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市場調查報告書
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1641931

Hadoop巨量資料分析 -市場佔有率分析、產業趨勢與統計、成長預測（2025-2030 年）

Hadoop Big Data Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
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

預測期內，Hadoop巨量資料分析市場預計將以 16.1% 的複合年成長率成長

Hadoop 巨量資料分析-市場-IMG1

關鍵亮點

  • 巨量資料收集、儲存和處理的自動化程度不斷提高有望重塑和加強巨量資料分析市場的成長。
  • 各行各業的公司都在進行數位轉型並增加更多的自助服務解決方案。因此，非結構化資料（文字、文件、圖像、照片）的數量正在呈指數級成長，從資料到Terabyte再到Petabyte。然而，RDBMS 等傳統工具可能無法提供預期的結果，企業可能無法充分受益於每天產生的大量資料。這就是為什麼隨著企業轉向Terabyte資料，像 Hadoop 這樣的資料平台越來越受歡迎的原因。
  • 各行業擴大採用工業 4.0 實踐，這將為預測期內巨量資料分析的採用提供更大的空間。預計到2023年智慧製造收益將達到2,166.3億美元，巨量資料分析可望成為智慧製造策略的一部分，以提高流程效率和產品效能。
  • 缺乏意識和安全問題是阻礙市場成長的主要原因。如今，在這個快節奏的世界裡，保護個人資料安全已經成為即使是中小型企業的首要任務。網路攻擊的增多給組織帶來了巨大的損失，同時也阻礙了品牌身分驗證。公司可能不願意採用巨量資料環境，因為資料庫和視覺化儀表板使它們更容易受到攻擊。
  • COVID-19 正在影響技術領域的每個要素，由於硬體供應鏈中的分銷和製造活動減少，IT基礎設施的成長放緩。

Hadoop巨量資料分析市場趨勢

零售業呈現成長態勢

  • 在先進的分析和巨量資料技術推動下，零售業正在經歷重大轉型。隨著電子商務和網路購物的成長以及客戶忠誠度競爭的加劇，零售商開始轉向巨量資料分析以保持市場競爭力。
  • 在零售業，巨量資料分析應用於零售的每個階段，以了解客戶行為、預測需求、最佳化定價等。巨量資料在零售業的眾多用途包括全系統成本降低、改善線上和店內客戶體驗、資料主導的自適應供應鏈以及即時分析和定位。
  • MapR Technologies 等供應商正在開發巨量資料巨量資料，使企業能夠儲存、整合和分析各種資料，包括線上和離線客戶資料、電子商務交易、點選流資料、電子郵件、社交媒體和客服中心記錄，在一個中央儲存庫中。
  • 最近，時尚零售商H&M開始使用巨量資料來調整實體店的商品行銷。時尚零售商使用演算法從退貨、收據和會員集點卡資料中獲取見解，以提高收益。

預計北美將出現顯著成長

  • 範例包括 IBM Corporation、Microsoft Corporation、SAS Institute, Inc.、Alteryx, Inc.、Fair Isaac Corporation 和 Microstrategy Incorporated。最近，微軟擴大了與 Hortonworks 的合作，以協助將開放原始碼巨量資料分析和 Apache Hadoop 引入雲端。預計這些領先公司為增強其產品供應而進行的合作將在預測期內積極推動市場成長。
  • 在美國，新商業洞察力的成長正在促進巨量資料分析市場的擴張。巨量資料正在幫助該地區的許多企業取得直接轉化為更好業務績效的成果，例如改善客戶體驗、增強行銷以及識別詐欺和浪費。
  • 在美國，出現了許多新工具，使得資料越來越容易取得。利用巨量資料所需的許多技術和創建工作環境所需的專業知識都很複雜。然而，終端方便用戶使用的解決方案日益湧現，使得公司能夠使用現成的封裝，而不需要大量的硬體整合或編碼技能。

Hadoop巨量資料分析產業概覽

Hadoop巨量資料分析市場的競爭適中，由幾家主要企業組成。目前，一些競爭對手在市場佔有率佔有率上佔據主導地位。然而，隨著託管服務分析市場的發展，新的競爭對手正在新興市場中獲得市場佔有率，從而擴大其貿易領域。

  • 2022 年 10 月-Alteryx 宣布推出其 Alteryx Analytics Cloud 平台的新開發成果。 Alteryx Analytics Cloud 平台在雲端提供統一、易於理解的端對端分析。

其他福利

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

目錄

第 1 章 簡介

  • 研究假設和市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

  • 市場概況
  • 產業價值鏈分析
  • 產業吸引力-波特五力分析
    • 供應商的議價能力
    • 購買者/消費者的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手之間的競爭

第5章 市場動態

  • 市場促進因素
    • 非結構化資料的成長
    • 物聯網和工業4.0的出現
  • 市場限制
    • 安全問題和技能差距

第6章 市場細分

  • 解決方案
    • 資料發現和視覺化 (DDV)
    • 高級分析（AA）
  • 最終用戶
    • BFSI
    • 零售
    • 資訊科技/通訊
    • 醫療保健和生命科學
    • 製造業
    • 媒體娛樂
    • 其他
  • 地區
    • 北美洲
      • 美國
      • 加拿大
    • 歐洲
      • 英國
      • 德國
      • 歐洲其他地區
    • 亞太地區
      • 中國
      • 日本
      • 其他亞太地區
    • 拉丁美洲
    • 中東和非洲

第7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8章投資分析

第9章 市場機會與未來趨勢

簡介目錄
Product Code: 62360

The Hadoop Big Data Analytics Market is expected to register a CAGR of 16.1% during the forecast period.

Hadoop Big Data Analytics - Market - IMG1

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