全球資料準備市場：按平台、工具、地區、範圍和預測

資料準備（資料準備）市場規模與預測

資料準備（資料準備）市場規模預計將在 2024 年達到 40.2 億美元，到 2031 年達到 161.2 億美元，2024 年至 2031 年複合年增長率為 19%。資料準備（資料準備）是清理、轉換和組織資訊以進行分析和決策的過程。需要在數據分析、商業智慧和機器學習等領域提供準確、高效的見解。隨著資料量和複雜性的增加，資料準備將更依賴自動化和人工智慧來提高效率和可擴展性。

全球資料準備（資料準備）市場動態

主要市場推動因素

對數據驅動洞察的需求不斷增長：

隨著公司越來越依賴數據來制定策略決策，對有效數據準備工具的需求也不斷增加。對可靠且可操作資訊的需求不斷增長，正在推動對數據管理系統的投資。例如，2024 年 7 月，Gartner 報告稱，72% 的公司認為數據驅動的決策對其成長策略至關重要，這表明市場正在不斷成長。

自動化和人工智慧技術的進步：

將人工智慧和自動化融入數據準備中可以提高效率和準確性，推動市場擴張。人工智慧驅動的技術可自動執行複雜的資料操作，並最大限度地減少體力勞動和錯誤。2024 年 4 月，IBM 為其 Data Prep（資料準備）平台配備了增強的 AI 功能，強調向簡化資料管理程序的自動化解決方案過渡。

政府措施和資金：

專注於加強數位基礎設施和數據管理的政府政策和資金正在推動數據準備業務的成長。例如，2024 年 2 月，歐盟 (EU) 宣佈對資料基礎設施計畫投資 5 億歐元，其中包括為 dataprep（資料準備）技術提供資金。此類計劃有助於增加創新工具和技術在各個領域的使用。

基於雲端的解決方案的成長：

由於其可擴展性和靈活性，向雲端運算的轉變正在創造對基於雲端的資料準備解決方案的需求。企業正在將資料管理轉移到雲端以獲得好處。2024 年 6 月，AWS 宣佈了其雲端資料準備（資料準備）服務的新功能，反映了結合資料工具和雲端平台來高效管理大量資料的日益增長的趨勢。

主要課題

數據品質和一致性：

隨著資料來源和格式變得更加多樣化，確保資料品質和一致性是一項關鍵課題。不準確或不充分的數據可能會導致錯誤的見解和決策，並且需要嚴格的驗證和清理程序。

數據整合：

資料整合既複雜又耗時。不同的資料格式和來源阻礙了一致觀點的形成，並且需要複雜的工具和方法來進行有效整合。

可擴充性和效能問題：

隨著資料量的增加，保持效能和可擴展性變得困難。大規模資料準備需要大量運算資源和最佳化技術，以確保快速可靠的結果。

資料隱私和合規性：

遵守資料隱私標準變得越來越困難。為了保護敏感資訊並遵守不斷擴大的法律要求，組織必須制定強有力的資料治理策略。

主要趨勢

自動化和人工智慧整合的進步：

人工智慧 (AI) 和機器學習 (ML) 在資料準備工具中的使用正在迅速擴大。自動化功能透過減少手動工作並提高準確性來改善資料淨化、轉換和整合流程。人工智慧驅動的解決方案透過發現異常、建議資料轉換和自動化操作，使資料準備更加高效、無錯誤。

增加自助資料準備：

自助資料準備越來越受歡迎，它允許業務使用者在不涉及 IT 人員的情況下存取和修改資料。這一趨勢是由對更快的洞察和決策的渴望所推動的。使用者友善的介面和直覺的技術使非技術人員能夠執行資料準備任務，實現資料存取民主化並提高組織敏捷性。

更重視資料治理和合規性：

隨著對監管和資料隱私的擔憂增加，公司越來越關注資料治理和合規性。資料準備系統越來越多地整合解決資料沿襲、稽核和法規遵循的功能。這種趨勢確保資料管理程序符合法律標準，同時保持資料完整性和安全性。

雲端資料平台整合：

基於雲端的資料平台的使用正在擴大，越來越多的資料準備（data Preparation）技術旨在與雲端環境無縫整合。雲端整合提供了可擴展性、靈活性和成本效率，使企業無需進行大量基礎設施投資即可處理大量資料並執行高級資料準備任務。

目錄

第1章 全球data prep（資料準備）市場簡介

• 市場概況
• 調查範圍
• 先決條件

第 2 章執行摘要

第3章 驗證市場研究研究方法

• 數據挖掘
• 驗證
• 一次資料
• 數據源列表

第4章 全球資料準備（資料準備）市場展望

• 概述
• 市場動態
  • 促進因素
  • 阻礙因素
  • 機會
• 波特的五力模型
• 價值鏈分析
• 監管框架

第5章全球資料準備市場：依平台

• 概述
• 數據整合
• 自助資料準備

第6章全球資料準備市場：按工具

• 概述
• 數據品質
• 資料管理
• 數據治理
• 數據目錄
• 攝取數據

第7章全球資料準備市場：按地區

• 概述
• 北美
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 歐洲其他地區
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 亞太其他地區
• 世界其他地區
  • 拉丁美洲
  • 中東/非洲

第8章全球資料準備市場：競爭格局

• 概述
• 各公司市佔率
• 供應商情況
• 主要發展策略

第9章 公司簡介

• 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章附錄

• 相關報導

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