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市场调查报告书
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1861339

Hadoop：全球市场份额和排名、总收入和需求预测（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个工作天内

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2024 年全球 Hadoop 市场规模估计为 46.61 亿美元，预计到 2031 年将达到 171.96 亿美元，在预测期（2025-2031 年）内复合年增长率为 20.8%。

Apache Hadoop 由 Apache 软体基金会开发，是开放原始码软体框架，用于在通用硬体丛集上储存资料并运行应用程式。它为各种类型的资料提供大规模储存、强大的处理能力，以及处理几乎无限数量的并发任务和作业的能力。底层 Apache Hadoop 框架包含以下模组：Hadoop Common，其中包含其他 Hadoop 模组所需的函式库和实用程式；Hadoop 分散式檔案系统 (HDFS)，一个分散式檔案系统，用于在通用机器上储存数据，并提供丛集内极高的聚合频宽；Hadoop YARN，一个管理内丛集内运算资源，并将其用于使用者程式设定的程式设计模型的实现，用于大规模资料处理。

市场机会与关键驱动因素

中国的Hadoop市场正面临前所未有的成长机会。这一增长主要得益于强而有力的国家政策支持。各级政府透过税收优惠、财政支持和产业园区建设等措施，为Hadoop市场的发展注入了强劲动力。同时，企业数位转型加速，推动了金融、网际网路、通讯等产业对大规模资料处理的需求激增，Hadoop技术正逐渐成为核心基础设施。此外，技术融合与创新也进一步拓展了市场潜力。 Hadoop与云端运算、人工智慧和边缘运算的融合，不仅提升了即时资料处理能力，也催生了智慧分析、预测性维护等高附加价值应用情境。

市场挑战、风险与限制因素

儘管Hadoop市场前景光明，仍面临诸多挑战。技术复杂性是一大障碍，因为配置、最佳化和维护分散式系统需要高度专业化的人员。市场上此类专家的短缺推高了企业的招募和培训成本。即时资料处理的限制也是一个主要阻碍因素。传统的MapReduce模型难以处理低延迟任务，难以满足对即时性要求极高的应用的需求。资料安全和隐私保护方面的风险也在增加。频繁的资料外洩事件和日益严格的监管迫使企业投入更多资源来加强资料加密和存取控制机制。此外，新兴的运算框架凭藉着更卓越的效能和更友善的用户体验，也在争夺市场份额，竞争日益激烈。

下游需求趋势

下游产业对Hadoop的需求正经历爆炸性成长和多元化发展。金融业已成为Hadoop的核心应用领域，利用Hadoop进行即时交易监控、诈欺侦测与客户信用评估，进而提升风险管理与营运效率。网路公司利用Hadoop处理用户行为数据，实现精准广告投放和个人化推荐，显着改善用户体验与平台互动。製造业的智慧转型正在推动新一轮的需求，企业利用Hadoop分析生产数据和设备运作状态，优化供应链管理，实现预测性维护。政府和公共服务部门也是成长的重点领域，Hadoop被广泛应用于智慧城市、智慧交通系统和公共卫生监测等计划的大规模数据整合和分析，有助于提高公共管治效率和服务水准。

本报告旨在对全球 Hadoop 市场进行全面分析，重点关注总收入、市场份额和主要企业的排名，还包括按地区/国家、类型和应用程式对 Hadoop 进行分析。

Hadoop市场规模、估计值和预测均以收入为单位呈现，基准年为2024年，并包含2020年至2031年期间的历史资料和预测资料。定量和定性分析旨在帮助读者制定业务和成长策略，评估竞争格局，了解自身在当前市场中的地位，并就Hadoop做出明智的商业决策。

市场区隔

公司

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

按类型分類的细分市场

  • 云端基础的
  • 本地部署

应用领域

  • 製造业
  • 零售
  • 金融
  • 政府
  • 其他的

按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太地区
    • 中国
    • 日本
    • 韩国
    • 东南亚
    • 印度
    • 澳洲
    • 亚太其他地区
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 荷兰
    • 北欧国家
    • 其他欧洲
  • 拉丁美洲
    • 墨西哥
    • 巴西
    • 其他拉丁美洲
  • 中东和非洲
    • 土耳其
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他中东和非洲地区

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