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PUBLISHER: IDC | PRODUCT CODE: 1582648

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PUBLISHER: IDC | PRODUCT CODE: 1582648

IDC FutureScape: Worldwide Developer and DevOps 2025 Predictions

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PAGES: 26 Pages
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This IDC study presents IDC's top 10 predictions for developers and DevOps for 2025 and beyond."The emerging wave of generative AI (GenAI)/ML is sweeping through the industry, significantly influencing developers and DevOps professionals at the forefront of this new paradigm. As we navigate the landscape of development and DevOps, it becomes evident that the pace of change is accelerating. Many of the transformations forecast by the IDC FutureScape team in recent years are now becoming a reality," said Jim Mercer, program vice president of Software Development DevOps and DevSecOps at IDC. "The coming years are poised to be among the most pivotal in the history of application development and deployment."

Product Code: US52623424

IDC FutureScape Figure

Executive Summary

IDC FutureScape Predictions

  • Summary of External Drivers
  • Predictions: Impact on Technology Buyers
    • Prediction 1: By 2028, 65% of Organizations Will Use DevOps Tools That Combine MLOps, LLMOps, DataOps, CloudOps, and DevOps Capabilities to Optimize the Route to AI Value in Software Delivery Processes
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 2: By 2027, 75% of Organizations Will Combine GenAI with FinOps Processes to Improve the Intelligence of DevOps Pipelines and Optimize Costs Before Going into Production
      • Associated Drivers
      • IT Impact
      • Business Impact
      • Guidance
    • Prediction 3: By 2027, 70% of Corrective Code Fixes for Application Security Issues Will Be Generated by AI-Assisted Automated Remediation Tools, Reducing the Time to Patch a Software Vulnerability Down to Days
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 4: By 2025, the Need for Faster Access to Innovation, Operational Sovereignty, Transparency, and Lower Costs Will Drive 65% of Organizations to Develop Applications with Open Source AI Foundation Models
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 5: By 2027, 60% of Net-New Applications That Leverage Generative AI Capabilities Will Be Developed by Low-Code or No-Code Developer Technologies
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 6: By 2029, GenAI-Based Software Testing Tools, Capable of Writing 85% of Tests, Will Be Augmented by AI Agents and Agentic Workflows, Improving Code Coverage and Quality, But Demanding Governance
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 7: As Part of the Shift to Platform Engineering, 70% of Developers Will Leverage Cloud-Native Developer Portals and Cloud Developer Environments to Improve the Efficiency of Their Work by 2027
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 8: By 2027, 60% of Enterprises Will Require Technologies to Manage the Proliferation of GenAI Copilots and Digital Assistants
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 9: By 2026, 30% of Mainframe Developers Will Use GenAI to Retro-Document COBOL and Accelerate the Modernization of Mainframe Applications, Opening Up New Opportunities for Mainframes in a Digital Landscape
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 10: By 2028, Natural Language Will Become the Most Widely Used Programming Language, with Developers Using It to Create 70% of Net-New Digital Solutions
      • Associated Drivers
      • IT 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
  • Expanding Digital Security Frontiers - Fortification Against Multiplying Threats
  • Battling Against Technical Debt - Overcoming Hurdles to IT Modernization

Learn More

  • Related Research
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