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Data Science Platform Market by Component (Platform, Services), Organization Size (Large Enterprises, Small & Medium-Sized Enterprises), Business Function, Deployment, Industry Vertical - Global Forecast 2024-2030

Publisher 360iResearch
Published Jan 15, 2024
Length 182 Pages
SKU # IRE18442580

Description

Data Science Platform Market by Component (Platform, Services), Organization Size (Large Enterprises, Small & Medium-Sized Enterprises), Business Function, Deployment, Industry Vertical - Global Forecast 2024-2030


The Data Science Platform Market size was estimated at USD 76.83 billion in 2023 and expected to reach USD 92.47 billion in 2024, at a CAGR 20.44% to reach USD 282.59 billion by 2030.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Data Science Platform Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Data Science Platform Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Data Science Platform Market, highlighting leading vendors and their innovative profiles. These include Altair Engineering Inc., Alteryx, Inc., Anaconda Inc., Civis Analytics, Inc., Cloudera, Inc., Domino Data Lab, Inc., Fair Issac Corporation, Google LLC by Alphabet Inc., International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Teradata Corporation, and Tibco Software Inc..

Market Segmentation & Coverage

This research report categorizes the Data Science Platform Market to forecast the revenues and analyze trends in each of the following sub-markets:

Component
Platform

Services
Managed Services
Professional Services
Organization Size
Large Enterprises

Small & Medium-Sized Enterprises
Business Function
Customer Support

Finance & Accounting

Logistics

Marketing

Sales
Deployment
On-Cloud

On-Premises
Industry Vertical
Banking, Financial Services, & Insurance

Energy & Utilities

Government & Defense

Healthcare & Life Sciences

Manufacturing

Media & Entertainment

Retail & Ecommerce

Telecom & IT

Transportation & Logistics
Region
Americas
Argentina
Brazil
Canada
Mexico
United States
California
Florida
Illinois
New York
Ohio
Pennsylvania
Texas

Asia-Pacific
Australia
China
India
Indonesia
Japan
Malaysia
Philippines
Singapore
South Korea
Taiwan
Thailand
Vietnam

Europe, Middle East & Africa
Denmark
Egypt
Finland
France
Germany
Israel
Italy
Netherlands
Nigeria
Norway
Poland
Qatar
Russia
Saudi Arabia
South Africa
Spain
Sweden
Switzerland
Turkey
United Arab Emirates
United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Data Science Platform Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Data Science Platform Market?
3. What are the technology trends and regulatory frameworks in the Data Science Platform Market?
4. What is the market share of the leading vendors in the Data Science Platform Market?
5. Which modes and strategic moves are suitable for entering the Data Science Platform Market?PDF E-mail From Publisher (2-5)Users License

Table of Contents

182 Pages
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Data Science Platform Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increasing focus on data-driven business decisions
5.1.1.2. Rising adoption rates with demand for improved marketing & sales strategies
5.1.1.3. Growing demand to extract meaningful insights from voluminous data
5.1.2. Restraints
5.1.2.1. High cost of solution
5.1.3. Opportunities
5.1.3.1. Integrated platform with advanced technology such as AI & ML enabling intelligent business solutions
5.1.3.2. Expanding end-use industries and increasing investment in productivity-boosting technologies
5.1.4. Challenges
5.1.4.1. Data privacy and security issues
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter’s Five Forces Analysis
5.5.1. Threat of New Entrants
5.5.2. Threat of Substitutes
5.5.3. Bargaining Power of Customers
5.5.4. Bargaining Power of Suppliers
5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
6. Data Science Platform Market, by Component
6.1. Introduction
6.2. Platform
6.3. Services
6.4.1. Managed Services
6.4.2. Professional Services
7. Data Science Platform Market, by Organization Size
7.1. Introduction
7.2. Large Enterprises
7.3. Small & Medium-Sized Enterprises
8. Data Science Platform Market, by Business Function
8.1. Introduction
8.2. Customer Support
8.3. Finance & Accounting
8.4. Logistics
8.5. Marketing
8.6. Sales
9. Data Science Platform Market, by Deployment
9.1. Introduction
9.2. On-Cloud
9.3. On-Premises
10. Data Science Platform Market, by Industry Vertical
10.1. Introduction
10.2. Banking, Financial Services, & Insurance
10.3. Energy & Utilities
10.4. Government & Defense
10.5. Healthcare & Life Sciences
10.6. Manufacturing
10.7. Media & Entertainment
10.8. Retail & Ecommerce
10.9. Telecom & IT
10.10. Transportation & Logistics
11. Americas Data Science Platform Market
11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States
12. Asia-Pacific Data Science Platform Market
12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam
13. Europe, Middle East & Africa Data Science Platform Market
13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom
14. Competitive Landscape
14.1. FPNV Positioning Matrix
14.2. Market Share Analysis, By Key Player
14.3. Competitive Scenario Analysis, By Key Player
15. Competitive Portfolio
15.1. Key Company Profiles
15.1.1. Altair Engineering Inc.
15.1.2. Alteryx, Inc.
15.1.3. Anaconda Inc.
15.1.4. Civis Analytics, Inc.
15.1.5. Cloudera, Inc.
15.1.6. Domino Data Lab, Inc.
15.1.7. Fair Issac Corporation
15.1.8. Google LLC by Alphabet Inc.
15.1.9. International Business Machines Corporation
15.1.10. Microsoft Corporation
15.1.11. Oracle Corporation
15.1.12. SAP SE
15.1.13. SAS Institute Inc.
15.1.14. Teradata Corporation
15.1.15. Tibco Software Inc.
15.2. Key Product Portfolio
16. Appendix
16.1. Discussion Guide
16.2. License & Pricing
FIGURE 1. DATA SCIENCE PLATFORM MARKET RESEARCH PROCESS
FIGURE 2. DATA SCIENCE PLATFORM MARKET SIZE, 2023 VS 2030
FIGURE 3. DATA SCIENCE PLATFORM MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. DATA SCIENCE PLATFORM MARKET SIZE, BY REGION, 2023 VS 2030 (%)
FIGURE 5. DATA SCIENCE PLATFORM MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. DATA SCIENCE PLATFORM MARKET DYNAMICS
FIGURE 7. DATA SCIENCE PLATFORM MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
FIGURE 8. DATA SCIENCE PLATFORM MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 9. DATA SCIENCE PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2030 (%)
FIGURE 10. DATA SCIENCE PLATFORM MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 11. DATA SCIENCE PLATFORM MARKET SIZE, BY BUSINESS FUNCTION, 2023 VS 2030 (%)
FIGURE 12. DATA SCIENCE PLATFORM MARKET SIZE, BY BUSINESS FUNCTION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 13. DATA SCIENCE PLATFORM MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
FIGURE 14. DATA SCIENCE PLATFORM MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 15. DATA SCIENCE PLATFORM MARKET SIZE, BY INDUSTRY VERTICAL, 2023 VS 2030 (%)
FIGURE 16. DATA SCIENCE PLATFORM MARKET SIZE, BY INDUSTRY VERTICAL, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 17. AMERICAS DATA SCIENCE PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 18. AMERICAS DATA SCIENCE PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 19. UNITED STATES DATA SCIENCE PLATFORM MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 20. UNITED STATES DATA SCIENCE PLATFORM MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 21. ASIA-PACIFIC DATA SCIENCE PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 22. ASIA-PACIFIC DATA SCIENCE PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 23. EUROPE, MIDDLE EAST & AFRICA DATA SCIENCE PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 24. EUROPE, MIDDLE EAST & AFRICA DATA SCIENCE PLATFORM MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 25. DATA SCIENCE PLATFORM MARKET, FPNV POSITIONING MATRIX, 2023
FIGURE 26. DATA SCIENCE PLATFORM MARKET SHARE, BY KEY PLAYER, 2023

Pricing

Currency Rates
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