Summary

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.

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.

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Table of Contents

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
GenAI
Edge AI
XAI
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
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
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
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 Analysisby 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 Analysisfor Startups
Overview
Key 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 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
Chapter 6 Future of AI Use Cases
Evolving AI Use Cases, by Technological Advances
Key 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
Future of AI Use Cases in Edge Computing
Chapter 7 Appendix
Methodology
Abbreviations

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List of Tables/Graphs

List of Tables
Table 1 : Abbreviations Used in the Report