AIユースケース分析の世界展望　2025年10月版

AI Use Case Analysis: Global Outlook

本レポートは、新興の人工知能（AI）技術とその様々な業界における応用について概説しています。また、新興のAI技術とその応用、そして複数の業界におけるユースケースについても取り上げています。

レポートの内容

• 進化する人工知能（AI）技術の現状と、様々な業界におけるその応用に関する包括的かつリアルタイムな分析。
• 最新かつ新興のAI技術と、進化するAIエコシステムにおけるそれらの重要性に関する理解。
• ロボティクス、サイバーセキュリティ、デジタルツイン、AR/VR、ブロックチェーン、エッジコンピューティング、IoT技術など、技術固有のAIユースケース分析。
• 様々なエンドユーザー産業におけるAI導入成功事例。
• スタートアップ企業向けに、業務効率化、製品イノベーション、コンプライアンス、営業・マーケティング、人材管理といった分野におけるAI導入事例を分析します。
• 技術の進歩と変化する業界ニーズを考慮し、今後数年間のAIユースケースに関する洞察を提供します。

本レポートは、AIアプリケーションの現状と将来像を詳細に分析しています。AIを推進する技術進歩と、これらの進歩が様々な業界や新興企業によってどのように活用されているかを多角的に分析しています。

Report Highlights

This report provides an overview of emerging artificial intelligence (AI) technologies and their applications across various industries. It covers emerging AI technologies and their applications and use cases in several industry verticals.

Report Includes

• A comprehensive and real-time analysis of the evolving artificial intelligence (AI) technology landscape and their applications across various industries.
• Understanding of the latest and emerging AI technologies, and their significance in the evolving AI ecosystem.
• Technology-specific AI use case analyses for robotics, cybersecurity, digital twin, AR/VR, blockchain, edge computing, and IoT technologies.
• Use Cases of AI for successful implementation across various end-use industries.
• AI use case analysis for startups on how companies are deploying AI for operational efficiency, product innovation, compliance, sales and marketing, and talent management.
• Insights into future AI Use Cases in the coming years, considering technological progress and shifting industry demands.

Report Scope

This report provides an in-depth examination of the current and future landscape of AI applications. Its multi-dimensional analysis addresses both the technological advances driving AI and the many ways these advances are being leveraged across various industries and by emerging businesses.

• The report provides an analysis of the latest and emerging AI technologies, such as genAI, edge AI, eXplainable AI (XAI), QML, large language models (LLMs), agentic AI, reinforcement learning and others (federated AI and neuromorphic computing), and their significance in the evolving AI ecosystem.
• The AI use case analysis by technology, where practical applications of AI are explored across a spectrum of underlying technologies, including robotics, cybersecurity, digital twins, XR, AR, VR, blockchain, IoT, and edge computing is explained in detail. It presents the problems that AI solves within each technological context, the solutions implemented, and the resulting outcomes.
• The detailed analysis of AI use cases by industry covers healthcare, finance and banking, logistics, retail and e-commerce, education and edtech, media and entertainment, telecom, oil and gas, automotive, manufacturing and others (agriculture, aerospace and defense, construction and mining).
• It also includes a section on AI use case analysis for startups. It examines how companies are deploying AI for operational efficiency, product innovation, compliance, sales and marketing, and talent management.
• The study offers a future perspective on AI use cases, analyzing how AI applications will continue to evolve and reshape industries and technologies, emphasizing areas such as robotics and cybersecurity.