owned rights; nor assume any liability resulting from use of such works; and shall in no way be liable for any costs, expenses, claims, or demands arising out of use of such works.

Russia: Gross Domestic Product, billions of U.S. dollars: The latest value from 2024 is 2173.84 billion U.S. dollars, an increase from 2071.51 billion U.S. dollars in 2023. In comparison, the world average is 612.35 billion U.S. dollars, based on data from 176 countries. Historically, the average for Russia from 1988 to 2024 is 1093.82 billion U.S. dollars. The minimum value, 195.91 billion U.S. dollars, was reached in 1999 while the maximum of 2292.47 billion U.S. dollars was recorded in 2013.

United States Imports from Russia of Maps, Hydrographic or Similar Charts (Printed) was US$24.7 Thousand during 2018, according to the United Nations COMTRADE database on international trade. United States Imports from Russia of Maps, Hydrographic or Similar Charts (Printed) - data, historical chart and statistics - was last updated on July of 2025.

In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

United States USF: Long Term: Russia data was reported at 96.855 USD bn in 2017. This records an increase from the previous number of 90.788 USD bn for 2016. United States USF: Long Term: Russia data is updated yearly, averaging 93.822 USD bn from Jun 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 159.246 USD bn in 2012 and a record low of 5.695 USD bn in 2003. United States USF: Long Term: Russia data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z047: Foreign Residents' Portfolio Holdings of U.S. Securities.

Russia Exports: USA: Wood Pulp or Similar data was reported at 732.000 USD th in 2017. This records an increase from the previous number of 0.000 USD th for 2016. Russia Exports: USA: Wood Pulp or Similar data is updated yearly, averaging 2,411.000 USD th from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 31,253.000 USD th in 1995 and a record low of 0.000 USD th in 2016. Russia Exports: USA: Wood Pulp or Similar data remains active status in CEIC and is reported by Federal Customs Service. The data is categorized under Russia Premium Database’s Foreign Trade – Table RU.JAD080: Exports: by 2-Digit HS Code: United States: Annual.

Key information about Russia Household Income per Capita

• Russia Annual Household Income per Capita reached 8,179.123 USD in Dec 2024, compared with the previous value of 7,549.747 USD in Dec 2023.
• Russia Annual Household Income per Capita data is updated yearly, available from Dec 1992 to Dec 2024, with an averaged value of 5,882.623 USD.
• The data reached an all-time high of 9,660.697 USD in Dec 2013 and a record low of 183.584 USD in Dec 1992.
• In the latest reports, Retail Sales of Russia grew 5.200 % YoY in Dec 2024.

About this dataset

Context

The dataset tabulates the Russia town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Russia town. The dataset can be utilized to understand the population distribution of Russia town by age. For example, using this dataset, we can identify the largest age group in Russia town.

Key observations

The largest age group in Russia, New York was for the group of age 65 to 69 years years with a population of 238 (9.45%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Russia, New York was the 85 years and over years with a population of 15 (0.60%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Russia town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Russia town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russia town Population by Age. You can refer the same here

Russia: Services value added, billion USD: The latest value from 2023 is 1149.79 billion U.S. dollars, a decline from 1240.88 billion U.S. dollars in 2022. In comparison, the world average is 242.54 billion U.S. dollars, based on data from 168 countries. Historically, the average for Russia from 1989 to 2023 is 569.51 billion U.S. dollars. The minimum value, 97.74 billion U.S. dollars, was reached in 1999 while the maximum of 1286.57 billion U.S. dollars was recorded in 2013.

United States Foreign LT Sec: UH: CS: Europe: Russia data was reported at 54.163 USD bn in Apr 2018. This records a decrease from the previous number of 62.152 USD bn for Mar 2018. United States Foreign LT Sec: UH: CS: Europe: Russia data is updated monthly, averaging 48.548 USD bn from Dec 2011 (Median) to Apr 2018, with 77 observations. The data reached an all-time high of 63.504 USD bn in Jan 2018 and a record low of 32.478 USD bn in Dec 2014. United States Foreign LT Sec: UH: CS: Europe: Russia data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z046: Foreign Long Term Securities by US Holders: By Country.

Data format and access

The database consists of full-text patient reviews, reflecting their dissatisfaction with healthcare quality. Materials in Russian have been posted in the «Review list» of the site infodoctor.ru. Publication period: July 2012 to August 2023. The database consists of 18,492 reviews covering 16 Russian cities with population of over one million. Data format: .xlsx.

Data access: 10.5281/zenodo.15257447

Data collection methodology

Based on the fact that negative reviews may be more reliable than positive ones, the authors carried out negative reviews from 16 Russian cities with a population of over one million, for which it was possible to collect representative samples (at least 1000 reviews for each city). We have extracted reviews from the one-star section of this site's guestbook, as they are reliably identified as negative. Duplicates were removed from the database. Personal data in comment texts have been replaced with "##########". The author's gender was determined manually based on his/her name or gender endings in the texts of reviews. Otherwise, we indicated "0" - gender cannot be determined.

For Moscow reviews, classification was carried out using manual markup methods - based on the majority of votes for the review class from 3 annotators (if at least one annotator indicated that it was impossible to determine, the review was classified as #N/A - impossible to clearly determine). For reviews from other cities, classification was made into 3 classes using machine learning methods based on logistic regression. The classification accuracy was 88%.

The medical specialties were distributed into large groups for the convenience of further analysis. The correspondence of medical specialties to large groups is presented in detail in Appendix 1.

Sample structure and description of variables

· CITY – the name of a city with a population of over a million (on a separate sheet – Moscow), the other 15 are Volgograd, Voronezh, Yekaterinburg, Kazan, Krasnodar, Krasnoyarsk, Nizhny Novgorod, Novosibirsk, Omsk, Perm, Rostov-on-Don, Samara, St. Petersburg, Ufa, Chelyabinsk

· TEXT – review text

· GENDER – gender of the review author (2 – female, 1 – male, 0 – cannot be determined)

· CLASS_1 – group of reasons for dissatisfaction with medical care (M – issues of medical content, O – issues of organizational support and economic aspect, C – mixed (combined) class, #N/A – cannot be clearly determined)[1]

· CLASS_2 – group of reasons for dissatisfaction with medical care (0 – issues of medical content, 1 – issues of organizational support and economic aspect, 2 – mixed (combined) class, #N/A – cannot be clearly determined)

· DAY – day of the month the review was posted

· MONTH – month the review was posted

· YEAR – year the review was posted

· DOCTOR_OR_CLINIC – what or who is the review dedicated to – the doctor or the clinic

· SPEC – physician specialty (for observations where the review is dedicated to the physician)

· GROUP_SPEC – a large group of a physician’s specialty

· ID – observation identifier

Database application

The data are suitable for analyzing patient dissatisfaction trends with medical services in Russia over the period from July 2012 to August 2023. This dataset could be particularly useful for healthcare providers, policymakers, and researchers interested in understanding patient experiences and identifying areas for quality improvement in Russian healthcare. Some potential applications include:

• Analyzing geographic patterns of patient complaints across different cities in Russia
• Examining trends in patient dissatisfaction over time
• Identifying common reasons for dissatisfaction with medical care
• Comparing dissatisfaction levels between different medical specialties
• Assessing gender differences in patient complaints

The database provides rich qualitative data through full-text review texts, allowing for in-depth analysis of patient experiences. The structured variables like city, date, doctor/clinic information, etc. enable quantitative analysis as well. This combination of qualitative and quantitative data makes it possible to gain a comprehensive understanding of patient dissatisfaction patterns in Russia's healthcare system over more than a decade.

For researchers specifically interested in healthcare quality issues, this dataset could serve as an important resource for studying patient experiences and outcomes in Russia's medical system. The longitudinal nature of the data (2012-2023) also allows for analysis of changes over time in patient satisfaction.

Overall, this database provides valuable insights into patient perceptions of healthcare quality that could inform policy decisions, quality improvement

The Gross Domestic Product (GDP) in Russia was worth 2173.84 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Russia represents 2.05 percent of the world economy. This dataset provides the latest reported value for - Russia GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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Data Center Backup And Recovery Software Market Size 2025-2029

The data center backup and recovery software market size is forecast to increase by USD 8.22 billion at a CAGR of 13.4% between 2024 and 2029.

The market is experiencing significant growth due to the exponential increase in data volume. With businesses generating and collecting vast amounts of data daily, the importance of robust backup and recovery solutions has become paramount. A key trend driving market growth is the emergence of AI-based backup and recovery solutions. This trend is driven by the digital transformation and the adoption of cloud computing, IoT, and big data analytics. However, managing the diverse data structures, types, and formats poses a significant challenge.
The heterogeneity of data sources necessitates flexible and adaptable backup and recovery solutions. Companies must invest in software that can handle various data types, ensuring business continuity and data protection. Navigating this challenge requires a strategic approach, as organizations seek to capitalize on the opportunities presented by the growing data landscape while mitigating potential risks. These advanced technologies leverage machine learning and automation to streamline backup processes, reduce human error, and improve overall efficiency.

What will be the Size of the Data Center Backup And Recovery Software Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market for data center backup and recovery software continues to evolve, driven by the increasing reliance on digital data across various sectors. With the constant growth of data, ensuring its integrity and availability becomes a top priority. Security protocols are a critical component of backup infrastructure, with data integrity checks and error logging essential for identifying and addressing issues. Disaster recovery planning and data security audits help organizations prepare for potential data breaches and ensure data governance frameworks are in place. Scalability, compliance regulations, and audit trails are also key considerations, as organizations grapple with the complexities of managing large volumes of data. For instance, a financial services firm experienced a 30% increase in sales after implementing a more frequent backup strategy and a disaster recovery site with a failover mechanism.

The industry is expected to grow by over 15% annually, as organizations invest in advanced backup solutions to mitigate risks from cybersecurity threats, hardware failure, network latency, and software vulnerabilities. Effective incident response plans, version control, and recovery strategies are crucial components of a robust data governance framework, ensuring data redundancy, optimal storage usage, and efficient bandwidth utilization. Performance monitoring and capacity planning are also essential for maintaining high availability and minimizing restore times. System logs and data redundancy provide valuable insights into system performance and help organizations respond effectively to incidents. Cloud providers and cloud computing have become popular choices for businesses due to their scalability and cost-effectiveness.

How is this Data Center Backup And Recovery Software Industry segmented?

The data center backup and recovery software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Data center operators
  Communication services providers
  Internet content providers
  Government
  Others


Deployment

  Cloud-based
  On-premises


Type

  Data center backup
  Data center recovery


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Russia
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By End-user Insights

The Data center operators segment is estimated to witness significant growth during the forecast period. Data center operators play a pivotal role in managing and providing computing resources as a service to enterprises, governments, SMEs, and startups. They offer hosting and data storage services, with major players including Equinix Inc. (Equinix), Telecity Group plc (Telecity), AWS, Zayo Group Holdings, Inc. (Zayo), and AT and T Inc. (AT and T). Over half of global data centers are operated and owned by these data center operators, significantly contributing to public cloud service offerings. Enterprises increasingly adopt public cloud services to cut IT expenses. Cloud backup storage and on-premise backup solutions are crucial components of these services.

Russia: Health spending per capita: The latest value from 2021 is 936 U.S. dollars, an increase from 771 U.S. dollars in 2020. In comparison, the world average is 1402.97 U.S. dollars, based on data from 181 countries. Historically, the average for Russia from 2000 to 2021 is 500.55 U.S. dollars. The minimum value, 95 U.S. dollars, was reached in 2000 while the maximum of 936 U.S. dollars was recorded in 2021.