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Global Data Science Platform Market Report Overview:
According to the latest market study by MarkNtel Advisors titled “Global Data Science Platform Market Size, Share, Trends, Growth, Opportunity Analysis 2022-2027” presents a thorough examination of market drivers, opportunities and challenges.
Utilizing a quantitative approach, it offers precise insights into market size, share, and growth. Crafted by industry experts, the report delves into consumption patterns, geographical analysis, and competitive landscapes. Its objective is to furnish valuable insights for clients seeking to comprehend and leverage market dynamics. With a dual focus on historical achievements and future projections, it furnishes a nuanced understanding of the market terrain.
Global Data Science Platform Market Insight:
The Global Data Science Platform Market is projected to grow at a CAGR of around 27% during the forecast period, i.e., 2022-27.
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Key Drivers: The Exponential Rise in Big Data Worldwide
The amount of data companies generate is continually surging due to the growing penetration of social media & the IoT worldwide. Human & machine-generated data is typically 10 times greater than that produced by corporates, and the majority of that is user-driven & oriented. This exponential surge in data collection has created prospects for businesses to learn & adopt new data processing technologies, which, as a result, is augmenting the adoption of data analytics solutions across different industries and driving the Global Data Science Platform Market.
Competitor Insight: Data Science Platform Market
This report focuses on major market participants like:
- ActionIQ
- Alphabet Inc. (Google)
- Alteryx Inc.
- Amazon Web Services, Inc.
- Anaconda, Inc.
- Cloudera, Inc.
- Domino Data Lab, Inc.
- IBM Corporation
- ai
- MathWorks
- Microsoft Corporation
- SAP SE
- SAS Institute, Inc.
- Snowflake Inc.
- Teradata Corporation
- Others
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Segmentation Summary: Data Science Platform Market
This segmentation analysis outlines prominent sections in the report’s table of contents. Each segment undergoes thorough analysis, including sub-segments, to showcase both current and historical market sizes. The analysis underscores investment opportunities for rapid growth, particularly in the Data Science Platform Market, with notable highlighting on:
-By Deployment
- On-Premise
- Cloud
Of both deployment methods, Cloud-based analytics is gaining traction and contributing significantly to the growth of the Global Data Science Platform Market. Technologies like AI (Artificial Intelligence), NLP (Natural Language Processing), & Cloud computing are transforming how companies interact with analytics platforms. Cloud-based platforms help companies eliminate the need for substantial investments in establishing physical infrastructure & gathering human expertise required for on-premise analytics solutions. In addition, IT maintenance costs for implementing cloud-based tools or applications are relatively less than on-premise platforms.
-By Application
- Marketing & Sales
- Logistics
- Finance & Accounting
- Customer Support
-By Organization Size
- Small & Medium Enterprises
- Large Enterprises
-By End-User
- Banking, Financial Services, & Insurance (BFSI)
- Telecom & IT
- Retail & E-commerce
- Healthcare & Life Sciences
- Manufacturing
- Government & Defense
- Energy & Utilities
- Others (Media & Entertainment, Transportation & Logistics, etc.)
Data Science Platform Market Geographical Reach:
- North America
- South America
- Europe
- Middle East & Africa
- Asia-Pacific
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Key Questions Addressed:
- Factors Driving Market Growth: Understand the primary drivers propelling the Data Science Platform market forward.
- Access to Reliable Reports: Learn where to access dependable market reports for informed decision-making.
- Growth Projections: Gain insights into anticipated growth projections for the coming years.
- Geographical Hotspots: Identify geographical poised for significant market growth soon.
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Our specialization in niche industries & emerging geographies allows our clients to formulate their strategies in a much more informed way and entail parameters like Go-to-Market (GTM), product development, feasibility analysis, project scoping, market segmentation, competitive benchmarking, market sizing & forecasting, & trend analysis, among others.
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