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市場調査レポート
商品コード
1134572

ビッグデータ市場:現状分析および予測(2021年~2027年)

Big Data Market: Current Analysis and Forecast (2021-2027)

出版日: | 発行: UnivDatos Market Insights Pvt Ltd | ページ情報: 英文 220 Pages | 納期: 即日から翌営業日

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価格
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=152.41円
ビッグデータ市場:現状分析および予測(2021年~2027年)
出版日: 2022年07月01日
発行: UnivDatos Market Insights Pvt Ltd
ページ情報: 英文 220 Pages
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

世界のビッグデータの市場規模は、予測期間中にCAGR12%で拡大すると予測されています。ビッグデータは、組織の意思決定能力を向上させるだけでなく、リアルタイムで大規模なデータセットを管理、処理、合理化するために、あらゆる組織の主要な部分となっています。政府や主要企業によるさまざまな技術プロジェクトへの投資や支出の増加は、業界の成長促進要因として機能しています。

当レポートは、世界のビッグデータ市場について調査し、市場の概要とともに、コンポーネント別、展開別、業界別、地域別の動向、および市場に参入する企業のプロファイルなどを提供しています。

目次

第1章 市場のイントロダクション

第2章 調査方法または仮定

第3章 市場要約

第4章 エグゼクティブサマリー

第5章 世界ビッグデータ市場の収益(10億米ドル)、2019年~2027年

第6章 コンポーネント別の市場洞察

  • ソリューション
  • サービス

第7章 展開別の市場洞察

  • オンプレミス
  • クラウド

第8章 業種別の市場洞察

  • BFSI
  • 小売
  • IT・通信
  • 政府
  • ヘルスケア
  • ユーティリティ
  • 製造業
  • その他

第9章 地域別の市場洞察

  • 北米
  • 欧州
  • アジア太平洋
  • その他の地域

第10章 ビッグデータ市場力学

  • 市場促進要因
  • 市場の課題
  • 影響分析

第11章 ビッグデータ市場の機会

第12章 ビッグデータ市場の動向

第13章 需要側と供給側の分析

第14章 バリューチェーン分析

第15章 競合シナリオ

  • 競合情勢
    • ポーターのファイブフォース分析

第16章 会社概要

  • Fair Isaac Corporation
  • Accenture PLC
  • Cloudera Inc.
  • Teradata Corporation
  • Microsoft Corporation
  • Splunk Inc.
  • Amazon Web Services
  • Cisco Systems Inc.
  • Hewlett Packard Enterprise Company
  • Tableau Software

第17章 免責事項

目次
Product Code: UMTI211012

The Big Data Market is expected to grow at a CAGR of 12% during the forecast period. Big data is a major part of every organization to manage, process, and streamline large data sets in real-time as well as it improves the organization's decision-making capability. Rising investments and spending on various technological projects by the government and key players is acting as a growth catalyst to the industry. Furthermore, various factors such as plummeting technology costs and the development of open-source big data software frameworks, data connectivity through hybrid and multi-cloud environments, and incorporation of digital transformation in top-level strategies are expected to drive the adoption of big data solutions and services. With the emergence of big data technology, the need to process and analyze massive data economically and faster is a crucial thing for enterprises worldwide. Moreover, the demand for big data analytics is increasing among enterprises to process data cost-effectively and at a faster speed. Organizations in all industries are harnessing the power of big data by deploying big data solutions to efficiently manage and analyze big data for actionable insights.

Insights Presented in the Report:

"Amongst component, the solution segment is expected to witness the highest CAGR during the forecast period"

Based on component, the market is segmented into solutions and services. The solutions segment is expected to hold the largest big data market. The growth is attributed to the increasing demand for big data platforms such as Microsoft azure, Cloudera, tableau, and collibra in various industry verticals.

"Amongst deployment, the cloud segment is expected to witness the highest CAGR during the forecast period"

Based on deployment, the market is segmented into on-premises and cloud. The cloud segment is expected to hold the majority of the big data market during the forecast period. The cloud enables fast and secure networks. Also cloud networks save a lot of upfront installation costs, which later can be used in other operations. Moreover, the cloud deployment model scales a solution's capacity to handle enormous network application traffic. With the adoption of these solutions, small enterprises are able to collect and analyze data, thus improving customer services. Presently, the demand for cloud-based big data solutions is increasing over their on-premises counterparts, owing to the various advantages offered by the cloud deployment model.

"Amongst industry vertical, it and telecom segment is expected to witness the highest CAGR during the forecast period"

Based on industry vertical, the market is segmented into BFSI, Retail, IT and telecom, government, healthcare, utility, manufacturing, and others. BFSI segment is expected to hold the majority of the market. The rising demand for tracking the feedback on services in real-time is driving the adoption of big data in the BFSI industry. Increasing focus to improve customer lifecycle in the BFSI industry, growing demand for early fraud detection in the BFSI industry, and rising data volume generated by the capital market due to trading and transactions are resulting in high demand for big data analytics solutions.

"Asia Pacific to witness significant growth during the forecast period"

The Asia Pacific region is expected to grow significantly during the forecast period. The growing adoption of IoT devices and development of the insurance and banking industry and penetration of new technologies like connected devices are adding to the big data market growth in the region. China and India hold the majority of the big data market in the region. The growing prowess in science and technology and government policies are expected to drive the big data market. Asia pacific. The APAC region has a noteworthy potential for big data vendors due to the large population base and early stages of IT adoption by developing countries. Australia, China, India, Singapore, and South Korea are the key leading countries in healthcare big data analytics spending. The trend of mergers and partnerships in the Asia Pacific would spur the adoption of big data technology in the healthcare sector.

Reasons to buy this report:

The study includes market sizing and forecasting analysis validated by authenticated key industry experts.

The report presents a quick review of overall industry performance at one glance.

The report covers an in-depth analysis of prominent industry peers with a primary focus on key business financials, product portfolios, expansion strategies, and recent developments.

Detailed examination of drivers, restraints, key trends, and opportunities prevailing in the industry.

The study comprehensively covers the market across different segments.

Deep dive regional level analysis of the industry.

Customization Options:

The global big data market can further be customized as per the requirement or any other market segment. Besides this, UMI understands that you may have your own business needs, hence feel free to connect with us to get a report that completely suits your requirements.

TABLE OF CONTENTS

1 MARKET INTRODUCTION

  • 1.1. Market Definitions
  • 1.2. Limitation
  • 1.3. Stakeholders
  • 1.4. Currency used in Report

2 RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the Big Data Market
  • 2.2. Research Methodology of the Big Data Market
  • 2.3. Forecasting Method
  • 2.4. Respondent Profile
  • 2.5. Main Objective of the Big Data Market Study

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 GLOBAL BIG DATA MARKET REVENUE (USD BN), 2019-2027F

6 MARKET INSIGHTS BY COMPONENT

  • 6.1. Solutions
  • 6.2. Services

7 MARKET INSIGHTS BY DEPLOYMENT

  • 7.1. On-Premises
  • 7.2. Cloud

8 MARKET INSIGHTS BY INDUSTRY VERTICAL

  • 8.1. BFSI
  • 8.2. Retail
  • 8.3. IT and Telecom
  • 8.4. Government
  • 8.5. Healthcare
  • 8.6. Utility
  • 8.7. Manufacturing
  • 8.8. Others

9 MARKET INSIGHTS BY REGION

  • 9.1. North America
    • 9.1.1. U.S.
    • 9.1.2. Canada
    • 9.1.3. Rest of north America
  • 9.2. Europe
    • 9.2.1. Germany
    • 9.2.2. U.K
    • 9.2.3. France
    • 9.2.4. Spain
    • 9.2.5. Italy
    • 9.2.6. Rest of Europe
  • 9.3. Asia-Pacific
    • 9.3.1. China
    • 9.3.2. India
    • 9.3.3. Japan
    • 9.3.4. Australia
    • 9.3.5. Rest of Asia-Pacific
  • 9.4. Rest of the World

10 BIG DATA MARKET DYNAMICS

  • 10.1. Market Drivers
  • 10.2. Market Challenges
  • 10.3. Impact Analysis

11 BIG DATA MARKET OPPORTUNITIES

12 BIG DATA MARKET TRENDS

13 DEMAND AND SUPPLY-SIDE ANALYSIS

  • 13.1. Demand Side Analysis
  • 13.2. Supply Side Analysis

14 VALUE CHAIN ANALYSIS

15 COMPETITIVE SCENARIO

  • 15.1. Competitive Landscape
    • 15.1.1. Porter's Five Forces Analysis

16 COMPANY PROFILED

  • 16.1. Fair Isaac Corporation
  • 16.2. Accenture PLC
  • 16.3. Cloudera Inc.
  • 16.4. Teradata Corporation
  • 16.5. Microsoft Corporation
  • 16.6. Splunk Inc.
  • 16.7. Amazon Web Services
  • 16.8. Cisco Systems Inc.
  • 16.9. Hewlett Packard Enterprise Company
  • 16.10. Tableau Software

17 DISCLAIMER