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市场调查报告书
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1624498

全球 Hadoop 大数据分析市场规模（按应用程式、垂直产业、元件、地区、范围和预测）

Global Hadoop Big Data Analytics Market Size By Application(Customer Analytics, Internet of Things, Merchandising & Supply Chain Analytics), By Vertical, By Component, By Geographic Scope And Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

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简介目录

Hadoop 大数据分析市场规模及预测

2024 年，Hadoop 大数据分析市场规模价值为 616 亿美元，预计在预测期内（2024-2031 年）的复合年增长率为 45.36%，到 ​​2031 年将达到 9688.9 亿美元。那。企业对数位转型的需求不断增长是推动 Hadoop 大数据分析市场收入成长的关键因素，而对分析的投资不断增加将推动市场成长。全球 Hadoop 大数据分析市场报告对市场进行了全面评估。它对关键细分市场、趋势、市场推动因素、市场阻碍因素、竞争格局以及在市场中发挥关键作用的因素进行了全面的分析。

全球 Hadoop 大数据分析市场的定义

Hadoop 是一个开源框架，它使用跨分散式电脑丛集的简单程式设计模型来实现大数据的储存和分析。大数据是指大量可以结构化也可以非结构化的资讯。资讯量如此庞大，传统系统无法储存和处理。此外，它还可以提供趋势洞察并即时支援企业级决策。透过此解决方案，可以对资讯进行储存、分析和挖掘，以实现其最终目标。它有助于实现商业模式的现代化，并实现服务提供者的收入最大化。

由于工业日常运作产生的资讯量大、种类多、速度快，资讯正以惊人的速度累积。在这种背景下，组织在透过相互连结的共享仪表板收集、储存、分析和报告方面面临许多技术课题。管理这些资讯需要高品质的资料管理系统和适当的资讯流。公司需要尖端的大数据解决方案来从海量资讯中收集、保存、调查、想像和预测证据。

全球 Hadoop 大数据分析市场概况

大数据诞生于对产业参与者日常营运的密切观察。采取这些措施主要是为了获得相对于竞争对手的竞争优势并更深入地瞭解他们的策略。此类策略市场趋势预计将进一步扩大Hadoop大数据分析市场。

产业参与者将投资下一代解决方案，这被视为产业成长和发展的新机会。该解决方案旨在被各种企业采用，以保持市场竞争力并获得更好的行业洞察力。对通用统一资讯储存平台的需求预计将进一步促进 Hadoop 大数据分析市场的成长。

据推测，缺乏安全性和缺乏适当的大数据监管框架会阻碍该行业的发展。缺乏能够将机器代码转化为资料仓储和高级分析的操作解决方案的熟练人才，可能会进一步减缓八年的成长率。据估计，大数据安全和安全情报解决方案将在预测期内为产业参与者提供充足的成长机会。

公司正在大力投资研发计划，以开发能够提供卓越优势的整合解决方案。终端用户产业正在特别努力降低硬体成本，以保持其市场地位并在 Hadoop 大数据分析市场中获得竞争优势。

网路优化、客户流失预防、基于位置的参与、社交媒体和情绪分析以及天气预报是该市场的主要应用。网路最佳化对于即时调查很有用，并且可用于破坏控制应用。透过大数据分析，可以实现精准位置、精准资讯需求相关的资讯服务。从社群媒体收集的资讯将接受深入的情绪分析，预计将为相关业务提供充足的成长机会。

目录

第 1 章 全球 Hadoop 大数据分析市场简介

    市场概况
  • 研究范围
  • 先决条件

第 2 章执行摘要

第 3 章：经过验证的市场研究方法

  • 资料探勘
  • 验证
  • 主要来源
  • 资料来源列表

第 4 章 Hadoop 大数据分析全球市场展望

  • 概述
  • 市场动态
    • 驱动程式
    • 阻碍因素
    • 机会
  • 波特五力模型
  • 价值链分析

第5章 全球 Hadoop 大数据分析市场（按应用）

  • 概述
  • 客户分析
  • 物联网 (IoT)
  • 商品销售与供应链分析
  • 卸载大型主机应用程式
  • 风险与诈欺分析
  • 其他
第 6 章 全球 Hadoop 大数据分析市场（依垂直产业划分）
  • 概述
  • 能源与公用事业
  • IT 与通信
  • 媒体与娱乐
  • 零售与消费品
  • 运输与供应链管理
  • 其他

第7章 全球 Hadoop 大数据分析市场（按组件）

  • 概述
  • 解决方案
    • 应用软体
    • 管理软体
    • 软体包
    • 其他
  • 服务
    • 託管服务
    • 咨询与开发服务
    • 其他

第8章 全球 Hadoop 大数据分析市场（按地区）

  • 概述
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 其他欧洲国家
    亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 世界其他地区
    • 拉丁美洲
    • 中东

第 9 章全球 Hadoop 大数据分析市场的竞争格局
  • 概述
  • 各公司的市场排名
  • 主要发展策略

第10章 公司简介

  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services
  • Teradata Corporation
  • Tableau Software, Inc.
  • Cloudera Inc.
  • Pentaho Corporation
  • Marklogic Corporation
  • Pivotal Software, Inc.
  • SAP SE

第 11 章附录

  • 相关研究
简介目录
Product Code: 24657

Hadoop Big Data Analytics Market Size And Forecast

Hadoop Big Data Analytics Market size was valued at USD 61.6 Billion in 2024 and is projected to reach USD 968.89 Billion by 2031, growing at a CAGR of 45.36% during the forecast period 2024-2031. The increasing demand for the digital transformation of organizations is the crucial aspect of the rise in the market revenue of Hadoop Big Data Analytics as well as the growing investments in analytics will foster market growth. The Global Hadoop Big Data Analytics Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global Hadoop Big Data Analytics Market Definition

Hadoop is an open-source framework that permits big data storage & analytics and uses simple programming models across distributed computer clusters. Big data is a massive volume of information that can be unstructured as well as structured. Owing to the sheer volume of such information, it cannot be stored and processed by conventional systems. Moreover, it supports organizations to understand the trend and aid in real-time corporate level decision making. With this solution, information can be stored, analyzed, and mined to fulfill the bottom-line objective. It helps in modernizing the business models and maximizing the revenue for the service providers.

The information accumulates at a tremendously high pace considering volume, variety, and velocity due to the day-to-day operations of the industries. In such a situation, organizations face many technical difficulties during collection, storage, analysis, and reporting through interlinked and shared dashboards. Managing such information requires high-quality data management systems and appropriately channeled information flow. Companies need state-of-the-art big data resolutions to gather, store, examine, picture, and make future forecasts from the evidence obtained from massive information volumes.

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Global Hadoop Big Data Analytics Market Overview

Close operational scrutiny by the industry participants to critically observe their daily operations has given rise to big data. Such a step is taken majorly to gain a competitive advantage over the rival companies and gain a better insight into their strategies. Such a strategic market trend is presumed to expand further the Hadoop big data analytics market.

Industry players are supposed to invest in the next generation solutions which are forecasted as new opportunities for the industry growth and development. This solution is intended to be implemented by different companies to remain competitive in the market and gain better industry insights. Demand for a common unified platform for information storage will further complement the Hadoop big data analytics market growth.

Deficiency in safety and lack of proper big data regulatory framework is presumed to hamper the industry growth. Skilled personnel shortage that can convert machine language to operational solutions for data warehousing and advanced analytics will further reduce the rate of increase over the eight years. Big data safety and security intelligence solutions are areas that are presumed to offer ample growth opportunities for industry participants over the forecast period.

Companies are spending heavily on R&D initiatives for developing integrated solutions that provide superior advantages. End-use industries are taking extra efforts to minimize hardware costs to hold market position and gain a competitive edge in the Hadoop big data analytics market.

Network optimization, churn prevention, location-based initiatives, and social media & sentiment analysis, and weather forecasting are the key applications for this market. Network optimization helps in the real-time study and can be used for destruction control applications. Information services related to accurate location and exact information needs are made possible by big data analytics. Information collected from social media and are subjecting this information to detailed emotion analysis is expected to offer ample growth opportunities for the related companies.

Hadoop Big Data Analytics Market Segmentation Analysis

The Global Hadoop Big Data Analytics Market is segmented on the Application, Vertical, Component, and Geography.

Hadoop Big Data Analytics Market, By Application

  • Customer Analytics
  • Internet of Things (IoT)
  • Merchandising & Supply Chain Analytics
  • Offloading Mainframe Application
  • Others

Based on Application, the market is bifurcated into Customer Analytics, Internet of Things (IoT), Merchandising & Supply Chain Analytics, Offloading Mainframe Application, and Others. The market based on application, the risk & fraud analytics segment is expected to hold the largest shares of the market during the forecast period. The growth of this segment is attributed to the large adoption of Hadoop big data analytics across various industry verticals for preventing any probable security attacks and frauds.

Hadoop Big Data Analytics Market, By Vertical

  • Energy & Utility
  • IT & Telecommunication
  • Media & Entertainment
  • Retail & Consumer Goods
  • Others

Based on Vertical, the market is bifurcated into Energy & Utility, IT & Telecommunication, Media & Entertainment, Retail & Consumer Goods, and Others. The BFSI segment accounted for the largest market share and is likely to witness a maximum CAGR during the forecast period. Banking, financial services, and insurance involve a tremendous amount of data generation. Being a highly regulated sector, it requires dynamic solutions. The legacy platforms used by organizations in the sector are being supplanted by advanced software frameworks such as Hadoop big data analytics.

Hadoop Big Data Analytics Market, By Component

  • Solutions
  • Services

Based on Component, the market is bifurcated into Solutions and Services. The solution segment is expected to be a major contributor to the market during the forecast period. This is attributable to the increasing demand for handling huge data sets on distributed computing environments with the help of extremely scalable and cost-effective solutions provided by Hadoop.

Hadoop Big Data Analytics Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Rest of the world
  • On the basis of regional analysis, the Global Hadoop Big Data Analytics Market is classified into North America, Europe, Asia Pacific, and Rest of the world. North America and Europe dominated this market in the recent past and are expected to show a similar trend over the forecast period. Developing regions such as the Asia Pacific is projected to observe rapid growth over the forecast period owing to rapid industrialization and urbanization. Government initiatives such as creating smart cities are presumed to open up ample growth opportunities over the next eight years.

Key Players

The "Global Hadoop Big Data Analytics Market" study report will provide a valuable insight with an emphasis on the global market. The major players in the market are IBM Corporation, Microsoft Corporation, Amazon Web Services, Teradata Corporation, Tableau Software Inc. Cloudera Inc., Pentaho Corporation, Marklogic Corporation, SAP SE, Pivotal Software, Inc.

  • The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Key Developments

  • Partnerships, Collaborations and Agreements
  • Cloudera and IBM established a cooperation in June 2019 to deliver AI solutions and enhanced analytics to Apache Hadoop-based enterprises. Data-driven decisions will be made faster as a result of our collaboration.
  • Mergers and Acquisitions
  • Cloudera bought Arcadia Data in September 2019 to improve data analytics time-to-insight. Cloudera and Arcadia Data integrated their technologies after the acquisition. Companies were able to receive the information they needed for business decisions, thanks to these linked technology.
  • HPE purchased MapR's business assets in August of this year. HPE's intelligent data platform capabilities were expedited as a result of this acquisition. HPE was able to offer a whole suite of technologies to power AI and analytics applications as a result of this collaboration. HPE was able to improve its ability to manage customer data assets from the edge to the cloud as a result of this.
  • Product Launches and Product Expansions
  • Google Cloud will release BigQuery Omni powered by Anthos for Multi-Cloud Analytics in July 2020. Without having to pay expensive egress fees for transporting data from other cloud providers to Google Cloud, BigQuery Omni gives businesses the freedom they need to break down silos and develop actionable business insights. It will enable clients to access, evaluate, and discover new insights in a safe and cost-effective manner, enabling corporate innovation.
  • HPE Ezmeral, a new software portfolio and brand that will accelerate data-driven change across enterprises, will be introduced in June 2020. Container orchestration and management, AI/ML and data analytics, cost control, IT automation and AI-driven operations, and security are all part of HPE Ezmeral's comprehensive offering.
  • IBM launched revolutionary AI-powered solutions in April 2020 to aid the Health and Research Community in discovering medical insights and cures for COVID-19.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL HADOOP BIG DATA ANALYTICS MARKET

  • 1.1 Overview of the Market
  • 1.2 Scope of Report
  • 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 3.1 Data Mining
  • 3.2 Validation
  • 3.3 Primary Interviews
  • 3.4 List of Data Sources

4 GLOBAL HADOOP BIG DATA ANALYTICS MARKET OUTLOOK

  • 4.1 Overview
  • 4.2 Market Dynamics
    • 4.2.1 Drivers
    • 4.2.2 Restraints
    • 4.2.3 Opportunities
  • 4.3 Porters Five Force Model
  • 4.4 Value Chain Analysis

5 GLOBAL HADOOP BIG DATA ANALYTICS MARKET, BY APPLICATION

  • 5.1 Overview
  • 5.2 Customer Analytics
  • 5.3 Internet of Things (IoT)
  • 5.4 Merchandising & Supply Chain Analytics
  • 5.5 Offloading Mainframe Application
  • 5.6 Risk & Fraud Analytics
  • 5.7 Others

6 GLOBAL HADOOP BIG DATA ANALYTICS MARKET, BY VERTICAL

  • 6.1 Overview
  • 6.2 Energy & Utility
  • 6.3 IT & Telecommunication
  • 6.4 Media & Entertainment
  • 6.5 Retail & Consumer Goods
  • 6.6 Transportation & SCM
  • 6.7 Others

7 GLOBAL HADOOP BIG DATA ANALYTICS MARKET, BY COMPONENT

  • 7.1 Overview
  • 7.2 Solutions
    • 7.2.1 Application Software
    • 7.2.2 Management Software
    • 7.2.3 Packaged Software
    • 7.2.4 Others
  • 7.3 Services
    • 7.3.1 Admin & Managed Services
    • 7.3.2 Consulting & Development Services
    • 7.3.3 Others

8 GLOBAL HADOOP BIG DATA ANALYTICS MARKET, BY GEOGRAPHY

  • 8.1 Overview
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 U.K.
    • 8.3.3 France
    • 8.3.4 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 India
    • 8.4.4 Rest of Asia Pacific
  • 8.5 Rest of the World
    • 8.5.1 Latin America
    • 8.5.2 Middle East

9 GLOBAL HADOOP BIG DATA ANALYTICS MARKET COMPETITIVE LANDSCAPE

  • 9.1 Overview
  • 9.2 Company Market Ranking
  • 9.3 Key Development Strategies

10 COMPANY PROFILES

  • 10.1 IBM Corporation
    • 10.1.1 Overview
    • 10.1.2 Financial Performance
    • 10.1.3 Product Outlook
    • 10.1.4 Key Developments
  • 10.2 Microsoft Corporation
    • 10.2.1 Overview
    • 10.2.2 Financial Performance
    • 10.2.3 Product Outlook
    • 10.2.4 Key Developments
  • 10.3 Amazon Web Services
    • 10.3.1 Overview
    • 10.3.2 Financial Performance
    • 10.3.3 Product Outlook
    • 10.3.4 Key Developments
  • 10.4 Teradata Corporation
    • 10.4.1 Overview
    • 10.4.2 Financial Performance
    • 10.4.3 Product Outlook
    • 10.4.4 Key Developments
  • 10.5 Tableau Software, Inc.
    • 10.5.1 Overview
    • 10.5.2 Financial Performance
    • 10.5.3 Product Outlook
    • 10.5.4 Key Developments
  • 10.6 Cloudera Inc.
    • 10.6.1 Overview
    • 10.6.2 Financial Performance
    • 10.6.3 Product Outlook
    • 10.6.4 Key Developments
  • 10.7 Pentaho Corporation
    • 10.7.1 Overview
    • 10.7.2 Financial Performance
    • 10.7.3 Product Outlook
    • 10.7.4 Key Developments
  • 10.8 Marklogic Corporation
    • 10.8.1 Overview
    • 10.8.2 Financial Performance
    • 10.8.3 Product Outlook
    • 10.8.4 Key Developments
  • 10.9 Pivotal Software, Inc.
    • 10.9.1 Overview
    • 10.9.2 Financial Performance
    • 10.9.3 Product Outlook
    • 10.9.4 Key Developments
  • 10.10 SAP SE
    • 10.10.1 Overview
    • 10.10.2 Financial Performance
    • 10.10.3 Product Outlook
    • 10.10.4 Key Developments

11 Appendix

  • 11.1 Related Research