Gartner unveils Hype Cycle for Japan’s Cloud and AI future

Gartner Japan released its “Cloud and AI Hype Cycle for Japan: 2025” on August 5th. Japanese companies are under pressure to recognize the industrial revolution-level changes brought about by the convergence of cloud and AI and incorporate them into their business strategies. Cloud computing has been around for nearly 20 years, and over this time, the cloud has evolved from a platform that supports existing systems to a platform that promotes the development of AI, generative AI, AI agents, agent-based AI, and multi-agent technologies. Distinguished Vice President Analyst Tadaaki Mataga analyzes, “Companies need to view the cloud not only as a migration destination for existing systems, but also as a platform for new business services and a platform that will bring about an industrial revolution-level impact through AI.” The Hype Cycle highlights 34 noteworthy technologies and innovations related to cloud and AI from three perspectives: (1) AI and industrial revolution-related, (2) cloud-related, and (3) migration-related.

The following are highlighted: (1) AI and industrial revolution-related topics: A2A (Agent2Agent) protocol, AI agents, AI orchestration, AI networking, AI factory, large-scale language model (LLM) platform services, LoRA, Model Context Protocol (MCP), quantum computing cloud services (QCaaS), world models, industrial AI, agent-based AI, cloud AI services, hyper AI supercomputers, physical AI, multi-agent systems, search augmentation and generation (RAG) (2) Cloud-related topics: FinOps, IaC (Infrastructure as Code), new on-premise, industrial cloud platforms, cloud native, cloud resilience, cloud center of excellence (COE), service factories, bare metal as a service (BMaaS), site reliability engineering, sovereign cloud, platform engineering, multi-cloud, distributed cloud (3) Migration-related topics: Mainframe-to-Cloud (M2C) migration, Virtual-to-Cloud (V2C) migration, re-virtualization In the AI field, “A2A protocols,” “AI agents,” and “hyper AI supercomputers” are the subject of active investment and competition, and AI technology is expected to mature at a relatively early stage.

Also Read: PLaMo Translation Extensions Now on Chrome & Firefox

On the other hand, cloud-related technologies have been widespread for some time, but their use is limited in many companies, and they are expected to take time to mature. Mataga commented, “Companies need to be mindful of AI agent washing, correctly recognize the gap between the ideal future and the ‘reality’ that can be achieved at present, and calmly determine the implementation strategy and timing that is best suited to their company, without over-expecting or underestimating.” He also states, “Understanding that AI and cloud technologies complement each other, in order to respond to major changes such as the era of AI symbiosis and the industrial revolution, it will be important to redefine companies from those that ‘can utilize cloud and AI’ to those that ‘make cloud and AI a business premise’, and to steadily advance the development of the cloud, AI, and data infrastructure that supports this, as well as the acquisition of human resources capabilities (skills, mindset, style) that are in line with the changing times. In doing so, it is effective not only to consider the suitability of the individual technologies featured in the Hype Cycle for your company, but also to refer to this Hype Cycle as a clue to specifically recognizing the changing times.”

SOURCE: Yahoo