Global AI-Powered Data Scraping Tools Market Research Report 2025

Publication ID:

PB501259253

Publication Date:

January 8, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI-Powered Data Scraping Tools was valued at US$ 295 million in the year 2024 and is projected to reach a revised size of US$ 753 million by 2031, growing at a CAGR of 14.5% during the forecast period.
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.
North American market for AI-Powered Data Scraping Tools is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for AI-Powered Data Scraping Tools is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for AI-Powered Data Scraping Tools in Market Research is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of AI-Powered Data Scraping Tools include Browse AI, ScraperAPI, Octoparse, ScrapeStorm, Bardeen, WebHarvy, Diffbot, Import.io, ParseHub, Kadoa, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI-Powered Data Scraping Tools, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI-Powered Data Scraping Tools.
The AI-Powered Data Scraping Tools market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global AI-Powered Data Scraping Tools market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI-Powered Data Scraping Tools companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Browse AI
ScraperAPI
Octoparse
ScrapeStorm
Bardeen
WebHarvy
Diffbot
Import.io
ParseHub
Kadoa
Segment by Type
Static
Dynamic
Segment by Application
Market Research
Financial Analysis
E-commerce Data Analysis
Other
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI-Powered Data Scraping Tools company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI-Powered Data Scraping Tools Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Static
1.2.3 Dynamic
1.3 Market by Application
1.3.1 Global AI-Powered Data Scraping Tools Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Market Research
1.3.3 Financial Analysis
1.3.4 E-commerce Data Analysis
1.3.5 Other
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-Powered Data Scraping Tools Market Perspective (2020-2031)
2.2 Global AI-Powered Data Scraping Tools Growth Trends by Region
2.2.1 Global AI-Powered Data Scraping Tools Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI-Powered Data Scraping Tools Historic Market Size by Region (2020-2025)
2.2.3 AI-Powered Data Scraping Tools Forecasted Market Size by Region (2026-2031)
2.3 AI-Powered Data Scraping Tools Market Dynamics
2.3.1 AI-Powered Data Scraping Tools Industry Trends
2.3.2 AI-Powered Data Scraping Tools Market Drivers
2.3.3 AI-Powered Data Scraping Tools Market Challenges
2.3.4 AI-Powered Data Scraping Tools Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-Powered Data Scraping Tools Players by Revenue
3.1.1 Global Top AI-Powered Data Scraping Tools Players by Revenue (2020-2025)
3.1.2 Global AI-Powered Data Scraping Tools Revenue Market Share by Players (2020-2025)
3.2 Global AI-Powered Data Scraping Tools Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI-Powered Data Scraping Tools Revenue
3.4 Global AI-Powered Data Scraping Tools Market Concentration Ratio
3.4.1 Global AI-Powered Data Scraping Tools Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-Powered Data Scraping Tools Revenue in 2024
3.5 Global Key Players of AI-Powered Data Scraping Tools Head office and Area Served
3.6 Global Key Players of AI-Powered Data Scraping Tools, Product and Application
3.7 Global Key Players of AI-Powered Data Scraping Tools, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-Powered Data Scraping Tools Breakdown Data by Type
4.1 Global AI-Powered Data Scraping Tools Historic Market Size by Type (2020-2025)
4.2 Global AI-Powered Data Scraping Tools Forecasted Market Size by Type (2026-2031)
5 AI-Powered Data Scraping Tools Breakdown Data by Application
5.1 Global AI-Powered Data Scraping Tools Historic Market Size by Application (2020-2025)
5.2 Global AI-Powered Data Scraping Tools Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America AI-Powered Data Scraping Tools Market Size (2020-2031)
6.2 North America AI-Powered Data Scraping Tools Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI-Powered Data Scraping Tools Market Size by Country (2020-2025)
6.4 North America AI-Powered Data Scraping Tools Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-Powered Data Scraping Tools Market Size (2020-2031)
7.2 Europe AI-Powered Data Scraping Tools Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI-Powered Data Scraping Tools Market Size by Country (2020-2025)
7.4 Europe AI-Powered Data Scraping Tools Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI-Powered Data Scraping Tools Market Size (2020-2031)
8.2 Asia-Pacific AI-Powered Data Scraping Tools Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI-Powered Data Scraping Tools Market Size by Region (2020-2025)
8.4 Asia-Pacific AI-Powered Data Scraping Tools Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI-Powered Data Scraping Tools Market Size (2020-2031)
9.2 Latin America AI-Powered Data Scraping Tools Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI-Powered Data Scraping Tools Market Size by Country (2020-2025)
9.4 Latin America AI-Powered Data Scraping Tools Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-Powered Data Scraping Tools Market Size (2020-2031)
10.2 Middle East & Africa AI-Powered Data Scraping Tools Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI-Powered Data Scraping Tools Market Size by Country (2020-2025)
10.4 Middle East & Africa AI-Powered Data Scraping Tools Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Browse AI
11.1.1 Browse AI Company Details
11.1.2 Browse AI Business Overview
11.1.3 Browse AI AI-Powered Data Scraping Tools Introduction
11.1.4 Browse AI Revenue in AI-Powered Data Scraping Tools Business (2020-2025)
11.1.5 Browse AI Recent Development
11.2 ScraperAPI
11.2.1 ScraperAPI Company Details
11.2.2 ScraperAPI Business Overview
11.2.3 ScraperAPI AI-Powered Data Scraping Tools Introduction
11.2.4 ScraperAPI Revenue in AI-Powered Data Scraping Tools Business (2020-2025)
11.2.5 ScraperAPI Recent Development
11.3 Octoparse
11.3.1 Octoparse Company Details
11.3.2 Octoparse Business Overview
11.3.3 Octoparse AI-Powered Data Scraping Tools Introduction
11.3.4 Octoparse Revenue in AI-Powered Data Scraping Tools Business (2020-2025)
11.3.5 Octoparse Recent Development
11.4 ScrapeStorm
11.4.1 ScrapeStorm Company Details
11.4.2 ScrapeStorm Business Overview
11.4.3 ScrapeStorm AI-Powered Data Scraping Tools Introduction
11.4.4 ScrapeStorm Revenue in AI-Powered Data Scraping Tools Business (2020-2025)
11.4.5 ScrapeStorm Recent Development
11.5 Bardeen
11.5.1 Bardeen Company Details
11.5.2 Bardeen Business Overview
11.5.3 Bardeen AI-Powered Data Scraping Tools Introduction
11.5.4 Bardeen Revenue in AI-Powered Data Scraping Tools Business (2020-2025)
11.5.5 Bardeen Recent Development
11.6 WebHarvy
11.6.1 WebHarvy Company Details
11.6.2 WebHarvy Business Overview
11.6.3 WebHarvy AI-Powered Data Scraping Tools Introduction
11.6.4 WebHarvy Revenue in AI-Powered Data Scraping Tools Business (2020-2025)
11.6.5 WebHarvy Recent Development
11.7 Diffbot
11.7.1 Diffbot Company Details
11.7.2 Diffbot Business Overview
11.7.3 Diffbot AI-Powered Data Scraping Tools Introduction
11.7.4 Diffbot Revenue in AI-Powered Data Scraping Tools Business (2020-2025)
11.7.5 Diffbot Recent Development
11.8 Import.io
11.8.1 Import.io Company Details
11.8.2 Import.io Business Overview
11.8.3 Import.io AI-Powered Data Scraping Tools Introduction
11.8.4 Import.io Revenue in AI-Powered Data Scraping Tools Business (2020-2025)
11.8.5 Import.io Recent Development
11.9 ParseHub
11.9.1 ParseHub Company Details
11.9.2 ParseHub Business Overview
11.9.3 ParseHub AI-Powered Data Scraping Tools Introduction
11.9.4 ParseHub Revenue in AI-Powered Data Scraping Tools Business (2020-2025)
11.9.5 ParseHub Recent Development
11.10 Kadoa
11.10.1 Kadoa Company Details
11.10.2 Kadoa Business Overview
11.10.3 Kadoa AI-Powered Data Scraping Tools Introduction
11.10.4 Kadoa Revenue in AI-Powered Data Scraping Tools Business (2020-2025)
11.10.5 Kadoa Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Browse AI
ScraperAPI
Octoparse
ScrapeStorm
Bardeen
WebHarvy
Diffbot
Import.io
ParseHub
Kadoa

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