IDC FutureScape: Worldwide Data and Analytics 2025 Predictions

Description

This IDC study for data and analytics technologies highlights significant trends, including the alignment of data intelligence with AI model intelligence, the adoption of data-as-a-product architectures, and the readiness of organizations to leverage data with generative AI. The influence of chief data and analytics officers will grow, and AI agents will transform data teams. Generative AI will unlock unstructured data, and data security will unify governance across the enterprise."Modern data environments are highly distributed, diverse, dynamic, and dark, complicating data management and analytics as organizations seek to leverage new advancements in generative AI while maintaining control," says Stewart Bond, vice president of Data Intelligence and Integration research at IDC. "Innovations in data and analytics technologies over the next five years will help organizations get out of the current AI scramble and into adoption and move forward to become future AI-fueled businesses."

Product Code: US52640324

IDC FutureScape Figure

Executive Summary

IDC FutureScape Predictions

Summary of External Drivers
Predictions: Impact on Technology Buyers
- Prediction 1: By 2026, Only 15% of G5000 Organizations Will Have Aligned Data Intelligence with AI Model Intelligence to Unify Governance Policies, Practices, and Technology in the Synthesis of Data Used with AI Models
  - Associated Drivers
  - IT Impact
  - Business Impact
  - Guidance
- Prediction 2: By 2026, the Use of Data-as-a-Product Architectures Will Significantly Break Down Data Silos in 50% of Large Enterprises
  - Associated Drivers
  - IT Impact
  - Business Impact
  - Guidance
- Prediction 3: By 2026, over 50% of Organizations Will Be Ready to Use Their Data with GenAI Because of the Increased Adoption of Data Platforms for Data Storage, Standardization, and Access
  - Associated Drivers
  - IT Impact
  - Business Impact
  - Guidance
- Prediction 4: By 2028, 90% of Database Implementations Will Be Part of Broader Ecosystems of Data Technologies Rather Than Standalone Implementations
  - Associated Drivers
  - IT Impact
  - Business Impact
  - Guidance
- Prediction 5: By 2027, Data Collaboration via Data Exchanges and/or Data Clean Rooms Will Have Penetrated 80% of G5000 Organizations
  - Associated Drivers
  - IT Impact
  - Business Impact
  - Guidance
- Prediction 6: By 2028, GenAI's Creation of Synthetic Data Will Improve the Accuracy and Reliability of Predictive Analytics by 40% in Areas with Limited Data
  - Associated Drivers
  - IT Impact
  - Business Impact
  - Guidance
- Prediction 7: By 2028, 60% of Chief Data and Analytics Officers in G2000 Companies Will Rival the CIO in Terms of Influence on Enterprise Spending in Technology
  - Associated Drivers
  - IT Impact
  - Business Impact
  - Guidance
- Prediction 8: By 2028, the Use of AI Agents to Aid Data Preparation and Analytics Will Elevate 45% of the G2000 Data Teams to Agent Orchestrators
  - Associated Drivers
  - IT Impact
  - Business Impact
  - Guidance
- Prediction 9: By 2025, GenAI Will Increase the Amount of Useful Data by 40% by Enabling Organizations to Better Leverage Unstructured Data
  - Associated Drivers
  - IT Impact
  - Business Impact
  - Guidance
- Prediction 10: By the End of 2025, Data Security Teams Will Provide 40% of the Information Collected from Their Tools to Other Lines of Business to Provide Unified Governance Across the Business
  - Associated Drivers
  - IT Impact
  - Business Impact
  - Guidance

Advice for Technology Buyers

External Drivers: Detail

AI-Driven Business Models - Moving from AI Experimentation to Monetization
The Drive to Automate - Toward a Data-Driven Future
AI-Driven Workplace Transformation - Building Tomorrow's Workforce Today
Regulatory Flux - Navigating Compliance Challenges in a Shifting Policy Landscape
Expanding Digital Security Frontiers - Fortification Against Multiplying Threats
Responsible and Human-Centric Technology - Ethics in the Enterprise
Battling Against Technical Debt - Overcoming Hurdles to IT Modernization

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