人工智慧技術（AI IT）產業現況：2026年第二季展望

2026 年第二季度，人工智慧 (AI) 的應用繼續加速發展，但重點從實施轉向價值創造。

已經實施人工智慧解決方案的組織開始將人工智慧更深入融入日常運營，更加重視提高生產力、降低成本和增強決策能力。人工智慧助理和自主人工智慧代理在客戶服務、軟體開發、網路安全和業務運營等領域日益普及，使員工能夠自動化處理日常任務​​，專注於更高價值的工作。企業也將人工智慧應用於醫療診斷、生產最佳化、財務分析和供應鏈管理等特定產業領域，更加重視業務成果而非實驗。

企業正在加大對基礎設施的投資，以支援日益成長的人工智慧工作負載。隨著各組織為更廣泛部署人工智慧驅動的服務做好準備，雲端平台、人工智慧加速器、資料中心和邊緣運算解決方案的支出依然強勁。同時，企業越來越關注人工智慧管治、資料安全和合規性，反映出負責任地採用人工智慧的重要性日益凸顯。隨著企業在人工智慧領域累積經驗，其關注點正從部署轉向規模化、衡量影響力以及建立長期競爭優勢。這顯示人工智慧市場日趨成熟，營運效率、商業價值和永續成長已成為重中之重。

季度調查審查範圍

本報告深入剖析人工智慧領域，涵蓋智慧系統在各產業的快速發展。報告重點關注人工智慧的應用、顛覆性變革、用例和投資趨勢等關鍵主題。人工智慧的應用範圍廣泛，包括醫療保健、安全、工業自動化和企業IT等，報告提供了一個引人入勝的高屋建瓴的觀點，清晰闡述了市場動態、新興機會、監管考慮和持續的技術進步。如此廣泛的覆蓋範圍反映了人工智慧正從單純的輔助工具轉變為業務和營運策略的核心要素。

為了幫助讀者更深入地理解人工智慧，本報告基於二手研究，結合圖表、圖形和資訊圖等視覺化元素，對多個行業進行了分析，直覺地展現了人工智慧的採用水平、支出模式、採用趨勢和投資流向。這些洞察凸顯了人工智慧對全球市場結構和競爭格局日益成長的影響。此外，我們也為尋求更詳細評估的相關人員提供其他服務，包括企業聯合組織報告、客製化研究和數據驅動成果。這種系統化的方法旨在滿足從策略規劃到人工智慧領域深入的市場和技術評估等各種需求。

以下是本季發布的報告清單：

• AIT001D，人工智慧導論：全球觀點
• AIT003D，人工智慧驅動的轉型：全球概覽
• AIT002D，人工智慧應用案例分析：全球展望
• AIT004D，全球人工智慧投資趨勢與支出預測

目錄

第1章：從產業觀點檢視轉型與成長

• 人工智慧技術產業的現狀
• 季度調查審查範圍
• 分析師意見

第2章：人工智慧實施：季度回顧

• 人工智慧實施現狀
• BCC校長研究審查範圍
• 對主要產業的影響分析
• 衛生保健
• 銀行、金融服務和保險（BFSI）
• 物流和供應鏈
• 零售與電子商務
• 教育及教育科技
• 媒體與娛樂
• 電訊
• 車
• 製造業
• 其他產業（農業、航太和國防、建築、能源和公共產業）

第3章：AIT001D「人工智慧導論：全球觀點」執行摘要

• 學習目標和目的
• 調查範圍
• 市場概況
• 引言觀點
• 投資情境
• 未來趨勢與發展
• 產業分析
• 區域洞察
• 來自領先企業的洞見
• 結論

第4章：人工智慧顛覆性影響：季度回顧

• 人工智慧顛覆的現狀
• BCC校長研究審查範圍
• 對主要產業的影響分析
• 化學與材料
• 醫療保健和生命科學
• 科技與軟體
• 製造業和工業
• 能源、公共產業和氣候變遷減緩技術

第5章：AIT003D《人工智慧轉型：全球概覽》執行摘要

• 學習目標和目的
• 進行這項調查的原因
• 調查範圍
• 市場概況
• 顛覆性觀點
• 未來趨勢與發展
• 產業分析
• 區域洞察
• 結論

第6章：人工智慧應用案例：季度回顧

• 產業現況：人工智慧應用案例
• BCC校長研究審查範圍
• 對主要產業的影響分析
• 衛生保健
• 人工智慧在醫療領域的應用案例
• 金融與銀行
• 人工智慧在金融和銀行業的應用案例
• 物流
• 人工智慧在物流領域的應用案例
• 零售與電子商務
• 人工智慧在零售和電子商務的應用案例
• 教育及教育科技
• 人工智慧在教育和教育科技領域的應用案例
• 媒體與娛樂
• 人工智慧在媒體和娛樂領域的應用案例
• 電訊
• 人工智慧在電信領域的應用案例
• 石油和天然氣
• 人工智慧在石油和天然氣產業的應用案例
• 車
• 人工智慧在汽車產業的應用案例
• 製造業
• 人工智慧在製造業的應用案例
• 航太/國防
• 人工智慧在航太和國防領域的應用案例
• 其他行業
• 人工智慧在其他產業的應用案例

第7章：AIT002D《人工智慧用例分析：全球展望》執行摘要

• 學習目標和目的
• 調查範圍
• 進行這項調查的原因
• 市場概況
• 以技術為中心的觀點
• 產業特定觀點
• 未來趨勢與發展
• 結論

第8章：人工智慧投資趨勢與支出：季度回顧

• 人工智慧投資和實際支出的趨勢
• BCC校長研究審查範圍
• 各產業的AI投資趨勢
• 衛生保健
• 製藥
• 臨床和分子診斷
• 銀行和金融服務
• 物流和供應鏈
• 車
• 溝通
• 零售
• 食品/飲料
• 媒體與娛樂
• 教育及教育科技
• 其他

第9章 AIT004D「全球人工智慧投資趨勢與支出展望」執行摘要

• 市場研究
• 市場概況
• 企業人工智慧投資趨勢
• 主題和重點領域
• 公共資金和舉措
• 企業採用人工智慧：更嚴峻的現實
• 人們越來越擔心人工智慧投資泡沫的跡象。
• 結論

第10章：未來報告

• 即將發布的報告列表

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

List of Tables

• Table 1 : AI Services Provided by IBM
• Table 2 : AI Applications in Media and Entertainment
• Table 3 : AI Applications in Automotive Sector
• Table 4 : AI Applications in Agriculture
• Table 5 : AI Applications in Aerospace
• Table 6 : Pharmaceutical and Medical Device Companies' Collaborations with NVIDIA Corp., 2025 and 2026
• Table 7 : Upcoming Reports

List of Figures

• Figure 1 : Sentiment of Future of GenAI technology in BFSI and Government Sector, 2025
• Figure 2 : The Use of AI in Finance, 2024