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市場調查報告書

全球資料科學平台市場:機會及預測

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

出版商 Allied Market Research 商品編碼 539643
出版日期 內容資訊 英文 186 Pages
商品交期: 最快1-2個工作天內
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全球資料科學平台市場:機會及預測 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
出版日期: 2017年07月01日 內容資訊: 英文 186 Pages
簡介

本報告提供全球資料科學平台市場相關調查分析,市場概要,各市場區隔的市場分析,各地區分析,企業簡介等系統性資訊。

第1章 簡介

第2章 摘要整理

第3章 市場概要

  • 市場定義、範圍
  • 主要調查結果
  • 波特的五力分析
  • 企業定位
  • 市場動態

第4章 資料科學平台市場:各類型

  • 概要
  • 解決方案
  • 服務

第5章 資料科學平台市場:各終端用戶

  • 概要
  • BFSI
  • 通訊
  • 運輸、物流
  • 醫療
  • 製造
  • 其他

第6章 資料科學平台市場:各地區

  • 概要
  • 北美
  • 歐洲
  • 亞太地區
  • 南美、中東、非洲

第7章 企業簡介

  • MICROSOFT CORPORATION
  • SAS INSTITUTE INC.
  • FAIR ISSAC CORPORATION (FICO)
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM CORPORATION)
  • SAP SE
  • TERADATA CORPORATION
  • ALTREYX, INC.
  • DATAIKU SAS
  • RAPIDMINER INC
  • THE MATHWORKS INC
目錄
Product Code: IC 172307

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

Table of Contents

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 (%)
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