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封面
市场调查报告书
商品编码
1735872

2025年全球人工智慧成熟度评估

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个工作天内

价格
简介目录

随着意识的增强，企业加强了其人工智慧基础

人工智慧 (AI) 有可能为经济和社会带来巨大利益。随着组织从概念验证验证转向企业部署 AI 技术，采用企业范围的策略和蓝图对于避免延误至关重要。因此，从技术部署的角度分析组织的 AI 准备和成熟度非常重要。为了评估 AI 成熟度，Frost & Sullivan 对全球 700 多个组织中负责 AI 实施的 IT 和业务决策者进行了一项调查。虽然许多组织认识到 AI 的价值，但他们成功应用 AI 技术来实现预期业务成果的能力取决于几个因素，Frost & Sullivan 将这些因素作为其 AI 成熟度框架的一部分进行评估和分析。该框架着重于四个阶段：明确 AI 策略和蓝图、资料准备、法规遵循和政策协调以及技术和部署。

该报告总结了研究成果，深入分析了企业机构的 AI 应用整体成熟度、各垂直产业的 AI 应用成熟度以及 AI 应用的各个阶段。该报告还为技术供应商和服务供应商提供了 AI 就绪度的观点，帮助他们根据特定参数评估潜在的客户价值创造机会，并帮助最终用户全面了解其 AI 应用成熟度。

目录

研究目标和调查方法

  • 研究目标和调查方法

受访者概况

转型

  • 人工智慧成熟度框架
  • 技术采用：扩大人工智慧部署

成长机会分析

  • 企业人工智慧成熟度仍然较低
  • 主要发现
  • 各行业人工智慧成熟度
  • 人工智慧成熟度维度
  • 各地区人工智慧成熟度
  • 制定策略和人工智慧蓝图
  • 制定人工智慧策略和蓝图
  • 资料准备
  • 资料准备框架
  • 技术介绍
  • 技术采用：关键产业用例
  • 技术介绍
  • 法规遵从和政策协调
  • 设计人工智慧监管合规和政策措施时的关键考虑因素
  • 监管格局的持续演变

成长机会分析

  • 人工智慧成熟度：整个生态系统的成长机会
  • 引人注目的价值提案的关键参数
  • 开发端到端人工智慧能力
  • 从多样化的生态系统中取得人工智慧解决方案

附录

  • 推动成长Growth Pipeline Engine（TM）机会
  • 为何成长变得越来越困难？

策略要务

后续步骤Next steps

  • 成长机会的益处和影响
  • 后续步骤Next steps
  • 附件列表
  • 免责声明
简介目录
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