The commercial centre is anticipated to arrive at USD 886.03 Million in 2025 and is required to develop to USD 4369.4 Million by 2035, recording a CAGR of 17.3% over the figure time frame.

Metric	Value
Market Size (2025E)	USD 886.03 Million
Market Value (2035F)	USD 4369.4 Million
CAGR (2025 to 2035)	17.3%

Country-wise Insights

Country	CAGR (2025 to 2035)
USA	24.5%

Country	CAGR (2025 to 2035)
UK	23.8%

Country	CAGR (2025 to 2035)
European Union (EU)	24.0%

Country	CAGR (2025 to 2035)
Japan	24.3%

Country	CAGR (2025 to 2035)
South Korea	24.6%

Competitive Outlook

Company Name	Estimated Market Share (%)
Bright Data (formerly Luminati)	15-20%
ScrapeHero	12-16%
Apify	10-14%
Oxylabs	8-12%
DataDome	6-10%
Other Companies (combined)	35-45%

The no-code web scraping tool market is experiencing robust growth, driven by the increasing demand for automated data extraction across diverse sectors. The market's expansion is fueled by several key factors. Firstly, the rise of e-commerce and the need for competitive pricing intelligence necessitates efficient data collection. Secondly, the travel and hospitality industries leverage web scraping for dynamic pricing and competitor analysis. Thirdly, academic research, finance, and human resources departments utilize these tools for large-scale data analysis and trend identification. The ease of use offered by no-code platforms democratizes web scraping, eliminating the need for coding expertise, and significantly accelerating the data acquisition process. This accessibility attracts a wider user base, contributing to market expansion. The market is segmented by application (e-commerce, travel & hospitality, academic research, finance, human resources, and others) and type (text-based, cloud-based, and API-based web scrapers). While the market is competitive, with numerous players offering varying functionalities and pricing models, the continued growth in data-driven decision-making across industries assures continued expansion. Cloud-based solutions are expected to dominate due to scalability and ease of access. Future growth hinges on the development of more sophisticated no-code platforms offering enhanced features such as AI-powered data cleaning and intelligent data analysis capabilities. Geographic regions like North America and Europe currently hold significant market share, but Asia-Pacific is poised for substantial growth due to increasing digital adoption and expanding e-commerce markets. The historical period (2019-2024) likely witnessed a moderate growth rate, setting the stage for the accelerated expansion projected for the forecast period (2025-2033). Assuming a conservative CAGR of 15% for the historical period, resulting in a 2024 market size of approximately $500 million, and applying a slightly higher CAGR of 20% for the forecast period, reflects the increasing adoption and sophistication of these tools. Factors such as stringent data privacy regulations and the increasing sophistication of anti-scraping measures present potential restraints, but innovative solutions are emerging to address these challenges, including ethical data sourcing and advanced proxy management features. The ongoing integration of AI and machine learning capabilities into no-code platforms is also expected to propel market growth, enabling more sophisticated data extraction and analysis with minimal user input.

The global web scraping tools market is projected to reach a value of USD 9713 million by 2033, expanding at a CAGR of 14.6% from 2025 to 2033. The surging demand for data-driven insights in various industries, such as retail and e-commerce, advertising and media, and finance, is primarily fueling market growth. Moreover, the increasing adoption of cloud-based web scraping tools and the emergence of advanced artificial intelligence (AI) and machine learning (ML) technologies are further driving market expansion. Key drivers of market growth include the increasing need for data extraction and analysis for business intelligence, the growing adoption of cloud-based solutions, the rising demand for web scraping services in e-commerce and other industries, and the growing popularity of AI and ML technologies. Restraints to market growth include the potential for data privacy and security concerns, the lack of skilled web scraping professionals, and the increasing complexity of web pages. The market is segmented into various types, including cloud-based and on-premises, and applications, including retail and e-commerce, advertising and media, finance, and others. Prominent players in the market include Octoparse, Scrapy, Watir, Apache Nutch, Bright Data, Apify, Zenscrape API, Scrape Owl, Dexi Intelligent, and GSA Proxy Scraper.

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AI Driven Web Scraping Market Size 2025-2029

The AI driven web scraping market size is valued to increase USD 3.16 billion, at a CAGR of 39.4% from 2024 to 2029. Surging demand for data-driven insights and business intelligence will drive the ai driven web scraping market.

Major Market Trends & Insights

North America dominated the market and accounted for a 38% growth during the forecast period.
By Type - Dynamic scraping segment was valued at USD 82.90 billion in 2023
By Application - E-commerce and retail segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 1.00 million
Market Future Opportunities: USD 3159.00 million
CAGR from 2024 to 2029 : 39.4%

Market Summary

The AI-driven web scraping market is experiencing significant growth, fueled by the increasing demand for data-driven insights and business intelligence. The rise of Large Language Model (LLM) and the democratization of web scraping through no-code and low-code platforms are key drivers, enabling businesses to extract valuable data from the web more efficiently and effectively than ever before. These advancements enable businesses to extract valuable data from the web more efficiently and effectively than ever before. However, this growth comes with challenges. The sophistication of anti-scraping technologies is escalating, requiring advanced techniques and technologies to bypass these barriers.
According to recent estimates, the global web scraping market is projected to reach USD12.5 billion by 2027, underscoring its growing importance in the digital business landscape. Despite these challenges, the future of AI-driven web scraping is bright, offering businesses a powerful tool to gain a competitive edge in today's data-driven economy.

What will be the Size of the AI Driven Web Scraping Market during the forecast period?

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How is the AI Driven Web Scraping Market Segmented ?

The ai driven web scraping industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

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

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Type Insights

The dynamic scraping segment is estimated to witness significant growth during the forecast period.

The AI-driven web scraping market continues to evolve, with the services segment, or Data as a Service (DaaS,) gaining significant traction. In this model, clients outsource the entire data acquisition process to specialized companies, specifying their data requirements, including target websites and desired data fields, while the service provider manages the technical aspects. This approach is ideal for organizations lacking the in-house expertise, infrastructure, or time for complex web scraping operations. The integration of artificial intelligence is crucial for scalability and efficiency, enabling distributed scraping systems, data validation rules, and data visualization dashboards. Machine learning models power link extraction techniques, image recognition algorithms, and natural language processing, while proxy server management, unstructured data processing, and data cleaning pipelines ensure legal compliance frameworks.

Data transformation rules and structured data parsing facilitate API integration strategies, and headless browser automation, error handling mechanisms, and rate limiting protocols maintain ethical scraping guidelines. The market's growth is evident in the 50% annual increase in companies using cloud storage solutions for data storage and real-time data streaming.

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The Dynamic scraping segment was valued at USD 82.90 billion in 2019 and showed a gradual increase during the forecast period.

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Regional Analysis

North America is estimated to contribute 38% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market is experiencing significant growth and evolution, with North America leading the charge. This region, particularly the United States, boasts the largest and most mature market due to its advanced technological infrastructure, the presence of leadi

The news scraper tool market is experiencing robust growth, driven by the increasing need for real-time data analysis and insights across various sectors. The market, estimated at $2 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching a value exceeding $6 billion by 2033. This expansion is fueled by several key factors. Firstly, the proliferation of online news sources and the exponential growth of digital content create a massive demand for automated data extraction tools. Secondly, businesses across finance, market research, media monitoring, and competitive intelligence heavily rely on news data for informed decision-making, making news scraper tools indispensable. Thirdly, advancements in web scraping technologies, including improved AI-powered data parsing and enhanced handling of dynamic websites, are contributing to greater efficiency and accuracy. Finally, the growing adoption of cloud-based solutions offers scalable and cost-effective access to these tools for businesses of all sizes. However, challenges remain. The ever-changing structure and design of websites require continuous updates to scraping tools, demanding significant development and maintenance efforts. Furthermore, legal and ethical considerations surrounding data scraping, including concerns about website terms of service and copyright infringement, need careful navigation. The market is segmented by tool type (cloud-based vs. on-premise), deployment model (SaaS vs. self-hosted), pricing model (subscription vs. one-time purchase), and end-user industry (finance, media, research, etc.). Key players in this space include Bright Data, Oxylabs, Nimble, DataOx, and Zyte, each offering specialized features and targeting different market segments. Competitive differentiation is crucial, focusing on data accuracy, speed, scalability, ease of use, and compliance with data privacy regulations. The continued evolution of web technologies will undoubtedly shape the future of the news scraper tool market, demanding ongoing innovation and adaptation from market participants.

The Web Data Providers Software market is experiencing robust growth, driven by the increasing demand for real-time data insights across various industries. The market's expansion is fueled by the rising adoption of big data analytics, the proliferation of connected devices generating massive datasets, and the need for businesses to make data-driven decisions. Organizations across sectors like finance, marketing, and research leverage these software solutions to collect, process, and analyze web data for competitive intelligence, market research, and customer profiling. The market's growth is further accelerated by advancements in web scraping technologies, AI-powered data extraction, and cloud-based solutions offering scalable and cost-effective data access. While challenges like data privacy regulations and the ethical implications of web scraping exist, the overall market trajectory remains positive, indicating significant opportunities for established players and new entrants alike. We project a healthy Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, with a market size exceeding $5 billion by 2033, based on current market trends and the continued expansion of digital technologies. The competitive landscape is highly dynamic, with a mix of established players like Microsoft and emerging specialized providers. The market is characterized by a diverse range of solutions, from comprehensive data extraction platforms to specialized tools focused on specific data types or industries. Success in this market hinges on factors such as data accuracy, speed of extraction, ease of use, compliance with data privacy regulations (like GDPR and CCPA), and the ability to integrate seamlessly with existing business intelligence systems. The market is also seeing a growing demand for ethical and responsible web scraping practices, further shaping the evolution of the technology and driving innovation within the sector. This includes the development of solutions that prioritize consent, respect website terms of service, and avoid overloading target servers. The trend towards automation and AI-powered data extraction is expected to continue, leading to greater efficiency and improved data quality.

BASE YEAR	2024
HISTORICAL DATA	2019 - 2023
REGIONS COVERED	North America, Europe, APAC, South America, MEA
REPORT COVERAGE	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
MARKET SIZE 2024	3.26(USD Billion)
MARKET SIZE 2025	3.67(USD Billion)
MARKET SIZE 2035	12.0(USD Billion)
SEGMENTS COVERED	Tool Type, Deployment Model, End User, Industry Verticals, Regional
COUNTRIES COVERED	US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
KEY MARKET DYNAMICS	increased data availability, growing e-commerce sector, advancement in AI technologies, regulatory compliance challenges, demand for competitive analysis
MARKET FORECAST UNITS	USD Billion
KEY COMPANIES PROFILED	Octoparse, DataMiner, WebHarvy, Web Scraper, Zyte, Scrapy, Import.io, Diffbot, Content Grabber, Mozenda, Apify, Scrapinghub, Common Crawl, ParseHub, Bright Data, Fminer
MARKET FORECAST PERIOD	2025 - 2035
KEY MARKET OPPORTUNITIES	Increased demand for real-time data, Growth in e-commerce analytics, Expansion in artificial intelligence integration, Rising need for competitive intelligence, Proliferation of big data applications
COMPOUND ANNUAL GROWTH RATE (CAGR)	12.6% (2025 - 2035)

The global web scraping software and platform market reached a valuation of USD XXX million in 2022 and is estimated to expand at a CAGR of XX% during the forecast period of 2023-2030. The rising need for data-driven decision-making, the proliferation of e-commerce, and the growing adoption of big data analytics are key factors fueling market growth. Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) are enabling the development of more efficient and accurate web scraping tools. Segmentation-wise, the enterprise segment is expected to hold a dominant share of the market due to the increasing adoption of data-driven strategies by businesses to gain insights into customer behavior, market trends, and competitive landscapes. Geographically, North America is projected to remain the largest market due to the presence of leading tech companies and mature data analytics infrastructure. Asia-Pacific is anticipated to exhibit the fastest growth rate owing to the rapidly expanding e-commerce sector and government initiatives promoting digitalization. Key players in the market include Apify, Webz.io, Sequentum, Fminer, ParseHub, Scrapestack, import.io, Scrape Owl, Outwit, Bright Data, Agenty, Dexi smart, Data Streamer, Scrapingbee, Scrapy, Scraper API, Octopus Data, Prowebscraper, Mozenda, Diffbot, ScrapeHero, Data Scraper, and Visual Web Ripper.

BASE YEAR	2024
HISTORICAL DATA	2019 - 2023
REGIONS COVERED	North America, Europe, APAC, South America, MEA
REPORT COVERAGE	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
MARKET SIZE 2024	1158.4(USD Million)
MARKET SIZE 2025	1281.2(USD Million)
MARKET SIZE 2035	3500.0(USD Million)
SEGMENTS COVERED	Application, Deployment Type, End User, Industry Vertical, Regional
COUNTRIES COVERED	US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
KEY MARKET DYNAMICS	growing demand for data analytics, increasing competition among businesses, advancements in AI technologies, regulatory compliance challenges, rise of e-commerce platforms
MARKET FORECAST UNITS	USD Million
KEY COMPANIES PROFILED	Octoparse, Apify, Bright Data, Diffbot, Mozenda, Crawling API, DataMiner, WebHarvy, Zyte, Import.io, WebScraper.io, Beautiful Soup, ParseHub, Content Grabber, Scrapy
MARKET FORECAST PERIOD	2025 - 2035
KEY MARKET OPPORTUNITIES	Increased demand for data analytics, Growing e-commerce and retail sectors, Rising need for market intelligence, Expansion of AI and machine learning, Enhanced data compliance regulations
COMPOUND ANNUAL GROWTH RATE (CAGR)	10.6% (2025 - 2035)

The global proxy server service market is experiencing robust growth, driven by increasing demand for data privacy, enhanced security, web scraping, and access to geo-restricted content. The market size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant growth is fueled by the expanding adoption of cloud-based services, the rise of e-commerce and social media monitoring, and the increasing need for anonymity and security online. Key market drivers include the growing need for data security in various industries, the surge in online businesses leveraging web scraping for market research and competitor analysis, and the expanding use of proxy servers for accessing geographically restricted content for streaming, gaming and other applications. Several trends are shaping the market landscape. The increasing sophistication of proxy server technologies, including the emergence of residential proxies and the development of advanced anonymity features, are boosting market adoption. Furthermore, the rise of mobile-first strategies and the increasing use of AI-driven solutions for web scraping are creating new opportunities. However, market restraints such as regulatory concerns surrounding data privacy and the increasing sophistication of anti-proxy measures used by websites are potentially limiting market expansion. The market is segmented by proxy type (residential, datacenter, mobile), application (web scraping, data security, testing, marketing, etc.), and region. Major players like Bright Data, Oxylabs, and Zyte are competing fiercely, investing heavily in research and development to maintain their market share and expand their service offerings. The forecast period of 2025-2033 anticipates substantial growth, with the market size potentially exceeding $7 billion by 2033.

The No-Code Web Scraper Tool market is experiencing significant growth, driven by factors such as the increasing adoption of AI and automation technologies, the need for efficient data extraction, and the growing trend of online businesses. The market is expected to reach a value of USD XX million by 2033, growing at a CAGR of XX% during the forecast period. North America and Europe are the leading markets for No-Code Web Scraper Tools, followed by the Asia Pacific region. Key players in the market include Bright Data, Webscraper.io, Octoparse, Dexi.io, and ParseHub, among others. The market is segmented based on type (text-based, cloud-based, API-based), application (e-commerce, travel & hospitality, academic research, finance, etc.), and region. E-commerce and travel & hospitality are the major application segments for No-Code Web Scraper Tools. The rising need for data extraction for competitive analysis, market research, and customer analytics is driving the growth of the market in these segments. The market is expected to face challenges due to concerns over data privacy and security, as well as the availability of alternative data extraction methods. However, the advancements in AI and cloud computing technologies are expected to overcome these challenges and drive further growth in the No-Code Web Scraper Tool market. This report provides a comprehensive overview of the No Code Web Scraper Tool market, with a focus on innovation, industry trends, key players, regional insights, growth catalysts, and challenges. The report is based on extensive research, including primary and secondary data analysis, expert interviews, and industry insights. The report is designed to help businesses understand the market landscape and make informed decisions about their web scraping strategies.

BASE YEAR	2024
HISTORICAL DATA	2019 - 2023
REGIONS COVERED	North America, Europe, APAC, South America, MEA
REPORT COVERAGE	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
MARKET SIZE 2024	3.07(USD Billion)
MARKET SIZE 2025	3.42(USD Billion)
MARKET SIZE 2035	10.0(USD Billion)
SEGMENTS COVERED	Application, Deployment Type, End User, Type, Regional
COUNTRIES COVERED	US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
KEY MARKET DYNAMICS	growing demand for data insights, increasing adoption of AI technologies, rising focus on competitive intelligence, regulatory compliance requirements, advancements in web scraping technologies
MARKET FORECAST UNITS	USD Billion
KEY COMPANIES PROFILED	Diffbot, Web Scraper, Web scraping Hub, Scrapy, Octoparse, WebHarvy, Data Miner, Mozenda, Common Crawl, Bright Data, Zyte, Crawlera, Content Grabber, Apify, ParseHub, Import.io
MARKET FORECAST PERIOD	2025 - 2035
KEY MARKET OPPORTUNITIES	Rising demand for data analytics, Increased adoption of automation tools, Growth in e-commerce data needs, Expansion of social media monitoring, Advancements in AI and machine learning
COMPOUND ANNUAL GROWTH RATE (CAGR)	11.3% (2025 - 2035)

BASE YEAR	2024
HISTORICAL DATA	2019 - 2023
REGIONS COVERED	North America, Europe, APAC, South America, MEA
REPORT COVERAGE	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
MARKET SIZE 2024	3.49(USD Billion)
MARKET SIZE 2025	3.91(USD Billion)
MARKET SIZE 2035	12.0(USD Billion)
SEGMENTS COVERED	Application, Deployment Type, End User, Scraping Type, Regional
COUNTRIES COVERED	US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
KEY MARKET DYNAMICS	Data-driven decision making, Increasing demand for competitive analysis, Regulatory compliance challenges, Rising need for business intelligence, Automation of data collection processes
MARKET FORECAST UNITS	USD Billion
KEY COMPANIES PROFILED	Zyte, Octoparse, Bright Data, Import.io, WebHarvy, Scrapinghub, Content Grabber, DataMiner, Mozenda, ScraperAPI, Diffbot, PhantomBuster, ParseHub, Apify, Data Scraping Services, WebScraper.io
MARKET FORECAST PERIOD	2025 - 2035
KEY MARKET OPPORTUNITIES	Increase in data-driven decision making, Growth of e-commerce platforms, Rising demand for competitive analysis, Expansion of AI and machine learning, Integration with big data analytics
COMPOUND ANNUAL GROWTH RATE (CAGR)	11.8% (2025 - 2035)