Web Scraping Market Size
| Study Period | 2019 - 2029 |
| Market Size (2024) | USD 0.9 Billion |
| Market Size (2029) | USD 1.74 Billion |
| CAGR (2024 - 2029) | 14.20 % |
| Fastest Growing Market | Asia Pacific |
| Largest Market | Asia Pacific |
| Market Concentration | Low |
Major Players
*Disclaimer: Major Players sorted in no particular order |
Web Scraping Market Analysis
The Web Scraping Market size is estimated at USD 0.9 billion in 2024, and is expected to reach USD 1.74 billion by 2029, at a CAGR of 14.20% during the forecast period (2024-2029).
- The web scraping market is witnessing rapid expansion, fueled by the surging demand for data extraction and analysis. E-commerce platforms vigilantly track competitor pricing, product listings, and customer reviews to maintain their edge. Web scraping proves essential for gathering product details, monitoring price fluctuations, and deciphering market trends. As online retail burgeons, companies increasingly rely on web scraping for competitive analysis and inventory oversight. The quest for real-time data to uphold a competitive edge in ever-evolving marketplaces amplifies the demand for web scraping solutions.
- The internet teems with unstructured data ranging from text and images to videos—distributed across websites, blogs, forums, and social media. Web scraping tools adeptly transform this unstructured data into structured formats primed for business analysis. With unstructured data proliferating at an unprecedented rate, organizations are turning to web scraping to extract valuable insights. This is especially crucial in domains like sentiment analysis, content aggregation, and competitive intelligence.
- Web scraping tools are harnessing cutting-edge AI and machine learning algorithms, enhancing both the efficiency and precision of data extraction. AI empowers web scrapers to navigate sites with intelligence, grasp context, and adapt to structural changes. Meanwhile, machine learning refines data cleaning and preprocessing, boosting the quality of the extracted information. As these technologies advance, they render web scraping tools more sophisticated, scalable, and user-friendly, driving their widespread adoption across various sectors.
- As businesses grow increasingly data-savvy, they recognize the pivotal role of market intelligence in securing a competitive advantage. Web scraping emerges as a vital tool, enabling organizations to track competitors, gauge customer preferences, and discern industry trends. Such insights inform adjustments in marketing strategies, product offerings, and pricing models. Consequently, with the heightened emphasis on competitive analysis, businesses are increasingly leaning on web scraping for timely market insights.
- However, the web scraping market grapples with significant challenges, notably the legal and ethical dilemmas surrounding data extraction. Numerous websites explicitly forbid scraping in their terms of service. Moreover, extracting large data volumes can infringe upon copyright laws or intellectual property rights. Scraping sensitive personal data or proprietary content raises privacy concerns. As the popularity of web scraping surges, companies must deftly navigate these legal intricacies to sidestep lawsuits and protect their reputations.
- Inflation and geopolitical tensions present distinct challenges and prospects for the web scraping market. Inflation nudges businesses towards cost efficiency and automation as a means to safeguard profitability. Given its ability to automate extensive data collection, web scraping emerges as a cost-effective alternative to manual data gathering. This perception could catalyze a heightened demand for web scraping technologies, especially as businesses strive to curtail labor costs and bolster operational efficiency. Such trends suggest an increasing reliance on web scraping tools, enabling automated data extraction without the financial burden of manual labor.
Web Scraping Market Trends
Cloud Deployment is Expected to Witness Remarkable Growth
- The web scraping market is increasingly favoring cloud deployment, driven by its scalability, flexibility, and cost-efficiency advantages. As businesses seek to automate data extraction and derive actionable insights, the allure of cloud-based web scraping solutions grows stronger. Cloud deployment facilitates easy scaling of web scraping solutions in line with data volume. Businesses can dynamically adjust server numbers or processing power, adeptly managing large-scale data extraction without the burden of hefty on-premise hardware investments. This adaptability becomes crucial as the appetite for scraping expansive datasets from diverse websites surges.
- With cloud-based web scraping, businesses adopt a pay-as-you-go model, sidestepping hefty upfront investments in servers and IT infrastructure. This approach not only curtails capital expenditures but also trims operational costs. Such financial flexibility is especially beneficial for small to medium-sized enterprises that, while needing web scraping capabilities, may not have the bandwidth for on-premise infrastructure management.
- Cloud environments excel at managing vast data volumes and executing intricate processing tasks. Given that web scraping encompasses data extraction, cleaning, and storage often resource-intensive endeavors cloud platforms shine. They provide an array of tools, from big data analytics and machine learning models to robust databases, simplifying the storage and analysis of scraped data.
- With the cloud, companies can delve into advanced analytics on their scraped data, free from the constraints of local storage or computational limitations. Furthermore, cloud providers ensure secure and dependable data storage, a vital feature when managing sensitive or expansive datasets sourced from websites. This cloud-centric approach not only streamlines the scraping workflow but also hastens the generation of insights.
- Cloud platforms frequently integrate automation tools that enhance the web scraping experience. For instance, these solutions can autonomously schedule and execute scraping tasks, process the data, and relay it to analytics or reporting platforms. Many cloud providers extend their offerings to include integrations with other cloud services, encompassing machine learning platforms, databases, and business intelligence tools. Such automation not only conserves time and resources but also ensures fluid data transitions between scraping, storage, and analytical platforms.
- Moreover, harnessing advanced cloud features, like machine learning for data enrichment and cleansing, amplifies the value of the scraped data. This underscores cloud deployment as an indispensable asset for businesses banking on real-time data insights.
Asia Pacific is Expected to Witness a High Market Growth Rate
- The Asia Pacific region is poised for rapid growth in the web scraping market due to high digital adoption rates, an expanding e-commerce landscape, increasing reliance on data analytics, and government-driven initiatives supporting technological innovation.
- The Asia-Pacific (APAC) region, including countries like China, India, Japan, South Korea, and various Southeast Asian nations, is undergoing a rapid digital transformation. This swift adoption of digital technologies is increasing the volume of data available on the internet. As e-commerce, mobile applications, and digital platforms gain traction, the demand for web scraping intensifies, enabling businesses to collect, monitor, and analyze data from a myriad of online sources.
- With a shift towards digital platforms, businesses across APAC are generating vast amounts of data. This data is crucial for competitive intelligence, market research, and insights into consumer behavior. The region's heightened internet penetration and online engagement create a fertile environment for web scraping solutions. The e-commerce landscape in APAC, particularly in countries like China, India, and Japan, is experiencing exponential growth.
- Major players, including Alibaba, Amazon, and Flipkart, leverage web scraping to monitor product pricing, inventory levels, customer sentiments, and competitor activities. Additionally, small to medium-sized e-commerce entities use web scraping for price comparisons, competitive analyses, and demand forecasting.
- As e-commerce solidifies its presence in APAC, especially in rapidly expanding markets like India and China, the demand for web scraping tools is surging. These tools are essential for monitoring product listings, tracking competitors, and refining pricing strategies. Concurrently, businesses in APAC are accelerating their adoption of big data analytics, seeking to harness vast data reservoirs for actionable insights and informed decision-making. In this data-centric landscape, web scraping emerges as a crucial instrument, facilitating data collection from varied online platforms, such as social media, news outlets, and financial sites. The ability to transform unstructured web data into a structured, analyzable format is paramount for regional organizations.
- Investment in AI and machine learning technologies is on the rise in APAC, underscoring the region's data-centric focus. These technologies, which are making inroads across sectors like healthcare, finance, and manufacturing, depend on robust data for model training and insight generation. Web scraping plays a pivotal role, supplying these AI/ML systems with expansive, structured datasets sourced from websites, social media, and beyond. As AI-driven applications proliferate across diverse industries in APAC, the demand for web scraping tools to amass requisite data is witnessing a notable increase.
Web Scraping Industry Overview
The web scraping market is highly fragmented, with global and local conglomerates and specialized players operating across various segments. While several large multinational companies dominate specific high-value segments, numerous regional and niche players contribute to the overall competition, making the market highly diverse. This fragmentation is driven by the demand for web scraping across a wide range of end-user verticals, allowing both large and small companies to coexist and thrive in the market.
Leading companies in the web scraping market include Phantom Buster, Mozenda, Inc., Hangzhou Duosuan Technology, SysNucleus, Octopus Data Inc., Newprosoft, Diffbot Technologies, Sequentum, PilotFish, and Datopian. These companies have established strong brand recognition and extensive global operations, enabling them to command significant market share. Their strengths lie in innovation, broad product portfolios, and strong distribution networks. These leaders often engage in strategic acquisitions.
Vendors offer software-as-a-service (SaaS) models with subscription-based pricing. Cloud services integrate with other cloud platforms for seamless data storage, processing, and analysis. Features like automatic updates, scalability, and easy integrations with big data platforms further enhance the value proposition.
Web Scraping Market Leaders
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Phantom Buster
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Octopus Data Inc.
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Mozenda, Inc.
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SysNucleus
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Sequentum
*Disclaimer: Major Players sorted in no particular order
Web Scraping Market News
- November 2024: Oxylabs' introduction of OxyCopilot brings a new dimension to web scraping, offering a tool designed to address the increasing demand for efficient and accurate data collection. Web scraping plays a critical role in industries ranging from market research to e-commerce, and OxyCopilot aims to simplify this process, making it accessible even for complex or large-scale projects. The tool combines a user-friendly design with flexible options, enabling users to extract data efficiently from any website, no matter how intricate its structure. By supporting methods such as HTML parsing, XPath, and CSS selectors, OxyCopilot gives users the freedom to choose the most suitable approach for their specific requirements.
- September 2024: Apify, the cloud platform for developing and running web scraping solutions, is excited to announce the launch of Crawlee for Python, a web scraping and browser automation library that helps users build fast and reliable crawlers. Crawlee was created by a team of experts who scrape for a living and extract data from millions of web pages daily. Building upon the original Crawlee for Node.js, launched in 2022, Crawlee for Python offers an open-source solution that simplifies web crawler development.
Web Scraping Market Report - Table of Contents
1. INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET INSIGHTS
4.1 Market Overview
4.2 Industry Attractiveness - Porter's Five Forces Analysis
4.2.1 Threat of New Entrants
4.2.2 Bargaining Power of Buyers/Consumers
4.2.3 Bargaining Power of Suppliers
4.2.4 Threat of Substitute Products
4.2.5 Intensity of Competitive Rivalry
4.3 Impact of COVID-19 Aftereffects and Other Macroeconomic Factors on the Market
5. MARKET DYNAMICS
5.1 Market Drivers
5.1.1 Growth of E-Commerce and Online Marketplaces
5.1.2 Advancements in AI and Machine Learning
5.2 Market Restraints
5.2.1 Legal and Ethical Concerns
5.2.2 High Costs and Technical Complexity
6. MARKET SEGMENTATION
6.1 By Solution
6.1.1 Software
6.1.2 Services
6.2 By Deployment Type
6.2.1 Cloud
6.2.2 On-premise
6.3 By End-user
6.3.1 BFSI
6.3.2 Retail and e-Commerce
6.3.3 Real Estate
6.3.4 Manufacturing
6.3.5 Government
6.3.6 Healthcare
6.3.7 Advertising and Media
6.3.8 Others
6.4 By Geography***
6.4.1 North America
6.4.2 Europe
6.4.3 Asia
6.4.4 Australia and New Zealand
6.4.5 Middle East and Africa
6.4.6 Latin America
7. COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 Phantom Buster
7.1.2 Mozenda, Inc.
7.1.3 SysNucleus
7.1.4 Octopus Data Inc.
7.1.5 Newprosoft
7.1.6 Diffbot Technologies
7.1.7 Sequentum
7.1.8 PilotFish
7.1.9 Datopian
- *List Not Exhaustive
8. INVESTMENT ANALYSIS
9. FUTURE OUTLOOK OF THE MARKET
Web Scraping Industry Segmentation
Web scraping is the automated extraction of data from websites and online sources. This data, whether structured or unstructured, serves various purposes, including market research, lead generation, content aggregation, price comparison, and sentiment analysis.
The study tracks the revenue accrued through the sale of the web scraping solutions by various players across the globe. The study also tracks the key market parameters, underlying growth influencers, and major vendors operating in the industry, which supports the market estimations and growth rates over the forecast period. The study further analyses the overall impact of COVID-19 aftereffects and other macroeconomic factors on the market. The report’s scope encompasses market sizing and forecasts for the various market segments.
The web scraping market is segmented by solution (software and services), deployment type (cloud and on-premise), end-user (BFSI, retail and e-commerce, real estate, manufacturing, government, healthcare, advertising and media, and others), and geography (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The market sizes and forecasts regarding value (USD) for all the above segments are provided.
| By Solution | |
| Software | |
| Services |
| By Deployment Type | |
| Cloud | |
| On-premise |
| By End-user | |
| BFSI | |
| Retail and e-Commerce | |
| Real Estate | |
| Manufacturing | |
| Government | |
| Healthcare | |
| Advertising and Media | |
| Others |
| By Geography*** | |
| North America | |
| Europe | |
| Asia | |
| Australia and New Zealand | |
| Middle East and Africa | |
| Latin America |
Web Scraping Market Research FAQs
How big is the Web Scraping Market?
The Web Scraping Market size is expected to reach USD 0.9 billion in 2024 and grow at a CAGR of 14.20% to reach USD 1.74 billion by 2029.
What is the current Web Scraping Market size?
In 2024, the Web Scraping Market size is expected to reach USD 0.9 billion.
Who are the key players in Web Scraping Market?
Phantom Buster, Octopus Data Inc., Mozenda, Inc., SysNucleus and Sequentum are the major companies operating in the Web Scraping Market.
Which is the fastest growing region in Web Scraping Market?
Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029).
Which region has the biggest share in Web Scraping Market?
In 2024, the Asia Pacific accounts for the largest market share in Web Scraping Market.
What years does this Web Scraping Market cover, and what was the market size in 2023?
In 2023, the Web Scraping Market size was estimated at USD 0.77 billion. The report covers the Web Scraping Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Web Scraping Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.
Web Scraping Industry Report
Statistics for the 2024 Web Scraping market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Web Scraping analysis includes a market forecast outlook for 2024 to 2029 and historical overview. Get a sample of this industry analysis as a free report PDF download.
