2025 年全球人工智慧狀況

Global State of AI, 2025

出版日期: 2025年05月26日 | 出版商:

Frost & Sullivan | 英文 26 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

Frost & Sullivan IT 與商業決策者調查重點與成長機會(2024)

全球企業對人工智慧 (AI) 的認知和應用正在顯著加速。人工智慧技術的進步和可及性的提升，使企業能夠將 AI 無縫整合到業務中。近 90% 的 IT 和業務決策者認知到，人工智慧和機器學習對於實現其業務目標至關重要。人工智慧的應用正在擴展到所有業務職能，從孤立的用例發展到整個企業的廣泛應用。企業正在將人工智慧作為策略推動者，確保其整合與更廣泛的業務目標保持一致，並推動協調一致的數位轉型。

本研究呈現了 Frost & Sullivan 對人工智慧應用現況調查的主要發現。受訪者來自金融服務、醫療保健、零售、政府、科技和製造業等多個行業的高階 IT 決策者。研究探討的關鍵主題包括人工智慧應用現狀、企業採用人工智慧的關鍵目標、對特定人工智慧相關技術的需求以及領先的人工智慧應用模式。此分析也有助於了解企業正在採用的主要人工智慧相關技術。

Frost & Sullivan 也對技術供應商和服務供應商進行了單獨採訪，以了解他們對 AI 優先事項的見解，從而幫助最終用戶了解 AI 的優勢和挑戰（基於業內同行的觀點）。

主要發現
企業認知到人工智慧/機器學習在實現業務重點的重要性
企業採用人工智慧進入實施階段
提高業務效率是人工智慧投資的主要驅動力
不同業務職能部門的人工智慧採用情況仍然相似
人工智慧在各主要產業的應用不斷增加
新的用例
NLP 正成為所有 AI 技術的基礎
預測分析引領人工智慧用例，其次是虛擬代理/對話介面的使用增加
應對不斷變化的技術格局
混合雲端是人工智慧部署的首選數位基礎架構模型，但本地部署也在興起
資料隱私問題和評估投資報酬率的能力繼續挑戰人工智慧的採用
不斷變化的監管格局

成長的成功因素

關鍵成功因素與未來方向
建立引人注目的價值提案
加強IT服務與諮詢能力
關注業務相關利益者
應對不斷變化的技術格局

附錄

推動成長Growth Pipeline Engine（TM）機會
為何成長變得越來越困難？
The Strategic Imperative 8（TM）

後續步驟Next steps

成長機會的益處和影響
後續步驟Next steps
文件清單
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簡介目錄

Product Code: PFTV-69

Highlights and Growth Opportunities from a 2024, Frost & Sullivan Survey of IT and Business Decision-Makers

Enterprise awareness and adoption of artificial intelligence (AI) have accelerated significantly worldwide. Advances in AI technologies, combined with increased accessibility, are enabling businesses to integrate AI seamlessly into their operations. Nearly 90% of IT and business decision-makers recognize AI and machine learning as critical to achieving their business objectives. AI deployments are expanding across all business functions, moving beyond isolated use cases to enterprise-wide implementation. Organizations are increasingly leveraging AI as a strategic enabler, ensuring its integration aligns with broader business objectives and drives cohesive digital transformation.

In this study, Frost & Sullivan presents the survey's key findings about the state of adoption of AI. Respondents were drawn from senior IT decision makers across multiple verticals, including financial services, healthcare, retail, government, technology, and manufacturing. The major themes explored in the survey include the current state of AI deployment, key organizational goals of AI implementation, the demand for specific AI-related technologies, and the main AI deployment models. The analysis also gives readers an understanding of the prominent AI-related technologies that enterprises are adopting.

Frost & Sullivan separately interviewed technology vendors and service providers to obtain a view about AI priorities to help end users understand the benefits and challenges of AI (as cited by peers).

Global State of AI, 2025

Research Objectives and Methodology

Research Objectives and Methodology
Respondent Profile, AI: 2024

State of AI

Key Findings
Enterprises Recognize the Importance of AI/ML in Achieving Business Priorities
Enterprise AI Deployments Moving to Implementation Phase
Improving Operational Efficiency is a Key Driver for AI Investments
AI Deployments Continue to Witness Similar Adoption Across Business Functions
AI Deployments Increase Across Key Industry Verticals
Emerging Use Cases
NLP Remains the Foundation of All AI Technologies
Predictive Analytics Leads AI Application Use Cases, Followed by Increasing Use of Virtual Agents/Conversational Interfaces
Align to Transforming the Technology Landscape
Hybrid Cloud is the Preferred Digital Infrastructure Model for AI Deployments, Though On-Premises Deployments Have Seen a Rise
Data Privacy Concerns and Ability to Assess ROI Continue to Challenge AI Adoption
The Regulatory Landscape Continues to Evolve