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市場調査レポート
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1390741

データレイク市場:世界の産業動向、シェア、規模、成長、機会、2023-2028年予測

Data Lakes Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028

出版日: | 発行: IMARC | ページ情報: 英文 139 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
データレイク市場:世界の産業動向、シェア、規模、成長、機会、2023-2028年予測
出版日: 2023年11月24日
発行: IMARC
ページ情報: 英文 139 Pages
納期: 2~3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

概要

世界のデータレイク市場規模は2022年に95億米ドルに達しました。今後、IMARC Groupは、2022年から2028年にかけて25.88%の成長率(CAGR)を示し、2028年までに378億米ドルに達すると予測しています。

データレイクは、モバイルアプリ、モノのインターネット(IoT)デバイス、ソーシャルメディア、ビジネスアプリケーションからの構造化データおよび非構造化データを格納する一元化されたソフトウェアリポジトリです。ダッシュボード、可視化、ビッグデータ処理、構造化クエリー言語(SQL)クエリー、全文検索を含む機械学習(ML)と高度なリアルタイム分析のフレームワークを共同環境で提供し、洞察を明らかにします。これに加えて、運用ストアやデータウェアハウスとシームレスに統合することで、多様なクエリ機能や、新しい情報モデルを発見するためのデータサイエンスの使用事例を実現することができます。

データレイクの市場動向:

ビジネスの世界展開とテクノロジーのコアプロセスへの統合により、企業は現在、大量のデジタルデータの管理に関する無数の課題に直面しています。これは、さまざまなソースからの大量の多様なデータを比較的短時間で整理するデータレイクの必要性を高める主な要因の1つとなっています。データレイクはまた、ビジネスの急成長機会の特定、顧客の獲得と維持、生産性の向上、デバイスの積極的な保守、情報別の意思決定にも役立ちます。これとは別に、急性および慢性疾患の蔓延が拡大しているため、世界中の保健機関は、世界の健康ニーズに対応するための研究開発(R&D)への投資を増やしています。データレイクは製品の設計やゲノム研究を支援し、より迅速なパフォーマンスと効果的な医薬品開発を実現するため、世界中のヘルスケア業界におけるデータレイクの活用にプラスの影響を与えています。さらに、データレイクは顧客関係管理(CRM)プラットフォームからの顧客データとソーシャルメディア分析を組み合わせることができ、その結果、顧客との交流やロイヤルティを向上させることができます。その結果、運用コストの削減と製品品質の向上を実現するため、製造装置での普及が進んでおり、市場の見通しは明るいと予想されます。

本レポートで扱う主な質問

  • 世界のデータレイク市場はこれまでどのように推移し、今後数年間はどのように推移するのか?
  • COVID-19が世界のデータレイク市場に与えた影響は?
  • 主要な地域市場は?
  • コンポーネント別の市場内訳は?
  • 展開モード別の市場内訳は?
  • 組織規模別の市場内訳は?
  • ビジネス機能別の市場内訳は?
  • 最終用途産業別の市場内訳は?
  • 業界のバリューチェーンにおける様々な段階とは?
  • 業界の主要な促進要因と課題は何か?
  • 世界のデータレイク市場の構造と主要プレーヤーは?
  • 業界の競合の程度は?

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
  • 主な業界動向

第5章 世界のデータレイク市場

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

第6章 市場内訳:コンポーネント別

  • ソリューション
    • 市場動向
    • 主要セグメント
      • データディスカバリー
      • データ統合と管理
      • データレイク分析
      • データ可視化
    • 市場予測
  • サービス
    • 市場動向
    • 主要セグメント
      • マネージドサービス
      • プロフェッショナルサービス
    • 市場予測

第7章 市場内訳:展開モード別

  • オンプレミス
    • 市場動向
    • 市場予測
  • クラウドベース
    • 市場動向
    • 市場予測

第8章 市場内訳:組織規模別

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

第9章 市場内訳:ビジネス機能別

  • マーケティング
    • 市場動向
    • 市場予測
  • 販売
    • 市場動向
    • 市場予測
  • オペレーション
    • 市場動向
    • 市場予測
  • ファイナンス
    • 市場動向
    • 市場予測
  • 人的資源
    • 市場動向
    • 市場予測

第10章 市場内訳:最終用途産業別

  • BFSI
    • 市場動向
    • 市場予測
  • IT・通信
    • 市場動向
    • 市場予測
  • 小売とeコマース
    • 市場動向
    • 市場予測
  • ヘルスケアとライフサイエンス
    • 市場動向
    • 市場予測
  • 製造業
    • 市場動向
    • 市場予測
  • エネルギーとユーティリティ
    • 市場動向
    • 市場予測
  • メディアとエンターテイメント
    • 市場動向
    • 市場予測
  • 政府機関
    • 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・アフリカ地域
    • 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
    • Amazon Web Services Inc.(Amazon.com Inc)
    • Atos SE
    • Capgemini
    • Cloudera Inc.
    • Dell Technologies Inc.
    • Google LLC(Alphabet Inc.)
    • Hewlett Packard Enterprise Development LP
    • International Business Machines Corporation
    • Microsoft Corporation
    • Oracle Corporation
    • SAP SE
    • SAS Institute Inc.
    • Snowflake Inc.
    • Tata Consultancy Services Limited
    • Teradata Corporation
図表

List of Figures

  • Figure 1: Global: Data Lakes Market: Major Drivers and Challenges
  • Figure 2: Global: Data Lakes Market: Sales Value (in Billion US$), 2017-2022
  • Figure 3: Global: Data Lakes Market Forecast: Sales Value (in Billion US$), 2023-2028
  • Figure 4: Global: Data Lakes Market: Breakup by Component (in %), 2022
  • Figure 5: Global: Data Lakes Market: Breakup by Deployment Mode (in %), 2022
  • Figure 6: Global: Data Lakes Market: Breakup by Organization Size (in %), 2022
  • Figure 7: Global: Data Lakes Market: Breakup by Business Function (in %), 2022
  • Figure 8: Global: Data Lakes Market: Breakup by End Use Industry (in %), 2022
  • Figure 9: Global: Data Lakes Market: Breakup by Region (in %), 2022
  • Figure 10: Global: Data Lakes (Solutions) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 11: Global: Data Lakes (Solutions) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 12: Global: Data Lakes (Services) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 13: Global: Data Lakes (Services) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 14: Global: Data Lakes (On-premises) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 15: Global: Data Lakes (On-premises) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 16: Global: Data Lakes (Cloud-based) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 17: Global: Data Lakes (Cloud-based) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 18: Global: Data Lakes (Small and Medium-sized Enterprises) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 19: Global: Data Lakes (Small and Medium-sized Enterprises) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 20: Global: Data Lakes (Large Enterprises) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 21: Global: Data Lakes (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 22: Global: Data Lakes (Marketing) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 23: Global: Data Lakes (Marketing) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 24: Global: Data Lakes (Sales) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 25: Global: Data Lakes (Sales) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 26: Global: Data Lakes (Operations) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 27: Global: Data Lakes (Operations) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 28: Global: Data Lakes (Finance) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 29: Global: Data Lakes (Finance) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 30: Global: Data Lakes (Human Resources) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 31: Global: Data Lakes (Human Resources) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 32: Global: Data Lakes (BFSI) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 33: Global: Data Lakes (BFSI) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 34: Global: Data Lakes (IT and Telecom) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 35: Global: Data Lakes (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 36: Global: Data Lakes (Retail and E-Commerce) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 37: Global: Data Lakes (Retail and E-Commerce) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 38: Global: Data Lakes (Healthcare and Life Sciences) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 39: Global: Data Lakes (Healthcare and Life Sciences) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 40: Global: Data Lakes (Manufacturing) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 41: Global: Data Lakes (Manufacturing) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 42: Global: Data Lakes (Energy and Utilities) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 43: Global: Data Lakes (Energy and Utilities) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 44: Global: Data Lakes (Media and Entertainment) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 45: Global: Data Lakes (Media and Entertainment) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 46: Global: Data Lakes (Government) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 47: Global: Data Lakes (Government) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 48: Global: Data Lakes (Other End Use Industries) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 49: Global: Data Lakes (Other End Use Industries) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 50: North America: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 51: North America: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 52: United States: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 53: United States: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 54: Canada: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 55: Canada: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 56: Asia-Pacific: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 57: Asia-Pacific: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 58: China: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 59: China: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 60: Japan: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 61: Japan: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 62: India: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 63: India: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 64: South Korea: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 65: South Korea: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 66: Australia: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 67: Australia: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 68: Indonesia: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 69: Indonesia: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 70: Others: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 71: Others: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 72: Europe: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 73: Europe: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 74: Germany: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 75: Germany: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 76: France: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 77: France: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 78: United Kingdom: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 79: United Kingdom: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 80: Italy: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 81: Italy: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 82: Spain: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 83: Spain: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 84: Russia: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 85: Russia: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 86: Others: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 87: Others: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 88: Latin America: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 89: Latin America: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 90: Brazil: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 91: Brazil: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 92: Mexico: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 93: Mexico: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 94: Others: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 95: Others: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 96: Middle East and Africa: Data Lakes Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 97: Middle East and Africa: Data Lakes Market: Breakup by Country (in %), 2022
  • Figure 98: Middle East and Africa: Data Lakes Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 99: Global: Data Lakes Industry: SWOT Analysis
  • Figure 100: Global: Data Lakes Industry: Value Chain Analysis
  • Figure 101: Global: Data Lakes Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Data Lakes Market: Key Industry Highlights, 2022 and 2028
  • Table 2: Global: Data Lakes Market Forecast: Breakup by Component (in Million US$), 2023-2028
  • Table 3: Global: Data Lakes Market Forecast: Breakup by Deployment Mode (in Million US$), 2023-2028
  • Table 4: Global: Data Lakes Market Forecast: Breakup by Organization Size (in Million US$), 2023-2028
  • Table 5: Global: Data Lakes Market Forecast: Breakup by Business Function (in Million US$), 2023-2028
  • Table 6: Global: Data Lakes Market Forecast: Breakup by End Use Industry (in Million US$), 2023-2028
  • Table 7: Global: Data Lakes Market Forecast: Breakup by Region (in Million US$), 2023-2028
  • Table 8: Global: Data Lakes Market: Competitive Structure
  • Table 9: Global: Data Lakes Market: Key Players
目次
Product Code: SR112023A4564

Abstract

The global data lakes market size reached US$ 9.5 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 37.8 Billion by 2028, exhibiting a growth rate (CAGR) of 25.88% during 2022-2028.

A data lake is a centralized software repository that stores structured and unstructured data from mobile apps, Internet of Things (IoT) devices, social media, and business applications. It provides a framework for machine learning (ML) and advanced real-time analytics, which includes dashboards, visualizations, big data processing, structured query language (SQL) queries, and full-text search, in a collaborative environment to uncover insights. Besides this, it can be integrated seamlessly with operational stores and data warehouses to enable diverse query capabilities and data science use-cases for discovering new information models.

Data Lakes Market Trends:

Due to the global expansion of businesses and the integration of technologies into their core processes, organizations nowadays are facing innumerable challenges concerning the management of large amounts of digital data. This represents one of the key factors driving the need for data lakes to organize large volumes of diverse data from different sources in relatively less time. It also assists in identifying opportunities for fast business growth, attracting and retaining customers, boosting productivity, proactively maintaining devices, and making informed decisions. Apart from this, due to the growing prevalence of acute and chronic diseases, health agencies across the globe are increasingly investing in research and development (R&D) to meet global health needs. This is positively influencing the application of data lakes in the healthcare industry worldwide as they help design products and perform genomic research, resulting in faster performance and effective medication development. Moreover, data lakes can combine customer data from a customer relationship management (CRM) platform with social media analytics, thereby resulting in improving customer interactions and loyalty. As a result, it is gaining traction in the manufacturing units to reduce operational costs and increase product quality, which is anticipated to create a positive market outlook.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global data lakes market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on component, deployment mode, organization size, business function and end use industry.

Breakup by Component:

Solutions

Data Discovery

Data Integration and Management

Data Lake Analytics

Data Visualization

Services

Managed Services

Professional Services

Breakup by Deployment Mode:

On-premises

Cloud-based

Breakup by Organization Size:

Small and Medium-sized Enterprises

Large Enterprises

Breakup by Business Function:

Marketing

Sales

Operations

Finance

Human Resources

Breakup by End Use Industry:

BFSI

IT and Telecom

Retail and E-Commerce

Healthcare and Life Sciences

Manufacturing

Energy and Utilities

Media and Entertainment

Government

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 Amazon Web Services Inc. (Amazon.com Inc), Atos SE, Capgemini, Cloudera Inc., Dell Technologies Inc., Google LLC (Alphabet Inc.), Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Snowflake Inc., Tata Consultancy Services Limited and Teradata Corporation.

Key Questions Answered in This Report:

  • How has the global data lakes market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the global data lakes market?
  • What are the key regional markets?
  • What is the breakup of the market based on the component?
  • What is the breakup of the market based on the deployment mode?
  • What is the breakup of the market based on the organization size?
  • What is the breakup of the market based on the business function?
  • What is the breakup of the market based on the end use industry?
  • What are the various stages in the value chain of the industry?
  • What are the key driving factors and challenges in the industry?
  • What is the structure of the global data lakes market and who are the key players?
  • What is the degree of competition in the industry?

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 Lakes Market

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

6 Market Breakup by Component

  • 6.1 Solutions
    • 6.1.1 Market Trends
    • 6.1.2 Key Segments
      • 6.1.2.1 Data Discovery
      • 6.1.2.2 Data Integration and Management
      • 6.1.2.3 Data Lake Analytics
      • 6.1.2.4 Data Visualization
    • 6.1.3 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Key Segments
      • 6.2.2.1 Managed Services
      • 6.2.2.2 Professional Services
    • 6.2.3 Market Forecast

7 Market Breakup by Deployment Mode

  • 7.1 On-premises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Cloud-based
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Organization Size

  • 8.1 Small and Medium-sized Enterprises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Large Enterprises
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by Business Function

  • 9.1 Marketing
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Sales
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Operations
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Finance
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Human Resources
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast

10 Market Breakup by End Use Industry

  • 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 Retail and E-Commerce
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast
  • 10.4 Healthcare and Life Sciences
    • 10.4.1 Market Trends
    • 10.4.2 Market Forecast
  • 10.5 Manufacturing
    • 10.5.1 Market Trends
    • 10.5.2 Market Forecast
  • 10.6 Energy and Utilities
    • 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 Government
    • 10.8.1 Market Trends
    • 10.8.2 Market Forecast
  • 10.9 Others
    • 10.9.1 Market Trends
    • 10.9.2 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 Amazon Web Services Inc. (Amazon.com Inc)
      • 16.3.1.1 Company Overview
      • 16.3.1.2 Product Portfolio
      • 16.3.1.3 SWOT Analysis
    • 16.3.2 Atos SE
      • 16.3.2.1 Company Overview
      • 16.3.2.2 Product Portfolio
      • 16.3.2.3 Financials
      • 16.3.2.4 SWOT Analysis
    • 16.3.3 Capgemini
      • 16.3.3.1 Company Overview
      • 16.3.3.2 Product Portfolio
      • 16.3.3.3 Financials
      • 16.3.3.4 SWOT Analysis
    • 16.3.4 Cloudera Inc.
      • 16.3.4.1 Company Overview
      • 16.3.4.2 Product Portfolio
      • 16.3.4.3 Financials
    • 16.3.5 Dell Technologies Inc.
      • 16.3.5.1 Company Overview
      • 16.3.5.2 Product Portfolio
      • 16.3.5.3 Financials
      • 16.3.5.4 SWOT Analysis
    • 16.3.6 Google LLC (Alphabet Inc.)
      • 16.3.6.1 Company Overview
      • 16.3.6.2 Product Portfolio
      • 16.3.6.3 SWOT Analysis
    • 16.3.7 Hewlett Packard Enterprise Development LP
      • 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 International Business Machines 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 Microsoft 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 Oracle Corporation
      • 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 SAP SE
      • 16.3.11.1 Company Overview
      • 16.3.11.2 Product Portfolio
      • 16.3.11.3 Financials
      • 16.3.11.4 SWOT Analysis
    • 16.3.12 SAS Institute Inc.
      • 16.3.12.1 Company Overview
      • 16.3.12.2 Product Portfolio
      • 16.3.12.3 SWOT Analysis
    • 16.3.13 Snowflake Inc.
      • 16.3.13.1 Company Overview
      • 16.3.13.2 Product Portfolio
      • 16.3.13.3 Financials
    • 16.3.14 Tata Consultancy Services Limited
      • 16.3.14.1 Company Overview
      • 16.3.14.2 Product Portfolio
      • 16.3.14.3 Financials
      • 16.3.14.4 SWOT Analysis
    • 16.3.15 Teradata Corporation
      • 16.3.15.1 Company Overview
      • 16.3.15.2 Product Portfolio
      • 16.3.15.3 Financials
      • 16.3.15.4 SWOT Analysis