Data Science Platform Market Size, Share and Forecast 2031 | Global Industry Growth, Demands, Business Challenges, Opportunities, Market Drivers, Key Players, Expansion Plans, Revenue and Gross Margin Research

Kenneth Research, in its repository of market research reports, have recently added a report on Data Science Platform Market which emphasizes on the latest trends, key opportunities, drivers, and the challenges associated with the growth of the market during the forecast period, i.e., 2022-2031. The Data Science Platform Market is anticipated to grow primarily on account of the growing trade of ICT goods and services worldwide. According to the statistics by the World Bank, the exports of ICT goods globally increased from 11.164% of total goods exports in 2017 to 11.53% of total goods exports in 2019.

U S Market recovers fast; In a release on May 4th 2021, the U.S. Bureau and Economic Analysis and U.S. Census Bureau mention the recovery in the U.S. International trade in March 2021. Exports in the country reached $200 billion, up by $12.4 billion in Feb 2021. Following the continuous incremental trend, imports tallied at $274.5 billion, picked up by $16.4 billion in Feb 2021. However, as COVID19 still haunts the economies across the globe, year-over-year (y-o-y) average exports in the U.S. declined by $7.0 billion from March 2020 till March 2021 whilst imports increased by $20.7 billion during the same time. This definitely shows how the market is trying to recover back and this will have a direct impact on the Healthcare/ICT/Chemical industries, creating a huge demand for Data Science Platform Market products.

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Moreover, increase in ICT spending around the globe for hardware, software, services, new technologies and telecom among others is also anticipated to contribute to the growth of the market in the coming years. The spending on new technologies recorded around USD 0.6 million in 2018 and is further estimated to reach close to USD 1.3 million by 2023. The total ICT spending around the globe further recorded close to USD 5 million in 2019 and is further.

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:
<10ML
10ML-20ML
>20ML

By Application:
Medical
Food
Industrial
Other

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By Region:
North America
U.S.
Canada
Europe
UK
Germany
Asia Pacific
China
India
Japan
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2016, 2017, 2018
Base year – 2019
Forecast period – 2020 to 2026

Target Audience of the Global Data Science Platform Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

TABLE OF CONTENTS

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

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