Artificial Intelligence (AI)-Driven Web Scraping Market Report 2026

Artificial Intelligence (AI)-Driven Web Scraping Market Overview

• Artificial Intelligence (AI)-Driven Web Scraping market size has reached to $8.24 billion in 2025 • Expected to grow to $23.70 billion in 2030 at a compound annual growth rate (CAGR) of 23.5% • Growth Driver: Rising Adoption Of AI-Powered Decision-Making Tools Fueling The Growth Of The Market Due To Enhancing Decision Accuracy And Context-Aware Insights • Market Trend: AI-Powered Low-Code Platform Simplifies Web Data Extraction • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Artificial Intelligence (AI)-Driven Web Scraping Market?

Artificial intelligence (AI)-driven web scraping is an advanced method of automatically collecting, interpreting, and extracting structured information from websites using machine learning, natural language processing, and intelligent automation. Its purpose is to enable faster, more accurate, and scalable data gathering for insights, analytics, and decision-making across industries. The main scraping type of artificial intelligence (AI)-driven web scraping includes static web scraping, dynamic web scraping, application programming interface scraping, and image and text recognition. Static web scraping refers to the process of extracting information from fixed web pages where content does not change dynamically or require user interaction. The deployment types include on-premises, cloud, and hybrid solutions. The organization sizes include small enterprises, medium enterprises, and large enterprises. The applications include price monitoring, market intelligence, lead generation, and data mining. The key industry verticals include e-commerce, financial services, healthcare, manufacturing, retail, technology.

What Is The Artificial Intelligence (AI)-Driven Web Scraping Market Growth Forecast?

The artificial intelligence (AI)-driven web scraping market size is expected to see exponential growth in the next few years. It will grow to $23.70 billion in 2030 at a compound annual growth rate (CAGR) of 23.5%. The growth in the forecast period can be attributed to increasing demand for real‑time business intelligence, rising adoption of artificial intelligence and machine learning technologies, growing need for dynamic pricing and market monitoring, expansion of no‑code/low‑code scraping platforms, and growing demand from small and medium enterprises. Major trends in the forecast period include technology advancements in artificial intelligence (AI) and machine learning, innovation in automated data extraction tools, developments in cloud‑native and scalable scraping platforms, research and development in anti‑bot evasion and proxy networks, and increasing integration with real‑time analytics and decision‑making systems.

Global Artificial Intelligence (AI)-Driven Web Scraping Market Segmentation

1) By Scraping Type: Static Web Scraping, Dynamic Web Scraping, Application Programming Interface Scraping, Image And Text Recognition 2) By Deployment Type: On-Premises, Cloud, Hybrid 3) By Organization Size: Small Enterprises, Medium Enterprises, Large Enterprises 4) By Application: Price Monitoring, Market Intelligence, Lead Generation, Data Mining 5) By Industry Vertical: E-Commerce, Financial Services, Healthcare, Manufacturing, Retail, Technology Subsegments: 1) By Static Web Scraping: Manual Static Page Extraction, Automated Static Content Parsing, Hypertext Markup Language Structure Based Extraction, File Based Static Data Retrieval, Script Driven Static Data Collection 2) By Dynamic Web Scraping: Browser Automation Extraction, Java Script Rendered Content Extraction, Interactive Page Element Extraction, Form Submission Based Extraction, Dynamic Hypertext Markup Language Content Parsing 3) By Application Programming Interface Scraping: Public Application Programming Interface Data Extraction, Private Application Programming Interface Data Extraction, Rest Application Programming Interface Based Data Collection, Graph Query Language Application Programming Interface Based Extraction, Automated Application Programming Interface Response Parsing 4) By Image And Text Recognition: Optical Character Recognition Based Data Extraction, Image Pattern Recognition Extraction, Document Image Data Capture, Visual Content Based Data Identification, Text Recognition From Multimedia Content

What Is The Driver Of The Artificial Intelligence (AI)-Driven Web Scraping Market?

The rising adoption of AI-powered decision-making tools is expected to propel the growth of the artificial intelligence (AI)-driven web scraping market going forward. AI-powered decision-making tools are software systems that use artificial intelligence, such as machine learning and predictive analytics, to automate and enhance business decisions and insights. The rise in adoption is due to increasing enterprise digitalization and the need for data-driven strategic decision-making. Artificial intelligence (AI)-driven web scraping enhances AI-powered decision-making tools by automatically collecting and structuring large volumes of real-time data from diverse online sources. It improves analytical accuracy and timeliness by feeding machine learning models with up-to-date insights, enabling faster, data-driven strategic decisions. For instance, in January 2025, according to Eurostat, a Luxembourg-based statistical office of the European Union, in 2024, 13.5% of enterprises with 10 or more employees used AI technologies, up from 8.0% in 2023, marking a 5.5 percentage-point increase. Therefore, the rising adoption of AI-powered decision-making tools is driving the growth of the artificial intelligence (AI)-driven web scraping industry.

Key Players In The Global Artificial Intelligence (AI)-Driven Web Scraping Market

Major companies operating in the artificial intelligence (AI)-driven web scraping market are Tungsten Automation, Hangzhou Duosuan Technology Co. Ltd., Oxylabs UAB, Bright Data Ltd., Zyte Ltd., Grepsr Pvt. Ltd., Apify Technologies s.r.o., Octopus Data Inc., Octoparse Co. Ltd., SerpApi LLC, ParseHub Inc., Diffbot Technologies Corp., Browse AI Inc., The Phantombuster Company, Scraping Robotics Inc., Scrapfly, DataHen Canada Inc., Datahut, ZenRows Inc., Smartproxy LLC

Global Artificial Intelligence (AI)-Driven Web Scraping Market Trends and Insights

Major companies operating in the artificial intelligence (AI)-driven web scraping market are focusing on developing advanced platforms, such as AI-powered low-code tools, to boost efficiency, enhance accessibility, and reduce technical barriers and development time. AI-powered low-code tools refer to platforms that use artificial intelligence to automate the extraction and structuring of web data based on natural language descriptions, eliminating the need for manual coding. For instance, in July 2025, Oxylabs.io, a Lithuania-based web‑intelligence and proxy services company, launched AI Studio. It is a new suite of AI-powered tools designed to make it easy to find, collect, and get ready-to-use web data through natural language prompts. It includes AI-Crawler and AI-Scraper functionalities, enabling seamless data extraction from multiple or single pages without operator intervention. It also incorporates tools such as Browser Agent for dynamic interactions and AI-Search for web queries, extending the platform's utility and reducing operational complexity for developers, product teams, and data analysts.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI)-Driven Web Scraping Market?

In June 2025, Oxylabs Group, a Lithuania-based provider of web intelligence acquisition tools and proxy services, acquired ScrapingBee for an an undisclosed amount. With this acquisition, Oxylabs Group aims to enhance its position in the web scraping industry by adding a leading direct-to-consumer API product known for its ease of use and high-quality data extraction capabilities. ScrapingBee is a France-based software company providing a AI-based web scraping API that handles headless browsers and proxy rotation for developers.

Regional Insights

North America was the largest region in the artificial intelligence (AI)-driven web scraping market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Artificial Intelligence (AI)-Driven Web Scraping Market?

The artificial intelligence (AI)-driven web scraping market consists of revenues earned by entities by providing services such as artificial intelligence (AI)-powered data extraction, automated web crawling, website content monitoring, real-time competitive intelligence gathering, and large-scale data aggregation services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-Driven Web Scraping market also includes sales of artificial intelligence (AI)-based scraping software tools, intelligent crawlers, automated data parsing engines, web data APIs, and cloud-based scraping platforms.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Artificial Intelligence (AI)-Driven Web Scraping Market Report 2026?

The artificial intelligence (ai)-driven web scraping market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai)-driven web scraping industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.