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Web Scraping Market Forecast: Value Set To Climb From $1.17 Billion To $2.28 Billion
The web scraping market has experienced rapid expansion in recent years. It is projected to grow from $0.99 billion in 2025 to $1.17 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 18.5%. This past growth can be ascribed to a heightened need for competitive intelligence, the increasing adoption of dynamic pricing, a rising demand for large-scale automated data collection, greater reliance on digital marketing analytics, and the expanding requirements for e-commerce monitoring.
The web scraping market is expected to experience substantial growth in the upcoming years. It is forecast to expand to $2.28 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 18.2%. This projected increase can be attributed to several factors such as the rising demand for AI and machine learning training datasets, the increasing adoption of cloud-based scraping platforms, the growing need for real-time sentiment and market trend analysis, the expanding scope of digital transformation initiatives across various industries, and the increasing requirement for automated lead generation. Major trends anticipated during this forecast period include advancements in automated web crawling algorithms, the development of low-code and no-code scraping platforms, innovations in anti-blocking and stealth scraping technologies, a greater use of AI-driven extraction models, and increased research and development focused on data quality enhancement tools.
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Web Scraping Market Demand Drivers Opening New Revenue Streams
The ongoing rise in digital transformation is anticipated to propel the growth of the web scraping market. Digital transformation refers to the incorporation of digital technologies into every facet of business, aiming to enhance operations, boost value delivery, and foster innovation through agile and data-driven methodologies. This increase in digital transformation stems from the growing imperative to provide quicker, more personalized, and seamless customer experiences to maintain a competitive edge. Web scraping aids digital transformation by facilitating automated data collection, delivering real-time insights, and enabling well-informed decision-making. It empowers organizations to utilize both external and internal data for process optimization, improved customer experiences, and innovation. For instance, in July 2024, the Office for National Statistics, a UK-based government agency, reported that the digital infrastructure program had received an investment of $535 million (£434 million) by 2022, with a further $907 million (£736 million) allocated for the period from 2023 to 2025. Consequently, the accelerating digital transformation is driving the expansion of the web scraping market.
Web Scraping Market Segments: Where Is Growth Concentrated?
The web scraping market covered in this report is segmented –
1) By Component: Software, Services
2) By Deployment Mode: Cloud, On-Premise
3) By Organization Size: Large Enterprises, Small and Medium-sized Enterprises
4) By Application: Price Monitoring, Market Research, Data Aggregation, Lead Generation, Sentiment Analysis, Competitive Intelligence
5) By End-User Verticals: Retail and E-commerce, Banking, Financial Services & Insurance, Marketing, Advertising & Media, Travel and Hospitality, Manufacturing & Supply Chain, IT and Telecommunications, Healthcare and Life Sciences, Real Estate and Property, Government and Public Sector, Other End-User Verticals
Subsegments:
1) By Software: Cloud Based, On Premises
2) By Services: Professional Services, Managed Services
Web Scraping Market Trends Powering Strategic Industry Growth
Key companies within the web-scraping market are concentrating on developing sophisticated platforms, such as AI-driven low-code solutions, to enhance efficiency, improve accessibility, and lessen technical obstacles and development durations. AI-powered low-code tools are defined as platforms that utilize artificial intelligence to automate the extraction and structuring of web data based on natural language descriptions, thereby removing the requirement for manual coding. For example, in July 2025, Oxylabs.io, a web-intelligence and proxy services firm based in Lithuania, unveiled AI Studio. This new collection of AI-enhanced tools aims to simplify the discovery, collection, and preparation of ready-to-use web data through natural language prompts. It includes AI-Crawler and AI-Scraper capabilities, allowing for smooth data extraction from various or single pages without human intervention. The platform also integrates utilities like Browser Agent for dynamic interactions and AI-Search for web queries, extending its overall utility and decreasing operational complexity for developers, product teams, and data analysts.
Web Scraping Market Leading Companies And Competitive Benchmarking
Major companies operating in the web scraping market are Oxylabs UAB, Bright Data Ltd., Zyte Limited, PromptCloud Inc., Grepsr Inc., Mozenda Inc., Apify ApS, Import.io Ltd., ScraperAPI Inc., ScrapingBee SRL, Helium Scraper Ltd., Octopus Data Inc., Diffbot Inc., Webz.io Ltd., ParseHub LLC, PhantomBuster SARL, DataForSEO Ltd., Smartproxy Ltd., DataMiner Ltd., PacketStream LLC, WebScraper.io Pty Ltd., ScrapingDog Inc., ZenRows Ltd., WebHarvy Software Ltd., IPRoyal Ltd.
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Web Scraping Market Top Region By Revenue And Market Share
North America was the largest region in the web scraping market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the web scraping market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
