全球资料准备市场：按平台、工具、地区、范围和预测

资料准备（资料准备）市场规模与预测

资料准备（资料准备）市场规模预计将在 2024 年达到 40.2 亿美元，到 2031 年达到 161.2 亿美元，2024 年至 2031 年复合年增长率为 19%。资料准备（资料准备）是清理、转换和组织资讯以进行分析和决策的过程。需要在数据分析、商业智慧和机器学习等领域提供准确、高效的见解。随着资料量和复杂性的增加，资料准备将更依赖自动化和人工智慧来提高效率和可扩展性。

全球资料准备（资料准备）市场动态

主要市场推动因素

对数据驱动洞察的需求不断增长：

随着公司越来越依赖数据来制定策略决策，对有效数据准备工具的需求也不断增加。对可靠且可操作资讯的需求不断增长，正在推动对数据管理系统的投资。例如，2024 年 7 月，Gartner 报告称，72% 的公司认为数据驱动的决策对其成长策略至关重要，这表明市场正在不断成长。

自动化和人工智慧技术的进步：

将人工智慧和自动化融入数据准备中可以提高效率和准确性，推动市场扩张。人工智慧驱动的技术可自动执行复杂的资料操作，并最大限度地减少体力劳动和错误。2024 年 4 月，IBM 为其 Data Prep（资料准备）平台配备了增强的 AI 功能，强调向简化资料管理程序的自动化解决方案过渡。

政府措施和资金：

专注于加强数位基础设施和数据管理的政府政策和资金正在推动数据准备业务的成长。例如，2024 年 2 月，欧盟 (EU) 宣布对资料基础设施计画投资 5 亿欧元，其中包括为 dataprep（资料准备）技术提供资金。此类计划有助于增加创新工具和技术在各个领域的使用。

基于云端的解决方案的成长：

由于其可扩展性和灵活性，向云端运算的转变正在创造对基于云端的资料准备解决方案的需求。企业正在将资料管理转移到云端以获得好处。2024 年 6 月，AWS 宣布了其云端资料准备（资料准备）服务的新功能，反映了结合资料工具和云端平台来高效管理大量资料的日益增长的趋势。

主要课题

数据品质和一致性：

随着资料来源和格式变得更加多样化，确保资料品质和一致性是一项关键课题。不准确或不充分的数据可能会导致错误的见解和决策，并且需要严格的验证和清理程序。

数据整合：

资料整合既复杂又耗时。不同的资料格式和来源阻碍了一致观点的形成，并且需要复杂的工具和方法来进行有效整合。

可扩充性和效能问题：

随着资料量的增加，保持效能和可扩展性变得困难。大规模资料准备需要大量运算资源和最佳化技术，以确保快速可靠的结果。

资料隐私和合规性：

遵守资料隐私标准变得越来越困难。为了保护敏感资讯并遵守不断扩大的法律要求，组织必须制定强有力的资料治理策略。

主要趋势

自动化和人工智慧整合的进步：

人工智慧 (AI) 和机器学习 (ML) 在资料准备工具中的使用正在迅速扩大。自动化功能透过减少手动工作并提高准确性来改善资料净化、转换和整合流程。人工智慧驱动的解决方案透过发现异常、建议资料转换和自动化操作，使资料准备更加高效、无错误。

增加自助资料准备：

自助资料准备越来越受欢迎，它允许业务使用者在不涉及 IT 人员的情况下存取和修改资料。这一趋势是由对更快的洞察和决策的渴望所推动的。使用者友善的介面和直觉的技术使非技术人员能够执行资料准备任务，实现资料存取民主化并提高组织敏捷性。

更重视资料治理和合规性：

随着对监管和资料隐私的担忧增加，公司越来越关注资料治理和合规性。资料准备系统越来越多地整合解决资料沿袭、稽核和法规遵循的功能。这种趋势确保资料管理程序符合法律标准，同时保持资料完整性和安全性。

云端资料平台整合：

基于云端的资料平台的使用正在扩大，越来越多的资料准备（data Preparation）技术旨在与云端环境无缝整合。云端整合提供了可扩展性、灵活性和成本效率，使企业无需进行大量基础设施投资即可处理大量资料并执行高级资料准备任务。

目录

第1章 全球data prep（资料准备）市场简介

• 市场概况
• 调查范围
• 先决条件

第 2 章执行摘要

第3章 验证市场研究研究方法

• 数据挖掘
• 验证
• 一次资料
• 数据源列表

第4章 全球资料准备（资料准备）市场展望

• 概述
• 市场动态
  • 促进因素
  • 阻碍因素
  • 机会
• 波特的五力模型
• 价值链分析
• 监管框架

第5章全球资料准备市场：依平台

• 概述
• 数据整合
• 自助资料准备

第6章全球资料准备市场：按工具

• 概述
• 数据品质
• 资料管理
• 数据治理
• 数据目录
• 摄取数据

第7章全球资料准备市场：按地区

• 概述
• 北美
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 法国
  • 欧洲其他地区
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 亚太其他地区
• 世界其他地区
  • 拉丁美洲
  • 中东/非洲

第8章全球资料准备市场：竞争格局

• 概述
• 各公司市占率
• 供应商情况
• 主要发展策略

第9章 公司简介

• Alteryx（US）
• Informatica（US）
• IBM（US）
• TIBCO Software（US）
• Microsoft Corporation (US)
• SAS Institute (US)
• Datawatch (US)
• Tableau Software (US)
• Qlik Technologies (US)
• SAP SE (US)
• Talend (US)
• Microstrategy (US)

第10章附录

• 相关报导

Data Prep Market Size And Forecast

Data Prep Market size was valued at USD 4.02 Billion in 2024 and is projected to reach USD 16.12 Billion by 2031 , growing at a CAGR of 19% from 2024 to 2031. Data preparation is the process of cleansing, converting, and organizing information for analysis and decision-making. It is required in disciplines such as data analytics, business intelligence, and machine learning to provide accurate and efficient insights. As data quantities and complexity increase, data preparation will rely more on automation and artificial intelligence to improve efficiency and scalability.

Global Data Prep Market Dynamics

The key market dynamics that are shaping the global data prep market include:

Key Market Drivers:

Rising Demand for Data-Driven Insights:

As organizations rely more on data to make strategic decisions, the demand for effective data preparation tools grows. The increasing demand for reliable, actionable information has pushed investment in data management systems. For instance, in July 2024 Gartner reported that 72% of firms believe data-driven decision-making is crucial to, their growth strategy, showing the market's expansion.

Advancements in Automation and AI Technologies:

The incorporation of AI and automation into data preparation is driving market expansion by increasing efficiency and precision. AI-powered technologies automate complicated data operations, minimizing manual work and error. In April 2024, IBM included enhanced AI features to its data preparation platform, underlining the transition to automated solutions that streamline data management procedures.

Government Initiatives and Funding:

Government policies and financing focused at strengthening digital infrastructure and data management are driving growth in the data preparation business. As an instance, in February 2024, the European Union announced a €500 million investment in data infrastructure initiatives, including funding for data preparation technologies. Such programs help to increase the usage of innovative tools and technology in a variety of areas.

Growth of Cloud-Based Solutions:

The shift to cloud computing is generating demand for cloud-based data preparation solutions because of their scalability and flexibility. Organizations are migrating data management to the cloud to reap the benefits. In June 2024, AWS introduced new features for its cloud data preparation services, reflecting the growing trend of combining data tools with cloud platforms to manage massive amounts of data efficiently.

Key Challenges:

Data Quality and Consistency:

Due to the variety of data sources and formats, ensuring data quality and consistency continues to be a significant concern. Inaccurate or inadequate data might result in erroneous insights and judgments, demanding rigorous validation and cleaning procedures.

Data integration:

Data integration can be complex and time-consuming. Different data formats and sources impede the formation of a cohesive perspective, necessitating complex tools and methodologies for efficient integration.

Scalability and Performance Issues:

As data quantities increase, maintaining performance and scalability becomes more difficult. Large-scale data preparation requires extensive computational resources and optimized methods to assure fast and reliable results.

Data Privacy and Compliance:

It is becoming increasingly difficult to comply with data privacy standards. To protect sensitive information and comply with growing legal requirements, organizations must develop strong data governance policies.

Key Trends:

Increasing Automation and AI Integration:

The use of artificial intelligence (AI) and machine learning (ML) in data preparation tools is fast growing. Automation capabilities improve data purification, transformation, and integration processes by lowering manual work and increasing accuracy. AI-powered solutions may spot abnormalities, suggest data transformations, and automate operations, making data preparation more efficient and error-free.

Rise in Self-Service Data Preparation:

Self-service data preparation is becoming more popular, allowing business users to access and change data without the need for IT personnel. This trend is motivated by the desire for speedier insights and decisions. User-friendly interfaces and intuitive technologies are being created to allow non-technical individuals to execute data preparation activities, democratizing data access and enhancing organizational agility.

Enhanced Focus on Data Governance and Compliance:

As regulations and data privacy concerns grow, firms are focusing more on data governance and compliance. Data preparation systems are growing to include functionality for data lineage, auditing, and regulatory compliance. This trend guarantees that data management procedures comply with legal standards while also maintaining data integrity and security.

Integration of Cloud Data Platforms:

The use of cloud-based data platforms is growing, with data preparation technologies increasingly intended to integrate smoothly with cloud environments. Cloud integration provides scalability, flexibility, and cost-efficiency, allowing enterprises to handle enormous amounts of data and conduct sophisticated data preparation activities without making substantial infrastructure investments.

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Global Data Prep Market Regional Analysis

Here is a more detailed regional analysis of the global data prep market:

North America:

North America continues to dominate the global data preparation market, owing to its strong technological infrastructure and large investments in data management solutions. The region's high concentration of large technology companies and data-driven businesses creates demand for sophisticated data preparation solutions. For example, in July 2024, IBM acquired Databand.ai, emphasizing North America's expertise in combining sophisticated data observability and preparation solutions to improve data quality and pipeline management. Such strategic moves demonstrate the region's commitment to preserving market dominance through ongoing innovation and investment.

Furthermore, governmental initiatives and funding in North America contribute to the growth of the data preparation market. In March 2024, the US government announced a significant increase in financing for data infrastructure initiatives targeted at enhancing data accessibility and security in both the public and private sectors. This investment reflects the rising emphasis on using data for strategic benefit and encourages the use of advanced data preparation technologies. These features, together with a strong IT environment and supporting policies, help to solidify North America's position as the market leader in data preparation.

Asia Pacific:

The Asia Pacific region is as a result of its rapid technical breakthroughs and developing digital infrastructure, it is quickly emerging as the fastest-growing data preparation industry. The increased adoption of data across numerous businesses in this region is boosting demand for better data preparation technologies. For instance, in August 2024, Alibaba Cloud announced the debut of its expanded data preparation and integration platform, which is geared to meet the expanding needs of Asia-Pacific organizations. This platform intends to streamline data management and analytics operations, demonstrating the region's strong investment in data handling skills.

Additionally, government activities throughout Asia-Pacific contribute to this rise. In January 2024, the Indian government announced a new digital infrastructure program that involves significant investment for data management and analytics projects. This policy seeks to strengthen the country's data ecosystem by promoting technological innovation and the use of advanced data preparation solutions. Such initiatives demonstrate the region's commitment to improving its data capabilities and illustrate why Asia-Pacific is driving the global data preparation market's growth.

Global Data Prep Market: Segmentation Analysis

The Global Data Prep Market is segmented based on Platform, Tools, And Geography.

Data Prep Market, By Platform

• Self-Service Data prep
• Data Integration

Based on Platform, the Global Data Prep Market is segmented into Self-Service Data Prep, Data Integration. Data Integration is the dominant segment, largely due to its comprehensive capabilities in consolidating and harmonizing data from diverse sources. Self-Service Data Preparation is the fastest-growing segment, driven by the increasing need for business users to access and manipulate data independently. This growth is fueled by advancements in user-friendly tools that empower non-technical users to perform data cleaning, transformation, and analysis without deep technical expertise.

Data Prep Market, By Tools

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

Based on Tools, the Global Data Prep Market is segmented into Data Curation, Data Cataloging, Data Quality, Data Ingestion, Data Governance. Data Quality is the dominant segment due to its critical role in ensuring that data is accurate, consistent, and reliable across various applications. Data Cataloging is the fastest-growing segment. This growth is driven by the increasing need for comprehensive metadata management and data discovery capabilities.

Data Prep Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the world

Based on the Geography, the Global Data Prep Market are classified into North America, Europe, Asia Pacific, Rest of the World. North America is the dominant region, owing to its advanced industrial infrastructure and widespread use of precision measurement technologies across industries. The Asia Pacific region is the fastest growing, thanks to rapid industrialization, expanding manufacturing capabilities, and rising investments in technology and infrastructure in emerging economies such as China and India.

Key Players

• The "Global Data Prep Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are
• Alteryx, Informatica, IBM, TIBCO Software), Microsoft Corporation, SAS Institute, Datawatch, Tableau Software, Qlik Technologies, and SAP SE, Talend and Microstrategy.

Our market analysis also entails a section solely dedicated for such major players wherein our analysts provide an insight to the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above-mentioned players globally.

• Data Prep Market Recent Developments
• In July 2024, IBM has announced the acquisition of Databand.ai, a data observability platform. This move intends to improve IBM's data preparation capabilities by integrating Databand's monitoring and data quality technologies, allowing organizations to better manage and optimize their data pipelines.
• In June 2024, Talend has released an updated version of its Data Fabric platform, which aims to improve data integration and governance. This new platform includes improved functionality for real-time data processing, data quality, and compliance, addressing the growing complexity of data management in modern companies.
• In May 2024, Microsoft announced significant enhancements to Azure Synapse Analytics, including advanced data preparation and integration features. The updates focus on simplifying data ingestion, transformation, and analytics, providing a more unified and scalable solution for managing large datasets.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL DATA PREP MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL DATA PREP MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis
• 4.5 Regulatory Framework

5. GLOBAL DATA PREP MARKET, BY PLATFORM

• 5.1 Overview
• 5.2 Data integration
• 5.3 Self-service data prep

6 GLOBAL DATA PREP MARKET, BY TOOLS

• 6.1 Overview
• 6.2 Data quality
• 6.3 Data curation
• 6.4 Data governance
• 6.5 Data cataloging
• 6.6 Data ingestion

7. GLOBAL DATA PREP MARKET, BY GEOGRAPHY

• 7.1 Overview
• 7.2 North America
  • 7.2.1 U.S.
  • 7.2.2 Canada
  • 7.2.3 Mexico
• 7.3 Europe
  • 7.3.1 Germany
  • 7.3.2 U.K.
  • 7.3.3 France
  • 7.3.4 Rest of Europe
• 7.4 Asia Pacific
  • 7.4.1 China
  • 7.4.2 Japan
  • 7.4.3 India
  • 7.4.4 Rest of Asia Pacific
• 7.5 Rest of the World
  • 7.5.1 Latin America
  • 7.5.2 Middle East & Africa

8.GLOBAL DATA PREP MARKET COMPETITIVE LANDSCAPE

• 8.1 Overview
• 8.2 Company Market Share
• 8.3 Vendor Landscape
• 8.4 Key Development Strategies

9. COMPANY PROFILES

• 9.1 Alteryx (US)
  • 9.1.1 Overview
  • 9.1.2 Financial Performance
  • 9.1.3 Product Outlook
  • 9.1.4 Key Developments
• 9.2 Informatica (US)
  • 9.2.1 Overview
  • 9.2.2 Financial Performance
  • 9.2.3 Product Outlook
  • 9.2.4 Key Developments
• 9.3 IBM (US)
  • 9.3.1 Overview
  • 9.3.2 Financial Performance
  • 9.3.3 Product Outlook
  • 9.3.4 Key Developments
• 9.4 TIBCO Software (US)
  • 9.4.1 Overview
  • 9.4.2 Financial Performance
  • 9.4.3 Product Outlook
  • 9.4.4 Key Developments
• 9.5 Microsoft Corporation (US)
  • 9.5.1 Overview
  • 9.5.2 Financial Performance
  • 9.5.3 Product Outlook
  • 9.5.4 Key Developments
• 9.6 SAS Institute (US)
  • 9.6.1 Overview
  • 9.6.2 Financial Performance
  • 9.6.3 Product Outlook
  • 9.6.4 Key Developments
• 9.7 Datawatch (US)
  • 9.7.1 Overview
  • 9.7.2 Financial Performance
  • 9.7.3 Product Outlook
  • 9.7.4 Key Developments
• 9.8 Tableau Software (US)
  • 9.8.1 Overview
  • 9.8.2 Financial Performance
  • 9.8.3 Product Outlook
  • 9.8.4 Key Developments
• 9.9 Qlik Technologies (US)
  • 9.9.1 Overview
  • 9.9.2 Financial Performance
  • 9.9.3 Product Outlook
  • 9.9.4 Key Developments
• 9.10 SAP SE (US)
  • 9.10.1 Overview
  • 9.10.2 Financial Performance
  • 9.10.3 Product Outlook
  • 9.10.4 Key Developments
• 9.11 Talend (US)
  • 9.11.1 Overview
  • 9.11.2 Financial Performance
  • 9.11.3 Product Outlook
  • 9.11.4 Key Developments
• 9.12 Microstrategy (US)
  • 9.12.1 Overview
  • 9.12.2 Financial Performance
  • 9.12.3 Product Outlook
  • 9.12.4 Key Developments

10. Appendix

• 10.1 Related Reports