Altosight | AI Custom Web Scraping Data

✦ Altosight provides global web scraping data services with AI-powered technology that bypasses CAPTCHAs, blocking mechanisms, and handles dynamic content.

We extract data from marketplaces like Amazon, aggregators, e-commerce, and real estate websites, ensuring comprehensive and accurate results.

✦ Our solution offers free unlimited data points across any project, with no additional setup costs.

We deliver data through flexible methods such as API, CSV, JSON, and FTP, all at no extra charge.

― Key Use Cases ―

➤ Price Monitoring & Repricing Solutions

🔹 Automatic repricing, AI-driven repricing, and custom repricing rules 🔹 Receive price suggestions via API or CSV to stay competitive 🔹 Track competitors in real-time or at scheduled intervals

➤ E-commerce Optimization

🔹 Extract product prices, reviews, ratings, images, and trends 🔹 Identify trending products and enhance your e-commerce strategy 🔹 Build dropshipping tools or marketplace optimization platforms with our data

➤ Product Assortment Analysis

🔹 Extract the entire product catalog from competitor websites 🔹 Analyze product assortment to refine your own offerings and identify gaps 🔹 Understand competitor strategies and optimize your product lineup

➤ Marketplaces & Aggregators

🔹 Crawl entire product categories and track best-sellers 🔹 Monitor position changes across categories 🔹 Identify which eRetailers sell specific brands and which SKUs for better market analysis

➤ Business Website Data

🔹 Extract detailed company profiles, including financial statements, key personnel, industry reports, and market trends, enabling in-depth competitor and market analysis

🔹 Collect customer reviews and ratings from business websites to analyze brand sentiment and product performance, helping businesses refine their strategies

➤ Domain Name Data

🔹 Access comprehensive data, including domain registration details, ownership information, expiration dates, and contact information. Ideal for market research, brand monitoring, lead generation, and cybersecurity efforts

➤ Real Estate Data

🔹 Access property listings, prices, and availability 🔹 Analyze trends and opportunities for investment or sales strategies

― Data Collection & Quality ―

► Publicly Sourced Data: Altosight collects web scraping data from publicly available websites, online platforms, and industry-specific aggregators

► AI-Powered Scraping: Our technology handles dynamic content, JavaScript-heavy sites, and pagination, ensuring complete data extraction

► High Data Quality: We clean and structure unstructured data, ensuring it is reliable, accurate, and delivered in formats such as API, CSV, JSON, and more

► Industry Coverage: We serve industries including e-commerce, real estate, travel, finance, and more. Our solution supports use cases like market research, competitive analysis, and business intelligence

► Bulk Data Extraction: We support large-scale data extraction from multiple websites, allowing you to gather millions of data points across industries in a single project

► Scalable Infrastructure: Our platform is built to scale with your needs, allowing seamless extraction for projects of any size, from small pilot projects to ongoing, large-scale data extraction

― Why Choose Altosight? ―

✔ Unlimited Data Points: Altosight offers unlimited free attributes, meaning you can extract as many data points from a page as you need without extra charges

✔ Proprietary Anti-Blocking Technology: Altosight utilizes proprietary techniques to bypass blocking mechanisms, including CAPTCHAs, Cloudflare, and other obstacles. This ensures uninterrupted access to data, no matter how complex the target websites are

✔ Flexible Across Industries: Our crawlers easily adapt across industries, including e-commerce, real estate, finance, and more. We offer customized data solutions tailored to specific needs

✔ GDPR & CCPA Compliance: Your data is handled securely and ethically, ensuring compliance with GDPR, CCPA and other regulations

✔ No Setup or Infrastructure Costs: Start scraping without worrying about additional costs. We provide a hassle-free experience with fast project deployment

✔ Free Data Delivery Methods: Receive your data via API, CSV, JSON, or FTP at no extra charge. We ensure seamless integration with your systems

✔ Fast Support: Our team is always available via phone and email, resolving over 90% of support tickets within the same day

― Custom Projects & Real-Time Data ―

✦ Tailored Solutions: Every business has unique needs, which is why Altosight offers custom data projects. Contact us for a feasibility analysis, and we’ll design a solution that fits your goals

✦ Real-Time Data: Whether you need real-time data delivery or scheduled updates, we provide the flexibility to receive data when you need it. Track price changes, monitor product trends, or gather...

Description

ISBNdb.com project is a database of books in different languages providing on-line and remote research tools for individuals, librarians, scientists, etc. ISBNDb takes data data from hundreds of libraries across the world.

Has historical book price data: http://isbndb.com/d/news/20060728154603.html

Openness

• Access:
  • Data dump: no
  • Web API: yes
• License: You are allowed (and encouraged) to access data for free via the web api but no explicit license is provided and it is not clear what level of use, reuse or redistribution would be permitted. Also would have concerns about data given that is sourced (via web-scraping) from elsewhere (see below for more details).

Conclusion: Semi-Open and awaiting clarification.

Data Sources

From http://isbndb.com/faq.html

How do you get the data?

ISBNdb.com gets the data in a unique way - it scans libraries all across the world for book information. The scanning is random and similar in a way to how general purpose web search engines scan web sites.

Scanned results are then parsed and stored in a searcheable and browseable database that you see here on ISBNdb.com. An attempt is made at cross-indexing the database by author, publisher, category and so on. Cross indexing is still a work in progress and is likely to improve as the time goes on.

For each book you can see records received for it from different libraries, you can download original MARC record for the book as it was returned by the library.

Another interesting feature is 'Books on the Same Shelf' -- it allows to quickly look up similar books in the same way they would be placed in a real world library. Currently, two classification systems are supported -- Dewey Decimal Classification (trademark of OCLC) and Library of Congress Classification.

Starting late 2004 we also started scanning book merchants for best book prices. You will see best prices for new and used copies on all book pages below the left menu in most cases fraction of a second after you load the book data. Active and historic prices are also available through the data access API.

We offer three easy-to-understand packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

Bronze

The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD options prices sourced from OPRA.

When you’re ready for launch, it’s a seamless transition to our Silver package for delayed options prices, Greeks and implied volatility, and unusual options activity, plus delayed equity prices.

• Latest EOD OPRA options prices

Exchange Fees & Requirements:

This package requires no paperwork or exchange fees.

Bronze Benefits:

• Web API access
• 300 API calls/minute limit
• File downloads
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Silver

The Silver package is ideal for clients that want delayed options data for their platform, or for startups in the development and testing phase. You’ll get 15-minute delayed options data, Greeks, implied volatility, and unusual options activity, plus the latest EOD options prices and delayed equity prices.

You can easily move up to the Gold package for real-time options and equity prices, additional access methods, and premium support options.

• 15-minute delayed OPRA options prices, Greeks & IV
• 15-minute delayed OPRA unusual options activity
• Latest EOD OPRA options prices
• 15-minute delayed equity prices
• Underlying security reference data

Exchange Fees & Requirements:

If you subscribe to the Silver package and will not display the data outside of your firm, you’ll need to fill out a simplified exchange agreement and send it back to us. There are no exchange fees and we can provide immediate access to the data.

If you subscribe to the Silver package and will display the data outside of your firm, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is not required, so there are no variable per user fees.

Silver Benefits:

• Assistance with OPRA paperwork
• Web API access
• 2,000 API calls/minute limit
• File downloads
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Concierge customer success team
• Comarketing & promotional initiatives

Gold

The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers real-time options prices, Greeks and implied volatility, and unusual options activity, as well as the latest EOD options prices and real-time equity prices.

You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

• Real-time OPRA options prices, Greeks & IV
• Real-time OPRA unusual options activity
• Latest EOD OPRA options prices
• Real-time equity prices
• Underlying security reference data

Exchange Fees & Requirements:

If you subscribe to the Gold package, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is required, with an associated variable per user fee.

Gold Benefits:

• Assistance with OPRA paperwork
• Web API access
• 2,000 API calls/minute limit
• WebSocket access (additional fee)
• Customizable access methods (Snowflake, FTP, etc.)
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Concierge customer success team
• Comarketing & promotional initiatives
• Access to engineering team

Platinum

Don’t see a package that fits your needs? Our team can design a premium custom package for your business.

PredictLeads Key Customers Data provides essential business intelligence by analyzing company relationships, uncovering vendor partnerships, client connections, and strategic affiliations through advanced web scraping and logo recognition. This dataset captures business interactions directly from company websites, offering valuable insights into market positioning, competitive landscapes, and growth opportunities.

Use Cases:

✅ Account Profiling – Gain a 360-degree customer view by mapping company relationships and partnerships. ✅ Competitive Intelligence – Track vendor-client connections and business affiliations to identify key industry players. ✅ B2B Lead Targeting – Prioritize leads based on their business relationships, improving sales and marketing efficiency. ✅ CRM Data Enrichment – Enhance company records with detailed key customer data, ensuring data accuracy. ✅ Market Research – Identify emerging trends and industry networks to optimize strategic planning.

Key API Attributes:

• id (string, UUID) – Unique identifier for the company connection.
• category (string) – Type of relationship (e.g., vendor, client, partner).
• source_category (string) – Where the connection was detected (e.g., partner page, case study).
• source_url (string, URL) – Website where the relationship was found.
• individual_source_url (string, URL) – Specific page confirming the connection.
• context (string) – Extracted description of the business relationship (e.g., "Company X - partners with Company Y to enhance payment processing").
• first_seen_at (ISO 8601 date-time) – Date the connection was first detected.
• last_seen_at (ISO 8601 date-time) – Most recent confirmation of the relationship.
• company1 & company2 (objects) – Details of the two connected companies, including:
• - domain (string) – Company website domain.
• - company_name (string) – Official company name.
• - ticker (string, nullable) – Stock ticker, if available.

📌 PredictLeads Key Customers Data is an indispensable tool for B2B sales, marketing, and market intelligence teams, providing actionable relationship insights to drive targeted outreach, competitor tracking, and strategic decision-making.

PredictLeads Docs: https://docs.predictleads.com/v3/guide/connections_dataset

The API Monetization Platform market is experiencing robust growth, driven by the increasing adoption of APIs across various industries and the need for businesses to generate revenue from their API assets. The market, estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 25% through 2033, reaching approximately $25 billion by the end of the forecast period. This expansion is fueled by several key factors, including the rise of microservices architecture, the growing demand for real-time data integration, and the increasing sophistication of API management tools. Major players like Amazon Web Services, Google, Microsoft, and IBM are driving innovation and market penetration through their comprehensive platform offerings, fostering a competitive yet dynamic landscape. Furthermore, the emergence of innovative monetization models, such as freemium and pay-as-you-go pricing, are contributing to market expansion. The market’s segmentation reflects diverse application areas, including financial services, healthcare, and e-commerce, each with unique API monetization requirements and opportunities. The restraints to growth include the challenges associated with secure API management, the complexity of pricing strategies, and the need for robust developer support. The competitive landscape is characterized by a mix of established technology giants and specialized API management providers. Established players leverage their existing infrastructure and customer base, while smaller companies focus on niche functionalities and innovative solutions. The market is witnessing strategic partnerships and mergers and acquisitions, highlighting the increasing importance of API monetization as a core revenue stream for businesses. Geographical distribution shows significant market concentration in North America and Europe, although rapidly developing economies in Asia-Pacific are emerging as significant growth drivers. The ongoing trend towards cloud-native architectures further accelerates the adoption of API monetization platforms, creating significant opportunities for innovation and market expansion in the coming years. The focus on enhancing developer experience and providing comprehensive analytics dashboards is crucial for securing market share and driving future growth.

The Web Application Firewall (WAF) and API protection market is experiencing robust growth, driven by the increasing adoption of cloud-based applications and the escalating frequency and sophistication of cyberattacks targeting web applications and APIs. The market's expansion is fueled by several key factors, including the rising need to secure sensitive data, comply with stringent industry regulations like GDPR and CCPA, and protect against increasingly prevalent threats such as DDoS attacks, SQL injection, and cross-site scripting (XSS). Small and medium-sized enterprises (SMEs) are rapidly adopting WAF and API security solutions, recognizing the vulnerability of their web assets to cyber threats. This segment is expected to show significant growth in the forecast period, driven by rising awareness of cybersecurity risks and the availability of cost-effective solutions. Large enterprises, already significant players, continue to invest heavily, focusing on advanced functionalities like bot protection and AI-driven threat detection. The market is witnessing a shift towards cloud-delivered WAFs and API protection, offering scalability, flexibility, and reduced infrastructure management costs. Geographic growth is also notable, with North America currently dominating, followed by Europe and Asia Pacific. However, growth is expected to accelerate in Asia Pacific and other developing regions due to increasing internet penetration and digital transformation initiatives. The competitive landscape is highly dynamic, with established players like Cloudflare, Akamai, and Palo Alto Networks vying for market share alongside emerging vendors offering innovative solutions. Competition is intensifying, characterized by price wars, technological innovation, and strategic partnerships. Key differentiators include advanced threat detection capabilities, ease of deployment, integration with existing security infrastructure, and superior customer support. The market is projected to continue its strong growth trajectory, propelled by the ever-increasing reliance on web applications and APIs across all sectors. While challenges such as cost of implementation and skilled cybersecurity personnel shortages exist, the inherent value proposition of WAFs and API protection ensures consistent market expansion. Future growth will likely be influenced by the evolution of attack techniques, advancements in AI and machine learning for threat detection, and the rising adoption of serverless architectures.

DataForSEO will land you with accurate data for a SERP monitoring solution. In particular, our SERP API provides data from:

• Google Organic search, Maps, News, and Images tabs in vertical search
• Bing Organic and Local Pack search
• Yahoo, Yandex, Baidu, and Naver search

For each of the search engines, we support all possible locations. You can set any keyword, location, and language, as well as define additional parameters, e.g. time frame, category, number of results.

You can set the device and the OS that you want to obtain SERP results for. We support Android/iOS for mobile and Windows/macOS for desktop.

We can supply you with all organic, paid, and extra Google SERP elements, including featured snippet, answer box, knowledge graph, local pack, map, people also ask, people also search, and more.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

PO.DAAC provides several ways to discover and access physical oceanography data, from the PO.DAAC Web Portal to FTP access to front-end user interfaces (see http://podaac.jpl.nasa.gov). That same data can also be discovered and accessed through PO.DAAC Web Services, enabling efficient machine-to-machine communication and data transfers.

California Sales and Use Tax Rate REST API

The global scalable API management platform market is experiencing robust growth, driven by the increasing adoption of cloud computing, microservices architecture, and the burgeoning digital economy. The market's expansion is fueled by the need for organizations, both large enterprises and SMEs, to efficiently manage and secure their APIs, enabling seamless integration of applications and data across diverse platforms. The shift towards multi-cloud and hybrid cloud environments further intensifies this demand, as businesses seek flexible and scalable solutions to manage their API landscape across various cloud providers. Key players like Amazon Web Services, Google, Microsoft, and others are actively innovating and expanding their offerings in this space, leading to increased competition and continuous improvement in platform capabilities. This competitive landscape benefits end-users through enhanced features, improved pricing models, and greater choice. The market's growth is particularly strong in regions with advanced digital infrastructure and a high concentration of technology companies, such as North America and Asia Pacific. However, challenges such as security concerns, integration complexities, and the need for skilled professionals to manage these platforms can act as potential restraints to growth. Nevertheless, the overall market outlook remains highly positive, with a projected continued expansion throughout the forecast period (2025-2033). Growth will be driven primarily by the increasing adoption of digital transformation initiatives across industries and the sustained demand for secure and efficient API management solutions. While precise market sizing data was not provided, it's reasonable to assume a 2025 market size of approximately $15 billion based on the general market dynamics and the involvement of major tech players. Considering a conservative CAGR of 15% (a common rate for high-growth tech sectors), the market could reach approximately $35 billion by 2033. This growth would be influenced by factors such as increasing API adoption across various sectors (finance, healthcare, e-commerce), expanding adoption of API security features, and the continued development of advanced API management capabilities. Geographical distribution of the market will reflect technological advancements and digital transformation across various regions, with North America and Asia-Pacific maintaining substantial market share due to their advanced technological infrastructure and large tech hubs.

The API penetration testing tool market is experiencing robust growth, driven by the increasing adoption of APIs across various industries and the escalating need to secure these critical digital assets. The market's expansion is fueled by several key factors: the rising prevalence of cloud-based applications and microservices architectures, which inherently increase the attack surface; a growing awareness of API security vulnerabilities and their potential for significant data breaches and financial losses; and the increasing sophistication of API-focused attacks. The market is segmented by application (SMEs and large enterprises) and deployment type (cloud-based and on-premises), with cloud-based solutions witnessing faster growth due to their scalability and cost-effectiveness. While North America currently holds a significant market share, regions like Asia-Pacific are exhibiting rapid expansion, driven by increasing digitalization and investment in cybersecurity infrastructure. The competitive landscape is characterized by a mix of established players and emerging startups offering diverse solutions, ranging from automated scanning tools to more comprehensive penetration testing platforms. This competitive dynamic fosters innovation and drives down prices, making these tools accessible to a broader range of organizations. The restraints to market growth primarily include the complexity of API security testing, the shortage of skilled cybersecurity professionals capable of effectively utilizing these tools, and the initial investment costs associated with implementation and training. However, these challenges are being addressed through the development of user-friendly tools with intuitive interfaces, increased availability of training resources, and the emergence of managed security service providers (MSSPs) offering API penetration testing as a service. Future market growth is projected to remain strong, driven by continuous technological advancements, expanding regulatory compliance requirements (e.g., GDPR, CCPA), and heightened awareness of the financial and reputational consequences of API security breaches. The market is poised for sustained growth throughout the forecast period, with a projected CAGR of approximately 15% (a reasonable estimate based on the rapid adoption of cloud technologies and increasing cybersecurity concerns). This implies a significant expansion of market size from an estimated $2 billion in 2025 to well over $5 billion by 2033.

Comparison of Price: USD per 1M Tokens; Lower is better by Provider

Official Course URL: udemy.com/course/django-rest-framework/ Course Overview: This comprehensive course will guide you from basics to advanced concepts of Django REST Framework (DRF), enabling you to build professional-grade REST APIs. Through hands-on projects, including an IMDB API clone, you ll master essential DRF concepts and tools. What You ll Learn: - API Basics: Understand REST API fundamentals and DRF s core functionality. - CRUD Operations: Build and manage resources effectively. - Advanced DRF Concepts: Implement permissions, throttling, pagination, and filtering. - Hands-On Projects: Create an IMDB API clone and practice API testing with Postman. Course Benefits: - Beginner-Friendly: Start with fundamental API concepts, no advanced experience needed. - Real-World Applications: Build APIs for web and mobile app backends. - Professional Skills: Master authentication methods like Token and JWT. - Complete DRF Mastery: Gain in-depth knowledge through official documentation and

OpenWeb Ninja's Product Data API provides Product Data, Product Reviews Data, Product Offers, sourced in real-time from Google Shopping - the largest product listings aggregate on the web, listing products from all publicly available e-commerce sites (Amazon, eBay, Walmart + many others).

The API covers more than 35 billion Product Data Listings, including Product Reviews and Product Offers across the web. The API provides over 40 product data points including prices, rating and reviews insights, product details and specs, typical price ranges, and more.

OpenWeb Ninja's Product Data common use cases: - Price Optimization & Price Comparison - Market Research & Competitive Analysis - Product Research & Trend Analysis - Customer Reviews Analysis

OpenWeb Ninja's Product Data Stats & Capabilities: - 35B+ Product Listings - 40+ data points per job listing - Global aggregate - Search by keyword or GTIN/EAN

The data scraping software market is experiencing robust growth, driven by the increasing demand for real-time data insights across various sectors. The market, estimated at $2 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $6 billion by 2033. This growth is fueled by several key factors. Firstly, businesses are increasingly reliant on data-driven decision-making, necessitating efficient and scalable methods for data acquisition. Secondly, the proliferation of unstructured data online presents a significant opportunity for data scraping software to extract valuable insights. Finally, advancements in artificial intelligence (AI) and machine learning (ML) are enhancing the capabilities of data scraping tools, enabling more sophisticated data extraction and analysis. The market is segmented by software type (cloud-based, on-premise), application (web scraping, social media scraping, e-commerce scraping), and industry (marketing & advertising, finance, research & development). Competition in the market is intense, with a diverse range of players offering varying levels of functionality and pricing. Established companies like BrightData and Zyte compete with smaller, more specialized providers such as ParseHub and ScrapingBee. The competitive landscape is characterized by continuous innovation, with companies focusing on enhancing their offerings with AI/ML capabilities, improved data accuracy, and compliance with evolving data privacy regulations. Future growth will be shaped by factors such as increasing data volume, evolving privacy regulations (like GDPR and CCPA), the demand for ethical data scraping practices, and the rising adoption of no-code/low-code platforms for data extraction. These factors are expected to drive both market expansion and a greater focus on responsible data scraping techniques.

We offer web activity data of users that are browsing popular websites around the world. This data can be used to analyze web behavior across the web and build highly accurate audience segments based on web activity for targeting ads based on interest categories and search/browsing intent.

Web Data Reach: Our reach data represents the total number of data counts available within various categories and comprises attributes such as Country, Anonymous ID, IP addresses, Search Query, and so on.

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method at a suitable interval (daily/weekly/monthly).

Data Attributes: Anonymous_id IDType Timestamp Estid Ip userAgent browserFamily deviceType Os Url_metadata_canonical_url Url_metadata_raw_query_params refDomain mappedEvent Channel searchQuery Ttd_id Adnxs_id Keywords Categories Entities Concepts

Use Cases: Personalized Targeting Targeting audiences with data enables deeper personalization and higher engagement rates Data Enrichment Leverage Online to Offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment. Market Intelligence Study various market areas, the proximity of points or interests and the competitive landscape. Fraud & Cybersecurity Use the power of multiple alternative data sources to identify fraudulent behavior across digital channels

Table of INEBase Sales via own website standard variable error, by different layers. National. Survey on the Use of Information and Communication Technologies and Electronic Commerce in Companies

The Web Design Services industry has faced mixed operating conditions over the past few years. Businesses and government sectors have spent more on web design services as users have become more reliant on online activities, including social media and online shopping. Steady growth in the number of businesses operating in Australia has benefited companies providing web design services, as their largest market is small-to-medium enterprises. Demand from online shopping has expanded rapidly, encouraging businesses, especially retailers, to upgrade websites to provide seamless customer experiences online and at bricks-and-mortar stores. While many consumers continue to enjoy the convenience of online shopping, some consumers have returned to shopping at the traditional bricks-and-mortar stores since pandemic-related restrictions were removed in October 2022, hampering online shopping demand and industry revenue. Still, heavy reliance on the internet has benefited web design service providers. Overall, industry revenue is expected to dip by an annualised 0.2% over the five years through 2024-25, to $1.4 billion. Competition against international web design service providers has intensified. Overseas developers have advantages in providing competitive prices, encouraging clients to use offshore web development teams to reduce costs. This trend has subdued revenue for local providers. Nonetheless, greater smartphone penetration and online usage have supported sales. The heightened need for superior website designs with enhanced user experience, including fast-loading and easily navigable websites, has propped up demand. Technological advancements, like using AI and machine learning for efficiencies, have helped web design service providers to improve profitability. Revenue is anticipated to edge upwards by 1.1% in 2024-25 as digitalisation trends encourage users to spend more on web design services. The Web Design Services industry’s outlook is positive. Consistent growth in internet subscribers and the number of businesses will benefit web designers as clients spend more to improve their online presence. Demand from cloud hosting and data processing services is set to expand business opportunities for web designers. Even so, downstream clients like large corporations may continue to exert pressure on local providers as they seek to move services in-house or offshore. Revenue is forecast to climb at an annualised 4.5% through the end of 2029-30, totalling $1.8 billion.

Shared Web Hosting Service Market Outlook

The global shared web hosting service market size is projected to grow from USD 20 billion in 2023 to USD 35 billion by 2032, exhibiting a compound annual growth rate (CAGR) of approximately 6.5% during the forecast period. This steady expansion is driven by the increasing digitalization of businesses and the rising demand for cost-effective web hosting solutions. The growth factor is attributed to the proliferation of small and medium enterprises (SMEs) seeking to establish an online presence without incurring high costs. Furthermore, the simplicity and user-friendliness of shared web hosting services make them an attractive option for individuals and businesses aiming to create a functional website quickly and efficiently.

The growth of e-commerce and the surge in demand for online platforms have significantly contributed to the market's expansion. With more consumers preferring online shopping, businesses are compelled to maintain functional and attractive websites, driving the demand for shared web hosting services. Additionally, the increasing penetration of the internet, even in remote areas, is encouraging more small businesses and entrepreneurs to go online, further propelling market growth. Moreover, advancements in technology have enabled hosting providers to offer enhanced security and more features at competitive prices, making shared hosting an appealing choice for many.

Another significant growth factor is the shift towards digital marketing strategies by businesses of all sizes. As companies aim to enhance their digital footprint, the need for reliable web hosting services becomes crucial. Shared web hosting offers an affordable entry-point for businesses to launch their websites and digital marketing campaigns. Furthermore, the increasing trend of content creation and personal branding has led individuals to create personal websites and blogs, which often rely on shared hosting services for their cost-effectiveness and ease of use. This shift is also supported by the rise of social media influencers and freelancers who require personal websites for portfolio display and client interactions.

The market is also driven by the growing trend of startups and entrepreneurship, particularly in the technology and creative sectors. As startups often operate with limited budgets, shared web hosting emerges as a practical solution to maintain an online presence without significant financial outlay. The service's scalability allows these businesses to upgrade their hosting plans as they grow, providing a seamless transition from small-scale operations to more extensive online requirements. Moreover, increasing awareness about the benefits of having an online presence is encouraging more entrepreneurs to invest in web hosting services, contributing to the market's expansion.

As businesses continue to evolve in the digital landscape, many are turning to Virtual Private Servers (VPS) Web Hosting Services as a viable alternative to traditional shared hosting. VPS hosting provides a middle ground between shared hosting and dedicated servers, offering users more control and flexibility over their hosting environment. This type of hosting is particularly appealing to businesses that require more resources and customization options than what shared hosting can provide, but without the high costs associated with dedicated servers. With VPS hosting, businesses can enjoy dedicated resources, enhanced security, and the ability to scale their hosting needs as they grow, making it an attractive option for those looking to optimize their online operations.

Regionally, North America holds a significant share of the shared web hosting service market, primarily due to the high prevalence of digital businesses and technological advancements. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rapid digital transformation across countries like China and India, coupled with increasing internet penetration, is anticipated to drive demand for shared hosting services. In addition, the region's burgeoning e-commerce sector and the rising number of SMEs are further expected to fuel market growth. Europe, on the other hand, remains a mature market, with steady growth driven by ongoing digitalization efforts and the presence of numerous businesses across various sectors.

Type Analysis

The shared web hosting service m

Dataset

This dataset was created by Aditi Sable

Released under CC0: Public Domain

Contents