Definitive guide
Statistics on Big Data
Big Data Statistics 2025 – 85 Key Facts For Startups
Big Data has been helping businesses of all sizes to catapult their growth and become more relevant to their target market. Thus, here are 85 key facts on Big Data Statistics for startups to leverage themselves in the ever-data-driven business world they’re getting into.
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1. Big Data and business analytics global market value grew by 42.032% in 2021.
Based on the report from Gitnux and The Insight Partners, the Big Data and business analytics global market grew by $70.95 billion from 2018 to 2021, which represents a 42.032% growth.
The Big Data and business analytics global market value was reported at $168.8 billion dollars in 2018 and rose to $239.75 billion in 2021. The market is projected to increase in the next couple of years as Big Data becomes a necessity for economic growth.
2. The compound annual growth rate of the Big Data and business analytics market is projected to be 15.3% from 2022 to 2028.
Insight Partners said the Big Data analytics market size value will reach $638.66 billion by 2028, which was computed from the base year 2022. Accordingly, the Big Data business analytics market size value in 2021 was reported at $239.75 billion.
This will grow at a compound annual growth rate of 15.3%. The projected growth, the experts said, is due to the increasing demand businesses have for real-time insights to enhance customer experiences, drive efficiency in operations, and optimize processes.
3. Big Data Technology market size surpassed projections by 301.857% in 2022.
As per Gitnux, the Big Data Technology and Service market was projected to reach a global market value of $77 billion by 2023. However, the actual recorded value for the Big Data Technology market in 2022 alone was already at $309.43 billion according to GlobalNewsire.
This is a whopping 301.85% increase in projections. The said market is expected to grow at a compound annual rate of 13.6% from 2023 to 2030. The 2030 projected Big Data Technology market value is $842.17 billion globally.
4. The number of data created daily increased by 40% in 2023.
Exploding Topics highlighted that 3.5 quintillion bytes of data were created daily in 2023, an increase of 40% compared to 2020 records, when only 2.5 quintillion bytes of data were created daily.
5. Enterprise adoption for Big Data skyrocketed by an average of 247.059% increase over three years since 2015.
Records show that enterprises speedily adopted the use and benefit of Big Data for their business operations from 2015 to 2018. Based on Gitnux data, enterprise adoption was only at 17% in 2015 but soared to 59% in 2018.
This reflects a 247.059% average increase in three years due to the potential Big Data has on business development, growth, and increased investment.
6. Data creation is projected to reach a minimum of 163 zettabytes come 2025.
Experts project an exponential growth in the amount of data created due to the booming Big Data industry, amounting to 163 zettabytes by 2025. One zettabyte is one billion gigabytes. Thus, 163 zettabytes is 163 billion gigabytes.
With this projection, experts also anticipate that the volume of data that will be analyzed come 2025 will be more than 150 billion gigabytes or 150 zettabytes.
7. There was a 10% increase in the amount of data and information available online from 2013 to 2020.
Accordingly, the amount of data and information in 2013 was recorded at 4.4 billion gigabytes or (4.4 zettabytes). This grew by 10% in seven (7) years, come 2020, when it was recorded at 44 billion gigabytes (44 zettabytes). This statistical information clearly shows the profound evolution of the Big Data Industry and its leverage in business competition.
8. In 2020, 56% of business data was captured through operations.
The 2020 Seagate Rethink Data Survey revealed that more than half, or 56,% of business data is captured from its operations. The remaining 44% of data remains dormant or uncaptured. Yet, surprisingly, only 57% of the captured business data is used by the enterprise. 43% of the captured data is left unused or untapped for business development and growth.
9. Continuous Intelligence (CI) was projected to be incorporated by at least 50% of enterprises in 2022.
Gartner, a global think-tank, projected that at least 50% of enterprises will incorporate continuous intelligence in their major business systems in 2022. Gartner explained that continuous intelligence refers to real-time intelligence generated by the cloud, growth data sensors, and streaming software. It is used by enterprises to improve business decisions based on the context of real-time data.
10. The Stream Processing Market is projected to increase by 140.74% over the next four years.
Exploding Topics reported that the current sizing aggregate data for the Stream Processing Market is valued at $30 billion this 2023. This is projected to increase to $52 billion come 2027, which shows a 140.74% growth rate.
The report explained that stream processing is used by enterprises for Continuous Intelligence as it captures data in real-time for storage and analysis. With the strong demand for real-time business data, analysts expect steady growth for the Stream Processing Market.
The market sizing aggregate data is then projected to be valued at $32.27 billion in 2024 and $47.38 billion in 2025. It is projected to be $41.63 billion in 2026 and $52 billion in 2027.
11. The Stream Processing Market has been growing at an average rate of 100.23% for the last nine years.
Based on CBI Insights ‘ analysts’ consensus, the stream processing market was valued at $0.50 billion in 2015. The consensus showed that this increased to $3.08 billion in 2016 and dropped to $0.00 billion in 2017.
The Stream Processing market picked up again in 2018 when it garnered a market value of $5.34 billion. The market continued to increase to more than double or $10.30 billion in 2019 but quickly fell to $4.63 billion in 2020 due to the COVID-19 pandemic.
Finally, the steady increase of the market size value began in 2021 when it was recorded at $13.70 billion and in 2022 at $15.90 billion. This 2023 it garnered a market value of $21.60 billion and will continue to skyrocket over the next four years. Thus, the average growth rate from 2015 to 2023 was at 100.23%.
12. 36% of organizations find the surge of data in the next 3 to 5 years a hindrance to productivity.
In a survey conducted by Exploding Topics, more than a third, or 36%, of organizations, admit they find “the tsunami of data” that will be made available by 2025 overwhelming. These organizations anticipate that the influx of business data will only “overwhelm our IT infrastructure.”
They assume that this will only lead “to a loss in productivity.” While 54% anticipate their organization will “be more vulnerable to cyberattacks and data loss.”
13. 95% of organizations are preparing to “become a ‘smart’ enterprise” over the next three years.
The Exploding Topics survey also revealed that most organizations are preparing from 2023 to 2025 to “become a ‘smart’ enterprise.” The three-year preparation entails collecting and analyzing “data from across our business.” On the other hand, another 93% stated they’ll become a “data-driven organization” by 2025. They plan to make “decisions based on insights.”
14. 83% of organizations envision themselves “to become a zettabyte enterprise” by 2025.
Many organizations also revealed plans of conditioning themselves “to become a zettabyte enterprise.” By this, they intend “to keep up with the explosion of data consumption, creation, and replication” come 2025.
In addition, another 89% of organizations have already made plans to hire a chief data officer by 2025. They also intend to “increase the number of data scientists at the firm” beginning in 2023.
15. 20 billion IoT devices are expected to be in use by 2030.
There will be an immense acceleration of the Big Data industry by 2030 where experts say 20 billion Internet of Things (IoT) devices will be in operation. The said IoT devices—smartwatches, smartphones, smart home systems, and others—are used to accumulate data from various sources and aspects for data analysis, management, and security inside personal domains.
16. The Big Data and Analytics industry, along with Artificial Intelligence, is projected to have an annual value of $1.2 trillion in retail by 2025.
Retailers are projected to increase their competitive advantage through the use of Big Data, Analytics, and Artificial Intelligence in the next two years. By 2025, the Big Data, Analytics, and Artificial Intelligence is projected to have an annual value of $1.2 trillion thanks to the Retail Industry.
17. The projected growth of graph processing and graph databases is 100% annually.
In 2019, Gartner projected that graph databases and graph processing will grow annually at 100% over the next couple of years. This growth, the think tank explained, is due to the increase in data preparation.
Graph analytics, which shows the relationship of people with places and things, is used for a multitude of business needs, from fraud detection to genome research.
18. “Data governance” online search volume increased by 100% from 2019 to 2023.
According to Gartner, the need for the protection of personal data continued to increase as seen through the enactment of various laws globally.
There is a growing clamor to protect data privacy with the onset of Big Tech giants found guilty of collecting it. An example is Google, which paid $392 billion last November 2022 for illegally collecting from various individuals their location data.
Records from 2020 show that only 10% of personal data worldwide is protected by privacy laws. This, however, will change as it is expected to increase by 75% come 2024.
19. 50% of cloud new system deployments will become a cohesive “data ecosystem” by 2024.
Gartner identified that data ecosystems will experience a shift to full cloud-native solutions from blended or independent software deployments. The renowned organization revealed this during the Gartner Data & Analytics Summit last July 31, 2023 in Sydney.
Accordingly, point solutions that are integrated manually into the cloud will disappear. Gartner said 50% of cloud new deployment systems will then become a cohesive data ecosystem by 2024.
20. Edge system point of capture will occur by at least 55% for all deep neutral networks’ data analysis come 2025.
Gartner also revealed at the Summit that there will be a 10% increase in edge environment point of capture by 2025 compared to 2021. This means that at least half, or 55%, of deep neural networks will perform their data analysis from the very point of capture of an edge system.
21. In 2020, only 2% of the data created and used was kept and retained in the succeeding year.
Statista published last August 2023 that a very small percentage (2%) of data created and used in 2020 was actually kept for use in 2021. That is 1.284 zettabytes of the 64.2 zettabytes of data globally captured, copied, and used in 2020.
22. Worldwide data creation is projected to grow by 180.374% in 2025.
The 64.2 zettabytes of data created worldwide in 2020 is projected by experts to reach 180 zettabytes by 2025. Accordingly, this growth in data creation was the result of the COVID-19 pandemic when home learning and entertainment options increased.
23. Data storage capacity installed base is foreseen to increase at a compound annual growth rate of 19.2% until 2025.
The increasing demand for data creation and consumption is similarly driving an increasing demand for data storage worldwide. Statista projected that the data storage capacity installed base will increase due to the increase of data volume at a compound annual growth rate of 19.2% until 2025 with 2020 as the base year. In 2020 alone, the data storage capacity installed base was recorded at 6.7 zettabytes or 6.7 billion gigabytes.
24. Experts say the number of Internet of Things (IoT) connected devices will increase by 92.053% in 2030.
In a July 2023 report, Statista highlighted that there will be a big influx of Internet of Things (IoT) devices like smartphones by 2030. It is estimated that by then 29 billion IoT devices will be in circulation, a 92.053% leap from 2020’s 15.1 billion. Currently, IoT devices are used across consumer markets and major industry verticals such as government, retail and wholesale, and transportation.
25. China is expected to have 27.59% of IoT devices by 2030.
Experts also predict that 27.59% of the projected 29 billion Internet of Things (IoT) devices will be found in China by 2030. This translates to 8 billion consumer devices that include those used for internet and media like smartphones.
26. IoT-connected devices used in the consumer market are expected to increase by 87.4% in 2030.
There were 9.06 billion Internet of Things (IoT) devices in the consumer market last 2020. This comprise 60% of the 15.1 billion recorded IoT devices for all markets and major verticals in the world in 2020. Experts predict that this number will become 17 billion by 2030 for the consumer market. Currently, there are more than 100 million connected IoT devices used in major industry verticals.
27. The Global Internet of Things (IoT) Market will experience a compound annual growth rate of 26.6% until 2024.
According to Energias Market Research, there will be an important growth in the Global Internet of Things (IoT) Market from 2018 to 2024. They projected that the compound annual growth rate of the said market will be 26.6% until 2024 with a value of $6.5 trillion.
The projection was based on 2017’s $1.2 trillion Global IoT Market value and a host of factors including data processing cost efficiency and increasing internet usage, among others. Energias explained that the Global IoT market includes real-time streaming analytics, data management, and remote monitoring systems.
28. There are 9,380 data centers in the world as of September 2023.
Based on a Statista survey, there are a total of 9,380 data centers in the world as of September 17, 2023. These data centers are spread across 15 countries the from the five continents of the globe. A bulk of these countries come from North America at 5,710 data centers (60.874%).
This is followed by Europe at 2,218 data centers (23.65%). On the other hand, there are 817 data centers (8.710%) in Asia, 329 data centers (3.51%) in South America, and 306 data centers (3.262%) in Oceania, which is particularly located in Australia.
29. 57.302% of data centers in the world is located in the United States.
The United States leads the world in having the most data centers at 5,375 as of September 17, 2023. This comprises 57.302% of the 9,380 data centers in the world. Germany only comes only second at 522 data centers (5.57%), which is far behind by 4,853 data centers compared to that of the United States’.
While the United Kingdom ranks third with 517 data centers (5.511%) and China ranks fourth with 448 data centers (4.78%). Canada is the last country in the top five most number of data centers in the world, at 335 (3.571%).
30. 13.48% of data centers in Europe come from the Netherlands.
As of September 2023, there are only seven countries in the entire European continent with data centers used as storehouses for Big Data. The Netherlands ranks 4th among European countries, comprising 13.48% of the 2,218 data centers on the continent.
Germany, which ranks 1st among European countries, comprise 23.534% or 522 data centers. The United Kingdom ranks 2nd with 517 data centers (23.31%) with France not far behind at 314 (14.16%). Russia takes the 5th spot at 255 data centers (11.50%) and Italy ranking 6th with 168 data centers (7.574%). Poland is the 7th with 143 data centers (6.45%).
31. China encompasses 54.834% of data centers in Asia.
There are only three data centers in Asia as of September 17, 2023. These are China, Japan, and India. Of the three countries, China encompasses 54.834% of data centers in Asia with 448. Japan, on the other hand, encompasses 26.68% of data centers in Asia with 218. India has 151 data centers, which comprise 18.48% of data centers in the said continent.
32. Brazil has the least number of data centers among American countries with 163 as of September 2023.
There are 6,039 data centers in the continents of North and South America. Of these data centers, Brazil ranks the lowest with only 163. This comprises 49.544% of the total number of data centers in the two continents and 2.70% in South America. The United States encompass 89.004% of data centers in the two continents and 94.133% of data centers in North America.
The rest of the American countries have the following number of data centers: Canada with 335 (5.55% of the two continents and 8.67% of North America) and Mexico with 166 (2.75% of the two continents and 50.46% of South America).
33. 39% of data strategy and results are under the responsibility of the Chief Data Officer (CDO).
According to a 2018 NewVantage Partners survey, there are different people responsible for an enterprise’s data strategy and results. These are the Chief Data Officer (CDO), which handles 39% of the responsibility; the Chief Information Officer (CIO), which handles 16%; and the Chief Analytics Officer (CAO) or Chief Data Scientist (CDS), which handles 9%. There are other C-suite executives that do 13% of the responsibility for data strategy and results. While 24% are handled by people with no single point of accountability.
34. A 26,566.7% increase was seen in the number of Chief Data Officers in the world as of 2017.
The number of Chief Data Officers (CDOs) in the world jumped from 15 in 2010 to 400 in 2014, a four-year duration. This number skyrocketed to more than 4,000 CDOs across a number of roles in large organizations in 2017, which represents a 26,566.7% increase since 2010.
35. Only 3% of CDOs in the world reach a 12-year tenure as of 2017.
A 2017 survey from Gartner showed that despite the boom in demand for Chief Data Officers (CDO) in the world, only a very small percentage last long in organizations. The survey showed that 3% of CDOs last for 7 to 12 years in a company while most or 83% stay for 1 to 3 years. While 14% of CDOs render a 4 to 6 years tenure.
36. Big Data volume worldwide is expected to grow by 116.48% in three years.
Statista reported that the global total data volume is projected to hit 182 zettabytes (182 billion terrabytes) this 2025. On top that, this volume of total data is foreseen to become 394 zettabytes (394 billion terrabytes) by 2028, reflecting a 116.48%% increase.
37. Big Data volume worldwide in 2024 totaled 149 zettabytes.
The total volume of data created, captured, replicated, and consumed in 2024 reached 149 zettabytes (149 billion terrabytes). Accordingly, this is still an overflow of the effects of the COVID-19 Pandemic, which brought in a new online-based lifestyle for consumers. The growth in big data volume worldwide from 2024, when compared to 2028 projections, will show a 164.43% increase.
38. The IoT #1 driver of Big Data volume growth worldwide in 2025 to 2028.
Analysts pinpointed the Internet of Things (IoT) as one of the main propelers in the expected growth of the total volume of data created, captured, replicated, and consumed until 2028. IoT devices—smart devices from watches to TV monitors and traffic lights—saw a surge in demand since the COVID-19 Pandemic began.
The integration of IoT devices in household appliances, entertainment platforms and media, and industrial equipment provided for higher connectivity and real-time data collection and processing. The quantity of IoT devices is even anticipated to reach 32.1 billion in 2030 due to this surge in demand and facilities.
39. Global spending for IoT devices, a primary tool for Big Data collection and analysis, was $260 billion in 2024.
A total of $260 billion was spent worldwide for Internet of Things (IoT) devices in 2024. These devices enable automation and greater security in its use despite being connected to the World Wide Web. This is only 23.63% of the actual projected global spending for IoT devices in 2022, which was $1.1 trillion.
40. Worldwide spending for “smart cities”—geographical areas that use Big Data tools and platforms for operation and management—reached $104 billion in 2019.
A primary tool in real time data collection and anaysis, IoT funding to create “smart cities” amounted to $104 billion worldwide in 2019. While European organizations investing in IoT initiatives totaled 2,552 in May 2020 with generated funds totaling $5 billion.
41. Global shipment for smart home devices—Big Data-enabled gadgets and appliances—seen to grow by 407.16% in 2025.
Statista projected the shipment for smart home devices worldwide would reach 1.77 billion in 2025. This is up by 407.163% to the total shipment for smart home devices worldwide five years ago, which was only at 349 million.
Accordingly, the Smart Home Devices Market is divided into four segments: Smart Home Automation, Smart Home Metering, Smart Appliances, and Smart Entertainment. All of these devices are connected to the internet (IoT), which enables the collection and analysis of data to provide a more user-centric functionality or features real-time or for future product manufacturing.
42. A 102.52% projected increase in the global shipment for smart home devices for over two years.
There were 874 million units of smart home devices shipped globally in the 3rd Quarter of 2022. As such, one can expect to see a 102.517% increase in the global shipment for smart home devices in 2025. This is based on the 1.77 billion expected global shipment for the said Big Data-enabled devices and appliances in 2025.
Comparatively, there was a 150.43% increase in global shipments from the 349 million units in 2020 to the 874 unites in 3rd Quarter 2022.
43. 33.87% of smart home devices shipped in 3rd Q 2022 were video entertainment devices.
Records show that most of the units shipped globally in the 3rd quarter of 2022 were video entertainment devices totaling 296 million. This is 33.87% of the 874 million units shipped globally for the period.
44. Consumer spending for Big Data-enabled gadgets, devices, and services projected to surpass $170 billion in 2025.
The consumer sector is the biggest segment of the Big Data Market, comprising 60% as of 2022. As such, consumer spending for IoT devices like smart home appliances and services is foreseen to exceed $170 billion in 2025.
The number of households with smart home systems worldwide is expected to exceed 400 million for 2025 due to this. Smart home systems allow consumers to manage their homes remotely through the aid of a mobile device or computer.
In addition, it allows for home automation such as automatic lighting and heating systems on top of entertainment systems. Most popular of which are smart speakers, which have voice-command and virtual assistant features.
45. Big Data experts foresee a 317.76% global increase for smart speaker sales in 2025.
Big Data analysts say that smart speaker sales will rocket to 409.4 million units in 2025, showing a 317.755% increase to 2019 records. Shipment for smart speakers were projected at 98 million in 2019, due to its voice automated features and virtual assistant abilities.
Smart speakers are entertainment devices connected to the internet (IoT) and can be commanded to search information through voice command, which makes it a Big Data-enabled device.
46. 25% of IoT cellular connections worldwide belong to the automotive sector.
The automotive sector, which has integrated Big-Data-enabled devices through Global Positioning Services and voice automated features in driving, is expected to increase in 2025 by 25%. Experts say the increase in demand for smart or “autonomous vehicles” and the wide provision of 5G technology are contributors to the increase of IoT cellular connections for the automotive sector.
47. There will be a 120% increase in the worldwide market value of smart agriculture—a sector where Big Data to enhance crop productivity and issues—by 2027.
Based on Statista data, smart agriculture market value worldwide will grow by 120% in 2027 to $33 billion. This is up from $15 billion in 2022, when funding for agricutural technology happened to decline to $30 billion.
Previously, agritech funding rose by 300% from 2017 to 2021 totaling more than $53 billion. Smart agriculture uses devices that allow precise automation for fertilization and agriculture to achieve the sustainable production of food.
48. 66% of global employers in ITTS expect knowledge in Big Data as one of the core skills of workers until 2030.
In a survey conducted by Statista involving 1,000 employers across the globe, results show that the industries with the greatest expectation among workers for Artificial Intelligence (AI) and Big Data knowledge are the Information and Technology Services and the Telecommunication at 66% each.
While the Financial and Capital Markets industry came in second for having a 61% expectation for workers. Ranking third is the Insurance and Pensions Management Industry at 58%. All these industries are Information and Technology-dependent, prompting their owners to have the highest expectation of the said core skills displayed by workers within their enterprises.
49. Only 25% of the Mining and Metals Industry expect workers to have knowledge in Big Data as a core skill of workers until 2030.
Among the 22 industries that were surveyed from May to September 2024, 25% of the Mining and Metals Industry showed the least expectations for workers to have AI and Big Data core skills. Joining this industry in belief for worker competency for the future are businesses in the Accomodation, Food, and Leisure Industry at 26%.
50. 34.29% of non-IT related industries on average have a low expectation of workers to have Big Data as a core skill until 2030.
There are seven non-Information Technology related industries with a low expectation of workers to show AI and Big Data knowledge as part of their core skills. On average, these industries expect an average of 34.29% of their workers to have these as part of their core skills from 2025 to 2030.
These industries are Oil and Gas (31%); Energy Technology and Utilities (31%); Agriculture, Forestry, and Fishing (33%); Chemicals and Advanced Materials (34%); Advanced Manufacturing (35%); Professional Services (37%); and Infrastructure (39%).
51. An average of 42.8% businesses engaged in Consumer Goods and Services have moderate expectation of workers to have Big Data as a core skill until 2030.
There are five consumer goods and services-related industries with a moderate expecation of workers to have knowledge in AI and Big data. These are the Retailers and Wholesalers of Consumer Goods (41%), Producers of Consumer Goods (42%), and Real Estate (43%).
Then there are the Supply Chain and Transportation (44%) and Electronics (44%) industries. On average, 42.8% of these industries expect their workers to have the aforementioned knowledge as part of their core skills that will be implemented in their enterprises from 2025 to 2030.
52. An average of 53.8% of several industries perceive Big Data as one of the core skills to have from 2025 to 2030.
There are five industries who have a high expectation for workers to exhibit AI and Big Data as core skills while in their enterprises from 2025 to 2030. These are Government and Public sector (50%), Medical and Healthcare Services (51%), and Automotive and Aerospace (54%).
The industries engaged in Education and Training (56%) and Insurance and Pensions Management (58%) also share the same sentiments for their workers while in ther respective enterprises. Overall, these translates to 53.8% of these industries, on average, having this expectation in mind during recruitment and hiring process.
53. 42% of the global big data market is used for the healthcare sector.
A research conducted by Statista in 2018 showed that almost half (42%) of the global big data market will be used for the health care sector by 2025. This is in so far as the analytics services market share is concerned, which is engaged in Medical Technology and Industrial Machinery used for healthcare.
54. IBM has the most powerful quantum processor in the world as of May 2025 with at least 1,000 qubits.
Big Tech giants have jumped into quantum computing since 2010 and have been continuously vying for the title “quantum supremacy”, one of which is International Business Machines Corporation aka IBM. This is in the face of the ever increasing usage of Big Data across businesses in the world.
IBM, the pioneer in quantum computing, launched last year its Condor chip that is able to process 1,000 qubits or quantum bits. Qubits are the unit of measure for encoding data in quantum computing.
55. CTQG has the second most powerful quantum processor in the world as of May 2025 with 504 quibits.
CTQG or China Telecom Quantum Group in partnership with the Chinese Academy of Sciences developed Tianyan-504 to offer customers quantum-as-a-service on its cloud computing platform. According to Bernard Marr & Co., most of the investors in the quantum processing segment come from China such as IonQ, QuantumCTek, and the University of Science and Technology of China (USTC).
56. Zuchongzhi-2 was the fastest quantum processor in the world in 2023 with 105 qubits in 20 seconds.
In a bout for quantum supremacy, the University of Science and Technology of China (USTC) released the Zuchongzhi-2 quantum computer in 2023 that is capable of processing qubits in as fast as 20 seconds.
Zuchongzhi-2 beat Google Quantum AI’s Sycamore, which could process quibits in 200 seconds since 2010. Zuchongzhi-3 was released in 2024 with 105 qubits capability. Google Quantum AI released in the same year an update to its Sycamore, which now has a 67 qubits capability.
57. 5 trillion is the minimal number of searches Google expects to process in 2025.
Google’s capability of processing trillions of information per second is due to its powerful quantum processors. As such, the Big Tech giant anticipates to process 5 trillion searches a year. This is equivalent to 13.6 billion searches a day or 189,815 searches per second, as per Exploding Topics.
58. The quantum processing market is expected to increase by 33.33% until 2030 due to the demand for Big Data.
According to Investors.com, data analysts project the quantum processing market to have a value of $20 billion by 2030. This reflects a 33.33% increase to the value of the quantum processing market from 2025. Quantum computers are powerful due to it using better data encryption technologies and cybersecurity systems.
59. 52.65% of all Google Searches are informational in nature in 2024.
The vast need for information fueled most (52.65%) of the searches Google processed in 2024, SparkToro identified in its research. While a third (32.15%) were navigational in nature. Commercial and Transactional intent was the reason behind Netizens logging on to Google at 14.51% and 0.69% of the time, respectively.
60. 55.82% of transactional searches on Google where generic in nature in 2024.
Online consumers using Google to purchase or transact online do so either with a brand in mind or none at all. In fact, majority of transactional searches (55.82%) were generic searches. Only 44.19% of transactional searches were made by Netizens for a specific brand.
An example is the use of the keyword “credit union” versus “Navy Federal Credit Union” used online within January 23 to September 24, 2024. “Credit union” was used as a keyword for Google searches for 3,126 times. While “Neveral Federal Credit Union” was more than twice as many at 8,502.
One can easily see how Google is able to use its search platform to collect and analyze particular consumer behavioral data so it can refer relatable advertisements and online content to it. This does not even include voice search.
61. The Global Voice Search Market is projected to have a 19.2% CAGR until 2032.
Voice search is a growing alternative of finding information online through Google or other search engine platforms. As such, the global voice search market is expected to have a compound annual growth rate (CGR) of by 19.2% from 2022 to 2032. The global voice search market is anticipated to have a market value of $112.5 billion by then.
62. 73% of the Global Voice Search Market generated in 2022 was not AI-based.
In 2022, the value of the Global Voice Search Market reached $20.3 billion. A majority (73%) of which were generated by Netizens in search of information and only 27% were generated by Artificial Intelligence (AI). The trend in the use of AI in voice search provides new opportunities for marketers to harness consumer behavior and interests and predict their future decisions online, which is the core power of Big Data.
63. Big Data demand foreseen to push growth in storage capacity installed base by 19.2% in 2025.
The increase in the amount of data captured, created, replicated, and consumed globally is driving the surge in storage capacity installed base by 19.2% in 2025. This growth rate projection relied on the 6.7 zettabytes used for the installed base of storage capacity in 2020.
64. Big Data revealed that 53.72% of global data traffic as of April 2025 come from videos.
Videos account for more than half (53.72%) of the world’s data traffic as of April 2025. To begin with, 51% of Facebook’s shared content are videos. Other social media platforms like TikTok and YouTube are almost 100% videos.
65. Big Data identified that only 3.74% of global data traffic as of April 2025 come from audios.
The smallest contribution to the global data traffic come from audio files at 3.74%. This shows the Netizens are more visual creatures and prefer entertainment of this type over solely audio ones. Next to audios, Virtual Private Networks (VPNs) are the second-least contributor to global data traffic as of April 2025, comprising 1.39%.
66. Big Data revealed that a combined 6.47% global data traffic come from file sharing and cloud storage as of April 2025 .
As of April 2025, cloud storage comprise 2.73% of global data traffic. File sharing, on the other hand, contribute 3.74% to the global data traffic for the same period. While 4.54% of global data traffic was generated by online marketplaces, Exploding Topics said.
67. Big Data generation will grow 10x in 2025 to 163 zettabytes.
As per the Seagate-IDC Data Age report, the global datasphere will grow to 1,630 terrabytes or 163 zettabytes in 2025. This is 1,000% higher than the amount of data generated in 2016, which was 16.1 zettabytes only. The report pointed out that this is enough data to unlock new business opportunities and unknown user experiences.
68. 30% of Big Data will become “critical” in 2025.
Experts projected that Big Data will surface from the business background to a critical aspect of consumer life in 2025. In fact, 20% of data will be regarded as life-critical and 10% of data will be considered hyperctical (10%) starting the said year.
By “critical”, this pertains to data that are necessary in the progression of a user’s daily life. This type of data is projected to have a compound annual growth rate (CAGR) of 39% from 2015 to 2025.
69. The CAGR of “potentially critical” Big Data until 2025 is 37%.
As per the Seagate-IDC Data Age report, the compound annual growth rate (CAGR) of data considered as potentially critical from 2015 to 2025 is 37%. “Potentially critical” data pertains to data that are necessary for the creation of a continued and convenient daily life for its users.
While all data that will be generated in the global datasphere will have a compound annual growth rate of 30% for the same period.
70. The CAGR of “hypercritical” Big Data until 2025 is 54%.
“Hypercritical data” is defined by IDC is data whose impact on the health and wellbeing of its users are immediate and direct. These type of data, accordingly, will have a compound annual growth rate of 54% from 2015 to 2025.
Examples of which are data generated by and for the travel industry to analyze and refine the safety of passenger information that are heavy in meta data and other data from integrated or embedded systems.
71. Data engagement per person using IoT devices is every 18 seconds in 2025.
A person with an IoT device is projected to use it once every 18 seconds or 4,785 times daily in 2025, reflecting a 5,529.41% in data engagement 15 years ago. Data engagement in 2010 was 85 times daily. IoT devices provide the means to harvest Big Data in large amounts to improve systems and processes never thought of possible. As such, Big Data will indeed become a part of every aspect of daily life.
72. Data engagement per person using IoT devices will rise by 2,094.95% in 2025.
Based on the data from the Data Age 2025 Study, the number of interactions per capita per day of a person connected to the internet (IoT) in 2015 was 218. This, compared to the projected number of interactions per capita per day in 2025 of 4,875 times, translates to a 2094.95% increase in over a decade.
The number of interactions per capita per day of a person connected to the internet in 2020 was 601, revealing a 175.688% increase to that of 2015 or in over five years.
73. Data engagement per person using IoT devices will rise by 696.173% in over 5 years.
The number of interactions per capita per day of a person connected to the internet in 2020 was 601. Compared to 2025 projections, this reflects a 696.173% in over 5 years.
74. IoT devices will generate 95% of real-time data that will be available in 2025.
Experts anticipate 25% of data in the global datasphere will be created in real-time by 2025. Of this data, a majority (95%) will come from IoT data—those created by devices and systems connected to the internet.
75. Cognitive systems are estimated to handle 1.4 zettabytes of data in 2025.
Cognitive systems—comprised of artificial intelligence, natural language processing (NLP), and machine learning—are expected to handle 1.4 zettabytes of data in 2025. This comprises 26.92% of the quantity of the global datasphere that will be subject to data analysis for the perod, which is 5.2 zettabytes.
76. 90% of all data created in 2025 will need to use security measures.
As the volume of data created increases in 2025, experts point out the need to roll out security measures for the privacy of personal information and other vulnerable information. This is why experts predict that a majority (90%) of data created in the global datasphere be subject to security measures of some sort. Experts also anticipate that only 50% of these data will actually be protected.
77. Big Data usage of public cloud storage will be 2x more in 2025.
Experts also foresee the increase usage of cloud storage in 2025, which is twice as what was consumed in 2016. Specifically, there will be a 26% increase in the volume of data that will be delivered, processed, or stored by public cloud datacenters for the said nine-year period.
78. 66.67% of financial firms in the world will fuse cognitive data from third parties in 2025.
The need to improve customer experience through fraud protection and targeted offerings of products and services will drive financial firms from across the globe to fuse third-party cognitive data to their own. The application of these cognitive data involves the various aspects of customer lives such as AI-based fraud detection in credit card usage and AI-based manpower for insurance claims.
79. Only 15% of Big Data will be identified or tagged in 2025.
Data tagging pertains to setting identifiers for collected information to make it easier to organize, understand, and create value from it. Not all data collected and organized are actually tagged and analyzed.
This is why experts project that only 15% of data collected in the global datasphere will actually be identified or tagged in 2025. Of those actually tagged, only 20% will ever be analyzed for use.
80. The average annual salary of a Big Data Engineer in 2025 is $120,715.
Based on research provided by Coursera, the average annual salary of a Big Data Engineer in 2025 is $120,715. The basis of this salary are the reports given by GlassDoor ($101,329), Salary.com ($152,855), ZipRecruiter ($131,001), and Payscale ($97,675), which are renowned job boards. The annual salary range is primarily dependent on expertise, location, and industry, among other factors.
81. San Francisco, California provides the highest annual salary base for Big Data Engineers in 2025 at $134,832.
According to GlassDoor, Big Data Engineers in San Francisco, California expect to receive the highest annual salary in 2025 compared to other locations in the United States. Big Data Engineers in the said locality have an annual salary base of $134,832.
The other top-paying locations in the said country are Los Angeles, California ($118,218); Seattle, Washington ($114,809); New York, New York ($107,689); and Miami, Florida ($106,571).
82. Big Data Engineers in Israel received the highest annual salary in 2024 at $92,138.88.
Big Data Engineers in Israel outranked those who work in 10 other countries in the world including Canada and the United Kingdom. Based on February 2024 data, Big Data Engineers in Israel received an annual salary of $92,138.88. This was immediately followed by Big Data Engineers in Singapore who received an annual salary of $71,077.35 for the period.
Big Data Engineers from Japan ($68,795.19), Canada ($68,352.68), Germany ($66,759.24), Australia ($66,612.59), United Kingdom ($58,092.05), and Netherlands ($46,676.93) came next in ranking.
83. Big Data Engineers with more than eight years experience get a base annual salary of $214,918.
Big Data Engineers vary in annual salary primarily because of work experience and expertise. Accordingly, those who have been working for more than eight years and who already have a high position in the company such as a Vice President of Data Engineering are estimated by GlassDoor to have an annual salary base of $214,918.
Those with more than eight years of work experience that have acquired a Director of Data Engineering position in the company are estimated to have an annual base salary of $189,713. While those with a similar length of experience but have a Principal Data Engineer post are estimated to have an annual salary base of $163,898 as of February 2024.
84. Big Data Engineers with five to seven years experience get a base annual salary of 144,759.
Big Data Engineers with five to 7 years work experience and who have a position of Lead Data Engineer are estimated to enjoy an annual salary base of $144,759 as of February 2024. Big Data Engineers with two to four years work experience are estimated to receive an annual salary base of $106,766.
85. Big Data Engineers working as Data Architects receive the highest annual salary base of $142,019 as of 2024.
The salary received by Big Data Engineers also vary depending on the type of their specialization and scope of work. Thus, as of February 2024, the highest pay received by a Big Data Engineer according to scope of work was for a Data Architect at $142,019.
A Machine Learning Engineer is said to have received an annual salary base of $123,492 for the period. The next in rank in terms of payscale are Business Intelligence Analysts ($119,285), Data Scientist ($118,813), Software Engineer ($118,568), Database Administrator ($110,597), and Data Engineer ($106,766). A Business Analyst ($93,927) and Data Analyst ($86,214) are at the bottom of the payscale ranking.
FAQs
1. What is Big Data?
Big Data refers to a complex set of information mined from various sources on the internet by different organizations. By complex set, this means that the information gathered could be structured, semi-structured, or unstructured. Mining of data is through software and this is interpreted by specialists through data analytics.
2. Why is Big Data important?
Big Data is important because organizations use it to interpret information on consumer behavior and how it helps to achieve particular business goals. It is also used to provide business insights for better productivity, lower operation costs, and competitive market advantage, among others. In gist, it helps organizations to be more efficient and businesses to be more successful in their respective industries.
3. Do startups need Big Data, too?
Definitely! As mentioned, Big Data is useful for a business’s success and overall efficiency. Startups need Big Data as leverage over their competitors.
According to Goodwork Labs, Big Data will help startups get better business insights and improve team productivity. It is also helpful in streamlining information to a company’s various departments.
Moreover, Big Data is most useful in creating better marketing campaigns and formulating strategies for personalized customer attention.