01 Growing Adoption of Multi-Cloud and Hybrid Cloud Strategies for Advanced Analytics Organizations are increasingly using multi and hybrid-cloud strategies to enhance analytics capabilities. They can take advantage of the best strengths of multiple cloud providers, minimize costs, and improve data resilience by distributing workloads across several environments. In this manner, businesses avoid vendor lock-in and enjoy more flexibility in their operations. For instance, a survey by Flexera in 2024 indicates that 97% of IT respondents plan to adopt a multi-cloud system within the next 12 months Additionally, integrating AI and ML into cloud analytics platforms provides advanced predictive insights in data analysis, revolutionizing this field. This revolution enables businesses to predict, identify patterns, and make accurate decisions. These AI and ML algorithms enhance the analytical capabilities of platforms and facilitate real-time data processing and automated decision-making.
March 2026 SAP enhanced SAP Analytics Cloud with intelligent planning, predictive analytics, and generative AI capabilities. The innovations strengthen cloud-based enterprise analytics and performance management.
November 2025 Oracle expanded Oracle Analytics Cloud with advanced AI-assisted data visualization, forecasting, and automated insight generation. The platform helps organizations improve operational intelligence and business planning.
September 2025 Google Cloud introduced new BigQuery AI capabilities supporting automated analytics, predictive modeling, and generative AI integration. The enhancements improve data analysis while reducing complexity for enterprise users.
June 2025 Microsoft expanded Microsoft Fabric with enhanced AI-powered analytics, real-time data processing, and Copilot capabilities. The updates help organizations accelerate data-driven decision-making and simplify enterprise analytics.