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. Research Beam Model: Research Beam Product ID: 1728365 5370 USD New
Global Data Science Platform Market By Type (Solutions, Services), End User (BFSI, Telecommunication, Transportation and Logistics, Healthcare, Manufacturing, Retail, Education, Government, Energy, and Utilities) - Opportunity and Forecast, 2017-2023

Toll Free : +1 (800)910-6452

 
 
PURCHASE OPTIONS
 

Global Data Science Platform Market By Type (Solutions, Services), End User (BFSI, Telecommunication, Transportation and Logistics, Healthcare, Manufacturing, Retail, Education, Government, Energy, and Utilities) - Opportunity and Forecast, 2017-2023

 
  • Category : ICT & Media
  • Published On : July  2017
  • Pages : 186
 
 

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

KEY MARKET PLAYERS PROFILED IN THE REPORT

  • Microsoft Corporation
  • IBM Corporation
  • SAS Institute, Inc.
  • SAP SE
  • RapidMiner, Inc.
  • Dataiku SAS
  • Alteryx, Inc
  • Fair Issac Corporation (FICO)
  • MathWorks, Inc
  • Teradata, Inc.

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

LIST OF TABLES

TABLE 1. GLOBAL DATA SCIENCE PLATFORM MARKET, BY TYPE, 2016-2023 ($MILLION)
TABLE 2. DATA SCIENCE PLATFORM MARKET FOR SOLUTIONS SEGMENT, BY REGION, 2016-2023 ($MILLION)
TABLE 3. DATA SCIENCE PLATFORM MARKET FOR SERVICES SEGMENT, BY REGION, 2016-2023 ($MILLION)
TABLE 4. GLOBAL DATA SCIENCE PLATFORM MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 5. DATA SCIENCE PLATFORM MARKET FOR BFSI, BY REGION, 2016-2023 ($MILLION)
TABLE 6. DATA SCIENCE PLATFORM MARKET FOR TELECOMMUNICATION, BY REGION, 2016-2023 ($MILLION)
TABLE 7. DATA SCIENCE PLATFORM MARKET FOR TRANSPORTATION AND LOGISTICS SECTOR, BY REGION, 2016-2023 ($MILLION)
TABLE 8. DATA SCIENCE PLATFORM MARKET FOR HEALTHCARE SEGMENT, BY REGION, 2016-2023 ($MILLION)
TABLE 9. DATA SCIENCE PLATFORM MARKET FOR MANUFACTURING SEGMENT, BY REGION, 2016-2023 ($MILLION)
TABLE 10. DATA SCIENCE PLATFORM MARKET FOR OTHERS SEGMENT, BY REGION, 2016-2023 ($MILLION)
TABLE 11. DATA SCIENCE PLATFORM MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 12. NORTH AMERICA DATA SCIENCE PLATFROM MARKET, BY TYPE, 2016-2023 ($MILLION)
TABLE 13. NORTH AMERICA DATA SCIENCE PLATFROM MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 14. NORTH AMERICA DATA SCIENCE PLATFROM MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 15. EUROPE DATA SCIENCE PLATFROM MARKET, BY TYPE, 2016-2023 ($MILLION)
TABLE 16. EUROPE DATA SCIENCE PLATFROM MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 17. EUROPE DATA SCIENCE PLATFROM MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 18. ASIA PACIFIC DATA SCIENCE PLATFROM MARKET, BY TYPE, 2017-2023 ($MILLION)
TABLE 19. ASIA PACIFIC DATA SCIENCE PLATFROM MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 20. ASIA-PACIFIC DATA SCIENCE PLATFROM MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 21. LAMEA DATA SCIENCE PLATFROM MARKET, BY TYPE, 2016-2023 ($MILLION)
TABLE 22. LAMEA DATA SCIENCE PLATFROM MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 23. LAMEA DATA SCIENCE PLATFORM MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 24. MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 25. MICROSOFT CORPORATION: OPERATING BUSINESS SEGMENTS
TABLE 26. MICROSOFT: PRODUCT PORTFOLIO
TABLE 27. SAS INSTITUTE INC: COMPANY SNAPSHOT
TABLE 28. SAS: PRODUCT PORTFOLIO
TABLE 29. FICO: COMPANY SNAPSHOT
TABLE 30. FICO: OPERATING SEGMENTS
TABLE 31. FICO: PRODUCT PORTFOLIO
TABLE 32. IBM: COMPANY SNAPSHOT
TABLE 33. IBM: OPERATING SEGMENTS
TABLE 34. SAP: COMPANY SNAPSHOT
TABLE 35. SAP: OPERATING SEGMENTS
TABLE 36. TERADATA: COMPANY SNAPSHOT
TABLE 37. TERADATA: OPERATING SEGMENTS
TABLE 38. IBM: PRODUCT PORTFOLIO
TABLE 39. ALTREYX: COMPANY SNAPSHOT
TABLE 40. ORACLE: PRODUCT PORTFOLIO
TABLE 41. DATAIKU: COMPANY SNAPSHOT
TABLE 42. RAPIDMINER: COMPANY SNAPSHOT
TABLE 43. RAPIDMINER: PRODUCT PORTFOLIO
TABLE 44. MATHWORKS: COMPANY SNAPSHOT
TABLE 45. MATHWORKS: PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 1. GLOBAL DATA SCIENCE PLATFORM MARKET SEGMENTATION
FIGURE 2. GLOBAL DATA SCIENCE PLATFORM MARKET OVERVIEW, 2017 & 2023
FIGURE 3. DATA SCIENCE PLATFORM MARKET, BY REGION, 2017 & 2023
FIGURE 4. TOP IMPACTING FACTORS
FIGURE 5. KEY INVESTMENT POCKETS
FIGURE 6. TOP WINNING STRATEGIES
FIGURE 7. GLOBAL DATA SCIENCE PLATFORM MARKET, BY TYPE
FIGURE 8. GLOBAL DATA SCIENCE PLATFORM MARKET, BY SOLUTIONS, 2016-2023 ($MILLION)
FIGURE 9. GLOBAL DATA SCIENCE PLATFORM MARKET, BY SERVICES, 2016-2023 ($MILLION)
FIGURE 10. GLOBAL DATA SCIENCE PLATFORM MARKET, BY END USER
FIGURE 11. GLOBAL DATA SCIENCE PLATFORM MARKET, BY BFSI, 2016-2023 ($MILLION)
FIGURE 12. GLOBAL DATA SCIENCE PLATFORM MARKET, BY TELECOMMUNICATION, 2016-2023 ($MILLION)
FIGURE 13. GLOBAL DATA SCIENCE PLATFORM MARKET, BY TRANSPORTATION AND LOGISTICS, 2016-2023 ($MILLION)
FIGURE 14. GLOBAL DATA SCIENCE PLATFORM MARKET, BY HEALTHCARE, 2016-2023 ($MILLION)
FIGURE 15. GLOBAL DATA SCIENCE PLATFORM MARKET, BY MANUFACTURING, 2016-2023 ($MILLION)
FIGURE 16. GLOBAL DATA SCIENCE PLATFORM MARKET, BY OTHERS, 2016-2023 ($MILLION)
FIGURE 17. DATA SCIENCE PLATFORM MARKET, BY REGION, 2017(%)
FIGURE 18. NORTH AMERICA DATA SCIENCE PLATFROM MARKET
FIGURE 19. U.S. DATA SCIENCE PLATFROM MARKET, 2016-2023 ($MILLION)
FIGURE 20. CANADA DATA SCIENCE PLATFROM MARKET, 2016-2023 ($MILLION)
FIGURE 21. MEXICO DATA SCIENCE PLATFROM MARKET, 2016-2023 ($MILLION)
FIGURE 22. EUROPE DATA SCIENCE PLATFROM MARKET
FIGURE 23. UK DATA SCIENCE PLATFROM MARKET, 2016-2023 ($MILLION)
FIGURE 24. GERMANY DATA SCIENCE PLATFROM MARKET, 2016-2023 ($MILLION)
FIGURE 25. FRANCE DATA SCIENCE PLATFROM MARKET, 2016-2023 ($MILLION)
FIGURE 26. RUSSIA DATA SCIENCE PLATFROM MARKET, 2016-2023 ($MILLION)
FIGURE 27. REST OF EUROPE DATA SCIENCE PLATFROM MARKET, 2016-2023 ($MILLION)
FIGURE 28. ASIA-PACIFIC DATA SCIENCE PLATFORM MARKET
FIGURE 29. CHINA DATA SCIENCE PLATFROM MARKET, 2016-2023 ($MILLION)
FIGURE 30. JAPAN DATA SCIENCE PLATFORM MARKET, 2016-2023 ($MILLION)
FIGURE 31. INDIA DATA SCIENCE PLATFORM MARKET, 2016-2023 ($MILLION)
FIGURE 32. AUSTRALIA DATA SCIENCE PLATFORM MARKET, 2016-2023 ($MILLION)
FIGURE 33. REST OF ASIA-PACIFIC DATA SCIENCE PLATFORM MARKET, 2017-2023 ($MILLION)
FIGURE 34. LAMEA DATA SCIENCE PLATFORM MARKET
FIGURE 35. LATIN AMERICA DATA SCIENCE PLATFORM MARKET, 2016-2023 ($MILLION)
FIGURE 36. MIDDLE EAST DATA SCIENCE PLATFORM MARKET, 2016-2023 ($MILLION)
FIGURE 37. AFRICA DATA SCIENCE PLATFORM MARKET, 2016-2023 ($MILLION)
FIGURE 38. MICROSOFT CORPORATION: REVENUE, 2014-2016 ($MILLION)
FIGURE 39. MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 40. MICROSOFT CORPORATION: STRATEGY SHARE, 2014-2016 (%)
FIGURE 41. SAS: REVENUE, 2013-2015 ($MILLION)
FIGURE 42. SAS: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 43. SAS: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 44. SAS INSTITUTE INC.: STRATEGY SHARE, 2015-2017 (%)
FIGURE 45. FICO: NET SALES, 2014-2016 ($MILLION)
FIGURE 46. FICO: REVENUE BY PRODUCT, 2016 (%)
FIGURE 47. FICO: STRATEGY SHARE, 2015-2017 (%)
FIGURE 48. IBM: REVENUE, 2014-2016 ($MILLION)
FIGURE 49. IBM: REVENUE SHARE BY SEGMENT, 2015 (%)
FIGURE 50. IBM: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 51. IBM: STRATEGY SHARE, 2015-2017 (%)
FIGURE 52. SAP: REVENUE, 2014-2016 ($MILLION)
FIGURE 53. SAP: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 54. SAP: REVENUE SHARE BY INDUSTRY, 2015 (%)
FIGURE 55. SAP: REVENUE SHARE BY REGION, 2015 (%)
FIGURE 56. SAP: STRATEGY SHARE, 2015-2017 (%)
FIGURE 57. TERADATA: REVENUE, 2015-2016 ($MILLION)
FIGURE 58. TERADATA: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 59. TERADATA: REVENUE SHARE BY REGION, 2016 (%)
FIGURE 60. TERADATA: STRATEGY SHARE, 2015-2017 (%)
FIGURE 61. ALTREYX: REVENUE, 2014-2016 ($MILLION)
FIGURE 62. ALTREYX: REVENUE BY GEOGRAPHY 2016(%)
FIGURE 63. ALTREYX: STRATEGY SHARE, 2015-2017 (%)
FIGURE 64. DATAIKU: STRATEGY SHARE, 2015-2017 (%)
FIGURE 65. RAPIDMINER: STRATEGY SHARE, 2015-2017 (%)
FIGURE 66. MATHWORKS: STRATEGY SHARE, 2015-2017 (%)