首頁 > 市場調查報告書 > 通訊

市場調查報告書

商品編碼

1624498

全球 Hadoop 大數據分析市場規模（按應用程式、垂直產業、元件、地區、範圍和預測）

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

出版日期: 2024年10月06日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

Hadoop 大數據分析市場規模及預測

2024 年，Hadoop 大數據分析市場規模價值為 616 億美元，預計在預測期內（2024-2031 年）的複合年增長率為 45.36%，到 2031 年將達到 9688.9 億美元。那。企業對數位轉型的需求不斷增長是推動 Hadoop 大數據分析市場收入成長的關鍵因素，而對分析的投資不斷增加將推動市場成長。全球 Hadoop 大數據分析市場報告對市場進行了全面評估。它對關鍵細分市場、趨勢、市場推動因素、市場阻礙因素、競爭格局以及在市場中發揮關鍵作用的因素進行了全面的分析。

全球 Hadoop 大數據分析市場的定義

Hadoop 是一個開源框架，它使用跨分散式電腦叢集的簡單程式設計模型來實現大數據的儲存和分析。大數據是指大量可以結構化也可以非結構化的資訊。資訊量如此龐大，傳統系統無法儲存和處理。此外，它還可以提供趨勢洞察並即時支援企業級決策。透過此解決方案，可以對資訊進行儲存、分析和挖掘，以實現其最終目標。它有助於實現商業模式的現代化，並實現服務提供者的收入最大化。

由於工業日常運作產生的資訊量大、種類多、速度快，資訊正以驚人的速度累積。在這種背景下，組織在透過相互連結的共享儀表板收集、儲存、分析和報告方面面臨許多技術課題。管理這些資訊需要高品質的資料管理系統和適當的資訊流。公司需要尖端的大數據解決方案來從海量資訊中收集、保存、調查、想像和預測證據。

全球 Hadoop 大數據分析市場概況

大數據誕生於對產業參與者日常營運的密切觀察。採取這些措施主要是為了獲得相對於競爭對手的競爭優勢並更深入地瞭解他們的策略。此類策略市場趨勢預計將進一步擴大Hadoop大數據分析市場。

產業參與者將投資下一代解決方案，這被視為產業成長和發展的新機會。該解決方案旨在被各種企業採用，以保持市場競爭力並獲得更好的行業洞察力。對通用統一資訊儲存平台的需求預計將進一步促進 Hadoop 大數據分析市場的成長。

據推測，缺乏安全性和缺乏適當的大數據監管框架會阻礙該行業的發展。缺乏能夠將機器代碼轉化為資料倉儲和高級分析的操作解決方案的熟練人才，可能會進一步減緩八年的成長率。據估計，大數據安全和安全情報解決方案將在預測期內為產業參與者提供充足的成長機會。

公司正在大力投資研發計劃，以開發能夠提供卓越優勢的整合解決方案。終端用戶產業正在特別努力降低硬體成本，以保持其市場地位並在 Hadoop 大數據分析市場中獲得競爭優勢。

網路優化、客戶流失預防、基於位置的參與、社交媒體和情緒分析以及天氣預報是該市場的主要應用。網路最佳化對於即時調查很有用，並且可用於破壞控制應用。透過大數據分析，可以實現精準位置、精準資訊需求相關的資訊服務。從社群媒體收集的資訊將接受深入的情緒分析，預計將為相關業務提供充足的成長機會。

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.

What's inside a VMR industry report?

Our reports include actionable data and forward-looking analysis that help you craft pitches, create business plans, build presentations and write proposals.

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.

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