Data & analytics statistics 2022

Get your hands on 15 statistics about data and analytics from leading analysts and research houses.


Data analytics market

The 2.5 quintillion bytes of data we create every day is useless unless we crunch it using big data analytics. (Finances Online)

By 2025, annual revenue from the global big data analytics market is expected to reach $68.09 billion. (Statista)

61% of IT decision-makers agree that the pandemic accelerated their organisation’s data-driven strategy. (IDG)


Data analytics strategy

80-90% of the data we generate today is unstructured. (CIO)

“Leveraging data for insights into everything from internal business operations to the customer journey is top of mind and of strategic importance.” (IDC)

97.2% of organisations are investing in big data and AI. (New Vantage)


Data analytics trends

By 2025 there will be 55.7 billion connected devices worldwide. (IDC)

Data fabric: reduces time for integration design by 30%, deployment by 30% and maintenance by 70%. (Gartner)

AI adoption continues to rise. The business functions where it is most common are service operations, product and service development, and marketing and sales. (McKinsey)


Data analytics benefits

The top 3 benefits organisations get from using analytics: improved efficiency and profitability (63%), faster and more effective decision making (57%), and better financial performance (51%). (Finances Online)

54% chance of enhanced operational process control, 52% for a better understanding of consumers as well as 47% for effective cost reduction. (Analytics Insights)

Companies that use big data increase their profits by 8%-10%. (Finances Online)


Data analytics challenges

Only 46% of IT decision-makers say their company has a clearly defined and communicated data and analytics strategy. (IDG)

95% of businesses cite the need to manage unstructured data as a problem for their business. (Forbes)

Barriers to the effective use of analytics: data privacy and security programmes (49%), limited access to data (33%), and lack of training (29%). (Finances Online)


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