 | • レポートコード：MRC2103C191 • 出版社/出版日：Mordor Intelligence / 2021年2月27日 • レポート形態：英文、PDF、142ページ • 納品方法：Eメール（受注後2-3営業日） • 産業分類：情報・通信技術 |
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レポート概要
| 本調査資料では、世界のHadoopビッグデータ分析装置市場について調査し、イントロダクション、調査手法、エグゼクティブサマリー、市場動向、ソリューション別（データディスカバリ・ビジュアライゼーション（DDV）、アドバンスドアナリティクス（AA））分析、エンドユーザー別（金融、小売、IT・通信、医療、ライフサイエンス、製造、メディア・エンターテインメント、その他）分析、地域別分析、競争状況、投資分析、市場機会/将来の見通しなどを掲載しています。 ・イントロダクション ・調査手法 ・エグゼクティブサマリー ・市場動向 ・世界のHadoopビッグデータ分析装置市場規模：ソリューション別（データディスカバリ・ビジュアライゼーション（DDV）、アドバンスドアナリティクス（AA）） ・世界のHadoopビッグデータ分析装置市場規模：エンドユーザー別（金融、小売、IT・通信、医療、ライフサイエンス、製造、メディア・エンターテインメント、その他） ・世界のHadoopビッグデータ分析装置市場規模：地域別 ・競争状況 ・投資分析 ・市場機会/将来の見通し |
The Hadoop Big Data Analytics Market is expected to register a CAGR of 29.7% over the forecast period 2021 – 2026.
– 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.
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
– 3 months of analyst support
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 Solution
5.1.1 Data Discovery and Visualization (DDV)
5.1.2 Advanced Analytics (AA)
5.2 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
5.3.1.1 US
5.3.1.2 Canada
5.3.2 Europe
5.3.2.1 UK
5.3.2.2 Germany
5.3.2.3 Rest of Europe
5.3.3 Asia-Pacific
5.3.3.1 China
5.3.3.2 Japan
5.3.3.3 Rest of 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