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市场调查报告书
商品编码
1450341
2024 年全球人工智慧情势Global State of AI, 2024 |
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2023 年 Frost & Sullivan 调查重点以及 IT 与业务决策者的成长机会
Frost & Sullivan 在 2023 年底进行的一项调查发现，约 89% 的 IT 和业务决策者认为人工智慧将帮助他们实现以提高业务效率、支援创新和改善客户体验为中心的业务目标，并认为机器学习极为重要。类似比例的受访者认为生成式人工智慧将对企业产生颠覆性影响。
Frost & Sullivan 展示了有关人工智慧采用状况的重要发现。受访者来自金融服务、医疗保健、零售、政府、科技和製造等多个行业的高阶 IT 决策者。本次调查的主要主题包括人工智慧采用的现状、人工智慧采用的关键组织目标、对特定人工智慧相关技术的需求以及领先的人工智慧采用模型。这种分析也使我们能够了解公司正在实施的突出的人工智慧相关技术。
为了帮助最终用户了解人工智慧的优势和挑战，Frost & Sullivan 也单独采访了技术供应商和服务供应商，以了解他们对人工智慧优先事项的看法（被业界同行引用）。
目录
研究目的和调查方法
- 研究目的和调查方法
- 受访者简介
人工智慧的现状
- 主要发现
- 公司认识到人工智慧/机器学习对于实现业务优先事项的重要性
- 企业人工智慧部署已超越概念验证阶段
- 企业AI部署进入实施阶段
- 提高业务效率是人工智慧投资的关键驱动力
- 人工智慧部署持续进行，各业务职能部门也采用类似的做法
- 人工智慧在各行业的部署不断增加
- 新用例
- NLP 正成为所有 AI 技术的基础
- 预测分析引领人工智慧用例
- 混合云端是人工智慧部署推荐的数位基础架构模型
- 资料问题和评估投资回报率的能力继续挑战人工智慧的实施
- 不断变化的监管格局
成长成功因素
- 成功因素与未来方向
- 建立令人信服的价值提案
- 加强IT服务与咨询能力
- 关注 CXO 和业务相关人员
- 适应不断变化的技术格局
附录
- 成长机会推动Growth Pipeline Engine（TM）
- 为什么成长如此困难？
- The Strategic Imperative 8（TM）
- 免责声明
Highlights and Growth Opportunities from a 2023 Frost & Sullivan Survey of IT and Business Decision Makers
About 89% of IT and business decision makers that Frost & Sullivan surveyed in late 2023 believe artificial intelligence and machine learning are crucial, very important, or important in achieving business goals revolving around increasing operational efficiency, supporting innovation, and improving customer experience. An equal percentage of respondents believe generative AI will be disruptive for enterprises.
In this study, Frost & Sullivan presents the key findings of the survey 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).
Table of Contents
Research Objectives and Methodology
- Research Objectives and Methodology
- Respondent Profile
State of AI
- Key Findings
- Enterprises Recognize the Importance of AI/ML in Achieving Business Priorities
- Enterprise AI Deployments Move Beyond Proof-of-Concept Stage
- 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 Industry Verticals
- Emerging Use Cases
- NLP is Becoming the Foundation of All AI Technologies
- Predictive Analytics Leads AI Application Use Cases
- Hybrid Cloud is the Preferred Digital Infrastructure Model for AI Deployments
- Data Concerns and Ability to Assess ROI Continue to Challenge AI Adoption
- The Regulatory Landscape Continues to Evolve
Growth Success Factors
- Success Factors and the Way Forward
- Build a Compelling Value Proposition
- Strengthen IT Services and Advisory Capabilities
- Focus on CXO and Business Stakeholders
- Align to Transforming the Technology Landscape
Appendix
- Growth Opportunities Fuel the Growth Pipeline Engine™
- Why is it Increasingly Difficult to Grow?
- The Strategic Imperative 8™
- Legal Disclaimer
