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Hadoopビッグデータ分析の世界市場規模：用途別、業界別、コンポーネント別、地域別、範囲および予測

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
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英文 202 Pages
納期
2～3営業日
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.06円
Hadoopビッグデータ分析の世界市場規模：用途別、業界別、コンポーネント別、地域別、範囲および予測
出版日: 2024年10月06日
発行: Verified Market Research
ページ情報: 英文 202 Pages
納期: 2～3営業日
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概要

Hadoopビッグデータ分析の市場規模と予測

Hadoopビッグデータ分析市場規模は、2024年に616億米ドルと評価され、2024年から2031年の予測期間中に45.36％のCAGRで成長し、2031年までに9,688億9,000万米ドルに達すると予測されます。組織のデジタルトランスフォーメーションに対する需要の高まりが、Hadoop Big Data Analyticsの市場収益上昇の重要な側面であるとともに、アナリティクスへの投資の拡大が市場成長を促進します。Hadoopビッグデータ分析の世界市場レポートは、市場の全体的な評価を提供します。主要セグメント、動向、市場促進要因、市場抑制要因、競合情勢、市場で重要な役割を果たしている要因などを包括的に分析しています。

世界のHadoopビッグデータ分析市場の定義

Hadoopはオープンソースのフレームワークであり、ビッグデータの保存と分析を可能にし、分散コンピュータクラスタ全体でシンプルなプログラミングモデルを使用します。ビッグデータとは、構造化されていないだけでなく、構造化されていることもある大量の情報のことです。このような情報は膨大な量であるため、従来のシステムでは保存や処理ができません。さらに、動向を把握し、企業レベルの意思決定をリアルタイムで支援することができます。このソリューションにより、情報は保存、分析、採掘され、最終的な目的を達成することができます。ビジネスモデルを近代化し、サービス・プロバイダーの収益を最大化するのに役立ちます。

産業界の日々の業務により、情報の量、多様性、速度を考慮すると、情報は驚異的なハイペースで蓄積されています。このような状況において、組織は、収集、保管、分析、相互リンクされた共有ダッシュボードによるレポーティングにおいて、多くの技術的な困難に直面しています。このような情報を管理するには、高品質なデータ管理システムと、適切な情報フローが必要です。企業は、膨大な情報量から得られた証拠を収集、保存、調査、画像化し、将来予測を行うために、最先端のビッグデータ解像度を必要としています。

世界のHadoopビッグデータ分析市場の概要

業界参加者が日々の業務をつぶさに観察することで、ビッグデータが生まれました。このような措置は、主にライバル企業に対する競合優位性を獲得し、その戦略をより深く洞察するために取られています。このような戦略的な市場動向は、Hadoopビッグデータ分析市場をさらに拡大すると推測されます。

業界のプレーヤーは、業界の成長と開発のための新たな機会として予測される次世代ソリューションに投資することになっています。このソリューションは、市場競争力を維持し、より優れた業界考察を得るために、さまざまな企業が導入することを目的としています。情報ストレージのための共通の統一プラットフォームに対する需要は、Hadoopビッグデータ分析市場の成長をさらに補完すると思われます。

安全性の欠如と適切なビッグデータ規制枠組みの欠如が、業界の成長を妨げると推測されます。機械語をデータウェアハウスや高度分析のための運用ソリューションに変換できる熟練した人材の不足は、8年間の増加率をさらに低下させると思われます。ビッグデータの安全性とセキュリティ・インテリジェンス・ソリューションは、予測期間中、業界参加者に十分な成長機会を提供すると推定される分野です。

企業は、優れた利点を提供する統合ソリューションを開発するための研究開発イニシアチブに多額の費用を投じています。エンドユーザー業界は、Hadoopビッグデータ分析市場において市場ポジションを維持し、競争優位性を獲得するために、ハードウェアコストを最小限に抑えるための特別な取り組みを行っています。

ネットワークの最適化、解約防止、ロケーションベースの取り組み、ソーシャルメディアとセンチメント分析、天気予報は、この市場の主要なアプリケーションです。ネットワーク最適化はリアルタイム調査に役立ち、破壊制御アプリケーションに使用できます。正確な位置と正確な情報ニーズに関連する情報サービスは、ビッグデータ分析によって可能になります。ソーシャルメディアから収集された情報は、詳細な感情分析の対象となり、関連企業に十分な成長機会を提供すると期待されています。

目次

第1章 世界のHadoopビッグデータ分析市場のイントロダクション

  • 市場概要
  • 調査範囲
  • 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

  • データマイニング
  • バリデーション
  • 一次資料
  • データソース一覧

第4章 Hadoopビッグデータ分析の世界市場展望

  • 概要
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
  • ポーターのファイブフォースモデル
  • バリューチェーン分析

第5章 Hadoopビッグデータ分析の世界市場：用途別

  • 概要
  • 顧客分析
  • モノのインターネット（IoT）
  • マーチャンダイジング＆サプライチェーン分析
  • メインフレームアプリケーションのオフロード
  • リスクと不正分析
  • その他

第6章 Hadoopビッグデータ分析の世界市場：業界別

  • 概要
  • エネルギー＆ユーティリティ
  • IT・通信
  • メディア＆エンターテインメント
  • 小売・消費財
  • 運輸・SCM
  • その他

第7章 Hadoopビッグデータ分析の世界市場：コンポーネント別

  • 概要
  • ソリューション
    • アプリケーションソフトウェア
    • マネジメントソフトウェア
    • パッケージソフトウェア
    • その他
  • サービス
    • 管理・マネージドサービス
    • コンサルティング＆開発サービス
    • その他

第8章 Hadoopビッグデータ分析の世界市場：地域別

  • 概要
  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • 日本
    • インド
    • その他アジア太平洋地域
  • 世界のその他の地域
    • ラテンアメリカ
    • 中東

第9章 世界のHadoopビッグデータ分析市場の競合情勢

  • 概要
  • 各社の市場ランキング
  • 主な発展戦略

第10章 企業プロファイル

  • 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 付録

  • 関連調査
目次
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