The "AI Disruption: A Global Overview" report has been added to ResearchAndMarkets.com's offering.

The AI Disruption Market was valued at USD 206.6 billion in 2025, and is projected to reach USD 1.5 trillion by 2030, rising at a CAGR of 40%.

This report analyzes how AI disrupts industries, organizations and societies across technological, operational, customer-facing and competitive dimensions. It extends beyond tracking AI adoption trends and focuses on understanding disruption as a systemic force, mapping its worldwide impact on value creation and socio-economy.

The study draws on global benchmarks, real-time applications and deep research from academic, corporate and policy institutions to define the evolving AI landscape. The report examines several vectors, including platform shifts involving AI-native architectures, generative AI, automation systems, robotics and data infrastructure. It examines the reengineering of internal workflows, supply chains, logistics and decision-making through intelligent automation and ML-based optimization. It also examines AI in user experience, personalization engines, predictive services, voice interfaces and AI agents.

The report focuses on the most AI-affected sectors globally, with trend analysis in domains such as healthcare, finance and banking, manufacturing and supply chain, retail and e-commerce, education and edtech, transportation and logistics, media and entertainment, and other emerging sectors. The study also presents a regional landscape to identify AI leaders and late adopters. It maps the regional maturity, investment flows, talent ecosystems and policy environments in North America, Asia-Pacific, Europe and the Rest of the World (RoW).

The report evaluates AI disruption through multiple interconnected dimensions that include:

• Shifts in market capitalization linked to AI integration along with Job creation and displacement across cognitive and manual sectors.
• Breakthroughs in foundational models driving sectoral disruption.
• Changes in M&A activity and ecosystem consolidation around data-rich companies.
• Governance frameworks, and implications for data sovereignty and accountability.

The report includes:

• A comprehensive real-time analysis of AI-driven disruptions across major industries and global regions
• Highlights of key AI disruptions in multiple industries and a preview of the innovations behind the developments
• Integration of case studies, governmental data and platform-specific AI developments to deliver a holistic and strategic perspective on global AI disruption
• An understanding of how AI is fundamentally transforming technological infrastructures, operational frameworks, customer interfaces and the competitive dynamics of businesses
• Analyses of real-time Use Cases of companies that has undergone platform shifts due to AI and highlight migration to AI-native platforms
• Incorporate frameworks and publications from leading AI governance and research bodies
• A regional landscape to identify AI leaders and late adopters
• Informed perspectives on how AI can transform businesses from industry experts and thought leaders

Key Attributes:

Key Topics Covered:

Chapter 1 Executive Summary

• Study Goals and Objectives
• Reasons for Doing This Study
• Scope of Report
• Market Summary
• Disruption Viewpoint
• Future Trends and Development
• Industry Analysis
• Regional Insights
• Conclusion

Chapter 2 Market Overview

• AI Disruption Overview
• Quarter-in-Review: Key AI Disruption Highlights
• AI Market Pulse Dashboard
• Key AI Disruptive Startups
• Regional Policy Shifts
• Cloud and Colocation Market Dynamics
• Evolution of AI
• Historical Milestones
• Current State of AI (2025)
• AI Platform Shift
• Foundation Models
• Generative AI Revolution
• AI Beyond 2025

Chapter 3 AI as an Opportunity, not a Threat

• Overview
• New Job Roles Created/Traditional Jobs Being Displaced
• Healthcare
• Traditional Jobs Being Displaced
• New Job Roles Created
• Finance and Banking
• Traditional Jobs Being Displaced
• New Job Roles Created
• Manufacturing and Supply Chain
• Traditional Jobs Being Displaced
• New Job Roles Created
• Retail and e-Commerce
• Traditional Jobs Being Displaced
• New Job Roles Created
• Education and EdTech
• Traditional Jobs Being Displaced
• New Job Roles Created
• Transportation and Logistics
• Traditional Jobs Being Displaced
• New Job Roles Created
• Media and Entertainment
• Traditional Jobs Being Displaced
• New Job Roles Created

Chapter 4 Type of Disruptions Influenced by AI

• Overview
• Technological Disruption
• Operational Disruption
• Customer-Facing Disruption
• Competitive Landscape Shift

Chapter 5 Technological Disruptions

• Overview
• Key Trends in Technological Disruption
• Components of AI-Driven Technological Disruption
• Advanced ML and Deep Learning
• Generative AI
• Automation and Robotics
• Predictive Analytics
• Natural Language Processing
• Edge and Cloud AI
• AI as a General-Purpose Technology
• AI's Transformative Impact on Product Development and R&D

Chapter 6 Operational Disruptions

• Overview
• Key Trends in AI-Driven Operational Disruption
• Components of AI-Driven Operational Disruption
• Hyperautomation and Intelligent Workflow Orchestration
• Predictive and Prescriptive Analytics
• AI-Augmented Human Workforce
• Digital Twins and Real-Time Monitoring
• Dynamic Resource Allocation and Optimization
• Process Automation
• AI in Supply Chain and Logistics
• Challenges of AI in Supply Chain Management
• AI in ESG and Sustainable Operations Reporting

Chapter 7 Customer-Facing Disruptions

• Overview
• Key Trends in AI-Driven Customer-Facing Disruptions
• Components of AI-Driven Customer-Facing Disruption
• Conversational AI and Virtual Assistants
• Visual Search and Recommendation Systems
• Predictive Customer Intelligence
• Emotion and Sentiment Recognition
• AI-Driven Personalization
• Experience Design Powered by Behavioral AI
• Immersive AI in AR/VR Commerce

Chapter 8 Competitive Disruptions

• Overview
• Key Trends in AI-Driven Competitive Disruptions
• Components of AI-Driven Competitive Disruption
• AI-Native Business Models
• Proprietary Data and Network Effects
• Automation-enabled Cost Leadership
• Platform Play and Ecosystem Monetization
• AI Tools Lowering Barriers to Entry
• Startups vs. Incumbents
• AI as a Strategic Asset in M&A and Valuation
• Democratization of Innovation
• Market Shifts and Incumbent Challenges

Chapter 9 AI Impact on Major Industries

• Overview
• Healthcare
• Finance
• Manufacturing and Supply Chain
• Retail and E-commerce
• Education and Edtech
• Transportation and Logistics
• Media and Entertainment
• Others (Government Sectors, Infrastructure, Legal and Compliance)

Chapter 10 AI Disruption in Major Regions

• Overview
• North America
• Europe
• Asia-Pacific
• Rest of the World

Chapter 11 Case Studies of AI Disruptions

• Case Studies of Disruptions
• Healthcare
• Manufacturing and Supply Chain
• Transportation and Logistics
• Retail and e-Commerce
• Media and Entertainment

Chapter 12 Expert Opinions

• Quotes from Primary Respondents and Domain Experts
• How AI is Disrupting the Chemicals Industry
• How AI is Disrupting the Technology Industry
• How AI is Disrupting the Healthcare Industry
• How AI is Disrupting the Manufacturing Industry
• Emerging Narratives in the AI Disruption Debate
• Anthropic
• Meta
• Apple
• Salesforce
• Amazon (AWS/Robotics)
• Microsoft

Chapter 13 Future of AI Disruption

• Future of AI Disruption
• Forecasts and Predictions (2025-2030)
• Innovations
• Retrieval-Augmented Generation (RAG) and Knowledge-Grounding
• Parameter-Efficient Fine-Tuning
• Custom AI Accelerators and Rack-Scale Hardware
• Edge and On-device AI
• Agentic AI
• Artificial General Intelligence (AGI)
• Neuromorphic AI

Chapter 14 Appendix

Companies Featured

• Anthropic
• Meta
• Apple
• Salesforce
• Amazon (AWS/Robotics)
• Microsoft 

For more information about this report visit https://www.researchandmarkets.com/r/5v8p9k

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