全球雲端專案市場:報告與資料庫(2024)
市場調查報告書
商品編碼
1567373

全球雲端專案市場:報告與資料庫(2024)

Global Cloud Projects Report and Database 2024

出版日期: | 出版商: IoT Analytics GmbH | 英文 188 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

關於資料庫

2024年全球雲端專案報告與資料庫是一個結構化儲存庫,包含五家最大雲端供應商(微軟、AWS、Google、甲骨文、Alibaba)的8,374個專案。

範例視圖


清單中的所有計畫都是公開訊息,並發佈在每個供應商的網站上(~2024年 6月)。包含五家供應商中任何一家的公有雲 IaaS 或雲端 PaaS 服務的計畫都包含在清單中。此清單列出了所有計畫的單獨雲端服務,共有 40,677個條目。該資料庫附帶一份 188 頁的報告,分析來自最大雲端供應商的8,000個客戶實施情況,包括深入探討物聯網雲端專案。

範例視圖


回答以下問題:

  • 5家主要公司的比較:依國家/地區/產業/客戶規模
  • 過去一年每個超大規模企業添加的案例研究的數量和位置(區域/行業/規模)
  • 此資料集與2023年的比較:最顯著的變化是什麼(服務/產業/地區)
  • 過去一年新增的人工智慧和生成式人工智慧案例研究數量:哪些供應商處於領先地位以及涵蓋哪些產業最多?
  • 每個超大規模提供者依行業劃分的主要客戶
  • 哪些雲端服務使用量最多且成長最快?
  • 每個供應商致力於多少個 IoT 專案?
  • 物聯網專案在哪些產業最為突出?
  • 哪些雲端產品可以補充物聯網專案(即哪些產品出現得最多)?

範例視圖


上市公司

  • Alibaba
  • AWS
  • Google
  • Microsoft
  • Oracle

目錄

第1章 執行摘要

第2章 簡介

第3章 關於本報告

  • 1.關於本報告:對五家主要雲端供應商的8,473個客戶案例研究進行分析
  • 2.關於本報告:研究方法
  • 3.關於本報告:目標產品
  • 4.關於此報告:Excel 資料庫中包含的其他分析
  • 5.包含個案研究概述(1/7):依公司、地區和規模分類
  • 6.包含個案研究概述(2/7):依產業
  • 7.包含個案研究概述(3/7):依製造細分市場
  • 8.包含個案研究概述(4/7):依產業/地區
  • 9.包含個案研究摘要(5/7):依前10個國家劃分
  • 10.包含個案研究摘要(6/7):依產品類型
  • 11.包含個案研究摘要(7/7):依產品子類型
  • 12.Excel資料庫代表性案例:1. Bosch (Microsoft)
  • 13.Excel資料庫代表性案例:2. Toyota (AWS)
  • 14.Excel資料庫代表性案例:3. ASML(Google)
  • 15.Excel資料庫代表性案例:4. Siemens Mobility (Oracle)
  • 16.Excel資料庫代表性案例:5. Genetic Plus (Alibaba)

第4章 新案例研究

  • 1.新案例研究:概述/要點
  • 2.本章 所包含的案例研究
  • 3.新案例研究概述(1/4):依供應商分類
  • 4.新案例研究概述(1/4):依行業
  • 5.新案例研究摘要(1/4):依製造細分市場劃分
  • 6.新案例研究概述(1/4):依地區
  • 7.新的AI 案例研究(1/2):概述
  • 8.新的AI 案例研究(2/2):生成式 AI 概述
  • 9.依供應商的新案例研究(1/2):產業概覽
  • 10.依供應商的新案例研究(2/2):依地區概述
  • 11.成長最快的產品(依供應商劃分)(1/3):AWS
  • 12.AWS 如何行銷其成長最快的產品?
  • 13.成長最快的產品(依供應商分類)(2/3):Microsoft
  • 14.Microsoft 如何行銷其成長最快的產品?
  • 15.成長最快的產品(依供應商劃分)(3/3):Google
  • 16.Google 如何行銷其成長最快的產品?

第5章 雲廠商比較

  • 1.雲端供應商比較:概述/要點
  • 2.雲廠商概況:各大公司的客戶群不同
  • 3.依地區的供應商比較(1/7):概述
  • 4.依地區的供應商比較(2/7):依地區
  • 5.依地區的供應商比較(3/7):前10名的國家/地區
  • 6.依地區的供應商比較(4/7):北美
  • 7.依地區的供應商比較(5/7):歐洲、中東、非洲
  • 8.依地區的供應商比較(6/7):亞太地區
  • 9.依地區的供應商比較(7/7):南美洲
  • 10.依行業劃分的供應商比較(1/5):概述
  • 11.依行業劃分的供應商比較(2/5):依行業劃分的主要客戶
  • 12.依行業劃分的供應商比較(3/5):製造細分市場
  • 13.依產業劃分的供應商比較(4/5):製造業客戶
  • 14.依產業劃分的供應商比較(5/5):ICT 細分市場
  • 15.依客戶規模的供應商比較:概述
  • 16.依產品類型的供應商比較(1/2):概述
  • 17.依產品類型的供應商比較(2/2):依產品子類型

第6章 雲端產品/服務比較

  • 1.雲端產品/服務比較:概述/重點
  • 2.所有案例研究中排名前20 的產品
  • 3.個案研究最多的5個產業
  • 4.產業深度研究(1/3):ICT/製造業
  • 5.產業深度調查(2/3):金融/零售
  • 6.產業深度研究(3/3):醫療
  • 7.依產品類型的案例研究
  • 8.產品類型詳細資料(1/3):PaaS 和 IaaS
  • 9.產品類型詳細資料(2/3):應用與管理
  • 10.產品類型詳細資料(3/3):服務與執行時間軟體
  • 11.產品子類型分佈(1/3):PaaS
  • 12.產品子類型分佈(2/3):IaaS 和應用程式
  • 13.產品子類型分佈(3/3):管理、服務、執行時間軟體

第7章 IoT 詳細資料

  • 1.深入了解物聯網:概述/要點
  • 2.深入了解物聯網:概述
  • 3.深入了解物聯網:雲端供應商概述
  • 4.案例研究中包含的物聯網產品
  • 5.物聯網案例研究細分
  • 6.依產業劃分的物聯網案例研究
  • 7.供應商物聯網案例研究的分佈(1/3):依地區
  • 8.供應商物聯網案例研究的分佈(2/3):依產業
  • 9.供應商物聯網案例研究的分佈(3/3):依製造業細分
  • 10.補充 IoT*個案研究的產品

第8章 AI 詳細資料

  • 1.第8章 深入探討:人工智慧:概述/要點
  • 2.深入探討人工智慧:概述
  • 3.深入探討人工智慧:雲端供應商概述
  • 4.新的人工智慧案例研究(1/3):依細分市場
  • 5.新的人工智慧案例研究(2/3):按製造業細分領域
  • 6.新的AI 案例研究(3/3):依供應商/產業分類
  • 7.案例研究中包含的AI/ML 產品
  • 8.人工智慧案例研究細分
  • 9.依行業劃分的人工智慧案例研究
  • 10.人工智慧案例研究(按優點)
  • 11.供應商 AI個案研究依地區分佈(1/3)
  • 12.供應商 AI個案研究依產業分佈(2/3)
  • 13.依製造細分市場劃分的供應商 AI 案例研究分佈(3/3)
  • 14.補充人工智慧案例研究的產品
  • 15.新的生成式 AI 案例研究(1/2):依細分市場
  • 16.新型生成式人工智慧案例研究(2/2):依製造業細分領域
  • 17.突破:製造商利用生成式 AI 做什麼?
  • 18.可以從生成式 AI 案例研究中受益的產業
  • 19.透過生成式人工智慧改善關鍵流程部門的案例研究
  • 20.生成式人工智慧在哪裡使用? - 70 項企業活動中產生的人工智慧熱圖

第9章 供應商詳細資料

  • 1.供應商詳細資料:概述/要點
  • 2.微軟案例研究:依地區和客戶規模
  • 3.微軟案例研究:依行業
  • 4.微軟案例研究:按製造細分市場
  • 5.十大產業區域分佈案例
  • 6.各地區產業分佈個案分析
  • 7.Microsoft 案例研究中的產品類型
  • 8.15個最常用的Microsoft 產品
  • 9.產品子類型分佈(1/3):PaaS
  • 10.產品子類型分佈(2/3):應用程式和 IaaS
  • 11.產品子類型分佈(3/3):管理、服務、運行時
  • 12.AWS 案例研究:按區域和客戶規模
  • 13.AWS 案例研究:依行業
  • 14.AWS 案例研究:依製造細分市場
  • 15.十大產業區域分佈案例
  • 16.各地區產業分佈個案分析
  • 17.AWS 案例研究中的產品類型
  • 18.15個最常用的AWS 產品
  • 19.產品子類型分佈(1/3):PaaS
  • 20.產品子類型分佈(2/3):應用程式和 IaaS
  • 21.產品子類型分佈(3/3):管理、服務、運行時
  • 22.Google 案例研究:依地區和客戶規模劃分
  • 23.Google 案例研究:依行業
  • 24.Google 案例研究:依製造細分市場劃分
  • 25.十大產業區域分佈案例
  • 26.各地區產業分佈個案分析
  • 27.Google 案例研究中的產品類型
  • 28.15 個最常用的 Google 產品
  • 29.產品子類型分佈(1/3):PaaS
  • 30.產品子類型分佈(2/3):應用程式和 IaaS
  • 31.產品子類型分佈(3/3):管理、服務、運行時
  • 32.Oracle 案例研究:依地區和客戶規模
  • 33.Oracle 案例研究:依行業
  • 34.Oracle 案例研究:依製造細分市場
  • 35.十大產業區域分佈案例
  • 36.各地區產業分佈個案分析
  • 37.Oracle 案例研究中的產品類型
  • 38.15個最常用的Oracle 產品
  • 39.產品子類型分佈(1/3):PaaS
  • 40.產品子類型分佈(2/3):應用程式和 IaaS
  • 41.產品子類型分佈(3/3):管理、服務、運行時
  • 42.Alibaba案例研究:依地區和客戶規模劃分
  • 43.Alibaba案例研究:依行業分類
  • 44.Alibaba案例研究:依細分市場的製造
  • 45.十大產業區域分佈案例
  • 46.各地區產業分佈個案分析
  • 47.Alibaba案例研究中的產品類型
  • 48.15 種最常用的Alibaba產品
  • 49.產品子類型分佈(1/3):PaaS
  • 50.產品子類型分佈(2/3):應用程式和 IaaS
  • 51.產品子類型分佈(3/3):管理、服務、運行時

第10章 附錄

第11章 關於 IoT 分析

簡介目錄

About the database

The "Global Cloud Projects Report and Database 2024" is a structured repository of 8,374 projects from five of the largest cloud vendors (Microsoft, AWS, Google, Oracle, Alibaba).

SAMPLE VIEW


All projects in the list represent public information and have been published on the respective vendor's website (as of June 2024). In order for a project to be included in the list, it needs to include either a public cloud IaaS or cloud PaaS service from one of the five vendors. The list has 40,677 total entries as every individual cloud service for every project is listed. Accompanying the database is a 188-page report analyzing 8,000 customer implementations of the largest cloud vendors, including a deep dive into IoT cloud projects.

SAMPLE VIEW


has the highest share. The surge of AI can be seen by the products that grew the most in the past year (mentions in case studies) which are Amazon SageMaker, Azure OpenAI Service, and Google Vertex AI for AWS, Microsoft, and Google respectively.

Questions answered:

  • How do AWS, Microsoft, Google, Oracle, and Alibaba compare by country/region/industry/customer size?
  • How many case studies did each hyperscaler add in the past year and where (region/industry/size)?
  • How does this dataset compare to 2023? What are the most notable changes (services/industries/regions)?
  • How many AI and GenAI case studies were added in the past year? Which vendors are leading and which industries are featured the most?
  • Who are some of the key clients for each hyperscaler by industry?
  • Which cloud services are most often used and which cloud services are the fastest growing?
  • How many IoT projects is each vendor highlighting?
  • In which industries are IoT projects most prominent?
  • Which cloud products compliment (i.e., appear most often) the IoT projects?

SAMPLE VIEW


Companies mentioned:

A selection of companies mentioned in the report.

  • Alibaba
  • AWS
  • Google
  • Microsoft
  • Oracle

Table of Contents

1. Executive summary

2. Introduction

  • 1. Starting point: The "cloud" remains important
  • 2. The cloud market (hyperscalers only) reached $XX in 2023-XX leading
  • 3. What is the "cloud"-definition
  • 4. 6 Public cloud building blocks
  • 5. Each of the six building blocks consists of multiple elements

3. About the report

  • 1. About this report: Analysis of 8,473 known customer stories of the leading five cloud providers
  • 2. About this report-methodology
  • 3. About this report-products that are in scope
  • 4. About this report: Extra analysis present in the Excel database
  • 5. Overview of included case studies (1/7): By company, region, and size
  • 6. Overview of included case studies (2/7): By industry
  • 7. Overview of included case studies (3/7): By manufacturing subsegment
  • 8. Overview of included case studies (4/7): By industry and region
  • 9. Overview of included case studies (5/7): By top 10 countries
  • 10. Overview of included case studies (6/7): By product type
  • 11. Overview of included case studies (7/7): By product sub-type
  • 12. 5 representative case studies in the Excel database: 1. Bosch (Microsoft)
  • 13. 5 representative case studies in the Excel database: 2. Toyota (AWS)
  • 14. 5 representative case studies in the Excel database: 3. ASML (Google)
  • 15. 5 representative case studies in the Excel database: 4. Siemens Mobility (Oracle)
  • 16. 5 representative case studies in the Excel database: 5. Genetic Plus (Alibaba)

4. New case studies

  • 1. Chapter 4: New case studies - Overview and key takeaways
  • 2. Case studies included in this chapter
  • 3. New case studies overview (1/4): By vendor
  • 4. New case studies overview (2/4): By industry
  • 5. New case studies overview (3/4): By manufacturing subsegment
  • 6. New case studies overview (4/4): By region
  • 7. New AI case studies (1/2): Overview
  • 8. New AI case studies (2/2): GenAI overview
  • 9. New case studies by vendor (1/2): Industry overview
  • 10. New case studies by vendor (2/2): Regional overview
  • 11. Fastest growing products by vendor (1/3): AWS
  • 12. How is AWS marketing its highest growth products?
  • 13. Fastest growing products by vendor (2/3): Microsoft
  • 14. How is Microsoft marketing its highest growth products?
  • 15. Fastest growing products by vendor (3/3): Google
  • 16. How is Google marketing its highest growth products?

5. Cloud vendor comparison

  • 1. Chapter 5: Cloud vendor comparison - Overview and key takeaways
  • 2. Cloud vendor overview: Main players have different customer footprints
  • 3. Regional vendor comparison (1/7): Overview
  • 4. Regional vendor comparison (2/7): By region
  • 5. Regional vendor comparison (3/7): By top 10 countries
  • 6. Regional vendor comparison (4/7): North America
  • 7. Regional vendor comparison (5/7): EMEA
  • 8. Regional vendor comparison (6/7): APAC
  • 9. Regional vendor comparison (7/7): South America
  • 10. Vendor comparison by industry served (1/5): Overview
  • 11. Vendor comparison by industry served (2/5): Key customers by industry
  • 12. Vendor comparison by industry served (3/5): Mfg. subsegments
  • 13. Vendor comparison by industry served (4/5): Manufacturing customers
  • 14. Vendor comparison by industry served (5/5): ICT subsegments
  • 15. Vendor comparison by customer size: Overview
  • 16. Vendor comparison by product type (1/2): Overview
  • 17. Vendor comparison by product type (2/2): By product sub-type

6. Cloud products/services comparison

  • 1. Chapter 6: Cloud products/services comparison - Overview and key takeaways
  • 2. 20 most highlighted products across all case studies
  • 3. Five industries with the most case studies
  • 4. Industry deep dives (1/3): ICT & Manufacturing
  • 5. Industry deep dives (2/3): Finance & Retail
  • 6. Industry deep dives (3/3): Health
  • 7. Case studies by product type
  • 8. Product type deep dives (1/3): PaaS & IaaS
  • 9. Product type deep dives (2/3): Applications & Management
  • 10. Product type deep dives (3/3): Services & Runtime software
  • 11. Product sub-type distribution (1/3): PaaS
  • 12. Product sub-type distribution (2/3): IaaS & Applications
  • 13. Product sub-type distribution (3/3): Mgmt., Services, Runtime S/W

7. Deep-dive: IoT

  • 1. Chapter 7: Deep-dive: IoT - Overview and key takeaways
  • 2. Deep dive IoT: Overview
  • 3. Deep dive IoT: Cloud vendor overview
  • 4. IoT products included in the case studies
  • 5. Breakdown of IoT case studies
  • 6. IoT case studies by industry
  • 7. Vendor IoT case study distribution (1/3): By region
  • 8. Vendor IoT case study distribution (2/3): By industry
  • 9. Vendor IoT case study distribution (3/3): By manufacturing segment
  • 10. Products that complement IoT* case studies

8. Deep-dive: AI

  • 1. Chapter 8: Deep-dive: AI - Overview and key takeaways
  • 2. Deep dive AI: Overview
  • 3. Deep dive AI: Cloud vendor overview
  • 4. New AI case studies (1/3): By segment
  • 5. New AI case studies (2/3): By manufacturing subsegment
  • 6. New AI case studies (3/3): By vendor and industry
  • 7. AI/ML products included in the case studies
  • 8. Breakdown of AI case studies
  • 9. AI case studies by industry
  • 10. AI case studies by benefits
  • 11. Vendor AI case study distribution (1/3) by region
  • 12. Vendor AI case study distribution (2/3) by industry
  • 13. Vendor AI case study distribution (3/3) by manufacturing subsegment
  • 14. Products that complement AI case studies
  • 15. New Generative AI case studies (1/2): By segment
  • 16. New Generative AI case studies (2/2): By manufacturing subsegment
  • 17. Break-out: What are manufacturers doing with GenAI?
  • 18. Departments that benefit from GenAI case studies
  • 19. Key processes that are improved by GenAI case studies by department
  • 20. Where is GenAI used? - Heatmap of GenAI across 70 enterprise activities

9. Deep-dive: Vendors

  • 1. Chapter 9: Deep-dive: Vendors - Overview and key takeaways
  • 2. Microsoft case studies by region and customer size
  • 3. Microsoft case studies by industry
  • 4. Microsoft case studies by manufacturing subsegment
  • 5. Case study regional distribution for the 10 largest industries
  • 6. Case study industry distribution in each region
  • 7. Product types in Microsoft case studies
  • 8. 15 most often used Microsoft products
  • 9. Product sub-type distribution (1/3): PaaS
  • 10. Product sub-type distribution (2/3): Applications & IaaS
  • 11. Product sub-type distribution (3/3): Management, services, and runtime
  • 12. AWS case studies by region and customer size
  • 13. AWS case studies by industry
  • 14. AWS case studies by manufacturing subsegment
  • 15. Case study regional distribution for the 10 largest industries
  • 16. Case study industry distribution in each region
  • 17. Product types in AWS case studies
  • 18. 15 most often used AWS products
  • 19. Product sub-type distribution (1/3): PaaS
  • 20. Product sub-type distribution (2/3): Applications & IaaS
  • 21. Product sub-type distribution (3/3): Management, services, and runtime
  • 22. Google case studies by region and customer size
  • 23. Google case studies by industry
  • 24. Google case studies by manufacturing subsegment
  • 25. Case study regional distribution for the 10 largest industries
  • 26. Case study industry distribution in each region
  • 27. Product types in Google case studies
  • 28. 15 most often used Google products
  • 29. Product sub-type distribution (1/3): PaaS
  • 30. Product sub-type distribution (2/3): Applications & IaaS
  • 31. Product sub-type distribution (3/3): Management, services, and runtime
  • 32. Oracle case studies by region and customer size
  • 33. Oracle case studies by industry
  • 34. Oracle case studies by manufacturing subsegment
  • 35. Case study regional distribution for the 10 largest industries
  • 36. Case study industry distribution in each region
  • 37. Product types in Oracle case studies
  • 38. 15 most often used Oracle products
  • 39. Product sub-type distribution (1/3): PaaS
  • 40. Product sub-type distribution (2/3): Applications & IaaS
  • 41. Product sub-type distribution (3/3): Management, services, and runtime
  • 42. Alibaba case studies by region and customer size
  • 43. Alibaba case studies by industry
  • 44. Alibaba case studies by manufacturing segment
  • 45. Case study regional distribution for the 10 largest industries
  • 46. Case study industry distribution in each region
  • 47. Product types in Alibaba case studies
  • 48. 15 most often used Alibaba products
  • 49. Product sub-type distribution (1/3): PaaS
  • 50. Product sub-type distribution (2/3): Applications & IaaS
  • 51. Product sub-type distribution (3/3): Management, services, and runtime

10. Appendix

11. About IoT Analytics