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市场调查报告书
商品编码
1674170
资料科学平台市场按组件、部署类型、最终用户和地区划分Data Science Platform Market, By Component, By Deployment Mode, By End User, By Geography |
2025 年全球资料科学平台市场规模估计为 135.5 亿美元,预计到 2032 年将达到 570.7 亿美元,2025 年至 2032 年的年复合成长率(CAGR)为 22.8%。
报告范围 | 报告详细信息 | ||
---|---|---|---|
基准年 | 2024 | 2025 年市场规模 | 135.5亿美元 |
效能资料 | 2020-2024 | 预测期 | 2025-2032 |
预测期:2025 年至 2032 年复合年增长率 | 22.80% | 2032 年金额预测 | 570.7亿美元 |
资料科学平台提供资料视觉化和预测分析功能,使业务用户和资料专家能够合作开发、测试和部署预测模型。它帮助公司加速资料科学过程以使机器学习模型实用化。它还提供资料提取、细化、分析和视觉化功能,以支援整个资料科学生命週期。随着企业在行销、销售、营运和风险管理等各个职能领域采用分析和机器学习技术,巨量资料的兴起正在推动对这些平台的需求。云端基础的服务的日益普及以及从资料中获取可操作见解的需求不断增长,正在推动市场成长。
全球资料科学平台市场的成长是由企业日益增长的需求所推动的,即从每天产生的大量资料中获取可操作的见解。利用高阶分析功能的资料科学平台可协助公司做出明智的业务决策、改善客户体验并简化业务。然而,实施此类平台的成本高昂,加上熟练工程师的短缺,阻碍了其广泛应用。企业对云端基础的服务的偏好日益增加,以及人工智慧成为策略性业务重点,这可能为供应商带来新的机会。资料科学与机器学习、深度学习和物联网等其他新兴技术的结合可能会促进需求。
本报告对全球资料科学平台市场进行了详细分析,并以 2024 年为基准年,展示了预测期(2025-2032 年)的市场规模和年复合成长率(CAGR%)。
它还强调了各个领域的潜在商机并说明了该市场的有吸引力的投资提案矩阵。
它还提供了关于市场驱动因素、限制因素、机会、新产品发布和核准、市场趋势、区域前景以及主要企业采用的竞争策略的主要考察。
全球资料科学平台市场的主要企业根据公司亮点、产品系列、关键亮点、财务绩效和策略等参数进行分析。
研究涉及的主要企业包括 IBM Corporation、Microsoft Corporation、Google Cloud、SAS Institute Inc.、Oracle Corporation、Tableau Software (Salesforce)、Alteryx, Inc.、RapidMiner, Inc.、DataRobot, Inc.、TIBCO Software Inc.、QlikTech International AB、KNIME AG、Domo, Inc.、TIBCO Software Inc.、QlikTech International AB、KNIME AG、Domo, Inc.、Slake Inc.
本报告的见解将使负责人和公司经营团队能够就未来的产品发布、类型升级、市场扩张和行销策略做出明智的决策。
全球资料科学平台市场报告迎合了该行业的各个相关人员,例如投资者、供应商、产品製造商、经销商、新进入者和金融分析师。
透过全球资料科学平台市场分析中使用的各种策略矩阵,相关人员可以更轻鬆地做出决策。
Global Data Science Platform Market is estimated to be valued at USD 13.55 Bn in 2025 and is expected to reach USD 57.07 Bn by 2032, growing at a compound annual growth rate (CAGR) of 22.8% from 2025 to 2032.
Report Coverage | Report Details | ||
---|---|---|---|
Base Year: | 2024 | Market Size in 2025: | USD 13.55 Bn |
Historical Data for: | 2020 To 2024 | Forecast Period: | 2025 To 2032 |
Forecast Period 2025 to 2032 CAGR: | 22.80% | 2032 Value Projection: | USD 57.07 Bn |
Data science platform provides data visualization and predictive analytics capabilities to enable business users and data professionals to collaborate, develop, test and deploy predictive models. It helps organizations to accelerate the data science process to operationalize machine learning models. It also features capabilities around data ingestion, wrangling, analytics and visualization to support the entire data science lifecycle. Rise of big data has boosted demand for these platforms as enterprises adopt analytics and machine learning technologies for applications across various functions such as marketing, sales, operations, and risk management. Increased adoption of cloud-based services and need to gain actionable insights from data can drive the market growth.
Global data science platform market growth is driven by growing need for organizations to gain actionable insights from the massive amounts of data generated each day. Leveraging advanced analytical capabilities, data science platforms help companies make informed business decisions, enhance customer experience and streamline operations. However, high costs associated with deploying these platforms, coupled with lack of skilled technical workforce can hamper its widespread adoption. Growing inclination of enterprises towards cloud-based services and emergence of AI as a strategic business priority can offer new opportunities for vendors. Integration of data science with other emerging technologies such as machine learning, deep learning and internet of things can boost demand.
This report provides in-depth analysis of the global data science platform market, and provides market size (US$ Bn) and compound annual growth rate (CAGR%) for the forecast period (2025-2032), considering 2024 as the base year
It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
It profiles key players in the global data science platform market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies
Key companies covered as a part of this study include IBM Corporation, Microsoft Corporation, Google Cloud, SAS Institute Inc., Oracle Corporation, Tableau Software (Salesforce), Alteryx, Inc., RapidMiner, Inc., DataRobot, Inc., TIBCO Software Inc., QlikTech International AB, KNIME AG, Domo, Inc., Sisense, Inc., and Snowflake Inc.
Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
Global data science platform market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global data science platform market
Detailed Segmentation-