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Big data is becoming increasingly important in today’s world. With the rise of digital media and the proliferation of web-connected devices, we are generating vast quantities of data every day. This data can be extremely valuable, but it can also be very complex and difficult to manage. That’s where big data analytics comes in. 

Big data analytics tools help us to collect, store, and process large data sets so that we can extract valuable insights from them. These insights can help us to improve our businesses, make better decisions, and understand the world around us better.

There are a variety of different tools available for big data analytics, each with its own strengths and weaknesses. No one tool is perfect for every situation, so it’s important to choose the right tool for the job at hand.

The following are the top 10 Big Data stats.

  1. By 2025, the global big data analytics market is expected to generate annual revenues of $68.09 billion.
  2. The global market for big data is expected to reach $274.3 billion by 2022.
  3. Globally, in 2021, there was an estimated 79 zettabytes of data.
  4. Almost all of the data in the global datasphere has been duplicated at some point.
  5. There were already 13.6 zettabytes of data generated by global IoT connections in 2019 alone.
  6. 150 zettabytes of data will need to be processed by 2025.
  7. In 2021, software accounted for 24 percent of big data revenue, followed by hardware (16 percent), and services (24 percent).
  8. The COVID-19 pandemic saw a 400% increase in the number of data breaches.
  9. Big data application database solutions and analytics are expected to be worth $12 billion by 2027, according to a forecast.
  10. The value of the big data market is expected to increase by $30 billion between 2021 and 2022.

1. In 2021 was estimated to be around 79 zettabytes of data were generated worldwide.

As of 2021, the total amount of data generated worldwide was predicted to reach 79 zettabytes.’ This sum is predicted to grow twofold by the year 2025. There are approximately nine out of ten pieces of data in existence right now that are copies of previously existing data.


2. To reach 180 zettabytes of data by 2025, data will be generated, collected, copied, and consumed at an exponential rate.

There will be more than 180 zettabytes of data generated, consumed, copied, and stored by 2025. 64.2 zettabytes of data were generated and consumed in 2020.

Due to the COVID-19 pandemic, the majority of the global population was forced to work from home in 2020, resulting in a surge in global data production.


3. In the global datasphere, only 10% of the data is original, while 90% of the data is cloned.

Only 10% of the data in the global datasphere is unique, with 90% of it being duplicated. The unique-to-replicated data ratio is expected to rise from 1:9 to 1:10 between 2020 and 2024.


4. Approximately 65 billion WhatsApp messages are exchanged each day.

Every day, WhatsApp users send 65 billion messages. One billion groups are connected to the app, while 55 million video calls are made each day.


5. To download all of today’s web data would take a single internet user approximately 181 million years.

It would take approximately 181 million years to download all of the data currently available on the internet. More than 2.8 million years were spent on the internet in 2018. Over 2.5 quintillion bits of data are created every day.


6. Data interactions increased by 5000 percent between 2010 and 2020.

Since 2007, the amount of data being generated, harvested, copied, and consumed around the world has increased by almost 5000 percent. As a result, data usage has risen from 1.2 trillion gigabytes to 59 trillion gigabytes, a significant increase.


7. In 2020, the average internet user will generate 1.7 megabytes of data every second.

There is no end in sight to the growth of data, and the year 2020 alone saw the creation of 40 zettabytes of data. Every internet user in the world generates about 1.7 megabytes of data per second.


8. Unstructured data makes up 80–90% of the data that internet users generate each day.

Users of the internet today have access to a wide range of options for interacting with it. They can conduct their daily business via email, tablet, smartphone, or PC. Consequently, the data generated by internet users is unstructured and in a variety of formats.


9. BI and analytics software applications are expected to be worth $17.6 billion by 2024.

Software for data analysis and business intelligence will grow in the coming years, according to market predictions. The market is expected to grow from $14.9 billion in 2019 to $17.6 billion in 2024, according to projections. An estimated $210 billion in worldwide revenue will be generated by this industry, also known as the “Enterprise Application Software Market,” in 2019.


10. By 2025, the global market for big data analytics is expected to reach $68 billion.

Approximately $15 billion will be made in 2019 from the global big data analytics market. To put it another way, the market is expected to reach $68 billion in revenue by 2025, a compound annual growth rate of almost 30 percent.


11. By 2025, the global market for healthcare big data analytics could be worth $67.82 billion.

The global healthcare big data analytics market is expected to reach $67.82 billion in 2025, according to a report by Allied Market Research. Over the course of five years, this market grew at a 19.1% CAGR to reach $16.87 billion in 2017.


12. Big data workloads are being run in the cloud by 45 percent of enterprises around the world.

Cloud computing and artificial intelligence (AI) are still reshaping the digital business landscape. Nearly half of all new big data workloads ran in the cloud in 2019. According to recent estimates, the cloud is being used to run big data workloads by more than 45% of modern businesses worldwide.


13. AaaS is expected to reach $101 billion in global revenue by 2026.

All internet-based analytics software and business operations are referred to as “AaaS,” or “analytics as a service”. The user only pays for what they use in this business service model.

One of the most popular service models will be AaaS, according to experts. The global AaaS market is expected to reach $101 billion in value by 2026.


14. By 2021, the global market for marketing-related data is expected to be worth $52.62 billion.

In 2019, the global market for marketing data was valued at $34.61 billion. A total of 52.62 trillion U.S. dollars should be generated by the year 2021.


15. By 2023, the global DaaS market is expected to be worth $10.7 billion.

With DaaS, or data as a service, you can use cloud computing to provide a variety of data-related services such as data warehousing and processing. In the last few years, DaaS has become a critical part of the IT landscape.

The global DaaS market is expected to grow steadily in the future as a result of this development. It is predicted that by 2023, the market’s revenue will have grown to $10.7 billion.


16. With a share of the global big data and analytics software market of 12.8%, Microsoft is the leading vendor.

We can see a significant increase in the market share of the top vendors from 2014 to 2019 by looking at global statistics. As of 2019, Microsoft held a 12.8 percent market share in the global big data market.


17. Informatica is the market leader in big data analytics and data integration software.

Big data analytics and integration software generated $3.37 billion in global revenue in 2019. Informatica was the market leader from 2014 to 2019, growing at a steady rate.


18. In the global market for advanced and predictive analytics software, SAS is the most popular vendor.

The global enterprise analytics software market was dominated by SAS between 2014 and 2019. The company had a market share of 27.9 percent at the time of publication.


19. In terms of analytic data integration software, SAS has the most market share in the global market.

Analytic data integration software has generated $517 million for SAS this year alone. In 2019, the company had a 15.3 percent market share in analytic data integration software.


20. In 2021, the United States will have the most data centers in the world (2670).

The United States will have the most data centers in the world in 2021, followed by the United Kingdom (452) and Germany (316).

(country-by-country data center listings (Source:

21. A global data storage capacity of 8.9 zettabytes is expected to be installed by 2024.

Global installed data storage capacity is expected to increase steadily until 2024. This is based on current estimates. By 2025, the total installed base will have grown from 6.8 zettabytes to about 13.2 zettabytes (2024). 8.9 zettabytes will be the total amount of data stored in utilized storage by 2024.

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22. Cloud-based business intelligence was the most popular service in 2021, according to Microsoft Azure.

Microsoft Azure will hold 69 percent of the cloud business intelligence market share by 2021. Amazon Web Services (55 percent), Google Cloud (53.5 percent), and Oracle Cloud (25 percent) round out the top three (33.5 percent).


23. From 2017 to 2020, hybrid cloud was the most popular cloud strategy for businesses around the world.

As of the end of 2020, 82% of businesses worldwide were using a hybrid cloud strategy, a business solution that combines private and public cloud resources.


24. The amount of money spent on cloud infrastructure services and data centers will total $129.5 billion in 2020.

By 2020, companies will have spent $129.5 billion on data centers and cloud infrastructure services like the latest databases, storage, and networking solutions. That’s an increase of more than 34% over the amount spent in 2019.


25. The total global expenditure on IT data center systems could rise by 9.7 percent by 2020.

Data centers are expected to be a $196 billion market in 2021. Investment in data center systems by businesses rose 9.7% from 2020.


26. By 2025, the global colocation data center market could be worth more than $58 billion, according to a new report from Forrester.

The term “Data Center Colocation” refers to large data centers that power cloud computing resources to provide enterprises with networking connections, power, security, and data storage capabilities.

Datacenter colocations cost an estimated $31.39 billion in 2019. The revenue generated by the colocation data center market worldwide is expected to reach $58 billion by 2025.


27. 27.5 percent of businesses relied on cloud business intelligence in 2021.

27.5 percent of retail and marketing companies expect cloud business intelligence to be crucial to their operations in 2021. Cloud BI was rated as either important or critical by nearly half of businesses.


28. Since 2015, the number of hyperscale data centers around the world has more than doubled.

Global hyperscale data centers have grown by more than a factor of two since 2015. This number is expected to rise to 597 by the year 2020. By the end of 2021, the number is expected to reach 700. The United States has more hyperscale data centers than any other country in the world (39 percent ).


29. Big data is expected to play a significant role in the success of most businesses in 2021.

Many digital businesses are using the SaaS model to achieve their objectives, according to some recent research. Machine learning, artificial intelligence, cloud computing, and big data are also increasingly being used by modern companies to improve their operations and increase efficiency.

New, cutting-edge technologies enable digital businesses to outperform their rivals and discover new business opportunities, allowing them to better serve their customers.


30. Digital businesses employ at least 30.72 percent of those employing one of the four key technologies of industry 4.0.

Artificial intelligence, machine learning, big data, cloud computing, and the Internet of Things (IoT) will play an increasingly important role in Industry 4.0.

The Internet of Things (IoT) will be the most important of these four emerging technologies. In industry 4.0, nearly two-thirds of digital businesses rely on at least one of the big four technologies, if not all four.


31. 30% of big data and analytics executives have already begun digital transformation projects for 2020.

48 percent of big data and analytics leaders launched multiple digital transformation initiatives in 2020, transforming the digital business landscape. According to reports, 72 percent of modern enterprises are either leading or participating in digital transformation projects. Data sharing, ROI from data and analytics investments, and data quality are the most important considerations for organizations.


32. In 2021, 48.5 percent of businesses in the United States will use big data and artificial intelligence.

Current big data and artificial intelligence adoption are strong, according to the most recent reports. Both technologies are increasingly being adopted by leading companies in the United States and around the world. 48.5 percent of organizations rely on data to drive innovation in 2021, according to a recent study.


33. More than two-thirds of businesses expect the banking sector to be a global leader in data-driven decision-making by 2020.

Data-driven decision-making will be commonplace in many industries in 2020, with the banking sector being the most data-driven. Insurance and telecommunications are among the other sectors.


34. The United States is expected to be the global leader in data-driven decision-making by 2020, according to 77% of businesses polled.

According to 2020 statistical reports, the United States was the most data-driven country in the world, with 77% of businesses reporting this. Germany and the United Kingdom were also in the running for the top spot.


35. In 2020, competitor data was the most commonly accessed external data source, accounting for 98% of all requests.

It is predicted that in 2020, the majority of data masters will use external data sources to drive actionable insights from big data. Competitive data (98 percent), open data (97 percent), and proprietary datasets from data aggregators (97 percent) were the most frequently used external data sources (92 percent ).


36. 60% of banking companies will be using data quantification and monetization by 2020.

Global data quantification and monetization in 2020 will be led by the banking sector, with 60% of enterprises using banking products and services to drive insights and monetize data. Corporations around the world must begin developing products and services that collect data so that they can profit from it in the future.

As the name suggests, this method is all about making money off of data. Utilizing readily-available data sets to assess business performance and make better decisions is one way that companies around the world are monetizing their internal data.

Data quantification, on the other hand, is the addition of a numerical value to a measurement of data. Businesses can use statistical and mathematical calculations made possible by this method of numbering to make better real-world decisions.


37. A whopping 38% of businesses around the world plan to use smart analytics by April 2021.

Forecasts suggest that global investments in smart analytics will increase slightly in the next 12 to 18 months.

Globally in April 2021, 38% reported making decisions to invest more in smart analytics, even if it was only to a moderate extent. An enterprise’s decision-making process can be improved with the help of smart analytics.


38. Internet users generate approximately 2.5 quintillion bytes of data each day.

There was an estimated 40 zettabytes of data around the world in 2020. More than 4.39 billion people use the internet every day, generating about 2.5 quintillion bytes of data (0.0025 zettabytes), according to the most recent figures.



Thanks to the power of big data analytics, businesses can now overcome many of the challenges they face in the online world. With the help of big data statistics, businesses can predict market shifts, find more lucrative business opportunities, and improve efficiency.

In the digital age, big data and its technologies are the keys to unlocking the online world’s enormous potential. By harnessing the power of big data, businesses can stay ahead of the competition and make the most of their online presence.


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