Global AI Driven Web Scraping Market 2025-2029

AI Driven Web Scraping Market 2025-2029

The ai driven web scraping market is forecasted to grow by USD 3159 mn during 2024-2029, accelerating at a CAGR of 39.4% during the forecast period. The report on the ai driven web scraping market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by surging demand for data-driven insights and business intelligence, continuous advancements in ai, ml, and nlp, and increasing complexity of websites and inadequacy of traditional scraping.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's ai driven web scraping market is segmented as below:

By Type

• Dynamic scraping
• Static scraping
• API-based scraping

By Application

• E-commerce and retail
• Finance and banking
• Market research
• Cyber security
• Others

By Deployment

• Cloud-based
• On-premises
• Hybrid

By Geographical Landscape

• North America
• Europe
• APAC
• South America
• Middle East and Africa

This study identifies the rise of llms and democratization through no-code and low-code platforms as one of the prime reasons driving the ai driven web scraping market growth during the next few years. Also, web data as essential fuel for training generative ai models and evolution towards autonomous, agent-based scraping systems will lead to sizable demand in the market.

The report on the ai driven web scraping market covers the following areas:

• AI Driven Web Scraping Market sizing
• AI Driven Web Scraping Market forecast
• AI Driven Web Scraping Market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading ai driven web scraping market vendors that include Apify Technologies s.r.o., Bright Data Ltd., Diffbot Technologies Corp., Import.io, International Business Machines Corp., Microsoft Corp., NetNut, Octopus Data Inc., Oxylabs.io, ParseHub, People Data Labs Inc., PhantomBuster, PromptCloud, ScrapeGraphAI Inc, ScrapeHero, and ScrapingBee. Also, the ai driven web scraping market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth. Show more