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April 14, 2026
Due to the increase in the number of internet users across the globe, business operations’ digitalization, and the proliferation of smartphones and IoT devices, the amount of data generated has seen an exponential rise. Large and complex datasets that can’t be managed using traditional tools and techniques are considered big data. Big data collection and analysis provide businesses with comprehensive insights, driving innovation and effective business growth.
| It is predicted that the total volume of data produced, recorded, transferred, and used worldwide will reach 527.5 zettabytes in 2029, up from 173.4 zettabytes in 2025. | |
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| Over 18 billion text messages are estimated to be sent daily worldwide | |
| Unstructured datasets make up 90% of all enterprise-generated data and are usually large, reaching terabytes or petabytes | |
| The volume of data that large enterprises gather and store is expected to increase tenfold every year, with about 90% of that data being either unused or not properly utilized |
| Among advanced digital technologies, big data ranks third, with a 37% adoption rate in the UK, following cloud computing and AI |
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Scheme title: Motivations to adopt big data
Data source: The University of Manchester
Scheme title: Barriers to adopting big data
Data source: The University of Manchester
Scheme title: Impact of big data adoption
Data source: The University of Manchester
The global big data market and its related segments, such as big data analytics, engineering services, and big data platforms, are expected to grow in the upcoming years, driven by such factors as the increased need for data-driven decision-making and the expansion of cloud computing.
| The global big data market is forecasted to grow from $224.46 billion in 2025 to $573.47 billion by 2033 at a compound annual growth rate (CAGR) of 12.44% from 2025 to 2033. | |
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| By deployment model, cloud holds a prominent share of the worldwide big data market, accounting for 58.3%. | |
| Large enterprises are believed to be the major adopters of big data technology, with a 65.93% share of the big data technology market, while big data technology adoption by small and medium enterprises is projected to grow faster at a CAGR of 13.66% from 2024 to 2030. |
| The global big data analytics market was worth $394.7 billion in 2025 and is expected to reach $1,176.57 billion by 2034. | |
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| The global big data analytics market is forecasted to expand, exhibiting a CAGR of 12.8% from 2025 to 2034. |
Scheme title: Largest and fastest-growing big data analytics markets
Data source: SkyQuest Technology Consulting
| The US big data analytics market is projected to reach $248.89 billion by 2032. |
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Scheme title: Top 5 big data analytics providers’ (Microsoft Corporation, IBM Corporation, Oracle
Corporation, SAP SE, SAS Institute Inc.) market share against other players
Data source: Fortune Business Insights
| The big data and analytics services market is forecasted to expand to $440.03 billion by 2030, exhibiting a CAGR of 21.5%. |
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| The market for big data engineering services is projected to be worth $105.39 billion in 2026 and grow at a CAGR of 15.12% to $213.07 billion by 2031. |
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Scheme title: Big data engineering services market growth by region
Data source: Mordor Intelligence
| With a CAGR of 13.38% from 2026 to 2035, the big data platform market is projected to reach $314.35 billion by 2035, up from $101.55 billion in 2026. | |
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| With a market share of 32%, North America dominates the big data platform market, followed by Europe and Asia Pacific. | |
| Cloud-based solutions are projected to hold 79% of the big data platform market, with cloud platforms typically favored for their scalability and cost-effectiveness. |
Scheme title: Big data consulting market value in 2025 and 2030
Data source: Mordor Intelligence
Scheme title: Big data consulting market growth by region
Data source: Mordor Intelligence
Companies are increasingly applying advanced technologies like cloud, artificial intelligence, and machine learning to further streamline big data processing. While AI algorithms facilitate real-time data analysis, predictive analytics, and automation of decision-making processes, cloud big data solutions can provide accelerated software deployment and greater scalability. However, as companies embrace technological advancements, data analysts are pushed to expand their skill sets to work with big data.
At the same time, as big data analytics platforms collect large volumes of information, including sensitive data, data protection and fraud detection will come to the forefront of big data projects. Businesses will be required to develop robust big data governance frameworks and ensure compliance with data security regulations like GDPR or HIPAA.
| 48% of companies employ AI for effective big data management | |
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| The big data and artificial intelligence market is anticipated to increase from $456.35 billion in 2025 to $884.42 billion by 2029. | |
| The global big data and artificial intelligence market is forecasted to exhibit a CAGR of 18% between 2025 and 2029. |
| As of 2025, 51% of businesses said they chose public clouds for data storage | |
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| According to a poll conducted in 2025, 62% of SMBs said they kept data in the public cloud | |
| The global big data as a service (BDaaS) market is predicted to increase from $47.21 billion in 2026 to $226.81 billion in 2035, demonstrating a CAGR of 19.11% during this period. |
Scheme title: Market share of big data as a service by region
Data source: Precedence Research
| The US BDaaS market was valued at $9.94 billion in 2025 and is projected to expand at a CAGR of 19.4% from 2026 to 2035. | |
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| 64% of the BDaaS market is held by the public cloud segment, being the largest one by deployment. | |
| Large enterprises are the main BDaaS adopters, while small and medium-sized businesses are projected to adopt BDaaS at the highest CAGR from 2025–2034 |
| Data scientists will be among the top 4 fastest-growing occupations between 2024 and 2034. | |
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| A data scientist earns a median salary of $112,590 per year | |
| Data scientists are expected to see a 34% increase in employment between 2024 and 2034, which is significantly higher than the average for all occupations. | |
| Employers around the world say that the most crucial skills are big data and AI |
Scheme title: Big data and AI seen as core skills for 2025–2030 by employers worldwide
Data source: Statista
| The global average cost of a data breach reached $4.4 million in 2025, a 9% decrease over the previous year. | |
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| The widespread usage of AI in data security saves $1.9 million. | |
| 27% of business leaders named “data protection/data trust” as their top 3 cybersecurity priorities for using managed services over the next 12 months. | |
| Only 14% of security & risk management (SRM) executives can both secure organizational data assets and ensure the usage of data to accomplish business goals. | |
| Organizations are switching focus from protecting structured data to protecting unstructured data, such as text, images, and videos. | |
| The global big data security market is expected to increase from $31.85 billion in 2026 to $104.79 billion by 2034, growing at a CAGR of 16.05% during the forecasted period. | |
| North America dominates the big data security market, with a market value of $10.15 billion and 37.04% market share. |