Data Science Platform Market

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $5,000	336 Pages	Future Market Insights	February, 2023	FMARI18998600

Best Price Guarantee
Price	from $5,000
Length	336 Pages
Publisher	Future Market Insights
Published Date	February, 2023
SKU	FMARI18998600

Data Science Platform Market

Data Science Platform Market: Global Industry Analysis 2016-2022 and Opportunity Assessment 2023-2033

A recent market study published by FMI on Data Science Platform offers a global industry analysis for 2016-2022 and opportunity assessment for 2023-2033. The study offers a comprehensive assessment of the most important market dynamics. After conducting thorough research on the historical and current growth parameters, the growth prospects of the market are obtained with maximum precision.

Market Segmentation

By Deployment:

Cloud
On-premise

By Application:

Business Operation
Marketing
Finance & Accounting
Logistics
Customer Support
Others

By Enterprise Type:

Large Enterprises
Small and Medium Enterprises

By Industry:

BFSI
IT & Telecom
Healthcare
Retail
Manufacturing
Transportation
Others

By Region:

North America
Europe
Asia Pacific
Latin America
MEA

Report Chapters

Executive Summary

The executive summary of the Data Science Platform Market includes the global market outlook, demand side trends, supply side trends and also include FMI analysis and recommendations of Vehicle Radar Test System.

Chapter 01 - Market Overview

Readers can find the detailed segmentation and definition of the Data Science Platform Market in this chapter, which will help to understand basic information about Vehicle Radar Test System. This section also highlights the market scope, taxonomy and limitations which help the reader understand the market coverage of Data Science Platform Market report.

Chapter 02 - Market Background

This chapter includes detailed analysis of the By Deployment processing methods overview, consumer buying patterns & tendencies and policy developments and regulatory scenario. It also includes in depth analysis of macro-economic factors and covers topics like global GDP growth outlook, global industry value added, personal consumption, expenditures, modern trade penetration and consumer price indices. The chapter also covers forecast factors - relevance & impact, value chain analysis and market dynamics (drivers, restraints and opportunities) to better understand the market.

Chapter 03 - Global Data Science Platform Market Demand Analysis 2016-2022 and Forecast, 2023-2033

The chapter include historical market value (US$ 82.74 billion) analysis (2016-2022) and current and future market value (US$ 106.74 billion) and volume (29%) projections (2023-2033). The projections are based on the Y-O-Y growth trend analysis and absolute $ opportunity analysis country of operation.

Chapter 04 - Global Data Science Platform Market - Pricing Analysis

Based on By Deployment, the pricing analysis chapter include Regional pricing analysis (USD/MT), global average pricing analysis benchmark, and key factors impacting the pricing.

Chapter 05 - Global Data Science Platform Market Analysis 2016-2022 and Forecast 2023-2033, By Deployment

Based on By Deployment, Data Science Platform Market is segmented into Cloud, On-premise. Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By Deployment.

Chapter 06 - Global Data Science Platform Market Analysis 2016-2022 and Forecast 2023-2033, By Application

Based on By Application, Data Science Platform Market is segmented into Business Operation, Marketing, Finance & Accounting, Logistics, Customer Support, Others. This section also offers market attractiveness analysis based on By Application. Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By Application.

Chapter 07 - Global Data Science Platform Market Analysis 2016-2022 and Forecast 2023-2033, By Enterprise Type

Based on By Enterprise Type, Data Science Platform Market is segmented into Large Enterprises, Small and Medium Enterprises. This section also offers market attractiveness analysis based on By Enterprise Type. Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By Enterprise Type.

Chapter 08 - Global Data Science Platform Market Analysis 2016-2022 and Forecast 2023-2033, By Industry

Based on By Industry, Data Science Platform Market is segmented into BFSI, IT & Telecom, Healthcare, Retail, Manufacturing, Transportation, Others. This section also offers market attractiveness analysis based on By Industry. Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By Industry.

Chapter 09 - Data Science Platform Market Analysis 2016-2022 and Forecast 2023-2033, By Region

Based on By Region, Data Science Platform Market is segmented into North America, Latin America, Europe, East Asia, South Asia, Oceania and MEA. This section also offers market attractiveness analysis based on By Region. Readers can also find value forecast and Y-o-Y growth comparison for all above mentioned By Region.

Chapter 10 - North America Data Science Platform Market Analysis 2016-2022 and Forecast 2023-2033

This chapter includes a detailed analysis of the growth of the Vehicle Radar Test System in the North American region, along with a country-wise assessment that includes the US and Canada. Readers can also find regional trends, regulations, and market growth based on different segment and countries in the North America region.

Chapter 11 - Latin America Data Science Platform Market Analysis 2016-2022 and Forecast 2023-2033

This chapter includes a detailed analysis of the growth of Vehicle Radar Test System in the Latin America region, along with a country-wise assessment that includes the Brazil, Mexico, Chile, Argentina, Peru and Rest of Latin America. Readers can find detailed information about several factors, such as the pricing analysis and regional trends, which are impacting growth of the Data Science Platform Market in the Latin America region.

Chapter 12 - Europe Data Science Platform Market Analysis 2016-2022 and Forecast 2023-2033

This chapter includes a detailed analysis of the growth of Vehicle Radar Test System in the European region, along with a country-wise assessment that includes the Germany, Italy, France, U.K., Spain, Russia, Nordic, Benelux and Rest of Europe. Readers can find detailed information about several factors, such as the pricing analysis and regional trends, which are impacting growth of the Data Science Platform Market in the regional market.

Chapter 13 - East Asia Data Science Platform Market Analysis 2016-2022 and Forecast 2023-2033

This chapter includes a detailed analysis of the growth of Vehicle Radar Test System in the East Asia region, along with a country-wise assessment that includes the China, Japan, and South Korea. Readers can find detailed information about several factors, such as the pricing analysis and regional trends, which are impacting growth of the Data Science Platform Market in the regional market.

Chapter 14 - South Asia Data Science Platform Market Analysis 2016-2022 and Forecast 2023-2033

This chapter includes a detailed analysis of the growth of Vehicle Radar Test System in the South Asia region, along with a country-wise assessment that includes the India, Indonesia, Malaysia, Thailand, and Rest of South Asia. Readers can find detailed information about several factors, such as the pricing analysis and regional trends, which are impacting growth of the Data Science Platform Market in the regional market.

Chapter 15 - Middle East and Africa Data Science Platform Market Analysis 2016-2022 and Forecast 2023-2033

This chapter includes a detailed analysis of the growth of Vehicle Radar Test System in the MEA region, along with a country-wise assessment that includes the GCC Countries, South Africa, North Africa, Turkey and Rest of MEA. Readers can find detailed information about several factors, such as the pricing analysis and regional trends, which are impacting growth of the Data Science Platform Market in the regional market.

Chapter 16 - Key Countries Data Science Platform Market Analysis 2016-2022 and Forecast 2023-2033

This chapter offers insights into how the Data Science Platform Market is expected to grow in major countries globally.

Chapter 17 - Market Structure Analysis- Global Assessment

This chapter includes company dashboard, industry structure analysis by tier of companies, 2022E, company share analysis of top players, 2022E, and competition benchmarking- matrix.

Chapter 18 - Competition Deep Dive (Tentative List)

This chapter includes company overview, By Deployment portfolio of companies, profitability by market segments, sales footprint, SWOT analysis and strategy overview of the companies being studied in the report. Some of the market players featured in the report are IBM Corporation, Dataiku, DataRobot Inc., TIBCO Software Inc., Databricks, The Mathworks Inc., SAS Institute Inc., Microsoft Corporation, Alteryx Inc., Oracle Corporation.

Chapter 19 - Assumptions and Acronyms

This chapter includes a list of acronyms and assumptions that provide a base to the information and statistics included in the Vehicle Radar Test System report.

Chapter 20 - Research Methodology

This chapter helps readers understand the research methodology followed to obtain various conclusions, as well as important qualitative and quantitative information, on Data Science Platform Market.

1. Executive Summary | Data Science Platform Market: 1.1. Global Market Outlook; 1.2. Demand-side Trends; 1.3. Supply-side Trends; 1.4. Technology Roadmap Analysis; 1.5. Analysis and Recommendations
2. Market Overview: 2.1. Market Coverage / Taxonomy; 2.2. Market Definition / Scope / Limitations
3. Market Background: 3.1. Market Dynamics; 3.1.1. Drivers; 3.1.2. Restraints; 3.1.3. Opportunity; 3.1.4. Trends; 3.2. Scenario Forecast; 3.2.1. Demand in Optimistic Scenario; 3.2.2. Demand in Likely Scenario; 3.2.3. Demand in Conservative Scenario; 3.3. Opportunity Map Analysis; 3.4. Investment Feasibility Matrix; 3.5. PESTLE and Porter’s Analysis; 3.6. Regulatory Landscape; 3.6.1. By Key Regions; 3.6.2. By Key Countries; 3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033: 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022; 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033; 4.2.1. Y-o-Y Growth Trend Analysis; 4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component: 5.1. Introduction / Key Findings; 5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022; 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033; 5.3.1. Platform; 5.3.2. Services; 5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022; 5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Mode: 6.1. Introduction / Key Findings; 6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Mode, 2018 to 2022; 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Mode, 2023 to 2033; 6.3.1. Cloud; 6.3.2. On-premises; 6.4. Y-o-Y Growth Trend Analysis By Deployment Mode, 2018 to 2022; 6.5. Absolute $ Opportunity Analysis By Deployment Mode, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size: 7.1. Introduction / Key Findings; 7.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size , 2018 to 2022; 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size , 2023 to 2033; 7.3.1. Small and Medium-Sized Enterprises; 7.3.2. Large Enterprises; 7.4. Y-o-Y Growth Trend Analysis By Enterprise Size , 2018 to 2022; 7.5. Absolute $ Opportunity Analysis By Enterprise Size , 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application: 8.1. Introduction / Key Findings; 8.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022; 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033; 8.3.1. Marketing & Sales; 8.3.2. Logistics; 8.3.3. Finance and Accounting; 8.3.4. Customer Support; 8.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022; 8.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End-User: 9.1. Introduction / Key Findings; 9.2. Historical Market Size Value (US$ Million) Analysis By End-User, 2018 to 2022; 9.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End-User, 2023 to 2033; 9.3.1. BFSI; 9.3.2. IT and Telecom; 9.3.3. Transportation; 9.3.4. Healthcare; 9.3.5. Government and Defence; 9.3.6. Energy and Utilities; 9.3.7. Retail and E-Commerce; 9.4. Y-o-Y Growth Trend Analysis By End-User, 2018 to 2022; 9.5. Absolute $ Opportunity Analysis By End-User, 2023 to 2033
10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region: 10.1. Introduction; 10.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022; 10.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033; 10.3.1. North America; 10.3.2. Latin America; 10.3.3. Europe; 10.3.4. South Asia; 10.3.5. East Asia; 10.3.6. Oceania; 10.3.7. MEA; 10.4. Market Attractiveness Analysis By Region
11. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country: 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022; 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033; 11.2.1. By Country; 11.2.1.1. The USA; 11.2.1.2. Canada; 11.2.2. By Component; 11.2.3. By Deployment Mode; 11.2.4. By Enterprise Size; 11.2.5. By Application; 11.2.6. By End-User; 11.3. Market Attractiveness Analysis; 11.3.1. By Country; 11.3.2. By Component; 11.3.3. By Deployment Mode; 11.3.4. By Enterprise Size; 11.3.5. By Application; 11.3.6. By End-User; 11.4. Key Takeaways
12. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country: 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022; 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033; 12.2.1. By Country; 12.2.1.1. Brazil; 12.2.1.2. Mexico; 12.2.1.3. Rest of Latin America; 12.2.2. By Component; 12.2.3. By Deployment Mode; 12.2.4. By Enterprise Size; 12.2.5. By Application; 12.2.6. By End-User; 12.3. Market Attractiveness Analysis; 12.3.1. By Country; 12.3.2. By Component; 12.3.3. By Deployment Mode; 12.3.4. By Enterprise Size; 12.3.5. By Application; 12.3.6. By End-User; 12.4. Key Takeaways
13. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country: 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022; 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033; 13.2.1. By Country; 13.2.1.1. Germany; 13.2.1.2. United Kingdom; 13.2.1.3. France; 13.2.1.4. Spain; 13.2.1.5. Italy; 13.2.1.6. Rest of Europe; 13.2.2. By Component; 13.2.3. By Deployment Mode; 13.2.4. By Enterprise Size; 13.2.5. By Application; 13.2.6. By End-User; 13.3. Market Attractiveness Analysis; 13.3.1. By Country; 13.3.2. By Component; 13.3.3. By Deployment Mode; 13.3.4. By Enterprise Size; 13.3.5. By Application; 13.3.6. By End-User; 13.4. Key Takeaways
14. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country: 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022; 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033; 14.2.1. By Country; 14.2.1.1. India; 14.2.1.2. Malaysia; 14.2.1.3. Singapore; 14.2.1.4. Thailand; 14.2.1.5. Rest of South Asia; 14.2.2. By Component; 14.2.3. By Deployment Mode; 14.2.4. By Enterprise Size; 14.2.5. By Application; 14.2.6. By End-User; 14.3. Market Attractiveness Analysis; 14.3.1. By Country; 14.3.2. By Component; 14.3.3. By Deployment Mode; 14.3.4. By Enterprise Size; 14.3.5. By Application; 14.3.6. By End-User; 14.4. Key Takeaways
15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country: 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022; 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033; 15.2.1. By Country; 15.2.1.1. China; 15.2.1.2. Japan; 15.2.1.3. South Korea; 15.2.2. By Component; 15.2.3. By Deployment Mode; 15.2.4. By Enterprise Size; 15.2.5. By Application; 15.2.6. By End-User; 15.3. Market Attractiveness Analysis; 15.3.1. By Country; 15.3.2. By Component; 15.3.3. By Deployment Mode; 15.3.4. By Enterprise Size; 15.3.5. By Application; 15.3.6. By End-User; 15.4. Key Takeaways
16. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country: 16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022; 16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033; 16.2.1. By Country; 16.2.1.1. Australia; 16.2.1.2. New Zealand; 16.2.2. By Component; 16.2.3. By Deployment Mode; 16.2.4. By Enterprise Size; 16.2.5. By Application; 16.2.6. By End-User; 16.3. Market Attractiveness Analysis; 16.3.1. By Country; 16.3.2. By Component; 16.3.3. By Deployment Mode; 16.3.4. By Enterprise Size; 16.3.5. By Application; 16.3.6. By End-User; 16.4. Key Takeaways
17. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country: 17.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022; 17.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033; 17.2.1. By Country; 17.2.1.1. GCC Countries; 17.2.1.2. South Africa; 17.2.1.3. Israel; 17.2.1.4. Rest of MEA; 17.2.2. By Component; 17.2.3. By Deployment Mode; 17.2.4. By Enterprise Size; 17.2.5. By Application; 17.2.6. By End-User; 17.3. Market Attractiveness Analysis; 17.3.1. By Country; 17.3.2. By Component; 17.3.3. By Deployment Mode; 17.3.4. By Enterprise Size; 17.3.5. By Application; 17.3.6. By End-User; 17.4. Key Takeaways
18. Key Countries Market Analysis: 18.1. USA; 18.1.1. Pricing Analysis; 18.1.2. Market Share Analysis, 2022; 18.1.2.1. By Component; 18.1.2.2. By Deployment Mode; 18.1.2.3. By Enterprise Size; 18.1.2.4. By Application; 18.1.2.5. By End-User; 18.2. Canada; 18.2.1. Pricing Analysis; 18.2.2. Market Share Analysis, 2022; 18.2.2.1. By Component; 18.2.2.2. By Deployment Mode; 18.2.2.3. By Enterprise Size; 18.2.2.4. By Application; 18.2.2.5. By End-User; 18.3. Brazil; 18.3.1. Pricing Analysis; 18.3.2. Market Share Analysis, 2022; 18.3.2.1. By Component; 18.3.2.2. By Deployment Mode; 18.3.2.3. By Enterprise Size; 18.3.2.4. By Application; 18.3.2.5. By End-User; 18.4. Mexico; 18.4.1. Pricing Analysis; 18.4.2. Market Share Analysis, 2022; 18.4.2.1. By Component; 18.4.2.2. By Deployment Mode; 18.4.2.3. By Enterprise Size; 18.4.2.4. By Application; 18.4.2.5. By End-User; 18.5. Germany; 18.5.1. Pricing Analysis; 18.5.2. Market Share Analysis, 2022; 18.5.2.1. By Component; 18.5.2.2. By Deployment Mode; 18.5.2.3. By Enterprise Size; 18.5.2.4. By Application; 18.5.2.5. By End-User; 18.6. United Kingdom; 18.6.1. Pricing Analysis; 18.6.2. Market Share Analysis, 2022; 18.6.2.1. By Component; 18.6.2.2. By Deployment Mode; 18.6.2.3. By Enterprise Size; 18.6.2.4. By Application; 18.6.2.5. By End-User; 18.7. France; 18.7.1. Pricing Analysis; 18.7.2. Market Share Analysis, 2022; 18.7.2.1. By Component; 18.7.2.2. By Deployment Mode; 18.7.2.3. By Enterprise Size; 18.7.2.4. By Application; 18.7.2.5. By End-User; 18.8. Spain; 18.8.1. Pricing Analysis; 18.8.2. Market Share Analysis, 2022; 18.8.2.1. By Component; 18.8.2.2. By Deployment Mode; 18.8.2.3. By Enterprise Size; 18.8.2.4. By Application; 18.8.2.5. By End-User; 18.9. Italy; 18.9.1. Pricing Analysis; 18.9.2. Market Share Analysis, 2022; 18.9.2.1. By Component; 18.9.2.2. By Deployment Mode; 18.9.2.3. By Enterprise Size; 18.9.2.4. By Application; 18.9.2.5. By End-User; 18.10. India; 18.10.1. Pricing Analysis; 18.10.2. Market Share Analysis, 2022; 18.10.2.1. By Component; 18.10.2.2. By Deployment Mode; 18.10.2.3. By Enterprise Size; 18.10.2.4. By Application; 18.10.2.5. By End-User; 18.11. Malaysia; 18.11.1. Pricing Analysis; 18.11.2. Market Share Analysis, 2022; 18.11.2.1. By Component; 18.11.2.2. By Deployment Mode; 18.11.2.3. By Enterprise Size; 18.11.2.4. By Application; 18.11.2.5. By End-User; 18.12. Singapore; 18.12.1. Pricing Analysis; 18.12.2. Market Share Analysis, 2022; 18.12.2.1. By Component; 18.12.2.2. By Deployment Mode; 18.12.2.3. By Enterprise Size; 18.12.2.4. By Application; 18.12.2.5. By End-User; 18.13. Thailand; 18.13.1. Pricing Analysis; 18.13.2. Market Share Analysis, 2022; 18.13.2.1. By Component; 18.13.2.2. By Deployment Mode; 18.13.2.3. By Enterprise Size; 18.13.2.4. By Application; 18.13.2.5. By End-User; 18.14. China; 18.14.1. Pricing Analysis; 18.14.2. Market Share Analysis, 2022; 18.14.2.1. By Component; 18.14.2.2. By Deployment Mode; 18.14.2.3. By Enterprise Size; 18.14.2.4. By Application; 18.14.2.5. By End-User; 18.15. Japan; 18.15.1. Pricing Analysis; 18.15.2. Market Share Analysis, 2022; 18.15.2.1. By Component; 18.15.2.2. By Deployment Mode; 18.15.2.3. By Enterprise Size; 18.15.2.4. By Application; 18.15.2.5. By End-User; 18.16. South Korea; 18.16.1. Pricing Analysis; 18.16.2. Market Share Analysis, 2022; 18.16.2.1. By Component; 18.16.2.2. By Deployment Mode; 18.16.2.3. By Enterprise Size; 18.16.2.4. By Application; 18.16.2.5. By End-User; 18.17. Australia; 18.17.1. Pricing Analysis; 18.17.2. Market Share Analysis, 2022; 18.17.2.1. By Component; 18.17.2.2. By Deployment Mode; 18.17.2.3. By Enterprise Size; 18.17.2.4. By Application; 18.17.2.5. By End-User; 18.18. New Zealand; 18.18.1. Pricing Analysis; 18.18.2. Market Share Analysis, 2022; 18.18.2.1. By Component; 18.18.2.2. By Deployment Mode; 18.18.2.3. By Enterprise Size; 18.18.2.4. By Application; 18.18.2.5. By End-User; 18.19. GCC Countries; 18.19.1. Pricing Analysis; 18.19.2. Market Share Analysis, 2022; 18.19.2.1. By Component; 18.19.2.2. By Deployment Mode; 18.19.2.3. By Enterprise Size; 18.19.2.4. By Application; 18.19.2.5. By End-User; 18.20. South Africa; 18.20.1. Pricing Analysis; 18.20.2. Market Share Analysis, 2022; 18.20.2.1. By Component; 18.20.2.2. By Deployment Mode; 18.20.2.3. By Enterprise Size; 18.20.2.4. By Application; 18.20.2.5. By End-User; 18.21. Israel; 18.21.1. Pricing Analysis; 18.21.2. Market Share Analysis, 2022; 18.21.2.1. By Component; 18.21.2.2. By Deployment Mode; 18.21.2.3. By Enterprise Size; 18.21.2.4. By Application; 18.21.2.5. By End-User
19. Market Structure Analysis: 19.1. Competition Dashboard; 19.2. Competition Benchmarking; 19.3. Market Share Analysis of Top Players; 19.3.1. By Regional; 19.3.2. By Component; 19.3.3. By Deployment Mode; 19.3.4. By Enterprise Size; 19.3.5. By Application; 19.3.6. By End-User
20. Competition Analysis: 20.1. Competition Deep Dive; 20.1.1. Google, Inc; 20.1.1.1. Overview; 20.1.1.2. Product Portfolio; 20.1.1.3. Profitability by Market Segments; 20.1.1.4. Sales Footprint; 20.1.1.5. Strategy Overview; 20.1.1.5.1. Marketing Strategy; 20.1.2. Alteryx, Inc.; 20.1.2.1. Overview; 20.1.2.2. Product Portfolio; 20.1.2.3. Profitability by Market Segments; 20.1.2.4. Sales Footprint; 20.1.2.5. Strategy Overview; 20.1.2.5.1. Marketing Strategy; 20.1.3. Microsoft Corporation; 20.1.3.1. Overview; 20.1.3.2. Product Portfolio; 20.1.3.3. Profitability by Market Segments; 20.1.3.4. Sales Footprint; 20.1.3.5. Strategy Overview; 20.1.3.5.1. Marketing Strategy; 20.1.4. IBM Corporation; 20.1.4.1. Overview; 20.1.4.2. Product Portfolio; 20.1.4.3. Profitability by Market Segments; 20.1.4.4. Sales Footprint; 20.1.4.5. Strategy Overview; 20.1.4.5.1. Marketing Strategy; 20.1.5. SAS Institute, Inc.; 20.1.5.1. Overview; 20.1.5.2. Product Portfolio; 20.1.5.3. Profitability by Market Segments; 20.1.5.4. Sales Footprint; 20.1.5.5. Strategy Overview; 20.1.5.5.1. Marketing Strategy; 20.1.6. Cloudera, Inc.; 20.1.6.1. Overview; 20.1.6.2. Product Portfolio; 20.1.6.3. Profitability by Market Segments; 20.1.6.4. Sales Footprint; 20.1.6.5. Strategy Overview; 20.1.6.5.1. Marketing Strategy; 20.1.7. Dataiku SAS; 20.1.7.1. Overview; 20.1.7.2. Product Portfolio; 20.1.7.3. Profitability by Market Segments; 20.1.7.4. Sales Footprint; 20.1.7.5. Strategy Overview; 20.1.7.5.1. Marketing Strategy; 20.1.8. RapidMiner, Inc; 20.1.8.1. Overview; 20.1.8.2. Product Portfolio; 20.1.8.3. Profitability by Market Segments; 20.1.8.4. Sales Footprint; 20.1.8.5. Strategy Overview; 20.1.8.5.1. Marketing Strategy; 20.1.9. Wolfram Research; 20.1.9.1. Overview; 20.1.9.2. Product Portfolio; 20.1.9.3. Profitability by Market Segments; 20.1.9.4. Sales Footprint; 20.1.9.5. Strategy Overview; 20.1.9.5.1. Marketing Strategy; 20.1.10. Teradata Corporation; 20.1.10.1. Overview; 20.1.10.2. Product Portfolio; 20.1.10.3. Profitability by Market Segments; 20.1.10.4. Sales Footprint; 20.1.10.5. Strategy Overview; 20.1.10.5.1. Marketing Strategy; 20.1.11. WNS Global Services Pvt. Ltd.; 20.1.11.1. Overview; 20.1.11.2. Product Portfolio; 20.1.11.3. Profitability by Market Segments; 20.1.11.4. Sales Footprint; 20.1.11.5. Strategy Overview; 20.1.11.5.1. Marketing Strategy; 20.1.12. H2O.ai; 20.1.12.1. Overview; 20.1.12.2. Product Portfolio; 20.1.12.3. Profitability by Market Segments; 20.1.12.4. Sales Footprint; 20.1.12.5. Strategy Overview; 20.1.12.5.1. Marketing Strategy; 20.1.13. TIBCO Software Inc.; 20.1.13.1. Overview; 20.1.13.2. Product Portfolio; 20.1.13.3. Profitability by Market Segments; 20.1.13.4. Sales Footprint; 20.1.13.5. Strategy Overview; 20.1.13.5.1. Marketing Strategy; 20.1.14. Oracle; 20.1.14.1. Overview; 20.1.14.2. Product Portfolio; 20.1.14.3. Profitability by Market Segments; 20.1.14.4. Sales Footprint; 20.1.14.5. Strategy Overview; 20.1.14.5.1. Marketing Strategy
21. Assumptions & Acronyms Used
22. Research Methodology