AI Disruption: A Global Overview

Report Scope

This report comprehensively analyzes how AI disrupts industries, organizations and societies across technological, operational, customer-facing and competitive dimensions. 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 real-world use cases and 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 base year for the market study is 2024, with estimates and forecasts for 2025 through 2030. Market estimates are valued in U.S. dollars (millions). The study covers current market and technological conditions involving real-time case studies, implementation data and short-term trends. This is followed by forecast (2025 through 2030), including AI maturity roadmaps, workforce evolution, disruption inflection points, feedback from key industry players, investment trends and regulatory timelines.

Report Includes

An overview of the types of disruptions influenced by AI, e.g., technological, operational, customer-facing, or shifts in the competitive landscape

Information on operational disruptions, which focuses on how AI is changing core operations, workflows and supply chains

Discussion of the transformation or replacement of job functions, as well as shifts in the skill demand across various industries

Competitive disruption and market entry, i.e., lowering of market entry barriers due to AI

Analysis of disruption in customer experience and discussion of how AI is transforming user experience, personalization and customer support

Coverage of case studies of companies that have undergone major disruption due to AI adoption

Expert quotes on AI disruption from primary respondents Show more