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The International Data Corporation (IDC) has released its IDC FutureScape report, which highlights the top ten trends that are expected to redefine the IT landscape through 2025 and beyond. The report emphasizes a transformative shift toward AI-driven business models and advocates for significant investments in advanced AI capabilities to build resilient, AI-enabled organizations.

IDC foresees that in the next 18 months, businesses across various sectors will move beyond initial AI experiments to implement significant transformations, spurred by advancements in AI, infrastructure, and data frameworks. With the rapid rise in AI adoption, global spending on AI technologies is predicted to exceed $749 billion by 2028, with a considerable part of that investment integrated directly into key enterprise operations.

IDC’s Top 10 Predictions for the IT Industry by 2025

  1. AI Economics: As businesses transition from experimenting with AI to monetizing it, Chief Information Officers (CIOs) will prioritize measuring and optimizing AI applications. It’s crucial to establish a strong foundation to facilitate AI’s integration into business processes to overcome modernization challenges.

  2. AI Pivot Barriers: Companies may encounter difficulties when deploying Generative AI (GenAI) solutions due to issues such as developer shortages, excessive costs, underdeveloped infrastructure, and insufficient coordination between IT teams and business leaders. IDC warns that as many as 30% of organizations might reconsider their GenAI investments if these challenges remain unresolved.

  3. Cyber-Resiliency: A surge in ransomware attacks has made cyber recovery and resiliency a primary focus for IT teams. Organizations that fail to adapt to the evolving threat landscape and increasing reliance on AI could struggle to meet the business expectations for AI-driven outcomes.

  4. Cloud Modernization: Companies that effectively modernize their cloud infrastructures will experience enhanced ROI, improved operational efficiency, cost savings, and better workload performance. Continued emphasis on cloud modernization will remain a priority for businesses aiming for long-term viability.

  5. Data as Product: By adopting data-as-a-product architectures, businesses will be able to dismantle data silos, leading to greater efficiency and more reliable data-driven outcomes. This paradigm shift will transform data managing and consumption practices within organizations.

  6. App Metamorphosis: AI agents are anticipated to supplant traditional software copilots, resulting in fully automated software components that utilize AI to assess scenarios and execute actions with minimal human input, thereby streamlining operations.

  7. Inferencing Delivery: With the adoption of GenAI and agent-driven workflows, inferencing workloads are expected to rise. IDC recommends that businesses refrain from becoming locked into a single inferencing solution and pursue a diversified multi-inferencing strategy to maintain flexibility and scalability.

  8. Decarbonizing AI Infrastructure: As AI adoption grows, the resulting increase in electronic waste poses an environmental challenge. IDC predicts enterprises will adopt sustainable AI practices, emphasizing energy efficiency, resource optimization, and e-waste reduction to lessen the ecological impact of AI technologies.

  9. Unified Platforms for Composite AI: Focusing solely on basic AI applications will yield limited business benefits. Successful enterprises will integrate AI solutions into comprehensive platforms that can scale across the organization, ensuring that AI investments deliver substantial business value.

  10. New Work Roles: The proliferation of AI will instigate changes in workplace dynamics, altering how organizations manage talent and workflows. IDC discovered that 47% of IT and line-of-business leaders have already adapted their work methodologies and policies to align with a digital-first work environment.


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