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Data Science Platform Market to Witness Astonishing growth by 2026 | Microsoft Corporation, IBM Corporation , SAS Institute, Inc.

09-28-2020 01:02 PM CET | IT, New Media & Software

Press release from: Report Ocean

Data Science Platform Market

Data Science Platform Market

Global Data Science Platform Market Size study with COVID-19 impact, by Type (Solution and services), by Application (BFSI, Telecommunication, Transportation and Logistics, Healthcare, Manufacturing and Others) and Regional Forecasts 2020-2026 Covid 19 Outbreak Impact research report added by Report Ocean, is an in-depth analysis of market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography. It places the market within the context of the wider Data Science Platform market, and compares it with other markets., market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, Data Science Platform market size forecast, market data & Graphs and Statistics, Tables, Bar &Pie Charts, and many more for business intelligence. Get report to understand the structure of the complete Report (Including Full TOC, List of Tables & Figures, Chart). - In-depth Analysis Pre & Post COVID-19 Market Estimates

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Global Data Science Platform Market is valued approximately USD 237.82 Billion in 2019 and is anticipated to grow with a healthy growth rate of more than 30% over the forecast period 2019-2026.
Data science is a start to consolidate insights, information search, and their related procedures to comprehend and assess genuine information from the raw data. It gives techniques and methods drawn from numerous zones inside the wide sections of arithmetic, databases, data science, measurements and software engineering particularly from the subdomains of machine learning, bunch examination, information mining, and representation. The global impact of COVID-19 results in slow down of numerous economies and business across the world which may hinder the growth of data science platform market. The data science tools are largely accepted and demanded across the globe in various end-use industries due to the global rise in adoption of advanced technologies such as the internet of things (IoT), machine learning (ML), and AI. Such advanced technologies derives a lot of data from multiple devices such as cameras, smartphones, and routers, among others, which can be utilized to enhance business operations therefore big data analytics are used within an organization to increasingly focusing on optimizing structured and unstructured data to produce meaningful insights. Therefore, rapid growth in big data analytics across the globe in business operations is expected to propel the growth of market over the forecast years. For instance: As per the study by Wikibon, the worldwide big data market revenue for software and service is projected to grow from USD 42 billion in 2018 to USD 103 billion till 2027. In addition, growing demand for public cloud and adoption of artificial intelligence in developing economies is expected to propel the growth of market over the upcoming period. For instance: According to the study by International Financial Corporation: China GDP is expected to grow with USD 38 trillion by 2030, with the USD 7 trillion of that coming from AI through new business creation and upgradation of existing business in terms of improved efficiency and cost reduction. Also, according to the study by Accenture, AI has potential to add USD 957 billion of about 15% growth in India’s current gross value till 2035. However, Stringent government rules and regulations associated with Data science platform is hampering the growth of market over the forthcoming period.

The regional analysis of global Data Science Platform market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to the rising demand for big data analytics across the region. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2020-2026. Factors such adoption of advanced technologies such as machine learning and artificial intelligence along with need for ease of use technological methods to drive business effectiveness would create lucrative growth prospects for the Data Science Platform market across Asia-Pacific region.

Major market player included in this report are:
Microsoft Corporation
IBM Corporation
SAS Institute, Inc.
SAP SE
RapidMiner, Inc.
Dataiku SAS
Alteryx, Inc
Fair Issac Corporation (FICO)
MathWorks, Inc
Teradata, Corporation

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Technology offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:
20ML

By Application:
Medical
Food
Industrial
Other

Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan
Countries: Argentina; Australia; Austria; Belgium; Brazil; Canada; Chile; China; Colombia; Czech Republic; Denmark; Egypt; Finland; France; Germany; Hong Kong; India; Indonesia; Ireland; Israel; Italy; Japan; Malaysia; Mexico; Netherlands; New Zealand; Nigeria; Norway; Peru; Philippines; Poland; Portugal; Romania; Russia; Saudi Arabia; Singapore; South Africa; South Korea; Spain; Sweden; Switzerland; Thailand; Turkey; UAE; UK; USA; Venezuela; Vietnam

In-Depth Qualitative COVID 19 Outbreak Impact Analysis Include Identification And Investigation Of The Following Aspects: Market Structure, Growth Drivers, Restraints and Challenges, Emerging Product Trends & Market Opportunities, Porter’s Fiver Forces. The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios. The report basically gives information about the Market trends, growth factors, limitations, opportunities, challenges, future forecasts, and details about all the key market players.

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Changing Forecasts in a Time of Crisis: explores key issues, including:
• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size covering both the historic growth of the market, the impact of the Covid 19 virus and forecasting its recovery.
• Market segmentations break down market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the impact and recovery path of Covid 19 for all regions, key developed countries and major emerging markets.
• Competitive landscape gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Key questions answered: The Study Explore COVID 19 Outbreak Impact Analysis

• What should be entry strategies, countermeasures to economic impact, and marketing channels?
• What are market dynamics?
• What are challenges and opportunities?
• What is economic impact on market?
• What is current market status? What’s market competition in this industry, both company, and country wise? What’s market analysis by taking applications and types in consideration?
• Who are the global key players in this industry? What are their company profile, their product information, and contact information?
• Which manufacturing technology is used, what are their company profile, their product information, and contact information?

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Key Points Covered in Data Science Platform Market Report:

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2018-2026 (USD Billion)
1.2.1. Data Science Platform Market, by Region, 2018-2026 (USD Billion)
1.2.2. Data Science Platform Market, by Type, 2018-2026 (USD Billion)
1.2.3. Data Science Platform Market, by Application, 2018-2026 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Data Science Platform Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Data Science Platform Market Dynamics
3.1. Data Science Platform Market Impact Analysis (2018-2026)
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Global Data Science Platform Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2016-2026)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Data Science Platform Market, by Type
5.1. Market Snapshot
5.2. Global Data Science Platform Market by Type, Performance - Potential Analysis
5.3. Global Data Science Platform Market Estimates & Forecasts by Type 2016-2026 (USD Billion)
5.4. Data Science Platform Market, Sub Segment Analysis
5.4.1. Solutions
5.4.2. Services
Chapter 6. Global Data Science Platform Market, by Application
6.1. Market Snapshot
6.2. Global Data Science Platform Market by Application, Performance - Potential Analysis
6.3. Global Data Science Platform Market Estimates & Forecasts by Application 2016-2026 (USD Billion)
6.4. Data Science Platform Market, Sub Segment Analysis
6.4.1. BFSI
6.4.2. Telecommunication
6.4.3. Transportation and Logistics
6.4.4. Healthcare
6.4.5. Manufacturing
6.4.6. Others
Chapter 7. Global Data Science Platform Market, Regional Analysis
7.1. Data Science Platform Market, Regional Market Snapshot
7.2. North America Data Science Platform Market
7.2.1. U.S. Data Science Platform Market
7.2.1.1. Type breakdown estimates & forecasts, 2016-2026
7.2.1.2. Application breakdown estimates & forecasts, 2016-2026
7.2.2. Canada Data Science Platform Market
7.3. Europe Data Science Platform Market Snapshot
7.3.1. U.K. Data Science Platform Market
7.3.2. Germany Data Science Platform Market
7.3.3. Rest of Europe Data Science Platform Market
7.4. Asia-Pacific Data Science Platform Market Snapshot
7.4.1. China Data Science Platform Market
7.4.2. India Data Science Platform Market
7.4.3. Japan Data Science Platform Market
7.4.4. Rest of Asia Pacific Data Science Platform Market
7.5. Latin America Data Science Platform Market Snapshot
7.5.1. Brazil Data Science Platform Market
7.5.2. Mexico Data Science Platform Market
7.6. Rest of The World Data Science Platform Market

Chapter 8. Competitive Intelligence
8.1. Top Market Strategies
8.2. Company Profiles
8.2.1. Microsoft Corporation
8.2.1.1. Key Information
8.2.1.2. Overview
8.2.1.3. Financial (Subject to Data Availability)
8.2.1.4. Technology Summary
8.2.1.5. Recent Developments
8.2.2. IBM Corporation
8.2.3. SAS Institute, Inc.
8.2.4. SAP SE
8.2.5. RapidMiner, Inc.
8.2.6. Dataiku SAS
8.2.7. Alteryx, Inc
8.2.8. Fair Issac Corporation (FICO)
8.2.9. MathWorks, Inc
8.2.10. Teradata, Corporation
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption
Continued….
……..and view more in complete table of Contents

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