资料准备工具市场 - 全球产业规模、份额、趋势、机会及预测（按平台、部署方式、功能、产业垂直领域、地区和竞争格局划分，2021-2031 年）

全球资料准备工具市场预计将从 2025 年的 83.9 亿美元大幅成长至 2031 年的 217.5 亿美元，复合年增长率达 17.21%。

这些工具包含用于提取、清洗、转换和载入原始资料的专用软体，最终产生可供分析的统一格式资料。市场的主要驱动因素是资料量和资料种类的爆炸性成长，以及对自主分析能力日益增长的需求，这些能力使业务使用者无需大量IT支援即可管理资讯。此外，高品质资料对于训练人工智慧 (AI) 和机器学习模型至关重要，这也是推动这些工具广泛应用的重要因素。

儘管市场需求强劲，但将这些现代工具与旧有系统集成，并确保跨不同环境的资料管治，仍面临许多挑战。企业在扩展基础设施以满足现代化分析需求的同时，常常难以维护资料完整性。根据TDWI预测，到2025年，一半的受访者将资料品质和资料清洗难度列为主要挑战。这项持续存在的挑战凸显了数据获取与将其转化为可用于策略性业务决策的有效工具之间存在的巨大差距。

市场驱动因素

来自各种来源的资料量和复杂性呈指数级增长，这是推动采用高级资料准备工具的关键因素。随着企业从包括物联网设备、旧有系统和外部 API 在内的不同管道聚合讯息，它们面临着一个混乱的局面，维护资料完整性变得越来越具有挑战性。这种复杂性使得拥有能够摄取、清洗和标准化大规模资料集的强大解决方案变得至关重要，从而避免营运瓶颈。根据 dbt Labs 在 2025 年初发布的《2025 年分析工程现状》报告，数据品质不佳仍然是数据团队面临的最常见挑战，超过 56% 的受访者提到了这一点。这凸显了这些现代平台必须填补的一个关键空白：将碎片化的资讯转化为可信赖的资产。

同时，人工智慧和机器学习的整合正在革新市场，透过自动化数据准备大幅减轻人工工作的负担。这些工具内建的复杂演算法能够智慧地侦测模式、异常值和相关性，从而自动完成以往耗时费力的重复性资料清洗任务。根据 Alteryx 于 2025 年 2 月发布的《人工智慧时代资料分析师现况（2​​025 年版）》报告，十分之七的分析师认为人工智慧和自动化分析将提升他们的工作效率。这项技术变革不仅提高了生产力，也确保了最高品质的资料输入到下游人工智慧模型中。 Salesforce 2025 年的一项调查也印证了这项必要性，该调查发现，84% 的资料负责人认识到「人工智慧的输出取决于输入的品质」。

市场挑战

将资料准备工具与旧有系统集成，并确保在孤立的环境中实现稳健的管治，仍然是市场成长的关键障碍。企业常常难以将现代软体与其现有基础设施相匹配，导致资料池碎片化，难以存取和整合。这种技术上的摩擦增加了实施成本，延长了部署週期，往往抵消了这些工具所承诺的速度和效率。因此，企业面临阻碍其扩展分析能力的瓶颈，决策者也对那些无法与现有资料库无缝整合的解决方案犹豫不决。

这种营运效率低下直接阻碍了资料完整性的维护，而资料完整性对于准确的分析和模型训练至关重要。无法有效管理不同的系统会导致对资料品质缺乏信心，并减缓企业范围内的采用速度。这种能力差距在近期的产业调查中显而易见：CompTIA 2024 年的调查发现，只有 25% 的组织表示他们在有效管理和分析数据方面的能力「达到了要求水准」。这项数据凸显了管理和整合挑战的严峻性，这些挑战仍然是限制全球资料准备工具市场扩张的重要因素。

市场趋势

自助式和无程式码资料准备工具的普及正在从根本上改变市场格局，将资料处理能力从技术专家转移到领域专家。寻求加速洞察生成的公司正在采用基于视觉化介面的解决方案，使非技术用户无需编写复杂程式码即可管理和转换资料集。这种民主化消除了 IT 资源有限而造成的瓶颈，并赋予「公民资料整合者」管理特定分析需求资讯的能力。根据 Kissflow 于 2025 年 12 月发布的报告《您需要了解的 35 个低程式码统计资料和趋势》，预计到 2025 年底，50% 的低程式码工具新使用者将来自 IT 部门以外的业务团队，这标誌着使用者群体组成发生了重大变化。

同时，随着企业将资料工作流程工业化以支援人工智慧的可扩展性和持续交付，资料就绪工具正越来越多地被整合到资料运维 (DataOps) 和机器学习运维 (MLOps) 自动化管道中。现代工具已发展成为自动化 CI/CD 管道的整合元件，确保资料清洗和转换步骤像软体程式码一样进行版本控制、测试和监控。这一趋势的驱动力在于迫切需要减少与脆弱的手动资料工程工作相关的运维开销，这些工作常常会阻碍生产部署。根据 Fivetran 2025 年 5 月发布的《人工智慧和资料就绪调查》，67% 的集中式公司将超过 80% 的工程资源用于维护资料管道，这证实了市场对以资料运维为中心的自动化解决方案的迫切需求。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章：全球资料准备工具市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按平台（自助服务、数据整合）
  • 依部署类型（本机部署、云端部署）
  • 依功能分类（资料收集、资料编目、资料品质、资料管治、资料撷取、资料管理）
  • 按行业划分（IT与电信、零售与电子商务、银行、金融服务与保险、政府、医疗保健、能源与公共产业、製造业、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

6. 北美数据准备工具市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 我们
  • 加拿大
  • 墨西哥

7. 欧洲资料准备工具市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

8. 亚太地区资料准备工具市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

9. 中东和非洲资料准备工具市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

10. 南美洲资料准备工具市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章 全球资料准备工具市场：SWOT分析

第十四章 波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• Alteryx, Inc.
• Trifacta, Inc.
• Talend SA
• International Business Machines Corporation
• SAP SE
• Informatica LLC
• Oracle Corporation
• Microsoft Corporation
• DataRobot, Inc.
• RapidMiner, Inc.

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global Data Preparation Tools Market is projected to expand significantly, growing from USD 8.39 Billion in 2025 to USD 21.75 Billion by 2031, representing a CAGR of 17.21%. These tools consist of specialized software designed to extract, cleanse, transform, and load raw data into a consolidated format ready for analysis. The market is primarily driven by the explosive increase in data volume and variety, coupled with a rising demand for independent analytics capabilities that allow business users to manage information without extensive IT support. Additionally, the critical need for high-quality data to train artificial intelligence and machine learning models serves as a fundamental catalyst for widespread adoption.

Despite this strong demand, the market encounters substantial obstacles regarding the complexity of integrating these modern tools with legacy systems and ensuring data governance across isolated environments. Organizations frequently struggle to preserve data integrity while scaling infrastructure to meet contemporary analytical demands. According to TDWI, in 2025, half of the respondents highlighted difficulty with data quality and cleansing as a major pain point. This persistent challenge underscores the significant gap between simply acquiring data and rendering it practically usable for strategic business decision-making.

Market Driver

The exponential growth in data volume and complexity from diverse sources acts as a primary force propelling the adoption of sophisticated preparation tools. As organizations aggregate information from disparate channels like IoT devices, legacy systems, and external APIs, they encounter a chaotic landscape where maintaining data integrity becomes increasingly difficult. This complexity necessitates robust solutions capable of ingesting, cleansing, and standardizing massive datasets to prevent operational bottlenecks. According to dbt Labs' '2025 State of Analytics Engineering' report from early 2025, poor data quality remains the most frequently reported challenge for data teams, cited by over 56% of respondents, highlighting the critical gap these modern platforms fill in transforming fragmented information into reliable assets.

Concurrently, the integration of AI and machine learning is revolutionizing the market by dramatically reducing manual workloads through automated data preparation. Advanced algorithms embedded within these tools intelligently detect patterns, anomalies, and relationships, automating repetitive cleansing tasks that previously consumed valuable time. According to the 'The 2025 State of Data Analysts in the Age of AI' report by Alteryx in February 2025, seven out of 10 analysts agree that AI and analytics automation enhance their effectiveness. This technological shift not only boosts productivity but ensures that data feeding downstream AI models is of the highest caliber, a necessity reinforced by Salesforce in 2025, where 84% of data leaders agreed that AI outputs are only as good as their inputs.

Market Challenge

The difficulty of integrating data preparation tools with legacy systems and ensuring robust governance across siloed environments remains a primary obstacle restricting market growth. Organizations frequently struggle to align modern software with entrenched infrastructure, resulting in fragmented data pools that are challenging to access and unify. This technical friction increases implementation costs and prolongs deployment timelines, often negating the speed and efficiency promised by these tools. Consequently, businesses face bottlenecks that hinder the scaling of analytical capabilities, causing decision-makers to hesitate in adopting solutions that cannot communicate seamlessly with existing databases.

This operational inefficiency directly hampers the ability to maintain data integrity, which is essential for accurate analytics and model training. When disparate systems cannot be governed effectively, the resulting lack of trust in data quality stalls enterprise-wide usage. This capability gap is evident in recent industry findings; according to CompTIA in 2024, only 25 percent of companies reported feeling they were exactly where they needed to be regarding their ability to manage and analyze data effectively. This statistic highlights the severity of the management and integration struggle, which continues to act as a significant brake on the expansion of the Global Data Preparation Tools Market.

Market Trends

The proliferation of self-service and no-code data preparation tools is fundamentally reshaping the market by transferring data manipulation capabilities from technical specialists to business domain experts. Enterprises seeking to accelerate insight generation are deploying visual interface-based solutions that allow non-technical users to curate and transform datasets without writing complex code. This democratization addresses bottlenecks caused by limited IT resources, empowering "citizen data integrators" to manage information for their specific analytical needs. According to the December 2025 '35 Must-Know Low-Code Statistics And Trends' report by Kissflow, 50% of all new users of low-code tools will come from business teams outside the IT department by the end of 2025, signaling a massive shift in user base composition.

Simultaneously, the incorporation of preparation tools into DataOps and MLOps automation pipelines is gaining traction as organizations industrialize data workflows to support AI scalability and continuous delivery. Modern tools are evolving into integrated components of automated CI/CD pipelines, ensuring that data cleaning and transformation steps are versioned, tested, and monitored similarly to software code. This trend is driven by the critical necessity to reduce the operational overhead associated with fragile, manual data engineering tasks that often stall production deployments. According to Fivetran's May 2025 'AI and Data Readiness Survey', 67% of centralized enterprises allocate over 80 percent of their engineering resources to maintaining data pipelines, underscoring the urgent market push toward automated DataOps-centric solutions.

Key Market Players

• Alteryx, Inc.
• Trifacta, Inc.
• Talend S.A.
• International Business Machines Corporation
• SAP SE
• Informatica LLC
• Oracle Corporation
• Microsoft Corporation
• DataRobot, Inc.
• RapidMiner, Inc.

Report Scope

In this report, the Global Data Preparation Tools Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Data Preparation Tools Market, By Platform

• Self Service
• Data Integration

Data Preparation Tools Market, By Deployment

• On-premises
• Cloud

Data Preparation Tools Market, By Function

• Data Collection
• Data Cataloging
• Data Quality
• Data Governance
• Data Ingestion
• Data Curation

Data Preparation Tools Market, By Industry Vertical

• IT and Telecom
• Retail and E-commerce
• BFSI
• Government
• Healthcare
• Energy and Utilities
• Manufacturing
• Others

Data Preparation Tools Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Data Preparation Tools Market.

Available Customizations:

Global Data Preparation Tools Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Data Preparation Tools Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Platform (Self Service, Data Integration)
  • 5.2.2. By Deployment (On-premises, Cloud)
  • 5.2.3. By Function (Data Collection, Data Cataloging, Data Quality, Data Governance, Data Ingestion, Data Curation)
  • 5.2.4. By Industry Vertical (IT and Telecom, Retail and E-commerce, BFSI, Government, Healthcare, Energy and Utilities, Manufacturing, Others)
  • 5.2.5. By Region
  • 5.2.6. By Company (2025)
• 5.3. Market Map

6. North America Data Preparation Tools Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Platform
  • 6.2.2. By Deployment
  • 6.2.3. By Function
  • 6.2.4. By Industry Vertical
  • 6.2.5. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Data Preparation Tools Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Platform
      • 6.3.1.2.2. By Deployment
      • 6.3.1.2.3. By Function
      • 6.3.1.2.4. By Industry Vertical
  • 6.3.2. Canada Data Preparation Tools Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Platform
      • 6.3.2.2.2. By Deployment
      • 6.3.2.2.3. By Function
      • 6.3.2.2.4. By Industry Vertical
  • 6.3.3. Mexico Data Preparation Tools Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Platform
      • 6.3.3.2.2. By Deployment
      • 6.3.3.2.3. By Function
      • 6.3.3.2.4. By Industry Vertical

7. Europe Data Preparation Tools Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Platform
  • 7.2.2. By Deployment
  • 7.2.3. By Function
  • 7.2.4. By Industry Vertical
  • 7.2.5. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Data Preparation Tools Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Platform
      • 7.3.1.2.2. By Deployment
      • 7.3.1.2.3. By Function
      • 7.3.1.2.4. By Industry Vertical
  • 7.3.2. France Data Preparation Tools Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Platform
      • 7.3.2.2.2. By Deployment
      • 7.3.2.2.3. By Function
      • 7.3.2.2.4. By Industry Vertical
  • 7.3.3. United Kingdom Data Preparation Tools Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Platform
      • 7.3.3.2.2. By Deployment
      • 7.3.3.2.3. By Function
      • 7.3.3.2.4. By Industry Vertical
  • 7.3.4. Italy Data Preparation Tools Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Platform
      • 7.3.4.2.2. By Deployment
      • 7.3.4.2.3. By Function
      • 7.3.4.2.4. By Industry Vertical
  • 7.3.5. Spain Data Preparation Tools Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Platform
      • 7.3.5.2.2. By Deployment
      • 7.3.5.2.3. By Function
      • 7.3.5.2.4. By Industry Vertical

8. Asia Pacific Data Preparation Tools Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Platform
  • 8.2.2. By Deployment
  • 8.2.3. By Function
  • 8.2.4. By Industry Vertical
  • 8.2.5. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Data Preparation Tools Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Platform
      • 8.3.1.2.2. By Deployment
      • 8.3.1.2.3. By Function
      • 8.3.1.2.4. By Industry Vertical
  • 8.3.2. India Data Preparation Tools Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Platform
      • 8.3.2.2.2. By Deployment
      • 8.3.2.2.3. By Function
      • 8.3.2.2.4. By Industry Vertical
  • 8.3.3. Japan Data Preparation Tools Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Platform
      • 8.3.3.2.2. By Deployment
      • 8.3.3.2.3. By Function
      • 8.3.3.2.4. By Industry Vertical
  • 8.3.4. South Korea Data Preparation Tools Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Platform
      • 8.3.4.2.2. By Deployment
      • 8.3.4.2.3. By Function
      • 8.3.4.2.4. By Industry Vertical
  • 8.3.5. Australia Data Preparation Tools Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Platform
      • 8.3.5.2.2. By Deployment
      • 8.3.5.2.3. By Function
      • 8.3.5.2.4. By Industry Vertical

9. Middle East & Africa Data Preparation Tools Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Platform
  • 9.2.2. By Deployment
  • 9.2.3. By Function
  • 9.2.4. By Industry Vertical
  • 9.2.5. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Data Preparation Tools Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Platform
      • 9.3.1.2.2. By Deployment
      • 9.3.1.2.3. By Function
      • 9.3.1.2.4. By Industry Vertical
  • 9.3.2. UAE Data Preparation Tools Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Platform
      • 9.3.2.2.2. By Deployment
      • 9.3.2.2.3. By Function
      • 9.3.2.2.4. By Industry Vertical
  • 9.3.3. South Africa Data Preparation Tools Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Platform
      • 9.3.3.2.2. By Deployment
      • 9.3.3.2.3. By Function
      • 9.3.3.2.4. By Industry Vertical

10. South America Data Preparation Tools Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Platform
  • 10.2.2. By Deployment
  • 10.2.3. By Function
  • 10.2.4. By Industry Vertical
  • 10.2.5. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Data Preparation Tools Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Platform
      • 10.3.1.2.2. By Deployment
      • 10.3.1.2.3. By Function
      • 10.3.1.2.4. By Industry Vertical
  • 10.3.2. Colombia Data Preparation Tools Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Platform
      • 10.3.2.2.2. By Deployment
      • 10.3.2.2.3. By Function
      • 10.3.2.2.4. By Industry Vertical
  • 10.3.3. Argentina Data Preparation Tools Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Platform
      • 10.3.3.2.2. By Deployment
      • 10.3.3.2.3. By Function
      • 10.3.3.2.4. By Industry Vertical

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Data Preparation Tools Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. Alteryx, Inc.
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Trifacta, Inc.
• 15.3. Talend S.A.
• 15.4. International Business Machines Corporation
• 15.5. SAP SE
• 15.6. Informatica LLC
• 15.7. Oracle Corporation
• 15.8. Microsoft Corporation
• 15.9. DataRobot, Inc.
• 15.10. RapidMiner, Inc.

16. Strategic Recommendations

17. About Us & Disclaimer