2025 年人工智慧：全球趨勢與當前企業狀況

AI in 2025: Global Trends and Enterprise Reality

出版日期: 2026年01月19日 | 出版商:

Frost & Sullivan | 英文 40 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

最新數據顯示了推動採用的因素、挑戰、趨勢和策略促進因素

人工智慧 (AI) 領域正經歷著快速變革，全球企業都在努力應對從實驗到生產的複雜挑戰。《2025 年全球人工智慧趨勢報告》及時且深入地探討了企業如何採用、部署和擴展人工智慧技術，從而提升業務價值和競爭優勢。該報告基於最新的全球調查數據和專家分析，揭示了定義當今人工智慧現狀的不斷變化的優先事項、戰略和挑戰。

本研究全面檢驗了人工智慧的應用，從基礎技術到先進的自主人工智慧，並識別了投資促進因素和發展障礙。它從多角度分析了組織如何確定應用場景的優先順序、選擇部署模式以及平衡創新與風險管理。本研究特別關注自主人工智慧的興起，深入探討了企業的準備、預期影響以及從零散試點到企業級轉型所需的組織變革。

本報告也探討了基礎設施、監管和採購趨勢的重要性，並揭示了企業如何利用成熟供應商和新興創新者。報告分析了供應商選擇中可靠性、品質和易用性的重要性，並探討了各組織如何應對新的合規要求和不斷演變的管治框架。

《2025年全球人工智慧現況》將量化研究成果與策略觀點結合，為技術領導者、企業主管和政策制定者提供實際的決策基礎。讀者將清楚了解當前市場狀況、變革促進因素，以及如何在創新加速和日益複雜的環境中佔據有利地位。

主要發現
人工智慧技術的應用保持穩定
提高營運效率是人工智慧投資的主要驅動力。
人工智慧的應用在核心業務領域被優先考慮
人工智慧在各大產業的應用日益普及
各行業領先和新興的人工智慧應用案例
語音技術是企業最重要的投資重點之一。
預測分析和情緒辨識引領人工智慧應用案例
混合雲端是人工智慧實施的最佳數位基礎架構模式。
監管不確定性、投資報酬率 (ROI) 和人才短缺是人工智慧普及應用的主要障礙。
主要地區人工智慧監管的新興趨勢

基於代理的人工智慧

攜手合作，共創技術格局
人工智慧的主動應用仍處於早期階段
企業採用基於代理的人工智慧的計劃
擴展基於代理的人工智慧的關鍵障礙

推動人工智慧應用的策略因素

採購趨勢顯示出成熟供應商和新興創新者並存的局面。
採購趨勢呈現「外購」與「自主研發」結合的趨勢。
企業在採用人工智慧時優先考慮品質和可靠性。

附錄

成長機會驅動Growth Pipeline Engine™
為什麼經濟成長變得越來越困難？
The Strategic Imperative 8(TM)

下一步

成長機會帶來的益處和影響
下一步
圖表清單
免責聲明

簡介目錄

Product Code: KC49-69

What the Latest Data Reveals About Adoption Drivers and Challenges, Trends, and Strategic Enablers

The artificial intelligence (AI) landscape is undergoing rapid transformation, with enterprises worldwide navigating a complex journey from experimentation to operationalization. The Global State of AI 2025 report delivers a timely, in-depth exploration of how organizations are adopting, deploying, and scaling AI technologies to drive business value and competitive advantage. Drawing on fresh global survey data and expert analysis, the report uncovers the evolving priorities, strategies, and challenges that define today's AI reality.

This study examines the full spectrum of AI adoption, from foundational technologies to advanced agentic AI, highlighting the drivers that motivate investment and the barriers that slow progress. It provides a nuanced look at how organizations prioritize use cases, select deployment models, and balance innovation with risk management. Special attention is given to the emergence of agentic AI, with insights into enterprise readiness, anticipated impact, and the organizational shifts required to move from isolated pilots to enterprise-wide transformation.

The report also investigates the critical role of infrastructure, regulatory developments, and procurement trends, revealing how enterprises are leveraging both established vendors and emerging innovators. It explores the importance of trust, quality, and ease of implementation in vendor selection, and analyzes how organizations are responding to new compliance demands and evolving governance frameworks.

By synthesizing quantitative findings with strategic perspectives, Global State of AI 2025 equips technology leaders, business executives, and policymakers with actionable intelligence to inform decision-making. Readers will gain a clear understanding of where the market stands, what is driving change, and how to position for success in an environment defined by accelerating innovation and increasing complexity.

Research Objectives and Methodology

Research Objectives and Methodology
Respondent Profile, AI: 2025

AI Adoption Trends, Drivers, and Deployment Realities

Key Findings
AI Technologies Adoption Remains Stable
Improving Operational Efficiency is a Key Driver for AI Investments
AI Deployments are Prioritized in Core Operational Areas
AI Deployments Increase Across Key Industry Verticals
Primary and Emerging AI Use Cases by Vertical Industry
Speech-Based Technology is the Top Investment Priority for Enterprises
Predictive Analytics and Emotion Recognition Lead AI Application Use Cases
Hybrid Cloud is the Preferred Digital Infrastructure Model for AI Deployments
Regulatory Uncertainty, ROI, and Talent are the Top Barriers to AI Implementation
Emerging AI Regulations by Key Regions