AI 기술(AIT) 산업의 현황 : 2026년 2분기 리뷰

During the second quarter of 2026, artificial intelligence (AI) adoption continued to gain momentum, but the focus shifted from implementation to value creation. Organizations that had already deployed AI solutions began integrating them more deeply into day-to-day operations, with greater emphasis on improving productivity, reducing costs, and enhancing decision-making. AI-powered assistants and autonomous AI agents have become increasingly common across customer service, software development, cybersecurity, and business operations, enabling employees to automate routine tasks and focus on higher-value work. Enterprises also expanded the use of AI in industry-specific applications, including healthcare diagnostics, manufacturing optimization, financial analysis, and supply chain management, prioritizing business outcomes over experimentation.

Enterprises have increased investments in the infrastructure needed to support growing AI workloads. Spending remains strong on cloud platforms, AI accelerators, data centers, and edge computing solutions as organizations prepare for wider deployment of AI-driven services. At the same time, there is a greater focus on AI governance, data security, and regulatory compliance, reflecting the growing importance of responsible AI adoption. As businesses gain experience with AI, the focus has shifted from adoption to scaling, measuring impact, and building long-term competitive advantage. This signals a more mature AI market, where operational efficiency, business value, and sustainable growth are now key priorities.

Quarterly Research Review Scope

The report presents insights into the AI domain, covering the rapid evolution of intelligent systems across industries. It highlights key themes, including AI adoption, disruption, use cases, and investment trends. The AI domain spans a wide range of applications, including healthcare, security, industrial automation, and enterprise IT, offering a high-level perspective that generates interest while providing clarity on market dynamics, emerging opportunities, regulatory considerations, and ongoing technological advances. This broad coverage reflects how AI is transitioning from a supporting tool to a core component of business and operational strategies.

To support deeper understanding, the report includes analysis across multiple industries based on secondary research, supported by visual elements such as graphs, charts, and infographics that illustrate adoption levels, spending patterns, deployment trends, and investment flows. These insights highlight the growing influence of AI on global market structures and competitive positioning. For stakeholders seeking a more detailed evaluation, additional offerings are available, including syndicated reports, customized research, and data-driven deliverables. This structured approach is designed to meet diverse requirements, ranging from strategic planning to in-depth market and technology assessment within the AI landscape.

Given below is the list of reports that are published this quarter:

• AIT001D AI Adoption: A Global Perspective
• AIT003D AI Disruption: A Global Overview
• AIT002D AI Use Case Analysis: Global Outlook
• AIT004D Global AI Investment Trends & Spending Outlook

Table of Contents

Chapter 1 Industry Lens on Transformation and Growth

• State of the Artificial Intelligence Technology Industry
• Quarterly Research Review Scope
• Analyst Viewpoint

Chapter 2 AI Adoption - Quarterly Review

• State of AI Adoption
• BCC Research's AI Adoption Research Review Scope
• Impact Analysis on Major Industries
• Healthcare
• Banking, Financial Services, and Insurance (BFSI)
• Logistics and Supply Chain
• Retail and E-Commerce
• Education and EdTech
• Media and Entertainment
• Telecommunication
• Automotive
• Manufacturing
• Others (Agriculture, Aerospace and Defense, Construction, and Energy and Utilities)

Chapter 3 Executive Summary of AIT001D: AI Adoption: A Global Perspective

• Study Goals and Objectives
• Scope of Report
• Market Summary
• Adoption Viewpoint
• Investment Scenario
• Future Trends and Developments
• Industry Analysis
• Regional Insights
• Key Companies Insights
• Conclusion

Chapter 4 AI Disruption- Quarterly Review

• State of AI Disruption
• BCC Research's AI Disruption Research Review Scope
• Impact Analysis on Major Industries
• Chemicals and Materials
• Healthcare and Life Sciences
• Technology and Software
• Manufacturing and Industrial
• Energy, Utilities and Climate Tech

Chapter 5 Executive Summary of AIT003D: AI Disruption: A Global Overview

• 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 6 AI Use Case - Quarterly Review

• State of Industry - AI Use Case
• BCC Research's AI Use Case Research Review Scope
• Impact Analysis on Major Industries
• 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
• Aerospace and Defense
• Use Cases for AI in Aerospace and Defense
• Other Industries
• Use Cases for AI in Other Industries

Chapter 7 Executive Summary of AIT002D: AI Use Case Analysis: Global Outlook

• 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 8 AI Investment Trends & Spending - Quarterly Review

• State of AI Investment Trends and Spending
• BCC Research's AI Investment Trends and Spending Research Review Scope
• AI Investment Patterns Across Industries
• Healthcare
• Pharmaceuticals
• Clinical and Molecular Diagnostics
• Banking and Financial Services
• Logistics and Supply Chain
• Automotive
• Telecom
• Retail
• Food and Beverages
• Media and Entertainment
• Education and EdTech
• Others

Chapter 9 Executive Summary of AIT004D: Global AI Investment Trends & Spending Outlook

• Market Scope
• Market Summary
• AI Corporate Investment Trends
• Themes and Focus Areas
• Public Funding and Initiatives
• Enterprise Adoption: A More Sobering Reality
• Rising Concerns Over an Emerging AI Investment Bubble
• Conclusion

Chapter 10 Upcoming Reports

• List of Upcoming Reports