资料角力市场规模、份额及成长分析（按组件、部署模型、垂直产业、组织规模、业务功能和地区）－2025 年至 2032 年产业预测

预计资料角力市场规模将在 2023 年达到 38 亿美元，并从 2024 年的 43.2 亿美元成长到 2032 年的 121.6 亿美元，预测期内（2025-2032 年）的复合年增长率为 13.8%。

截至 2023 年 10 月，资料遗失事件减少、BYOD 趋势和工作场所移动性的推动，资料角力产业有望显着成长。然而，机器学习和人工智慧（AI）的进步也带来了资料快速成长和复杂性的挑战。 IT 领导者面临着资料相关性和工具的有效使用等关键的营运挑战。成功利用人工智慧需要强大的资料管理，以确保资讯有意义且内容丰富。组织必须建立强大的资料关係并利用能够全面了解其 IT 架构的解决方案来简化分析。随着人工智慧承担起越来越重要的决策角色，专注于有效的资料管理对于实现业务目标和享受人工智慧带来的好处至关重要。

目录

介绍

• 调查目的
• 研究范围
• 定义

调查方法

• 资讯采购
• 二次资料和一次资料方法
• 市场规模预测
• 市场假设与限制

执行摘要

• 全球市场展望
• 供需趋势分析
• 细分机会分析

市场动态与展望

• 市场概览
• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制与挑战
• 波特的分析

关键市场考察

• 关键成功因素
• 竞争程度
• 主要投资机会
• 市场生态系统
• 市场吸引力指数（2024年）
• PESTEL分析
• 总体经济指标
• 价值链分析
• 定价分析

资料角力市场规模（依组件划分）及复合年增长率（2025-2032）

• 市场概览
• 工具
  • Tabula
  • CSVKit
  • 其他的
• 服务
  • 託管服务
  • 专业服务
  • 咨询服务
  • 支援和维护服务

资料角力市场规模（依部署模式和复合年增长率） (2025-2032)

• 市场概览
• 本地
• 云

资料角力市场规模（依产业垂直划分）及复合年增长率（2025-2032）

• 市场概览
• 银行金融服务保险
• 政府和公共部门
• 医疗保健和生命科学
• 零售与电子商务
• 旅游与饭店
• 通讯和 IT
• 能源与公共产业
• 其他的

资料角力市场规模（按组织规模和复合年增长率） (2025-2032)

• 市场概览
• 中小型企业
• 大型企业

资料角力市场规模（依业务功能划分）及复合年增长率（2025-2032）

• 市场概览
• 行销和销售
• 金融
• 手术
• 人力资源
• 法律

资料角力市场规模（按地区）及复合年增长率（2025-2032）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲国家
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲
• 中东和非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东和非洲地区

竞争资讯

• 前五大公司对比
• 主要企业市场定位（2024年）
• 主要市场参与者所采取的策略
• 近期市场趋势
• 公司市场占有率分析（2024年）
• 主要企业简介
  • 公司详情
  • 产品系列分析
  • 公司分部份额分析
  • 收益与前一年同期比较对比（2022-2024 年）

主要企业简介

• IBM Corporation（USA）
• Oracle Corporation（USA）
• SAP SE（Germany）
• Microsoft Corporation（USA）
• SAS Institute Inc.（USA）
• Datawatch Corporation（USA）
• Cambridge Semantics（USA）
• Tamr, Inc.（USA）
• Experian Ltd.（Ireland）
• Precisely（USA）
• Syncsort（USA）
• DataRobot, Inc.（USA）
• Ataccama Corporation（Canada）

结论和建议

Data Wrangling Market size was valued at USD 3.8 billion in 2023 and is poised to grow from USD 4.32 billion in 2024 to USD 12.16 billion by 2032, growing at a CAGR of 13.8% during the forecast period (2025-2032).

As of October 2023, the data wrangling industry is poised for significant growth driven by the decline in data loss incidents, BYOD trends, and workplace mobility. However, challenges arise from the rapid growth and complexity of data alongside advancements in machine learning and artificial intelligence (AI). IT leaders face crucial operations issues such as data relevance and the effective use of tools. Successfully harnessing AI necessitates robust data management that ensures information is meaningful and context-rich. Organizations must foster strong data relationships and leverage solutions that provide comprehensive visibility into IT architecture to streamline analytics. As AI takes on more critical decision-making roles, focusing on effective data management will be integral to achieving corporate objectives while reaping AI benefits.

Top-down and bottom-up approaches were used to estimate and validate the size of the Data Wrangling market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Data Wrangling Market Segments Analysis

Global Data Wrangling Market is segmented by Component, Deployment Model, Industry, Organization Size, Business Function and region. Based on Component, the market is segmented into Tools and Services. Based on Deployment Model, the market is segmented into On-Premises and Cloud. Based on Industry, the market is segmented into Banking, Financial Services, and Insurance, Government & Public Sector, Healthcare & Life Sciences, Retail & Ecommerce, Travel & Hospitality, Telecom & IT, Energy & Utilities and Others. Based on Organization Size, the market is segmented into Small and Medium-Sized Enterprises and Large Enterprises. Based on Business Function, the market is segmented into Marketing and Sales, Finance, Operations, HR and Legal. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Data Wrangling Market

The Data Wrangling market is driven by the increasing complexity of managing vast amounts of unstructured data sourced from diverse origins. This complexity necessitates advanced data wrangling tools that streamline the transformation and organization of data, enabling businesses to derive valuable insights. As organizations face the challenge of efficiently handling intricate datasets, the demand for robust data wrangling solutions continues to rise. This heightened need reflects the broader trend in data management, where effective wrangling processes are essential for optimizing operational efficiency and informed decision-making. Consequently, the market for data wrangling tools is experiencing significant growth as enterprises seek to harness the power of their data.

Restraints in the Data Wrangling Market

The Data Wrangling market faces several constraints, primarily stemming from the challenges organizations encounter when managing substantial volumes of sensitive information. Ensuring compliance with stringent data privacy regulations, such as the General Data Protection Regulation (GDPR), poses a significant hurdle. Companies may hesitate to adopt data wrangling solutions due to these compliance concerns, as they prioritize safeguarding data security. The need to maintain privacy while effectively processing and transforming extensive datasets can create additional obstacles, ultimately stifling the growth of data wrangling services. As a result, organizations must navigate these complexities to implement effective data management practices while adhering to legal requirements.

Market Trends of the Data Wrangling Market

As of October 2023, the data wrangling market is experiencing a notable trend characterized by the increasing integration of AI and machine learning technologies. These advancements facilitate the automation of data cleaning, transformation, and analysis, markedly enhancing the accuracy and efficiency of data processes. Consequently, organizations can derive actionable insights rapidly, which in turn empowers informed decision-making across diverse sectors. This technological convergence not only streamlines workflows but also fosters innovation, prompting a surge in demand for intuitive, AI-driven data wrangling solutions. As businesses aim to leverage big data for strategic advantage, the market is poised for substantial growth and transformation.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Drivers & Opportunities
  • Restraints & Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2024
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis

Global Data Wrangling Market Size by Component & CAGR (2025-2032)

• Market Overview
• Tools
  • Tabula
  • CSVKit
  • Others
• Services
  • Managed Services
  • Professional Services
  • Consulting Services
  • Support & Maintenance Services

Global Data Wrangling Market Size by Deployment Model & CAGR (2025-2032)

• Market Overview
• On-Premises
• Cloud

Global Data Wrangling Market Size by Industry & CAGR (2025-2032)

• Market Overview
• Banking, Financial Services, and Insurance
• Government & Public Sector
• Healthcare & Life Sciences
• Retail & Ecommerce
• Travel & Hospitality
• Telecom & IT
• Energy & Utilities
• Others

Global Data Wrangling Market Size by Organization Size & CAGR (2025-2032)

• Market Overview
• Small and Medium-Sized Enterprises
• Large Enterprises

Global Data Wrangling Market Size by Business Function & CAGR (2025-2032)

• Market Overview
• Marketing and Sales
• Finance
• Operations
• HR
• Legal

Global Data Wrangling Market Size & CAGR (2025-2032)

• North America (Component, Deployment Model, Industry, Organization Size, Business Function)
  • US
  • Canada
• Europe (Component, Deployment Model, Industry, Organization Size, Business Function)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Component, Deployment Model, Industry, Organization Size, Business Function)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Component, Deployment Model, Industry, Organization Size, Business Function)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Component, Deployment Model, Industry, Organization Size, Business Function)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2024
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2024
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

• IBM Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Oracle Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAP SE (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAS Institute Inc. (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Datawatch Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cambridge Semantics (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Tamr, Inc. (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Experian Ltd. (Ireland)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Precisely (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Syncsort (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• DataRobot, Inc. (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Ataccama Corporation (Canada)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations