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市場調查報告書
商品編碼
1735872

2025年全球人工智慧成熟度評估

Global AI Maturity Assessment, 2025

出版日期: | 出版商: Frost & Sullivan | 英文 29 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

隨著意識的增強,企業加強了其人工智慧基礎

人工智慧(AI)有可能為經濟和社會帶來巨大利益。隨著組織從概念驗證驗證轉向企業部署 AI 技術,採用企業範圍的策略和藍圖對於避免延誤非常重要。因此,從技術部署的角度分析組織的AI 準備和成熟度非常重要。為了評估 AI 成熟度,Frost & Sullivan 對全球 700 多個組織中負責 AI 實施的IT 和業務決策者進行了一項調查。雖然許多組織認知到 AI 的價值,但他們成功應用 AI 技術來實現預期業務成果的能力取決於幾個因素,Frost & Sullivan 將這些因素作為其 AI 成熟度框架的一部分進行評估和分析。該框架著重於四個階段:明確 AI 策略和藍圖、資料準備、法規遵循和政策協調以及技術和部署。

本報告總結了研究成果,深入分析了企業機構的AI 應用整體成熟度、各垂直產業的AI 應用成熟度以及 AI 應用的各個階段。本報告還為技術供應商和服務供應商提供了 AI 就緒度的觀點,幫助他們根據特定參數評估潛在的客戶價值創造機會,並幫助最終用戶全面了解其 AI 應用成熟度。

目錄

研究目標和調查方法

  • 研究目標和調查方法

受訪者概況

轉型

  • 人工智慧成熟度框架
  • 技術採用:擴大人工智慧部署

成長機會分析

  • 企業人工智慧成熟度仍然較低
  • 主要調查結果
  • 各行業人工智慧成熟度
  • 人工智慧成熟度維度
  • 各地區人工智慧成熟度
  • 制定策略和人工智慧藍圖
  • 制定人工智慧策略和藍圖
  • 資料準備
  • 資料準備框架
  • 技術介紹
  • 技術採用:關鍵產業用例
  • 技術介紹
  • 法規遵從和政策協調
  • 設計人工智慧監管合規和政策措施時的關鍵考慮因素
  • 監管格局的持續演變

成長機會分析

  • 人工智慧成熟度:整個生態系統的成長機會
  • 引人注目的價值提案的關鍵參數
  • 開發端到端人工智慧能力
  • 從多樣化的生態系統中取得人工智慧解決方案

附錄

  • 推動Growth Pipeline Engine(TM)的成長機會
  • 為何成長變得越來越困難?

策略要務

後續步驟

  • 成長機會的益處和影響
  • 後續步驟
  • 附件列表
  • 免責聲明
簡介目錄
Product Code: PFUN-69

Amid Growing Awareness, Enterprises Strengthen AI Foundations

Artificial intelligence (AI) has the potential to deliver substantial benefits to both economies and societies. As organizations shift AI technology implementation from the proof-of-concept stage to enterprise deployment, employing an enterprise-wide strategy and roadmap is crucial to prevent delays. Therefore, it is important to analyze organizations' AI readiness or maturity in terms of technology deployment. To assess AI maturity, Frost & Sullivan has conducted a global survey of IT and business decision-makers responsible for AI purchases across more than 700 organizations. While many organizations realize the value of AI, the successful application of AI technologies to achieve desired business outcomes depends on several factors, which Frost & Sullivan has assessed and analyzed as part of the AI maturity framework. The framework focuses on the following 4 parameters: AI strategy and roadmap articulation; data readiness; regulatory compliance and policy alignment; and stage of technology and deployment.

This report presents the results of the survey. It provides a glimpse of the following: Overall maturity of AI adoption amongst organizations, maturity of AI adoption by industry verticals, and insights on the stages of AI maturity adoption. It also offers technology vendors and service providers a perspective on AI readiness concerning select parameters to assess potential opportunities that will create customer value and help end users understand the level of maturity in the overall landscape.

Table of Contents

Research Objectives and Methodology

  • Research Objectives and Methodology

Respondent Profile

Transformation

  • AI Maturity Framework
  • Technology Implementation: Scaling Up AI Deployments

Growth Opportunity Analysis

  • Enterprise AI Maturity Remains Low
  • Key Findings
  • AI Maturity by Industry
  • AI Maturity by Dimensions
  • AI Maturity by Region
  • Strategy and AI Roadmap Articulation
  • Building an AI Strategy and Roadmap
  • Data Readiness
  • Data Readiness Framework
  • Technology Implementation
  • Technology Implementation: Key Industry Use Cases
  • Technology Implementation
  • Regulatory Compliance and Policy Alignment
  • Key Considerations When Designing AI Regulatory Compliance and Policy Measures
  • Continuous Evolution of the Regulatory Landscape

Growth Opportunity Analysis

  • AI Maturity: Growth Opportunity for the Entire Ecosystem
  • Key Parameters for a Compelling Value Proposition
  • Development of End-to-end AI Capabilities
  • Procurement of AI Solutions from a Diverse Ecosystem

Appendix

  • Growth Opportunities Fuel the Growth Pipeline Engine
  • Why Is It Increasingly Difficult to Grow?

The Strategic Imperative

Next Steps

  • Benefits and Impacts of Growth Opportunities
  • Next Steps
  • List of Exhibits
  • Legal Disclaimer