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全球资料撷取市场研究报告 - 2024 年至 2032 年产业分析、规模、份额、成长、趋势和预测

Global Data Extraction Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

出版日期: 2024年07月01日 | 出版商:

Value Market Research | 英文 222 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录图表

全球资料撷取市场需求预计将从2023年的301149万美元达到2032年近716509万美元的市场规模，2024-2032年研究期间复合年增长率为10.11%。

资料撷取是从各种来源（例如资料库、网站、文件或电子邮件）检索特定资讯或资料的过程。它涉及根据预先定义的标准或参数识别和捕获相关资料点，通常使用自动化工具或软体应用程式。这通常用于金融、医疗保健、行销和研究等行业，用于收集、组织和分析大量资料，以用于决策、报告或分析目的。透过从非结构化或半结构化来源提取结构化资料，组织可以获得有价值的见解、提高营运效率并支援数据驱动的决策流程。

市场动态

各行业资料生成量呈指数级增长，迫切需要高效率的资料提取方法。组织正在利用这些工具筛选大量信息，以获得可行的见解、优化运营并保持竞争优势。此外，人工智慧和机器学习的进步显着增强了资料撷取技术的能力。这些创新使提取过程更加准确和高效，使公司能够以前所未有的速度处理和分析资料。随着企业寻求利用大型资料集的力量来推动策略决策，巨量资料分析的兴起进一步推动了其需求。此外，云端运算服务的日益普及促进了资料提取工具的无缝集成，提供了处理大量资料工作负载所必需的可扩展性和灵活性。公司越来越多地使用这些解决方案来确保遵守资料隐私法律和法规，从而降低风险并避免严厉处罚。

此外，金融、医疗保健和零售等行业的竞争格局需要使用复杂的资料撷取技术来深入了解消费者行为、市场趋势和营运效率。最后，各产业的数位转型趋势强调了这些流程作为现代商业策略基本组成部分的重要性。随着组织继续优先考虑数据驱动的方法，对此类先进解决方案的需求预计将会上升，从而促进行业内的创新和成长。然而，对资料安全性和合规性的担忧可能会阻碍未来几年资料提取市场的成长。

研究报告涵盖波特五力模型、市场吸引力分析和价值链分析。这些工具有助于清晰地了解行业结构并评估全球范围内的竞争吸引力。此外，这些工具还对全球资料撷取市场的每个细分市场进行包容性评估。资料撷取产业的成长和趋势为这项研究提供了整体方法。

市场区隔

资料撷取市场报告的这一部分提供了有关国家和区域层级细分市场的详细资料，从而帮助策略师确定相应产品或服务的目标人口统计数据以及即将到来的机会。

按组件

服务
解决方案

按企业规模

大型企业
小型企业
中型企业

按部署模式

云
本地部署

依资料类型

半结构化
结构化
非结构化

按行业分类

BFSI
资讯科技与电信
零售与电子商务
政府
卫生保健
製造业
其他的

区域分析

本节涵盖区域前景，重点介绍北美、欧洲、亚太地区、拉丁美洲以及中东和非洲资料撷取市场当前和未来的需求。此外，该报告重点关注所有主要地区各个应用领域的需求、估计和预测。

该研究报告还涵盖了市场主要参与者的全面概况以及对全球竞争格局的深入了解。资料撷取市场的主要参与者包括 IBM 公司、Fair Isaac 公司、Altair Engineering Inc.、Alteryx Inc.、Teradata Corporation、SAS Institute Inc.、Oracle Corporation、Matilion Ltd.、Microsoft Corporation。本节包含竞争格局的整体视图，包括各种策略发展，例如关键併购、未来产能、合作伙伴关係、财务概况、合作、新产品开发、新产品发布和其他发展。

如果您有任何客製化要求，请写信给我们。我们的研究团队可以根据您的需求提供客製化报告。

简介 - 市场动态
市场驱动因素
市场限制
机会
产业动态
波特五力分析
市场吸引力分析
- 按组件分類的市场吸引力分析
- 按企业规模分類的市场吸引力分析
- 按部署模式分類的市场吸引力分析
- 按资料类型进行的市场吸引力分析
- 按行业垂直分類的市场吸引力分析
- 市场吸引力分析：按地区

第 4 章：价值链分析

价值链分析
原料分析
- 原料清单
- 原料厂商清单
- 主要原物料价格走势
潜在买家名单
行销管道
- 直效行销
- 间接行销
- 行销通路发展趋势

第 5 章：全球资料撷取市场分析：按组成部分

按组件概述
历史和预测数据
按成分分析
服务
解决方案

第 6 章：全球资料撷取市场分析：依企业规模

按企业规模分類的概览
历史和预测数据
按企业规模分析
大型企业
小型企业
中型企业

第 7 章：全球资料撷取市场分析：按部署模式

依部署模式概述
历史和预测数据
依部署模式分析
云
本地部署

第 8 章：全球资料撷取市场分析：按资料类型

按资料类型概述
历史和预测数据
按资料类型分析
半结构化
结构化
非结构化

第 9 章：全球资料撷取市场分析：按垂直产业

按行业垂直概述
历史和预测数据
按行业垂直分析
BFSI
资讯科技与电信
零售与电子商务
政府
卫生保健
製造业
其他的

第 10 章：全球资料撷取市场分析：依地理位置

区域展望
介绍
北美销售分析
- 概览、历史与预测资料销售分析
- 北美按细分市场销售分析
- 北美按国家销售分析
- 美国销售分析
- 加拿大销售分析
- 墨西哥销售分析
欧洲销售分析
- 概览、历史与预测资料销售分析
- 欧洲按细分市场销售分析
- 欧洲按国家销售分析
- 英国销售分析
- 法国销售分析
- 德国销售分析
- 义大利销售分析
- 俄罗斯销售分析
- 欧洲其他地区销售分析
亚太地区销售分析
- 概览、历史与预测资料销售分析
- 亚太地区按细分市场销售分析
- 亚太地区按国家销售分析
- 中国销售分析
- 印度销售分析
- 日本销售分析
- 韩国销售分析
- 澳洲销售分析
- 东南亚销售分析
- 亚太地区其他地区销售分析
拉丁美洲销售分析
- 概览、历史与预测资料销售分析
- 拉丁美洲按细分市场销售分析
- 拉丁美洲按国家销售分析
- 巴西销售分析
- 阿根廷销售分析
- 秘鲁销售分析
- 智利销售分析
- 拉丁美洲其他地区销售分析
中东和非洲销售分析
- 概览、历史与预测资料销售分析
- 中东和非洲按细分市场销售分析
- 中东和非洲按国家销售分析
- 沙乌地阿拉伯销售分析
- 阿联酋销售分析
- 以色列销售分析
- 南非销售分析
- 中东其他地区和非洲销售分析

第 11 章：资料撷取公司的竞争格局

资料撷取市场竞争
伙伴关係/协作/协议
併购
新产品发布
其他发展

第 12 章：公司简介

顶级公司市占率分析
市场集中度
IBM Corporation

公司概况
公司收入
产品
最新动态

Fair Isaac Corporation

公司概况
公司收入
产品
最新动态

Altair Engineering Inc.

公司概况
公司收入
产品
最新动态

Alteryx Inc.

公司概况
公司收入
产品
最新动态

Teradata Corporation

公司概况
公司收入
产品
最新动态

SAS Institute Inc.

公司概况
公司收入
产品
最新动态

Oracle Corporation

公司概况
公司收入
产品
最新动态

Matillion Ltd.

公司概况
公司收入
产品
最新动态

Microsoft Corporation

公司概况
公司收入
产品
最新动态

註 - 在公司概况中，财务详细资讯和最新发展视情况而定，或对私人公司而言可能不包括在内

简介目录图表

Product Code: VMR11213474

The global demand for Data Extraction Market is presumed to reach the market size of nearly USD 7165.09 Million by 2032 from USD 3011.49 Million in 2023 with a CAGR of 10.11% under the study period 2024-2032.

Data extraction is the process by which specific information or data is retrieved from various sources, such as databases, websites, documents, or emails. It involves identifying and capturing relevant data points according to predefined criteria or parameters, often using automated tools or software applications. This is commonly used in industries such as finance, healthcare, marketing, and research to gather, organize, and analyze large volumes of data for decision-making, reporting, or analysis purposes. By extracting structured data from unstructured or semi-structured sources, organizations can derive valuable insights, improve operational efficiency, and support data-driven decision-making processes.

MARKET DYNAMICS

The exponential increase in data generation across various industries has created a pressing need for efficient data extraction methods. Organizations are leveraging these tools to sift through vast amounts of information to gain actionable insights, optimize operations, and maintain a competitive edge. Additionally, advancements in AI and ML have significantly enhanced the capabilities of data extraction technologies. These innovations enable more accurate and efficient extraction processes, allowing companies to process and analyze data at unprecedented speeds. The rise of big data analytics further propels its demand, as businesses seek to harness the power of large datasets to drive strategic decision-making. Moreover, the growing adoption of cloud computing services facilitates seamless integration of data extraction tools, offering scalability and flexibility that are essential for handling extensive data workloads. Companies are increasingly using these solutions to ensure adherence to data privacy laws and regulations, thereby mitigating risks and avoiding hefty penalties.

Additionally, the competitive landscape in sectors such as finance, healthcare, and retail necessitates the use of sophisticated data extraction techniques to gain insights into consumer behavior, market trends, and operational efficiencies. Lastly, the trend towards digital transformation across various industries underscores the importance of these processes as a fundamental component of modern business strategies. As organizations continue to prioritize data-driven approaches, the demand for advanced such solutions is expected to rise, fostering innovation and growth within the industry. However, concerns about data security and compliance may hinder the growth of the data extraction market in the next few years.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of Data Extraction. The growth and trends of Data Extraction industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the Data Extraction market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

Service
Solution

By Enterprise Size

Large Enterprises
Small Enterprises
Medium Enterprises

By Deployment Mode

Cloud
On-Premise

By Data Type

Semi-Structured
Structured
Unstructured

By Industry Vertical

BFSI
IT & Telecom
Retail & E-Commerce
Government
Healthcare
Manufacturing
Others

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Data Extraction market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Data Extraction market include IBM Corporation, Fair Isaac Corporation, Altair Engineering Inc., Alteryx Inc., Teradata Corporation, SAS Institute Inc., Oracle Corporation, Matillion Ltd., Microsoft Corporation. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. DATA EXTRACTION - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Enterprise Size
- 3.7.3 Market Attractiveness Analysis By Deployment Mode
- 3.7.4 Market Attractiveness Analysis By Data Type
- 3.7.5 Market Attractiveness Analysis By Industry Vertical
- 3.7.6 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL DATA EXTRACTION MARKET ANALYSIS BY COMPONENT

5.1. Overview By Component
5.2. Historical and Forecast Data
5.3. Analysis By Component
5.4. Service Historic and Forecast Sales By Regions
5.5. Solution Historic and Forecast Sales By Regions

6. GLOBAL DATA EXTRACTION MARKET ANALYSIS BY ENTERPRISE SIZE

6.1. Overview By Enterprise Size
6.2. Historical and Forecast Data
6.3. Analysis By Enterprise Size
6.4. Large Enterprises Historic and Forecast Sales By Regions
6.5. Small Enterprises Historic and Forecast Sales By Regions
6.6. Medium Enterprises Historic and Forecast Sales By Regions

7. GLOBAL DATA EXTRACTION MARKET ANALYSIS BY DEPLOYMENT MODE

7.1. Overview By Deployment Mode
7.2. Historical and Forecast Data
7.3. Analysis By Deployment Mode
7.4. Cloud Historic and Forecast Sales By Regions
7.5. On-Premise Historic and Forecast Sales By Regions

8. GLOBAL DATA EXTRACTION MARKET ANALYSIS BY DATA TYPE

8.1. Overview By Data Type
8.2. Historical and Forecast Data
8.3. Analysis By Data Type
8.4. Semi-Structured Historic and Forecast Sales By Regions
8.5. Structured Historic and Forecast Sales By Regions
8.6. Unstructured Historic and Forecast Sales By Regions

9. GLOBAL DATA EXTRACTION MARKET ANALYSIS BY INDUSTRY VERTICAL

9.1. Overview By Industry Vertical
9.2. Historical and Forecast Data
9.3. Analysis By Industry Vertical
9.4. BFSI Historic and Forecast Sales By Regions
9.5. IT & Telecom Historic and Forecast Sales By Regions
9.6. Retail & E-Commerce Historic and Forecast Sales By Regions
9.7. Government Historic and Forecast Sales By Regions
9.8. Healthcare Historic and Forecast Sales By Regions
9.9. Manufacturing Historic and Forecast Sales By Regions
9.10. Others Historic and Forecast Sales By Regions

10. GLOBAL DATA EXTRACTION MARKET ANALYSIS BY GEOGRAPHY

10.1. Regional Outlook
10.2. Introduction
10.3. North America Sales Analysis
- 10.3.1 Overview, Historic and Forecast Data Sales Analysis
- 10.3.2 North America By Segment Sales Analysis
- 10.3.3 North America By Country Sales Analysis
- 10.3.4 United States Sales Analysis
- 10.3.5 Canada Sales Analysis
- 10.3.6 Mexico Sales Analysis
10.4. Europe Sales Analysis
- 10.4.1 Overview, Historic and Forecast Data Sales Analysis
- 10.4.2 Europe By Segment Sales Analysis
- 10.4.3 Europe By Country Sales Analysis
- 10.4.4 United Kingdom Sales Analysis
- 10.4.5 France Sales Analysis
- 10.4.6 Germany Sales Analysis
- 10.4.7 Italy Sales Analysis
- 10.4.8 Russia Sales Analysis
- 10.4.9 Rest Of Europe Sales Analysis
10.5. Asia Pacific Sales Analysis
- 10.5.1 Overview, Historic and Forecast Data Sales Analysis
- 10.5.2 Asia Pacific By Segment Sales Analysis
- 10.5.3 Asia Pacific By Country Sales Analysis
- 10.5.4 China Sales Analysis
- 10.5.5 India Sales Analysis
- 10.5.6 Japan Sales Analysis
- 10.5.7 South Korea Sales Analysis
- 10.5.8 Australia Sales Analysis
- 10.5.9 South East Asia Sales Analysis
- 10.5.10 Rest Of Asia Pacific Sales Analysis
10.6. Latin America Sales Analysis
- 10.6.1 Overview, Historic and Forecast Data Sales Analysis
- 10.6.2 Latin America By Segment Sales Analysis
- 10.6.3 Latin America By Country Sales Analysis
- 10.6.4 Brazil Sales Analysis
- 10.6.5 Argentina Sales Analysis
- 10.6.6 Peru Sales Analysis
- 10.6.7 Chile Sales Analysis
- 10.6.8 Rest of Latin America Sales Analysis
10.7. Middle East & Africa Sales Analysis
- 10.7.1 Overview, Historic and Forecast Data Sales Analysis
- 10.7.2 Middle East & Africa By Segment Sales Analysis
- 10.7.3 Middle East & Africa By Country Sales Analysis
- 10.7.4 Saudi Arabia Sales Analysis
- 10.7.5 UAE Sales Analysis
- 10.7.6 Israel Sales Analysis
- 10.7.7 South Africa Sales Analysis
- 10.7.8 Rest Of Middle East And Africa Sales Analysis

11. COMPETITIVE LANDSCAPE OF THE DATA EXTRACTION COMPANIES

11.1. Data Extraction Market Competition
11.2. Partnership/Collaboration/Agreement
11.3. Merger And Acquisitions
11.4. New Product Launch
11.5. Other Developments

12. COMPANY PROFILES OF DATA EXTRACTION INDUSTRY

12.1. Top Companies Market Share Analysis
12.2. Market Concentration Rate
12.3. IBM Corporation
- 12.3.1 Company Overview
- 12.3.2 Company Revenue
- 12.3.3 Products
- 12.3.4 Recent Developments
12.4. Fair Isaac Corporation
- 12.4.1 Company Overview
- 12.4.2 Company Revenue
- 12.4.3 Products
- 12.4.4 Recent Developments
12.5. Altair Engineering Inc.
- 12.5.1 Company Overview
- 12.5.2 Company Revenue
- 12.5.3 Products
- 12.5.4 Recent Developments
12.6. Alteryx Inc.
- 12.6.1 Company Overview
- 12.6.2 Company Revenue
- 12.6.3 Products
- 12.6.4 Recent Developments
12.7. Teradata Corporation
- 12.7.1 Company Overview
- 12.7.2 Company Revenue
- 12.7.3 Products
- 12.7.4 Recent Developments
12.8. SAS Institute Inc.
- 12.8.1 Company Overview
- 12.8.2 Company Revenue
- 12.8.3 Products
- 12.8.4 Recent Developments
12.9. Oracle Corporation
- 12.9.1 Company Overview
- 12.9.2 Company Revenue
- 12.9.3 Products
- 12.9.4 Recent Developments
12.10. Matillion Ltd.
- 12.10.1 Company Overview
- 12.10.2 Company Revenue
- 12.10.3 Products
- 12.10.4 Recent Developments
12.11. Microsoft Corporation
- 12.11.1 Company Overview
- 12.11.2 Company Revenue
- 12.11.3 Products
- 12.11.4 Recent Developments