91制片厂

Published on Market Research Reports庐 Inc. ()

Home > Global AI-Powered Data Scraping Tools Market Growth (Status and Outlook) 2025-2031

Global AI-Powered Data Scraping Tools Market Growth (Status and Outlook) 2025-2031

Publication ID: 
LPI02258114
Publication Date: 
February 19, 2025
Pages: 
100
Publisher: 
LPI
Countries: 
Global [1]
USD 3,660.00

Please choose the suitable license type from above. More details are given under tab "Report License Types" below.

IT Services [2]
Software [3]
Computing & Electronics [4]
Description: 

The global AI-Powered Data Scraping Tools market size is predicted to grow from US$ 327 million in 2025 to US$ 757 million in 2031; it is expected to grow at a CAGR of 15.0% from 2025 to 2031.
AI-powered data scraping tools are tools that use artificial intelligence technologies (such as machine learning, natural language processing, etc.) to automatically extract data from web pages, databases, or other data sources. These tools can efficiently collect, organize, and analyze large amounts of data by simulating the browsing and operation behaviors of human users, thereby helping users quickly obtain the information they need.
United States market for AI-Powered Data Scraping Tools is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for AI-Powered Data Scraping Tools is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for AI-Powered Data Scraping Tools is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key AI-Powered Data Scraping Tools players cover Browse AI, ScraperAPI, Octoparse, ScrapeStorm, Bardeen, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
The 鈥淎I-Powered Data Scraping Tools Industry Forecast鈥� looks at past sales and reviews total world AI-Powered Data Scraping Tools sales in 2024, providing a comprehensive analysis by region and market sector of projected AI-Powered Data Scraping Tools sales for 2025 through 2031. With AI-Powered Data Scraping Tools sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-Powered Data Scraping Tools industry.
This Insight Report provides a comprehensive analysis of the global AI-Powered Data Scraping Tools landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI-Powered Data Scraping Tools portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global AI-Powered Data Scraping Tools market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-Powered Data Scraping Tools and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI-Powered Data Scraping Tools.
This report presents a comprehensive overview, market shares, and growth opportunities of AI-Powered Data Scraping Tools market by product type, application, key players and key regions and countries.
Segmentation by Type:
Static
Dynamic
Segmentation by Application:
Market Research
Financial Analysis
E-commerce Data Analysis
Other
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Browse AI
ScraperAPI
Octoparse
ScrapeStorm
Bardeen
WebHarvy
Diffbot
Import.io
ParseHub
Kadoa

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents: 

1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global AI-Powered Data Scraping Tools Market Size (2020-2031)
2.1.2 AI-Powered Data Scraping Tools Market Size CAGR by Region (2020 VS 2024 VS 2031)
2.1.3 World Current & Future Analysis for AI-Powered Data Scraping Tools by Country/Region (2020, 2024 & 2031)
2.2 AI-Powered Data Scraping Tools Segment by Type
2.2.1 Static
2.2.2 Dynamic
2.3 AI-Powered Data Scraping Tools Market Size by Type
2.3.1 AI-Powered Data Scraping Tools Market Size CAGR by Type (2020 VS 2024 VS 2031)
2.3.2 Global AI-Powered Data Scraping Tools Market Size Market Share by Type (2020-2025)
2.4 AI-Powered Data Scraping Tools Segment by Application
2.4.1 Market Research
2.4.2 Financial Analysis
2.4.3 E-commerce Data Analysis
2.4.4 Other
2.5 AI-Powered Data Scraping Tools Market Size by Application
2.5.1 AI-Powered Data Scraping Tools Market Size CAGR by Application (2020 VS 2024 VS 2031)
2.5.2 Global AI-Powered Data Scraping Tools Market Size Market Share by Application (2020-2025)
3 AI-Powered Data Scraping Tools Market Size by Player
3.1 AI-Powered Data Scraping Tools Market Size Market Share by Player
3.1.1 Global AI-Powered Data Scraping Tools Revenue by Player (2020-2025)
3.1.2 Global AI-Powered Data Scraping Tools Revenue Market Share by Player (2020-2025)
3.2 Global AI-Powered Data Scraping Tools Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2023-2025)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 AI-Powered Data Scraping Tools by Region
4.1 AI-Powered Data Scraping Tools Market Size by Region (2020-2025)
4.2 Global AI-Powered Data Scraping Tools Annual Revenue by Country/Region (2020-2025)
4.3 Americas AI-Powered Data Scraping Tools Market Size Growth (2020-2025)
4.4 APAC AI-Powered Data Scraping Tools Market Size Growth (2020-2025)
4.5 Europe AI-Powered Data Scraping Tools Market Size Growth (2020-2025)
4.6 Middle East & Africa AI-Powered Data Scraping Tools Market Size Growth (2020-2025)
5 Americas
5.1 Americas AI-Powered Data Scraping Tools Market Size by Country (2020-2025)
5.2 Americas AI-Powered Data Scraping Tools Market Size by Type (2020-2025)
5.3 Americas AI-Powered Data Scraping Tools Market Size by Application (2020-2025)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC AI-Powered Data Scraping Tools Market Size by Region (2020-2025)
6.2 APAC AI-Powered Data Scraping Tools Market Size by Type (2020-2025)
6.3 APAC AI-Powered Data Scraping Tools Market Size by Application (2020-2025)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe AI-Powered Data Scraping Tools Market Size by Country (2020-2025)
7.2 Europe AI-Powered Data Scraping Tools Market Size by Type (2020-2025)
7.3 Europe AI-Powered Data Scraping Tools Market Size by Application (2020-2025)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa AI-Powered Data Scraping Tools by Region (2020-2025)
8.2 Middle East & Africa AI-Powered Data Scraping Tools Market Size by Type (2020-2025)
8.3 Middle East & Africa AI-Powered Data Scraping Tools Market Size by Application (2020-2025)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global AI-Powered Data Scraping Tools Market Forecast
10.1 Global AI-Powered Data Scraping Tools Forecast by Region (2026-2031)
10.1.1 Global AI-Powered Data Scraping Tools Forecast by Region (2026-2031)
10.1.2 Americas AI-Powered Data Scraping Tools Forecast
10.1.3 APAC AI-Powered Data Scraping Tools Forecast
10.1.4 Europe AI-Powered Data Scraping Tools Forecast
10.1.5 Middle East & Africa AI-Powered Data Scraping Tools Forecast
10.2 Americas AI-Powered Data Scraping Tools Forecast by Country (2026-2031)
10.2.1 United States Market AI-Powered Data Scraping Tools Forecast
10.2.2 Canada Market AI-Powered Data Scraping Tools Forecast
10.2.3 Mexico Market AI-Powered Data Scraping Tools Forecast
10.2.4 Brazil Market AI-Powered Data Scraping Tools Forecast
10.3 APAC AI-Powered Data Scraping Tools Forecast by Region (2026-2031)
10.3.1 China AI-Powered Data Scraping Tools Market Forecast
10.3.2 Japan Market AI-Powered Data Scraping Tools Forecast
10.3.3 Korea Market AI-Powered Data Scraping Tools Forecast
10.3.4 Southeast Asia Market AI-Powered Data Scraping Tools Forecast
10.3.5 India Market AI-Powered Data Scraping Tools Forecast
10.3.6 Australia Market AI-Powered Data Scraping Tools Forecast
10.4 Europe AI-Powered Data Scraping Tools Forecast by Country (2026-2031)
10.4.1 Germany Market AI-Powered Data Scraping Tools Forecast
10.4.2 France Market AI-Powered Data Scraping Tools Forecast
10.4.3 UK Market AI-Powered Data Scraping Tools Forecast
10.4.4 Italy Market AI-Powered Data Scraping Tools Forecast
10.4.5 Russia Market AI-Powered Data Scraping Tools Forecast
10.5 Middle East & Africa AI-Powered Data Scraping Tools Forecast by Region (2026-2031)
10.5.1 Egypt Market AI-Powered Data Scraping Tools Forecast
10.5.2 South Africa Market AI-Powered Data Scraping Tools Forecast
10.5.3 Israel Market AI-Powered Data Scraping Tools Forecast
10.5.4 Turkey Market AI-Powered Data Scraping Tools Forecast
10.6 Global AI-Powered Data Scraping Tools Forecast by Type (2026-2031)
10.7 Global AI-Powered Data Scraping Tools Forecast by Application (2026-2031)
10.7.1 GCC Countries Market AI-Powered Data Scraping Tools Forecast
11 Key Players Analysis
11.1 Browse AI
11.1.1 Browse AI Company Information
11.1.2 Browse AI AI-Powered Data Scraping Tools Product Offered
11.1.3 Browse AI AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
11.1.4 Browse AI Main Business Overview
11.1.5 Browse AI Latest Developments
11.2 ScraperAPI
11.2.1 ScraperAPI Company Information
11.2.2 ScraperAPI AI-Powered Data Scraping Tools Product Offered
11.2.3 ScraperAPI AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
11.2.4 ScraperAPI Main Business Overview
11.2.5 ScraperAPI Latest Developments
11.3 Octoparse
11.3.1 Octoparse Company Information
11.3.2 Octoparse AI-Powered Data Scraping Tools Product Offered
11.3.3 Octoparse AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
11.3.4 Octoparse Main Business Overview
11.3.5 Octoparse Latest Developments
11.4 ScrapeStorm
11.4.1 ScrapeStorm Company Information
11.4.2 ScrapeStorm AI-Powered Data Scraping Tools Product Offered
11.4.3 ScrapeStorm AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
11.4.4 ScrapeStorm Main Business Overview
11.4.5 ScrapeStorm Latest Developments
11.5 Bardeen
11.5.1 Bardeen Company Information
11.5.2 Bardeen AI-Powered Data Scraping Tools Product Offered
11.5.3 Bardeen AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
11.5.4 Bardeen Main Business Overview
11.5.5 Bardeen Latest Developments
11.6 WebHarvy
11.6.1 WebHarvy Company Information
11.6.2 WebHarvy AI-Powered Data Scraping Tools Product Offered
11.6.3 WebHarvy AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
11.6.4 WebHarvy Main Business Overview
11.6.5 WebHarvy Latest Developments
11.7 Diffbot
11.7.1 Diffbot Company Information
11.7.2 Diffbot AI-Powered Data Scraping Tools Product Offered
11.7.3 Diffbot AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
11.7.4 Diffbot Main Business Overview
11.7.5 Diffbot Latest Developments
11.8 Import.io
11.8.1 Import.io Company Information
11.8.2 Import.io AI-Powered Data Scraping Tools Product Offered
11.8.3 Import.io AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
11.8.4 Import.io Main Business Overview
11.8.5 Import.io Latest Developments
11.9 ParseHub
11.9.1 ParseHub Company Information
11.9.2 ParseHub AI-Powered Data Scraping Tools Product Offered
11.9.3 ParseHub AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
11.9.4 ParseHub Main Business Overview
11.9.5 ParseHub Latest Developments
11.10 Kadoa
11.10.1 Kadoa Company Information
11.10.2 Kadoa AI-Powered Data Scraping Tools Product Offered
11.10.3 Kadoa AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
11.10.4 Kadoa Main Business Overview
11.10.5 Kadoa Latest Developments
12 Research Findings and Conclusion

License Types: 

Single User License (PDF)

  • This license allows for use of a publication by one person.
  • This person may print out a single copy of the publication.
  • This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
  • This person cannot share the publication (or any information contained therein) with any other person or persons.
  • Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
  • Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

  • This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
  • These users may print out a single copy of the publication.
  • These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
  • These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
  • Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
  • Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

  • This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
  • Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
  • These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.

Source URL:/lpi/global-ai-powered-data-scraping-tools-market-growth-status-and-outlook-2025-2031

Links
[1] /countries/global[2] /it-services[3] /software[4] /computing-electronics