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市場調査レポート
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1057919

ビッグデータの世界市場 - COVID-19の影響分析、2026年までの予測：コンポーネント別、展開モード別、組織規模別、ビジネス機能別 (財務、マーケティング・販売) 、業種別 (BFSI、製造、医療・ライフサイエンス) 、地域別

Big Data Market with COVID-19 Impact Analysis, by Component, Deployment Mode, Organization Size, Business Function (Finance, Marketing & Sales), Industry Vertical (BFSI, Manufacturing, Healthcare & Life Sciences) and Region - Global Forecast to 2026
出版日: | 発行: MarketsandMarkets | ページ情報: 英文 427 Pages | 納期: 即納可能 即納可能とは

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本日の銀行送金レート: 1USD=144.25円
ビッグデータの世界市場 - COVID-19の影響分析、2026年までの予測：コンポーネント別、展開モード別、組織規模別、ビジネス機能別 (財務、マーケティング・販売) 、業種別 (BFSI、製造、医療・ライフサイエンス) 、地域別
出版日: 2022年02月07日
発行: MarketsandMarkets
ページ情報: 英文 427 Pages
納期: 即納可能 即納可能とは
  • 全表示
  • 概要
  • 目次
概要

世界のビッグデータの市場規模は、2021年の1,626億米ドルから、2026年には2,734億米ドルに達し、予測期間中のCAGRで11.0％の成長が予測されています。

ビッグデータ業界は、データ量の急激な増加によって牽引されています。

当レポートでは、世界のビッグデータ市場について調査分析し、市場概要、業界動向、セグメント別の市場分析、競合情勢、主要企業などについて、体系的な情報を提供しています。

目次

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

第5章 市場概要と業界動向

  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
    • 課題
  • ユースケース
  • 特許分析
  • ビッグデータ：進化
  • ビッグデータ：アーキテクチャ
  • ビッグデータの種類
  • ビッグデータアナリティクスの種類
  • ビッグデータエコシステム
  • サプライチェーン分析
  • 価格モデル分析
  • ビッグデータ市場のバイヤー/顧客に影響を与える動向/混乱
  • ポーターのファイブフォース分析
  • 技術分析
  • 規制の影響
  • ビッグデータ市場：COVID-19の影響

第6章 ビッグデータ市場：コンポーネント別

  • ソリューション
  • サービス

第7章 ビッグデータ市場：ビジネス機能別

  • マーケティング・販売
  • 経営
  • 財務
  • 人事

第8章 ビッグデータ市場：展開モード別

  • オンプレミス
  • クラウド

第9章 ビッグデータ市場：組織規模別

  • 中小企業
  • 大企業

第10章 ビッグデータ市場：業種別

  • 銀行・金融サービス・保険 (BFSI)
  • 通信・IT
  • 小売・消費財
  • 医療・ライフサイエンス
  • 政府・防衛
  • メディア・エンターテインメント
  • 製造
  • 輸送・ロジスティクス
  • その他

第11章 ビッグデータ市場：地域別

  • 北米
  • 欧州
  • アジア太平洋地域
  • 中東・アフリカ
  • ラテンアメリカ

第12章 競合情勢

  • 概要
  • 主要企業戦略
  • 市場シェア分析
  • 過去の収益分析
  • 企業の評価象限
  • 競合ベンチマーキング
  • スタートアップ/中小企業の評価象限
  • 競合シナリオ

第13章 企業プロファイル

  • 主要企業
    • IBM
    • GOOGLE
    • ORACLE
    • MICROSOFT
    • SAP
    • SAS
    • CLOUDERA
    • TERADATA
    • TIBCO
    • AWS
    • ALTERYX
    • INFORMATICA
    • SISENSE
    • SALESFORCE
    • HPE
    • QLIK
    • SPLUNK
    • VMWARE
    • ACCENTURE
  • 中小企業/スタートアップ
    • ATACCAMA
    • COGITO
    • CENTERFIELD
    • RIB DATAPINE
    • FUSIONEX
    • BIGPANDA
    • BIGEYE
    • IMPLY
    • RIVERY
    • YUGABYTE DB
    • AIRBYTE
    • CARDAGRAPH
    • FIREBOLT
    • SYNCARI

第14章 隣接・関連市場

第15章 付録

目次
Product Code: TC 1521

The Big Data market size is projected to grow from USD 162.6 billion in 2021 to 273.4 USD billion in 2026, at a Compound Annual Growth Rate (CAGR) of 11.0% during the forecast period. The Big Data industry is driven by sharp increase in data volume. However, rise in data connectivity through cloud computing and incorporation of digital transformation in top-level strategies.

Based on Component, the service segment is expected to grow at a higher CAGR during the forecast period

The service segment of the Big Data market is further segmented into professional services (consulting, support and maintenance, and deployment and integration) and managed services. This section discusses each service subsegment's market size and growth rate based on type (for selected subsegments) and region.

Based on deployment mode, on-premises segment is segmented to account for a larger market size during the forecast period Most

Cloud computing refers to the storage, management, and processing of data via networks of remote servers, which are typically accessed via the Internet. Enterprises mostly in heavily regulated industry verticals, such as BFSI, healthcare and life sciences, and manufacturing, opt for the on-premises deployment model of big data solutions. Furthermore, large enterprises with sufficient IT resources are expected to opt for the on-premises deployment model. On-premises is the most reliable deployment mode, which an enterprise can rely on for a high level of control and security. Enterprises need to purchase a license or a copy to deploy cloud-based solutions.

Based on business function operations segment to grow at a higher CAGR during the forecast period

The Big Data market based on business function is segmented into Finance, Marketing and Sales, Human Resources and Operations. The operations segment is expected to grow at a rapid pace during the forecast period. Big Data can help to improve the performance of order picking and stock-taking process in warehouse management with high accuracy. It aims at improving operational efficiency and effectiveness by enabling data-driven decisions at strategic, operational, and tactical levels. It assists companies in delivering revenue growth, improving margins, managing working capital in a better way, and enhancing overall control points across the supply chain.

Based on organization size, large enterprise segment to account for a larger market size during the forecast period Most The adoption of Big Data software and services among large enterprises is high due to the ever-increasing adoption of the cloud, and the trend is expected to continue during the forecast period. Large enterprises accumulate huge chunks of data that can be attributed to the widespread client base. In large enterprises, data plays a major role in evaluating the overall performance of organizations. Large enterprises are leveraging real-time data coming from various sources; for instance, social media feeds or sensors and cameras, each record needs to be processed in a way that preserves its relation to other data and sequence in time.

Based on solution, big data analytics segment to grow at a higher CAGR during the forecast period

The adoption of Big Data analytics among large enterprises is high as it provides an almost limitless source of business and informational knowledge, which can lead to operational improvements and new income prospects for businesses in practically any industry. The value hidden in company data has firms trying to develop a cutting-edge analytics operation for use cases like consumer personalization, risk reduction, fraud detection, internal operations analysis, and other new use cases arising on a near-daily basis

APAC is expected to grow at a higher CAGR during the forecast period

Asia Pacific (APAC) has continually presented lucrative market opportunities for Big Data Solutions and service providers with a notable increase in Big Data across its developed and emerging countries., Japan, China, and India have displayed ample growth opportunities in the Big Data market. Owing to a rapidly proliferating technology-backed economical structure, APAC is expected to emerge as the fastest-growing region in Big Data software and services demand during the forecast period.

Given below is the breakup of the primary respondents:

  • By Company Type: Tier 1 - 34%, Tier 2 - 43%, and Tier 3 - 23%
  • By Designation: C-level - 50%, Directors - 30%, and Others - 20%
  • By Region: North America - 30%, Europe - 30%, APAC - 25%, MEA - 10%, Latin America- 5%.

Some prominent players profiled in the study include IBM(US), Google(US), Oracle(US), Microsoft(US), SAS(US), SAP(Germany), Alteryx(US), TIBCO(US), Cloudera(US), Teradata(US), AWS(US), Informatica(US), Sisense(US), Salesforce(US), HPE(US), Qlik(US), Splunk(US), VMware(US), Accenture(Ireland), Ataccama(Canada), COGITO(US), Centerfield(US), RIB datapine(Berlin), Fusionex(Malaysia), BigPanda(US), Bigeye(US), Imply(US), Rivery(US), YugabyteDB (US), Airbyte(US), Cardagraph(US), Firebolt(US), Syncari(US).

Research coverage

The market study covers Big Data across different segments. It aims at estimating the market size and the growth potential of this market across different segments, such as, by Component, Deployment Mode, Organization Size, Business Function (Finance, Marketing & Sales), Industry Vertical (BFSI, Manufacturing, Healthcare & Life Sciences), and Region. The regional analysis of the Big Data covers North America, Europe, APAC, MEA, and Latin America

The study also includes an in-depth competitive analysis of the key market players, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key benefits of buying the report

The report is expected to help the market leaders/new entrants in this market by providing them information on the closest approximations of the revenue numbers for the overall Big Data and its segments. This report is also expected to help stakeholders understand the competitive landscape and gain insights to improve the position of their businesses and plan suitable go-to-market strategies. The report also aims at helping stakeholders understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 INTRODUCTION TO COVID-19
  • 1.2 COVID-19 HEALTH ASSESSMENT
    • FIGURE 1 COVID-19: GLOBAL PROPAGATION
    • FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
  • 1.3 COVID-19 ECONOMIC ASSESSMENT
    • FIGURE 3 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
    • 1.3.1 COVID-19 ECONOMIC IMPACT-SCENARIO ASSESSMENT
    • FIGURE 4 CRITERIA IMPACTING THE GLOBAL ECONOMY
    • FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF THE GLOBAL ECONOMY
  • 1.4 OBJECTIVES OF THE STUDY
  • 1.5 MARKET DEFINITION
    • 1.5.1 INCLUSIONS AND EXCLUSIONS
  • 1.6 MARKET SCOPE
    • 1.6.1 MARKET SEGMENTATION
    • 1.6.2 REGIONS COVERED
    • 1.6.3 YEARS CONSIDERED FOR THE STUDY
  • 1.7 CURRENCY CONSIDERED
    • TABLE 1 USD EXCHANGE RATE, 2018-2021
  • 1.8 STAKEHOLDERS
  • 1.9 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 6 BIG DATA MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key industry insights
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES OF THE BIG DATA MARKET
    • FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL SOLUTIONS/SERVICES OF THE BIG DATA MARKET
    • FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY ̶ APPROACH 3 TOP-DOWN (DEMAND SIDE): SHARE OF BIG DATA THROUGH THE OVERALL BIG DATA SPENDING
    • FIGURE 10 BIG DATA MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
  • 2.4 COMPANY EVALUATION MATRIX
    • FIGURE 11 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
  • 2.5 STARTUP/SME EVALUATION MATRIX METHODOLOGY
    • FIGURE 12 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
  • 2.6 ASSUMPTIONS FOR THE STUDY
  • 2.7 LIMITATIONS OF THE STUDY

3 EXECUTIVE SUMMARY

    • TABLE 2 BIG DATA MARKET SIZE AND GROWTH RATE, 2016-2020 (USD MILLION, Y-O-Y)
    • TABLE 3 BIG DATA MARKET SIZE AND GROWTH RATE, 2021-2026 (USD MILLION, Y-O-Y)
    • FIGURE 13 BIG DATA SOLUTIONS TO ACCOUNT FOR A LARGER MARKET SIZE IN 2021
    • FIGURE 14 BIG DATA ANALYTICS SOLUTION SEGMENT TO ACCOUNT FOR A LARGER MARKET SHARE IN 2021
    • FIGURE 15 PROFESSIONAL SERVICES TO HOLD A LARGER MARKET SIZE IN 2021
    • FIGURE 16 SUPPORT AND MAINTENANCE SEGMENT TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2021
    • FIGURE 17 ON-PREMISES SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE IN 2021
    • FIGURE 18 PUBLIC CLOUD SEGMENT TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2021
    • FIGURE 19 LARGE ENTERPRISES SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE IN 2021
    • FIGURE 20 MARKETING AND SALES SEGMENT TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2021
    • FIGURE 21 HEALTHCARE AND LIFE SCIENCE CONTRIBUTED THE HIGHEST MARKET REVENUE IN 2021
    • FIGURE 22 NORTH AMERICA TO BE AN EMERGING DOMINANT REGION IN TERMS OF MARKET SIZE IN 2021

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN THE BIG DATA MARKET
    • FIGURE 23 INCREASED DIGITALIZATION AND EMERGING TECHNOLOGIES SUCH AS ANALYTICS, IOT, AND AI TO DRIVE THE MARKET GROWTH
  • 4.2 BIG DATA MARKET: TOP THREE VERTICALS
    • FIGURE 24 BFSI SEGMENT TO ACCOUNT FOR THE LARGEST MARKET SHARE DURING THE FORECAST PERIOD
  • 4.3 BIG DATA MARKET, BY REGION
    • FIGURE 25 NORTH AMERICA TO ACCOUNT FOR THE HIGHEST MARKET SHARE IN 2021
  • 4.4 NORTH AMERICA: BIG DATA MARKET, BY APPLICATION AND INDUSTRY VERTICAL
    • FIGURE 26 DATA DISCOVERY SOLUTION AND BFSI INDUSTRY VERTICAL TO ACCOUNT FOR THE HIGHEST SHARES IN THE BIG DATA MARKET IN 2021

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 27 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: BIG DATA MARKET
    • 5.2.1 DRIVERS
      • 5.2.1.1 Sharp increase in data volume
      • 5.2.1.2 Rise in data connectivity through cloud computing
      • 5.2.1.3 Incorporation of digital transformation in top-level strategies
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Data security concerns and stringent data security regulations
      • 5.2.2.2 High big data handling costs
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Rise in adoption of technologies and big data analytics
      • 5.2.3.2 The growth of investment in IT sectors by the businesses
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Data silos and poor data quality
      • 5.2.4.2 Lack of data professionals
  • 5.3 USE CASES
    • 5.3.1 BANKING, FINANCIAL SERVICES, AND INSURANCE
      • 5.3.1.1 Use Case 1: Erste Group Bank gains a 360-degree view of customers using Oracle Big Data Appliance on a single cloud platform
    • 5.3.2 TELECOMMUNICATION AND INFORMATION TECHNOLOGY
      • 5.3.2.1 Use Case 2: Robi Axiata Limited uses the Cloudera platform to enhance customer experience
    • 5.3.3 RETAIL AND CONSUMER GOODS
      • 5.3.3.1 Use Case 4: Myntra uses Azure Synapse Analytics and Azure HDInsight to stabilize services and increase year-over-year traffic
    • 5.3.4 GOVERNMENT AND DEFENSE
      • 5.3.4.1 Use Case 5: Indian Oil uses Qlik to achieve business value by providing analytics on the real-time and big data
    • 5.3.5 MEDIA AND ENTERTAINMENT
      • 5.3.5.1 Use Case 6: Dwango Company Ltd. uses the Cloudera Big data platform, and advanced analytics enables expansion and business growth
    • 5.3.6 MANUFACTURING
      • 5.3.6.1 Use Case 7: Brembo uses TIBCO Spotfire to enhance production processes with the help of big data
    • 5.3.7 HEALTHCARE AND LIFE SCIENCE
      • 5.3.7.1 Use Case 8: IQVIA uses Qlik big data analytics to help UK healthcare services
    • 5.3.8 TRANSPORT AND LOGISTICS
      • 5.3.8.1 Use Case 9: CargoSmart uses TIBCO Spotfire for greater visibility and benchmarking
  • 5.4 PATENT ANALYSIS
    • 5.4.1 METHODOLOGY
    • 5.4.2 DOCUMENT TYPE
    • TABLE 4 PATENTS FILED, 2018-2021
    • 5.4.3 INNOVATION AND PATENT APPLICATIONS
    • FIGURE 28 ANNUAL NUMBER OF PATENTS GRANTED, 2018-2021
      • 5.4.3.1 Top applicants
    • FIGURE 29 TOP TEN COMPANIES WITH THE HIGHEST NUMBER OF PATENT APPLICATIONS, 2018-2021
  • 5.5 BIG DATA: EVOLUTION
    • FIGURE 30 BIG DATA: EVOLUTION
  • 5.6 BIG DATA: ARCHITECTURE
    • FIGURE 31 FUNCTIONAL ELEMENTS OF A BIG DATA SOLUTION
  • 5.7 BIG DATA TYPES
  • 5.8 BIG DATA ANALYTICS TYPES
  • 5.9 BIG DATA ECOSYSTEM
    • TABLE 5 BIG DATA MARKET: ECOSYSTEM
  • 5.10 SUPPLY CHAIN ANALYSIS
    • FIGURE 32 SUPPLY CHAIN ANALYSIS
  • 5.11 PRICING MODEL ANALYSIS
    • TABLE 6 PRICING MODEL
  • 5.12 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS IN THE BIG DATA MARKET
    • FIGURE 33 BIG DATA MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
  • 5.13 PORTER'S FIVE FORCES ANALYSIS
    • FIGURE 34 BIG DATA MARKET: PORTER'S FIVE FORCES ANALYSIS
    • TABLE 7 BIG DATA MARKET: PORTER'S FIVE FORCES ANALYSIS
    • 5.13.1 THREAT OF NEW ENTRANTS
    • 5.13.2 THREAT OF SUBSTITUTES
    • 5.13.3 BARGAINING POWER OF SUPPLIERS
    • 5.13.4 BARGAINING POWER OF BUYERS
    • 5.13.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.14 TECHNOLOGICAL ANALYSIS
    • 5.14.1 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
    • 5.14.2 INTERNET OF THINGS
    • 5.14.3 CLOUD COMPUTING
  • 5.15 REGULATORY IMPLICATIONS
    • 5.15.1 GENERAL DATA PROTECTION REGULATION
    • 5.15.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
    • 5.15.3 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD
    • 5.15.4 SARBANES-OXLEY ACT OF 2002
    • 5.15.5 SOC 2 TYPE II COMPLIANCE
    • 5.15.6 ISO/IEC 27001
    • 5.15.7 THE GRAMM-LEACH-BLILEY ACT
  • 5.16 BIG DATA MARKET: COVID-19 IMPACT
    • FIGURE 35 BIG DATA MARKET TO GROW BETWEEN 2021 AND 2026

6 BIG DATA MARKET, BY COMPONENT

  • 6.1 INTRODUCTION
    • 6.1.1 COVID-19 IMPACT ON THE BIG DATA MARKET, BY COMPONENT
    • FIGURE 36 BIG DATA SERVICES TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
    • TABLE 8 BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 9 BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 6.1.2 COMPONENT: BIG DATA MARKET DRIVERS
  • 6.2 SOLUTIONS
    • TABLE 10 BIG DATA SOLUTIONS MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 11 BIG DATA SOLUTIONS MARKET, BY REGION, 2021-2026 (USD MILLION)
    • FIGURE 37 BIG DATA ANALYTICS TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 12 BIG DATA MARKET, BY SOLUTION, 2016-2020 (USD MILLION)
    • TABLE 13 BIG DATA MARKET, BY SOLUTION, 2021-2026 (USD MILLION)
    • 6.2.1 BIG DATA ANALYTICS
    • TABLE 14 BIG DATA ANALYTICS MARKET, BY REGION, 2016-2020 (USD MILLION0
    • TABLE 15 BIG DATA ANALYTICS MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 6.2.2 DATA DISCOVERY
    • TABLE 16 DATA DISCOVERY MARKET, BY REGION, 2016-2020 (USD MILLION0
    • TABLE 17 DATA DISCOVERY MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 6.2.3 DATA VISUALIZATION
    • TABLE 18 DATA VISUALIZATION MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 19 DATA VISUALIZATION MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 6.2.4 DATA MANAGEMENT
    • TABLE 20 DATA MANAGEMENT MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 21 DATA MANAGEMENT MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 6.3 SERVICES
    • FIGURE 38 MANAGED SERVICES TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
    • TABLE 22 BIG DATA MARKET, BY SERVICE, 2016-2020 (USD MILLION)
    • TABLE 23 BIG DATA MARKET, BY SERVICE, 2021-2026 (USD MILLION)
    • TABLE 24 BIG DATA SERVICES MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 25 BIG DATA SERVICES MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 6.3.1 MANAGED SERVICES
    • TABLE 26 MANAGED BIG DATA SERVICES MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 27 MANAGED BIG DATA SERVICES MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 6.3.2 PROFESSIONAL SERVICES
    • TABLE 28 PROFESSIONAL BIG DATA SERVICES MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 29 PROFESSIONAL BIG DATA SERVICES MARKET, BY REGION, 2021-2026 (USD MILLION)
    • FIGURE 39 SUPPORT AND MAINTENANCE SERVICES TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
    • TABLE 30 PROFESSIONAL BIG DATA SERVICES MARKET, BY TYPE, 2016-2020 (USD MILLION)
    • TABLE 31 PROFESSIONAL BIG DATA SERVICES MARKET, BY TYPE, 2021-2026 (USD MILLION)
      • 6.3.2.1 Consulting
    • TABLE 32 CONSULTING BIG DATA SERVICES MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 33 CONSULTING BIG DATA SERVICES MARKET, BY REGION, 2021-2026 (USD MILLION)
      • 6.3.2.2 Deployment and Integration
    • TABLE 34 BIG DATA DEPLOYMENT AND INTEGRATION SERVICES MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 35 BIG DATA DEPLOYMENT AND INTEGRATION SERVICES MARKET, BY REGION, 2021-2026 (USD MILLION)
      • 6.3.2.3 Support and maintenance
    • TABLE 36 BIG DATA SUPPORT AND MAINTENANCE SERVICES MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 37 BIG DATA SUPPORT AND MAINTENANCE SERVICES MARKET T, BY REGION, 2021-2026 (USD MILLION)

7 BIG DATA MARKET, BY BUSINESS FUNCTION

  • 7.1 INTRODUCTION
    • 7.1.1 COVID-19 IMPACT ON THE BIG DATA MARKET, BY BUSINESS FUNCTION
    • FIGURE 40 BIG DATA IN OPERATIONS TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 38 BIG DATA MARKET, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
    • TABLE 39 BIG DATA MARKET, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
    • 7.1.2 BUSINESS FUNCTION: BIG DATA MARKET DRIVERS
  • 7.2 MARKETING AND SALES
    • TABLE 40 BIG DATA MARKET IN MARKETING AND SALES, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 41 BIG DATA MARKET IN MARKETING AND SALES, BY REGION, 2021-2026 (USD MILLION)
  • 7.3 OPERATIONS
    • TABLE 42 BIG DATA MARKET IN OPERATIONS, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 43 BIG DATA MARKET IN OPERATIONS, BY REGION, 2021-2026 (USD MILLION)
  • 7.4 FINANCE
    • TABLE 44 BIG DATA MARKET IN FINANCE, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 45 BIG DATA MARKET IN FINANCE, BY REGION, 2021-2026 (USD MILLION)
  • 7.5 HUMAN RESOURCES
    • TABLE 46 BIG DATA MARKET IN HUMAN RESOURCES, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 47 BIG DATA MARKET IN HUMAN RESOURCES, BY REGION, 2021-2026 (USD MILLION)

8 BIG DATA MARKET, BY DEPLOYMENT MODE

  • 8.1 INTRODUCTION
    • 8.1.1 COVID-19 IMPACT ON THE BIG DATA MARKET, BY DEPLOYMENT MODE
    • FIGURE 41 CLOUD DEPLOYMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
    • TABLE 48 BIG DATA MARKET, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 49 BIG DATA MARKET, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • 8.1.2 DEPLOYMENT MODE: BIG DATA MARKET DRIVERS
  • 8.2 ON-PREMISES
    • TABLE 50 ON-PREMISES DEPLOYMENT MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 51 ON-PREMISES DEPLOYMENT MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 8.3 CLOUD
    • FIGURE 42 HYBRID CLOUD SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 52 CLOUD DEPLOYMENT MARKET, BY TYPE, 2016-2020 (USD MILLION)
    • TABLE 53 CLOUD DEPLOYMENT MARKET, BY TYPE, 2021-2026 (USD MILLION)
    • TABLE 54 CLOUD DEPLOYMENT MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 55 CLOUD DEPLOYMENT MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 8.3.1 PUBLIC CLOUD
    • TABLE 56 PUBLIC CLOUD DEPLOYMENT MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 57 PUBLIC CLOUD DEPLOYMENT MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 8.3.2 PRIVATE CLOUD
    • TABLE 58 PRIVATE CLOUD DEPLOYMENT MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 59 PRIVATE CLOUD DEPLOYMENT MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 8.3.3 HYBRID CLOUD
    • TABLE 60 HYBRID CLOUD DEPLOYMENT MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 61 HYBRID CLOUD DEPLOYMENT MARKET, BY REGION, 2021-2026 (USD MILLION)

9 BIG DATA MARKET, BY ORGANIZATION SIZE

  • 9.1 INTRODUCTION
    • 9.1.1 COVID-19 IMPACT ON THE BIG DATA MARKET, BY ORGANIZATION SIZE
    • FIGURE 43 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
    • TABLE 62 BIG DATA MARKET, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 63 BIG DATA MARKET, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • 9.1.2 ORGANIZATIONS SIZE: BIG DATA MARKET DRIVERS
  • 9.2 SMALL AND MEDIUM-SIZED ENTERPRISES
    • TABLE 64 BIG DATA MARKET IN SMALL AND MEDIUM-SIZED ENTERPRISES, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 65 BIG DATA MARKET IN SMALL AND MEDIUM-SIZED ENTERPRISES, BY REGION, 2021-2026 (USD MILLION)
  • 9.3 LARGE ENTERPRISES
    • TABLE 66 BIG DATA MARKET IN LARGE ENTERPRISES, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 67 BIG DATA MARKET IN LARGE ENTERPRISES, BY REGION, 2021-2026 (USD MILLION)

10 BIG DATA MARKET, BY INDUSTRY VERTICAL

  • 10.1 INTRODUCTION
    • 10.1.1 COVID-19 IMPACT ON BIG DATA MARKET, BY INDUSTRY VERTICAL
    • FIGURE 44 ENERGY AND UTILITIES INDUSTRY VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 68 BIG DATA MARKET, BY INDUSTRY VERTICAL, 2016-2020 (USD MILLION)
    • TABLE 69 BIG DATA MARKET, BY INDUSTRY VERTICAL, 2021-2026 (USD MILLION)
    • 10.1.2 VERTICAL: BIG DATA MARKET DRIVERS
  • 10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
    • TABLE 70 BIG DATA MARKET IN BANKING, FINANCIAL SERVICES, AND INSURANCE, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 71 BIG DATA MARKET IN BANKING, FINANCIAL SERVICES, AND INSURANCE, BY REGION, 2021-2026 (USD MILLION)
  • 10.3 TELECOMMUNICATIONS AND IT
    • TABLE 72 BIG DATA MARKET IN TELECOMMUNICATIONS AND IT, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 73 BIG DATA MARKET IN TELECOMMUNICATIONS AND IT, BY REGION, 2021-2026 (USD MILLION)
  • 10.4 RETAIL AND CONSUMER GOODS
    • TABLE 74 BIG DATA MARKET IN RETAIL AND CONSUMER GOODS, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 75 RETAIL AND CONSUMER GOODS, BY REGION, 2021-2026 (USD MILLION)
  • 10.5 HEALTHCARE AND LIFE SCIENCES
    • TABLE 76 BIG DATA MARKET IN HEALTHCARE AND LIFE SCIENCES, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 77 BIG DATA MARKET IN HEALTHCARE AND LIFE SCIENCES, BY REGION, 2021-2026 (USD MILLION)
  • 10.6 GOVERNMENT AND DEFENSE
    • TABLE 78 BIG DATA MARKET IN GOVERNMENT AND DEFENSE, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 79 BIG DATA MARKET IN GOVERNMENT AND DEFENSE, BY REGION, 2021-2026 (USD MILLION)
  • 10.7 MEDIA AND ENTERTAINMENT
    • TABLE 80 BIG DATA MARKET IN MEDIA AND ENTERTAINMENT, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 81 BIG DATA MARKET IN MEDIA AND ENTERTAINMENT, BY REGION, 2021-2026 (USD MILLION)
  • 10.8 MANUFACTURING
    • TABLE 82 BIG DATA MARKET IN MANUFACTURING, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 83 BIG DATA MARKET IN MANUFACTURING, BY REGION, 2021-2026 (USD MILLION)
  • 10.9 TRANSPORTATION AND LOGISTICS
    • TABLE 84 BIG DATA MARKET IN TRANSPORTATION AND LOGISTICS, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 85 BIG DATA MARKET IN TRANSPORTATION AND LOGISTICS, BY REGION, 2021-2026 (USD MILLION)
  • 10.10 OTHER INDUSTRY VERTICALS
    • TABLE 86 BIG DATA MARKET IN OTHER INDUSTRY VERTICALS, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 87 BIG DATA MARKET IN OTHER INDUSTRY VERTICALS, BY REGION, 2021-2026 (USD MILLION)

11 BIG DATA MARKET, BY REGION

  • 11.1 INTRODUCTION
    • FIGURE 45 ASIA PACIFIC TO ACHIEVE HIGHEST GROWTH IN BIG DATA MARKET DURING FORECAST PERIOD
    • FIGURE 46 INDIA EXPECTED TO ACHIEVE THE HIGHEST GROWTH IN THE BIG DATA MARKET DURING THE FORECAST PERIOD
    • TABLE 88 BIG DATA MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 89 BIG DATA MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 11.2 NORTH AMERICA
    • 11.2.1 NORTH AMERICA: BIG DATA MARKET DRIVERS
    • 11.2.2 NORTH AMERICA: COVID-19 IMPACT
    • 11.2.3 NORTH AMERICA: REGULATIONS
      • 11.2.3.1 Personal Information Protection and Electronic Documents Act (PIPEDA)
      • 11.2.3.2 Gramm-Leach-Bliley (GLB) Act
      • 11.2.3.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996
      • 11.2.3.4 Federal Information Security Management Act (FISMA)
      • 11.2.3.5 Federal Information Processing Standards (FIPS)
      • 11.2.3.6 California Consumer Privacy Act (CSPA)
    • FIGURE 47 NORTH AMERICA: MARKET SNAPSHOT
    • TABLE 90 NORTH AMERICA: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 91 NORTH AMERICA: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 92 NORTH AMERICA: BIG DATA MARKET, BY SERVICE, 2016-2020 (USD MILLION)
    • TABLE 93 NORTH AMERICA: BIG DATA MARKET, BY SERVICE, 2021-2026 (USD MILLION)
    • TABLE 94 NORTH AMERICA: BIG DATA SERVICES MARKET, BY PROFESSIONAL SERVICE, 2016-2020 (USD MILLION)
    • TABLE 95 NORTH AMERICA: BIG DATA SERVICES MARKET, BY PROFESSIONAL SERVICE, 2021-2026 (USD MILLION)
    • TABLE 96 NORTH AMERICA: BIG DATA MARKET, BY SOLUTION, 2016-2020 (USD MILLION)
    • TABLE 97 NORTH AMERICA: BIG DATA MARKET, BY SOLUTION, 2021-2026 (USD MILLION)
    • TABLE 98 NORTH AMERICA: BIG DATA MARKET, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 99 NORTH AMERICA: BIG DATA MARKET, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • TABLE 100 NORTH AMERICA: BIG DATA MARKET, BY CLOUD TYPE, 2016-2020 (USD MILLION)
    • TABLE 101 NORTH AMERICA: BIG DATA MARKET, BY CLOUD TYPE, 2021-2026 (USD MILLION)
    • TABLE 102 NORTH AMERICA: BIG DATA MARKET, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 103 NORTH AMERICA: BIG DATA MARKET, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • TABLE 104 NORTH AMERICA: BIG DATA MARKET, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
    • TABLE 105 NORTH AMERICA: BIG DATA MARKET, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
    • TABLE 106 NORTH AMERICA: BIG DATA MARKET, BY INDUSTRY VERTICAL, 2016-2020 (USD MILLION)
    • TABLE 107 NORTH AMERICA: BIG DATA MARKET, BY INDUSTRY VERTICAL, 2021-2026 (USD MILLION)
    • TABLE 108 NORTH AMERICA: BIG DATA MARKET, BY COUNTRY, 2016-2020 (USD MILLION)
    • TABLE 109 NORTH AMERICA: BIG DATA MARKET, BY COUNTRY, 2021-2026 (USD MILLION)
    • 11.2.4 UNITED STATES
    • TABLE 110 US: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 111 UNITED STATES: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 112 UNITED STATES: BIG DATA MARKET, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 113 UNITED STATES: BIG DATA MARKET, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • 11.2.5 CANADA
    • TABLE 114 CANADA: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 115 CANADA: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 116 CANADA: BIG DATA MARKET, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 117 CANADA: BIG DATA MARKET, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
  • 11.3 EUROPE
    • 11.3.1 EUROPE: BIG DATA MARKET DRIVERS
    • 11.3.2 EUROPE: COVID-19 IMPACT
    • 11.3.3 EUROPE: TARIFFS AND REGULATIONS
      • 11.3.3.1 GDPR 2016/679 is a regulation in the EU
      • 11.3.3.2 General Data Protection Regulation
      • 11.3.3.3 European Committee for Standardization
      • 11.3.3.4 European Technical Standards Institute
    • 11.3.4 EUROPE GOVERNMENT CASE STUDIES
      • 11.3.4.1 Case study 1: INVITALIA, ITALY
      • 11.3.4.2 Case study 2: COMUNE DI CATANIA, ITALY
      • 11.3.4.3 Case study 3: ITALY'S NATIONAL INSTITUTE FOR INSURANCE AGAINST ACCIDENTS AT WORK (INAIL)
      • 11.3.4.4 Case study 4: CITY OF WIESBADEN, GERMANY
      • 11.3.4.5 Case study 5: NHS BUSINESS SERVICES AUTHORITY (NHSBSA), ENGLAND
      • 11.3.4.6 Case study 6: NATIONAL GENDARMERIE, FRANCE
      • 11.3.4.7 Case study 7: AGENCIA TRIBUTARIA DE CATALUNA (ATC), SPAIN
      • 11.3.4.8 Case study 8: MINISTRY OF INDUSTRY, FOREIGN TRADE AND SERVICES (MDIC), BRAZIL
      • 11.3.4.9 Case study 9: NETHERLANDS MINISTRY OF DEFENSE
      • 11.3.4.10 Case study 10: BUNDESPOLIZEI, GERMANY
      • 11.3.4.11 Case study 11: AVON AND SOMERSET CONSTABULARY, ENGLAND
      • 11.3.4.12 Case study 12: SCOTTISH ENVIRONMENT PROTECTION AGENCY (SEPA), SCOTLAND
      • 11.3.4.13 Case study 13: DE RECHTSPRAAK, NETHERLANDS
      • 11.3.4.14 Case study 14: CITY OF ESPOO, FINLAND
      • 11.3.4.15 Case study 15: EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH (CERN), SWITZERLAND
      • 11.3.4.16 Case study 16: MINISTRY OF ECOLOGY, SUSTAINABLE DEVELOPMENT, TRANSPORTATION AND HOUSING (MEDDE), FRANCE
    • TABLE 118 EUROPE: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 119 EUROPE: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 120 EUROPE: BIG DATA MARKET, BY SERVICE, 2016-2020 (USD MILLION)
    • TABLE 121 EUROPE: BIG DATA MARKET, BY SERVICE, 2021-2026 (USD MILLION)
    • TABLE 122 EUROPE: BIG DATA SERVICES MARKET, BY PROFESSIONAL SERVICE, 2016-2020 (USD MILLION)
    • TABLE 123 EUROPE: BIG DATA SERVICES MARKET, BY PROFESSIONAL SERVICE, 2021-2026 (USD MILLION)
    • TABLE 124 EUROPE: BIG DATA MARKET, BY SOLUTION, 2016-2020 (USD MILLION)
    • TABLE 125 EUROPE: BIG DATA MARKET, BY SOLUTION, 2021-2026 (USD MILLION)
    • TABLE 126 EUROPE: BIG DATA MARKET, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 127 EUROPE: BIG DATA MARKET, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • TABLE 128 EUROPE: BIG DATA MARKET, BY CLOUD TYPE, 2016-2020 (USD MILLION)
    • TABLE 129 EUROPE: BIG DATA MARKET, BY CLOUD TYPE, 2021-2026 (USD MILLION)
    • TABLE 130 EUROPE: BIG DATA MARKET, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 131 EUROPE: BIG DATA MARKET, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • TABLE 132 EUROPE: BIG DATA MARKET, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
    • TABLE 133 EUROPE: BIG DATA MARKET, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
    • TABLE 134 EUROPE: BIG DATA MARKET, BY INDUSTRY VERTICAL, 2016-2020 (USD MILLION)
    • TABLE 135 EUROPE: BIG DATA MARKET, BY INDUSTRY VERTICAL, 2021-2026 (USD MILLION)
    • TABLE 136 EUROPE: BIG DATA MARKET, BY COUNTRY, 2016-2020 (USD MILLION)
    • TABLE 137 EUROPE: BIG DATA MARKET, BY COUNTRY, 2021-2026 (USD MILLION)
    • 11.3.5 UNITED KINGDOM
    • TABLE 138 UK: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 139 UK: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.3.6 GERMANY
    • TABLE 140 GERMANY: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 141 GERMANY: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.3.7 FRANCE
    • TABLE 142 FRANCE: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 143 FRANCE: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.3.8 REST OF EUROPE
    • TABLE 144 REST OF EUROPE: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 145 REST OF EUROPE: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
  • 11.4 ASIA PACIFIC
    • 11.4.1 ASIA PACIFIC: BIG DATA MARKET DRIVERS
    • 11.4.2 ASIA PACIFIC: COVID-19 IMPACT
    • 11.4.3 ASIA PACIFIC: REGULATIONS
      • 11.4.3.1 Privacy Commissioner for Personal Data
      • 11.4.3.2 Act on the Protection of Personal Information
      • 11.4.3.3 Critical Information Infrastructure
      • 11.4.3.4 International Organization for Standardization 27001
      • 11.4.3.5 Personal Data Protection Act
    • FIGURE 48 ASIA PACIFIC: MARKET SNAPSHOT
    • TABLE 146 ASIA PACIFIC: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 147 ASIA PACIFIC: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 148 ASIA PACIFIC: BIG DATA MARKET, BY SERVICE, 2016-2020 (USD MILLION)
    • TABLE 149 ASIA PACIFIC: BIG DATA MARKET, BY SERVICE, 2021-2026 (USD MILLION)
    • TABLE 150 ASIA PACIFIC: BIG DATA SERVICE MARKET, BY PROFESSIONAL SERVICE, 2016-2020 (USD MILLION)
    • TABLE 151 ASIA PACIFIC: BIG DATA SERVICE MARKET, BY PROFESSIONAL SERVICE, 2021-2026 (USD MILLION)
    • TABLE 152 ASIA PACIFIC: BIG DATA MARKET, BY SOLUTION, 2016-2020 (USD MILLION)
    • TABLE 153 ASIA PACIFIC: BIG DATA MARKET, BY SOLUTION, 2021-2026 (USD MILLION)
    • TABLE 154 ASIA PACIFIC: BIG DATA MARKET, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 155 ASIA PACIFIC: BIG DATA MARKET, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • TABLE 156 ASIA PACIFIC: BIG DATA MARKET, BY CLOUD TYPE, 2016-2020 (USD MILLION)
    • TABLE 157 ASIA PACIFIC: BIG DATA MARKET, BY CLOUD TYPE, 2021-2026 (USD MILLION)
    • TABLE 158 ASIA PACIFIC: BIG DATA MARKET, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 159 ASIA PACIFIC: BIG DATA MARKET, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • TABLE 160 ASIA PACIFIC: BIG DATA MARKET, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
    • TABLE 161 ASIA PACIFIC: BIG DATA MARKET, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
    • TABLE 162 ASIA PACIFIC: BIG DATA MARKET, BY INDUSTRY VERTICAL, 2016-2020 (USD MILLION)
    • TABLE 163 ASIA PACIFIC: BIG DATA MARKET, BY INDUSTRY VERTICAL, 2021-2026 (USD MILLION)
    • TABLE 164 ASIA PACIFIC: BIG DATA MARKET, BY COUNTRY, 2016-2020 (USD MILLION)
    • TABLE 165 ASIA PACIFIC: BIG DATA MARKET, BY COUNTRY, 2021-2026 (USD MILLION)
    • 11.4.4 CHINA
    • TABLE 166 CHINA: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 167 CHINA: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.4.5 JAPAN
    • TABLE 168 JAPAN: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 169 JAPAN: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.4.6 INDIA
    • TABLE 170 INDIA: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 171 INDIA: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.4.7 REST OF ASIA PACIFIC
    • TABLE 172 REST OF ASIA PACIFIC: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 173 REST OF ASIA PACIFIC: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
  • 11.5 MIDDLE EAST & AFRICA
    • 11.5.1 MIDDLE EAST & AFRICA: BIG DATA MARKET DRIVERS
    • 11.5.2 MIDDLE EAST & AFRICA: COVID-19 IMPACT
    • 11.5.3 MIDDLE EAST & AFRICA: REGULATIONS
      • 11.5.3.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
      • 11.5.3.2 GDPR Applicability in KSA
      • 11.5.3.3 Cloud Computing Framework:
      • 11.5.3.4 Electronic Transactions Law
      • 11.5.3.5 Electronic Commerce Law
      • 11.5.3.6 Protection of Personal Information Act (POPIA)
    • TABLE 174 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 175 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 176 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY SERVICE, 2016-2020 (USD MILLION)
    • TABLE 177 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY SERVICE, 2021-2026 (USD MILLION)
    • TABLE 178 MIDDLE EAST & AFRICA: BIG DATA SERVICES MARKET, BY PROFESSIONAL SERVICE, 2016-2020 (USD MILLION)
    • TABLE 179 MIDDLE EAST & AFRICA: BIG DATA SERVICES MARKET, BY PROFESSIONAL SERVICE, 2021-2026 (USD MILLION)
    • TABLE 180 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY SOLUTION, 2016-2020 (USD MILLION)
    • TABLE 181 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY SOLUTION, 2021-2026 (USD MILLION)
    • TABLE 182 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 183 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • TABLE 184 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY CLOUD TYPE, 2016-2020 (USD MILLION)
    • TABLE 185 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY CLOUD TYPE, 2021-2026 (USD MILLION)
    • TABLE 186 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 187 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • TABLE 188 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
    • TABLE 189 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
    • TABLE 190 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY INDUSTRY VERTICAL, 2016-2020 (USD MILLION)
    • TABLE 191 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY INDUSTRY VERTICAL, 2021-2026 (USD MILLION)
    • TABLE 192 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY COUNTRY, 2016-2020 (USD MILLION)
    • TABLE 193 MIDDLE EAST & AFRICA: BIG DATA MARKET, BY COUNTRY, 2021-2026 (USD MILLION)
    • 11.5.4 KINGDOM OF SAUDI ARABIA
    • TABLE 194 KINGDOM OF SAUDI ARABIA: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 195 KINGDOM OF SAUDI ARABIA: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.5.5 SOUTH AFRICA
    • TABLE 196 SOUTH AFRICA: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 197 SOUTH AFRICA: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.5.6 UNITED ARAB EMIRATES
    • TABLE 198 UNITED ARAB OF EMIRATES: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 199 UNITED ARAB OF EMIRATES: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.5.7 REST OF THE MIDDLE EAST AND AFRICA
    • TABLE 200 REST OF THE MIDDLE EAST AND AFRICA: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 201 REST OF THE MIDDLE EAST AND AFRICA: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.5.8 COMPETITIVE ANALYSIS
  • 11.6 LATIN AMERICA
    • 11.6.1 LATIN AMERICA: BIG DATA MARKET DRIVERS
    • 11.6.2 LATIN AMERICA: COVID-19 IMPACT
    • 11.6.3 LATIN AMERICA: REGULATIONS
      • 11.6.3.1 Brazil Data Protection Law
      • 11.6.3.2 Argentina Personal Data Protection Law No. 25.326
    • TABLE 202 LATIN AMERICA: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 203 LATIN AMERICA: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 204 LATIN AMERICA: BIG DATA MARKET, BY SERVICE, 2016-2020 (USD MILLION)
    • TABLE 205 LATIN AMERICA: BIG DATA MARKET, BY SERVICE, 2021-2026 (USD MILLION)
    • TABLE 206 LATIN AMERICA: BIG DATA SERVICES MARKET, BY PROFESSIONAL SERVICE, 2016-2020 (USD MILLION)
    • TABLE 207 LATIN AMERICA: BIG DATA SERVICES MARKET, BY PROFESSIONAL SERVICE, 2021-2026 (USD MILLION)
    • TABLE 208 LATIN AMERICA: BIG DATA MARKET, BY SOLUTION, 2016-2020 (USD MILLION)
    • TABLE 209 LATIN AMERICA: BIG DATA MARKET, BY SOLUTION, 2021-2026 (USD MILLION)
    • TABLE 210 LATIN AMERICA: BIG DATA MARKET, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 211 LATIN AMERICA: BIG DATA MARKET, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • TABLE 212 LATIN AMERICA: BIG DATA MARKET, BY CLOUD TYPE, 2016-2020 (USD MILLION)
    • TABLE 213 LATIN AMERICA: BIG DATA MARKET, BY CLOUD TYPE, 2021-2026 (USD MILLION)
    • TABLE 214 LATIN AMERICA: BIG DATA MARKET, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 215 LATIN AMERICA: BIG DATA MARKET, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • TABLE 216 LATIN AMERICA: BIG DATA MARKET, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
    • TABLE 217 LATIN AMERICA: BIG DATA MARKET, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
    • TABLE 218 LATIN AMERICA: BIG DATA MARKET, BY INDUSTRY VERTICAL, 2016-2020 (USD MILLION)
    • TABLE 219 LATIN AMERICA: BIG DATA MARKET, BY INDUSTRY VERTICAL, 2021-2026 (USD MILLION)
    • TABLE 220 LATIN AMERICA: BIG DATA MARKET, BY COUNTRY, 2016-2020 (USD MILLION)
    • TABLE 221 LATIN AMERICA: BIG DATA MARKET, BY COUNTRY, 2021-2026 (USD MILLION)
    • 11.6.4 BRAZIL
    • TABLE 222 BRAZIL: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 223 BRAZIL: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.6.5 MEXICO
    • TABLE 224 MEXICO: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 225 MEXICO: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.6.6 REST OF LATIN AMERICA
    • TABLE 226 REST OF LATIN AMERICA: BIG DATA MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 227 REST OF LATIN AMERICA: BIG DATA MARKET, BY COMPONENT, 2021-2026 (USD MILLION)

12 COMPETITIVE LANDSCAPE

  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES
  • 12.3 MARKET SHARE ANALYSIS
    • FIGURE 49 BIG DATA MARKET SHARE ANALYSIS OF KEY PLAYERS
    • TABLE 228 BIG DATA MARKET: DEGREE OF COMPETITION
  • 12.4 HISTORIC REVENUE ANALYSIS
    • FIGURE 50 HISTORIC REVENUE ANALYSIS FOR LEADING PLAYERS, 2016-2020
  • 12.5 COMPANY EVALUATION QUADRANT
    • 12.5.1 STARS
    • 12.5.2 EMERGING LEADERS
    • 12.5.3 PERVASIVE PLAYERS
    • 12.5.4 PARTICIPANTS
    • FIGURE 51 KEY BIG DATA MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2021
  • 12.6 COMPETITIVE BENCHMARKING
    • TABLE 229 COMPANY PRODUCT FOOTPRINT
    • TABLE 230 COMPANY REGION FOOTPRINT
    • TABLE 231 CONSOLIDATED FOOTPRINT
  • 12.7 START-UP/SME EVALUATION QUADRANT
    • 12.7.1 PROGRESSIVE COMPANIES
    • 12.7.2 RESPONSIVE COMPANIES
    • 12.7.3 DYNAMIC COMPANIES
    • 12.7.4 STARTING BLOCKS
    • FIGURE 52 STARTUP/SME BIG DATA MARKET EVALUATION MATRIX, 2021
  • 12.8 COMPETITIVE SCENARIO
    • 12.8.1 PRODUCT LAUNCHES
    • TABLE 232 PRODUCT LAUNCHES, JUNE 2019-AUGUST 2021
    • 12.8.2 DEALS
    • TABLE 233 DEALS, AUGUST 2019-AUGUST 2021

13 COMPANY PROFILES

  • 13.1 INTRODUCTION
  • 13.2 MAJOR PLAYERS
  • (Business Overview, Products & Services, Recent Developments, COVID-19 related developments, MnM View)**
    • 13.2.1 IBM
    • TABLE 234 IBM: BUSINESS OVERVIEW
    • FIGURE 53 IBM: COMPANY SNAPSHOT
    • TABLE 235 IBM: PRODUCTS OFFERED
    • TABLE 236 IBM: SERVICES OFFERED
    • TABLE 237 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 238 IBM: DEALS
    • 13.2.2 GOOGLE
    • TABLE 239 GOOGLE: BUSINESS OVERVIEW
    • FIGURE 54 GOOGLE: COMPANY SNAPSHOT
    • TABLE 240 GOOGLE: PRODUCTS OFFERED
    • TABLE 241 GOOGLE: SERVICES OFFERED
    • TABLE 242 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 243 GOOGLE: DEALS
    • 13.2.3 ORACLE
    • TABLE 244 ORACLE: BUSINESS OVERVIEW
    • FIGURE 55 ORACLE: COMPANY SNAPSHOT
    • TABLE 245 ORACLE: PRODUCTS OFFERED
    • TABLE 246 ORACLE: SERVICES OFFERED
    • TABLE 247 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 248 ORACLE: DEALS
    • 13.2.4 MICROSOFT
    • TABLE 249 MICROSOFT: BUSINESS OVERVIEW
    • FIGURE 56 MICROSOFT: COMPANY SNAPSHOT
    • TABLE 250 MICROSOFT: PRODUCTS OFFERED
    • TABLE 251 MICROSOFT: SERVICES OFFERED
    • TABLE 252 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 253 MICROSOFT: DEALS
    • 13.2.5 SAP
    • TABLE 254 SAP: BUSINESS OVERVIEW
    • FIGURE 57 SAP: COMPANY SNAPSHOT
    • TABLE 255 SAP: PRODUCTS OFFERED
    • TABLE 256 SAP: SERVICES OFFERED
    • TABLE 257 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 258 SAP: DEALS
    • 13.2.6 SAS
    • TABLE 259 SAS: BUSINESS OVERVIEW
    • FIGURE 58 SAS: COMPANY SNAPSHOT
    • TABLE 260 SAS: PRODUCTS OFFERED
    • TABLE 261 SAS: SERVICES OFFERED
    • TABLE 262 SAS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 263 SAS: DEALS
    • 13.2.7 CLOUDERA
    • TABLE 264 CLOUDERA: BUSINESS OVERVIEW
    • FIGURE 59 CLOUDERA: COMPANY SNAPSHOT
    • TABLE 265 CLOUDERA: PRODUCTS OFFERED
    • TABLE 266 CLOUDERA: SERVICES OFFERED
    • TABLE 267 CLOUDERA: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 268 CLOUDERA: DEALS
    • 13.2.8 TERADATA
    • TABLE 269 TERADATA: BUSINESS OVERVIEW
    • FIGURE 60 TERADATA: COMPANY SNAPSHOT
    • TABLE 270 TERADATA: PRODUCTS OFFERED
    • TABLE 271 TERADATA: SERVICES OFFERED
    • TABLE 272 TERADATA: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 273 TERADATA: DEALS
    • 13.2.9 TIBCO
    • TABLE 274 TIBCO: BUSINESS OVERVIEW
    • TABLE 275 TIBCO: PRODUCTS OFFERED
    • TABLE 276 TIBCO: SERVICES OFFERED
    • TABLE 277 TIBCO: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 278 TIBCO: DEALS
    • 13.2.10 AWS
    • TABLE 279 AWS: BUSINESS OVERVIEW
    • FIGURE 61 AWS: COMPANY SNAPSHOT
    • TABLE 280 AWS: PRODUCTS OFFERED
    • TABLE 281 AWS: SERVICES OFFERED
    • TABLE 282 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 283 AWS: DEALS
    • 13.2.11 ALTERYX
    • TABLE 284 ALTERYX: BUSINESS OVERVIEW
    • FIGURE 62 ALTERYX: COMPANY SNAPSHOT
    • TABLE 285 ALTERYX: PRODUCTS OFFERED
    • TABLE 286 ALTERYX: SERVICES OFFERED
    • TABLE 287 ALTERYX: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 288 ALTERYX: DEALS
    • 13.2.12 INFORMATICA
    • TABLE 289 INFORMATICA: BUSINESS OVERVIEW
    • FIGURE 63 INFORMATICA: COMPANY SNAPSHOT
    • TABLE 290 INFORMATICA: PRODUCTS OFFERED
    • TABLE 291 INFORMATICA: SERVICES OFFERED
    • TABLE 292 INFORMATICA: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 293 INFORMATICA: DEALS
    • 13.2.13 SISENSE
    • TABLE 294 SISENSE: BUSINESS OVERVIEW
    • TABLE 295 SISENSE: PRODUCTS OFFERED
    • TABLE 296 SISENSE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 297 SISENSE: DEALS
    • 13.2.14 SALESFORCE
    • TABLE 298 SALESFORCE: BUSINESS OVERVIEW
    • FIGURE 64 SALESFORCE: COMPANY SNAPSHOT
    • TABLE 299 SALESFORCE: SOLUTIONS OFFERED
    • TABLE 300 SALESFORCE: SERVICES OFFERED
    • TABLE 301 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 302 SALESFORCE: DEALS
    • 13.2.15 HPE
    • TABLE 303 HPE: BUSINESS OVERVIEW
    • FIGURE 65 HPE: COMPANY SNAPSHOT
    • TABLE 304 HPE: PRODUCTS OFFERED
    • TABLE 305 HPE: SERVICES OFFERED
    • TABLE 306 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 307 HPE: DEALS
    • 13.2.16 QLIK
    • TABLE 308 QLIK: BUSINESS OVERVIEW
    • TABLE 309 QLIK: PRODUCTS OFFERED
    • TABLE 310 QLIK: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 311 QLIK: DEALS
    • 13.2.17 SPLUNK
    • TABLE 312 SPLUNK: BUSINESS OVERVIEW
    • FIGURE 66 SPLUNK: COMPANY SNAPSHOT
    • TABLE 313 SPLUNK: PRODUCTS OFFERED
    • TABLE 314 SPLUNK: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 315 SPLUNK: DEALS
    • 13.2.18 VMWARE
    • TABLE 316 VMWARE: BUSINESS OVERVIEW
    • FIGURE 67 VMWARE: COMPANY SNAPSHOT
    • TABLE 317 VMWARE: PRODUCTS OFFERED
    • TABLE 318 VMWARE: DEALS
    • 13.2.19 ACCENTURE
    • TABLE 319 ACCENTURE: BUSINESS OVERVIEW
    • FIGURE 68 ACCENTURE: COMPANY SNAPSHOT
    • TABLE 320 ACCENTURE: PRODUCTS OFFERED
    • TABLE 321 ACCENTURE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 322 ACCENTURE: DEALS
  • *Details on Business Overview, Products & Services, Recent Developments, COVID-19 related developments, MnM View might not be captured in case of unlisted companies.
  • 13.3 SMES/START-UPS
    • 13.3.1 ATACCAMA
    • 13.3.2 COGITO
    • 13.3.3 CENTERFIELD
    • 13.3.4 RIB DATAPINE
    • 13.3.5 FUSIONEX
    • 13.3.6 BIGPANDA
    • 13.3.7 BIGEYE
    • 13.3.8 IMPLY
    • 13.3.9 RIVERY
    • 13.3.10 YUGABYTE DB
    • 13.3.11 AIRBYTE
    • 13.3.12 CARDAGRAPH
    • 13.3.13 FIREBOLT
    • 13.3.14 SYNCARI

14 ADJACENT AND RELATED MARKETS

  • 14.1 DATA GOVERNANCE MARKET-GLOBAL FORECAST TO 2025
    • 14.1.1 MARKET DEFINITION
    • 14.1.2 MARKET OVERVIEW
      • 14.1.2.1 Data governance market, by application
    • TABLE 323 DATA GOVERNANCE MARKET SIZE, BY APPLICATION, 2014-2019 (USD MILLION)
    • TABLE 324 DATA GOVERNANCE MARKET SIZE, BY APPLICATION, 2019-2025 (USD MILLION)
      • 14.1.2.2 Data governance market, by component
    • TABLE 325 DATA GOVERNANCE MARKET SIZE, BY COMPONENT, 2014-2019 (USD MILLION)
    • TABLE 326 DATA GOVERNANCE MARKET SIZE, BY COMPONENT, 2019-2025 (USD MILLION)
      • 14.1.2.3 Data governance market, by deployment model
    • TABLE 327 DATA GOVERNANCE MARKET SIZE, BY DEPLOYMENT MODEL, 2014-2019 (USD MILLION)
    • TABLE 328 DATA GOVERNANCE MARKET SIZE, BY DEPLOYMENT MODEL, 2019-2025 (USD MILLION)
      • 14.1.2.4 Data governance market, by organization size
    • TABLE 329 DATA GOVERNANCE MARKET SIZE, BY ORGANIZATION SIZE, 2014-2019 (USD MILLION)
    • TABLE 330 DATA GOVERNANCE MARKET SIZE, BY ORGANIZATION SIZE, 2019-2025 (USD MILLION)
      • 14.1.2.5 Data governance market, by vertical
    • TABLE 331 DATA GOVERNANCE MARKET SIZE, BY VERTICAL, 2014-2019 (USD MILLION)
    • TABLE 332 DATA GOVERNANCE MARKET SIZE, BY VERTICAL, 2019-2025 (USD MILLION)
      • 14.1.2.6 Data governance market, by region
    • TABLE 333 DATA GOVERNANCE MARKET SIZE, BY REGION, 2014-2019 (USD MILLION)
    • TABLE 334 DATA GOVERNANCE MARKET SIZE, BY REGION, 2019-2025 (USD MILLION)
    • 14.1.3 DATA DISCOVERY MARKET-GLOBAL FORECAST TO 2025
      • 14.1.3.1 Market definition
      • 14.1.3.2 Market overview
      • 14.1.3.3 Data discovery market, by component
    • TABLE 335 DATA DISCOVERY MARKET SIZE, BY COMPONENT, 2014-2019 (USD MILLION)
    • TABLE 336 DATA DISCOVERY MARKET SIZE, BY COMPONENT, 2019-2025 (USD MILLION)
    • TABLE 337 DATA DISCOVERY MARKET SIZE, BY SERVICE,2014-2019 (USD MILLION)
    • TABLE 338 DATA DISCOVERY MARKET SIZE, BY SERVICE, 2019-2025 (USD MILLION)
    • TABLE 339 PROFESSIONAL SERVICES: DATA DISCOVERY MARKET SIZE, BY TYPE, 2014-2019 (USD MILLION)
    • TABLE 340 PROFESSIONAL SERVICES: DATA DISCOVERY MARKET SIZE, BY TYPE, 2019-2025 (USD MILLION)
      • 14.1.3.4 Data discovery market, by organization size
    • TABLE 341 DATA DISCOVERY MARKET SIZE, BY ORGANIZATION SIZE, 2014-2019 (USD MILLION)
    • TABLE 342 DATA DISCOVERY MARKET SIZE, BY ORGANIZATION SIZE, 2019-2025 (USD MILLION)
      • 14.1.3.5 Data discovery market, by deployment mode
    • TABLE 343 DATA DISCOVERY MARKET SIZE, BY DEPLOYMENT MODE, 2014-2019 (USD MILLION)
    • TABLE 344 DATA DISCOVERY MARKET SIZE, BY DEPLOYMENT MODE, 2019-2025 (USD MILLION)
    • TABLE 345 CLOUD: DATA DISCOVERY MARKET SIZE, BY TYPE, 2014-2019 (USD MILLION)
    • TABLE 346 CLOUD: DATA DISCOVERY MARKET SIZE, BY TYPE, 2019-2025 (USD MILLION)
      • 14.1.3.6 Data discovery market, by functionality
    • TABLE 347 DATA DISCOVERY MARKET SIZE, BY FUNCTIONALITY, 2014-2019 (USD MILLION)
    • TABLE 348 DATA DISCOVERY MARKET SIZE, BY FUNCTIONALITY, 2019-2025 (USD MILLION)
      • 14.1.3.7 Data discovery market, by application
    • TABLE 349 DATA DISCOVERY MARKET SIZE, BY APPLICATION, 2014-2019 (USD MILLION)
    • TABLE 350 DATA DISCOVERY MARKET SIZE, BY APPLICATION, 2019-2025 (USD MILLION)
      • 14.1.3.8 Data discovery market, by vertical
    • TABLE 351 DATA DISCOVERY MARKET SIZE, BY VERTICAL, 2014-2019 (USD MILLION)
    • TABLE 352 DATA DISCOVERY MARKET SIZE, BY VERTICAL, 2019-2025 (USD MILLION)
      • 14.1.3.9 Data discovery market, by region
    • TABLE 353 DATA DISCOVERY MARKET SIZE, BY REGION, 2014-2019 (USD MILLION)
    • TABLE 354 DATA DISCOVERY MARKET SIZE, BY REGION, 2019-2025 (USD MILLION)

15 APPENDIX

  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 15.3 AVAILABLE CUSTOMIZATIONS
  • 15.4 RELATED REPORTS
  • 15.5 AUTHOR DETAILS