Global Data Science Platform market size was valued at USD 96.2 Billion in 2023 and the total Data Science Platform Market revenue is expected to grow at 26.8 % from 2024 to 2030, reaching nearly USD 507 Billion.
Market Overview:
A comprehensive analysis of terminologies, segments, functions, and the industry’s value chain structure was conducted in the Global Data Science Platform Market Research Report. The report provides impartial expert insights into the current market scenario, previous financial performance, consumption patterns, demand-supply dynamics, and revenue projections for the forecast period. Additionally, it delves into the strategic goals and growth strategies of major players in the Global Data Science Platform sector, including mergers and acquisitions, government and private sector transactions, partnerships, collaborations, joint ventures, brand promotions, and product launches. In essence, the study offers a holistic view of the Global Data Science Platform market at both global and regional levels.
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Market Scope:
The research encompasses various strategies such as mergers and acquisitions, government and private sector transactions, partnerships, collaborations, joint ventures, brand promotions, and product launches. This comprehensive approach ensures a thorough understanding of the Global Data Science Platform market dynamics on both global and regional scales.
Drivers:
The primary driver behind the growth of the data science platform market is the relentless surge in data volumes and complexity. Visualize data as an overwhelming surge, expected to reach 175 zettabytes by 2025. Including sensor readings and social media posts, adding layers of complexity. The driver lies in the necessity for solutions that navigate and make sense of this intricate data ecosystem. Data science platforms (DSPs) emerge as the solution, offering the infrastructure to ingest, store, and analyze the ever-expanding data ocean.
Segmentation:
by Component
Platform
Services
Others (Support and maintenance, Consulting, Etc.)
by Deployment
Cloud
On-premises
by Organization
Size Small and Medium-Sized Enterprises
Large Enterprises
by Vertical
BFSI
Retail and e-commerce
Telecom and IT
Media and Entertainment
Healthcare and Life Sciences
Government and Defense
Manufacturing
Others (Travel and Hospitality, Education and Research)
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Key Players: The report covers major players in the Global Data Science Platform market, including:
North America Data Science Platform Market Key Players
1. AWS (United States)
2. Google (United States)
3. Microsoft (United States)
4. IBM(United States)
5. SAS(United States)
6. MathWorks (United States)
7. Cloudera (United States)
8. Tibco Software (United States)
9. Alibaba Cloud (United States)
10. Alteryx Inc. (United States)
11. Cloudera Inc. (United States)
12. Datarobot Inc. (United States)
13. Domino Data Lab Inc. (United States)
14. Databricks (United States)
15. IBM Corporation (United States)
16. Rexer Analytics (United States)(United States)
17. RapidMiner Inc. (United States)
18. Rapid Insight (United States)
19. Wolfram (United States)
20. Apheris (Germany)
21. SAP (Germany)
22. Dataiku (France)
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Regional Analysis:
The regional analysis section highlights key market influencers and regulatory changes affecting current and future trends. Factors such as new business deals, alternative sales channels, demographic shifts, regulatory measures, and import-export tariffs are crucial in forecasting the market landscape across different regions.
COVID-19 Impact Analysis on Global Data Science Platform Market:
The COVID-19 pandemic has significantly impacted the global Global Data Science Platform industry, leading to disruptions in manufacturing operations due to workforce shortages and plant closures. Reduced production capacity and restrictions on travel and business operations have contributed to a slowdown in the Global Data Science Platform market in 2020.
Key Questions Answered in the Global Data Science Platform Market Report:
• Which segment dominated the Global Data Science Platform market share?
• What was the competitive landscape of the Global Data Science Platform market in 2020?
• What are the key drivers fueling the growth of the Global Data Science Platform market?
• Which region held the largest market share in 2020?
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