NEW YORK, May 13, 2024 /PRNewswire/ -- The global data science platform market size is estimated to grow by USD 249.15 bn from 2023-2027, according to Technavio. The market is estimated to grow at a CAGR of 26.78% during the forecast period.
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Forecast period |
2023-2027 |
Growth momentum & CAGR |
Accelerate at a CAGR of 26.78% |
Market growth 2023-2027 |
USD 249.15 billion |
Market structure |
Fragmented |
YoY growth 2022-2023 (%) |
25.6 |
Regional analysis |
North America, Europe, APAC, South America, and Middle East and Africa |
Performing market contribution |
North America at 39% |
Key countries |
US, Canada, China, Germany, and UK |
Key companies profiled |
Alphabet Inc., Altair Engineering Inc., Alteryx Inc., Anaconda Inc., Cloudera Inc., Databricks Inc., Dataiku Inc., DataRobot Inc., Domino Data Lab Inc., International Business Machines Corp., Microsoft Corp., Oracle Corp., Rapid Insight Inc., RapidMiner Inc., Rexer Analytics, Rstudio PBC, SAS Institute Inc., The MathWorks Inc., Vista Equity Partners Management LLC, and Wolfram |
Market Driver
The data science platform market is characterized by advanced technologies and innovations, including Big Data technology, machine learning, artificial intelligence, and IoT. Key players offer solutions for data gathering, preparation, exploration, model development, distribution, and scaling. These platforms cater to various enterprise types, from small and medium enterprises to large organizations in industries like BFSI. They address challenges such as data cleaning, security, and privacy concerns, while providing technical expertise and investment requirements for deployment options like on-premise and cloud.
Market Challenges
- In the data science platform market, security and privacy are paramount concerns. With the digitization of business data comes increased volumes and vulnerabilities. Cloud-powered technologies, while offering advanced analytics techniques like predictive analytics and data visualization, also expose access to sensitive corporate information. Key data science areas such as data management, data security, and data privacy are crucial. Providers must ensure complete life cycle support, including data generation, capture, processing, storage, and utilization, while maintaining data quality and adhering to data requirements. Innovative data solutions and strategies are essential to address data volume, patterns, and monitoring, ultimately building a strong data culture for effective data adoption and analysis.
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Segment Overview
This data science platform market report extensively covers market segmentation by
- Component
- 1.1 Platform
- 1.2 Services
- Deployment
- 2.1 On-premise
- 2.2 Cloud
- Geography
- 3.1 North America
- 3.2 Europe
- 3.3 APAC
- 3.4 South America
- 3.5 Middle East and Africa
1.1 Platform- The Data Science Platform market is witnessing significant growth due to the increasing adoption of Data Science Workflow in various industries. These platforms facilitate Data Acquisition from diverse sources, including Big Data, IoT, Multimedia, Machine Data, Consumer Data, and Business Data, stored in Relational Databases and unstructured formats. Machine Learning (ML) and Artificial Intelligence (AI) are integral components of these platforms, enabling the development and deployment of Machine Learning Models and advanced analytics techniques such as Streaming Analytics, Predictive Analytics, and Managed Services. Data Science Tools integrated with ML and Cloud Computing offer flexibility and scalability, catering to Application Niches in Manufacturing, Large Enterprises, and among Employees. Trade Regulations and data privacy concerns are addressed through robust security features and compliance with industry standards. Deployment and Integration, Support and Maintenance, Data Discovery, and Customer Base expansion are key focus areas for vendors. Data Generation, Data Capture, Data Correction, Data Processing, and Data Storage are essential functions streamlined by these platforms to enable Data-driven Decisions and enhance customer experience.
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Research Analysis
In the dynamic and ever-evolving landscape of Data Science, the Data Science Platform Market plays a pivotal role in facilitating the complete life cycle of data science projects. These platforms offer cloud-based solutions, enabling seamless integration of Big Data, Consumer Data, Business Data, and Multimedia. They provide tools for data exploration, model development, and distribution, ensuring efficient Data Preparation, Data Cleaning, and Preprocessing. Machine Learning and Artificial Intelligence (AI) are integral components of these platforms, with Machine Learning Models being developed through training and modeling stages. Data Acquisition is simplified with these solutions, while Visualization tools aid in understanding complex data sets. Relational Databases and Unstructured Data are effectively managed through Data Science Workflow, ensuring the accurate handling of Machine Data and ensuring the successful execution of data science projects. Data Science Tools within these platforms cater to the needs of data scientists at every stage, making them an indispensable asset in today's data-driven world.
Market Research Overview
In today's data-driven business landscape, the Data Science Platform market plays a pivotal role in enabling organizations to derive valuable insights from their data. These platforms provide a comprehensive suite of tools and services for data processing, analytics, machine learning, and visualization. Key components of Data Science Platforms include Cloud-based bases, Machine Learning models, Data Storage and Processing, Real-time analytics, Predictive Analytics, and Interactive Dashboards. They cater to various industries such as Healthcare, Finance, Retail, and Manufacturing, providing customized solutions to manage and analyze complex data. The Data Science Platform market is expected to grow significantly due to the increasing demand for data-driven decision-making and the availability of large amounts of data. Companies are investing in these platforms to gain a competitive edge and improve operational efficiency.
Table of Contents:
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation
- Component
- Platform
- Services
- Deployment
- On-premise
- Cloud
- Geography
- North America
- Europe
- APAC
- South America
- Middle East And Africa
7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix
About Technavio
Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.
With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.
Contacts
Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: [email protected]
Website: www.technavio.com/
SOURCE Technavio
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