調査レポートカテゴリー： IT/電子, MarketsandMarkets, 世界

Data Science Platform Market by Component (Platform and Services), Business Function (Marketing, Sales, Logistics, and Customer Support), Deployment Mode (On-Premises and Cloud), Organization Size, Industry Vertical, and Region - Global Forecast to 2024

データサイエンスプラットフォームの世界市場予測：構成要素別（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、販売、ロジスティクス、カスタマーサポート）、展開モード別（オンプレミス、クラウド）、組織規模別、業種別、地域別

◆タイトル：Data Science Platform Market by Component (Platform and Services), Business Function (Marketing, Sales, Logistics, and Customer Support), Deployment Mode (On-Premises and Cloud), Organization Size, Industry Vertical, and Region - Global Forecast to 2024
◆商品コード：TC 5003
◆調査・発行会社：MarketsandMarkets
◆発行日：2020年2月28日
◆ページ数：190
◆レポート形式：PDF / 英語
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 【レポートの概要】

MarketsandMarkets社はデータサイエンスプラットフォームの世界市場が、2019年379億ドルから2024年1409憶ドルまで、年平均30%成長すると予測しています。本調査レポートでは、データサイエンスプラットフォームの世界市場について調査・分析し、イントロダクション、調査手法、エグゼクティブサマリー、プレミアムインサイト、市場動向・産業トレンド、構成要素別（プラットフォーム、サービス）分析、展開モード別（オンプレミス、クラウド）分析、組織規模別（大企業、中小企業）分析、ビジネス機能別（マーケティング、販売、ロジスティクス、カスタマーサポート）分析、業種別（金融、IT＆通信、小売＆eコマース、医療＆生命科学、製造）分析、地域別分析、競争状況、企業概要などを含め、次の構成でお届け致します。
・イントロダクション
・調査手法
・エグゼクティブサマリー
・プレミアムインサイト
・市場動向・産業トレンド
・データサイエンスプラットフォームの世界市場：構成要素別（プラットフォーム、サービス）
・データサイエンスプラットフォームの世界市場：展開モード別（オンプレミス、クラウド）
・データサイエンスプラットフォームの世界市場：組織規模別（大企業、中小企業）
・データサイエンスプラットフォームの世界市場：ビジネス機能別（マーケティング、販売、ロジスティクス、カスタマーサポート）
・データサイエンスプラットフォームの世界市場：業種別（金融、IT＆通信、小売＆eコマース、医療＆生命科学、製造）
・データサイエンスプラットフォームの世界市場：地域別
・競争状況
・企業概要

“Increasing focus of enterprises on ease of use methods for driving business to boost the data science platform market growth”
MarketsandMarkets expects the global data science platform market to grow from USD 37.9 billion in 2019 to USD 140.9 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 30% during the forecast period. Major growth factors for the market include the growing need to gain insights from voluminous data to gain a competitive advantage and enable data-driven decisions in enterprises.

“Logistics industry vertical to grow at the highest CAGR during the forecast period”
Based on business functions, the data science platform market is divided into Banking, Financial Services, and Insurance (BFSI), telecom and IT, retail and eCommerce, healthcare and life sciences, manufacturing, energy and utilities, media and entertainment, transportation and logistics, government, and others (travel and hospitality, education, and research). The logistics industry vertical would benefit from the technological and methodological advancements of big data. It is changing drastically due to internal and external pressures from the rising costs. ML has the potential to revolutionize the logistics industry vertical through determining the most important factors for the success of a supply network, while it also has the potential to learn in the process. The companies such as Google and Altair have launched AI-powered solutions that make the development of ML projects easier and assist in building and running ML applications.

“Cloud segment to hold a higher market share during the forecast period”
Organizations have been gradually recognizing the importance of data science platform and have started deploying it as per their needs in various business functions, such as supply chain, customer support, and sales and marketing. The cloud-based data science platform is a cost-effective and efficient way of managing data science platform issues across organizations. The availability of easy deployment options and minimal requirements of capital and time are expected to facilitate the growth of the cloud segment among global enterprises.

“Asia Pacific to grow at the highest CAGR during the forecast period”
The growth in APAC can be attributed to the focus of countries such as China, India, and Japan on the enhanced management of data to enable data-based business decisions and enhance business processes. The commercialization of big data, AI, and IoT technologies and the need for further advancements to leverage these technologies to the best are expected to drive the adoption of data science platform and services in the region. APAC constitutes major economies, such as China, India, and Japan, which are expected to register high growth in the data science platform market. The verticals such as healthcare and life sciences, manufacturing, and retail and eCommerce are expected to rapidly adopt data science platform and services in the region. Tremendous technological adoption over the last few decades and ongoing innovations by companies such as Cloudera, Zaloni, and Temenos have helped the market to grow significantly in the region.

In-depth interviews were conducted with Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), Chief Operating Officers (COOs), Vice Presidents (VPs), Managing Directors (MDs), technology and innovation directors, and related key executives from various key companies and organizations operating in the data science platform market.
 By Company – Tier 1–22%, Tier 2–30%, and Tier 3–48%
 By Designation – C-Level–30%, Managers–45%, and Others–25%
 By Region – North America–15%, Europe–20%, and APAC–40%, and RoW -25%

The data science platform market comprises major solution providers, such as IBM Corporation (US), Microsoft Corporation (US), Alphabet Inc. (Google) (US), Altair Engineering, Inc. (US), Alteryx, Inc. (US), MathWorks (Australia), SAS Institute Inc. (US), RapidMiner, Inc. (US), Cloudera, Inc. (US), Anaconda, Inc. (US), Wolfram (US), Dataiku (US), Civis Analytics (US), H2O.ai. (US), Domino Data Lab, Inc. (US), RStudio, Inc. (US), Rapid Insight (US), DataRobot, Inc. (US), Rexer Analytics (US), SAP (Germany), and Databricks (US). The study includes an in-depth competitive analysis of these key players in the data science platform market, along with their company profiles, recent developments, and key market strategies.

Research Coverage
The data science platform market’s revenue is classified primarily into revenues from platform and services. Services’ revenue is associated with training and consulting integration and deployment, and support and maintenance services. The market is also segmented on the basis of components, deployment modes, industry verticals, organization size, business functions, and regions.

Key benefits of the report
The report would help the market leaders/new entrants in the market with the information on the closest approximations of the revenue numbers for the overall data science platform market and its subsegments. It would help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on the key market drivers, restraints, challenges, and opportunities.

【レポートの目次】

1 Introduction (Page No. – 20)
1.1 Objectives of the Study
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders

2 Research Methodology (Page No. – 24)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primaries
2.1.2.2 Key Industry Insights
2.2 Data Triangulation
2.3 Market Size Estimation
2.4 Market Forecast
2.5 Assumptions for the Study
2.6 Limitations of the Study

3 Executive Summary (Page No. – 32)

4 Premium Insights (Page No. – 37)
4.1 Attractive Opportunities in the Data Science Platform Market
4.2 Market: Top 3 Business Functions
4.3 Market: By Region
4.4 Market in North America, By Business Function and Industry Vertical

5 Market Overview and Industry Trends (Page No. – 40)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Enterprises Focusing on Ease of use Methods to Drive Business
5.2.1.2 Growing Need to Extract In-Depth Insights From Voluminous Data to Gain Competitive Advantage
5.2.2 Restraints
5.2.2.1 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 Rise in 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 Industry Trends
5.3.1 Value Chain Analysis
5.3.2 Use Cases
5.3.2.1 Use Case: Scenario 1
5.3.2.2 Use Case: Scenario 2
5.3.2.3 Use Case: Scenario 3
5.4 Impact of Technologies on Data Science Platform
5.4.1 Machine Learning
5.4.2 Deep Learning
5.4.3 Natural Language Processing
5.5 Regulatory Implications
5.5.1 General Data Protection Regulation
5.5.2 The International Organization for Standardization 27001
5.5.3 Payment Card Industry Data Security Standard
5.5.4 Basel Committee on Banking Supervision 239 Compliance
5.5.5 California Consumer Privacy Act
5.5.6 Health Insurance Portability and Accountability Act of 1996
5.5.7 Health Information Technology for Economic and Clinical Health Act
5.5.8 Sarbanes-Oxley Act of 2002
5.5.9 Personal Data Protection Act

6 Data Science Platform Market, By Component (Page No. – 50)
6.1 Introduction
6.2 Platform
6.2.1 Platform: Market Driver
6.3 Services
6.3.1 Managed Services
6.3.1.1 Managed Services: Market Drivers
6.3.2 Professional Services
6.3.2.1 Training and Consulting
6.3.2.1.1 Training and Consulting: Market Drivers
6.3.2.2 Integration and Deployment
6.3.2.2.1 Integration and Deployment: Market Driver
6.3.2.3 Support and Maintenance
6.3.2.3.1 Support and Maintenance: Market Drivers

7 Market, By Deployment Mode (Page No. – 60)
7.1 Introduction
7.2 On-Premises
7.2.1 On-Premises: Market Drivers
7.3 Cloud
7.3.1 Cloud: Market Drivers

8 Data Science Platform Market, By Organization Size (Page No. – 64)
8.1 Introduction
8.2 Large Enterprises
8.2.1 Large Enterprises: Market Drivers
8.3 Small and Medium-Sized Enterprises
8.3.1 Small and Medium-Sized Enterprises: Market Driver

9 Market, By Business Function (Page No. – 68)
9.1 Introduction
9.2 Marketing
9.2.1 Marketing: Market Drivers
9.3 Sales
9.3.1 Sales: Market Drivers
9.4 Logistics
9.4.1 Logistics: Market Drivers
9.5 Finance and Accounting
9.5.1 Finance and Accounting: Market Drivers
9.6 Customer Support
9.6.1 Customer Support: Market Drivers
9.7 Others
9.7.1 Others: Market Drivers

10 Market, By Industry Vertical (Page No. – 77)
10.1 Introduction
10.2 Banking, Financial Services, and Insurance
10.2.1 Banking, Financial Services, and Insurance: Market Drivers
10.3 Telecom and IT
10.3.1 Telecom and IT: Data Science Platform Market Driver
10.4 Retail and Ecommerce
10.4.1 Retail and Ecommerce: Market Drivers
10.5 Healthcare and Life Sciences
10.5.1 Healthcare and Life Sciences: Market Drivers
10.6 Manufacturing
10.6.1 Manufacturing: Market Drivers
10.7 Energy and Utilities
10.7.1 Energy and Utilities: Market Drivers
10.8 Media and Entertainment
10.8.1 Media and Entertainment: Market Drivers
10.9 Transportation and Logistics
10.9.1 Transportation and Logistics: Market Driver
10.10 Government and Defense
10.10.1 Government and Defense: Market Drivers
10.11 Others

11 Data Science Platform Market, By Region (Page No. – 92)
11.1 Introduction
11.2 North America
11.2.1 United States
11.2.1.1 United States: Market Drivers
11.2.2 Canada
11.2.2.1 Canada: Market Driver
11.3 Europe
11.3.1 United Kingdom
11.3.1.1 United Kingdom: Market Driver
11.3.2 Germany
11.3.2.1 Germany: Market Driver
11.3.3 France
11.3.3.1 France: Market Driver
11.3.4 Rest of Europe
11.4 Asia Pacific
11.4.1 China
11.4.1.1 China: Market Driver
11.4.2 Japan
11.4.2.1 Japan: Market Driver
11.4.3 India
11.4.3.1 India: Data Science Platform Market Driver
11.4.4 Rest of Asia Pacific
11.5 Middle East and Africa
11.5.1 Middle East
11.5.1.1 Middle East: Market Driver
11.5.2 South Africa
11.5.2.1 South Africa: Market Driver
11.6 Latin America
11.6.1 Brazil
11.6.1.1 Brazil: Market Driver
11.6.2 Mexico
11.6.2.1 Mexico: Market Driver
11.6.3 Rest of Latin America

12 Competitive Landscape (Page No. – 134)
12.1 Overview
12.2 Competitive Leadership Mapping
12.2.1 Visionary Leaders
12.2.2 Innovators
12.2.3 Dynamic Differentiators
12.2.4 Emerging Companies

13 Company Profiles (Page No. – 136)
13.1 Introduction
(Business Overview, Solutions & Services, Organic & Inorganic Growth, Key Insights, Recent Developments, SWOT Analysis, Right-To-Win, MnM View)*
13.2 Microsoft
13.3 IBM
13.4 Google
13.5 SAS Institute
13.6 Altair
13.7 Cloudera
13.8 Alteryx
13.9 Databricks
13.10 Wolfram
13.11 MathWorks
13.12 RapidMiner
13.13 Anaconda
13.14 Bridgei2i
13.15 Rexer Analytics
13.16 Domino Data Lab
13.17 Dataiku
13.18 Civis Analytics
13.19 H2O.Ai
13.20 RStudio
13.21 Rapid Insight
13.22 SAP

*Details on Business Overview, Solutions & Services, Organic & Inorganic Growth, Key Insights, Recent Developments, SWOT Analysis, Right-To-Win, MnM View Might Not be Captured in Case of Unlisted Companies.

14 Appendix (Page No. – 182)
14.1 Industry Experts
14.2 Discussion Guide
14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
14.4 Available Customizations
14.5 Related Reports
14.6 Author Details

List of Tables (102 Tables)

Table 1 United States Dollar Exchange Rate, 2015–2018
Table 2 Factor Analysis
Table 3 Global Data Science Platform Market Size and Growth Rate, 2017–2024 (USD Million, Y-O-Y %)
Table 4 Market Size, By Component, 2017–2024 (USD Million)
Table 5 Platform: Market Size, By Region, 2017–2024 (USD Million)
Table 6 Services: Market Size, By Type, 2017–2024 (USD Million)
Table 7 Services: Market Size, By Region, 2017–2024 (USD Million)
Table 8 Managed Services Market Size, By Region, 2017–2024 (USD Million)
Table 9 Professional Services: Market Size, By Region, 2017–2024 (USD Million)
Table 10 Training and Consulting Market Size, By Region, 2017–2024 (USD Million)
Table 11 Integration and Deployment Market Size, By Region, 2017–2024 (USD Million)
Table 12 Support and Maintenance Market Size, By Region, 2017–2024 (USD Million)
Table 13 Data Science Platform Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 14 On-Premises: Market Size, By Region, 2017–2024 (USD Million)
Table 15 Cloud: Market Size, By Region, 2017–2024 (USD Million)
Table 16 Market Size, By Organization Size, 2017–2024 (USD Million)
Table 17 Large Enterprises: Market Size, By Region, 2017–2024 (USD Million)
Table 18 Small and Medium-Sized Enterprises:Market Size, By Region, 2017–2024 (USD Million)
Table 19 Market Size, By Business Function, 2017–2024 (USD Million)
Table 20 Marketing: Market Size, By Region, 2017–2024 (USD Million)
Table 21 Data Science Platform Market Size, By Region, 2017–2024 (USD Million)
Table 22 Logistics: Market Size, By Region, 2017–2024 (USD Million)
Table 23 Finance and Accounting: Market Size, By Region, 2017–2024 (USD Million)
Table 24 Customer Support: Market Size, By Region, 2017–2024 (USD Million)
Table 25 Others: Market Size, By Region, 2017–2024 (USD Million)
Table 26 Market Size, By Industry Vertical, 2017–2024 (USD Million)
Table 27 Banking, Financial Services, and Insurance: Data Science Platform Market Size, By Region, 2017–2024 (USD Million)
Table 28 Telecom and IT: Market Size, By Region, 2017–2024 (USD Million)
Table 29 Retail and Ecommerce: Market Size, By Region, 2017–2024 (USD Million)
Table 30 Healthcare and Life Sciences: Market Size, By Region, 2017–2024 (USD Million)
Table 31 Manufacturing: Market Size, By Region, 2017–2024 (USD Million)
Table 32 Energy and Utilities: Market Size, By Region, 2017–2024 (USD Million)
Table 33 Media and Entertainment: Market Size, By Region, 2017–2024 (USD Million)
Table 34 Transportation and Logistics: Market Size, By Region, 2017–2024 (USD Million)
Table 35 Government and Defense: Market Size, By Region, 2017–2024 (USD Million)
Table 36 Others: Market Size, By Region, 2017–2024 (USD Million)
Table 37 Market Size, By Region, 2017–2024 (USD Million)
Table 38 North America: Data Science Platform Market Size, By Component, 2017–2024 (USD Million)
Table 39 North America: Market Size, By Service, 2017–2024 (USD Million)
Table 40 North America: Market Size, By Professional Service, 2017–2024 (USD Million)
Table 41 North America: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 42 North America: Market Size, By Organization Size, 2017–2024 (USD Million)
Table 43 North America: Market Size, By Business Function, 2017–2024 (USD Million)
Table 44 North America: Market Size, By Industry Vertical, 2017–2024 (USD Million)
Table 45 North America: Market Size, By Country, 2017–2024 (USD Million)
Table 46 United States: Data Science Platform Market Size, By Component, 2017–2024 (USD Million)
Table 47 United States: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 48 Canada: Market Size, By Component, 2017–2024 (USD Million)
Table 49 Canada: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 50 Europe: Market Size, By Component, 2017–2024 (USD Million)
Table 51 Europe: Market Size, By Service, 2017–2024 (USD Million)
Table 52 Europe: Market Size, By Professional Service, 2017–2024 (USD Million)
Table 53 Europe: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 54 Europe: Data Science Platform Market Size, By Organization Size, 2017–2024 (USD Million)
Table 55 Europe: Market Size, By Business Function, 2017–2024 (USD Million)
Table 56 Europe: Market Size, By Industry Vertical, 2017–2024 (USD Million)
Table 57 Europe: Market Size, By Country, 2017–2024 (USD Million)
Table 58 United Kingdom: Market Size, By Component, 2017–2024 (USD Million)
Table 59 United Kingdom: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 60 Germany: Market Size, By Component, 2017–2024 (USD Million)
Table 61 Germany: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 62 France: Market Size, By Component, 2017–2024 (USD Million)
Table 63 France: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 64 Asia Pacific: Data Science Platform Market Size, By Component, 2017–2024 (USD Million)
Table 65 Asia Pacific: Market Size, By Service, 2017–2024 (USD Million)
Table 66 Asia Pacific: Market Size, By Professional Service, 2017–2024 (USD Million)
Table 67 Asia Pacific: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 68 Asia Pacific: Market Size, By Organization Size, 2017–2024 (USD Million)
Table 69 Asia Pacific: Market Size, By Business Function, 2017–2024 (USD Million)
Table 70 Asia Pacific: Market Size, By Industry Vertical, 2017–2024 (USD Million)
Table 71 Asia Pacific: Market Size, By Country, 2017–2024 (USD Million)
Table 72 China: Data Science Platform Market Size, By Component, 2017–2024 (USD Million)
Table 73 China: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 74 Japan: Market Size, By Component, 2017–2024 (USD Million)
Table 75 Japan: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 76 India: Market Size, By Component, 2017–2024 (USD Million)
Table 77 India: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 78 Middle East and Africa: Market Size, By Component, 2017–2024 (USD Million)
Table 79 Middle East and Africa: Market Size, By Service, 2017–2024 (USD Million)
Table 80 Middle East and Africa: Market Size, By Professional Service, 2017–2024 (USD Million)
Table 81 Middle East and Africa: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 82 Middle East and Africa: Data Science Platform Market Size, By Organization Size, 2017–2024 (USD Million)
Table 83 Middle East and Africa: Market Size, By Business Function, 2017–2024 (USD Million)
Table 84 Middle East and Africa: Market Size, By Industry Vertical, 2017–2024 (USD Million)
Table 85 Middle East and Africa: Market Size, By Country, 2017–2024 (USD Million)
Table 86 Middle East: Market Size, By Component, 2017–2024 (USD Million)
Table 87 Middle East: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 88 South Africa: Market Size, By Component, 2017–2024 (USD Million)
Table 89 South Africa: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 90 Latin America: Data Science Platform Market Size, By Component, 2017–2024 (USD Million)
Table 91 Latin America: Market Size, By Service, 2017–2024 (USD Million)
Table 92 Latin America: Market Size, By Professional Service, 2017–2024 (USD Million)
Table 93 Latin America: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 94 Latin America: Market Size, By Organization Size, 2017–2024 (USD Million)
Table 95 Latin America: Market Size, By Business Function, 2017–2024 (USD Million)
Table 96 Latin America: Market Size, By Industry Vertical, 2017–2024 (USD Million)
Table 97 Latin America: Market Size, By Country, 2017–2024 (USD Million)
Table 98 Brazil: Data Science Platform Market Size, By Component, 2017–2024 (USD Million)
Table 99 Brazil: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 100 Mexico: Market Size, By Component, 2017–2024 (USD Million)
Table 101 Mexico: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 102 Evaluation Criteria

List of Figures (48 Figures)

Figure 1 Data Science Platform Market: Research Design
Figure 2 Market Size Estimation Methodology: Approach 1 (Supply Side): Revenue of Products/Solutions/Services of Data Science Platform Market
Figure 3 Market Size Estimation Methodology: Approach 1 Bottom-Up (Supply Side): Collective Revenue of All Products/Solutions/Services of Market
Figure 4 Market Size Estimation Methodology: Approach 2 Bottom-Up (Demand Side): Products/Solutions/Services Sold and Their Average Selling Price
Figure 5 Market, By Component
Figure 6 Market, By Service
Figure 7 Market, By Professional Service
Figure 8 Market, By Deployment Mode
Figure 9 Market, By Organization Size
Figure 10 Market, By Business Function
Figure 11 Market, By Industry Vertical
Figure 12 Data Science Platform Market, By Region
Figure 13 Rise in Adoption of Advanced Technologies, Such as Ai and Analytics, and Higher Inclination of Enterprises Toward Data-Intensive Business Strategies Driving the Overall Growth of the Market
Figure 14 Marketing Segment to Hold the Largest Market Size During the Forecast Period
Figure 15 North America to Hold the Highest Market Share in 2019
Figure 16 Marketing Segment and Banking, Financial Services, and Insurance Industry Vertical Accounted for the Highest Shares in the Market in 2019
Figure 17 Drivers, Restraints, Opportunities, and Challenges: Market
Figure 18 Value Chain Analysis: Data Science Platform Market
Figure 19 Services Segment to Register a Higher CAGR During the Forecast Period
Figure 20 Managed Services Segment to Grow at a Higher CAGR During the Forecast Period
Figure 21 Support and Maintenance Segment to Grow at the Highest CAGR During the Forecast Period
Figure 22 Cloud Segment to Register a Higher CAGR During the Forecast Period
Figure 23 Small and Medium-Sized Enterprises Segment to Register a Higher CAGR During the Forecast Period
Figure 24 Logistics Segment to Register the Highest CAGR During the Forecast Period
Figure 25 Banking, Financial Services, and Insurance Industry Vertical to Hold the Largest Market Size During the Forecast Period
Figure 26 North America to Account for the Largest Market Size During the Forecast Period
Figure 27 India to Register the Highest CAGR During the Forecast Period
Figure 28 Asia Pacific to Grow at the Highest CAGR During the Forecast Period
Figure 29 North America: Market Snapshot
Figure 30 Logistics Segment to Register the Highest CAGR During the Forecast Period
Figure 31 Logistics Segment to Grow at the Highest CAGR During the Forecast Period
Figure 32 Asia Pacific: Market Snapshot
Figure 33 Logistics Segment to Grow at the Highest CAGR During the Forecast Period
Figure 34 Logistics to Grow at the Highest CAGR During the Forecast Period
Figure 35 Logistics Segment to Grow at the Highest CAGR During the Forecast Period
Figure 36 Data Science Platform Market (Global), Competitive Leadership Mapping, 2019
Figure 37 Microsoft: Company Snapshot
Figure 38 SWOT Analysis: Microsoft
Figure 39 IBM: Company Snapshot
Figure 40 SWOT Analysis: IBM
Figure 41 Google: Company Snapshot
Figure 42 SWOT Analysis: Google
Figure 43 SAS Institute: Company Snapshot
Figure 44 SWOT Analysis: SAS Institute
Figure 45 Altair: Company Snapshot
Figure 46 SWOT Analysis: Altair
Figure 47 Cloudera: Company Snapshot
Figure 48 Alteryx: Company Snapshot



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