Global Data Science Platform Market By Type - Opportunity and Forecast, 2017-2023 - Product Image

Global Data Science Platform Market By Type - Opportunity and Forecast, 2017-2023

  • ID: 4368952
  • Report
  • Region: Global
  • 186 pages
  • Allied Analytics LLP
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FEATURED COMPANIES

  • Alteryx, Inc
  • Dataiku SAS
  • IBM Corporation
  • MathWorks, Inc
  • Microsoft Corporation
  • RapidMiner, Inc.
  • MORE
Data science platform is a framework that governs the lifecycle of any data science project, which employs techniques and theories drawn from various fields such as mathematics, statistics, information science, etc. It contains all the tools required to execute a lifecycle that spans different phases such as data ideation, model development, and model deployment. It helps data scientists enhance their analysis by helping them track, share, reproduce, run, and deploy analytical models faster.

The advancement of big data technology and a realization of the importance of collecting and using data for decision making are anticipated to drive the data science platform market growth during the forecast period. However, high investment costs, data privacy & security, and reliability issues observed by the employees are projected to hamper the data science platform market growth.

The data science platform market is segmented on the basis of type, end user, and region. Based on type, it is categorized into solutions and services. Based on end users, the market is classified into banking and financial services, insurance (BFSI); telecommunication; healthcare; transportation & logistics; manufacturing, and others (retail, education, government, energy, & utilities). The data science platform market is analyzed based on four regions-North America, Europe, Asia-Pacific, and LAMEA.

The data science platform industry comprises solutions and service providers such as Microsoft Corporation, IBM Corporation, SAS Institute, Inc., SAP SE, RapidMiner, Inc., Dataiku SAS, Alteryx, Inc, Fair Issac Corporation, MathWorks, Inc, and Teradata, Inc.

KEY BENEFITS

This study provides an in-depth analysis of the global data science platform market, along with the current and future trends to elucidate the imminent investment pockets.
Information regarding key drivers, restraints, and opportunities, along with their impact analysis on the data science platform market size has been provided.
Porter’s five forces analysis illustrates the potency of buyers and suppliers that operate in the industry.
The quantitative analysis of the global data science market from 2017 to 2023 has been provided to determine the market potential.

KEY MARKET SEGMENTS

The data science platform market is segmented based on type, end user, and geography.

BY TYPE

Solutions
Services

BY END USER

BFSI
Telecommunication
Transportation and Logistics
Healthcare
Manufacturing
Others (retail, education, government, energy, and utilities)

BY REGION

North America
U.S.
Canada
Mexico
Europe
UK
Germany
France
Russia
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
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Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Alteryx, Inc
  • Dataiku SAS
  • IBM Corporation
  • MathWorks, Inc
  • Microsoft Corporation
  • RapidMiner, Inc.
  • MORE
CHAPTER 1 INTRODUCTION

1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS
1.3. KEY MARKET SEGMENTS
1.4. RESEARCH METHODOLOGY

1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models

CHAPTER 2 EXECUTIVE SUMMARY

2.1. CXO PERSPECTIVE

CHAPTER 3 MARKET OVERVIEW

3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS

3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.2.3. Top winning strategies

3.3. PORTERS FIVE FORCES ANALYSIS

3.3.1. Moderate bargaining power of suppliers
3.3.2. High threat of new entrants
3.3.3. Low threat of substitutes
3.3.4. High competitive rivalry
3.3.5. Moderate bargaining power among buyers

3.4. PLAYER POSITIONING
3.5. MARKET DYNAMICS

3.5.1. Drivers

3.5.1.1. Data Explosion
3.5.1.2. Realization of importance of data science platform by organizations
3.5.1.3. Increase in focus on Return on Investment (ROI)
3.5.1.4. Increase in data collection and analysis from mobile devices
3.5.1.5. Advancement of big data technologies

3.5.2. Restraints

3.5.2.1. Growing concerns of data security and protection
3.5.2.2. Lack of skilled workforce
3.5.2.3. High initial investments

3.5.3. Opportunities

3.5.3.1. Adoption of cloud-based solutions and services
3.5.3.2. Target untapped and emerging markets

CHAPTER 4 DATA SCIENCE PLATFORM MARKET, BY TYPE

4.1. OVERVIEW
4.2. SOLUTION

4.2.1. Key market trends
4.2.2. Key growth factors and opportunities
4.2.3. Market size and forecast

4.3. SERVICES

4.3.1. Key market trends
4.3.2. Key growth factors and opportunities
4.3.3. Market size and forecast

CHAPTER 5 DATA SCIENCE PLATFORM MARKET, BY END USER

5.1. OVERVIEW
5.2. BANKING, FINANCIAL SERVICES AND INSURANCE

5.2.1. Key market trends
5.2.2. Key growth factors and opportunities
5.2.3. Market size and forecast

5.3. TELECOMMUNICATION

5.3.1. Key market trends
5.3.2. Key growth factors and opportunities
5.3.3. Market size and forecast

5.4. TRANSPORTATION AND LOGISTICS

5.4.1. Key market trends
5.4.2. Key growth factors and opportunities
5.4.3. Market size and forecast

5.5. HEALTHCARE

5.5.1. Key market trends
5.5.2. Key growth factors and opportunities
5.5.3. Market size and forecast

5.6. MANUFACTURING

5.6.1. Key market trends
5.6.2. Key growth factors and opportunities
5.6.3. Market size and forecast

5.7. OTHERS

5.7.1. Key market trends
5.7.2. Key growth factors and opportunities
5.7.3. Market size and forecast

CHAPTER 6 DATA SCIENCE PLATFORM MARKET, BY REGION

6.1. OVERVIEW
6.2. NORTH AMERICA

6.2.1. Key market trends
6.2.2. Key growth factors and opportunities
6.2.3. Market size and forecast

6.2.3.1. U.S.

6.2.3.1.1. Market size and forecast

6.2.3.2. Canada

6.2.3.2.1. Market size and forecast

6.2.3.3. Mexico

6.2.3.3.1. Market size and forecast

6.3. EUROPE

6.3.1. Key market trends
6.3.2. Key growth factors and opportunities
6.3.3. Market size and forecast

6.3.3.1. UK

6.3.3.1.1. Market size and forecast

6.3.3.2. Germany

6.3.3.2.1. Market size and forecast

6.3.3.3. France

6.3.3.3.1. Market size and forecast

6.3.3.4. Russia

6.3.3.4.1. Market size and forecast

6.3.3.5. Rest of Europe

6.3.3.5.1. Market size and forecast

6.4. ASIA-PACIFIC

6.4.1. Key market trends
6.4.2. Key growth factors and opportunities
6.4.3. Market size and forecast

6.4.3.1. China

6.4.3.1.1. Market size and forecast

6.4.3.2. Japan

6.4.3.2.1. Market size and forecast

6.4.3.3. India

6.4.3.3.1. Market size and forecast

6.4.3.4. Australia

6.4.3.4.1. Market size and forecast

6.4.3.5. Rest of Asia-Pacific

6.4.3.5.1. Market size and forecast

6.5. LAMEA

6.5.1. Key market trends
6.5.2. Key growth factors and opportunities
6.5.3. Market size and forecast

6.5.3.1. Latin America

6.5.3.1.1. Market size and forecast

6.5.3.2. The Middle East

6.5.3.2.1. Market size and forecast

6.5.3.3. Africa

6.5.3.3.1. Market size and forecast

CHAPTER 7 COMPANY PROFILES

7.1. MICROSOFT CORPORATION

7.1.1. Company overview
7.1.2. Company snapshot
7.1.3. Operating business segment
7.1.4. Product portfolio
7.1.5. Business performance
7.1.6. Key strategic moves and developments

7.2. SAS INSTITUTE INC.

7.2.1. Company overview
7.2.2. Company snapshot
7.2.3. Product portfolio
7.2.4. Business performance
7.2.5. Key strategic moves and developments

7.3. FAIR ISSAC CORPORATION (FICO)

7.3.1. Company overview
7.3.2. Company snapshot
7.3.3. Operating business segments
7.3.4. Product portfolio
7.3.5. Business performance
7.3.6. Key strategic moves and developments

7.4. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM CORPORATION)

7.4.1. Company overview
7.4.2. Company snapshot
7.4.3. Operating business segments
7.4.4. Business performance
7.4.5. Key strategic moves and developments

7.5. SAP SE

7.5.1. Company overview
7.5.2. Company snapshot
7.5.3. Operating business segments
7.5.4. Business performance
7.5.5. Key strategic moves and developments

7.6. TERADATA CORPORATION

7.6.1. Company overview
7.6.2. Company snapshot
7.6.3. Operating business segments
7.6.4. Product portfolio
7.6.5. Business performance
7.6.6. Key strategic moves and developments

7.7. ALTREYX, INC.

7.7.1. Company overview
7.7.2. Company snapshot
7.7.3. Product portfolio
7.7.4. Business performance
7.7.5. Key strategic moves and developments

7.8. DATAIKU SAS

7.8.1. Company overview
7.8.2. Company snapshot
7.8.3. Key strategic moves and developments

7.9. RAPIDMINER INC

7.9.1. Company overview
7.9.2. Company snapshot
7.9.3. Product portfolio
7.9.4. Key strategic moves and developments

7.10. THE MATHWORKS INC

7.10.1. Company overview
7.10.2. Company snapshot
7.10.3. Product portfolio
7.10.4. Key strategic moves and developments
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FEATURED COMPANIES

  • Alteryx, Inc
  • Dataiku SAS
  • IBM Corporation
  • MathWorks, Inc
  • Microsoft Corporation
  • RapidMiner, Inc.
  • MORE
According to a new report titled, Data Science Platform Market by Type and End User: Global Opportunity and Forecast, 2017-2023, the data science platform market was valued at $19,621 million in 2016, and is projected to reach at $183,688 million by 2023, growing at a CAGR of 39.6% from 2017 to 2023.

Data science platform solutions include analytics and performance management, business intelligence and analytics tools, analytic data management and integration platform, and advanced & predictive analytics software solutions. Moreover, the service segment includes consulting, designing & integration, risk assessment, and training.

Rise in data collection; realization of the importance of data science platform by the organizations; and the advancement of different technologies, such as big data analytics, Internet of Things, and artificial intelligence, drive the market growth. However, lack of skilled workforce and growth in concern of data security and protection are anticipated to hamper the market growth during the forecast period.

The service segment is projected to grow at a CAGR of around 47% during the forecast period. Increase in competition and rise in the need of consultancy and outsourcing services are anticipated to boost this segment growth during the forecast period.

The others segment dominated the market in 2016, followed by Banking, Financial Services and Insurance (BFSI) segment. Furthermore, these segments collectively accounted for around 54% share of the overall market revenue in 2016. The manufacturing sector is expected to register highest CAGR of around 43%, owing to the implementation of new technology, such as intelligent robots, 3D printing, drones, and artificial intelligence.

The global data science platform market is characterized by the presence of international market players. These companies tend to expand their market presence by adopting strategies, such as strategic collaborations and acquisitions. Some of the key vendors in the data science platform include Microsoft Corporation, IBM Corporation, SAS Institute, Inc., SAP SE, RapidMiner, Inc., Dataiku SAS, Alteryx, Inc., Fair Issac Corporation, MathWorks, Inc., and Teradata, Inc.

Key Findings of the Data Science Platform Market:

The solutions segment dominated the market in 2016.
The manufacturing segment is expected to register the highest CAGR during the forecast period.
North America was the highest contributor in the overall data science platform market size in 2016; however, in terms of growth, Asia-Pacific is estimated to show highest growth rate.
U.S. led in terms of expenditure, on data science platform solutions and services, in 2016.
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  • Microsoft Corporation
  • IBM Corporation
  • SAS Institute, Inc.
  • SAP SE
  • RapidMiner, Inc.
  • Dataiku SAS
  • Alteryx, Inc
  • Fair Issac Corporation (FICO)
  • MathWorks, Inc
  • Teradata, Inc.
Note: Product cover images may vary from those shown
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Note: Product cover images may vary from those shown
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