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.
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 END USER
Transportation and Logistics
Others (retail, education, government, energy, and utilities)
Rest of Europe
Rest of Asia-Pacific
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
22.214.171.124. Data Explosion
126.96.36.199. Realization of importance of data science platform by organizations
188.8.131.52. Increase in focus on Return on Investment (ROI)
184.108.40.206. Increase in data collection and analysis from mobile devices
220.127.116.11. Advancement of big data technologies
18.104.22.168. Growing concerns of data security and protection
22.214.171.124. Lack of skilled workforce
126.96.36.199. High initial investments
188.8.131.52. Adoption of cloud-based solutions and services
184.108.40.206. Target untapped and emerging markets
CHAPTER 4 DATA SCIENCE PLATFORM MARKET, BY TYPE
4.2.1. Key market trends
4.2.2. Key growth factors and opportunities
4.2.3. Market size and forecast
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
5.2. 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
5.3.1. 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
5.5.1. Key market trends
5.5.2. Key growth factors and opportunities
5.5.3. Market size and forecast
5.6.1. Key market trends
5.6.2. Key growth factors and opportunities
5.6.3. Market size and forecast
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
6.2. NORTH AMERICA
6.2.1. Key market trends
6.2.2. Key growth factors and opportunities
6.2.3. Market size and forecast
220.127.116.11.1. Market size and forecast
18.104.22.168.1. Market size and forecast
22.214.171.124.1. Market size and forecast
6.3.1. Key market trends
6.3.2. Key growth factors and opportunities
6.3.3. Market size and forecast
126.96.36.199.1. Market size and forecast
188.8.131.52.1. Market size and forecast
184.108.40.206.1. Market size and forecast
220.127.116.11.1. Market size and forecast
18.104.22.168. Rest of Europe
22.214.171.124.1. Market size and forecast
6.4.1. Key market trends
6.4.2. Key growth factors and opportunities
6.4.3. Market size and forecast
126.96.36.199.1. Market size and forecast
188.8.131.52.1. Market size and forecast
184.108.40.206.1. Market size and forecast
220.127.116.11.1. Market size and forecast
18.104.22.168. Rest of Asia-Pacific
22.214.171.124.1. Market size and forecast
6.5.1. Key market trends
6.5.2. Key growth factors and opportunities
6.5.3. Market size and forecast
126.96.36.199. Latin America
188.8.131.52.1. Market size and forecast
184.108.40.206. The Middle East
220.127.116.11.1. Market size and forecast
18.104.22.168.1. 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
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.
- Microsoft Corporation
- IBM Corporation
- SAS Institute, Inc.
- SAP SE
- RapidMiner, Inc.
- Dataiku SAS
- Alteryx, Inc
- Fair Issac Corporation (FICO)
- MathWorks, Inc
- Teradata, Inc.
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.