市場調查報告書

全球Hadoop巨量資料分析市場:成長,趨勢,預測(2018年∼2023年)

Hadoop Big Data Analytics Market - Growth, Trends and Forecast (2020 - 2025)

出版商 Mordor Intelligence LLP 商品編碼 669974
出版日期 內容資訊 英文 142 Pages
商品交期: 2-3個工作天內
價格
Back to Top
全球Hadoop巨量資料分析市場:成長,趨勢,預測(2018年∼2023年) Hadoop Big Data Analytics Market - Growth, Trends and Forecast (2020 - 2025)
出版日期: 2020年01月01日內容資訊: 英文 142 Pages
簡介

全球Hadoop巨量資料分析市場,預計從2018年到2023年以超越40%的年複合成長率成長。

本報告提供全球Hadoop巨量資料分析市場調查,市場概要,各用途、引進類型、服務、解決方案、終端用戶產業、地區的市場規模的變化與預測,市場趨勢,成長要素、阻礙因素以及市場機會分析,競爭情形,主要企業的簡介等全面性資訊。

目錄

第1章 簡介

  • 調查成果
  • 市場定義
  • 調查的前提條件

第2章 調查方法

第3章 摘要整理

第4章 市場分析

  • 市場概要
  • 波特的五力分析
    • 買方議價能力
    • 供給企業談判力
    • 新加入業者的威脅
    • 替代品的威脅
    • 競爭企業間的敵對關係
  • 產業價值鏈分析
  • 產業政策
  • 技術概要

第5章 市場動態

  • 成長要素
    • 對巨量資料分析領域中技術發展的需求高漲
    • 工業IoT(IIoT)的需求高漲
    • 與傳統分析工具(RDBMS)比較,成本效率更出色的Hadoop技術的需求增加
  • 阻礙因素
    • 非結構化的分散式資料的數量上的增加
    • Hadoop系統的巨量資料的利用相關法規的增加
    • 莫大的初期投資費用
  • 市場機會
    • 分析的使用推動資料驅動型商務

第6章 全球Hadoop巨量資料分析市場:各市場區隔

  • 各用途
    • 社群媒體分析
    • 感情分析
    • 營運情報
    • 客戶分析
    • 風險、詐欺分析
    • 安全情報
  • 各引進類型
    • 雲端
    • 內部部署
    • 混合
  • 各類服務
    • 專業服務
    • 管理服務
  • 各解決方案
    • 軟體套件
    • 管理軟體
    • 應用軟體
  • 各終端用戶產業
    • IT、通訊
    • 銀行、金融服務、保險
    • 製造
    • 醫療
    • 零售
    • 能源、公共事業
    • 政府、防衛
    • 其他
  • 各地區
    • 北美
    • 歐洲
    • 亞太地區
    • 南美
    • 中東、非洲

第7章 競爭情形 - 企業簡介

  • Tableau Software, Inc.
  • Teradata Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Cloudera Inc.
  • Intel Corporation
  • Cisco Systems, Inc.
  • SAP SE
  • Amazon Web Services, Inc.
  • 日立 (Pentaho Corporation)
  • Alphabet Inc. (Google Cloud)
  • SAS Institute Inc.
  • Hortonworks Inc.
  • Hewlett Packard Enterprise Development LP
  • MongoDB Inc.
  • Mapr Technologies, Inc.
  • Oracle Corporation
  • Datameer, Inc.

第8章 投資分析

第9章 市場未來展望

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

目錄
Product Code: 62360

Market Overview

The Hadoop Big Data Analytics Market was valued at USD 3.61 billion in 2019 and is expected to reach USD 13.65 billion by 2025, at a CAGR of 30.47% over the forecast period 2020 - 2025.

  • For telecom operators, the surge of data from social platforms, connected devices, call data records, poses great challenges in managing the data. For telcos, big data analytics enables real-time insights on potential risk factors, thus enabling them to mitigate fraudulent risks and enhance the business revenues, while maintaining customer satisfaction.
  • The banking and finance industry benefits from faster processing and data management at a minimal cost. Big Data analytics helps financial firms in retaining more of their customers, by analyzing behavior and identifying patterns that lead to customer abandonment. Other Big Data applications in the banking and finance sector include customer segmentation and experience analysis, credit risk assessment, and targeted services.
  • Lack of awareness and security concerns are the major reasons that challenge the 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 the organizations a fortune, and also hamper their brand identity.

Scope of the Report

Due to the advances in new technologies, devices, and communication, the amount of data produced is growing rapidly y-o-y. The market studied is primarily driven by the increasing demand for the deployment of Big Data analytics solutions for analyzing exponentially growing structured and unstructured data, to obtain actionable insights, which can be used for several decision-making processes in the future. The need is especially imperative across the banking, and IT and telecom industries. However, the adoption across the manufacturing and healthcare sectors is estimated to make a huge impact on the overall market, considering the rapid IoT adoption.

Key Market Trends

Data Discovery and Visualisation is Gaining Traction Due to Emergence of Big Data Analytics

  • Businesses are majorly turning to visualization-based data discovery solutions. These solutions promote self-service business intelligence (BI), enabling the multitude of users to easily integrate data from a wide range of sources- clickstreams, log files, social media, videos, and more.
  • The growing trend toward visualization-based data discovery tools is worth exploring by any organization that seeks to derive more value from Big Data. The potential business benefits are significant and data governance practices can be used to help ensure the safe transition.
  • One of the factors driving the increase of visualization-based data discovery solution is the growing availability of mobile devices. Organizations that continue to rely on centralized creation of reports by the few highly trained experts are missing an opportunity to adopt the faster, cost-effective, and more democratized business intelligence model which takes advantage of the intersection of the mobile workforce and Big Data and to speed insights and enhance collaboration.

North America Region is Expected to Grow at a Significant Rate

  • North America is among the leading innovators and pioneers, in terms of adoption, for Big Data analytics and this region is the largest market. The region has a strong foothold of Big Data analytics vendors, which adds to the growth of the market.
  • 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.

Competitive Landscape

The hadoop big data analytics market is moderately competitive and consists of a few major players. In terms of market share, some of the players currently dominate the market. However, with the advancement in the analytics across the managed services, new players are increasing their market presence thereby expanding their business footprint across the emerging economies.

  • October 2019 - Alteryx, Inc. announced that it had acquired Feature Labs, a data science software company launched out of Massachusetts Institute of Technology (MIT) that automates feature engineering for machine learning and artificial intelligence (AI) applications. The acquisition of Feature Labs will further enable Alteryx to help organizations empower every data worker to fill the data science and machine learning talent gap.
  • October 2019 - In an expansion to their existing collaboration, SAS is creating a best-in-class hybrid cloud analytics solution by delivering its market-leading analytics on Red Hat OpenShift, the industry's most comprehensive enterprise Kubernetes platform from Red Hat, the world's leading provider of open source technologies. The collaboration between SAS and Red Hat combines market-leading analytics with the industry's most comprehensive enterprise Kubernetes platform in Red Hat OpenShift, helping to accelerate customer adoption of analytics across the hybrid cloud.

Reasons to Purchase this report:

  • The market estimate (ME) sheet in Excel format
  • Report customization as per the client's requirements
  • 3 months of analyst support

Table of Contents

1 INTRODUCTION

  • 1.1 Study Assumptions
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 GROWING VOLUME OF UNSTRUCTURED DATA
    • 4.2.2 ADVENT OF IOT AND INDUSTRY 4.0 ADOPTION
  • 4.3 Market Restraints
    • 4.3.1 SECURITY CONCERNS AND SKILL GAP
  • 4.4 Industry Value Chain Analysis
  • 4.5 Industry Attractiveness - Porter's Five Force Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 By Solutions
    • 5.1.1 Data Discovery and Visualization (DDV)
    • 5.1.2 Advanced Analytics (AA)
  • 5.2 By End User
    • 5.2.1 BFSI
    • 5.2.2 Retail
    • 5.2.3 IT and Telecom
    • 5.2.4 Healthcare and Life Sciences
    • 5.2.5 Manufacturing
    • 5.2.6 Media and Entertainment
    • 5.2.7 Other End Users
  • 5.3 Geography
    • 5.3.1 North America
    • 5.3.2 Europe
    • 5.3.3 Asia-Pacific
    • 5.3.4 Latin America
    • 5.3.5 Middle-East and Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Alteryx Inc.
    • 6.1.2 Fair, Isaac, and Company(FICO)
    • 6.1.3 IBM Corporation
    • 6.1.4 Microsoft Corporation
    • 6.1.5 Micro Strategy Incorporated
    • 6.1.6 SAS Institute Inc.
    • 6.1.7 Tibco Software
    • 6.1.8 Amazon Inc. (AWS)
    • 6.1.9 Salesforce.com Inc. (Tableau Software Inc.)
    • 6.1.10 QLIK Tech International
    • 6.1.11 SISENSE Inc.
    • 6.1.12 Dell Technologies Inc.
    • 6.1.13 Hitachi Consulting
    • 6.1.14 Hewlett Packard Company
    • 6.1.15 Splunk Inc.

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS

Back to Top