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市场调查报告书
商品编码
1559824

网页抓取软体市场 - 按类型、部署模式、最终用户、地区和竞争细分的全球产业规模、份额、趋势、机会和预测 2019-2029F

Web Scraping Software Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Type, By Deployment Mode, By End-User, By Region & Competition 2019-2029F
出版日期: | 出版商: TechSci Research | 英文 186 Pages | 商品交期: 2-3个工作天内

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简介目录

2023 年，全球网路抓取软体市场价值为8.1693 亿美元，预计在预测期内将强劲增长，到2029 年复合年增长率为14.77%。经历快速扩张。这些软体解决方案也称为网路收集或网路资料提取工具，使组织能够从网站提取、分析和利用资料，用于市场研究、竞争分析和商业情报等多种目的。线上资料来源的激增推动了市场的成长，网站、部落格、社群媒体平台和电子商务网站提供了大量有价值的资料。此外，人工智慧 (AI) 和机器学习 (ML) 技术的采用正在推动对能够从非结构化来源智慧提取和分析复杂资料的高级网路抓取解决方案的需求。儘管出现这种成长，市场仍面临资料隐私和版权侵权等法律和道德问题等挑战。组织必须应对这些挑战，以确保遵守法规和道德标准，同时利用网路抓取工具获得竞争优势并在资料驱动的业务环境中保持敏捷。

市场概况
预测期 2025-2029
2023 年市场规模 81693万美元
2029 年市场规模 188385万美元
2024-2029 年复合年增长率 14.77%
成长最快的细分市场 本地部署
最大的市场 北美洲

主要市场驱动因素

对数据驱动决策的需求不断增长

日益重视竞争情报

电子商务和线上存在的成长

主要市场挑战

法律和道德问题

动态网站结构与防抓取措施

安全措施日益复杂

主要市场趋势

人工智慧和机器学习在网路抓取中的加速采用

专注于道德和负责任的网路抓取

细分市场洞察

类型洞察

区域洞察

目录

第 1 章：服务概述

  • 市场定义
  • 市场范围
    • 涵盖的市场
    • 考虑学习的年份
    • 主要市场区隔

第 2 章：研究方法

第 3 章：执行摘要

第 4 章：COVID-19 对全球网路抓取软体市场的影响

第 5 章：客户之声

第 6 章：全球网路抓取软体市场概述

第 7 章：全球网路抓取软体市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型（通用网路爬虫、增量网路爬虫和深层网路爬虫）
    • 依部署模式（基于云端和本地）
    • 按最终用户（BFSI、零售和电子商务、房地产、政府、医疗保健等）
    • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
  • 按公司划分 (2023)
  • 市场地图

第 8 章：北美网路抓取软体市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按部署模式
    • 按最终用户
    • 按国家/地区
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 9 章：欧洲网路抓取软体市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按部署模式
    • 按最终用户
    • 按国家/地区
  • 欧洲：国家分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时

第 10 章：南美洲网路抓取软体市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按部署模式
    • 按最终用户
    • 按国家/地区
  • 南美洲：国家分析
    • 巴西
    • 哥伦比亚
    • 阿根廷
    • 智利

第 11 章：中东和非洲网页抓取软体市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按部署模式
    • 按最终用户
    • 按国家/地区
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 阿联酋
    • 南非
    • 土耳其

第 12 章：亚太地区网路抓取软体市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按部署模式
    • 按最终用户
    • 按国家/地区
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 泰国
    • 马来西亚

第 13 章：市场动态

  • 司机
  • 挑战

第 14 章：市场趋势与发展

第 15 章：公司简介

  • Octopus Data Inc.
  • Web Spiders Group
  • Mozenda, Inc
  • Zyte Group Limited
  • Ficstar Software Inc
  • QL2 Software, LLC
  • Diggernaut, LLC
  • UiPath Inc
  • Diffbot Technologies Corp.
  • Hashwave Technologies Inc

第 16 章：策略建议

简介目录
Product Code: 21491

Global Web Scraping Software Market was valued at USD 816.93 million in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 14.77% through 2029. The Web Scraping Software Market is experiencing rapid expansion fueled by escalating demand for data-driven insights across industries. Also known as web harvesting or web data extraction tools, these software solutions empower organizations to extract, analyze, and utilize data from websites for diverse purposes including market research, competitive analysis, and business intelligence. The market's growth is propelled by the proliferation of online data sources, with websites, blogs, social media platforms, and e-commerce sites providing abundant valuable data. Additionally, the adoption of artificial intelligence (AI) and machine learning (ML) technologies is driving demand for advanced web scraping solutions capable of intelligently extracting and analyzing complex data from unstructured sources. Despite this growth, the market faces challenges such as legal and ethical concerns regarding data privacy and copyright infringement. Organizations must navigate these challenges to ensure compliance with regulations and ethical standards while leveraging web scraping tools to gain competitive advantages and stay agile in the data-driven business landscape.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 816.93 Million
Market Size 2029USD 1883.85 Million
CAGR 2024-202914.77%
Fastest Growing SegmentOn-Premises
Largest MarketNorth America

Key Market Drivers

Growing Demand for Data-Driven Decision Making

In the contemporary business landscape, organizations are increasingly recognizing the value of data as a strategic asset for informed decision-making. The surge in demand for web scraping software can be attributed to the growing need to extract, analyze, and leverage data from diverse online sources. Businesses across various industries, such as e-commerce, finance, healthcare, and market research, are relying on web scraping tools to gather valuable insights, monitor competitor activities, track market trends, and make data-driven decisions.

Web scraping software provides a means to collect and process vast amounts of data from websites, enabling companies to stay ahead of the competition and respond swiftly to market changes. As businesses continue to embrace the importance of data-driven decision-making, the Global Web Scraping Software Market is poised to expand, driven by the insatiable appetite for diverse and actionable information.

Increasing Emphasis on Competitive Intelligence

In a hyper-competitive business environment, staying abreast of competitors' actions and strategies is crucial for success. Web scraping software plays a pivotal role in gathering competitive intelligence by systematically extracting data from competitor websites, product pages, pricing information, and customer reviews. Organizations utilize this information to benchmark their offerings, adjust pricing strategies, enhance product features, and identify gaps in the market that can be exploited for a competitive advantage.

The demand for web scraping tools is escalating as businesses recognize the significance of real-time and accurate competitive intelligence in shaping their market positioning and strategic decision-making. The Global Web Scraping Software Market is, therefore, being driven by the imperative need for businesses to gain a comprehensive understanding of the competitive landscape and make informed, proactive decisions to navigate the complexities of modern markets.

Growth of E-Commerce and Online Presence

The exponential growth of e-commerce and the increasing importance of an online presence have fueled the demand for web scraping software. E-commerce businesses rely heavily on data extracted from various sources, including product details, customer reviews, and pricing information, to optimize their strategies and enhance the customer experience. Web scraping tools enable e-commerce companies to gather this data at scale, providing them with a competitive edge in a dynamic and fast-paced online marketplace.

As more businesses establish and expand their online presence, the need for web scraping solutions to gather, analyze, and derive actionable insights from web data becomes more pronounced. The Global Web Scraping Software Market is experiencing a surge in demand from the e-commerce sector and other online-centric industries, driven by the essential role these tools play in extracting valuable information from the vast expanse of the internet.

Key Market Challenges

Legal and Ethical Concerns

One of the foremost challenges faced by the Global Web Scraping Software Market revolves around the legal and ethical implications associated with the extraction of data from websites. While web scraping itself is not inherently illegal, the manner in which it is conducted can raise legal concerns. Many websites explicitly prohibit or restrict automated data collection through their terms of service. Violating these terms can lead to legal consequences, including lawsuits and cease-and-desist orders.

Navigating the complex landscape of data privacy laws and regulations, such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States, poses a significant challenge for web scraping software providers. Ensuring compliance with these regulations requires sophisticated technology and a deep understanding of evolving legal frameworks. As a result, the industry faces the ongoing challenge of balancing the demand for data extraction with the need to operate within legal and ethical boundaries.

Dynamic Website Structures and Anti-Scraping Measures

The ever-evolving nature of the internet poses a considerable challenge for web scraping software developers. Websites frequently update their structures, layouts, and coding practices, making it challenging for scraping tools to adapt and extract data accurately. Dynamic content loading, client-side rendering, and anti-scraping measures implemented by websites further complicate the scraping process. These challenges can lead to inaccuracies, data gaps, or even disruptions in the functionality of web scraping software.

To overcome these hurdles, developers must continuously update their algorithms and techniques to keep pace with changes in website structures and countermeasures. This requires a substantial investment in research and development to ensure that web scraping software remains effective and reliable across diverse online platforms. The dynamic nature of the internet landscape poses an ongoing challenge for the Global Web Scraping Software Market in maintaining the accuracy and robustness of data extraction processes.

Rising Sophistication of Security Measures

As awareness of web scraping activities has increased, websites and online platforms have become more adept at implementing sophisticated security measures to thwart unauthorized data extraction. These measures include CAPTCHAs (Completely Automated Public Turing tests to tell Computers and Humans Apart), IP blocking, and other anti-bot mechanisms. The escalation in security measures poses a challenge for web scraping software providers, as they need to continually innovate and devise strategies to bypass these obstacles without violating legal and ethical standards.

Addressing the rising sophistication of security measures requires a delicate balance between enabling legitimate data extraction and respecting the autonomy of websites to protect their content. This challenge underscores the need for ongoing research and development efforts within the Global Web Scraping Software Market to stay ahead of security advancements and ensure the viability of web scraping solutions in a highly contested online environment.

Key Market Trends

Accelerated Adoption of AI and Machine Learning in Web Scraping

One prominent trend shaping the Global Web Scraping Software Market is the accelerated adoption of artificial intelligence (AI) and machine learning (ML) technologies. Traditionally, web scraping relied on rule-based approaches to extract data from websites, but the increasing complexity of web structures and the need for more accurate and adaptive solutions have led to the integration of AI and ML into scraping tools.

AI-powered web scraping software leverages machine learning algorithms to analyze and interpret website structures dynamically. This enables the software to adapt to changes in website layouts, handle dynamic content loading, and overcome anti-scraping measures more effectively. Machine learning models can learn from past scraping experiences, continuously improving their accuracy and efficiency over time. Additionally, AI-driven solutions can identify patterns, classify data, and provide more context-aware insights, making them valuable assets for businesses seeking comprehensive and actionable information.

As the demand for precise and real-time data continues to rise, the integration of AI and ML technologies in web scraping software is expected to be a defining trend. This trend not only enhances the capabilities of web scraping tools but also reflects the industry's commitment to innovation and adaptability in the face of evolving online landscapes.

Focus on Ethical and Responsible Web Scraping

An emerging trend in the Global Web Scraping Software Market is the increasing emphasis on ethical and responsible web scraping practices. With growing concerns about data privacy, security, and legal compliance, businesses and web scraping software providers are proactively addressing these issues to build trust and credibility in the industry.

Ethical web scraping involves respecting the terms of service of websites, obtaining the required permissions, and ensuring compliance with relevant data protection regulations. As awareness of privacy rights and data governance grows, businesses are recognizing the importance of ethical data practices not only to avoid legal repercussions but also to uphold their reputation and maintain positive relationships with data sources.

Web scraping software providers are responding to this trend by incorporating features that promote ethical scraping, such as user-agent rotation to mimic human behavior, CAPTCHA-solving mechanisms, and adherence to robots.txt directives. Additionally, some providers offer tools that enable users to monitor and control the frequency of their scraping activities to avoid disrupting the normal functioning of websites.

This trend reflects a broader shift toward responsible data practices in the digital era. As businesses become more conscious of the ethical implications of data extraction, the Global Web Scraping Software Market is witnessing a trend towards the development and adoption of tools that prioritize ethical considerations, aligning with the evolving expectations of users and regulatory authorities.

Segmental Insights

Type Insights

The General-Purpose Web Crawlers segment emerged as the dominating segment in 2023. General-Purpose Web Crawlers are characterized by their adaptability and broad applicability across various industries and use cases. Unlike specialized web scraping tools that focus on extracting specific types of data from designated websites, general-purpose crawlers are designed to handle a wide array of websites and content structures. This versatility makes them a go-to solution for businesses and researchers with diverse data needs.

Industries such as e-commerce, finance, market research, and academia benefit from the flexibility of general-purpose crawlers. These tools can be configured to navigate through different website structures, handle dynamic content, and extract relevant information regardless of the industry or sector. As a result, the General-Purpose Web Crawlers segment is witnessing sustained growth due to its ability to cater to a broad range of data collection requirements.

Scalability is a crucial factor driving the demand for General-Purpose Web Crawlers in the market. As businesses and research institutions seek to harness the power of big data, these crawlers offer the capability to scale up data extraction operations. Whether it's monitoring online trends, tracking market changes, or conducting large-scale research, the scalability of general-purpose crawlers allows users to efficiently extract and process vast volumes of data.

The scalability of these crawlers is particularly advantageous for enterprises dealing with extensive datasets from diverse sources. General-purpose crawlers can be configured to handle concurrent requests, manage multiple threads, and optimize crawling speed, ensuring efficient data retrieval on a large scale. The ability to scale operations while maintaining performance is a key driver for the adoption of General-Purpose Web Crawlers in industries where comprehensive data is essential for decision-making.

Regional Insights

North America emerged as the dominating region in 2023, holding the largest market share. In North America, web scraping software providers focus on integrating advanced features such as artificial intelligence, machine learning, and natural language processing to enhance the accuracy, adaptability, and usability of their tools. The emphasis on technological advancements positions North America as a key driver of innovation in the Global Web Scraping Software Market.

The adoption of web scraping software in North America spans across a wide array of industries, including finance, healthcare, e-commerce, research, and more. Businesses in these sectors recognize the value of web scraping in gaining a competitive edge, extracting market intelligence, and making informed decisions. The financial industry, in particular, utilizes web scraping for real-time market data, sentiment analysis, and investment insights.

In the healthcare sector, web scraping is employed for tracking medical research trends, monitoring pharmaceutical developments, and gathering information on healthcare providers. E-commerce companies leverage scraping tools for competitive pricing analysis, product catalog management, and market trend monitoring. This broad adoption across diverse industries contributes significantly to the growth and sustainability of the web scraping software market in North America.

As the use of web scraping becomes more widespread, North America grapples with heightened concerns related to data privacy and compliance. Stricter regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), have increased the scrutiny on how businesses collect, handle, and process data. Web scraping software providers in North America need to address these concerns by implementing features that ensure compliance with data protection regulations.

As businesses in North America become more sophisticated in their data requirements, there is a growing demand for industry-specific web scraping solutions. Companies are seeking tools that are tailored to the unique challenges and nuances of their respective sectors. This trend is pushing web scraping software providers to develop specialized solutions that cater to the specific needs of industries such as finance, healthcare, legal, and e-commerce.

The adoption of cloud-based web scraping solutions is gaining traction in North America. Cloud-based platforms offer scalability, flexibility, and accessibility, allowing businesses to efficiently scale their data extraction operations based on demand. This trend aligns with the broader movement toward cloud computing in the region, as businesses seek to leverage the benefits of cost-effectiveness, reliability, and ease of management provided by cloud-based solutions.

North American businesses are increasingly turning to cloud-based web scraping platforms to handle large-scale data extraction, accommodate fluctuating workloads, and streamline the overall data collection process. The shift towards cloud-based solutions reflects the region's commitment to embracing cutting-edge technologies that enhance efficiency and competitiveness.

North America plays a pivotal role in shaping the trajectory of the Global Web Scraping Software Market. The region's commitment to technological innovation, diverse industry landscape, and evolving regulatory environment contribute to the dynamic and competitive nature of the web scraping software market in North America. As businesses continue to prioritize data-driven decision-making, the demand for advanced web scraping solutions is expected to persist, further driving innovation and growth in this crucial market segment.

Key Market Players

Octopus Data Inc.

Web Spiders Group

Mozenda, Inc.

Zyte Group Limited

Ficstar Software Inc

QL2 Software, LLC

Diggernaut, LLC

UiPath Inc.

Diffbot Technologies Corp.

Hashwave Technologies Inc.

Report Scope:

In this report, the Global Web Scraping Software Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Web Scraping Software Market, By Type:

    General-Purpose Web Crawlers Incremental Web Crawlers Deep Web Crawlers

Web Scraping Software Market, By Deployment Mode:

    Cloud-Based On-Premises

Web Scraping Software Market, By End-User:

    BFSI Retail & E-Commerce Real Estate Government Healthcare Others

Web Scraping Software Market, By Region:

    North America
    • United States
    • Canada
    • Mexico
    Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
    • Netherlands
    • Belgium
    Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Thailand
    • Malaysia
    South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE
    • Turkey

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Web Scraping Software Market.

Available Customizations:

Global Web Scraping Software Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Services Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1.Markets Covered
    • 1.2.2.Years Considered for Study
    • 1.2.3.Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Formulation of the Scope
  • 2.4. Assumptions and Limitations
  • 2.5. Sources of Research
    • 2.5.1.Secondary Research
    • 2.5.2.Primary Research
  • 2.6. Approach for the Market Study
    • 2.6.1.The Bottom-Up Approach
    • 2.6.2.The Top-Down Approach
  • 2.7. Methodology Followed for Calculation of Market Size & Market Shares
  • 2.8. Forecasting Methodology
    • 2.8.1.Data Triangulation & Validation

3. Executive Summary

4. Impact of COVID-19 on Global Web Scraping Software Market

5. Voice of Customer

6. Global Web Scraping Software Market Overview

7. Global Web Scraping Software Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1.By Value
  • 7.2. Market Share & Forecast
    • 7.2.1.By Type (General-Purpose Web Crawlers, Incremental Web Crawlers and Deep Web Crawlers)
    • 7.2.2.By Deployment Mode (Cloud-Based and On-Premises)
    • 7.2.3.By End-User (BFSI, Retail & E-Commerce, Real Estate, Government, Healthcare and Others)
    • 7.2.4.By Region (North America, Europe, South America, Middle East & Africa, Asia-Pacific)
  • 7.3. By Company (2023)
  • 7.4. Market Map

8. North America Web Scraping Software Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1.By Value
  • 8.2. Market Share & Forecast
    • 8.2.1.By Type
    • 8.2.2.By Deployment Mode
    • 8.2.3.By End-User
    • 8.2.4.By Country
  • 8.3. North America: Country Analysis
    • 8.3.1.United States Web Scraping Software Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Type
        • 8.3.1.2.2. By Deployment Mode
        • 8.3.1.2.3. By End-User
    • 8.3.2.Canada Web Scraping Software Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Type
        • 8.3.2.2.2. By Deployment Mode
        • 8.3.2.2.3. By End-User
    • 8.3.3.Mexico Web Scraping Software Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Type
        • 8.3.3.2.2. By Deployment Mode
        • 8.3.3.2.3. By End-User

9. Europe Web Scraping Software Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1.By Value
  • 9.2. Market Share & Forecast
    • 9.2.1.By Type
    • 9.2.2.By Deployment Mode
    • 9.2.3.By End-User
    • 9.2.4.By Country
  • 9.3. Europe: Country Analysis
    • 9.3.1.Germany Web Scraping Software Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Type
        • 9.3.1.2.2. By Deployment Mode
        • 9.3.1.2.3. By End-User
    • 9.3.2.France Web Scraping Software Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Type
        • 9.3.2.2.2. By Deployment Mode
        • 9.3.2.2.3. By End-User
    • 9.3.3.United Kingdom Web Scraping Software Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Type
        • 9.3.3.2.2. By Deployment Mode
        • 9.3.3.2.3. By End-User
    • 9.3.4.Italy Web Scraping Software Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Type
        • 9.3.4.2.2. By Deployment Mode
        • 9.3.4.2.3. By End-User
    • 9.3.5.Spain Web Scraping Software Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Type
        • 9.3.5.2.2. By Deployment Mode
        • 9.3.5.2.3. By End-User
    • 9.3.6.Netherlands Web Scraping Software Market Outlook
      • 9.3.6.1. Market Size & Forecast
        • 9.3.6.1.1. By Value
      • 9.3.6.2. Market Share & Forecast
        • 9.3.6.2.1. By Type
        • 9.3.6.2.2. By Deployment Mode
        • 9.3.6.2.3. By End-User
    • 9.3.7.Belgium Web Scraping Software Market Outlook
      • 9.3.7.1. Market Size & Forecast
        • 9.3.7.1.1. By Value
      • 9.3.7.2. Market Share & Forecast
        • 9.3.7.2.1. By Type
        • 9.3.7.2.2. By Deployment Mode
        • 9.3.7.2.3. By End-User

10. South America Web Scraping Software Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Type
    • 10.2.2. By Deployment Mode
    • 10.2.3. By End-User
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Web Scraping Software Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Type
        • 10.3.1.2.2. By Deployment Mode
        • 10.3.1.2.3. By End-User
    • 10.3.2. Colombia Web Scraping Software Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Type
        • 10.3.2.2.2. By Deployment Mode
        • 10.3.2.2.3. By End-User
    • 10.3.3. Argentina Web Scraping Software Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Type
        • 10.3.3.2.2. By Deployment Mode
        • 10.3.3.2.3. By End-User
    • 10.3.4. Chile Web Scraping Software Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Type
        • 10.3.4.2.2. By Deployment Mode
        • 10.3.4.2.3. By End-User

11. Middle East & Africa Web Scraping Software Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Type
    • 11.2.2. By Deployment Mode
    • 11.2.3. By End-User
    • 11.2.4. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia Web Scraping Software Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Type
        • 11.3.1.2.2. By Deployment Mode
        • 11.3.1.2.3. By End-User
    • 11.3.2. UAE Web Scraping Software Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Type
        • 11.3.2.2.2. By Deployment Mode
        • 11.3.2.2.3. By End-User
    • 11.3.3. South Africa Web Scraping Software Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Type
        • 11.3.3.2.2. By Deployment Mode
        • 11.3.3.2.3. By End-User
    • 11.3.4. Turkey Web Scraping Software Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Type
        • 11.3.4.2.2. By Deployment Mode
        • 11.3.4.2.3. By End-User

12. Asia-Pacific Web Scraping Software Market Outlook

  • 12.1. Market Size & Forecast
    • 12.1.1. By Value
  • 12.2. Market Share & Forecast
    • 12.2.1. By Type
    • 12.2.2. By Deployment Mode
    • 12.2.3. By End-User
    • 12.2.4. By Country
  • 12.3. Asia-Pacific: Country Analysis
    • 12.3.1. China Web Scraping Software Market Outlook
      • 12.3.1.1. Market Size & Forecast
        • 12.3.1.1.1. By Value
      • 12.3.1.2. Market Share & Forecast
        • 12.3.1.2.1. By Type
        • 12.3.1.2.2. By Deployment Mode
        • 12.3.1.2.3. By End-User
    • 12.3.2. India Web Scraping Software Market Outlook
      • 12.3.2.1. Market Size & Forecast
        • 12.3.2.1.1. By Value
      • 12.3.2.2. Market Share & Forecast
        • 12.3.2.2.1. By Type
        • 12.3.2.2.2. By Deployment Mode
        • 12.3.2.2.3. By End-User
    • 12.3.3. Japan Web Scraping Software Market Outlook
      • 12.3.3.1. Market Size & Forecast
        • 12.3.3.1.1. By Value
      • 12.3.3.2. Market Share & Forecast
        • 12.3.3.2.1. By Type
        • 12.3.3.2.2. By Deployment Mode
        • 12.3.3.2.3. By End-User
    • 12.3.4. South Korea Web Scraping Software Market Outlook
      • 12.3.4.1. Market Size & Forecast
        • 12.3.4.1.1. By Value
      • 12.3.4.2. Market Share & Forecast
        • 12.3.4.2.1. By Type
        • 12.3.4.2.2. By Deployment Mode
        • 12.3.4.2.3. By End-User
    • 12.3.5. Australia Web Scraping Software Market Outlook
      • 12.3.5.1. Market Size & Forecast
        • 12.3.5.1.1. By Value
      • 12.3.5.2. Market Share & Forecast
        • 12.3.5.2.1. By Type
        • 12.3.5.2.2. By Deployment Mode
        • 12.3.5.2.3. By End-User
    • 12.3.6. Thailand Web Scraping Software Market Outlook
      • 12.3.6.1. Market Size & Forecast
        • 12.3.6.1.1. By Value
      • 12.3.6.2. Market Share & Forecast
        • 12.3.6.2.1. By Type
        • 12.3.6.2.2. By Deployment Mode
        • 12.3.6.2.3. By End-User
    • 12.3.7. Malaysia Web Scraping Software Market Outlook
      • 12.3.7.1. Market Size & Forecast
        • 12.3.7.1.1. By Value
      • 12.3.7.2. Market Share & Forecast
        • 12.3.7.2.1. By Type
        • 12.3.7.2.2. By Deployment Mode
        • 12.3.7.2.3. By End-User

13. Market Dynamics

  • 13.1. Drivers
  • 13.2. Challenges

14. Market Trends and Developments

15. Company Profiles

  • 15.1. Octopus Data Inc.
    • 15.1.1. Business Overview
    • 15.1.2. Key Revenue and Financials
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel/Key Contact Person
    • 15.1.5. Key Product/Services Offered
  • 15.2. Web Spiders Group
    • 15.2.1. Business Overview
    • 15.2.2. Key Revenue and Financials
    • 15.2.3. Recent Developments
    • 15.2.4. Key Personnel/Key Contact Person
    • 15.2.5. Key Product/Services Offered
  • 15.3. Mozenda, Inc
    • 15.3.1. Business Overview
    • 15.3.2. Key Revenue and Financials
    • 15.3.3. Recent Developments
    • 15.3.4. Key Personnel/Key Contact Person
    • 15.3.5. Key Product/Services Offered
  • 15.4. Zyte Group Limited
    • 15.4.1. Business Overview
    • 15.4.2. Key Revenue and Financials
    • 15.4.3. Recent Developments
    • 15.4.4. Key Personnel/Key Contact Person
    • 15.4.5. Key Product/Services Offered
  • 15.5. Ficstar Software Inc
    • 15.5.1. Business Overview
    • 15.5.2. Key Revenue and Financials
    • 15.5.3. Recent Developments
    • 15.5.4. Key Personnel/Key Contact Person
    • 15.5.5. Key Product/Services Offered
  • 15.6. QL2 Software, LLC
    • 15.6.1. Business Overview
    • 15.6.2. Key Revenue and Financials
    • 15.6.3. Recent Developments
    • 15.6.4. Key Personnel/Key Contact Person
    • 15.6.5. Key Product/Services Offered
  • 15.7. Diggernaut, LLC
    • 15.7.1. Business Overview
    • 15.7.2. Key Revenue and Financials
    • 15.7.3. Recent Developments
    • 15.7.4. Key Personnel/Key Contact Person
    • 15.7.5. Key Product/Services Offered
  • 15.8. UiPath Inc
    • 15.8.1. Business Overview
    • 15.8.2. Key Revenue and Financials
    • 15.8.3. Recent Developments
    • 15.8.4. Key Personnel/Key Contact Person
    • 15.8.5. Key Product/Services Offered
  • 15.9. Diffbot Technologies Corp.
    • 15.9.1. Business Overview
    • 15.9.2. Key Revenue and Financials
    • 15.9.3. Recent Developments
    • 15.9.4. Key Personnel/Key Contact Person
    • 15.9.5. Key Product/Services Offered
  • 15.10. Hashwave Technologies Inc
    • 15.10.1. Business Overview
    • 15.10.2. Key Revenue and Financials
    • 15.10.3. Recent Developments
    • 15.10.4. Key Personnel/Key Contact Person
    • 15.10.5. Key Product/Services Offered

16. Strategic Recommendations