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データサイエンスプラットフォーム市場、COVID-19によるインパクト分析:コンポーネント別(プラットフォーム&サービス)、ビジネス機能別(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、産業分野、地域別 - 2026年までの世界市場予測


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 to 2026

データサイエンスプラットフォームの市場規模は、2021年の953億米ドルから2026年には3229億米ドルに拡大し、予測期間中の年平均成長率(CAGR)は27.7%と予測されています。データサイエンスプラットフォーム業界... もっと見る

 

 

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MarketsandMarkets
マーケッツアンドマーケッツ
2022年3月9日 US$4,950
シングルユーザライセンス
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351 367 英語

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サマリー

データサイエンスプラットフォームの市場規模は、2021年の953億米ドルから2026年には3229億米ドルに拡大し、予測期間中の年平均成長率(CAGR)は27.7%と予測されています。データサイエンスプラットフォーム業界は、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適用の増加、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。
コンポーネント別では、サービス分野が予測期間中に高いCAGRで成長すると予想されます。
データサイエンスプラットフォーム市場のサービスセグメントは、さらにプロフェッショナルサービス(コンサルティング、サポート・メンテナンス、導入・統合)とマネージドサービスに分類されます。ここでは、各サービスのサブセグメントの市場規模や成長率について、タイプ別(一部のサブセグメントを対象)、地域別に解説しています。
導入形態別では、オンプレミス型が予測期間中、より大きな市場規模を占めると予測される。
BFSI、ヘルスケア、ライフサイエンス、製造業など、規制の厳しい業界の企業は、データサイエンスプラットフォームのオンプレミス型展開モデルを選択することがほとんどです。十分なITリソースを持つ大企業は、オンプレミスの導入モデルを選ぶと予想されます。オンプレミスは最も信頼性の高い導入形態であり、企業は高度な管理とセキュリティに依存することができます。クラウドベースのプラットフォームを導入するには、ライセンスまたはコピーを購入する必要があります。また、オンプレミス型ストレージを使用する場合、サーバーを維持・管理するためのITスタッフが必要になる場合があります。
ビジネス機能別では、財務・会計分野が予測期間中に高い年平均成長率を記録
金融サービス企業や銀行などは、金融データサイエンスを利用しています。先進的な銀行やFinTechは、様々なデータサイエンスの手法を用いて取引データや行動データを評価することで、顧客サービスを向上させています。データサイエンスは、すでに世界最大の銀行の一部で、顧客の過去の購入、関与、口座から最も関連性の高いインサイトを取得するために使用されています。投資項目、保険加入、銀行口座、住宅ローンなどは、現在、彼らが受け取る最も一般的な通知である。また、データサイエンスは、商品がどれだけ売れるか、あるいは誰に売れるかについての洞察を提供し、金融サービス機関や銀行が将来的によく売れる消費者向け商品、保険、投資手段を構築することを可能にしています。

組織規模に基づき、予測期間中は大企業セグメントがより大きな市場規模を占める 報告書で考慮する大企業の多くは、従業員規模が1,000人以上の組織である。大企業におけるデータサイエンスプラットフォームの採用率は、クラウドの導入が進みつつあることから高く、この傾向は予測期間中も継続すると予想されます。大企業は膨大なデータの塊を蓄積しており、それは顧客基盤の広さに起因していると考えられます。大企業では、データが組織の全体的なパフォーマンスを評価する上で大きな役割を担っています。大企業では、ソーシャルメディアのフィードやセンサー、カメラなど、さまざまなソースから得られるデータサイエンス・プラットフォームを活用していますが、各レコードは、他のデータとの関係や時間的順序を保持する方法で処理される必要があります。
APACは予測期間中に高いCAGRで成長すると予想される
アジア太平洋地域(APAC)は、先進国および新興国においてデータサイエンスプラットフォームが顕著に増加しており、データサイエンスプラットフォームソリューションおよびサービスプロバイダーにとって有利な市場機会を継続的に提示しています。技術に裏打ちされた経済構造が急速に普及していることから、APACは予測期間中にデータサイエンス・プラットフォームのソフトウェアおよびサービス需要において最も急成長する地域として浮上することが予想されます。
主な回答者の内訳は以下の通りです。
- 企業タイプ別企業タイプ別:Tier 1 34%、Tier 2 43%、Tier 3 23
- 役職別Cレベル:50%、ディレクター:30%、その他:20
- 地域別北米30%、欧州30%、APAC25%、MEA10%、中南米5%。
本調査で紹介した著名なプレイヤーには、IBM(米国)、Google(米国)、Microsoft(米国)、SAS(米国)、AWS(米国)、MathWorks(米国)、Cloudera(米国)、Teradata(米国)、TIBCO(米国)、Alteryx(米国)、RapidMiner(米国)、Databricks(米国)、Snowflake(米国)、H2O.A(米国)が含まれます。ai(米)、Altair(米)、Anaconda(米)、SAP(米)、Domino Data Lab(米)、Dataiku(米)、DataRobot(米)、Apheris(独)、Comet(米)、Databand(米)、dotData(米)、Explorium(米)、Noogata(米)、Tecton(米)、Spell(米)、Arrikto(米)、Iterative(米)です。
調査対象
この市場調査は、異なるセグメントにわたるデータサイエンスプラットフォームを対象としています。コンポーネント別(プラットフォーム&サービス)、ビジネス機能別(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)、展開形態、組織規模、産業分野、地域など、さまざまなセグメントにおける市場規模や成長性を推定することを目的としています。データサイエンスプラットフォームの地域別分析では、北米、ヨーロッパ、APAC、MEA、ラテンアメリカを対象としています。
また、本調査では、主要な市場参加者の詳細な競合分析、会社概要、製品および事業の提供に関する主な見解、最近の開発状況、主要な市場戦略も掲載しています。

本レポートを購入する主なメリット
当レポートは、データサイエンスプラットフォーム全体とそのセグメントの収益数の最も近い近似値に関する情報を提供することで、この市場における市場リーダー/新規参入者の助けとなることが期待されます。また、本レポートは、利害関係者が競争環境を理解し、自社のビジネスのポジションを向上させ、適切な市場参入戦略を計画するための洞察を得るのに役立つと期待されます。また、当レポートは、利害関係者が市場の鼓動を理解し、主要な市場促進要因、阻害要因、課題、および機会に関する情報を提供することを目的としています。

 

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Summary

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.



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Table of Contents

1 INTRODUCTION 30
1.1 INTRODUCTION TO COVID-19 30
1.2 COVID-19 HEALTH ASSESSMENT 30
FIGURE 1 COVID-19: GLOBAL PROPAGATION 30
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES 31
1.3 COVID-19 ECONOMIC ASSESSMENT 31
FIGURE 3 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020 32
1.3.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT 32
FIGURE 4 CRITERIA IMPACTING THE GLOBAL ECONOMY 33
FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF THE GLOBAL ECONOMY 34
1.4 OBJECTIVES OF THE STUDY 35
1.5 MARKET DEFINITION 35
1.5.1 INCLUSIONS AND EXCLUSIONS 36
1.6 MARKET SCOPE 36
1.6.1 MARKET SEGMENTATION 37
1.6.2 REGIONS COVERED 37
1.6.3 YEARS CONSIDERED FOR THE STUDY 38
1.7 CURRENCY CONSIDERED 38
TABLE 1 USD EXCHANGE RATE, 2018–2021 38
1.8 STAKEHOLDERS 39
1.9 SUMMARY OF CHANGES 39
2 RESEARCH METHODOLOGY 40
2.1 RESEARCH DATA 40
FIGURE 6 GLOBAL DATA SCIENCE PLATFORM MARKET: RESEARCH DESIGN 40
2.1.1 SECONDARY DATA 41
2.1.2 PRIMARY DATA 41
2.1.2.1 Breakup of primary profiles 42
2.1.2.2 Key industry insights 42
2.2 MARKET BREAKUP AND DATA TRIANGULATION 43
2.3 MARKET SIZE ESTIMATION 44
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES OF THE DATA SCIENCE PLATFORM MARKET 44
FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL SOLUTIONS/SERVICES OF 
THE DATA SCIENCE PLATFORM MARKET 44
FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 3, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF THE DATA SCIENCE PLATFORM MARKET 45
FIGURE 10 MARKET SIZE ESTIMATION METHODOLOGY ̶ APPROACH 3 TOP-DOWN (DEMAND SIDE): SHARE OF DATA SCIENCE PLATFORM THROUGH THE OVERALL DATA SCIENCE PLATFORM SPENDING 46
FIGURE 11 DATA SCIENCE PLATFORM MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 47
2.3.1 TOP-DOWN APPROACH 47
2.3.2 BOTTOM-UP APPROACH 47
2.4 COMPANY EVALUATION MATRIX 48
FIGURE 12 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 48
2.5 STARTUP/SME EVALUATION MATRIX METHODOLOGY 49
FIGURE 13 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE 49
2.6 ASSUMPTIONS FOR THE STUDY 49
2.7 LIMITATIONS OF THE STUDY 51
3 EXECUTIVE SUMMARY 52
TABLE 2 GLOBAL DATA SCIENCE PLATFORM MARKET SIZE AND GROWTH RATE, 2016–2020 (USD MILLION, Y-O-Y%) 53
TABLE 3 GLOBAL DATA SCIENCE PLATFORM MARKET SIZE AND GROWTH RATE, 2021–2026 (USD MILLION, Y-O-Y%) 53
FIGURE 14 DATA SCIENCE PLATFORM COMPONENT SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE IN 2021 54
FIGURE 15 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR A LARGER MARKET SHARE IN 2021 54
FIGURE 16 DEPLOYMENT AND INTEGRATION SEGMENT TO HOLD THE LARGEST MARKET SIZE IN 2021 55
FIGURE 17 LARGE ENTERPRISES SEGMENT TO ACCOUNT FOR A LARGER MARKET SHARE IN 2021 55
FIGURE 18 ON-PREMISES SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE IN 2021 56
FIGURE 19 MARKETING SEGMENT TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2021 56
FIGURE 20 HEALTHCARE AND LIFE SCIENCES INDUSTRY VERTICAL CONTRIBUTES TO THE HIGHEST MARKET REVENUE IN 2021 57
FIGURE 21 NORTH AMERICA TO BE AN EMERGING DOMINANT REGION IN TERMS OF MARKET SIZE IN 2021 57
4 PREMIUM INSIGHTS 58
4.1 ATTRACTIVE OPPORTUNITIES IN THE DATA SCIENCE PLATFORM MARKET 58
FIGURE 22 INCREASED DIGITALIZATION AND EMERGING TECHNOLOGIES, SUCH AS BIG DATA, ML, ANALYTICS, IOT, AND AI, TO DRIVE THE MARKET GROWTH 58
4.2 DATA SCIENCE PLATFORM MARKET: TOP THREE INDUSTRY VERTICALS 58
FIGURE 23 BFSI VERTICAL TO ACCOUNT FOR THE LARGEST MARKET SHARE DURING THE FORECAST PERIOD 58
4.3 DATA SCIENCE PLATFORM MARKET, BY REGION 59
FIGURE 24 NORTH AMERICA TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2021 59
4.4 NORTH AMERICA: DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION AND INDUSTRY VERTICAL 60
FIGURE 25 MARKETING BUSINESS FUNCTION AND BFSI INDUSTRY VERTICAL TO ACCOUNT FOR THE LARGEST SHARES IN THE DATA SCIENCE PLATFORM MARKET IN 2021 60
5 MARKET OVERVIEW AND INDUSTRY TRENDS 61
5.1 INTRODUCTION 61
5.2 MARKET DYNAMICS 61
FIGURE 26 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: DATA SCIENCE PLATFORM MARKET 61
5.2.1 DRIVERS 62
5.2.1.1 Astonishing growth of big data 62
5.2.1.2 Rising adoption of cloud-based solutions 62
5.2.1.3 Rising application of the data science platform in various industries 63
5.2.1.4 Growing need to extract in-depth insights from voluminous data to gain competitive advantage 63
5.2.2 RESTRAINTS 63
5.2.2.1 Lack of clarity on business problem 63
5.2.2.2 Stringent government rules and regulations 63
5.2.3 OPPORTUNITIES 64
5.2.3.1 Higher inclination of enterprises toward data-intensive business strategies 64
5.2.3.2 Rising adoption of advanced technologies 64
5.2.4 CHALLENGES 65
5.2.4.1 Lack of adequately skilled workforce 65
5.2.4.2 Data privacy, security, and reliability concerns 65
5.3 USE CASES 65
5.3.1 BANKING, FINANCIAL SERVICES AND INSURANCE 65
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 65
5.3.2 TELECOMMUNICATION AND INFORMATION TECHNOLOGY 66
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 66
5.3.3 RETAIL AND CONSUMER GOODS 67
5.3.3.1 Use Case 3: Azure Databricks offers a Unified Data Analytics Platform for Reckitt to improve cost optimization 67
5.3.4 GOVERNMENT AND DEFENSE 68
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 68
5.3.5 MEDIA AND ENTERTAINMENT 68
5.3.5.1 Use Case 5: Comcast uses H2O AI CLOUD to enhance customer experience 68
5.3.6 MANUFACTURING 69
5.3.6.1 Use Case 6: ENGIE Digital uses Amazon SageMaker for predictive maintenance at power plants 69
5.3.7 HEALTHCARE AND LIFE SCIENCES 69
5.3.7.1 Use Case 7: Department of Nursing uses TIBCO Data Science Software to strengthen the training process 69
5.3.8 TRANSPORT AND LOGISTICS 70
5.3.8.1 Use Case 8: Transport for London uses RapidMiner to aid the performance of the road network 70
5.3.9 ENERGY AND UTILITIES 71
5.3.9.1 Use Case 9: Blue River Analytics uses TIBCO Data Science to save time, reduce costs, and increase productivity 71
5.4 PATENT ANALYSIS 71
5.4.1 METHODOLOGY 71
5.4.2 DOCUMENT TYPE 71
TABLE 4 PATENTS FILED, 2019–2022 71
5.4.3 INNOVATION AND PATENT APPLICATIONS 72
FIGURE 27 ANNUAL NUMBER OF PATENTS GRANTED, 2018–2021 72
5.4.3.1 Top applicants 72
FIGURE 28 TOP TEN COMPANIES WITH THE HIGHEST NUMBER OF PATENT APPLICATIONS, 2019–2022 72
5.5 KEY COMPONENTS AND CHARACTERISTICS OF THE DATA SCIENCE PLATFORM 73
FIGURE 29 DATA SCIENCE PLATFORM 73
5.6 DATA SCIENCE PLATFORM ECOSYSTEM 73
TABLE 5 DATA SCIENCE PLATFORM MARKET: ECOSYSTEM 73
5.7 SUPPLY CHAIN ANALYSIS 75
FIGURE 30 SUPPLY CHAIN ANALYSIS 75
5.8 PRICING MODEL ANALYSIS 76
TABLE 6 PRICING MODEL 76
5.9 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS IN THE DATA SCIENCE PLATFORM MARKET 77
FIGURE 31 DATA SCIENCE PLATFORM MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS 77
5.10 PORTER’S FIVE FORCES ANALYSIS 78
FIGURE 32 DATA SCIENCE PLATFORM MARKET: PORTER’S FIVE FORCES ANALYSIS 78
TABLE 7 DATA SCIENCE PLATFORM MARKET: PORTER’S FIVE FORCES ANALYSIS 78
5.10.1 THREAT OF NEW ENTRANTS 79
5.10.2 THREAT OF SUBSTITUTES 79
5.10.3 BARGAINING POWER OF SUPPLIERS 79
5.10.4 BARGAINING POWER OF BUYERS 79
5.10.5 INTENSITY OF COMPETITIVE RIVALRY 80
5.11 TECHNOLOGICAL ANALYSIS 80
5.11.1 ARTIFICIAL INTELLIGENCE 80
5.11.2 MACHINE LEARNING 80
5.11.3 DEEP LEARNING 81
5.11.4 NATURAL LANGUAGE PROCESSING 81
5.11.5 INTERNET OF THINGS 81
5.11.6 CLOUD COMPUTING 81
5.12 REGULATORY IMPLICATIONS 82
5.12.1 GENERAL DATA PROTECTION REGULATION 82
5.12.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT 82
5.12.3 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD 82
5.12.4 SARBANES-OXLEY ACT OF 2002 82
5.12.5 SOC 2 TYPE II COMPLIANCE 83
5.12.6 ISO/IEC 27001 83
5.12.7 THE GRAMM–LEACH–BLILEY ACT 83
5.13 DATA SCIENCE PLATFORM MARKET: COVID-19 IMPACT 83
6 DATA SCIENCE PLATFORM MARKET, BY COMPONENT 84
6.1 INTRODUCTION 85
6.1.1 COVID-19 IMPACT ON THE DATA SCIENCE PLATFORM MARKET, BY COMPONENT 85
FIGURE 33 SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 86
TABLE 8 DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 86
TABLE 9 DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 86
6.1.2 COMPONENTS: DATA SCIENCE PLATFORM MARKET DRIVERS 86
6.2 PLATFORM 87
TABLE 10 PLATFORM: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 87
TABLE 11 PLATFORM: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 88
6.3 SERVICES 88
FIGURE 34 MANAGED SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 89
TABLE 12 DATA SCIENCE PLATFORM MARKET, BY SERVICE, 2016–2020 (USD MILLION) 89
TABLE 13 DATA SCIENCE PLATFORM MARKET, BY SERVICE, 2021–2026 (USD MILLION) 89
TABLE 14 SERVICES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 90
TABLE 15 SERVICES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 90
6.3.1 MANAGED SERVICES 90
TABLE 16 MANAGED SERVICES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 91
TABLE 17 MANAGED SERVICES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 91
6.3.2 PROFESSIONAL SERVICES 91
TABLE 18 PROFESSIONAL SERVICES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 92
TABLE 19 PROFESSIONAL SERVICES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 92
FIGURE 35 SUPPORT AND MAINTENANCE SERVICES SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 92
TABLE 20 PROFESSIONAL SERVICES: DATA SCIENCE PLATFORM MARKET, BY TYPE, 2016–2020 (USD MILLION) 93
TABLE 21 PROFESSIONAL SERVICES: DATA SCIENCE PLATFORM MARKET, BY TYPE, 2021–2026 (USD MILLION) 93
6.3.3 CONSULTING 93
TABLE 22 CONSULTING DATA SCIENCE PLATFORM SERVICES MARKET, BY REGION, 2016–2020 (USD MILLION) 93
TABLE 23 CONSULTING DATA SCIENCE PLATFORM SERVICES MARKET, BY REGION, 2021–2026 (USD MILLION) 94
6.3.4 DEPLOYMENT AND INTEGRATION 94
TABLE 24 DEPLOYMENT AND INTEGRATION: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 94
TABLE 25 DEPLOYMENT AND INTEGRATION: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 95
6.3.5 SUPPORT AND MAINTENANCE 95
TABLE 26 SUPPORT AND MAINTENANCE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 95
TABLE 27 SUPPORT AND MAINTENANCE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 96
7 DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION 97
7.1 INTRODUCTION 98
7.1.1 COVID-19 IMPACT ON THE DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION 98
FIGURE 36 FINANCE AND ACCOUNTING SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 98
TABLE 28 DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION, 2016–2020 (USD MILLION) 99
TABLE 29 DATA SCIENCE PLATFORM MARKET, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION) 99
7.1.2 BUSINESS FUNCTIONS: DATA SCIENCE PLATFORM MARKET DRIVERS 99
7.2 MARKETING 100
TABLE 30 MARKETING: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 100
TABLE 31 MARKETING: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 101
7.3 SALES 101
TABLE 32 SALES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 101
TABLE 33 SALES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 102
7.4 LOGISTICS 102
TABLE 34 LOGISTICS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 103
TABLE 35 LOGISTICS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 103
7.5 FINANCE AND ACCOUNTING 103
TABLE 36 FINANCE AND ACCOUNTING: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 104
TABLE 37 FINANCE AND ACCOUNTING: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 104
7.6 CUSTOMER SUPPORT 104
TABLE 38 CUSTOMER SUPPORT: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 105
TABLE 39 CUSTOMER SUPPORT: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 105
7.7 OTHER BUSINESS FUNCTIONS 105
TABLE 40 OTHER BUSINESS FUNCTIONS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 106
TABLE 41 OTHER BUSINESS FUNCTIONS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 106
8 DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE 107
8.1 INTRODUCTION 108
8.1.1 COVID-19 IMPACT ON THE DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE 108
FIGURE 37 CLOUD SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 109
TABLE 42 DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION) 109
TABLE 43 DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION) 109
8.1.2 DEPLOYMENT MODES: DATA SCIENCE PLATFORM MARKET DRIVERS 109
8.2 ON-PREMISES 110
TABLE 44 ON-PREMISES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 110
TABLE 45 ON-PREMISES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 111
8.3 CLOUD 111
TABLE 46 CLOUD: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 111
TABLE 47 CLOUD: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 112
9 DATA SCIENCE PLATFORM MARKET, BY ORGANIZATION SIZE 113
9.1 INTRODUCTION 114
9.1.1 COVID-19 IMPACT ON THE DATA SCIENCE PLATFORM MARKET, BY ORGANIZATION SIZE 114
FIGURE 38 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 115
TABLE 48 DATA SCIENCE PLATFORM MARKET, BY ORGANIZATION SIZE, 2016–2020 (USD MILLION) 115
TABLE 49 DATA SCIENCE PLATFORM MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION) 115
9.1.2 ORGANIZATION SIZE: DATA SCIENCE PLATFORM MARKET DRIVERS 116
9.2 SMALL AND MEDIUM-SIZED ENTERPRISES 116
TABLE 50 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 117
TABLE 51 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 117
9.3 LARGE ENTERPRISES 117
TABLE 52 LARGE ENTERPRISES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 118
TABLE 53 LARGE ENTERPRISES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 118
10 DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL 119
10.1 INTRODUCTION 120
10.1.1 COVID-19 IMPACT ON THE DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL 120
FIGURE 39 HEALTHCARE AND LIFE SCIENCES INDUSTRY VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 121
TABLE 54 DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL, 2016–2020 (USD MILLION) 122
TABLE 55 DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL, 2021–2026 (USD MILLION) 122
10.1.2 INDUSTRY VERTICALS: DATA SCIENCE PLATFORM MARKET DRIVERS 123
10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 124
TABLE 56 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 124
TABLE 57 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 124
10.3 TELECOMMUNICATIONS AND IT 125
TABLE 58 TELECOMMUNICATIONS AND IT: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 126
TABLE 59 TELECOMMUNICATIONS AND IT: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 126
10.4 RETAIL AND ECOMMERCE 126
TABLE 60 RETAIL AND ECOMMERCE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 127
TABLE 61 RETAIL AND ECOMMERCE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 127
10.5 HEALTHCARE AND LIFE SCIENCES 127
TABLE 62 HEALTHCARE AND LIFE SCIENCES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 128
TABLE 63 HEALTHCARE AND LIFE SCIENCES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 128
10.6 GOVERNMENT AND DEFENSE 129
TABLE 64 GOVERNMENT AND DEFENSE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 129
TABLE 65 GOVERNMENT AND DEFENSE: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 130
10.7 MEDIA AND ENTERTAINMENT 130
TABLE 66 MEDIA AND ENTERTAINMENT: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 131
TABLE 67 MEDIA AND ENTERTAINMENT: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 131
10.8 MANUFACTURING 131
TABLE 68 MANUFACTURING: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 132
TABLE 69 MANUFACTURING: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 132
10.9 TRANSPORTATION AND LOGISTICS 132
TABLE 70 TRANSPORTATION AND LOGISTICS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 133
TABLE 71 TRANSPORTATION AND LOGISTICS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 133
10.10 ENERGY AND UTILITIES 134
TABLE 72 ENERGY AND UTILITIES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 134
TABLE 73 ENERGY AND UTILITIES: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 134
10.11 OTHER INDUSTRY VERTICALS 135
TABLE 74 OTHER INDUSTRY VERTICALS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 135
TABLE 75 OTHER INDUSTRY VERTICALS: DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 135
11 DATA SCIENCE PLATFORM MARKET, BY REGION 136
11.1 INTRODUCTION 137
FIGURE 40 ASIA PACIFIC TO ACHIEVE THE HIGHEST GROWTH IN THE DATA SCIENCE PLATFORM MARKET DURING THE FORECAST PERIOD 137
FIGURE 41 INDIA TO ACHIEVE THE HIGHEST GROWTH IN THE DATA SCIENCE PLATFORM MARKET DURING THE FORECAST PERIOD 138
TABLE 76 DATA SCIENCE PLATFORM MARKET, BY REGION, 2016–2020 (USD MILLION) 138
TABLE 77 DATA SCIENCE PLATFORM MARKET, BY REGION, 2021–2026 (USD MILLION) 138
11.2 NORTH AMERICA 139
11.2.1 NORTH AMERICA: DATA SCIENCE PLATFORM MARKET DRIVERS 139
11.2.2 NORTH AMERICA: COVID-19 IMPACT 140
11.2.3 NORTH AMERICA: REGULATIONS 140
11.2.3.1 Personal Information Protection and Electronic Documents Act (PIPEDA) 140
11.2.3.2 Gramm-Leach-Bliley (GLB) Act 141
11.2.3.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996 141
11.2.3.4 Federal Information Security Management Act (FISMA) 141
11.2.3.5 Federal Information Processing Standards (FIPS) 141
11.2.3.6 California Consumer Privacy Act (CSPA) 142
FIGURE 42 NORTH AMERICA: MARKET SNAPSHOT 143
TABLE 78 NORTH AMERICA: DATA SCIENCE PLATFORM, BY COMPONENT, 2016–2020 (USD MILLION) 143
TABLE 79 NORTH AMERICA: DATA SCIENCE PLATFORM, BY COMPONENT, 2021–2026 (USD MILLION) 144
TABLE 80 NORTH AMERICA: DATA SCIENCE PLATFORM, BY SERVICE, 2016–2020 (USD MILLION) 144
TABLE 81 NORTH AMERICA: DATA SCIENCE PLATFORM, BY SERVICE, 2021–2026 (USD MILLION) 144
TABLE 82 NORTH AMERICA: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2016–2020 (USD MILLION) 144
TABLE 83 NORTH AMERICA: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2021–2026 (USD MILLION) 145
TABLE 84 NORTH AMERICA: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION) 145
TABLE 85 NORTH AMERICA: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION) 145
TABLE 86 NORTH AMERICA: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2016–2020 (USD MILLION) 145
TABLE 87 NORTH AMERICA: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION) 146
TABLE 88 NORTH AMERICA: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2016–2020 (USD MILLION) 146
TABLE 89 NORTH AMERICA: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION) 146
TABLE 90 NORTH AMERICA: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2016–2020 (USD MILLION) 147
TABLE 91 NORTH AMERICA: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2021–2026 (USD MILLION) 147
TABLE 92 NORTH AMERICA: DATA SCIENCE PLATFORM, BY COUNTRY, 2016–2020 (USD MILLION) 148
TABLE 93 NORTH AMERICA: DATA SCIENCE PLATFORM, BY COUNTRY, 2021–2026 (USD MILLION) 148
11.2.4 UNITED STATES 148
TABLE 94 UNITED STATES: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 148
TABLE 95 UNITED STATES: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 149
TABLE 96 UNITED STATES: DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION) 149
TABLE 97 UNITED STATES: DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION) 149
11.2.5 CANADA 149
TABLE 98 CANADA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 150
TABLE 99 CANADA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 150
TABLE 100 CANADA: DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION) 150
TABLE 101 CANADA: DATA SCIENCE PLATFORM MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION) 151
11.3 EUROPE 151
11.3.1 EUROPE: DATA SCIENCE PLATFORM MARKET DRIVERS 152
11.3.2 EUROPE: COVID-19 IMPACT 152
11.3.3 EUROPE: TARIFFS AND REGULATIONS 153
11.3.3.1 GDPR 2016/679 is a regulation in the EU 153
11.3.3.2 General Data Protection Regulation 153
11.3.3.3 European Committee for Standardization 153
11.3.3.4 European Technical Standards Institute 153
TABLE 102 EUROPE: DATA SCIENCE PLATFORM, BY COMPONENT, 2016–2020 (USD MILLION) 154
TABLE 103 EUROPE: DATA SCIENCE PLATFORM, BY COMPONENT, 2021–2026 (USD MILLION) 154
TABLE 104 EUROPE: DATA SCIENCE PLATFORM, BY SERVICE, 2016–2020 (USD MILLION) 154
TABLE 105 EUROPE: DATA SCIENCE PLATFORM, BY SERVICE, 2021–2026 (USD MILLION) 154
TABLE 106 EUROPE: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2016–2020 (USD MILLION) 155
TABLE 107 EUROPE: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2021–2026 (USD MILLION) 155
TABLE 108 EUROPE: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION) 155
TABLE 109 EUROPE: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION) 155
TABLE 110 EUROPE: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2016–2020 (USD MILLION) 156
TABLE 111 EUROPE: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION) 156
TABLE 112 EUROPE: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2016–2020 (USD MILLION) 156
TABLE 113 EUROPE: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION) 157
TABLE 114 EUROPE: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2016–2020 (USD MILLION) 157
TABLE 115 EUROPE: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2021–2026 (USD MILLION) 158
TABLE 116 EUROPE: DATA SCIENCE PLATFORM MARKET, BY COUNTRY, 2016–2020 (USD MILLION) 158
TABLE 117 EUROPE: DATA SCIENCE PLATFORM MARKET, BY COUNTRY, 2021–2026 (USD MILLION) 158
11.3.4 UNITED KINGDOM 159
TABLE 118 UNITED KINGDOM: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 159
TABLE 119 UNITED KINGDOM: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 159
11.3.5 GERMANY 160
TABLE 120 GERMANY: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 160
TABLE 121 GERMANY: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 160
11.3.6 FRANCE 161
TABLE 122 FRANCE: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 161
TABLE 123 FRANCE: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 161
11.3.7 REST OF EUROPE 162
TABLE 124 REST OF EUROPE: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 162
TABLE 125 REST OF EUROPE: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 162
11.4 ASIA PACIFIC 163
11.4.1 ASIA PACIFIC: DATA SCIENCE PLATFORM MARKET DRIVERS 163
11.4.2 ASIA PACIFIC: COVID-19 IMPACT 164
11.4.3 ASIA PACIFIC: REGULATIONS 165
11.4.3.1 Privacy Commissioner for Personal Data 165
11.4.3.2 Act on the Protection of Personal Information 165
11.4.3.3 Critical Information Infrastructure 165
11.4.3.4 International Organization for Standardization 27001 166
11.4.3.5 Personal Data Protection Act 166
FIGURE 43 ASIA PACIFIC: MARKET SNAPSHOT 167
TABLE 126 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY COMPONENT, 2016–2020 (USD MILLION) 167
TABLE 127 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY COMPONENT, 2021–2026 (USD MILLION) 168
TABLE 128 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY SERVICE, 2016–2020 (USD MILLION) 168
TABLE 129 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY SERVICE, 2021–2026 (USD MILLION) 168
TABLE 130 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2016–2020 (USD MILLION) 168
TABLE 131 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2021–2026 (USD MILLION) 169
TABLE 132 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION) 169
TABLE 133 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION) 169
TABLE 134 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2016–2020 (USD MILLION) 169
TABLE 135 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION) 170
TABLE 136 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2016–2020 (USD MILLION) 170
TABLE 137 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION) 170
TABLE 138 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2016–2020 (USD MILLION) 171
TABLE 139 ASIA PACIFIC: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2021–2026 (USD MILLION) 171
TABLE 140 ASIA PACIFIC: DATA SCIENCE PLATFORM MARKET, BY COUNTRY/REGION, 2016–2020 (USD MILLION) 172
TABLE 141 ASIA PACIFIC: DATA SCIENCE PLATFORM MARKET, BY COUNTRY/REGION, 2021–2026 (USD MILLION) 172
11.4.4 CHINA 172
TABLE 142 CHINA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 173
TABLE 143 CHINA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 173
11.4.5 JAPAN 173
TABLE 144 JAPAN: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 174
TABLE 145 JAPAN: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 174
11.4.6 INDIA 174
TABLE 146 INDIA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 175
TABLE 147 INDIA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 175
11.4.7 REST OF ASIA PACIFIC 175
TABLE 148 REST OF ASIA PACIFIC: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 176
TABLE 149 REST OF ASIA PACIFIC: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 176
11.5 MIDDLE EAST AND AFRICA 176
11.5.1 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM MARKET DRIVERS 177
11.5.2 MIDDLE EAST AND AFRICA: COVID-19 IMPACT 177
11.5.3 MIDDLE EAST AND AFRICA: REGULATIONS 178
11.5.3.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017 178
11.5.3.2 GDPR Applicability in KSA 178
11.5.3.3 Protection of Personal Information Act (POPIA) 178
TABLE 150 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY COMPONENT, 2016–2020 (USD MILLION) 179
TABLE 151 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY COMPONENT, 2021–2026 (USD MILLION) 179
TABLE 152 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY SERVICE, 2016–2020 (USD MILLION) 179
TABLE 153 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY SERVICE, 2021–2026 (USD MILLION) 179
TABLE 154 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2016–2020 (USD MILLION) 180
TABLE 155 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2021–2026 (USD MILLION) 180
TABLE 156 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION) 180
TABLE 157 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION) 180
TABLE 158 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2016–2020 (USD MILLION) 181
TABLE 159 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION) 181
TABLE 160 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2016–2020 (USD MILLION) 181
TABLE 161 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION) 182
TABLE 162 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2016–2020 (USD MILLION) 182
TABLE 163 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2021–2026 (USD MILLION) 183
TABLE 164 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM MARKET, BY COUNTRY/REGION, 2016–2020 (USD MILLION) 183
TABLE 165 MIDDLE EAST AND AFRICA: DATA SCIENCE PLATFORM MARKET, BY COUNTRY/REGION, 2021–2026 (USD MILLION) 183
11.5.4 MIDDLE EAST 184
TABLE 166 MIDDLE EAST: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 184
TABLE 167 MIDDLE EAST: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 184
11.5.5 AFRICA 185
TABLE 168 AFRICA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 185
TABLE 169 AFRICA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 185
11.5.6 REST OF THE MIDDLE EAST AND AFRICA 186
11.6 LATIN AMERICA 186
11.6.1 LATIN AMERICA: DATA SCIENCE PLATFORM MARKET DRIVERS 187
11.6.2 LATIN AMERICA: COVID-19 IMPACT 187
11.6.3 LATIN AMERICA: REGULATIONS 188
11.6.3.1 Brazil Data Protection Law 188
11.6.3.2 Argentina Personal Data Protection Law No. 25.326 188
TABLE 170 LATIN AMERICA: DATA SCIENCE PLATFORM, BY COMPONENT, 2016–2020 (USD MILLION) 189
TABLE 171 LATIN AMERICA: DATA SCIENCE PLATFORM, BY COMPONENT, 2021–2026 (USD MILLION) 189
TABLE 172 LATIN AMERICA: DATA SCIENCE PLATFORM, BY SERVICE, 2016–2020 (USD MILLION) 189
TABLE 173 LATIN AMERICA: DATA SCIENCE PLATFORM, BY SERVICE, 2021–2026 (USD MILLION) 189
TABLE 174 LATIN AMERICA: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2016–2020 (USD MILLION) 190
TABLE 175 LATIN AMERICA: DATA SCIENCE PLATFORM, BY PROFESSIONAL SERVICE, 2021–2026 (USD MILLION) 190
TABLE 176 LATIN AMERICA: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION) 190
TABLE 177 LATIN AMERICA: DATA SCIENCE PLATFORM, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION) 190
TABLE 178 LATIN AMERICA: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2016–2020 (USD MILLION) 191
TABLE 179 LATIN AMERICA: DATA SCIENCE PLATFORM, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION) 191
TABLE 180 LATIN AMERICA: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2016–2020 (USD MILLION) 191
TABLE 181 LATIN AMERICA: DATA SCIENCE PLATFORM, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION) 192
TABLE 182 LATIN AMERICA: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2016–2020 (USD MILLION) 192
TABLE 183 LATIN AMERICA: DATA SCIENCE PLATFORM, BY INDUSTRY VERTICAL, 2021–2026 (USD MILLION) 193
TABLE 184 LATIN AMERICA: DATA SCIENCE PLATFORM MARKET, BY COUNTRY/REGION, 2016–2020 (USD MILLION) 193
TABLE 185 LATIN AMERICA: DATA SCIENCE PLATFORM MARKET, BY COUNTRY/REGION, 2021–2026 (USD MILLION) 193
11.6.4 BRAZIL 194
TABLE 186 BRAZIL: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 194
TABLE 187 BRAZIL: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 194
11.6.5 MEXICO 195
TABLE 188 MEXICO: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 195
TABLE 189 MEXICO: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 195
11.6.6 REST OF LATIN AMERICA 196
TABLE 190 REST OF LATIN AMERICA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 196
TABLE 191 REST OF LATIN AMERICA: DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 196
12 COMPETITIVE LANDSCAPE 197
12.1 OVERVIEW 197
12.2 KEY PLAYER STRATEGIES 197
12.3 REVENUE ANALYSIS 199
FIGURE 44 REVENUE ANALYSIS FOR KEY COMPANIES IN THE PAST FIVE YEARS 199
12.4 MARKET SHARE ANALYSIS 199
FIGURE 45 MARKET SHARE ANALYSIS FOR KEY COMPANIES 200
TABLE 192 DATA SCIENCE PLATFORM MARKET: DEGREE OF COMPETITION 200
12.5 COMPANY EVALUATION QUADRANT 201
12.5.1 STARS 201
12.5.2 EMERGING LEADERS 201
12.5.3 PERVASIVE 201
12.5.4 PARTICIPANT 201
FIGURE 46 KEY DATA SCIENCE PLATFORM MARKET PLAYERS, COMPANY EVALUATION QUADRANT, 2021 202
12.6 COMPETITIVE BENCHMARKING 203
12.6.1 COMPANY PRODUCT FOOTPRINT 203
TABLE 193 COMPANY PRODUCT FOOTPRINT 203
12.6.2 COMPANY REGION FOOTPRINT 204
TABLE 194 COMPANY REGION FOOTPRINT 204
TABLE 195 DATA SCIENCE PLATFORM MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS 205
TABLE 196 DATA SCIENCE PLATFORM MARKET: DETAILED LIST OF KEY PLAYERS 206
12.7 STARTUP/SME EVALUATION QUADRANT 207
12.7.1 PROGRESSIVE COMPANIES 207
12.7.2 RESPONSIVE COMPANIES 207
12.7.3 DYNAMIC COMPANIES 207
12.7.4 STARTING BLOCKS 208
FIGURE 47 STARTUP/SME DATA SCIENCE PLATFORM MARKET EVALUATION QUADRANT, 2021 208
12.8 STARTUP/SME COMPETITIVE BENCHMARKING 209
12.8.1 COMPANY PRODUCT FOOTPRINT 209
TABLE 197 STARTUP/SME COMPANY OFFERING FOOTPRINT 209
12.8.2 COMPANY REGION FOOTPRINT 209
TABLE 198 STARTUP/SME COMPANY REGION FOOTPRINT 209
TABLE 199 DATA SCIENCE PLATFORM MARKET: DETAILED LIST OF KEYS STARTUP/SMES 210
TABLE 200 DATA SCIENCE PLATFORM MARKET COMPETITIVE BENCHMARKING OF KEY STARTUP/SMES 211
12.9 COMPETITIVE SCENARIO AND TRENDS 211
12.9.1 PRODUCT LAUNCHES 211
TABLE 201 DATA SCIENCE PLATFORM MARKET: PRODUCT LAUNCHES, APRIL 2020– FEBRUARY 2022 212
12.9.2 DEALS 223
TABLE 202 DATA SCIENCE PLATFORM MARKET: DEALS, FEBRUARY 2019–FEBRUARY 2022 223
13 COMPANY PROFILES 242
13.1 INTRODUCTION 242
13.2 MAJOR PLAYERS 242
(Business Overview, Products & Services, Key Insights, Recent Developments, COVID-19 Related Developmets, MnM View)*
13.2.1 IBM 242
TABLE 203 IBM: BUSINESS OVERVIEW 242
FIGURE 48 IBM: COMPANY SNAPSHOT 243
TABLE 204 IBM: PRODUCTS OFFERED 243
TABLE 205 IBM: SERVICES OFFERED 244
TABLE 206 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS 244
TABLE 207 IBM: DEALS 245
13.2.2 GOOGLE 249
TABLE 208 GOOGLE: BUSINESS OVERVIEW 249
FIGURE 49 GOOGLE: COMPANY SNAPSHOT 250
TABLE 209 GOOGLE: PRODUCTS OFFERED 250
TABLE 210 GOOGLE: SERVICES OFFERED 251
TABLE 211 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS 251
TABLE 212 GOOGLE: DEALS 251
13.2.3 MICROSOFT 254
TABLE 213 MICROSOFT: BUSINESS OVERVIEW 254
FIGURE 50 MICROSOFT: COMPANY SNAPSHOT 255
TABLE 214 MICROSOFT: PRODUCTS OFFERED 255
TABLE 215 MICROSOFT: SERVICES OFFERED 257
TABLE 216 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS 257
TABLE 217 MICROSOFT: DEALS 259
13.2.4 MATHWORKS 262
TABLE 218 MATHWORKS: BUSINESS OVERVIEW 262
TABLE 219 MATHWORKS: PRODUCTS OFFERED 263
TABLE 220 MATHWORKS: SERVICES OFFERED 265
TABLE 221 MATHWORKS: PRODUCT LAUNCHES AND ENHANCEMENTS 265
TABLE 222 MATHWORKS: DEALS 266
13.2.5 SAS 268
TABLE 223 SAS: BUSINESS OVERVIEW 268
FIGURE 51 SAS: COMPANY SNAPSHOT 269
TABLE 224 SAS: PRODUCTS OFFERED 269
TABLE 225 SAS: SERVICES OFFERED 270
TABLE 226 SAS: PRODUCT LAUNCHES AND ENHANCEMENTS 270
TABLE 227 SAS: DEALS 271
13.2.6 CLOUDERA 273
TABLE 228 CLOUDERA: BUSINESS OVERVIEW 273
FIGURE 52 CLOUDERA: COMPANY SNAPSHOT 274
TABLE 229 CLOUDERA: PRODUCTS OFFERED 274
TABLE 230 CLOUDERA: SERVICES OFFERED 275
TABLE 231 CLOUDERA: PRODUCT LAUNCHES AND ENHANCEMENTS 275
TABLE 232 CLOUDERA: DEALS 276
13.2.7 TERADATA 277
TABLE 233 TERADATA: BUSINESS OVERVIEW 277
FIGURE 53 TERADATA: COMPANY SNAPSHOT 278
TABLE 234 TERADATA: PRODUCTS OFFERED 278
TABLE 235 TERADATA: SERVICES OFFERED 278
TABLE 236 TERADATA: PRODUCT LAUNCHES AND ENHANCEMENTS 279
TABLE 237 TERADATA: DEALS 279
13.2.8 TIBCO 282
TABLE 238 TIBCO: BUSINESS OVERVIEW 282
TABLE 239 TIBCO: PRODUCTS OFFERED 282
TABLE 240 TIBCO: SERVICES OFFERED 283
TABLE 241 TIBCO: PRODUCT LAUNCHES AND ENHANCEMENTS 283
TABLE 242 TIBCO: DEALS 284
13.2.9 AWS 286
TABLE 243 AWS: BUSINESS OVERVIEW 286
FIGURE 54 AWS: COMPANY SNAPSHOT 286
TABLE 244 AWS: PRODUCTS OFFERED 287
TABLE 245 AWS: SERVICES OFFERED 287
TABLE 246 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS 287
TABLE 247 AWS: DEALS 288
13.2.10 ALTERYX 291
TABLE 248 ALTERYX: BUSINESS OVERVIEW 291
FIGURE 55 ALTERYX: COMPANY SNAPSHOT 292
TABLE 249 ALTERYX: PRODUCTS OFFERED 292
TABLE 250 ALTERYX: SERVICES OFFERED 293
TABLE 251 ALTERYX: PRODUCT LAUNCHES AND ENHANCEMENTS 293
TABLE 252 ALTERYX: DEALS 293
13.2.11 RAPIDMINER 295
TABLE 253 RAPIDMINER: BUSINESS OVERVIEW 295
TABLE 254 RAPIDMINER: PRODUCTS OFFERED 295
TABLE 255 RAPIDMINER: SERVICES OFFERED 296
TABLE 256 RAPIDMINER: PRODUCT LAUNCHES AND ENHANCEMENTS 296
TABLE 257 RAPIDMINER: DEALS 296
13.2.12 DATABRICKS 297
TABLE 258 DATABRICKS: BUSINESS OVERVIEW 297
TABLE 259 DATABRICKS: PRODUCTS OFFERED 297
TABLE 260 DATABRICKS: PRODUCT LAUNCHES AND ENHANCEMENTS 298
TABLE 261 DATABRICKS: DEALS 299
13.2.13 SNOWFLAKE 300
TABLE 262 SNOWFLAKE: BUSINESS OVERVIEW 300
FIGURE 56 SNOWFLAKE: COMPANY SNAPSHOT 300
TABLE 263 SNOWFLAKE: SOLUTIONS OFFERED 301
TABLE 264 SNOWFLAKE: SERVICES OFFERED 301
TABLE 265 SNOWFLAKE: PRODUCT LAUNCHES AND ENHANCEMENTS 301
TABLE 266 SNOWFLAKE: DEALS 302
13.2.14 H2O.AI 303
TABLE 267 H2O.AI: BUSINESS OVERVIEW 303
TABLE 268 H2O.AI: PRODUCTS OFFERED 303
TABLE 269 H2O.AI: PRODUCT LAUNCHES AND ENHANCEMENTS 304
TABLE 270 H2O.AI: DEALS 304
13.2.15 ANACONDA 306
TABLE 271 ANACONDA: BUSINESS OVERVIEW 306
TABLE 272 ANACONDA: PRODUCTS OFFERED 306
TABLE 273 ANACONDA: PRODUCT LAUNCHES AND ENHANCEMENTS 307
TABLE 274 ANACONDA: DEALS 308
13.2.16 ALTAIR 309
TABLE 275 ALTAIR: BUSINESS OVERVIEW 309
FIGURE 57 ALTAIR: COMPANY SNAPSHOT 310
TABLE 276 ALTAIR: PRODUCTS OFFERED 310
TABLE 277 ALTAIR: PRODUCT LAUNCHES AND ENHANCEMENTS 311
TABLE 278 ALTAIR: DEALS 311
*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 313
13.3.1 SAP 313
13.3.2 DOMINO DATA LAB 314
13.3.3 DATAIKU 315
13.3.4 DATAROBOT 316
13.3.5 APHERIS 317
13.3.6 COMET 318
13.3.7 DATABAND 319
13.3.8 DOTDATA 320
13.3.9 EXPLORIUM 320
13.3.10 NOOGATA 321
13.3.11 TECTON 321
13.3.12 SPELL 322
13.3.13 ARRIKTO 322
13.3.14 ITERATIVE 323
14 ADJACENT AND RELATED MARKETS 324
14.1 DATA GOVERNANCE MARKET—GLOBAL FORECAST TO 2025 324
14.1.1 MARKET DEFINITION 324
14.1.2 MARKETS OVERVIEW 324
14.1.2.1 Data governance market, by application 324
TABLE 279 DATA GOVERNANCE MARKET SIZE, BY APPLICATION, 
2014–2019 (USD MILLION) 324
TABLE 280 DATA GOVERNANCE MARKET SIZE, BY APPLICATION, 
2019–2025 (USD MILLION) 325
14.1.2.2 Data governance market, by component 325
TABLE 281 DATA GOVERNANCE MARKET SIZE, BY COMPONENT, 
2014–2019 (USD MILLION) 325
TABLE 282 DATA GOVERNANCE MARKET SIZE, BY COMPONENT, 
2019–2025 (USD MILLION) 326
14.1.2.3 Data governance market, by deployment model 326
TABLE 283 DATA GOVERNANCE MARKET SIZE, BY DEPLOYMENT MODEL, 
2014–2019 (USD MILLION) 326
TABLE 284 DATA GOVERNANCE MARKET SIZE, BY DEPLOYMENT MODEL, 
2019–2025 (USD MILLION) 326
14.1.2.4 Data governance market, by organization size 326
TABLE 285 DATA GOVERNANCE MARKET SIZE, BY ORGANIZATION SIZE, 
2014–2019 (USD MILLION) 327
TABLE 286 DATA GOVERNANCE MARKET SIZE, BY ORGANIZATION SIZE, 
2019–2025 (USD MILLION) 327
14.1.2.5 Data governance market, by vertical 327
TABLE 287 DATA GOVERNANCE MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION) 328
TABLE 288 DATA GOVERNANCE MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION) 328
14.1.2.6 Data governance market, by region 329
TABLE 289 DATA GOVERNANCE MARKET SIZE, BY REGION, 2014–2019 (USD MILLION) 329
TABLE 290 DATA GOVERNANCE MARKET SIZE, BY REGION, 2019–2025 (USD MILLION) 329
14.1.3 DATA DISCOVERY MARKET—GLOBAL FORECAST TO 2025 330
14.1.3.1 Market definition 330
14.1.3.2 Market overview 330
14.1.3.3 Data discovery market, by component 330
TABLE 291 DATA DISCOVERY MARKET SIZE, BY COMPONENT, 2014–2019 (USD MILLION) 330
TABLE 292 DATA DISCOVERY MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION) 331
TABLE 293 DATA DISCOVERY MARKET SIZE, BY SERVICE,2014–2019 (USD MILLION) 331
TABLE 294 DATA DISCOVERY MARKET SIZE, BY SERVICE, 2019–2025 (USD MILLION) 331
TABLE 295 PROFESSIONAL SERVICES: DATA DISCOVERY MARKET SIZE, BY TYPE, 2014–2019 (USD MILLION) 331
TABLE 296 PROFESSIONAL SERVICES: DATA DISCOVERY MARKET SIZE, BY TYPE, 2019–2025 (USD MILLION) 332
14.1.3.4 Data discovery market, by organization size 332
TABLE 297 DATA DISCOVERY MARKET SIZE, BY ORGANIZATION SIZE, 2014–2019 (USD MILLION) 332
TABLE 298 DATA DISCOVERY MARKET SIZE, BY ORGANIZATION SIZE, 2019–2025 (USD MILLION) 333
14.1.3.5 Data discovery market, by deployment mode 333
TABLE 299 DATA DISCOVERY MARKET SIZE, BY DEPLOYMENT MODE, 2014–2019 (USD MILLION) 333
TABLE 300 DATA DISCOVERY MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION) 333
TABLE 301 CLOUD: DATA DISCOVERY MARKET SIZE, BY TYPE, 2014–2019 (USD MILLION) 334
TABLE 302 CLOUD: DATA DISCOVERY MARKET SIZE, BY TYPE, 2019–2025 (USD MILLION) 334
14.1.3.6 Data discovery market, by functionality 334
TABLE 303 DATA DISCOVERY MARKET SIZE, BY FUNCTIONALITY, 2014–2019 (USD MILLION) 335
TABLE 304 DATA DISCOVERY MARKET SIZE, BY FUNCTIONALITY, 2019–2025 (USD MILLION) 335
14.1.3.7 Data discovery market, by application 335
TABLE 305 DATA DISCOVERY MARKET SIZE, BY APPLICATION, 2014–2019 (USD MILLION) 336
TABLE 306 DATA DISCOVERY MARKET SIZE, BY APPLICATION, 2019–2025 (USD MILLION) 336
14.1.3.8 Data discovery market, by vertical 336
TABLE 307 DATA DISCOVERY MARKET SIZE, BY VERTICAL, 2014–2019 (USD MILLION) 337
TABLE 308 DATA DISCOVERY MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION) 337
14.1.3.9 Data discovery market, by region 338
TABLE 309 DATA DISCOVERY MARKET SIZE, BY REGION, 2014–2019 (USD MILLION) 338
TABLE 310 DATA DISCOVERY MARKET SIZE, BY REGION, 2019–2025 (USD MILLION) 338
15 APPENDIX 339
15.1 DISCUSSION GUIDE 339
15.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 346
15.3 AVAILABLE CUSTOMIZATIONS 348
15.4 RELATED REPORTS 348
15.5 AUTHOR DETAILS 349

 

 

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