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市場調查報告書
商品編碼
1450341
2024 年全球人工智慧情勢Global State of AI, 2024 |
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2023 年 Frost & Sullivan 調查重點以及 IT 與業務決策者的成長機會
Frost & Sullivan 在 2023 年底進行的一項調查發現，約 89% 的 IT 和業務決策者認為人工智慧將幫助他們實現以提高業務效率、支援創新和改善客戶體驗為中心的業務目標，並認為機器學習極為重要。類似比例的受訪者認為生成式人工智慧將對企業產生顛覆性影響。
Frost & Sullivan 展示了有關人工智慧採用狀況的重要發現。受訪者來自金融服務、醫療保健、零售、政府、科技和製造等多個行業的高階 IT 決策者。本次調查的主要主題包括人工智慧採用的現狀、人工智慧採用的關鍵組織目標、對特定人工智慧相關技術的需求以及領先的人工智慧採用模型。這種分析也使我們能夠了解公司正在實施的突出的人工智慧相關技術。
為了幫助最終用戶了解人工智慧的優勢和挑戰，Frost & Sullivan 也單獨採訪了技術供應商和服務供應商，以了解他們對人工智慧優先事項的看法（被業界同行引用）。
目錄
研究目的和調查方法
- 研究目的和調查方法
- 受訪者簡介
人工智慧的現狀
- 主要發現
- 公司認知到人工智慧/機器學習對於實現業務優先事項的重要性
- 企業人工智慧部署已超越概念驗證階段
- 企業AI部署進入實施階段
- 提高業務效率是人工智慧投資的關鍵驅動力
- 人工智慧部署持續進行，各業務職能部門也採用類似的做法
- 人工智慧在各行業的部署不斷增加
- 新用例
- NLP 正成為所有 AI 技術的基礎
- 預測分析引領人工智慧用例
- 混合雲端是人工智慧部署推薦的數位基礎架構模型
- 資料問題和評估投資回報率的能力繼續挑戰人工智慧的實施
- 不斷變化的監管格局
成長成功因素
- 成功因素與未來方向
- 建立令人信服的價值提案
- 加強IT服務與諮詢能力
- 關注 CXO 和業務相關人員
- 適應不斷變化的技術格局
附錄
- 成長機會推動Growth Pipeline Engine（TM）
- 為什麼成長如此困難？
- The Strategic Imperative 8（TM）
- 免責聲明
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
