Latest News- AI Driven Web Scraping Market: Dynamic scraping is expected to lead the Type segment during 2025-2029

The AI Driven Web Scraping Market is being driven by Surging demand for data-driven insights and business intelligence

The AI Driven Web Scraping Market is expected to grow at a CAGR of 39.4% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 3159 million. The integration of Large Language Models (LLMs) and generative AI is revolutionizing the global AI-driven web scraping market. This development is significantly expanding the user base beyond technical experts, making web scraping an accessible business tool for non-technical users such as market analysts, sales professionals, and business strategists. Historically, web scraping required substantial programming expertise to create and maintain intricate scripts capable of navigating website structures and extracting specific data points. The high technical barrier to entry impeded widespread adoption. However, the emergence of AI-powered tools eliminates this hurdle by utilizing the natural language understanding capabilities of LLMs to simplify the web scraping process. 

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Which Factors Are Causing a Surge in Market Growth?

The market is segmented based on

• Type
  • Dynamic scraping
  • Static scraping
  • API-based scraping
• Application
  • E-commerce and retail
  • Finance and banking
  • Market research
  • Cyber security
  • Others
• Deployment
  • Cloud-based
  • On-premises
  • Hybrid
• Geography
  • North America
    • Canada
    • US
  • Europe
    • Germany
    • UK
    • France
    • Italy
  • APAC
    • China
    • India
    • Japan
    • South Korea
  • South America
  • Middle East and Africa

According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

• Surging demand for data-driven insights and business intelligence
• Continuous advancements in AI, ML, and NLP
• Increasing complexity of websites and inadequacy of traditional scraping

However, the market also witnesses some limitations, which are as follows:

• Escalating sophistication of anti-scraping technologies
• Complex and evolving legal and ethical landscape
• Ensuring data quality, accuracy, and reliability

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Market Scope in AI Driven Web Scraping Market Research Report

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Research Analysis Overview

The AI-driven web scraping market encompasses technologies and tools for extracting data from websites through a data pipeline. This involves web data integration, collection, and enrichment processes, which require data quality assessment, error handling mechanisms, log analysis techniques, and performance monitoring tools. Data governance policies ensure compliance with regulations, while content parsing libraries and HTML DOM manipulation facilitate data extraction. XPath query language, CSS selectors usage, regex pattern matching, JSON data processing, XML data processing, CSV data handling, database schema design, SQL database queries, and NoSQL database options are essential for data processing. Data anonymization methods and encryption techniques secure data, while API key management, authentication protocols, and robots.txt compliance maintain ethical data collection practices.

Market Research Overview

The AI-driven web scraping market is a subset of the larger IT consulting and other services market, which encompasses firms specializing in IT consulting, system integration, application services, business process outsourcing, infrastructure services, and Internet services. According to Technavio, the global IT consulting and other services market size is determined by the consolidated revenue generated by organizations delivering various IT consulting and information management services. This figure incorporates annual revenues from IT service contracts. Key growth drivers for the IT consulting and other services market include: 1. Expanding government investments in advanced IT infrastructure: Governments worldwide face a shortage of professionals proficient in modern IT skills. To address this gap, they are increasing their IT budgets to modernize their infrastructure and hire external expertise. 2. Enhanced data extraction through web scraping techniques: Businesses are increasingly relying on data-driven insights to make informed decisions. Web scraping techniques enable the automated extraction of data from websites, providing valuable information for analysis. 3. API integration strategies for streamlined data access: APIs facilitate seamless data exchange between applications, allowing for improved operational efficiency and real-time data processing. 4. Proxy server configuration for secure and uninterrupted web scraping: Proxy servers help mask IP addresses and protect against detection, ensuring the continuity and security of web scraping activities.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.

Technavio Research
Jesse Maida
Media & Marketing Executive
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UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/