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1861339

Hadoop：全球市場佔有率和排名、總收入和需求預測（2025-2031 年）

Hadoop - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
出版日期: | 出版商: QYResearch | 英文 105 Pages | 商品交期: 2-3個工作天內

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2024 年全球 Hadoop 市場規模估計為 46.61 億美元，預計到 2031 年將達到 171.96 億美元，在預測期（2025-2031 年）內複合年成長率為 20.8%。

Apache Hadoop 由 Apache 軟體基金會開發，是開放原始碼軟體框架，用於在通用硬體叢集上儲存資料並運行應用程式。它為各種類型的資料提供大規模儲存、強大的處理能力，以及處理幾乎無限數量的並發任務和作業的能力。底層 Apache Hadoop 框架包含以下模組：Hadoop Common，其中包含其他 Hadoop 模組所需的函式庫和實用程式；Hadoop 分散式檔案系統 (HDFS)，一個分散式檔案系統，用於在通用機器上儲存數據，並提供叢集內極高的聚合頻寬；Hadoop YARN，一個管理內叢集內運算資源，並將其用於使用者程式設定的程式設計模型的實現，用於大規模資料處理。

市場機會與關鍵促進因素

中國的Hadoop市場正面臨前所未有的成長機會。這一成長主要得益於強而有力的國家政策支持。各級政府透過稅收優惠、財政支持和產業園區建設等措施，為Hadoop市場的發展注入了強勁動力。同時，企業數位轉型加速，推動了金融、網際網路、通訊等產業對大規模資料處理的需求激增，Hadoop技術正逐漸成為核心基礎設施。此外，技術融合與創新也進一步拓展了市場潛力。 Hadoop與雲端運算、人工智慧和邊緣運算的融合，不僅提升了即時資料處理能力，也催生了智慧分析、預測性維護等高附加價值應用情境。

市場挑戰、風險與限制因素

儘管Hadoop市場前景光明，仍面臨諸多挑戰。技術複雜性是一大障礙，因為配置、最佳化和維護分散式系統需要高度專業化的人員。市場上此類專家的短缺推高了企業的招募和培訓成本。即時資料處理的限制也是一個主要阻礙因素。傳統的MapReduce模型難以處理低延遲任務，難以滿足對即時性要求極高的應用的需求。資料安全和隱私保護方面的風險也在增加。頻繁的資料外洩事件和日益嚴格的監管迫使企業投入更多資源來加強資料加密和存取控制機制。此外，新興的運算框架憑藉著更卓越的效能和更友善的用戶體驗，也在爭奪市場佔有率，競爭日益激烈。

下游需求趨勢

下游產業對Hadoop的需求正經歷爆炸性成長和多元化發展。金融業已成為Hadoop的核心應用領域，利用Hadoop進行即時交易監控、詐欺偵測與客戶信用評估，進而提升風險管理與營運效率。網路公司利用Hadoop處理用戶行為數據，實現精準廣告投放和個人化推薦，顯著改善用戶體驗與平台互動。製造業的智慧轉型正在推動新一輪的需求，企業利用Hadoop分析生產數據和設備運作狀態，最佳化供應鏈管理，實現預測性維護。政府和公共服務部門也是成長的重點領域，Hadoop被廣泛應用於智慧城市、智慧交通系統和公共衛生監測等計劃的大規模數據整合和分析，有助於提高公共管治效率和服務水準。

本報告旨在對全球 Hadoop 市場進行全面分析，重點關注總收入、市場佔有率和主要企業的排名，還包括按地區/國家、類型和應用程式對 Hadoop 進行分析。

Hadoop市場規模、估計值和預測均以收入為單位呈現，基準年為2024年，並包含2020年至2031年期間的歷史資料和預測資料。定量和定性分析旨在幫助讀者制定業務和成長策略，評估競爭格局，了解自身在當前市場中的地位，並就Hadoop做出明智的商業決策。

市場區隔

公司

  • Cloudrea
  • Hortonworks
  • MapR Tech
  • Dell/EMC/Pivotal
  • IBM
  • Microsoft
  • Amazon Web Services
  • MarkLogic
  • Cisco Systems
  • Hitachi Data Systems
  • Teradata Corporation

按類型分類的細分市場

  • 雲端基礎的
  • 本地部署

應用領域

  • 製造業
  • 零售
  • 金融
  • 政府
  • 其他

按地區

  • 北美洲
    • 美國
    • 加拿大
  • 亞太地區
    • 中國
    • 日本
    • 韓國
    • 東南亞
    • 印度
    • 澳洲
    • 亞太其他地區
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 荷蘭
    • 北歐國家
    • 其他歐洲
  • 拉丁美洲
    • 墨西哥
    • 巴西
    • 其他拉丁美洲
  • 中東和非洲
    • 土耳其
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 其他中東和非洲地區

The global market for Hadoop was estimated to be worth US$ 4661 million in 2024 and is forecast to a readjusted size of US$ 17196 million by 2031 with a CAGR of 20.8% during the forecast period 2025-2031.

Hadoop, the Apache Hadoop developed by Apache Software Foundation, is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. The base Apache Hadoop framework is composed of the following modules: Hadoop Common - contains libraries and utilities needed by other Hadoop modules Hadoop Distributed File System (HDFS) - a distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster; Hadoop YARN - a platform responsible for managing computing resources in clusters and using them for scheduling users' applications; and Hadoop MapReduce - an implementation of the MapReduce programming model for large-scale data processing.

Market Development Opportunities & Main Driving Factors

The Chinese Hadoop market is ushering in unprecedented growth opportunities. This growth is primarily fueled by strong national policy support. Various levels of government provide substantial momentum through measures such as tax reductions, funding support, and the construction of industrial parks. Concurrently, the acceleration of enterprise digital transformation is driving surging demand for massive data processing in sectors like finance, internet, and telecommunications, establishing Hadoop technology as core infrastructure. Furthermore, technological convergence and innovation are expanding market potential. The integration of Hadoop with cloud computing, artificial intelligence, and edge computing not only enhances real-time data processing capabilities but also spawns new high-value application scenarios such as intelligent analytics and predictive maintenance.

Market Challenges, Risks, & Restraints

Despite the promising prospects, the Hadoop market faces multiple challenges. Technical complexity is a primary hurdle, as configuring, optimizing, and maintaining distributed systems require highly specialized talent. The current shortage of such professionals in the market drives up human resources and training costs for enterprises. Limitations in real-time data processing also pose a significant constraint; the traditional MapReduce model shows shortcomings in handling low-latency tasks, making it difficult to meet the demands of applications with extremely high real-time requirements. Increasing risks related to data security and privacy protection are becoming prominent. With frequent data breach incidents and the strict enforcement of regulations, companies must invest more resources in strengthening data encryption and access control mechanisms. Additionally, competitive pressure from emerging computing frameworks is intensifying, as they compete for market share with superior performance and more user-friendly experiences.

Downstream Demand Trends

Demand for Hadoop from downstream industries is experiencing explosive growth and diversification. The financial sector has become a core area for Hadoop applications, utilizing it for real-time transaction monitoring, fraud detection, and customer credit assessment to enhance risk control and operational efficiency. Internet companies rely on Hadoop to process user behavior data for precise advertising targeting and personalized recommendations, significantly improving user experience and platform engagement. Intelligent transformation in manufacturing is driving a new wave of demand; enterprises analyze production data and equipment operational status through Hadoop to optimize supply chain management and achieve predictive maintenance. Government and public services have also become hotspots for growth. Projects related to smart cities, intelligent transportation, and public health monitoring widely adopt Hadoop for large-scale data integration and analysis to improve public governance efficiency and service levels.

This report aims to provide a comprehensive presentation of the global market for Hadoop, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Hadoop by region & country, by Type, and by Application.

The Hadoop market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Hadoop.

Market Segmentation

By Company

  • Cloudrea
  • Hortonworks
  • MapR Tech
  • Dell/EMC/Pivotal
  • IBM
  • Microsoft
  • Amazon Web Services
  • MarkLogic
  • Cisco Systems
  • Hitachi Data Systems
  • Teradata Corporation

Segment by Type

  • Cloud-based
  • On-premises

Segment by Application

  • Manufacturing
  • Retail
  • Financial
  • Government
  • Others

By Region

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • Southeast Asia
    • India
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Netherlands
    • Nordic Countries
    • Rest of Europe
  • Latin America
    • Mexico
    • Brazil
    • Rest of Latin America
  • Middle East & Africa
    • Turkey
    • Saudi Arabia
    • UAE
    • Rest of MEA

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of Hadoop company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of Hadoop in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of Hadoop in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

Table of Contents

1 Market Overview

  • 1.1 Hadoop Product Introduction
  • 1.2 Global Hadoop Market Size Forecast (2020-2031)
  • 1.3 Hadoop Market Trends & Drivers
    • 1.3.1 Hadoop Industry Trends
    • 1.3.2 Hadoop Market Drivers & Opportunity
    • 1.3.3 Hadoop Market Challenges
    • 1.3.4 Hadoop Market Restraints
  • 1.4 Assumptions and Limitations
  • 1.5 Study Objectives
  • 1.6 Years Considered

2 Competitive Analysis by Company

  • 2.1 Global Hadoop Players Revenue Ranking (2024)
  • 2.2 Global Hadoop Revenue by Company (2020-2025)
  • 2.3 Key Companies Hadoop Manufacturing Base Distribution and Headquarters
  • 2.4 Key Companies Hadoop Product Offered
  • 2.5 Key Companies Time to Begin Mass Production of Hadoop
  • 2.6 Hadoop Market Competitive Analysis
    • 2.6.1 Hadoop Market Concentration Rate (2020-2025)
    • 2.6.2 Global 5 and 10 Largest Companies by Hadoop Revenue in 2024
    • 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Hadoop as of 2024)
  • 2.7 Mergers & Acquisitions, Expansion

3 Segmentation by Type

  • 3.1 Introduction by Type
    • 3.1.1 Cloud-based
    • 3.1.2 On-premises
  • 3.2 Global Hadoop Sales Value by Type
    • 3.2.1 Global Hadoop Sales Value by Type (2020 VS 2024 VS 2031)
    • 3.2.2 Global Hadoop Sales Value, by Type (2020-2031)
    • 3.2.3 Global Hadoop Sales Value, by Type (%) (2020-2031)

4 Segmentation by Application

  • 4.1 Introduction by Application
    • 4.1.1 Manufacturing
    • 4.1.2 Retail
    • 4.1.3 Financial
    • 4.1.4 Government
    • 4.1.5 Others
  • 4.2 Global Hadoop Sales Value by Application
    • 4.2.1 Global Hadoop Sales Value by Application (2020 VS 2024 VS 2031)
    • 4.2.2 Global Hadoop Sales Value, by Application (2020-2031)
    • 4.2.3 Global Hadoop Sales Value, by Application (%) (2020-2031)

5 Segmentation by Region

  • 5.1 Global Hadoop Sales Value by Region
    • 5.1.1 Global Hadoop Sales Value by Region: 2020 VS 2024 VS 2031
    • 5.1.2 Global Hadoop Sales Value by Region (2020-2025)
    • 5.1.3 Global Hadoop Sales Value by Region (2026-2031)
    • 5.1.4 Global Hadoop Sales Value by Region (%), (2020-2031)
  • 5.2 North America
    • 5.2.1 North America Hadoop Sales Value, 2020-2031
    • 5.2.2 North America Hadoop Sales Value by Country (%), 2024 VS 2031
  • 5.3 Europe
    • 5.3.1 Europe Hadoop Sales Value, 2020-2031
    • 5.3.2 Europe Hadoop Sales Value by Country (%), 2024 VS 2031
  • 5.4 Asia Pacific
    • 5.4.1 Asia Pacific Hadoop Sales Value, 2020-2031
    • 5.4.2 Asia Pacific Hadoop Sales Value by Region (%), 2024 VS 2031
  • 5.5 South America
    • 5.5.1 South America Hadoop Sales Value, 2020-2031
    • 5.5.2 South America Hadoop Sales Value by Country (%), 2024 VS 2031
  • 5.6 Middle East & Africa
    • 5.6.1 Middle East & Africa Hadoop Sales Value, 2020-2031
    • 5.6.2 Middle East & Africa Hadoop Sales Value by Country (%), 2024 VS 2031

6 Segmentation by Key Countries/Regions

  • 6.1 Key Countries/Regions Hadoop Sales Value Growth Trends, 2020 VS 2024 VS 2031
  • 6.2 Key Countries/Regions Hadoop Sales Value, 2020-2031
  • 6.3 United States
    • 6.3.1 United States Hadoop Sales Value, 2020-2031
    • 6.3.2 United States Hadoop Sales Value by Type (%), 2024 VS 2031
    • 6.3.3 United States Hadoop Sales Value by Application, 2024 VS 2031
  • 6.4 Europe
    • 6.4.1 Europe Hadoop Sales Value, 2020-2031
    • 6.4.2 Europe Hadoop Sales Value by Type (%), 2024 VS 2031
    • 6.4.3 Europe Hadoop Sales Value by Application, 2024 VS 2031
  • 6.5 China
    • 6.5.1 China Hadoop Sales Value, 2020-2031
    • 6.5.2 China Hadoop Sales Value by Type (%), 2024 VS 2031
    • 6.5.3 China Hadoop Sales Value by Application, 2024 VS 2031
  • 6.6 Japan
    • 6.6.1 Japan Hadoop Sales Value, 2020-2031
    • 6.6.2 Japan Hadoop Sales Value by Type (%), 2024 VS 2031
    • 6.6.3 Japan Hadoop Sales Value by Application, 2024 VS 2031
  • 6.7 South Korea
    • 6.7.1 South Korea Hadoop Sales Value, 2020-2031
    • 6.7.2 South Korea Hadoop Sales Value by Type (%), 2024 VS 2031
    • 6.7.3 South Korea Hadoop Sales Value by Application, 2024 VS 2031
  • 6.8 Southeast Asia
    • 6.8.1 Southeast Asia Hadoop Sales Value, 2020-2031
    • 6.8.2 Southeast Asia Hadoop Sales Value by Type (%), 2024 VS 2031
    • 6.8.3 Southeast Asia Hadoop Sales Value by Application, 2024 VS 2031
  • 6.9 India
    • 6.9.1 India Hadoop Sales Value, 2020-2031
    • 6.9.2 India Hadoop Sales Value by Type (%), 2024 VS 2031
    • 6.9.3 India Hadoop Sales Value by Application, 2024 VS 2031

7 Company Profiles

  • 7.1 Cloudrea
    • 7.1.1 Cloudrea Profile
    • 7.1.2 Cloudrea Main Business
    • 7.1.3 Cloudrea Hadoop Products, Services and Solutions
    • 7.1.4 Cloudrea Hadoop Revenue (US$ Million) & (2020-2025)
    • 7.1.5 Cloudrea Recent Developments
  • 7.2 Hortonworks
    • 7.2.1 Hortonworks Profile
    • 7.2.2 Hortonworks Main Business
    • 7.2.3 Hortonworks Hadoop Products, Services and Solutions
    • 7.2.4 Hortonworks Hadoop Revenue (US$ Million) & (2020-2025)
    • 7.2.5 Hortonworks Recent Developments
  • 7.3 MapR Tech
    • 7.3.1 MapR Tech Profile
    • 7.3.2 MapR Tech Main Business
    • 7.3.3 MapR Tech Hadoop Products, Services and Solutions
    • 7.3.4 MapR Tech Hadoop Revenue (US$ Million) & (2020-2025)
    • 7.3.5 MapR Tech Recent Developments
  • 7.4 Dell/EMC/Pivotal
    • 7.4.1 Dell/EMC/Pivotal Profile
    • 7.4.2 Dell/EMC/Pivotal Main Business
    • 7.4.3 Dell/EMC/Pivotal Hadoop Products, Services and Solutions
    • 7.4.4 Dell/EMC/Pivotal Hadoop Revenue (US$ Million) & (2020-2025)
    • 7.4.5 Dell/EMC/Pivotal Recent Developments
  • 7.5 IBM
    • 7.5.1 IBM Profile
    • 7.5.2 IBM Main Business
    • 7.5.3 IBM Hadoop Products, Services and Solutions
    • 7.5.4 IBM Hadoop Revenue (US$ Million) & (2020-2025)
    • 7.5.5 IBM Recent Developments
  • 7.6 Microsoft
    • 7.6.1 Microsoft Profile
    • 7.6.2 Microsoft Main Business
    • 7.6.3 Microsoft Hadoop Products, Services and Solutions
    • 7.6.4 Microsoft Hadoop Revenue (US$ Million) & (2020-2025)
    • 7.6.5 Microsoft Recent Developments
  • 7.7 Amazon Web Services
    • 7.7.1 Amazon Web Services Profile
    • 7.7.2 Amazon Web Services Main Business
    • 7.7.3 Amazon Web Services Hadoop Products, Services and Solutions
    • 7.7.4 Amazon Web Services Hadoop Revenue (US$ Million) & (2020-2025)
    • 7.7.5 Amazon Web Services Recent Developments
  • 7.8 MarkLogic
    • 7.8.1 MarkLogic Profile
    • 7.8.2 MarkLogic Main Business
    • 7.8.3 MarkLogic Hadoop Products, Services and Solutions
    • 7.8.4 MarkLogic Hadoop Revenue (US$ Million) & (2020-2025)
    • 7.8.5 MarkLogic Recent Developments
  • 7.9 Cisco Systems
    • 7.9.1 Cisco Systems Profile
    • 7.9.2 Cisco Systems Main Business
    • 7.9.3 Cisco Systems Hadoop Products, Services and Solutions
    • 7.9.4 Cisco Systems Hadoop Revenue (US$ Million) & (2020-2025)
    • 7.9.5 Cisco Systems Recent Developments
  • 7.10 Hitachi Data Systems
    • 7.10.1 Hitachi Data Systems Profile
    • 7.10.2 Hitachi Data Systems Main Business
    • 7.10.3 Hitachi Data Systems Hadoop Products, Services and Solutions
    • 7.10.4 Hitachi Data Systems Hadoop Revenue (US$ Million) & (2020-2025)
    • 7.10.5 Hitachi Data Systems Recent Developments
  • 7.11 Teradata Corporation
    • 7.11.1 Teradata Corporation Profile
    • 7.11.2 Teradata Corporation Main Business
    • 7.11.3 Teradata Corporation Hadoop Products, Services and Solutions
    • 7.11.4 Teradata Corporation Hadoop Revenue (US$ Million) & (2020-2025)
    • 7.11.5 Teradata Corporation Recent Developments

8 Industry Chain Analysis

  • 8.1 Hadoop Industrial Chain
  • 8.2 Hadoop Upstream Analysis
    • 8.2.1 Key Raw Materials
    • 8.2.2 Raw Materials Key Suppliers
    • 8.2.3 Manufacturing Cost Structure
  • 8.3 Midstream Analysis
  • 8.4 Downstream Analysis (Customers Analysis)
  • 8.5 Sales Model and Sales Channels
    • 8.5.1 Hadoop Sales Model
    • 8.5.2 Sales Channel
    • 8.5.3 Hadoop Distributors

9 Research Findings and Conclusion

10 Appendix

  • 10.1 Research Methodology
    • 10.1.1 Methodology/Research Approach
      • 10.1.1.1 Research Programs/Design
      • 10.1.1.2 Market Size Estimation
      • 10.1.1.3 Market Breakdown and Data Triangulation
    • 10.1.2 Data Source
      • 10.1.2.1 Secondary Sources
      • 10.1.2.2 Primary Sources
  • 10.2 Author Details
  • 10.3 Disclaimer

List of Tables

  • Table 1. Hadoop Market Trends
  • Table 2. Hadoop Market Drivers & Opportunity
  • Table 3. Hadoop Market Challenges
  • Table 4. Hadoop Market Restraints
  • Table 5. Global Hadoop Revenue by Company (2020-2025) & (US$ Million)
  • Table 6. Global Hadoop Revenue Market Share by Company (2020-2025)
  • Table 7. Key Companies Hadoop Manufacturing Base Distribution and Headquarters
  • Table 8. Key Companies Hadoop Product Type
  • Table 9. Key Companies Time to Begin Mass Production of Hadoop
  • Table 10. Global Hadoop Companies Market Concentration Ratio (CR5 and HHI)
  • Table 11. Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Hadoop as of 2024)
  • Table 12. Mergers & Acquisitions, Expansion Plans
  • Table 13. Global Hadoop Sales Value by Type: 2020 VS 2024 VS 2031 (US$ Million)
  • Table 14. Global Hadoop Sales Value by Type (2020-2025) & (US$ Million)
  • Table 15. Global Hadoop Sales Value by Type (2026-2031) & (US$ Million)
  • Table 16. Global Hadoop Sales Market Share in Value by Type (2020-2025)
  • Table 17. Global Hadoop Sales Market Share in Value by Type (2026-2031)
  • Table 18. Global Hadoop Sales Value by Application: 2020 VS 2024 VS 2031 (US$ Million)
  • Table 19. Global Hadoop Sales Value by Application (2020-2025) & (US$ Million)
  • Table 20. Global Hadoop Sales Value by Application (2026-2031) & (US$ Million)
  • Table 21. Global Hadoop Sales Market Share in Value by Application (2020-2025)
  • Table 22. Global Hadoop Sales Market Share in Value by Application (2026-2031)
  • Table 23. Global Hadoop Sales Value by Region, (2020 VS 2024 VS 2031) & (US$ Million)
  • Table 24. Global Hadoop Sales Value by Region (2020-2025) & (US$ Million)
  • Table 25. Global Hadoop Sales Value by Region (2026-2031) & (US$ Million)
  • Table 26. Global Hadoop Sales Value by Region (2020-2025) & (%)
  • Table 27. Global Hadoop Sales Value by Region (2026-2031) & (%)
  • Table 28. Key Countries/Regions Hadoop Sales Value Growth Trends, (US$ Million): 2020 VS 2024 VS 2031
  • Table 29. Key Countries/Regions Hadoop Sales Value, (2020-2025) & (US$ Million)
  • Table 30. Key Countries/Regions Hadoop Sales Value, (2026-2031) & (US$ Million)
  • Table 31. Cloudrea Basic Information List
  • Table 32. Cloudrea Description and Business Overview
  • Table 33. Cloudrea Hadoop Products, Services and Solutions
  • Table 34. Revenue (US$ Million) in Hadoop Business of Cloudrea (2020-2025)
  • Table 35. Cloudrea Recent Developments
  • Table 36. Hortonworks Basic Information List
  • Table 37. Hortonworks Description and Business Overview
  • Table 38. Hortonworks Hadoop Products, Services and Solutions
  • Table 39. Revenue (US$ Million) in Hadoop Business of Hortonworks (2020-2025)
  • Table 40. Hortonworks Recent Developments
  • Table 41. MapR Tech Basic Information List
  • Table 42. MapR Tech Description and Business Overview
  • Table 43. MapR Tech Hadoop Products, Services and Solutions
  • Table 44. Revenue (US$ Million) in Hadoop Business of MapR Tech (2020-2025)
  • Table 45. MapR Tech Recent Developments
  • Table 46. Dell/EMC/Pivotal Basic Information List
  • Table 47. Dell/EMC/Pivotal Description and Business Overview
  • Table 48. Dell/EMC/Pivotal Hadoop Products, Services and Solutions
  • Table 49. Revenue (US$ Million) in Hadoop Business of Dell/EMC/Pivotal (2020-2025)
  • Table 50. Dell/EMC/Pivotal Recent Developments
  • Table 51. IBM Basic Information List
  • Table 52. IBM Description and Business Overview
  • Table 53. IBM Hadoop Products, Services and Solutions
  • Table 54. Revenue (US$ Million) in Hadoop Business of IBM (2020-2025)
  • Table 55. IBM Recent Developments
  • Table 56. Microsoft Basic Information List
  • Table 57. Microsoft Description and Business Overview
  • Table 58. Microsoft Hadoop Products, Services and Solutions
  • Table 59. Revenue (US$ Million) in Hadoop Business of Microsoft (2020-2025)
  • Table 60. Microsoft Recent Developments
  • Table 61. Amazon Web Services Basic Information List
  • Table 62. Amazon Web Services Description and Business Overview
  • Table 63. Amazon Web Services Hadoop Products, Services and Solutions
  • Table 64. Revenue (US$ Million) in Hadoop Business of Amazon Web Services (2020-2025)
  • Table 65. Amazon Web Services Recent Developments
  • Table 66. MarkLogic Basic Information List
  • Table 67. MarkLogic Description and Business Overview
  • Table 68. MarkLogic Hadoop Products, Services and Solutions
  • Table 69. Revenue (US$ Million) in Hadoop Business of MarkLogic (2020-2025)
  • Table 70. MarkLogic Recent Developments
  • Table 71. Cisco Systems Basic Information List
  • Table 72. Cisco Systems Description and Business Overview
  • Table 73. Cisco Systems Hadoop Products, Services and Solutions
  • Table 74. Revenue (US$ Million) in Hadoop Business of Cisco Systems (2020-2025)
  • Table 75. Cisco Systems Recent Developments
  • Table 76. Hitachi Data Systems Basic Information List
  • Table 77. Hitachi Data Systems Description and Business Overview
  • Table 78. Hitachi Data Systems Hadoop Products, Services and Solutions
  • Table 79. Revenue (US$ Million) in Hadoop Business of Hitachi Data Systems (2020-2025)
  • Table 80. Hitachi Data Systems Recent Developments
  • Table 81. Teradata Corporation Basic Information List
  • Table 82. Teradata Corporation Description and Business Overview
  • Table 83. Teradata Corporation Hadoop Products, Services and Solutions
  • Table 84. Revenue (US$ Million) in Hadoop Business of Teradata Corporation (2020-2025)
  • Table 85. Teradata Corporation Recent Developments
  • Table 86. Key Raw Materials Lists
  • Table 87. Raw Materials Key Suppliers Lists
  • Table 88. Hadoop Downstream Customers
  • Table 89. Hadoop Distributors List
  • Table 90. Research Programs/Design for This Report
  • Table 91. Key Data Information from Secondary Sources
  • Table 92. Key Data Information from Primary Sources

List of Figures

  • Figure 1. Hadoop Product Picture
  • Figure 2. Global Hadoop Sales Value, 2020 VS 2024 VS 2031 (US$ Million)
  • Figure 3. Global Hadoop Sales Value (2020-2031) & (US$ Million)
  • Figure 4. Hadoop Report Years Considered
  • Figure 5. Global Hadoop Players Revenue Ranking (2024) & (US$ Million)
  • Figure 6. The 5 and 10 Largest Companies in the World: Market Share by Hadoop Revenue in 2024
  • Figure 7. Hadoop Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2020 VS 2024
  • Figure 8. Cloud-based Picture
  • Figure 9. On-premises Picture
  • Figure 10. Global Hadoop Sales Value by Type (2020 VS 2024 VS 2031) & (US$ Million)
  • Figure 11. Global Hadoop Sales Value Market Share by Type, 2024 & 2031
  • Figure 12. Product Picture of Manufacturing
  • Figure 13. Product Picture of Retail
  • Figure 14. Product Picture of Financial
  • Figure 15. Product Picture of Government
  • Figure 16. Product Picture of Others
  • Figure 17. Global Hadoop Sales Value by Application (2020 VS 2024 VS 2031) & (US$ Million)
  • Figure 18. Global Hadoop Sales Value Market Share by Application, 2024 & 2031
  • Figure 19. North America Hadoop Sales Value (2020-2031) & (US$ Million)
  • Figure 20. North America Hadoop Sales Value by Country (%), 2024 VS 2031
  • Figure 21. Europe Hadoop Sales Value, (2020-2031) & (US$ Million)
  • Figure 22. Europe Hadoop Sales Value by Country (%), 2024 VS 2031
  • Figure 23. Asia Pacific Hadoop Sales Value, (2020-2031) & (US$ Million)
  • Figure 24. Asia Pacific Hadoop Sales Value by Region (%), 2024 VS 2031
  • Figure 25. South America Hadoop Sales Value, (2020-2031) & (US$ Million)
  • Figure 26. South America Hadoop Sales Value by Country (%), 2024 VS 2031
  • Figure 27. Middle East & Africa Hadoop Sales Value, (2020-2031) & (US$ Million)
  • Figure 28. Middle East & Africa Hadoop Sales Value by Country (%), 2024 VS 2031
  • Figure 29. Key Countries/Regions Hadoop Sales Value (%), (2020-2031)
  • Figure 30. United States Hadoop Sales Value, (2020-2031) & (US$ Million)
  • Figure 31. United States Hadoop Sales Value by Type (%), 2024 VS 2031
  • Figure 32. United States Hadoop Sales Value by Application (%), 2024 VS 2031
  • Figure 33. Europe Hadoop Sales Value, (2020-2031) & (US$ Million)
  • Figure 34. Europe Hadoop Sales Value by Type (%), 2024 VS 2031
  • Figure 35. Europe Hadoop Sales Value by Application (%), 2024 VS 2031
  • Figure 36. China Hadoop Sales Value, (2020-2031) & (US$ Million)
  • Figure 37. China Hadoop Sales Value by Type (%), 2024 VS 2031
  • Figure 38. China Hadoop Sales Value by Application (%), 2024 VS 2031
  • Figure 39. Japan Hadoop Sales Value, (2020-2031) & (US$ Million)
  • Figure 40. Japan Hadoop Sales Value by Type (%), 2024 VS 2031
  • Figure 41. Japan Hadoop Sales Value by Application (%), 2024 VS 2031
  • Figure 42. South Korea Hadoop Sales Value, (2020-2031) & (US$ Million)
  • Figure 43. South Korea Hadoop Sales Value by Type (%), 2024 VS 2031
  • Figure 44. South Korea Hadoop Sales Value by Application (%), 2024 VS 2031
  • Figure 45. Southeast Asia Hadoop Sales Value, (2020-2031) & (US$ Million)
  • Figure 46. Southeast Asia Hadoop Sales Value by Type (%), 2024 VS 2031
  • Figure 47. Southeast Asia Hadoop Sales Value by Application (%), 2024 VS 2031
  • Figure 48. India Hadoop Sales Value, (2020-2031) & (US$ Million)
  • Figure 49. India Hadoop Sales Value by Type (%), 2024 VS 2031
  • Figure 50. India Hadoop Sales Value by Application (%), 2024 VS 2031
  • Figure 51. Hadoop Industrial Chain
  • Figure 52. Hadoop Manufacturing Cost Structure
  • Figure 53. Channels of Distribution (Direct Sales, and Distribution)
  • Figure 54. Bottom-up and Top-down Approaches for This Report
  • Figure 55. Data Triangulation
  • Figure 56. Key Executives Interviewed