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1065011

データサイエンスプラットフォームの世界市場 - COVID-19の影響分析：コンポーネント、ビジネス機能（マーケティング、セールス、ロジスティクス、カスタマーサポート）、展開モード、組織規模、業界、地域別 - 2026年までの予測

Data Science Platform Market with COVID-19 Impact Analysis by Component (Platform & Services), Business Function (Marketing, Sales, Logistics, & Customer Support), Deployment Mode, Organization Size, Industry Vertical & Region - Global Forecast -2026
出版日: | 発行: MarketsandMarkets | ページ情報: 英文 351 Pages | 納期: 即納可能 即納可能とは

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データサイエンスプラットフォームの世界市場 - COVID-19の影響分析：コンポーネント、ビジネス機能（マーケティング、セールス、ロジスティクス、カスタマーサポート）、展開モード、組織規模、業界、地域別 - 2026年までの予測
出版日: 2022年03月09日
発行: MarketsandMarkets
ページ情報: 英文 351 Pages
納期: 即納可能 即納可能とは
  • 全表示
  • 概要
  • 目次
概要

世界のデータサイエンスプラットフォームの市場規模は、予測期間中に27.7%のCAGRで推移し、2021年の953億米ドルから、2026年には3,229億米ドルに拡大すると予測されています。

同業界は、ビッグデータの驚異的な成長、クラウドベースのソリューションの採用の増加、さまざまな業界におけるデータサイエンスプラットフォームの用途増加、競争優位性を得るために膨大なデータから深い洞察を抽出するニーズの高まりによって牽引されています。

当レポートでは、世界のデータサイエンスプラットフォーム市場について調査し、市場力学、特許や技術の分析、ユースケース、エコシステム、COVID-19の影響、セグメント・地域別の市場分析、競合情勢、主要企業のプロファイルなどの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

  • データサイエンスプラットフォーム市場における魅力的な機会
  • 主要3業界
  • 地域別：市場
  • ビジネス機能・業界別：北米市場

第5章 市場概要と動向

  • 市場力学
    • 促進要因
    • 抑制要因
    • 市場機会
    • 課題
  • ユースケース
  • 特許分析
  • 主要コンポーネントと特性
  • エコシステム
  • サプライチェーン分析
  • 価格設定モデル分析
  • バイヤー/クライアントに影響を与える動向/ディスラプション
  • ポーターのファイブフォース分析
  • 技術分析
  • 規制の影響
  • COVID-19の影響

第6章 コンポーネント別：データサイエンスプラットフォーム市場

  • プラットホーム
  • サービス
    • マネージドサービス
    • プロフェッショナルサービス
    • コンサルティング
    • 展開、統合
    • サポート、メンテナンス

第7章 ビジネス機能別：データサイエンスプラットフォーム市場

  • マーケティング
  • セールス
  • ロジスティクス
  • 財務、会計
  • 顧客サポート
  • その他

第8章 展開モード別：データサイエンスプラットフォーム市場

  • オンプレミス
  • クラウド

第9章 組織規模別：データサイエンスプラットフォーム市場

  • 中小企業
  • 大企業

第10章 業界別：データサイエンスプラットフォーム市場

  • 銀行、金融サービス、保険
  • 電気通信、IT
  • 小売、eコマース
  • ヘルスケア、生命科学
  • 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
  • エネルギー、公益事業
  • その他

第11章 地域別：データサイエンスプラットフォーム市場

  • 北米
    • 市場の促進要因
    • COVID-19の影響
    • 規制
    • 米国
    • カナダ
  • 欧州
    • 市場の促進要因
    • COVID-19の影響
    • 規制
    • 英国
    • ドイツ
    • フランス
    • その他
  • アジア太平洋
    • 市場の促進要因
    • COVID-19の影響
    • 規制
    • 中国
    • 日本
    • インド
    • その他
  • 中東・アフリカ
    • 市場の促進要因
    • COVID-19の影響
    • 規制
    • アフリカ
    • その他
  • ラテンアメリカ
    • 市場の促進要因
    • COVID-19の影響
    • 規制
    • ブラジル
    • メキシコ
    • その他ラテンアメリカ

第12章 競合情勢

  • 概要
  • 主要企業の戦略
  • 収益分析
  • 市場シェア分析
  • 企業評価クアドラント
  • 競合ベンチマーキング
  • スタートアップ/SME評価クアドラント
  • スタートアップ/中小企業の競合ベンチマーキング
  • 競合シナリオと動向

第13章 企業プロファイル

  • 主要企業
    • IBM
    • GOOGLE
    • MICROSOFT
    • MATHWORKS
    • SAS
    • CLOUDERA
    • TERADATA
    • TIBCO
    • AWS
    • ALTERYX
    • RAPIDMINER
    • DATABRICKS
    • SNOWFLAKE
    • H2O.AI
    • ANACONDA
    • ALTAIR
  • 中小企業/スタートアップ
    • SAP
    • DOMINO DATA LAB
    • DATAIKU
    • DATAROBOT
    • APHERIS
    • COMET
    • DATABAND
    • DOTDATA
    • EXPLORIUM
    • NOOGATA
    • TECTON
    • SPELL
    • ARRIKTO
    • ITERATIVE

第14章 隣接および関連市場

  • データガバナンス市場：2025年までの予測
    • 市場の定義
    • 市場の概要
    • データディスカバリ市場：2025年までの世界予測

第15章 付録

目次
Product Code: TC 5003

The Data Science Platform market size is projected to grow from USD 95.3 billion in 2021 to 322.9 USD billion in 2026, at a Compound Annual Growth Rate (CAGR) of 27.7% during the forecast period. The Data Science Platform industry is driven by Astonishing growth of big data, however, Rising in adoption of cloud-based solutions, Rising application of the data science platform in various industries and Growing need to extract in-depth insights from voluminous data to gain competitive advantage.

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

The service segment of the Data Science Platform 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

Enterprises mostly in heavily regulated industry verticals, such as BFSI, healthcare and life sciences, and manufacturing, opt for the on-premises deployment model of the data science platform. 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 the high level of control and security. Enterprises need to purchase the license or a copy to deploy the cloud-based platform. If an organization uses on-premises storage, they might also need to have IT staff to maintain and manage servers.

Based on business function, Finance and Accounting segment to grow at a higher CAGR during the forecast period

Financial services firms and banks, for example, use financial data science: Forward-thinking banks and FinTech's improve customer service by evaluating transactional and behavioral data using various data science methods. Data science is already being used by some of the world's largest banks to acquire insights from previous customer purchases, engagements, and accounts that are most relevant to them. Investing items, insurance coverage, bank accounts, and mortgages are now the most common notices they receive. Data science is also providing insights into how well a product sells or to whom it sells, allowing financial services organizations and banks to build consumer products, policies, and investment instruments that will sell well in the future.

Based on organization size, large enterprise segment to account for a larger market size during the forecast period Most Large enterprises considered in the report are organizations with an employee size of more than or equal to 1,000. The adoption of the data science platform 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 the data science platform 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.

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

Asia Pacific (APAC) has continually presented lucrative market opportunities for Data Science Platform Solutions and service providers with a notable increase in Data Science Platform across its developed and emerging countries., Japan, China, and India have displayed ample growth opportunities in the Data Science Platform market. Owing to a rapidly proliferating technology-backed economical structure, APAC is expected to emerge as the fastest-growing region in Data Science Platform 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), Microsoft(US), SAS(US), AWS(US), MathWorks (US), Cloudera (US), Teradata (US), TIBCO (US), Alteryx (US), RapidMiner (US), Databricks (US), Snowflake (US), H2O.ai (US), Altair (US), Anaconda (US), SAP (US), Domino Data Lab (US), Dataiku (US), DataRobot (US), Apheris (Germany), Comet (US), Databand (US), dotData (US), Explorium (US), Noogata (US), Tecton (US), Spell (US), Arrikto (US), and Iterative (US).

Research coverage

The market study covers Data Science Platform across different segments. It aims at estimating the market size and the growth potential of this market across different segments, such as, by Component (Platform & Services), Business Function (Marketing, Sales, Logistics, & Customer Support), Deployment Mode, Organization Size, Industry Vertical, and Region. The regional analysis of the Data Science Platform 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 Data Science Platform 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 GLOBAL DATA SCIENCE PLATFORM 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 DATA SCIENCE PLATFORM MARKET
    • FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL SOLUTIONS/SERVICES OF THE DATA SCIENCE PLATFORM MARKET
    • FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 3, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF THE DATA SCIENCE PLATFORM MARKET
    • FIGURE 10 MARKET SIZE ESTIMATION METHODOLOGY ̶ APPROACH 3 TOP-DOWN (DEMAND SIDE): SHARE OF DATA SCIENCE PLATFORM THROUGH THE OVERALL DATA SCIENCE PLATFORM SPENDING
    • FIGURE 11 DATA SCIENCE PLATFORM 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 12 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
  • 2.5 STARTUP/SME EVALUATION MATRIX METHODOLOGY
    • FIGURE 13 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
  • 2.6 ASSUMPTIONS FOR THE STUDY
  • 2.7 LIMITATIONS OF THE STUDY

3 EXECUTIVE SUMMARY

    • TABLE 2 GLOBAL DATA SCIENCE PLATFORM MARKET SIZE AND GROWTH RATE, 2016-2020 (USD MILLION, Y-O-Y%)
    • TABLE 3 GLOBAL DATA SCIENCE PLATFORM MARKET SIZE AND GROWTH RATE, 2021-2026 (USD MILLION, Y-O-Y%)
    • FIGURE 14 DATA SCIENCE PLATFORM COMPONENT SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE IN 2021
    • FIGURE 15 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR A LARGER MARKET SHARE IN 2021
    • FIGURE 16 DEPLOYMENT AND INTEGRATION SEGMENT TO HOLD THE LARGEST MARKET SIZE IN 2021
    • FIGURE 17 LARGE ENTERPRISES SEGMENT TO ACCOUNT FOR A LARGER MARKET SHARE IN 2021
    • FIGURE 18 ON-PREMISES SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE IN 2021
    • FIGURE 19 MARKETING SEGMENT TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2021
    • FIGURE 20 HEALTHCARE AND LIFE SCIENCES INDUSTRY VERTICAL CONTRIBUTES TO THE HIGHEST MARKET REVENUE IN 2021
    • FIGURE 21 NORTH AMERICA TO BE AN EMERGING DOMINANT REGION IN TERMS OF MARKET SIZE IN 2021

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN THE DATA SCIENCE PLATFORM MARKET
    • FIGURE 22 INCREASED DIGITALIZATION AND EMERGING TECHNOLOGIES, SUCH AS BIG DATA, ML, ANALYTICS, IOT, AND AI, TO DRIVE THE MARKET GROWTH
  • 4.2 DATA SCIENCE PLATFORM MARKET: TOP THREE INDUSTRY VERTICALS
    • FIGURE 23 BFSI VERTICAL TO ACCOUNT FOR THE LARGEST MARKET SHARE DURING THE FORECAST PERIOD
  • 4.3 DATA SCIENCE PLATFORM MARKET, BY REGION
    • FIGURE 24 NORTH AMERICA TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2021
  • 4.4 NORTH AMERICA: DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION AND INDUSTRY VERTICAL
    • FIGURE 25 MARKETING BUSINESS FUNCTION AND BFSI INDUSTRY VERTICAL TO ACCOUNT FOR THE LARGEST SHARES IN THE DATA SCIENCE PLATFORM MARKET IN 2021

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 26 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: DATA SCIENCE PLATFORM MARKET
    • 5.2.1 DRIVERS
      • 5.2.1.1 Astonishing growth of big data
      • 5.2.1.2 Rising adoption of cloud-based solutions
      • 5.2.1.3 Rising application of the data science platform in various industries
      • 5.2.1.4 Growing need to extract in-depth insights from voluminous data to gain competitive advantage
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Lack of clarity on business problem
      • 5.2.2.2 Stringent government rules and regulations
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Higher inclination of enterprises toward data-intensive business strategies
      • 5.2.3.2 Rising adoption of advanced technologies
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Lack of adequately skilled workforce
      • 5.2.4.2 Data privacy, security, and reliability concerns
  • 5.3 USE CASES
    • 5.3.1 BANKING, FINANCIAL SERVICES AND INSURANCE
      • 5.3.1.1 Use Case 1: CBA uses H2O AI Cloud capabilities to generate better customer and community outcomes at a greater pace and scale
    • 5.3.2 TELECOMMUNICATION AND INFORMATION TECHNOLOGY
      • 5.3.2.1 Use Case 2: AT&T uses H2O.AI to address a broad range of use cases, from marketing and sales to network availability and maintenance
    • 5.3.3 RETAIL AND CONSUMER GOODS
      • 5.3.3.1 Use Case 3: Azure Databricks offers a Unified Data Analytics Platform for Reckitt to improve cost optimization
    • 5.3.4 GOVERNMENT AND DEFENSE
      • 5.3.4.1 Use Case 4: Project Odyssey uses SAS software for data integration and intelligent data mining of large sets of ballistics and crime information data
    • 5.3.5 MEDIA AND ENTERTAINMENT
      • 5.3.5.1 Use Case 5: Comcast uses H2O AI CLOUD to enhance customer experience
    • 5.3.6 MANUFACTURING
      • 5.3.6.1 Use Case 6: ENGIE Digital uses Amazon SageMaker for predictive maintenance at power plants
    • 5.3.7 HEALTHCARE AND LIFE SCIENCES
      • 5.3.7.1 Use Case 7: Department of Nursing uses TIBCO Data Science Software to strengthen the training process
    • 5.3.8 TRANSPORT AND LOGISTICS
      • 5.3.8.1 Use Case 8: Transport for London uses RapidMiner to aid the performance of the road network
    • 5.3.9 ENERGY AND UTILITIES
      • 5.3.9.1 Use Case 9: Blue River Analytics uses TIBCO Data Science to save time, reduce costs, and increase productivity
  • 5.4 PATENT ANALYSIS
    • 5.4.1 METHODOLOGY
    • 5.4.2 DOCUMENT TYPE
    • TABLE 4 PATENTS FILED, 2019-2022
    • 5.4.3 INNOVATION AND PATENT APPLICATIONS
    • FIGURE 27 ANNUAL NUMBER OF PATENTS GRANTED, 2018-2021
      • 5.4.3.1 Top applicants
    • FIGURE 28 TOP TEN COMPANIES WITH THE HIGHEST NUMBER OF PATENT APPLICATIONS, 2019-2022
  • 5.5 KEY COMPONENTS AND CHARACTERISTICS OF THE DATA SCIENCE PLATFORM
    • FIGURE 29 DATA SCIENCE PLATFORM
  • 5.6 DATA SCIENCE PLATFORM ECOSYSTEM
    • TABLE 5 DATA SCIENCE PLATFORM MARKET: ECOSYSTEM
  • 5.7 SUPPLY CHAIN ANALYSIS
    • FIGURE 30 SUPPLY CHAIN ANALYSIS
  • 5.8 PRICING MODEL ANALYSIS
    • TABLE 6 PRICING MODEL
  • 5.9 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS IN THE DATA SCIENCE PLATFORM MARKET
    • FIGURE 31 DATA SCIENCE PLATFORM MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
  • 5.10 PORTER'S FIVE FORCES ANALYSIS
    • FIGURE 32 DATA SCIENCE PLATFORM MARKET: PORTER'S FIVE FORCES ANALYSIS
    • TABLE 7 DATA SCIENCE PLATFORM MARKET: PORTER'S FIVE FORCES ANALYSIS
    • 5.10.1 THREAT OF NEW ENTRANTS
    • 5.10.2 THREAT OF SUBSTITUTES
    • 5.10.3 BARGAINING POWER OF SUPPLIERS
    • 5.10.4 BARGAINING POWER OF BUYERS
    • 5.10.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.11 TECHNOLOGICAL ANALYSIS
    • 5.11.1 ARTIFICIAL INTELLIGENCE
    • 5.11.2 MACHINE LEARNING
    • 5.11.3 DEEP LEARNING
    • 5.11.4 NATURAL LANGUAGE PROCESSING
    • 5.11.5 INTERNET OF THINGS
    • 5.11.6 CLOUD COMPUTING
  • 5.12 REGULATORY IMPLICATIONS
    • 5.12.1 GENERAL DATA PROTECTION REGULATION
    • 5.12.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
    • 5.12.3 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD
    • 5.12.4 SARBANES-OXLEY ACT OF 2002
    • 5.12.5 SOC 2 TYPE II COMPLIANCE
    • 5.12.6 ISO/IEC 27001
    • 5.12.7 THE GRAMM-LEACH-BLILEY ACT
  • 5.13 DATA SCIENCE PLATFORM MARKET: COVID-19 IMPACT

6 DATA SCIENCE PLATFORM MARKET, BY COMPONENT

  • 6.1 INTRODUCTION
    • 6.1.1 COVID-19 IMPACT ON THE DATA SCIENCE PLATFORM MARKET, BY COMPONENT
    • FIGURE 33 SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
    • TABLE 8 DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 9 DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 6.1.2 COMPONENTS: DATA SCIENCE PLATFORM MARKET DRIVERS
  • 6.2 PLATFORM
    • TABLE 10 PLATFORM: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 11 PLATFORM: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 6.3 SERVICES
    • FIGURE 34 MANAGED SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
    • TABLE 12 DATA SCIENCE PLATFORM MARKET, BY SERVICE, 2016-2020 (USD MILLION)
    • TABLE 13 DATA SCIENCE PLATFORM MARKET, BY SERVICE, 2021-2026 (USD MILLION)
    • TABLE 14 SERVICES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 15 SERVICES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 6.3.1 MANAGED SERVICES
    • TABLE 16 MANAGED SERVICES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 17 MANAGED SERVICES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 6.3.2 PROFESSIONAL SERVICES
    • TABLE 18 PROFESSIONAL SERVICES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 19 PROFESSIONAL SERVICES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
    • FIGURE 35 SUPPORT AND MAINTENANCE SERVICES SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 20 PROFESSIONAL SERVICES: DATA SCIENCE PLATFORM MARKET, BY TYPE, 2016-2020 (USD MILLION)
    • TABLE 21 PROFESSIONAL SERVICES: DATA SCIENCE PLATFORM MARKET, BY TYPE, 2021-2026 (USD MILLION)
    • 6.3.3 CONSULTING
    • TABLE 22 CONSULTING DATA SCIENCE PLATFORM SERVICES MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 23 CONSULTING DATA SCIENCE PLATFORM SERVICES MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 6.3.4 DEPLOYMENT AND INTEGRATION
    • TABLE 24 DEPLOYMENT AND INTEGRATION: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 25 DEPLOYMENT AND INTEGRATION: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 6.3.5 SUPPORT AND MAINTENANCE
    • TABLE 26 SUPPORT AND MAINTENANCE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 27 SUPPORT AND MAINTENANCE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)

7 DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION

  • 7.1 INTRODUCTION
    • 7.1.1 COVID-19 IMPACT ON THE DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION
    • FIGURE 36 FINANCE AND ACCOUNTING SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 28 DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
    • TABLE 29 DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
    • 7.1.2 BUSINESS FUNCTIONS: DATA SCIENCE PLATFORM MARKET DRIVERS
  • 7.2 MARKETING
    • TABLE 30 MARKETING: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 31 MARKETING: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 7.3 SALES
    • TABLE 32 SALES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 33 SALES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 7.4 LOGISTICS
    • TABLE 34 LOGISTICS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 35 LOGISTICS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 7.5 FINANCE AND ACCOUNTING
    • TABLE 36 FINANCE AND ACCOUNTING: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 37 FINANCE AND ACCOUNTING: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 7.6 CUSTOMER SUPPORT
    • TABLE 38 CUSTOMER SUPPORT: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 39 CUSTOMER SUPPORT: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 7.7 OTHER BUSINESS FUNCTIONS
    • TABLE 40 OTHER BUSINESS FUNCTIONS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 41 OTHER BUSINESS FUNCTIONS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)

8 DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE

  • 8.1 INTRODUCTION
    • 8.1.1 COVID-19 IMPACT ON THE DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE
    • FIGURE 37 CLOUD SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
    • TABLE 42 DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 43 DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • 8.1.2 DEPLOYMENT MODES: DATA SCIENCE PLATFORM MARKET DRIVERS
  • 8.2 ON-PREMISES
    • TABLE 44 ON-PREMISES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 45 ON-PREMISES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 8.3 CLOUD
    • TABLE 46 CLOUD: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 47 CLOUD: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)

9 DATA SCIENCE PLATFORM MARKET, BY ORGANIZATION SIZE

  • 9.1 INTRODUCTION
    • 9.1.1 COVID-19 IMPACT ON THE DATA SCIENCE PLATFORM MARKET, BY ORGANIZATION SIZE
    • FIGURE 38 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
    • TABLE 48 DATA SCIENCE PLATFORM MARKET, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 49 DATA SCIENCE PLATFORM MARKET, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • 9.1.2 ORGANIZATION SIZE: DATA SCIENCE PLATFORM MARKET DRIVERS
  • 9.2 SMALL AND MEDIUM-SIZED ENTERPRISES
    • TABLE 50 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 51 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 9.3 LARGE ENTERPRISES
    • TABLE 52 LARGE ENTERPRISES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 53 LARGE ENTERPRISES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)

10 DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL

  • 10.1 INTRODUCTION
    • 10.1.1 COVID-19 IMPACT ON THE DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL
    • FIGURE 39 HEALTHCARE AND LIFE SCIENCES INDUSTRY VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 54 DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL, 2016-2020 (USD MILLION)
    • TABLE 55 DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL, 2021-2026 (USD MILLION)
    • 10.1.2 INDUSTRY VERTICALS: DATA SCIENCE PLATFORM MARKET DRIVERS
  • 10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
    • TABLE 56 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 57 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 10.3 TELECOMMUNICATIONS AND IT
    • TABLE 58 TELECOMMUNICATIONS AND IT: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 59 TELECOMMUNICATIONS AND IT: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 10.4 RETAIL AND ECOMMERCE
    • TABLE 60 RETAIL AND ECOMMERCE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 61 RETAIL AND ECOMMERCE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 10.5 HEALTHCARE AND LIFE SCIENCES
    • TABLE 62 HEALTHCARE AND LIFE SCIENCES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 63 HEALTHCARE AND LIFE SCIENCES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 10.6 GOVERNMENT AND DEFENSE
    • TABLE 64 GOVERNMENT AND DEFENSE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 65 GOVERNMENT AND DEFENSE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 10.7 MEDIA AND ENTERTAINMENT
    • TABLE 66 MEDIA AND ENTERTAINMENT: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 67 MEDIA AND ENTERTAINMENT: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 10.8 MANUFACTURING
    • TABLE 68 MANUFACTURING: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 69 MANUFACTURING: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 10.9 TRANSPORTATION AND LOGISTICS
    • TABLE 70 TRANSPORTATION AND LOGISTICS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 71 TRANSPORTATION AND LOGISTICS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 10.10 ENERGY AND UTILITIES
    • TABLE 72 ENERGY AND UTILITIES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 73 ENERGY AND UTILITIES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 10.11 OTHER INDUSTRY VERTICALS
    • TABLE 74 OTHER INDUSTRY VERTICALS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 75 OTHER INDUSTRY VERTICALS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)

11 DATA SCIENCE PLATFORM MARKET, BY REGION

  • 11.1 INTRODUCTION
    • FIGURE 40 ASIA PACIFIC TO ACHIEVE THE HIGHEST GROWTH IN THE DATA SCIENCE PLATFORM MARKET DURING THE FORECAST PERIOD
    • FIGURE 41 INDIA TO ACHIEVE THE HIGHEST GROWTH IN THE DATA SCIENCE PLATFORM MARKET DURING THE FORECAST PERIOD
    • TABLE 76 DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2020 (USD MILLION)
    • TABLE 77 DATA SCIENCE PLATFORM MARKET, BY REGION, 2021-2026 (USD MILLION)
  • 11.2 NORTH AMERICA
    • 11.2.1 NORTH AMERICA: DATA SCIENCE PLATFORM 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 42 NORTH AMERICA: MARKET SNAPSHOT
    • TABLE 78 NORTH AMERICA: DATA SCIENCE PLATFORM, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 79 NORTH AMERICA: DATA SCIENCE PLATFORM, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 80 NORTH AMERICA: DATA SCIENCE PLATFORM, BY SERVICE, 2016-2020 (USD MILLION)
    • TABLE 81 NORTH AMERICA: DATA SCIENCE PLATFORM, BY SERVICE, 2021-2026 (USD MILLION)
    • TABLE 82 NORTH AMERICA: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2016-2020 (USD MILLION)
    • TABLE 83 NORTH AMERICA: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2021-2026 (USD MILLION)
    • TABLE 84 NORTH AMERICA: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 85 NORTH AMERICA: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • TABLE 86 NORTH AMERICA: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 87 NORTH AMERICA: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • TABLE 88 NORTH AMERICA: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
    • TABLE 89 NORTH AMERICA: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
    • TABLE 90 NORTH AMERICA: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2016-2020 (USD MILLION)
    • TABLE 91 NORTH AMERICA: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2021-2026 (USD MILLION)
    • TABLE 92 NORTH AMERICA: DATA SCIENCE PLATFORM, BY COUNTRY, 2016-2020 (USD MILLION)
    • TABLE 93 NORTH AMERICA: DATA SCIENCE PLATFORM, BY COUNTRY, 2021-2026 (USD MILLION)
    • 11.2.4 UNITED STATES
    • TABLE 94 UNITED STATES: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 95 UNITED STATES: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 96 UNITED STATES: DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 97 UNITED STATES: DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • 11.2.5 CANADA
    • TABLE 98 CANADA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 99 CANADA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 100 CANADA: DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 101 CANADA: DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
  • 11.3 EUROPE
    • 11.3.1 EUROPE: DATA SCIENCE PLATFORM 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
    • TABLE 102 EUROPE: DATA SCIENCE PLATFORM, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 103 EUROPE: DATA SCIENCE PLATFORM, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 104 EUROPE: DATA SCIENCE PLATFORM, BY SERVICE, 2016-2020 (USD MILLION)
    • TABLE 105 EUROPE: DATA SCIENCE PLATFORM, BY SERVICE, 2021-2026 (USD MILLION)
    • TABLE 106 EUROPE: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2016-2020 (USD MILLION)
    • TABLE 107 EUROPE: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2021-2026 (USD MILLION)
    • TABLE 108 EUROPE: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 109 EUROPE: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • TABLE 110 EUROPE: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 111 EUROPE: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • TABLE 112 EUROPE: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
    • TABLE 113 EUROPE: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
    • TABLE 114 EUROPE: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2016-2020 (USD MILLION)
    • TABLE 115 EUROPE: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2021-2026 (USD MILLION)
    • TABLE 116 EUROPE: DATA SCIENCE PLATFORM MARKET, BY COUNTRY, 2016-2020 (USD MILLION)
    • TABLE 117 EUROPE: DATA SCIENCE PLATFORM MARKET, BY COUNTRY, 2021-2026 (USD MILLION)
    • 11.3.4 UNITED KINGDOM
    • TABLE 118 UNITED KINGDOM: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 119 UNITED KINGDOM: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.3.5 GERMANY
    • TABLE 120 GERMANY: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 121 GERMANY: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.3.6 FRANCE
    • TABLE 122 FRANCE: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 123 FRANCE: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.3.7 REST OF EUROPE
    • TABLE 124 REST OF EUROPE: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 125 REST OF EUROPE: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
  • 11.4 ASIA PACIFIC
    • 11.4.1 ASIA PACIFIC: DATA SCIENCE PLATFORM 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 43 ASIA PACIFIC: MARKET SNAPSHOT
    • TABLE 126 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 127 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 128 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY SERVICE, 2016-2020 (USD MILLION)
    • TABLE 129 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY SERVICE, 2021-2026 (USD MILLION)
    • TABLE 130 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2016-2020 (USD MILLION)
    • TABLE 131 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2021-2026 (USD MILLION)
    • TABLE 132 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 133 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • TABLE 134 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 135 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • TABLE 136 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
    • TABLE 137 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
    • TABLE 138 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2016-2020 (USD MILLION)
    • TABLE 139 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2021-2026 (USD MILLION)
    • TABLE 140 ASIA PACIFIC: DATA SCIENCE PLATFORM MARKET, BY COUNTRY/REGION, 2016-2020 (USD MILLION)
    • TABLE 141 ASIA PACIFIC: DATA SCIENCE PLATFORM MARKET, BY COUNTRY/REGION, 2021-2026 (USD MILLION)
    • 11.4.4 CHINA
    • TABLE 142 CHINA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 143 CHINA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.4.5 JAPAN
    • TABLE 144 JAPAN: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 145 JAPAN: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.4.6 INDIA
    • TABLE 146 INDIA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 147 INDIA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.4.7 REST OF ASIA PACIFIC
    • TABLE 148 REST OF ASIA PACIFIC: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 149 REST OF ASIA PACIFIC: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
  • 11.5 MIDDLE EAST AND AFRICA
    • 11.5.1 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM MARKET DRIVERS
    • 11.5.2 MIDDLE EAST AND AFRICA: COVID-19 IMPACT
    • 11.5.3 MIDDLE EAST AND 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 Protection of Personal Information Act (POPIA)
    • TABLE 150 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 151 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 152 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY SERVICE, 2016-2020 (USD MILLION)
    • TABLE 153 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY SERVICE, 2021-2026 (USD MILLION)
    • TABLE 154 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2016-2020 (USD MILLION)
    • TABLE 155 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2021-2026 (USD MILLION)
    • TABLE 156 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 157 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • TABLE 158 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 159 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • TABLE 160 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
    • TABLE 161 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
    • TABLE 162 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2016-2020 (USD MILLION)
    • TABLE 163 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2021-2026 (USD MILLION)
    • TABLE 164 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM MARKET, BY COUNTRY/REGION, 2016-2020 (USD MILLION)
    • TABLE 165 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM MARKET, BY COUNTRY/REGION, 2021-2026 (USD MILLION)
    • 11.5.4 MIDDLE EAST
    • TABLE 166 MIDDLE EAST: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 167 MIDDLE EAST: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.5.5 AFRICA
    • TABLE 168 AFRICA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 169 AFRICA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.5.6 REST OF THE MIDDLE EAST AND AFRICA
  • 11.6 LATIN AMERICA
    • 11.6.1 LATIN AMERICA: DATA SCIENCE PLATFORM 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 170 LATIN AMERICA: DATA SCIENCE PLATFORM, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 171 LATIN AMERICA: DATA SCIENCE PLATFORM, BY COMPONENT, 2021-2026 (USD MILLION)
    • TABLE 172 LATIN AMERICA: DATA SCIENCE PLATFORM, BY SERVICE, 2016-2020 (USD MILLION)
    • TABLE 173 LATIN AMERICA: DATA SCIENCE PLATFORM, BY SERVICE, 2021-2026 (USD MILLION)
    • TABLE 174 LATIN AMERICA: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2016-2020 (USD MILLION)
    • TABLE 175 LATIN AMERICA: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2021-2026 (USD MILLION)
    • TABLE 176 LATIN AMERICA: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
    • TABLE 177 LATIN AMERICA: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
    • TABLE 178 LATIN AMERICA: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
    • TABLE 179 LATIN AMERICA: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
    • TABLE 180 LATIN AMERICA: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
    • TABLE 181 LATIN AMERICA: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
    • TABLE 182 LATIN AMERICA: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2016-2020 (USD MILLION)
    • TABLE 183 LATIN AMERICA: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2021-2026 (USD MILLION)
    • TABLE 184 LATIN AMERICA: DATA SCIENCE PLATFORM MARKET, BY COUNTRY/REGION, 2016-2020 (USD MILLION)
    • TABLE 185 LATIN AMERICA: DATA SCIENCE PLATFORM MARKET, BY COUNTRY/REGION, 2021-2026 (USD MILLION)
    • 11.6.4 BRAZIL
    • TABLE 186 BRAZIL: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 187 BRAZIL: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.6.5 MEXICO
    • TABLE 188 MEXICO: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 189 MEXICO: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
    • 11.6.6 REST OF LATIN AMERICA
    • TABLE 190 REST OF LATIN AMERICA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
    • TABLE 191 REST OF LATIN AMERICA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021-2026 (USD MILLION)

12 COMPETITIVE LANDSCAPE

  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES
  • 12.3 REVENUE ANALYSIS
    • FIGURE 44 REVENUE ANALYSIS FOR KEY COMPANIES IN THE PAST FIVE YEARS
  • 12.4 MARKET SHARE ANALYSIS
    • FIGURE 45 MARKET SHARE ANALYSIS FOR KEY COMPANIES
    • TABLE 192 DATA SCIENCE PLATFORM MARKET: DEGREE OF COMPETITION
  • 12.5 COMPANY EVALUATION QUADRANT
    • 12.5.1 STARS
    • 12.5.2 EMERGING LEADERS
    • 12.5.3 PERVASIVE
    • 12.5.4 PARTICIPANT
    • FIGURE 46 KEY DATA SCIENCE PLATFORM MARKET PLAYERS, COMPANY EVALUATION QUADRANT, 2021
  • 12.6 COMPETITIVE BENCHMARKING
    • 12.6.1 COMPANY PRODUCT FOOTPRINT
    • TABLE 193 COMPANY PRODUCT FOOTPRINT
    • 12.6.2 COMPANY REGION FOOTPRINT
    • TABLE 194 COMPANY REGION FOOTPRINT
    • TABLE 195 DATA SCIENCE PLATFORM MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS
    • TABLE 196 DATA SCIENCE PLATFORM MARKET: DETAILED LIST OF KEY PLAYERS
  • 12.7 STARTUP/SME EVALUATION QUADRANT
    • 12.7.1 PROGRESSIVE COMPANIES
    • 12.7.2 RESPONSIVE COMPANIES
    • 12.7.3 DYNAMIC COMPANIES
    • 12.7.4 STARTING BLOCKS
    • FIGURE 47 STARTUP/SME DATA SCIENCE PLATFORM MARKET EVALUATION QUADRANT, 2021
  • 12.8 STARTUP/SME COMPETITIVE BENCHMARKING
    • 12.8.1 COMPANY PRODUCT FOOTPRINT
    • TABLE 197 STARTUP/SME COMPANY OFFERING FOOTPRINT
    • 12.8.2 COMPANY REGION FOOTPRINT
    • TABLE 198 STARTUP/SME COMPANY REGION FOOTPRINT
    • TABLE 199 DATA SCIENCE PLATFORM MARKET: DETAILED LIST OF KEYS STARTUP/SMES
    • TABLE 200 DATA SCIENCE PLATFORM MARKET COMPETITIVE BENCHMARKING OF KEY STARTUP/SMES
  • 12.9 COMPETITIVE SCENARIO AND TRENDS
    • 12.9.1 PRODUCT LAUNCHES
    • TABLE 201 DATA SCIENCE PLATFORM MARKET: PRODUCT LAUNCHES, APRIL 2020- FEBRUARY 2022
    • 12.9.2 DEALS
    • TABLE 202 DATA SCIENCE PLATFORM MARKET: DEALS, FEBRUARY 2019-FEBRUARY 2022

13 COMPANY PROFILES

  • 13.1 INTRODUCTION
  • 13.2 MAJOR PLAYERS

(Business Overview, Products & Services, Key Insights, Recent Developments, COVID-19 Related Developmets, MnM View)**

    • 13.2.1 IBM
    • TABLE 203 IBM: BUSINESS OVERVIEW
    • FIGURE 48 IBM: COMPANY SNAPSHOT
    • TABLE 204 IBM: PRODUCTS OFFERED
    • TABLE 205 IBM: SERVICES OFFERED
    • TABLE 206 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 207 IBM: DEALS
    • 13.2.2 GOOGLE
    • TABLE 208 GOOGLE: BUSINESS OVERVIEW
    • FIGURE 49 GOOGLE: COMPANY SNAPSHOT
    • TABLE 209 GOOGLE: PRODUCTS OFFERED
    • TABLE 210 GOOGLE: SERVICES OFFERED
    • TABLE 211 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 212 GOOGLE: DEALS
    • 13.2.3 MICROSOFT
    • TABLE 213 MICROSOFT: BUSINESS OVERVIEW
    • FIGURE 50 MICROSOFT: COMPANY SNAPSHOT
    • TABLE 214 MICROSOFT: PRODUCTS OFFERED
    • TABLE 215 MICROSOFT: SERVICES OFFERED
    • TABLE 216 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 217 MICROSOFT: DEALS
    • 13.2.4 MATHWORKS
    • TABLE 218 MATHWORKS: BUSINESS OVERVIEW
    • TABLE 219 MATHWORKS: PRODUCTS OFFERED
    • TABLE 220 MATHWORKS: SERVICES OFFERED
    • TABLE 221 MATHWORKS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 222 MATHWORKS: DEALS
    • 13.2.5 SAS
    • TABLE 223 SAS: BUSINESS OVERVIEW
    • FIGURE 51 SAS: COMPANY SNAPSHOT
    • TABLE 224 SAS: PRODUCTS OFFERED
    • TABLE 225 SAS: SERVICES OFFERED
    • TABLE 226 SAS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 227 SAS: DEALS
    • 13.2.6 CLOUDERA
    • TABLE 228 CLOUDERA: BUSINESS OVERVIEW
    • FIGURE 52 CLOUDERA: COMPANY SNAPSHOT
    • TABLE 229 CLOUDERA: PRODUCTS OFFERED
    • TABLE 230 CLOUDERA: SERVICES OFFERED
    • TABLE 231 CLOUDERA: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 232 CLOUDERA: DEALS
    • 13.2.7 TERADATA
    • TABLE 233 TERADATA: BUSINESS OVERVIEW
    • FIGURE 53 TERADATA: COMPANY SNAPSHOT
    • TABLE 234 TERADATA: PRODUCTS OFFERED
    • TABLE 235 TERADATA: SERVICES OFFERED
    • TABLE 236 TERADATA: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 237 TERADATA: DEALS
    • 13.2.8 TIBCO
    • TABLE 238 TIBCO: BUSINESS OVERVIEW
    • TABLE 239 TIBCO: PRODUCTS OFFERED
    • TABLE 240 TIBCO: SERVICES OFFERED
    • TABLE 241 TIBCO: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 242 TIBCO: DEALS
    • 13.2.9 AWS
    • TABLE 243 AWS: BUSINESS OVERVIEW
    • FIGURE 54 AWS: COMPANY SNAPSHOT
    • TABLE 244 AWS: PRODUCTS OFFERED
    • TABLE 245 AWS: SERVICES OFFERED
    • TABLE 246 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 247 AWS: DEALS
    • 13.2.10 ALTERYX
    • TABLE 248 ALTERYX: BUSINESS OVERVIEW
    • FIGURE 55 ALTERYX: COMPANY SNAPSHOT
    • TABLE 249 ALTERYX: PRODUCTS OFFERED
    • TABLE 250 ALTERYX: SERVICES OFFERED
    • TABLE 251 ALTERYX: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 252 ALTERYX: DEALS
    • 13.2.11 RAPIDMINER
    • TABLE 253 RAPIDMINER: BUSINESS OVERVIEW
    • TABLE 254 RAPIDMINER: PRODUCTS OFFERED
    • TABLE 255 RAPIDMINER: SERVICES OFFERED
    • TABLE 256 RAPIDMINER: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 257 RAPIDMINER: DEALS
    • 13.2.12 DATABRICKS
    • TABLE 258 DATABRICKS: BUSINESS OVERVIEW
    • TABLE 259 DATABRICKS: PRODUCTS OFFERED
    • TABLE 260 DATABRICKS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 261 DATABRICKS: DEALS
    • 13.2.13 SNOWFLAKE
    • TABLE 262 SNOWFLAKE: BUSINESS OVERVIEW
    • FIGURE 56 SNOWFLAKE: COMPANY SNAPSHOT
    • TABLE 263 SNOWFLAKE: SOLUTIONS OFFERED
    • TABLE 264 SNOWFLAKE: SERVICES OFFERED
    • TABLE 265 SNOWFLAKE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 266 SNOWFLAKE: DEALS
    • 13.2.14 H2O.AI
    • TABLE 267 H2O.AI: BUSINESS OVERVIEW
    • TABLE 268 H2O.AI: PRODUCTS OFFERED
    • TABLE 269 H2O.AI: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 270 H2O.AI: DEALS
    • 13.2.15 ANACONDA
    • TABLE 271 ANACONDA: BUSINESS OVERVIEW
    • TABLE 272 ANACONDA: PRODUCTS OFFERED
    • TABLE 273 ANACONDA: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 274 ANACONDA: DEALS
    • 13.2.16 ALTAIR
    • TABLE 275 ALTAIR: BUSINESS OVERVIEW
    • FIGURE 57 ALTAIR: COMPANY SNAPSHOT
    • TABLE 276 ALTAIR: PRODUCTS OFFERED
    • TABLE 277 ALTAIR: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 278 ALTAIR: 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 SAP
    • 13.3.2 DOMINO DATA LAB
    • 13.3.3 DATAIKU
    • 13.3.4 DATAROBOT
    • 13.3.5 APHERIS
    • 13.3.6 COMET
    • 13.3.7 DATABAND
    • 13.3.8 DOTDATA
    • 13.3.9 EXPLORIUM
    • 13.3.10 NOOGATA
    • 13.3.11 TECTON
    • 13.3.12 SPELL
    • 13.3.13 ARRIKTO
    • 13.3.14 ITERATIVE

14 ADJACENT AND RELATED MARKETS

  • 14.1 DATA GOVERNANCE MARKET-GLOBAL FORECAST TO 2025
    • 14.1.1 MARKET DEFINITION
    • 14.1.2 MARKETS OVERVIEW
      • 14.1.2.1 Data governance market, by application
    • TABLE 279 DATA GOVERNANCE MARKET SIZE, BY APPLICATION, 2014-2019 (USD MILLION)
    • TABLE 280 DATA GOVERNANCE MARKET SIZE, BY APPLICATION, 2019-2025 (USD MILLION)
      • 14.1.2.2 Data governance market, by component
    • TABLE 281 DATA GOVERNANCE MARKET SIZE, BY COMPONENT, 2014-2019 (USD MILLION)
    • TABLE 282 DATA GOVERNANCE MARKET SIZE, BY COMPONENT, 2019-2025 (USD MILLION)
      • 14.1.2.3 Data governance market, by deployment model
    • TABLE 283 DATA GOVERNANCE MARKET SIZE, BY DEPLOYMENT MODEL, 2014-2019 (USD MILLION)
    • TABLE 284 DATA GOVERNANCE MARKET SIZE, BY DEPLOYMENT MODEL, 2019-2025 (USD MILLION)
      • 14.1.2.4 Data governance market, by organization size
    • TABLE 285 DATA GOVERNANCE MARKET SIZE, BY ORGANIZATION SIZE, 2014-2019 (USD MILLION)
    • TABLE 286 DATA GOVERNANCE MARKET SIZE, BY ORGANIZATION SIZE, 2019-2025 (USD MILLION)
      • 14.1.2.5 Data governance market, by vertical
    • TABLE 287 DATA GOVERNANCE MARKET SIZE, BY VERTICAL, 2014-2019 (USD MILLION)
    • TABLE 288 DATA GOVERNANCE MARKET SIZE, BY VERTICAL, 2019-2025 (USD MILLION)
      • 14.1.2.6 Data governance market, by region
    • TABLE 289 DATA GOVERNANCE MARKET SIZE, BY REGION, 2014-2019 (USD MILLION)
    • TABLE 290 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 291 DATA DISCOVERY MARKET SIZE, BY COMPONENT, 2014-2019 (USD MILLION)
    • TABLE 292 DATA DISCOVERY MARKET SIZE, BY COMPONENT, 2019-2025 (USD MILLION)
    • TABLE 293 DATA DISCOVERY MARKET SIZE, BY SERVICE,2014-2019 (USD MILLION)
    • TABLE 294 DATA DISCOVERY MARKET SIZE, BY SERVICE, 2019-2025 (USD MILLION)
    • TABLE 295 PROFESSIONAL SERVICES: DATA DISCOVERY MARKET SIZE, BY TYPE, 2014-2019 (USD MILLION)
    • TABLE 296 PROFESSIONAL SERVICES: DATA DISCOVERY MARKET SIZE, BY TYPE, 2019-2025 (USD MILLION)
      • 14.1.3.4 Data discovery market, by organization size
    • TABLE 297 DATA DISCOVERY MARKET SIZE, BY ORGANIZATION SIZE, 2014-2019 (USD MILLION)
    • TABLE 298 DATA DISCOVERY MARKET SIZE, BY ORGANIZATION SIZE, 2019-2025 (USD MILLION)
      • 14.1.3.5 Data discovery market, by deployment mode
    • TABLE 299 DATA DISCOVERY MARKET SIZE, BY DEPLOYMENT MODE, 2014-2019 (USD MILLION)
    • TABLE 300 DATA DISCOVERY MARKET SIZE, BY DEPLOYMENT MODE, 2019-2025 (USD MILLION)
    • TABLE 301 CLOUD: DATA DISCOVERY MARKET SIZE, BY TYPE, 2014-2019 (USD MILLION)
    • TABLE 302 CLOUD: DATA DISCOVERY MARKET SIZE, BY TYPE, 2019-2025 (USD MILLION)
      • 14.1.3.6 Data discovery market, by functionality
    • TABLE 303 DATA DISCOVERY MARKET SIZE, BY FUNCTIONALITY, 2014-2019 (USD MILLION)
    • TABLE 304 DATA DISCOVERY MARKET SIZE, BY FUNCTIONALITY, 2019-2025 (USD MILLION)
      • 14.1.3.7 Data discovery market, by application
    • TABLE 305 DATA DISCOVERY MARKET SIZE, BY APPLICATION, 2014-2019 (USD MILLION)
    • TABLE 306 DATA DISCOVERY MARKET SIZE, BY APPLICATION, 2019-2025 (USD MILLION)
      • 14.1.3.8 Data discovery market, by vertical
    • TABLE 307 DATA DISCOVERY MARKET SIZE, BY VERTICAL, 2014-2019 (USD MILLION)
    • TABLE 308 DATA DISCOVERY MARKET SIZE, BY VERTICAL, 2019-2025 (USD MILLION)
      • 14.1.3.9 Data discovery market, by region
    • TABLE 309 DATA DISCOVERY MARKET SIZE, BY REGION, 2014-2019 (USD MILLION)
    • TABLE 310 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