Hadoop 大數據分析市場 - 增長、趨勢、COVID-19 影響和預測 (2023-2028)
市場調查報告書
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1273346

Hadoop 大數據分析市場 - 增長、趨勢、COVID-19 影響和預測 (2023-2028)

Hadoop Big Data Analytics Market - Growth, Trends, and Forecasts (2023 - 2028)

出版日期: | 出版商: Mordor Intelligence | 英文 142 Pages | 商品交期: 2-3個工作天內

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簡介目錄

在預測期內,Hadoop 大數據分析市場預計將以 16.10% 的複合年增長率增長。

Hadoop 是一個開源大數據分析平台,它使用商用硬件集群快速高效地存儲和處理大量結構化和非結構化數據。 它具有可擴展性,因為如果需要更多處理,您可以將計算節點添加到集群中。

主要亮點

  • 隨著大數據的收集、存儲和處理變得越來越自動化,預計大數據分析市場的增長將發生重大變化。
  • 各行各業的企業都在經歷數字化轉型,並增加了更多的自助服務解決方案。 因此,文本、文件、圖像和照片等非結構化數據的數量正在顯著增加,從 GB 到 TB 到 PB,這是 RDBMS 等傳統工具無法跟上的。 無法獲得他們想要的結果,企業可能無法從他們每天生成的龐大數據量中充分受益。 因此,隨著公司處理數 TB 的數據,像 Hadoop 這樣的數據平台受到青睞。
  • 在預測期內,各行業的工業 4.0 實踐將為採用大數據分析開闢更多空間。 到 2023 年,智能製造收入預計將達到 2166.3 億美元,推動流程效率和產品性能的大數據分析有望成為智能製造戰略的一部分
  • 缺乏意識和安全顧慮是阻礙市場增長的主要原因。 在當今快節奏的世界中,保護個人數據安全也已成為小型企業的首要任務。 網絡攻擊的興起給企業造成了損失,並削弱了它們的品牌形象。 公司可能對採用大數據環境猶豫不決,因為數據庫和可視化儀表板使它們更容易受到攻擊。
  • COVID-19 影響了技術領域的所有元素,擾亂了硬件供應鏈並減少了製造活動,減緩了 IT 基礎架構。

Hadoop 大數據分析市場趨勢

零售增長

  • 零售業正在經歷一場借助高級分析和大數據技術的重大變革。 隨著電子商務和在線購物的發展以及對客戶忠誠度的激烈競爭,零售商正在利用大數據分析來保持市場競爭力。
  • 在零售行業,從了解客戶行為、預測需求到優化定價,每個零售階段都使用大數據分析。 大數據在零售業的許多用途包括降低全系統成本、改善在線和店內客戶體驗、數據驅動的自適應供應鏈以及實時分析和定位。
  • MapR 技術等供應商可幫助零售商在一個中央存儲庫中存儲、整合和分析各種線上和線下客戶數據、電子商務交易、點擊流數據、電子郵件、社交媒體和呼叫中心記錄。我們提供大量數據平台,使
  • 最近,時裝零售商 H&M 開始使用大數據調整其實體店的商品組合。 這家時裝零售商使用算法從退貨、收據和會員卡數據中獲取洞察力,以提高收入。
Hadoop大數據分析市場-IMG1

北美有望顯著增長

  • IBM Corporation、Microsoft Corporation、SAS Institute, Inc.、Alteryx, Inc.、Fair Isaac Corporation、Microstrategy Incorporated 等。 最近,微軟擴大了與 Hortonworks 的合作夥伴關係,以幫助將開源大數據分析和 Apache Hadoop 引入雲端。 預計這些領先公司為加強產品供應而建立的合作夥伴關係將在預測期內積極推動市場增長。
  • 新業務洞察力的增長推動了美國大數據分析市場的擴張。 大數據正在幫助該地區的許多公司取得直接提升業務績效的成果,例如改善客戶體驗、加強營銷以及識別欺詐和浪費。
  • 許多新工具使數據在美國更易於訪問。 利用大數據所需的許多技術和設置工作環境所需的專業知識都很複雜。 然而,越來越多的最終用戶解決方案允許公司從現成的軟件包開始,並且需要更少的硬件集成和更少的編碼技能。
Hadoop大數據分析市場-IMG2

Hadoop大數據分析行業概覽

Hadoop 大數據分析市場競爭適中,由幾家主要參與者組成。 目前,一些競爭對手在市場份額方面佔據主導地位。 然而,由於託管服務分析的發展,新的競爭對手增加了他們在新興市場的市場份額,從而產生了商業足跡。

  • 2022 年 10 月 - Alteryx 宣布將推出 Alteryx 分析雲平台的新開發成果。 該平台提供在雲中統一且易於訪問的端到端分析,新的雲、機器學習和安全進步加速了整個企業的分析,以提供改變業務的洞察力。

其他福利:

  • Excel 格式的市場預測 (ME) 表
  • 3 個月的分析師支持

內容

第一章介紹

  • 調查假設和市場定義
  • 本次調查的範圍

第二章研究方法論

第 3 章執行摘要

第 4 章市場洞察

  • 市場概覽
  • 行業價值鏈分析
  • 行業吸引力 - 波特五力分析
    • 供應商的議價能力
    • 買家和消費者的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭公司之間的敵對關係

第 5 章市場動態

  • 市場驅動力
    • 非結構化數據的增長
    • 物聯網和工業 4.0 廣告端口的出現
  • 市場製約因素
    • 安全問題和技能差距

第 6 章市場細分

  • 解決方案
    • 數據發現和可視化 (DDV)
    • 高級分析 (AA)
  • 最終用戶
    • BFSI
    • 零售
    • IT/電信
    • 醫療保健/生命科學
    • 製造業
    • 媒體和娛樂
    • 其他最終用戶
  • 地區
    • 北美
      • 美國
      • 加拿大
    • 歐洲
      • 英國
      • 德國
      • 其他歐洲
    • 亞太地區
      • 中國
      • 日本
      • 其他亞太地區
    • 拉丁美洲
    • 中東和非洲

第七章競爭格局

  • 公司簡介
    • 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.

第八章投資分析

第九章市場機會與未來趨勢

簡介目錄
Product Code: 62360

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.
Hadoop Big Data Analytics Market - IMG1

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 Market - IMG2

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