Data Science Platform Market - Forecasts from 2019 to 2024

October 2019 | 107 pages | ID: DCCBEC5DF6AAEN
Knowledge Sourcing Intelligence LLP

Abstracts

The data science platform market is projected to grow at a CAGR of 29.46% to reach US$173.849 billion by 2024, from US$36.931 billion in 2018. Pain may be defined as the unpleasant sensory experience caused due to damage to the tissue or illness. The continuous growth of businesses across industries is steering them away from legacy data science processes that use disjointed tools to support the workflow of various departments. Huge costs and complexity of processes associated with the use of such tools are some of the key factors powering this drift. Ease of pooling resources from a centralized place and quicker deployment of analytics models facilitated by data science platforms are further moving the enterprises towards them, thus boosting the growth of the market. The growth of the market is expected to remain solid as businesses continue to adopt data-intensive business strategies. As these platforms continue to become advanced, enterprises can expect higher returns on their investment in end-to-end data science platform implementation. This will drive market growth over the projected period.

The “Data Science Platform Market – Forecasts from 2019 to 2024” is an exhaustive study which aims to present the key market trends through various chapters focusing on different aspects of the market. The study provides a detailed market overview through the market dynamics sections which detail key market, drivers, restraints, and opportunities in the current market. The report analyzes key opportunity regional markets, and the current technology penetration through lifecycle analysis. The report also analyzes the market through comprehensive market segmentation by offering, deployment, end-user industry and, geography.

The data science platform market has been segmented based on offering, deployment, end-user industry, and geography. By offering the market is segmented into solutions and services. By deployment, the market is segmented as cloud-based and on-premise. By end-user industry the market has been segmented to BFSI, communication and technology, retail, media and entertainment, manufacturing, and others.

Regional analysis has been provided with detailed analysis and forecast for the period 2018 to 2024. The global market has been broken down into North America, South America, Europe, Middle East and Africa, and Asia Pacific regions. The report also analyzes 15 countries across these regions with thorough analysis and forecast along with prevailing market trends and opportunities which each of these countries present for the manufacturers.

Major players in the data science platform market have been covered along with their relative competitive position and strategies. The report also mentions recent deals and investments of different market players over the last year. The company profiles section details the business overview, financial performance for the past three years, key products and services being offered along with the recent developments of these important players in the data science platform market.

Segmentation

The data science platform market has been analyzed through following segments:

By Offering

• Solutions
• Services

By Deployment

• Cloud
• On-premise

By End-User Industry

• BFSI
• Communication and Technology
• Retail
• Media and Entertainment
• Manufacturing
• Others

By Geography

• North America
• United States
• Canada
• Mexico
• South America
• Brazil
• Argentina
• Others
• Europe
• United Kingdom
• Germany
• France
• Italy
• Others
• Middle East and Africa
• Saudi Arabia
• Israel
• Others
• Asia Pacific
• China
• Japan
• India
• South Korea
• Others

Contents

1. INTRODUCTION

1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Currency
1.5. Assumptions
1.6. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

2.1. Research Design
2.2. Secondary Sources

3. EXECUTIVE SUMMARY

4. MARKET DYNAMICS

4.1. Market Segmentation
4.2. Market Drivers
4.3. Market Restraints
4.4. Market Opportunities
4.5. Porter’s Five Forces Analysis
  4.5.1. Bargaining Power of Suppliers
  4.5.2. Bargaining Power of Buyers
  4.5.3. Threat of New Entrants
  4.5.4. Threat of Substitutes
  4.5.5. Competitive Rivalry in the Industry
4.6. Life Cycle Analysis - Regional Snapshot
4.7. Market Attractiveness

5. DATA SCIENCE PLATFORM MARKET BY OFFERING

5.1. Solutions
5.2. Services

6. DATA SCIENCE PLATFORM MARKET BY DEPLOYMENT

6.1. Cloud
6.2. On-premise

7. DATA SCIENCE PLATFORM MARKET BY END-USER INDUSTRY

7.1. BFSI
7.2. Communication and Technology
7.3. Retail
7.4. Media and Entertainment
7.5. Manufacturing
7.6. Others

8. DATA SCIENCE PLATFORM MARKET BY GEOGRAPHY

8.1. North America
  8.1.1. United States
  8.1.2. Canada
  8.1.3. Mexico
8.2. South America
  8.2.1. Brazil
  8.2.2. Argentina
  8.2.3. Others
8.3. Europe
  8.3.1. United Kingdom
  8.3.2. Germany
  8.3.3. France
  8.3.4. Italy
  8.3.5. Others
8.4. Middle East and Africa
  8.4.1. Saudi Arabia
  8.4.2. Israel
  8.4.3. Others
8.5. Asia Pacific
  8.5.1. China
  8.5.2. Japan
  8.5.3. India
  8.5.4. South Korea
  8.5.5. Others

9. COMPETITIVE INTELLIGENCE

9.1. Competitive Benchmarking and Analysis
9.2. Recent Investments and Deals
9.3. Strategies of Key Players

10. COMPANY PROFILES

10.1. Microsoft
10.2. IBM
10.3. Google
10.4. Wolfram
10.5. Datarobot, Inc.
10.6. Cloudera, Inc.
10.7. RapidMiner, Inc.
10.8. Domino Data Lab, Inc.
10.9. Dataiku
10.10. Alteryx Inc.
LIST OF FIGURES
LIST OF TABLES