According to our (Global Info Research) latest study, the global AI-Powered Data Scraping Tools market size was valued at US$ 304 million in 2024 and is forecast to a readjusted size of USD 761 million by 2031 with a CAGR of 14.2% during review 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.
This report is a detailed and comprehensive analysis for global AI-Powered Data Scraping Tools market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI-Powered Data Scraping Tools market size and forecasts, in consumption value ($ Million), 2020-2031
Global AI-Powered Data Scraping Tools market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global AI-Powered Data Scraping Tools market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global AI-Powered Data Scraping Tools market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI-Powered Data Scraping Tools
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI-Powered Data Scraping Tools market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Browse AI, ScraperAPI, Octoparse, ScrapeStorm, Bardeen, WebHarvy, Diffbot, Import.io, ParseHub, Kadoa, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI-Powered Data Scraping Tools market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Static
Dynamic
Market segment by Application
Market Research
Financial Analysis
E-commerce Data Analysis
Other
Market segment by players, this report covers
Browse AI
ScraperAPI
Octoparse
ScrapeStorm
Bardeen
WebHarvy
Diffbot
Import.io
ParseHub
Kadoa
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI-Powered Data Scraping Tools product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI-Powered Data Scraping Tools, with revenue, gross margin, and global market share of AI-Powered Data Scraping Tools from 2020 to 2025.
Chapter 3, the AI-Powered Data Scraping Tools competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and AI-Powered Data Scraping Tools market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI-Powered Data Scraping Tools.
Chapter 13, to describe AI-Powered Data Scraping Tools research findings and conclusion.
Learn how to effectively navigate the market research process to help guide your organization on the journey to success.
Download eBook