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Report

AI Use Case Analysis: Global Outlook

Market Research Report I 2025-08-27 I 88 Pages I BCC Research

Description

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. This report:
- Explores the latest and emerging AI technologies, offering a detailed review of innovations such as GenAI, edge AI, XAI, quantum ML and LLMs and explaining their significance in the evolving AI ecosystem.
- The study includes AI use case analysis by technologies, 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. It presents the problems that AI solves within each technological context, the solutions implemented and the resulting outcomes.
- AI use case analysis by industry covers healthcare, finance and banking, logistics, retail and e-commerce, education and edtech, media and entertainment, telecom, oil and gas and others (including agriculture, aerospace and defense, automotive, manufacturing and mining).
- Includes a section on AI use case analysis for startups. It examines how nascent companies are deploying AI for operational efficiency, product innovation and compliance.
- 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
- A brief general outlook of the AI use-case scenarios across industries or applications with problems, solutions and results achieved
- Key success factors for AI from use-case analysis
- Technology-specific AI use case analyses for robotics, cybersecurity, digital twin, AR/VR, blockchain, edge computing, and IoT technologies
- Use-case analysis for startups, including operational, product development and innovation, and infrastructure and compliance
- Case studies on AI implementation to improve business processes and for products and service innovation
- Insights into future AI adoption plans of key companies across different sectors, and projections and growth forecasts
- Expert quotes on AI use cases from primary respondents

Executive Summary

Summary:

This report provides an overview of the evolving artificial intelligence (AI) landscape. It covers emerging AI technologies and their applications and use cases in several industry verticals. The report explores latest AI advances, such as GenAI, edge AI, XAI and quantum ML, to analyze specific AI use cases across a range of technologies, describing the problems addressed, the solutions offered and the tangible outcomes.

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. This report -

- Explores the latest and emerging AI technologies, offering a detailed review of innovations such as GenAI, edge AI, XAI, quantum ML and LLMs and explaining their significance in the evolving AI ecosystem.

Table of Contents
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
Emerging Technologies in AI
Generative AI
Edge AI
EXplainable AI (XAI)
Quantum Machine Learning (QML)
Large Language Models (LLMs)
Chapter 3 AI Use Case Analysis by Technologies
Overview
Takeaways
Robotics
Applications for AI in Robotics
Use Cases for AI in Robotics
Cybersecurity
Applications for AI in Cybersecurity
Use Cases for AI in Cybersecurity
Digital Twin
Key Applications for AI in Digital Twin
Use Cases for AI in Digital Twin
Extended Reality, Augmented Reality and Virtual Reality
Key Applications for AI in XR, AR and VR
Use Cases for AI in XR, AR and VR
Blockchain
Applications for AI in Blockchain
Use Cases for AI in Blockchain
Internet of Things (IoT)
Applications for AI in IoT
Use Cases for AI in IoT
Edge Computing
Applications for AI in 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
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
Other Industries
Use Cases for AI in Other Industries
Chapter 5 AI Use Case Analysis for Startups
Overview
Takeaways
Operational Use Cases
Use Case 1: AI-Powered Customer Query Resolution at Urban Company
Use Case 2: AI-Powered Paperwork Reduction for Mobile Dental Clinics at Virtual Dental Care
Product Development and Innovation Use Cases
Use Case 1: AI-Driven Personalization and Inventory Optimization in Fashion at 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
Chapter 6 Future of AI Use Cases
Evolving AI Use Cases, by Technological Advances
Takeaways
Future of AI Use Cases in Robotics
Future of AI Use Cases in Cyber Security
Future of AI Use Cases in XR, AR and VR
Future of AI Use Cases in Blockchain
Chapter 7 Appendix
Methodology
Abbreviations

List of Tables
Table 1 : Abbreviations Used in the Report

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