The Data Science Platform Market size was valued at USD 7.97 Bn in 2022 and is expected to reach USD 46.56 Bn by 2030, and grow at a CAGR of 24.67% over the forecast period 2023-2030.
All data science and data analysis work are done on the data science platform, which is a software hub. The data science platform includes all of the tools needed for the data science project's entire life cycle, including ideation, installation, discovery, model building, and software implementation. To be more specific, data science is a mix of data collection, analysis, and interpretation methods. The data science platform enables data scientists to improve their job by allowing them to run, track, repeat, analyze, and communicate their findings more quickly.
Get more information on Data Science Platform Market - Request Sample Report
One such software tool that is frequently employed by enterprises is the data science platform. This program combines a number of technologies to provide sophisticated analytics and machine learning capabilities. It enables data scientists to create procedures, extract insights from data, and share those findings throughout a project in a single situation. Data science projects use a variety of tools that are built for each phase of the data modeling process.
Prakshep, an agro data science startup, was acquired by Arya.ag in June 2022. Arya strengthens its position as India's biggest comprehensive grain commerce platform and expands its tech capabilities to deliver end-to-end solutions to its users with this purchase. Arya's ambition of providing cutting-edge AI/ML capabilities to digital farming, crop monitoring, quality assaying, and surveillance is strengthened by this purchase. This purchase will allow Arya to strengthen its ties with additional chain players such as FPOs, processors, and corporations, as well as banks and insurance firms.
KEY DRIVERS:
Demand for analytical tools is on the rise.
It assists users in shaping, controlling, and measuring data as well as developing organizational strategies.
RESTRAINTS:
For the data science platform industry, there is a scarcity of professionals with the necessary expertise.
Data analysis is less successful if it is done before a clear image of the business problem needs to be solved.
OPPORTUNITY:
The data-intensive strategy is increasingly being adopted by businesses.
the emergence of modern technologies such as big data, machine learning, the Internet of Things, and the cloud.
CHALLENGES:
complicated in nature and necessitate in-depth analytic skills
COVID-19 has had a favorable influence on market growth and will present several prospects for market expansion over the projection period. These prospects include growth in business demand for data science platforms as a result of remote work efforts, an increase in data applications, and the launch of novel data science platform solutions. The COVID-19 outbreak disrupted all businesses throughout the world. During the COVID-19 pandemic, data science platforms were critical to data management and the seamless operation of various industries, including BFSI, healthcare, and manufacturing.
During the COVID-19 pandemic, the benefits of a data science platform became increasingly apparent. Because of the general lockdown, businesses have been forced to go toward digitization for work schedules from home officers to employees. As major technology businesses integrate automation and intelligence into their operations, the impact of the COVID-19 pandemic is boosting interest in data science platforms.
In 2021, the marketing and sales category had the highest revenue share. The market is divided into marketing and sales, logistics, finance and accounting, customer support, and others, depending on the application. The marketing and sales category has the highest revenue share owing to the multiple benefits provided, such as employing data science to get deeper insights into the buyer's profile and spend the marketing budget accordingly, resulting in a higher Return on Investment (ROI). The platform is being used by the logistics industry to improve supply chain efficiency. It aids in the generation of insights from data collected from transportation, inventory, and everything in between, as well as the identification of patterns that will have an influence on the whole supply chain.
In 2021, the platforms category had the highest revenue share. This is due to the increasing use of data technology by big and medium-sized businesses. The market is divided into platforms and services based on its components. Companies are concentrating their efforts on implementing products that provide uniformity and repeatability. This may be accomplished through the use of data science platforms. In the near future, the services category is expected to grow. Training, consultation, deployment, integration, maintenance, support, and other services are supplied by leading organizations in the industry. More firms are seeking methods to incorporate data science platforms into their working environment to obtain productivity and efficiency gains since data science platforms provide significant growth prospects.
In 2021, the BFSI segment accounted for the most revenue. IT and telecommunications, healthcare, BFSI, manufacturing, retail and e-commerce, energy and utilities, government, and others are the verticals that the market is divided into. During the projection period, the healthcare category is expected to rise. Medical imaging is one of the platform's most well-known uses. The platform is also being used by the IT and telecommunications industries to boost productivity and efficiency. The platform aids in the automation of routine operations and gives deeper insights into data gathered from various sources.
On The Basis of Component:
Platform
Services
On The Basis of Application:
Marketing & Sales
Logistics
Finance and Accounting
Customer Support
Others
On The Basis of Industry Vertical:
BFSI
Retail and E-Commerce
IT and Telecom
Transportation
Healthcare
Manufacturing
Others
.png)
Ned any customization research on Data Science Platform Market - Enquiry Now
Asia Pacific (APAC), North America, the Middle East and Africa (MEA), Latin America, and Europe are among the areas where the global data science platform market exists. North America appears to be one of the most important areas in the data science platform industry.
The North American data science platform market is expected to retain its dominance due to a number of reasons, including the presence of several major competitors in the area. Furthermore, the increased need for IoT, cloud, and edge solutions is leading in significant data production, which is driving up demand for sophisticated data processing technologies in the area.
REGIONAL COVERAGE:
North America
USA
Canada
Mexico
Europe
Germany
UK
France
Italy
Spain
The Netherlands
Rest of Europe
Asia-Pacific
Japan
south Korea
China
India
Australia
Rest of Asia-Pacific
The Middle East & Africa
Israel
UAE
South Africa
Rest of Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
The major key players are 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. and Other Players
| Report Attributes | Details |
| Market Size in 2022 | US$ 7.97 Bn |
| Market Size by 2030 | US$ 46.56 Bn |
| CAGR | CAGR of 24.67% From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • by Component (Platform and Services) • by Application (Marketing & Sales, Logistics, Finance and Accounting, Customer Support, Others) • by Industry Vertical (BFSI, Retail and E-Commerce, IT and Telecom, Transportation, Healthcare, Manufacturing, Others) |
| Regional Analysis/Coverage | North America (USA, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, Netherlands, Rest of Europe), Asia-Pacific (Japan, South Korea, China, India, Australia, Rest of Asia-Pacific), The Middle East & Africa (Israel, UAE, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | 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. |
| Key Drivers | • Demand for analytical tools is on the rise • It assists users in shaping, controlling, and measuring data as well as developing organizational strategies |
| Market Opportunities | • The data-intensive strategy is increasingly being adopted by businesses • the emergence of modern technologies such as big data, machine learning, the Internet of Things, and the cloud |
Ans: - The Data Science Platform market size was valued at USD 7.97 Bn in 2022.
Ans: - The emergence of modern technologies such as big data, machine learning, the Internet of Things, and the cloud.
Ans: - The segments are covered in the Data Science Platform Market report for study On the Basis of Component, application, and vertical.
Ans. The major key players are Microsoft Corporation, Sas institute inc., Fair Issac Corporation (fico), International business machines corporation (IBM corporation), Sap SE, Teradata Corporation, Altreyx, inc., and Dataiku sas, Rapidminer Inc., The MathWorks inc.
Ans. The study includes a comprehensive analysis of Speech-to-text API Market trends, as well as present and future market forecasts. DROC analysis, as well as impact analysis for the projected period. Porter's five forces analysis aids in the study of buyer and supplier potential as well as the competitive landscape etc.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.2 Impact of Ukraine- Russia war
4.3 Impact of ongoing Recession
4.3.1 Introduction
4.3.2 Impact on major economies
4.3.2.1 US
4.3.2.2 Canada
4.3.2.3 Germany
4.3.2.4 France
4.3.2.5 United Kingdom
4.3.2.6 China
4.3.2.7 Japan
4.3.2.8 South Korea
4.3.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Data Science Platform Market Segmentation, by Component
8.1 Platform
8.2 Services
9. Data Science Platform Market Segmentation, by Application
9.1 Marketing & Sales
9.2 Logistics
9.3 Finance and Accounting
9.4 Customer Support
9.5 Others
10. Data Science Platform Market Segmentation, by Industry Vertical
10.1 BFSI
10.2 Retail and E-Commerce
10.3 IT and Telecom
10.4 Transportation
10.5 Healthcare
10.6 Manufacturing
10.7 Others
11. Regional Analysis
11.1 Introduction
11.2 North America
11.2.1 USA
11.2.2 Canada
11.2.3 Mexico
11.3 Europe
11.3.1 Germany
11.3.2 UK
11.3.3 France
11.3.4 Italy
11.3.5 Spain
11.3.6 The Netherlands
11.3.7 Rest of Europe
11.4 Asia-Pacific
11.4.1 Japan
11.4.2 South Korea
11.4.3 China
11.4.4 India
11.4.5 Australia
11.4.6 Rest of Asia-Pacific
11.5 The Middle East & Africa
11.5.1 Israel
11.5.2 UAE
11.5.3 South Africa
11.5.4 Rest
11.6 Latin America
11.6.1 Brazil
11.6.2 Argentina
11.6.3 Rest of Latin America
12. Company Profiles
12.1 Microsoft corporation
12.1.1 Financial
12.1.2 Products/ Services Offered
12.1.3 SWOT Analysis
12.1.4 The SNS view
12.2 Sas institute inc.
12.3 Fair issac corporation (fico)
12.4 International business machines corporation (IBM corporation)
12.5 Sap se
12.6 Teradata corporation
12.7 Altreyx, inc.
12.8 Dataiku sas
12.9 Rapidminer inc
12.10 The MathWorks inc
13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Market Share Analysis
13.3 Recent Developments
14. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
The Recruitment Process Outsourcing (RPO) Market Size was valued at USD 7.7 billion in 2022 and is projected to reach USD 24.42 billion by 2030 with a growing CAGR of 15.52% From 2023 to 2030.
The Audio Communication Monitoring System Market size was USD 2.6 billion in 2022 and is expected to Reach USD 10.6 billion by 2030 and grow at a CAGR of 19.3 % over the forecast period of 2023-2030.
Smart Workplace Market is anticipated to develop at a CAGR of 14.98% from 2023 to 2030, from a value of USD 18.03 billion in 2022 to USD 55.07 billion in 2030.
The Cloud Compliance Market size was USD 30.0 billion in 2022 and is expected to Reach USD 89.8 billion by 2030 and grow at a CAGR of 14.7% over the forecast period of 2023-2030.
The Automatic Identification and Data Capture Market size was valued at USD 53.46 billion in 2022 and is expected to grow to USD 133.31 billion by 2030 and grow at a CAGR of 12.1% over the forecast period of 2023-2030.
The Smart Port Market size was valued at USD 2.08 billion in 2022 and is expected to grow to USD 11.70 billion By 2030 and grow at a CAGR of 24.1 % over the forecast period of 2023-2030.
Hi! Click one of our member below to chat on Phone
© 2024 All Rights Reserved by SNS Insider Pvt Ltd
