Hadoop 大数据分析市场 - 增长、趋势、COVID-19 影响和预测 (2023-2028)

在预测期内，Hadoop 大数据分析市场预计将以 16.10% 的复合年增长率增长。

Hadoop 是一个开源大数据分析平台，它使用商用硬件集群快速高效地存储和处理大量结构化和非结构化数据。 它具有可扩展性，因为如果需要更多处理，您可以将计算节点添加到集群中。

主要亮点

• 随着大数据的收集、存储和处理变得越来越自动化，预计大数据分析市场的增长将发生重大变化。
• 各行各业的企业都在经历数字化转型，并增加了更多的自助服务解决方案。 因此，文本、文件、图像和照片等非结构化数据的数量正在显着增加，从 GB 到 TB 到 PB，这是 RDBMS 等传统工具无法跟上的。 无法获得他们想要的结果，企业可能无法从他们每天生成的庞大数据量中充分受益。 因此，随着公司处理数 TB 的数据，像 Hadoop 这样的数据平台受到青睐。
• 在预测期内，各行业的工业 4.0 实践将为采用大数据分析开闢更多空间。 到 2023 年，智能製造收入预计将达到 2166.3 亿美元，推动流程效率和产品性能的大数据分析有望成为智能製造战略的一部分
• 缺乏意识和安全顾虑是阻碍市场增长的主要原因。 在当今快节奏的世界中，保护个人数据安全也已成为小型企业的首要任务。 网络攻击的兴起给企业造成了损失，并削弱了它们的品牌形象。 公司可能对采用大数据环境犹豫不决，因为数据库和可视化仪表板使它们更容易受到攻击。
• COVID-19 影响了技术领域的所有元素，扰乱了硬件供应链并减少了製造活动，减缓了 IT 基础架构。

Hadoop 大数据分析市场趋势

零售增长

• 零售业正在经历一场借助高级分析和大数据技术的重大变革。 随着电子商务和在线购物的发展以及对客户忠诚度的激烈竞争，零售商正在利用大数据分析来保持市场竞争力。
• 在零售行业，从了解客户行为、预测需求到优化定价，每个零售阶段都使用大数据分析。 大数据在零售业的许多用途包括降低全系统成本、改善在线和店内客户体验、数据驱动的自适应供应链以及实时分析和定位。
• MapR 技术等供应商可帮助零售商在一个中央存储库中存储、整合和分析各种线上和线下客户数据、电子商务交易、点击流数据、电子邮件、社交媒体和呼叫中心记录。我们提供大量数据平台，使
• 最近，时装零售商 H&M 开始使用大数据调整其实体店的商品组合。 这家时装零售商使用算法从退货、收据和会员卡数据中获取洞察力，以提高收入。

北美有望显着增长

• IBM Corporation、Microsoft Corporation、SAS Institute, Inc.、Alteryx, Inc.、Fair Isaac Corporation、Microstrategy Incorporated 等。 最近，微软扩大了与 Hortonworks 的合作伙伴关係，以帮助将开源大数据分析和 Apache Hadoop 引入云端。 预计这些领先公司为加强产品供应而建立的合作伙伴关係将在预测期内积极推动市场增长。
• 新业务洞察力的增长推动了美国大数据分析市场的扩张。 大数据正在帮助该地区的许多公司取得直接提升业务绩效的成果，例如改善客户体验、加强营销以及识别欺诈和浪费。
• 许多新工具使数据在美国更易于访问。 利用大数据所需的许多技术和设置工作环境所需的专业知识都很复杂。 然而，越来越多的最终用户解决方案允许公司从现成的软件包开始，并且需要更少的硬件集成和更少的编码技能。

Hadoop大数据分析行业概览

Hadoop 大数据分析市场竞争适中，由几家主要参与者组成。 目前，一些竞争对手在市场份额方面占据主导地位。 然而，由于託管服务分析的发展，新的竞争对手增加了他们在新兴市场的市场份额，从而产生了商业足迹。

• 2022 年 10 月 - Alteryx 宣布将推出 Alteryx 分析云平台的新开发成果。 该平台提供在云中统一且易于访问的端到端分析，新的云、机器学习和安全进步加速了整个企业的分析，以提供改变业务的洞察力。

其他福利：

• Excel 格式的市场预测 (ME) 表
• 3 个月的分析师支持

内容

第一章介绍

• 调查假设和市场定义
• 本次调查的范围

第二章研究方法论

第 3 章执行摘要

第 4 章市场洞察

• 市场概览
• 行业价值链分析
• 行业吸引力 - 波特五力分析
  • 供应商的议价能力
  • 买家和消费者的议价能力
  • 新进入者的威胁
  • 替代品的威胁
  • 竞争公司之间的敌对关係

第 5 章市场动态

• 市场驱动力
  • 非结构化数据的增长
  • 物联网和工业 4.0 广告端口的出现
• 市场製约因素
  • 安全问题和技能差距

第 6 章市场细分

• 解决方案
  • 数据发现和可视化 (DDV)
  • 高级分析 (AA)
• 最终用户
  • BFSI
  • 零售
  • IT/电信
  • 医疗保健/生命科学
  • 製造业
  • 媒体和娱乐
  • 其他最终用户
• 地区
  • 北美
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 其他欧洲
  • 亚太地区
    • 中国
    • 日本
    • 其他亚太地区
  • 拉丁美洲
  • 中东和非洲

第七章竞争格局

• 公司简介
  • Alteryx Inc.
  • Fair, Isaac, and Company（FICO）
  • IBM Corporation
  • Microsoft Corporation
  • Micro Strategy Incorporated
  • SAS Institute Inc.
  • Tibco Software
  • Amazon Inc.（AWS）
  • Salesforce.com Inc.（Tableau Software Inc.）
  • QLIK Tech International
  • SISENSE Inc.
  • Dell Technologies Inc.
  • Hitachi Consulting
  • Hewlett Packard Company
  • Splunk Inc.

第八章投资分析

第九章市场机会与未来趋势

The Hadoop Big Data Analytics Market will register a CAGR of 16.10% over the forecast period. Hadoop is an efficient open-source big data analytics platform that can store and process a substantial amount of structured and unstructured data quickly and efficiently by using a cluster of commodity hardware; It replicates any stored file three times to guarantee reliability, availability, and fault tolerance. It is scalable as additional compute nodes can be added to the cluster if further processing is required.

Key Highlights

• The increasing automation for the Big Data collection, storage, and processing is expected to reshape and enhance the growth of the Big Data analytics market.
• Enterprises across industries are undergoing digital transformation and adding more self-service solutions. Therefore, the amount of unstructured data in text, files, images, and pictures is increasing significantly, with data volume increasing from gigabytes to terabytes and petabytes, traditional tools like RDBMS. Fail to give desired results, and the enterprise may not entirely benefit from the extensive data generated daily. Therefore, data platforms like Hadoop are gaining traction as enterprises progress toward terabytes of data.
• The growth in the industrial 4.0 practices across industries provides more scope for accepting Big Data analytics over the forecast period. With revenues from smart manufacturing expected to reach USD 216.63 billion by 2023, Big Data analytics is expected to become a part of the smart manufacturing strategies, as it offers improved efficiency of the process and performance of the product.
• Lack of awareness and security concerns are the significant reasons that challenge market growth. Presently, storing personal data securely in this fast-paced world has become the most important task, even for SMEs. Increasing cyber-attacks cost organizations a fortune and also hamper their brand identity. As databases and visual dashboards add to the vulnerability of the enterprise, the enterprises may hesitate to deploy Big Data environments.
• COVID-19 has impacted all the elements of the technologies sector; it has slowed down the IT infrastructure owing to the distributions in the hardware supply chain and reduced manufacturing activities.

Hadoop Big Data Analytics Market Trends

Retail Sector to Witness the Growth

• The retail industry is witnessing a significant transformation through advanced analytics and Big Data technologies. With the growth of e-commerce, online shopping, and high competition for customer loyalty, retailers are utilizing Big Data analytics to stay competitive in the market.
• In the retail sector, Big Data analytics is used at every retail stage to understand customer behavior, predict demand, and optimize pricing. Most of the Big Data applications in retail are for system-wide cost reduction, improving online and in-store customer experience, data-driven adaptive supply chains, and real-time analytics and targeting.
• Vendors, such as MapR technologies, are offering a Big Data platform that helps retailers store, integrate and analyze a wide variety of online and offline customer data, e-commerce transactions, clickstream data, email, social media, and call center records, all in one central repository.
• Recently, fashion retailer H&M started using Big Data to tailor its merchandising mix in its brick-and-mortar stores. The fashion retailer uses algorithms to gain insights from returns, receipts, and data from loyalty cards to enhance its bottom line.

North America Region is Expected to Grow at a Significant Rate

• Some include IBM Corporation, Microsoft Corporation, SAS Institute, Inc., Alteryx, Inc., Fair Isaac Corporation, and Microstrategy Incorporated, among others. Recently, Microsoft extended the partnership with Hortonworks, which was instrumental in bringing the open source Big Data analytics and Apache Hadoop to the Cloud. This partnership by major players to enhance their product offerings is anticipated to positively drive the market's growth over the forecast period.
• The growth of new business insights is contributing to the expansion of the Big Data analytics market in the United States. Big Data is helping many companies in the region to improve customer experience, enhance marketing, identify fraud and waste, and achieve other results that directly strengthen business performance.
• Many new tools in the US are making data more and more accessible. Much of the technology required to harness the Big Data and expertise needed to create working environments are complex. However, many end-user-friendly solutions are continuously growing, enabling businesses to start with an off-the-shelf package and with less hardware integration and coding skills needed.

Hadoop Big Data Analytics Industry Overview

The hadoop big data analytics market is moderately competitive and consists of a few major players. Currently, some of the competitors control the market in terms of market share. However, new competitors are expanding their market share and, consequently, their commercial footprint throughout emerging markets as a result of the development in managed service analytics.

• October 2022 - Alteryx has announced introducing new developments on the Alteryx Analytics Cloud platform, which provides unified and approachable end-to-end analytics in the Cloud, where New cloud, machine learning and security advancements accelerate enterprise-wide analytics to deliver business-changing insights.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

• 4.1 Market Overview
• 4.2 Industry Value Chain Analysis
• 4.3 Industry Attractiveness - Porter's Five Force Analysis
  • 4.3.1 Bargaining Power of Suppliers
  • 4.3.2 Bargaining Power of Buyers/Consumers
  • 4.3.3 Threat of New Entrants
  • 4.3.4 Threat of Substitute Products
  • 4.3.5 Intensity of Competitive Rivalry

5 MARKET DYNAMICS

• 5.1 Market Drivers
  • 5.1.1 Gowing Volume of Unstructured Data
  • 5.1.2 The advent of IoT and Industry 4.0 Adpotion
• 5.2 Market Restraints
  • 5.2.1 Security Concerns and Skills Gap

6 MARKET SEGMENTATION

• 6.1 Solution
  • 6.1.1 Data Discovery and Visualization (DDV)
  • 6.1.2 Advanced Analytics (AA)
• 6.2 End User
  • 6.2.1 BFSI
  • 6.2.2 Retail
  • 6.2.3 IT and Telecom
  • 6.2.4 Healthcare and Life Sciences
  • 6.2.5 Manufacturing
  • 6.2.6 Media and Entertainment
  • 6.2.7 Other End Users
• 6.3 Geography
  • 6.3.1 North America
    • 6.3.1.1 United States
    • 6.3.1.2 Canada
  • 6.3.2 Europe
    • 6.3.2.1 United Kingdom
    • 6.3.2.2 Germany
    • 6.3.2.3 Rest of Europe
  • 6.3.3 Asia-Pacific
    • 6.3.3.1 China
    • 6.3.3.2 Japan
    • 6.3.3.3 Rest of Asia-Pacific
  • 6.3.4 Latin America
  • 6.3.5 Middle-East and Africa

7 COMPETITIVE LANDSCAPE

• 7.1 Company Profiles
  • 7.1.1 Alteryx Inc.
  • 7.1.2 Fair, Isaac, and Company(FICO)
  • 7.1.3 IBM Corporation
  • 7.1.4 Microsoft Corporation
  • 7.1.5 Micro Strategy Incorporated
  • 7.1.6 SAS Institute Inc.
  • 7.1.7 Tibco Software
  • 7.1.8 Amazon Inc. (AWS)
  • 7.1.9 Salesforce.com Inc. (Tableau Software Inc.)
  • 7.1.10 QLIK Tech International
  • 7.1.11 SISENSE Inc.
  • 7.1.12 Dell Technologies Inc.
  • 7.1.13 Hitachi Consulting
  • 7.1.14 Hewlett Packard Company
  • 7.1.15 Splunk Inc.

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS