2025 年全球人工智慧状况

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个工作天内

价格

简介目录

Frost & Sullivan IT 与商业决策者调查重点与成长机会(2024)

全球企业对人工智慧 (AI) 的认知和应用正在显着加速。人工智慧技术的进步和可及性的提升，使企业能够将 AI 无缝整合到业务中。近 90% 的 IT 和业务决策者认识到，人工智慧和机器学习对于实现其业务目标至关重要。人工智慧的应用正在扩展到所有业务职能，从孤立的用例发展到整个企业的广泛应用。企业正在将人工智慧作为策略推动者，确保其整合与更广泛的业务目标保持一致，并推动协调一致的数位转型。

本研究呈现了 Frost & Sullivan 对人工智慧应用现况调查的主要发现。受访者来自金融服务、医疗保健、零售、政府、科技和製造业等多个行业的高阶 IT 决策者。研究探讨的关键主题包括人工智慧应用现状、企业采用人工智慧的关键目标、对特定人工智慧相关技术的需求以及领先的人工智慧应用模式。此分析也有助于了解企业正在采用的主要人工智慧相关技术。

Frost & Sullivan 也对技术供应商和服务供应商进行了单独采访，以了解他们对 AI 优先事项的见解，从而帮助最终用户了解 AI 的优势和挑战（基于业内同行的观点）。

主要发现
企业认识到人工智慧/机器学习在实现业务重点的重要性
企业采用人工智慧进入实施阶段
提高业务效率是人工智慧投资的主要驱动力
不同业务职能部门的人工智慧采用情况仍然相似
人工智慧在各主要产业的应用不断增加
新的用例
NLP 正成为所有 AI 技术的基础
预测分析引领人工智慧用例，其次是虚拟代理/对话介面的使用增加
应对不断变化的技术格局
混合云端是人工智慧部署的首选数位基础架构模型，但本地部署也在兴起
资料隐私问题和评估投资报酬率的能力继续挑战人工智慧的采用
不断变化的监管格局

成长的成功因素

关键成功因素与未来方向
建立引人注目的价值提案
加强IT服务与咨询能力
关注业务相关利益者
应对不断变化的技术格局

附录

推动成长Growth Pipeline Engine（TM）机会
为何成长变得越来越困难？
The Strategic Imperative 8（TM）

后续步骤Next steps

成长机会的益处和影响
后续步骤Next steps
文件清单
免责声明

简介目录

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