> **来源：[研报客](https://pc.yanbaoke.cn)** # Cloud Trends 2025: Summary ## Core Content This report outlines the top ten cloud technology trends expected to shape the industry in 2025, with a focus on multi-cloud and hybrid cloud solutions, edge computing, serverless computing, AI and ML integration, and more. The analysis is based on insights from leading analyst reports such as Gartner, Forrester, Everest, and IDC, and it combines both horizontal trend analysis and vertical business insights from customer perspectives. ## Main Trends and Key Points ### 1. **Multi-Cloud and Hybrid Cloud Solutions (Future is Hybrid)** - **Definition**: Multi-cloud refers to using multiple cloud service providers (CSPs) for different parts of an application or workload, while hybrid cloud combines private and public cloud resources. - **Patterns**: - **Data-oriented**: Applications are migrated based on the suitability of data sources and DB compatibility. - **Service-oriented**: Applications are migrated based on services, APIs, and processing logic. - **Process-oriented**: A hybrid model that considers both data and service requirements. - **Benefits**: Avoids vendor lock-in, increases redundancy, optimizes cost, and ensures compliance with regional regulations. - **Wipro Case Study**: A European client transformed 77% of their workload to the cloud using containerization and application modernization. Wipro used its Studio framework, accelerators, and ITIL-led procedures for efficient migration. ### 2. **Edge Computing** - **Definition**: Processing data closer to the source, reducing latency and bandwidth usage. - **Growth**: IDC predicts the global edge computing market will reach \$250 billion by 2025 with a CAGR of 37.4%. - **Key Features**: - **Low Latency**: Edge caching improves performance. - **Bandwidth Reduction**: Local processing minimizes data transmission. - **Reliability**: Reduces network congestion. - **Compliance**: Enables data sovereignty and meets regulations like GDPR. - **Use Cases**: Traffic management, autonomous vehicles, predictive maintenance, supply chain optimization, precision agriculture, and real-time fraud detection. - **Wipro Case Study**: A global life sciences leader enhanced their device connectivity platform with Azure-based edge solutions. The solution included protocol translation, secure communication, and cloud-native PaaS components. ### 3. **Serverless Computing** - **Definition**: A model where the cloud provider manages the infrastructure, and developers focus on writing code. - **Adoption**: Gartner predicts over 50% of global enterprises will use serverless computing by 2025. - **Benefits**: - Cost efficiency (pay-per-use). - Scalability and flexibility. - Reduced infrastructure management. - Enhanced developer experience. - **Challenges**: - Vendor lock-in. - Complexity in migrating from monolithic to microservices. - Higher costs for CPU/memory-intensive applications. - API gateway costs with high function invocations. - **Wipro Case Study**: Implemented a serverless solution for an Australia-based telecom provider using open-source tools. The solution was cost-effective and scalable, supporting future integrations. ### 4. **AI and Machine Learning Integration** - **Trend**: AI and ML are becoming integral to cloud platforms, enabling data-driven insights and automation. - **Adoption Growth**: Forrester predicts a 40% increase in AI-driven cloud services by 2025. - **Cloud Providers**: AWS, Azure, GCP, OCI, and IBM Cloud are investing heavily in AI capabilities. - **Impact**: Enhances security, personalization, and operational efficiency across industries. - **Potential**: AI and ML are expected to revolutionize sectors through predictive analytics, automation, and generative AI solutions. ## Key Information - **Distributed Cloud**: A new model that combines edge and hybrid cloud, enabling localized services and reducing latency. - **SASE (Secure Access Service Edge)**: Converges network and security services, supporting zero trust, secure web gateways, and edge computing. - **5G Integration**: Enhances edge computing and IoT by providing ultra-low latency and high bandwidth, crucial for real-time applications. - **Wipro's Role**: Offers tailored solutions through a cloud-first approach, strategic partnerships, and standardized blueprints. ## Conclusion Cloud technology is evolving rapidly, driven by multi-cloud strategies, edge computing, serverless models, and AI integration. These trends are reshaping how businesses operate, enabling them to meet modern demands with improved performance, security, and cost efficiency. Wipro's expertise in these areas positions it as a key player in delivering innovative, secure, and scalable cloud solutions.