Big Data Statistics By Spendings, Usage And Adoption
Updated · Aug 29, 2024
Table of Contents
- Introduction
- Editor’s Choice
- Global IT Spending
- Digital Transformation Spending
- Increase In IOT Connections Worldwide
- Annual Mobile Phone Data Traffic
- Annual Analytics As A Service Market Size Forecast
- Generative AI Market Size Forecast
- Worldwide Market Size Of Machine Learning
- Big Data AI Adoption Worldwide
- In-Demand Tech Skills
- Expected Increase In Demand For IT Skills
- Market Share Of Data Analytics Software
- Big Data Software Processing Market
- Web Analytics Market Share
- Business Intelligence Software Market
- Advanced Analytics And Data Science Technologies Market Size
- Social Media Analytics Market Share
- Market Share Of Marketing Analytics Technologies
- Leading Data Center Markets
- Spending On Data Centers
- Leading Countries With Data Centers
- Enterprise Cloud Strategy Worldwide
- Advantages Of Big Data
- Challenges Of Big Data
- Big Data Overview
- Conclusion
Introduction
Big Data Statistics: Big data refers to data sets that are structured to grow exponentially over time. For the most part, they are more complex than traditional datasets. At times, it becomes so huge that hardware infrastructure upgrades are required to manage the data.
Digital technology advancements have also played a vital role in making the data more complex. With the general population becoming more acquainted with technology, the significance of big data is greater than ever.
Likewise, it is essential to glance at the big data statistics to get complete information on how businesses of different scales and domains use this structured data form to resolve most corporate challenges.
Editor’s Choice
- The IT spending globally is expected to reach $5,061 billion by the end of 2024.
- IoT Connections worldwide will be around 40 billion by the end of 2027.
- The generative AI market is expected to reach USD 207 billion by 2030.
- AI and machine learning skills are the most popular and in-demand skills among recruiters as of 2023.
- USA is the leader in the data center market, with a projected investment of USD 212.06 billion by the end of 2029.
Global IT Spending
(Reference: Statista.com)
- There is a direct correlation between the significance of big data and IT industry spending.
- By referring to extensive data statistics, one finds that there is a significant growth in IT spending between the period (2005 – 2024)
- In 2005, the IT spending was $2,648 billion.
- One can find a significant spike in IT industry spending between 2020 and 2021; as seen in 2020, the expenditure was $3,872 billion, but in 2021, it rose to $4,402 billion, a rise of almost $400 billion.
- This sudden spike could be attributed to the COVID-19 pandemic, where, globally, many countries underwent lockdowns during this period, leading to work-from-home arrangements on a global scale. As a result, there was unprecedented reliance on IT infrastructure.
- By the end of 2024, global IT spending is expected to be $5,061 billion.
Digital Transformation Spending
(Reference: Statista.com)
- Even before the covid 19 pandemic broke out in 2020, companies worldwide had transitioned into digital powerhouses to achieve/retain a strong position in their respective market.
- In 2017, global spending on digital transformation was $0.96 trillion.
- By the end of 2027, the digital transformation spending is expected to reach $3.9 trillion.
- Based on extensive data statistics, there has been a significant spike between 2020 and 2021. In 2020, the revenue was $1.31 trillion, which increased to $1.59 trillion.
Increase In IOT Connections Worldwide
(Reference: Statista.com)
- Increased IoT connections worldwide is a vital component of extensive data statistics.
- By looking at the graph, it is pretty evident that IoT connections worldwide are increasing at an unprecedented pace.
- In 2022, the IoT connections worldwide were at 13.8 billion.
- By the end of 2027, the value of the connection is expected to reach around 40 billion.
- With such a high number of connections in big data, there would be a more significant requirement for an adequate, extensive data-based IT infrastructure to incorporate and manage enormous datasets.
Annual Mobile Phone Data Traffic
(Reference: Statista.com)
- By looking at the usage of mobile network data, it is possible to understand the rising importance of big data.
- By looking at extensive data statistics, one can find a vast potential for increasing the requirements for extensive data tools.
- By the end of 2023, the annual mobile traffic worldwide usage was 68.22 exabytes.
- By the end of 2029, the data usage is expected to reach the value of 228.67 exabyte usage per month.
Annual Analytics As A Service Market Size Forecast
(Reference: Statista.com)
- Analytics as a service (AaaS) is a cloud-based service providing vital access to data analytical tools and software.
- This IT-based service enables businesses to process extensive big data sets to transform them to obtain reasonable insights.
- If one refers to extensive data statistics, it is evident that they are showing a positive trajectory and are expected to be a significant component in the IT industry.
- In 2022, the AaaS market size was $18.9 trillion.
- By the end of 2028, the market size of AaaS is expected to be $68.9 trillion, which shows the significance of the growth of big data.
Generative AI Market Size Forecast
(Reference: Statista.com)
- Since the introduction of generative AI, technological tools such as Chat GPT have taken the world by storm.
- Likewise, the basis of generative AI is the analysis of large data sets, which is used to predict the most probable output per the client’s requirement.
- In 2020, the generative AI market size was a meager $5.67 billion.
- However, with ChatGPT becoming popular in 2023, the generative AI market size rose to $44.89 in 2023.
- Big data statistics reveal that by 2030, the generative AI market is expected to reach $206.95 billion, which is enormous compared to $5.67 billion a decade ago.
Worldwide Market Size Of Machine Learning
(Reference: Statista.com)
- Big data remains a core component of machine learning.
- Hence, the growth of the machine learning market directly indicates the development of machine learning tools is prominent.
- In 2020, the machine-learning market was valued at $59.27 billion.
- By the end of 2023, the machine-learning market had a value of $158.78 billion.
- In 2030, the machine-learning market is expected to reach $528.1 billion.
Big Data AI Adoption Worldwide
(Reference: Statista.com)
- The extensive data statistics reveal the wide range of adoption among entities related to the IT industry.
- As the graph reveals, driving innovation with data is consistently the highest metric, ranging from 59.5% dependency in 2018 to 77.6% in 2023.
- The development of data-driven organizations is in tandem with the aspirational aspects that involve extensive data development, with a significantly lower 28.3% dependency and an all-time high of 42.6% in 2023.
- Consistent growth in the development of data culture and competition between data and analytics are other factors that portray the positive inclusion-based indicators of big data among organizations.
In-Demand Tech Skills
(Reference: Statista.com)
- As displayed in extensive data statistics, the knowledge and skills based on big data are expected to remain a top skill.
- The following data in the graph showcases how essential big data is.
- For instance, web development, DevOps, database software, and deep learning require machine learning to be a top priority.
- Based on the data, web development and DevOps have the highest skill requirement among the recruiters, with 58% and 35%.
Expected Increase In Demand For IT Skills
(Reference: Statista.com)
- As the world is increasingly digitized, the requirement for professionals adept in machine learning and AI is expected to increase.
- If one glances through the extensive data statistics, it is evident that AI and machine learning are expected to increase by 80% in 2023.
- Data analytics and cybersecurity are the 2nd and 3rd most significant skills expected to increase by 74% and 70%.
- AI-integrated IT infrastructure, cloud computing, and collaborative problem solving are at the lower end of the spectrum based on the graph with 58%, 46%, and 33%.
(Reference: Statista.com)
- Data analytics-based software has showcased significant growth in business in recent years.
- As per extensive data, the Morning Advisor workstation has the highest market share with 23.81%.
- Riskalyze Elite, YCharts, and Kwanti hold the subsequent positions with 12.21%, 10.82%, and 5.53%.
Big Data Software Processing Market
(Reference: Statista.com)
- The big data market is vast and has various players.
- Extensive data statistics reveal that Apache Kafka has the highest market share at 16.88%.
- Apache Hadoop, Apache Apex, Presto, and Apache Spark make up the rest of the market with the following shares: 12.87%, 7.43%, 7%, and 6.91%.
- The rest of the companies make up the rest of the market share in the big data market.
(Reference: Statista.com)
- Big data is a core component of web analytics, and hence, it is essential to learn about the market share distribution of web analytics technologies.
- Based on big data analytics, Google's global site tag has the highest market share with 30.35%.
- Google Analytics, Google Universal Analytics, Facebook Analytics, and Monster Insights make up the rest of the analytics with 26.87%, 17.31%, 6.48%, and 2.85%.
- While the rest of the companies make up 16.14% percent of the market share of web analytics technologies.
Business Intelligence Software Market
(Reference: Statista.com)
- With proper analysis and utilization of big data, corporations can attain optimal business intelligence.
- Big data analysis reveals that mode has the highest market share with 24.43%.
- Other significant players in the business intelligence market are Tableau, Power BI, Microsoft SQL server, and Sap Crystal reports with 13.17%, 12.42%, 5.49%, and 4.2%.
- the remaining companies make up 40.92% of the market share and provide business intelligence-based services.
Advanced Analytics And Data Science Technologies Market Size
(Reference: Statista.com)
- Big data statistics reveal that MATLAB has the highest market share with 14.58%.
- Alteryx has 82%, HubSpot Analytics has 6.51%, Tibco Spotfire Data Science has 4.98%, and Stata has a 4.79% market share.
- The rest of the companies comprise 58.32% of the market share.
(Reference: Statista.com)
- If one refers to extensive data statistics, it is evident that link fluence has a dominant position in the social media analytics market at 64.05%.
- It is followed by Meltwater, Netwibes, social, and brandwatch with 14.47%, 7.74%, 3.18%, and 2.72% market share.
- The remaining companies make up 7.83% market share.
(Reference: Statista.com)
- Extensive data statistics show that Pinterest analytics has the highest market share at 53.23%.
- Chartbeat, parse.ly, visual Iq and IO technologies are the rest of the companies that have a substantial share in marketing analytics technologies with 6.05%, 3.47%, 3.22% and 3.03% market shares with 6.05%, 3.47%, 3.22% and 3.03%.
- The rest of the companies comprise 28% of the market share.
Leading Data Center Markets
(Reference: Statista.com)
- Based on extensive data statistics, numbers in data center markets indicate how significant the big data powerhouse is in the country.
- USA is the leader in the data center market with a $112.58 billion market.
- By 2029, the USA is expected to reach a peak market of $212.06 billion.
- China is the close second with $79.88 billion; by the end of 2029, it is expected to reach $147.07 billion.
- Collectively, Japan, Germany, and the UK are the three regions with significant market sizes in the data center market, and all three are expected to have a $30 billion market share by the end of 2029.
Spending On Data Centers
(Reference: Statista.com)
- Big data statistics reveal the rise in expenditure of big data supportive infrastructure.
- Till 2019, the investment for data center and cloud infrastructure were at par, with both having income in the range of $90 billion.
- Since 2022, the investment has been made solely on cloud infrastructure, which is $225 billion.
- By 2023, the investment in cloud infrastructure services was $270 billion.
Leading Countries With Data Centers
(Reference: Statista.com)
- The presence of several data centers in a country displays how big of a powerhouse it is.
- The big data statistics reveal that the United States has the most significant number of data centers, with 5,381.
- The following four countries in terms of the number of data centers are Germany, the United Kingdom, China and Canada, with 521,514,449,336 data centers.
- Based on the graph, it can be inferred that the United States is expected to remain a big data powerhouse in years to come.
Enterprise Cloud Strategy Worldwide
(Reference: Statista.com)
- While referring to big data statistics, it can be easily inferred that the marketing strategy is of the enterprise cloud market with a 73% share as of 2024.
- Multiple public, multiple private and single public has relatively less prominent strategies with 14% and 10% respondents.
Advantages Of Big Data
- It is essential to have holistic information about the advantages of big data.
- According to big data statistics, companies like Netflix have utilized predictive models for their products and services to obtain critical attributes for a proper dataset composition.
- Due to the high vulnerability of cyber attacks, data must be deeply structured and encrypted. As a result, big data is known to manage large amounts of structured data and thus can conveniently indicate which data sets require higher maintained budget allotment.
Challenges Of Big Data
- Among the different challenges of big data is that the technology is developed exclusively for technological storage.
- Data is expected to be evaluated based on curation and cleansing of data so that it is not corrupted.
- As of 2014, according to big data analytics, Apache Spark is expected to have the most effective methodology involving data management.
Big Data Overview
Edge computing minimizes latency and bandwidth consumption by processing data closer to the source, which makes it perfect for applications requiring real-time data processing. Big Data is still essential to the digital transformation of all businesses in 2024. It is expected to continue influencing how business and technology are conducted in the future, thanks to significant investments and expanding use.
However, companies must address issues like data security, skill shortages, and data integration to profit fully from big data. Big data is predicted to expand and become an essential tool for all businesses in the years to come as more businesses use it. Big data is still a vital source of information for many different types of companies. Consumer enhancements are anticipated to continue to flourish because of its powerful decision-making capabilities. By 2024, the big data market will grow to over $353 billion globally. This represents a substantial rise over prior years, with a compound annual growth rate (CAGR) of almost 10.5% between 2020 and 2024.
Furthermore, it is anticipated that American businesses will spend $72 billion on big data technology by 2024—an 11% rise from the year before. By 2024, edge computing will play a significant role in the Big Data ecosystem.
Conclusion
Based on big data statistics, it can be quickly concluded that it is expected to remain one of the most robust component in IT technological systems. The high amount of investments involved in big data is indicative of the fact that the technology has a prosperous future. As businesses continue to grow, the significance of big data is expected to remain.
Likewise, it will pay for more effective and intelligent systems. Hence, it can be concluded that big data will play a vital role in business growth and the development of businesses in different domains and fields in the future.
Sources
FAQ.
Big data refers to large, complex datasets that corporations use.
USA is the leader, with a presence of 5,381 data centers.
Morning Advisor workstation is the most popular, with a market share of 23.81%.
Maitrayee Dey has a background in Electrical Engineering and has worked in various technical roles before transitioning to writing. Specializing in technology and Artificial Intelligence, she has served as an Academic Research Analyst and Freelance Writer, particularly focusing on education and healthcare in Australia. Maitrayee's lifelong passions for writing and painting led her to pursue a full-time writing career. She is also the creator of a cooking YouTube channel, where she shares her culinary adventures. At Smartphone Thoughts, Maitrayee brings her expertise in technology to provide in-depth smartphone reviews and app-related statistics, making complex topics easy to understand for all readers.
