Gartner's data and analytics predictions for 2025

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Data and analytics predictions enable decision-makers to drive initiatives, strategies and actions with improved insight and in line with business trends and needs.

Don't miss this article where Gartner shows us the future of data and analytics with its predictions for 2025.

Data and analytics predictions: What will happen between now and 2025?
Gartner has released an interesting report that highlights the main predictions for data and analytics so that business leaders can make strategic plans considering these trends.

The future holds a multitude of opportunities for businesses seeking to create value from data. This is because data and its analysis are increasingly positioned as the driving force behind successful business strategies.

We know that the pandemic has accelerated afghanistan phone number lead digital transformation and data-driven businesses. Yet, many companies today struggle to think data-driven.

This transition towards data-driven companies requires a new vision and leaders who can enhance problem solving, increase competitiveness and achieve their goals by intelligently using their data.

This is demonstrated by Gartner's Predicts 2021 publication , which positions data and analytics as increasingly critical elements in almost all business sectors, both in the private and public spheres.

Towards a data-driven business transformation
Gartner's Data and Analytics Predictions Report compiles 100 strategic planning hypotheses (SPAs) related to these topics that will have an impact through 2025.

We invite you to get to know them.

Data and analytics predictions for 2023
It is expected that 50% of companies that do not have a chief data officer (CDO) will need to fill that position to be successful.
Organizations with governance and management processes that enable cross-company data sharing will outperform those that don’t.
30% of organizations will leverage the collective intelligence of their analytics communities, outperforming competitors who rely solely on centralized or self-service analytics.
60% of companies will combine components from three or more analytics solutions to create business applications that connect insights to actions.
Overall adoption of analytics will increase from 35% to 50%.
Cloud architects will be key players when it comes to purchasing BI tools, as scalability and cloud ecosystems become key purchasing considerations.
ERP data will be the basis for 30% of predictive analytics.
Data and analytics predictions for 2024
Widespread cloud adoption will elevate the CFO’s influence over CIOs due to the explicit linking of workloads to cost, which will impact the CDO’s role.
75% of organizations will have established a centralized data and analytics center of excellence.
30% of organizations will invest in data governance and analytics platforms, increasing trusted insights and efficiency.
Most organizations will try trust-based data sharing programs, but only 15% will be successful.
60% of the data used for the development of AI and analytics solutions will be generated synthetically.
70% of companies will use the cloud and cloud-based AI infrastructure.
Using synthetic data and transfer learning will halve the amount of real data needed for machine learning.
10% of digital commerce orders will be predicted and initiated by AI.
60% of AI vendors will include a means to mitigate potential harm as part of their technologies.
50% of organizations will adopt modern data quality solutions to improve their digital business.
Data and analytics predictions for 2025
80% of data governance and analytics initiatives will focus on business outcomes, rather than data standards.
By this year, 80% of organizations looking to scale digital business will fail because they have not adopted a modern approach to data governance and analytics.
75% of workplace conversations will be recorded and analyzed, enabling the discovery of added value and organizational risks.
AI will be the primary category driving infrastructure decisions.
50% of companies implementing AI orchestration platforms will use open source technologies to deliver next-generation AI capabilities.
Data , analytics and AI are having a transformative impact that we are already experiencing and that will only accelerate in the coming years. Your company cannot afford to ignore these predictions and trends if it wants to remain competitive.