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1547764

全球資料擷取市場研究報告 - 2024 年至 2032 年產業分析、規模、佔有率、成長、趨勢和預測

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個工作天內

價格

簡介目錄圖表

全球資料擷取市場需求預計將從2023年的301149萬美元達到2032年近716509萬美元的市場規模，2024-2032年研究期間複合年成長率為10.11%。

資料擷取是從各種來源（例如資料庫、網站、文件或電子郵件）檢索特定資訊或資料的過程。它涉及根據預先定義的標準或參數識別和捕獲相關資料點，通常使用自動化工具或軟體應用程式。這通常用於金融、醫療保健、行銷和研究等行業，用於收集、組織和分析大量資料，以用於決策、報告或分析目的。透過從非結構化或半結構化來源提取結構化資料，組織可以獲得有價值的見解、提高營運效率並支援數據驅動的決策流程。

市場動態

各行業資料生成量呈指數級成長，迫切需要高效率的資料提取方法。組織正在利用這些工具篩選大量資訊，以獲得可行的見解、最佳化營運並保持競爭優勢。此外，人工智慧和機器學習的進步顯著增強了資料擷取技術的能力。這些創新使提取過程更加準確和高效，使公司能夠以前所未有的速度處理和分析資料。隨著企業尋求利用大型資料集的力量來推動策略決策，巨量資料分析的興起進一步推動了其需求。此外，雲端運算服務的日益普及促進了資料提取工具的無縫整合，提供了處理大量資料工作負載所必需的可擴展性和靈活性。公司擴大使用這些解決方案來確保遵守資料隱私法律和法規，從而降低風險並避免嚴厲處罰。

此外，金融、醫療保健和零售等行業的競爭格局需要使用複雜的資料擷取技術來深入了解消費者行為、市場趨勢和營運效率。最後，各產業的數位轉型趨勢強調了這些流程作為現代商業策略基本組成部分的重要性。隨著組織繼續優先考慮數據驅動的方法，對此類先進解決方案的需求預計將會上升，從而促進行業內的創新和成長。然而，對資料安全性和合規性的擔憂可能會阻礙未來幾年資料提取市場的成長。

研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外，這些工具還對全球資料擷取市場的每個細分市場進行包容性評估。資料擷取產業的成長和趨勢為這項研究提供了整體方法。

市場區隔

資料擷取市場報告的這一部分提供了有關國家和區域層級細分市場的詳細資料，從而幫助策略師確定相應產品或服務的目標人口統計數據以及即將到來的機會。

按組件

服務
解決方案

按企業規模

大型企業
小型企業
中型企業

按部署模式

雲
本地部署

依資料類型

半結構化
結構化
非結構化

按行業分類

BFSI
資訊科技與電信
零售與電子商務
政府
衛生保健
製造業
其他

區域分析

本節涵蓋區域前景，重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲資料擷取市場當前和未來的需求。此外，該報告重點關注所有主要地區各個應用領域的需求、估計和預測。

該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。資料擷取市場的主要參與者包括 IBM 公司、Fair Isaac 公司、Altair Engineering Inc.、Alteryx Inc.、Teradata Corporation、SAS Institute Inc.、Oracle Corporation、Matilion Ltd.、Microsoft Corporation。本節包含競爭格局的整體視圖，包括各種策略發展，例如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。

如果您有任何客製化要求，請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。

簡介 - 市場動態
市場促進因素
市場限制
機會
產業動態
波特五力分析
市場吸引力分析
- 按組件分類的市場吸引力分析
- 按企業規模分類的市場吸引力分析
- 按部署模式分類的市場吸引力分析
- 按資料類型進行的市場吸引力分析
- 按行業垂直分類的市場吸引力分析
- 市場吸引力分析：按地區

第 4 章：價值鏈分析

價值鏈分析
原料分析
- 原料清單
- 原料廠商清單
- 主要原物料價格走勢
潛在買家名單
行銷管道
- 直效行銷
- 間接行銷
- 行銷通路發展趨勢

第 5 章：全球資料擷取市場分析：按組成部分

按組件概述
歷史和預測數據
按成分分析
服務
解決方案

第 6 章：全球資料擷取市場分析：依企業規模

按企業規模分類的概覽
歷史和預測數據
按企業規模分析
大型企業
小型企業
中型企業

第 7 章：全球資料擷取市場分析：按部署模式

依部署模式概述
歷史和預測數據
依部署模式分析
雲
本地部署

第 8 章：全球資料擷取市場分析：按資料類型

按資料類型概述
歷史和預測數據
按資料類型分析
半結構化
結構化
非結構化

第 9 章：全球資料擷取市場分析：按垂直產業

按行業垂直概述
歷史和預測數據
按行業垂直分析
BFSI
資訊科技與電信
零售與電子商務
政府
衛生保健
製造業
其他

第 10 章：全球資料擷取市場分析：依地理位置

區域展望
介紹
北美銷售分析
- 概覽、歷史與預測資料銷售分析
- 北美按細分市場銷售分析
- 北美按國家銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 歐洲按細分市場銷售分析
- 歐洲按國家銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概覽、歷史與預測資料銷售分析
- 亞太地區按細分市場銷售分析
- 亞太地區按國家銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 拉丁美洲按細分市場銷售分析
- 拉丁美洲按國家銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 中東和非洲按細分市場銷售分析
- 中東和非洲按國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東其他地區和非洲銷售分析

第 11 章：資料擷取公司的競爭格局

資料擷取市場競爭
夥伴關係/協作/協議
併購
新產品發布
其他發展

第 12 章：公司簡介

頂級公司市佔率分析
市場集中度
IBM Corporation

公司概況
公司收入
產品
最新動態

Fair Isaac Corporation

公司概況
公司收入
產品
最新動態

Altair Engineering Inc.

公司概況
公司收入
產品
最新動態

Alteryx Inc.

公司概況
公司收入
產品
最新動態

Teradata Corporation

公司概況
公司收入
產品
最新動態

SAS Institute Inc.

公司概況
公司收入
產品
最新動態

Oracle Corporation

公司概況
公司收入
產品
最新動態

Matillion Ltd.

公司概況
公司收入
產品
最新動態

Microsoft Corporation

公司概況
公司收入
產品
最新動態

註 - 在公司概況中，財務詳細資訊和最新發展視情況而定，或對私人公司而言可能不包括在內

簡介目錄圖表

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