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市場調査レポート
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1390597

データウェアハウスの市場レポート：提供、データタイプ、展開モデル、企業規模、エンドユーザー、地域別、2023年～2028年

Data Warehousing Market Report by Offering, Data Type, Deployment Model, Enterprise Size, End User, and Region 2023-2028
出版日: | 発行: IMARC | ページ情報: 英文 147 Pages | 納期: 2～3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=156.76円
データウェアハウスの市場レポート：提供、データタイプ、展開モデル、企業規模、エンドユーザー、地域別、2023年～2028年
出版日: 2023年11月24日
発行: IMARC
ページ情報: 英文 147 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

概要

世界のデータウェアハウス市場規模は、2022年に287億米ドルに達しました。今後、IMARC Groupは、2022年から2028年の間に10.31%の成長率（CAGR）を示し、2028年までに517億米ドルに達すると予測しています。

データウェアハウスは、構造化、半構造化、非構造化データを電子的に保存、分析、報告するプロセスです。販売時点情報管理（POS）トランザクション、マーケティング・システム、顧客関係管理（CRM）ソリューションなど、さまざまなソースからの情報を記録します。長期的な洞察とビジネスインテリジェンス（BI）を提供するために、一元化されたリポジトリに履歴と現在のデータを記録することができます。一般的に使用されるデータウェアハウス・ソリューションには、エンタープライズ・データウェアハウス（EDW）、オペレーショナル・データストア、データマートなどがあります。これらのソリューションは、オンプレミス、クラウド、またはハイブリッド環境で展開することができ、一貫性を確保するためのデータの抽出と分析、インデックスの作成、集計、ソースデータの変換と結合に使用されるロード、ウェアハウス、クエリーマネージャーで構成されています。

データウェアハウス市場の動向：

世界中の組織で生成されるデータ量の増加とともに、次世代BIソリューションに対する需要が高まっていることが、市場成長を促進する主な要因の1つです。さらに、低レイテンシでリアルタイムなデータ分析を行うための専用ストレージシステムに対する要求が高まっていることも、市場の成長を後押ししています。これに伴い、仮想データウェアハウスの新たな動向も市場の成長に寄与しています。仮想データウェアハウスは、データ在庫とメタデータの凝縮されたビューを提供し、ミドルウェアを利用してさまざまな情報ソースへの接続を形成し、物理データの複製を防止します。さらに、データウェアハウスと人工知能（AI）や機械学習（ML）ソリューションとの統合など、さまざまな技術的進歩も成長を促す要因となっています。これらの革新的なソリューションは、ユーザーの要求に応じてデータを自動的に最適化・変換し、予測的な洞察を抽出します。その他の要因としては、情報技術（IT）インフラの大幅な改善、広範な研究開発（R&D）活動などが挙げられ、市場の成長を後押しすると予想されます。

本レポートで扱う主な質問

  • 2022年のデータウェアハウスの世界市場規模は？
  • 2023年～2028年のデータウェアハウス世界市場の予想成長率は？
  • COVID-19がデータウェアハウスの世界市場に与えた影響は？
  • データウェアハウスの世界市場を牽引する主要因は？
  • 提供別のデータウェアハウスの世界市場の内訳は？
  • データタイプ別のデータウェアハウスの世界市場の内訳は？
  • 展開モデル別のデータウェアハウスの世界市場の内訳は？
  • 企業規模別のデータウェアハウスの世界市場内訳は？
  • エンドユーザー別のデータウェアハウスの世界市場の内訳は？
  • データウェアハウスの世界市場における主要地域は？
  • データウェアハウスの世界市場における主要プレーヤー/企業は？

目次

第1章 序文

第2章 調査範囲と調査手法

  • 調査目的
  • 利害関係者
  • データソース
    • 一次情報
    • 二次情報
  • 市場推定
    • ボトムアップアプローチ
    • トップダウンアプローチ
  • 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

  • 概要
  • 主要業界動向

第5章 データウェアハウスの世界市場

  • 市場概要
  • 市場実績
  • COVID-19の影響
  • 市場予測

第6章 市場内訳：提供別

  • ETLソリューション
    • 市場動向
    • 市場予測
  • 統計分析
    • 市場動向
    • 市場予測
  • データマイニング
    • 市場動向
    • 市場予測
  • その他
    • 市場動向
    • 市場予測

第7章 市場内訳：データタイプ別

  • 非構造化データ
    • 市場動向
    • 市場予測
  • 半構造化・構造化データ
    • 市場動向
    • 市場予測

第8章 市場内訳：展開モデル別

  • オンプレミス
    • 市場動向
    • 市場予測
  • クラウド型
    • 市場動向
    • 市場予測
  • ハイブリッド
    • 市場動向
    • 市場予測

第9章 市場内訳：企業規模別

  • 大企業
    • 市場動向
    • 市場予測
  • 中小企業
    • 市場動向
    • 市場予測

第10章 市場内訳：エンドユーザー別

  • BFSI
    • 市場動向
    • 市場予測
  • IT・テレコム
    • 市場動向
    • 市場予測
  • 政府機関
    • 市場動向
    • 市場予測
  • 製造業
    • 市場動向
    • 市場予測
  • 小売
    • 市場動向
    • 市場予測
  • ヘルスケア
    • 市場動向
    • 市場予測
  • メディア・エンターテイメント
    • 市場動向
    • 市場予測
  • その他
    • 市場動向
    • 市場予測

第11章 市場内訳：地域別

  • 北米
    • 米国
      • 市場動向
      • 市場予測
    • カナダ
      • 市場動向
      • 市場予測
  • アジア太平洋
    • 中国
      • 市場動向
      • 市場予測
    • 日本
      • 市場動向
      • 市場予測
    • インド
      • 市場動向
      • 市場予測
    • 韓国
      • 市場動向
      • 市場予測
    • オーストラリア
      • 市場動向
      • 市場予測
    • インドネシア
      • 市場動向
      • 市場予測
    • その他
      • 市場動向
      • 市場予測
  • 欧州
    • ドイツ
      • 市場動向
      • 市場予測
    • フランス
      • 市場動向
      • 市場予測
    • 英国
      • 市場動向
      • 市場予測
    • イタリア
      • 市場動向
      • 市場予測
    • スペイン
      • 市場動向
      • 市場予測
    • ロシア
      • 市場動向
      • 市場予測
    • その他
      • 市場動向
      • 市場予測
  • ラテンアメリカ
    • ブラジル
      • 市場動向
      • 市場予測
    • メキシコ
      • 市場動向
      • 市場予測
    • その他
      • 市場動向
      • 市場予測
  • 中東・アフリカ
    • 市場動向
    • 市場内訳：国別
    • 市場予測

第12章 SWOT分析

  • 概要
  • 強み
  • 弱み
  • 機会
  • 脅威

第13章 バリューチェーン分析

第14章 ポーターのファイブフォース分析

  • 概要
  • 買い手の交渉力
  • 供給企業の交渉力
  • 競合の程度
  • 新規参入業者の脅威
  • 代替品の脅威

第15章 価格分析

第16章 競合情勢

  • 市場構造
  • 主要企業
  • 主要企業のプロファイル
    • Actian Corporation（HCL Technologies Limited）
    • Amazon Web Services Inc.（Amazon.com Inc）
    • Cloudera Inc.
    • Dell Technologies Inc.
    • Google LLC（Alphabet Inc.）
    • Hewlett Packard Enterprise Development LP
    • International Business Machines Corporation
    • Microsoft Corporation
    • Oracle Corporation
    • SAP SE
    • Snowflake Inc
    • Teradata Corporation
図表

List of Figures

  • Figure 1: Global: Data Warehousing Market: Major Drivers and Challenges
  • Figure 2: Global: Data Warehousing Market: Sales Value (in Billion US$), 2017-2022
  • Figure 3: Global: Data Warehousing Market Forecast: Sales Value (in Billion US$), 2023-2028
  • Figure 4: Global: Data Warehousing Market: Breakup by Offering (in %), 2022
  • Figure 5: Global: Data Warehousing Market: Breakup by Data Type (in %), 2022
  • Figure 6: Global: Data Warehousing Market: Breakup by Deployment Model (in %), 2022
  • Figure 7: Global: Data Warehousing Market: Breakup by Enterprise Size (in %), 2022
  • Figure 8: Global: Data Warehousing Market: Breakup by End User (in %), 2022
  • Figure 9: Global: Data Warehousing Market: Breakup by Region (in %), 2022
  • Figure 10: Global: Data Warehousing (ETL Solutions) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 11: Global: Data Warehousing (ETL Solutions) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 12: Global: Data Warehousing (Statistical Analysis) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 13: Global: Data Warehousing (Statistical Analysis) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 14: Global: Data Warehousing (Data Mining) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 15: Global: Data Warehousing (Data Mining) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 16: Global: Data Warehousing (Other Offerings) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 17: Global: Data Warehousing (Other Offerings) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 18: Global: Data Warehousing (Unstructured Data) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 19: Global: Data Warehousing (Unstructured Data) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 20: Global: Data Warehousing (Semi-Structured and Structured Data) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 21: Global: Data Warehousing (Semi-Structured and Structured Data) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 22: Global: Data Warehousing (On-premises) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 23: Global: Data Warehousing (On-premises) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 24: Global: Data Warehousing (Cloud-based) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 25: Global: Data Warehousing (Cloud-based) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 26: Global: Data Warehousing (Hybrid) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 27: Global: Data Warehousing (Hybrid) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 28: Global: Data Warehousing (Large Enterprises) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 29: Global: Data Warehousing (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 30: Global: Data Warehousing (Small and Medium-sized Enterprises) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 31: Global: Data Warehousing (Small and Medium-sized Enterprises) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 32: Global: Data Warehousing (BFSI) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 33: Global: Data Warehousing (BFSI) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 34: Global: Data Warehousing (IT and Telecom) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 35: Global: Data Warehousing (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 36: Global: Data Warehousing (Government) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 37: Global: Data Warehousing (Government) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 38: Global: Data Warehousing (Manufacturing) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 39: Global: Data Warehousing (Manufacturing) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 40: Global: Data Warehousing (Retail) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 41: Global: Data Warehousing (Retail) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 42: Global: Data Warehousing (Healthcare) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 43: Global: Data Warehousing (Healthcare) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 44: Global: Data Warehousing (Media and Entertainment) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 45: Global: Data Warehousing (Media and Entertainment) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 46: Global: Data Warehousing (Other End Users) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 47: Global: Data Warehousing (Other End Users) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 48: North America: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 49: North America: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 50: United States: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 51: United States: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 52: Canada: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 53: Canada: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 54: Asia-Pacific: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 55: Asia-Pacific: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 56: China: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 57: China: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 58: Japan: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 59: Japan: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 60: India: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 61: India: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 62: South Korea: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 63: South Korea: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 64: Australia: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 65: Australia: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 66: Indonesia: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 67: Indonesia: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 68: Others: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 69: Others: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 70: Europe: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 71: Europe: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 72: Germany: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 73: Germany: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 74: France: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 75: France: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 76: United Kingdom: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 77: United Kingdom: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 78: Italy: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 79: Italy: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 80: Spain: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 81: Spain: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 82: Russia: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 83: Russia: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 84: Others: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 85: Others: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 86: Latin America: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 87: Latin America: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 88: Brazil: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 89: Brazil: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 90: Mexico: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 91: Mexico: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 92: Others: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 93: Others: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 94: Middle East and Africa: Data Warehousing Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 95: Middle East and Africa: Data Warehousing Market: Breakup by Country (in %), 2022
  • Figure 96: Middle East and Africa: Data Warehousing Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 97: Global: Data Warehousing Industry: SWOT Analysis
  • Figure 98: Global: Data Warehousing Industry: Value Chain Analysis
  • Figure 99: Global: Data Warehousing Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Data Warehousing Market: Key Industry Highlights, 2022 and 2028
  • Table 2: Global: Data Warehousing Market Forecast: Breakup by Offering (in Million US$), 2023-2028
  • Table 3: Global: Data Warehousing Market Forecast: Breakup by Data Type (in Million US$), 2023-2028
  • Table 4: Global: Data Warehousing Market Forecast: Breakup by Deployment Model (in Million US$), 2023-2028
  • Table 5: Global: Data Warehousing Market Forecast: Breakup by Enterprise Size (in Million US$), 2023-2028
  • Table 6: Global: Data Warehousing Market Forecast: Breakup by End User (in Million US$), 2023-2028
  • Table 7: Global: Data Warehousing Market Forecast: Breakup by Region (in Million US$), 2023-2028
  • Table 8: Global: Data Warehousing Market: Competitive Structure
  • Table 9: Global: Data Warehousing Market: Key Players
目次
Product Code: SR112023A4389

Abstract

The global data warehousing market size reached US$ 28.7 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 51.7 Billion by 2028, exhibiting a growth rate (CAGR) of 10.31% during 2022-2028.

Data warehousing is the process of electronically storing, analysis and reporting structured, semi-structured and unstructured data. It records information from various sources, such as point-of-sale (POS) transactions, marketing systems and customer relationship management (CRM) solutions. It can record historical and current data in a centralized repository to provide long-term insights and business intelligence (BI). Some commonly used data warehousing solutions include enterprise data warehouse (EDW), operational data store and data mart. They can be deployed on-premises, cloud or in hybrid environments and consist of load, warehouse and query managers used for extracting and analysis of data to ensure consistency, creation of indexes, aggregates and transformation and merging of source data.

Data Warehousing Market Trends:

The rising demand for next generation BI solutions, along with the increasing amount of data generated by organizations across the globe, is one of the key factors driving the market growth. Moreover, the increasing requirement for dedicated storage systems to perform enhanced data analytics with low latency and the real-time view is providing a thrust to the market growth. In line with this, the emerging trend of virtual data warehousing is also contributing to the growth of the market. It offers a condensed view of the data inventory and metadata and utilizes middleware to form connections to different information sources and prevent replication of physical data. Additionally, various technological advancements, such as the integration of data warehouses with artificial intelligence (AI) and machine learning (ML) solutions, are acting as other growth-inducing factors. These innovative solutions automatically optimize and transform data according to user requirements and extract predictive insights. Other factors, including significant improvements in the information technology (IT) infrastructure, along with extensive research and development (R&D) activities, are anticipated to drive the market toward growth.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global data warehousing market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on offering, data type, deployment model, enterprise size and end user.

Breakup by Offering:

ETL Solutions

Statistical Analysis

Data Mining

Others

Breakup by Data Type:

Unstructured Data

Semi-Structured and Structured Data

Breakup by Deployment Model:

On-premises

Cloud-based

Hybrid

Breakup by Enterprise Size:

Large Enterprises

Small and Medium-sized Enterprises

Breakup by End User:

BFSI

IT and Telecom

Government

Manufacturing

Retail

Healthcare

Media and Entertainment

Others

Breakup by Region:

North America

United States

Canada

Asia-Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being Actian Corporation (HCL Technologies Limited), Amazon Web Services Inc. (Amazon.com Inc), Cloudera Inc., Dell Technologies Inc., Google LLC (Alphabet Inc.), Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, Snowflake Inc and Teradata Corporation.

Key Questions Answered in This Report

  • 1. What was the size of the global data warehousing market in 2022?
  • 2. What is the expected growth rate of the global data warehousing market during 2023-2028?
  • 3. What has been the impact of COVID-19 on the global data warehousing market?
  • 4. What are the key factors driving the global data warehousing market?
  • 5. What is the breakup of the global data warehousing market based on the offering?
  • 6. What is the breakup of the global data warehousing market based on the data type?
  • 7. What is the breakup of the global data warehousing market based on deployment model?
  • 8. What is the breakup of the global data warehousing market based on the enterprise size?
  • 9. What is the breakup of the global data warehousing market based on the end user?
  • 10. What are the key regions in the global data warehousing market?
  • 11. Who are the key players/companies in the global data warehousing market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Data Warehousing Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Offering

  • 6.1 ETL Solutions
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Statistical Analysis
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Data Mining
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast
  • 6.4 Others
    • 6.4.1 Market Trends
    • 6.4.2 Market Forecast

7 Market Breakup by Data Type

  • 7.1 Unstructured Data
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Semi-Structured and Structured Data
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Deployment Model

  • 8.1 On-premises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Cloud-based
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Hybrid
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast

9 Market Breakup by Enterprise Size

  • 9.1 Large Enterprises
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Small and Medium-sized Enterprises
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast

10 Market Breakup by End User

  • 10.1 BFSI
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 IT and Telecom
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast
  • 10.3 Government
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast
  • 10.4 Manufacturing
    • 10.4.1 Market Trends
    • 10.4.2 Market Forecast
  • 10.5 Retail
    • 10.5.1 Market Trends
    • 10.5.2 Market Forecast
  • 10.6 Healthcare
    • 10.6.1 Market Trends
    • 10.6.2 Market Forecast
  • 10.7 Media and Entertainment
    • 10.7.1 Market Trends
    • 10.7.2 Market Forecast
  • 10.8 Others
    • 10.8.1 Market Trends
    • 10.8.2 Market Forecast

11 Market Breakup by Region

  • 11.1 North America
    • 11.1.1 United States
      • 11.1.1.1 Market Trends
      • 11.1.1.2 Market Forecast
    • 11.1.2 Canada
      • 11.1.2.1 Market Trends
      • 11.1.2.2 Market Forecast
  • 11.2 Asia-Pacific
    • 11.2.1 China
      • 11.2.1.1 Market Trends
      • 11.2.1.2 Market Forecast
    • 11.2.2 Japan
      • 11.2.2.1 Market Trends
      • 11.2.2.2 Market Forecast
    • 11.2.3 India
      • 11.2.3.1 Market Trends
      • 11.2.3.2 Market Forecast
    • 11.2.4 South Korea
      • 11.2.4.1 Market Trends
      • 11.2.4.2 Market Forecast
    • 11.2.5 Australia
      • 11.2.5.1 Market Trends
      • 11.2.5.2 Market Forecast
    • 11.2.6 Indonesia
      • 11.2.6.1 Market Trends
      • 11.2.6.2 Market Forecast
    • 11.2.7 Others
      • 11.2.7.1 Market Trends
      • 11.2.7.2 Market Forecast
  • 11.3 Europe
    • 11.3.1 Germany
      • 11.3.1.1 Market Trends
      • 11.3.1.2 Market Forecast
    • 11.3.2 France
      • 11.3.2.1 Market Trends
      • 11.3.2.2 Market Forecast
    • 11.3.3 United Kingdom
      • 11.3.3.1 Market Trends
      • 11.3.3.2 Market Forecast
    • 11.3.4 Italy
      • 11.3.4.1 Market Trends
      • 11.3.4.2 Market Forecast
    • 11.3.5 Spain
      • 11.3.5.1 Market Trends
      • 11.3.5.2 Market Forecast
    • 11.3.6 Russia
      • 11.3.6.1 Market Trends
      • 11.3.6.2 Market Forecast
    • 11.3.7 Others
      • 11.3.7.1 Market Trends
      • 11.3.7.2 Market Forecast
  • 11.4 Latin America
    • 11.4.1 Brazil
      • 11.4.1.1 Market Trends
      • 11.4.1.2 Market Forecast
    • 11.4.2 Mexico
      • 11.4.2.1 Market Trends
      • 11.4.2.2 Market Forecast
    • 11.4.3 Others
      • 11.4.3.1 Market Trends
      • 11.4.3.2 Market Forecast
  • 11.5 Middle East and Africa
    • 11.5.1 Market Trends
    • 11.5.2 Market Breakup by Country
    • 11.5.3 Market Forecast

12 SWOT Analysis

  • 12.1 Overview
  • 12.2 Strengths
  • 12.3 Weaknesses
  • 12.4 Opportunities
  • 12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

  • 14.1 Overview
  • 14.2 Bargaining Power of Buyers
  • 14.3 Bargaining Power of Suppliers
  • 14.4 Degree of Competition
  • 14.5 Threat of New Entrants
  • 14.6 Threat of Substitutes

15 Price Analysis

16 Competitive Landscape

  • 16.1 Market Structure
  • 16.2 Key Players
  • 16.3 Profiles of Key Players
    • 16.3.1 Actian Corporation (HCL Technologies Limited)
      • 16.3.1.1 Company Overview
      • 16.3.1.2 Product Portfolio
    • 16.3.2 Amazon Web Services Inc. (Amazon.com Inc)
      • 16.3.2.1 Company Overview
      • 16.3.2.2 Product Portfolio
      • 16.3.2.3 SWOT Analysis
    • 16.3.3 Cloudera Inc.
      • 16.3.3.1 Company Overview
      • 16.3.3.2 Product Portfolio
      • 16.3.3.3 Financials
    • 16.3.4 Dell Technologies Inc.
      • 16.3.4.1 Company Overview
      • 16.3.4.2 Product Portfolio
      • 16.3.4.3 Financials
      • 16.3.4.4 SWOT Analysis
    • 16.3.5 Google LLC (Alphabet Inc.)
      • 16.3.5.1 Company Overview
      • 16.3.5.2 Product Portfolio
      • 16.3.5.3 SWOT Analysis
    • 16.3.6 Hewlett Packard Enterprise Development LP
      • 16.3.6.1 Company Overview
      • 16.3.6.2 Product Portfolio
      • 16.3.6.3 Financials
      • 16.3.6.4 SWOT Analysis
    • 16.3.7 International Business Machines Corporation
      • 16.3.7.1 Company Overview
      • 16.3.7.2 Product Portfolio
      • 16.3.7.3 Financials
      • 16.3.7.4 SWOT Analysis
    • 16.3.8 Microsoft Corporation
      • 16.3.8.1 Company Overview
      • 16.3.8.2 Product Portfolio
      • 16.3.8.3 Financials
      • 16.3.8.4 SWOT Analysis
    • 16.3.9 Oracle Corporation
      • 16.3.9.1 Company Overview
      • 16.3.9.2 Product Portfolio
      • 16.3.9.3 Financials
      • 16.3.9.4 SWOT Analysis
    • 16.3.10 SAP SE
      • 16.3.10.1 Company Overview
      • 16.3.10.2 Product Portfolio
      • 16.3.10.3 Financials
      • 16.3.10.4 SWOT Analysis
    • 16.3.11 Snowflake Inc
      • 16.3.11.1 Company Overview
      • 16.3.11.2 Product Portfolio
      • 16.3.11.3 Financials
    • 16.3.12 Teradata Corporation
      • 16.3.12.1 Company Overview
      • 16.3.12.2 Product Portfolio
      • 16.3.12.3 Financials
      • 16.3.12.4 SWOT Analysis