人工智慧應用案例分析：全球視角

AI Use Case Analysis: Global Outlook

出版日期: 2026年01月30日 | 出版商:

BCC Research | 英文 86 Pages | 訂單完成後即時交付

價格

簡介目錄

本報告對人工智慧在各個技術領域、產業部門和組織環境中的應用案例進行了全面分析，深入探討了人工智慧應用如何發展、擴展並創造商業價值。

該調查涵蓋了主要技術領域、關鍵行業垂直領域和Start-Ups生態系統中的人工智慧應用案例，系統地展示了採用模式、成熟度水平和實際應用場景。

調查範圍

本報告檢驗了整體情況的當前和未來應用。分析內容涵蓋了推動人工智慧發展的技術進步，以及這些技術在各行各業和新興企業中的應用。

該報告分析了最新和新興的人工智慧技術（包括生成式人工智慧、邊緣人工智慧、可解釋人工智慧、量子機器學習 (QML)、大規模語言模型 (LLM)、智慧體人工智慧、強化學習以及其他技術（例如聯邦人工智慧、神經形態運算）），並重點闡述了它們在不斷發展的人工智慧生態系統中的重要性。報告還檢驗了各行業人工智慧的採用和成熟階段，展示了企業如何從實驗和概念驗證 (PoC) 階段過渡到試點部署、規模化部署、營運整合和價值創造階段。
這份針對特定技術的AI應用案例分析報告提供了AI在眾多底層技術領域的詳細應用範例，包括機器人、網路安全、數位雙胞胎、XR/AR/VR、區塊鏈、物聯網和邊緣運算。報告針對每個技術領域，說明了AI解決的問題、已部署的解決方案以及所取得的成果。
按行業分類的 AI 應用案例分析涵蓋醫療保健、金融和銀行、物流、零售和電子商務、教育和教育科技、媒體和娛樂、電信、石油和天然氣、汽車、製造業以及其他行業（農業、航太和國防、建築和採礦）。
《Start-Ups的 AI 用例分析》部分檢驗了公司如何在營運效率、產品和服務創新、合規性、銷售和行銷以及人才管理等領域使用 AI。
該報告也著眼於人工智慧的未來應用案例，分析人工智慧應用將如何發展並重新定義產業和技術，尤其關注機器人和網路安全等領域。

概述
重點總結
機器人技術
人工智慧在機器人領域的應用
人工智慧在機器人領域的應用案例
網路安全
人工智慧在網路安全的應用案例
數位雙胞胎
人工智慧在數位雙胞胎中的關鍵應用
人工智慧在數位雙胞胎中的應用案例
XR、擴增實境(AR)、虛擬實境 (VR)
人工智慧在擴展實境（XR）、擴增實境（AR）和虛擬實境（VR）中的關鍵應用
人工智慧在XR、AR和VR中的應用案例
區塊鏈
區塊鏈中的人工智慧應用案例
IoT
物聯網中的人工智慧應用
物聯網中的人工智慧應用案例
邊緣運算
邊緣運算中的人工智慧應用案例
其他技術
人工智慧在其他技術領域的應用案例

4. 各行業的AI應用案例分析

概述
重點總結
衛生保健
人工智慧在醫療保健領域的應用案例
金融與銀行
人工智慧在金融和銀行業的應用案例
物流
人工智慧在物流領域的應用實例
零售與電子商務
人工智慧在零售和電子商務的應用案例
教育/教育科技
人工智慧在教育和教育科技領域的應用實例
媒體與娛樂
人工智慧在媒體和娛樂領域的應用案例
溝通
人工智慧在通訊領域的應用案例
石油和天然氣
人工智慧在石油和天然氣產業的應用案例
車
人工智慧在汽車產業的應用實例
製造業
人工智慧在製造業的應用實例
其他行業
人工智慧在其他產業的應用案例

第5章Start-Ups人工智慧應用案例分析

概述
重點總結
實際應用案例
用例 1：人工智慧驅動的員工調查和知識管理
用例 2：Urban Company 的 AI 驅動客戶諮詢
用例 3：人工智慧助力行動牙科診所減少虛擬牙科護理中的文書工作
產品開發與創新應用案例
用例 1：Stitch Fix 在時尚產業的 AI 驅動個人化和庫存最佳化
用例 2：利用 OpenAI 的 GPT 模型推進自然語言處理
基礎設施合規性用例
應用案例 1：人工智慧助力全球氣候承諾課責
用例 2：人工智慧助力智慧老化城市計劃
銷售和行銷用例
用例 1：利用 SuperAGI 實現大規模超個人化推廣
用例 2：人工智慧驅動的對話智慧在銷售輔導中的應用
人力資源和人才管理用例
用例 1：借助 JobGet 實現 AI主導的招募轉型
用例 2：CrewBloom 的人工智慧人才管理
規模化與市場推廣挑戰

第6章：人工智慧應用案例的未來

隨著科技進步，人工智慧的應用案例也不斷演變。
重點總結
人工智慧在機器人領域的應用前景
人工智慧在網路安全領域的應用前景
人工智慧在XR、AR和VR領域的應用前景
區塊鏈中人工智慧應用案例的未來
人工智慧在邊緣運算的應用前景

第7章附錄

簡介目錄

Product Code: AIT002C

This report provides a comprehensive analysis of artificial intelligence (AI) use cases across technologies, industries, and organizational contexts. The study presents detailed qualitative insights, focusing on how AI applications are evolving, scaling, and creating business value. The scope covers AI use cases across key technology domains, major industry verticals, and startup ecosystems, offering structured visibility into adoption patterns, maturity levels, and real-world implementation scenarios.

The report evaluates AI use cases in relation to technology readiness, value creation potential, operational impact, and adoption barriers. It also examines emerging AI technologies, workforce and skill implications, regulatory and ethical considerations, and investment trends shaping future use cases. The study concludes with a forward-looking perspective on how AI use cases are expected to evolve over the next few years, supported by a clear and defined target audience.

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 report also examines AI adoption and maturity stages across industries, highlighting how organizations progress from experimentation and pilot projects to scaled deployment, operational integration, and value realization.
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.

Report Includes

In-depth analysis of emerging artificial intelligence (AI) technologies and their applications across various industries
Review of the latest AI advances, such as GenAI, edge AI and quantum machine learning (QML), to analyze specific AI use cases across a range of technologies, describing the problems addressed, the solutions offered, and the tangible outcomes
A structured analysis of global AI use cases across key technologies, industries, and organizational contexts
Analysis of AI use cases by technology, including machine learning, computer vision, natural language processing, generative AI, robotics, digital twins, and edge computing
Analysis of AI use cases by industry, covering healthcare, finance, manufacturing, retail, logistics, telecommunications, government, and other sectors
Review of AI use cases among startups, including operational, product development, compliance, sales and marketing, and monetization applications
Insights into emerging AI technologies and their impact on future use case development
Examination of AI adoption patterns, maturity levels, and real-world implementation scenarios
Insights into future AI Use Cases in the coming years, considering technological progress and shifting industry demands

Chapter 1 Executive Summary

Study Goals and Objectives
Scope of Report
Reasons for Doing the Study
Market Summary
Technology-Centric View
Industry-Centric View
Upcoming Trends and Developments
Conclusion

Chapter 2 Emerging Technologies in AI

Overview of AI
Types of AI
AI Adoption and Maturity Stages
Emerging Technologies in AI
GenAI
Multimodal AI
Edge AI
XAI
Quantum Machine Learning (QML)
LLMs
Agentic AI
Reinforcement Learning
Others

Chapter 3 AI Use Case Analysis by Technologies

Overview
Key Takeaways
Robotics
Applications for AI in Robotics
Use Cases for AI in Robotics
Cybersecurity
Use Cases for AI in Cybersecurity
Digital Twin
Key Applications for AI in Digital Twin
Use Cases for AI in Digital Twin
XR, Augmented Reality (AR) and Virtual Reality (VR)
Key Applications for AI in XR, AR and VR
Use Cases for AI in XR, AR and VR
Blockchain
Use Cases for AI in Blockchain
Internet of Things (IoT)
Applications for AI in IoT
Use Cases for AI in IoT
Edge Computing
Use Cases for AI in Edge Computing
Other Technologies
Use Cases for AI in Other Technologies

Chapter 4 AI Use Case Analysis by Industries

Overview
Key Takeaways
Healthcare
Use Cases for AI in Healthcare
Finance and Banking
Use Cases for AI in Finance and Banking
Logistics
Use Cases for AI in Logistics
Retail and E-Commerce
Use Cases for AI in Retail and E-Commerce
Education and EdTech
Use Cases for AI in Education and EdTech
Media and Entertainment
Use Cases for AI in Media and Entertainment
Telecommunications
Use Cases for AI in Telecommunication
Oil and Gas
Use Cases for AI in Oil and Gas
Automotive
Use Cases for AI in Automotive
Manufacturing
Use Cases for AI in Manufacturing
Other Industries
Use Cases for AI in Other Industries

Chapter 5 AI Use Case Analysis for Startups

Overview
Key Takeaways
Operational Use Cases
Use Case 1: AI-Powered Employee Research and Knowledge Management
Use Case 2: AI-Powered Customer Query Resolution at Urban Company
Use Case 3: AI-Powered Paperwork Reduction for Mobile Dental Clinics atVirtual Dental Care
Product Development and Innovation Use Cases
Use Case 1: AI-Driven Personalization and Inventory Optimization in Fashionat Stitch Fix
Use Case 2: Advancing NLP with OpenAI's GPT Models
Infrastructure and Compliance Use Cases
Use Case 1: AI for Global Climate Pledge Accountability
Use Case 2: AI for Smart Aging Cities in Japan
Sales and Marketing Use Cases
Use Case 1: Hyper-Personalized Outreach at Scale with SuperAGI
Use Case 2: AI-Powered Conversational Intelligence for Sales Coaching
Human Resources (HR) and Talent Management Use Cases
Use Case 1: AI-Driven Recruitment Transformation with JobGet
Use Case 2: AI in Talent Management at CrewBloom
Scaling and Go-to-Market Challenges