Data Science Platform Market Expansion 2024-2033: Growth Drivers and Dynamics

The data science platform global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Data Science Platform Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size –

The data science platform market size has grown exponentially in recent years. It will grow from $94.73 billion in 2023 to $122.82 billion in 2024 at a compound annual growth rate (CAGR) of 29.6%. The growth in the historic period can be attributed to demand for predictive analytics, regulatory compliance requirements, open source ecosystem growth, increasing data complexity, focus on data governance and privacy..

The data science platform market size is expected to see exponential growth in the next few years. It will grow to $361.44 billion in 2028 at a compound annual growth rate (CAGR) of 31.0%. The growth in the forecast period can be attributed to exponential growth in unstructured data, natural language processing (nlp) advancements, cross-functional collaboration platforms, democratization of data science.. Major trends in the forecast period include hybrid and multi-cloud deployments, integration with business intelligence , exponential increase in data science applications, continuous model monitoring and management, hyperautomation and process integration, collaborative model development and versioning..

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Scope Of Data Science Platform Market

The Business Research Company’s reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

Market Drivers –

The increase in demand for big data analytics is expected to propel the growth of the data science platform market during the forecast period. Big data analytics employs advanced analytic techniques to analyze a mixture of structured, semi-structured, and unstructured data collected by businesses and entities. Data science is the practice of extracting important information from data using advanced analytics techniques and scientific principles for enterprise decisions, strategic planning, and other purposes. For instance, according to Techjury, a US-based software company, the big data analytics sector is projected to reach $77 billion by 2023. Therefore, the increasing demand for big data analytics drives the data science platform market growth.

Market Trends –

Product innovations have emerged as the key trend gaining popularity in the 5G chipset market. The major players in the market are developing innovative products for market growth. For instance, in June 2021, Samsung Electronics, a South Korea-based electronics company, developed 3GPP Rel.16 compliant chipsets, a range of next-generation 5G chipsets that deliver cutting-edge 5G technologies. The new chipsets consist of a second-generation 5G modem System-on-Chip (SoC), a third-generation mmWave Radio Frequency Integrated Circuit (RFIC) chip, and a Digital Front End (DFE)-RFIC integrated chip. These are designed to increase power efficiency, boost performance, and reduce the size of 5G solutions.

The data science platform market covered in this report is segmented –

1) By Type: Solutions, Services
2) By Deployment: Cloud-Based, On-Premise
3) By End User: BFSI, Telecommunication, Transportation And Logistics, Healthcare, Manufacturing, Other End Users

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Regional Insights –

North America was the largest region in the data science platform market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data science platform market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

Key Companies –

Major companies operating in the data science platform market report are Microsoft Corporation, Google LLC, International Business Machines Corporation (IBM), Oracle Corporation, Alteryx Inc., SAP SE, Teradata Corporation, TIBCO Software Inc., RapidMiner Inc., MathWorks Inc., SAS Institute Inc., Wolfram Research Inc., Dataiku Inc., Fair Isaac Corporation (FICO), Altair Engineering Inc., DataRobot Inc., Apheris AI GmbH, The Digital Talent Ecosystem, Anaconda Inc., Amazon Web Services Inc. (AWS), Cloudera Inc., Databricks Inc., Snowflake Inc., Accenture PLC, OpenText Corporation, Splunk Inc., Unified ID Inc., NVIDIA Corporation, Sumo Logic Inc., Sisense Inc., VMware Inc., Walmart Inc., JPMorgan Chase & Co., Ernst & Young (EY), Domino Data Lab Inc., WNS Global Services Pvt. Ltd., BRIDGEi2i Analytics Solutions Pvt. Ltd.

Table of Contents
1. Executive Summary
2. Data Science Platform Market characterstics
3. Data Science Platform Market Trends And Strategies
4. Data Science Platform Market – Macro Economic Scenario
5. Global Data Science Platform Market Size And Growth
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31. Global Data Science Platform Market Competitive Benchmarking
32. Global Data Science Platform Market Competitive Dashboard
33. Key Mergers And Acquisitions In The Data Science Platform Market
34. Data Science Platform Market Future Outlook and Potential Analysis
35. Appendix

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