Competitive Analysis of Industry Rivals The market for competitive analysis is expected to grow significantly over the forecast period, driven by increasing need for businesses to understand their competitive landscape. Key players in the market include BuiltWith, WooRank, SEMrush, Google, SpyFu, Owletter, SimilarWeb, Moz, SunTec Data, and TrendSource. These companies offer a range of services to help businesses track their competitors' online performance, including website traffic, social media engagement, and search engine rankings. Some of the key trends driving the growth of the market include the increasing adoption of digital marketing by businesses, the growing importance of social media, and the increasing availability of data and analytics tools. The market is segmented by type, application, and region. In terms of type, the market is divided into product analysis, traffic analytics, sales analytics, and others. In terms of application, the market is divided into SMEs and large enterprises. In terms of region, the market is divided into North America, South America, Europe, Middle East & Africa, and Asia Pacific. The North American region is expected to dominate the market during the forecast period, due to the presence of a large number of established players in the market. The Asia Pacific region is expected to grow at the highest CAGR during the forecast period, due to the increasing adoption of digital marketing by businesses in the region. This report provides a comprehensive analysis of the industry rivals, encompassing their concentration, product insights, regional trends, and key industry developments.

As of January 2025, online search engine Bing accounted for 12.23 percent of the global desktop search market, while market leader Google had a share of around 78.83 percent. Meanwhile, Yahoo's market share was 3.07 percent. Google in the global market Ever since the introduction of Google Search in 1997, the company has dominated the search engine market, while the shares of all other tools has been rather lopsided. The majority of Google revenues are generated through advertising. Its parent corporation, Alphabet, was one of the biggest internet companies worldwide as of 2023, with a market capitalization of 1,6 trillion U.S. dollars. The company has also expanded its services to mail, productivity tools, enterprise products, mobile devices, and other ventures. As a result, Google earned one of the highest tech company revenues in 2023 with roughly 305.6 billion U.S. dollars. Search engine usage in different countries Google is the most frequently used search engine worldwide. But in some countries, its’ alternatives are leading or competing with it to some extent. As of the last quarter of 2023, more than 63 percent of internet users in Russia used Yandex, whereas Google users were nearly 36 percent. Meanwhile, Baidu was the most used search engine in China, despite a strong percentage decrease of internet users in the country accessing it. In other countries, like Japan and Mexico, people tend to use Yahoo along with Google. In the first quarter of 2022 nearly 56 percent of the respondents in Japan said that they had used Yahoo in the past four weeks. In the same year, over 27 percent of users in Mexico said they used Yahoo. Another search engine, Bing, operated by Microsoft, was the second most popular search engine in the United Kingdom after Google.

Customer satisfaction with internet search engines and information reached 80 out of 100 index points in the United States in 2024. Moving up from 63 index points in 2000, it is among the highest ratings ever registered for these types of platforms, a remarkable milestone considering that the global online search landscape is significantly impacted by the artificial intelligence-powered online search trend, in which generative AI tools like ChatGPT gaining significant traction among users seeking answers and information online.

The Enterprise SEO Platforms market is experiencing robust growth, driven by the increasing reliance of businesses on digital channels for customer acquisition and brand building. The market size in 2025 is estimated at $5 billion, with a Compound Annual Growth Rate (CAGR) of 15% projected from 2025 to 2033. This growth is fueled by several key factors. Firstly, the ever-increasing complexity of search engine algorithms necessitates sophisticated SEO tools capable of managing large-scale website optimization efforts. Secondly, the rise of mobile-first indexing and the growing importance of voice search are forcing companies to adopt advanced SEO strategies, which in turn fuels demand for robust enterprise-grade platforms. Finally, the need for precise measurement and reporting of SEO performance is driving adoption of platforms that offer comprehensive analytics and data visualization capabilities. The market is segmented by platform type (navigational, transactional, informational) and user application (SMEs, large enterprises), with large enterprises representing a significant portion of the market due to their higher budgets and more complex SEO needs. The competitive landscape is highly dynamic, with established players like SEMrush and Ahrefs alongside emerging specialized platforms continuously innovating to meet evolving market demands. Geographic distribution shows a strong concentration in North America and Europe, reflecting the higher digital maturity and adoption rates in these regions. However, Asia-Pacific is expected to witness significant growth in the coming years as businesses in this region increasingly invest in digital marketing strategies. The future of the Enterprise SEO Platforms market appears promising, with continued growth driven by technological advancements and evolving search engine landscapes. The increasing demand for data-driven decision-making in SEO will further propel the adoption of advanced analytical tools. Furthermore, integration with other marketing platforms, such as CRM and marketing automation systems, will become increasingly crucial for seamless workflow and data-driven campaign optimization. This necessitates the development of more integrated and user-friendly platforms, placing further pressure on vendors to innovate and provide comprehensive, value-added services. Despite these positive trends, challenges remain, including the need for greater transparency in SEO reporting and the ongoing evolution of search engine algorithms, requiring constant adaptation and platform updates.

SEO Software Market size was valued at USD 274.95 Million in 2024 and is projected to reach USD 790.95 Million by 2031, growing at a CAGR of 14.12% from 2024 to 2031.

Global SEO Software Market Drivers

Growing Importance of Online Presence: As more and more people use the internet and become more digitally literate, companies from all sectors are realizing how critical it is to have a strong online presence. SEO software helps companies become more visible on search engines, increasing brand awareness and bringing in organic traffic to their websites.

Updates to Search Engine Algorithms: In order to provide consumers with more relevant and superior search results, search engines such as Google regularly improve their algorithms. The need for SEO software, which enables companies to modify their tactics to satisfy the most recent search engine standards and preserve or raise their search ranks, is being driven by these algorithm changes.

Increasing Rivalry in Digital Marketing: As more companies engage in digital marketing, there is growing rivalry for online exposure and search engine results. In order to stay ahead of the competition, firms can use the tools and analytics provided by SEO software to analyze their rivals, spot possibilities, and improve their SEO tactics.

Concentrate on material Marketing: Since relevant, high-quality material is necessary to draw in and hold the attention of readers, content marketing is an important component of SEO. In order to help organizations generate and optimize content that appeals to their target audience, SEO software frequently includes capabilities for keyword research, content optimization, and content performance tracking.

Mobile Search Optimization: As more people browse the internet on mobile devices, businesses are placing a premium on mobile search optimization. In order to guarantee a flawless user experience and higher search ranks on mobile search results pages, SEO software provides tools and insights to optimize websites for mobile devices.

Data-driven Decision Making: SEO software gives organizations access to insightful statistics and data that help them decide on the best SEO tactics. SEO software helps organizations to assess success, spot trends, and improve their SEO strategies for greater outcomes. It does this through keyword analysis, backlink monitoring, and performance tracking, among other features.

Concentrate on Local SEO: Local SEO is crucial for drawing clients in certain regions for companies that serve local markets or have a physical presence. To assist businesses become more visible in local search results, SEO software frequently includes capabilities for local keyword research, citation management, and local business listing optimization.

Map Tools is a configurable app template that enables you to display an ArcGIS web map using a variety of tools.Use CasesDisplays a set of commonly used tools in a more traditional toolbar-driven user experience. The app includes the ability to toggle layer visibility, print a map, and view a table of attributes.Configurable OptionsThe template can be configured using the following options:Map:Choose the web map used in your application.Color Scheme: Choose between five color schemes for the application.Show Title: Choose whether to include an application title.Title Text: The application title. The default title is the web map name.Logo: Choose a custom logo for your application.Legend: Display a legend for map layers.Details: Display the web map item description.Print: Enables printing the map at the current extent. It can be configured to include a legend and supports different layout options.Layer List: Enables toggling the visibility of operational layers within the web mapBasemaps: Enables the display of the basemap gallery.Bookmarks: Enables the use of web map bookmarks for navigation.Share: Allows users to share the application with others.Search: Displays the Search box to enable navigation to addresses and places.Search for locations within current extent: Enable toggling of search within the current map extent only.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to create a web appOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

According to Cognitive Market Research, the global search engine optimization services market size was estimated at USD 45.2 billion in 2022 and will increase at a 17.90% compound annual growth rate (CAGR) from 2023 to 2030. How is Market for Search Engine Optimisation Services Being Affected by the Major Trends?

Increasing Revenues of Digital Advertising to Provide Viable Market Output

It is anticipated that in the near future, digital advertising will surpass conventional means of advertising like print, television, radio, movies, and outdoors. Advertisers are resorting to digital advertising to reach the required demographic segments as consumer viewing shifts farther away from traditional networks towards digital alternatives, creating demand for SEO services to increase website exposure and draw in online traffic. Mobile internet advertising is another industry that is expanding thanks to the growing popularity of smartphones.

Internet advertising revenue climbed from 2021 to 2022 by 10.8% (YoY) to $209.7 billion, and overall revenue increased by $20.4 billion (YoY). Ad revenues for the first half of the year exceeded $100 billion for the first time, with Q1 seeing the largest gain, up 21.1% from Q2 and Q2. Revenues fell in Q3 (8.4%) and Q4 (4.4%).

(Source:www.iab.com/news/despite-headwinds-digital-advertising-delivered-double-digit-growth-in-2022-according-to-the-iab-internet-advertising-revenue-report/)

Advertisers increasingly value deep engagement, leading to a shift in advertising budgets from traditional to digital platforms, accelerating the demand for search engine optimization services throughout the forecast term.

Affordable internet in developing countries to propel market growth

The Factors Restraining Growth of the Search Engine Optimization Services Market

Rising In-house Team And Online SEO Tools to Hinder Market Growth

Many businesses are assembling their own in-house SEO teams to meet their specific needs. The business must establish an internal SEO team and streamline the procedure as the organization grows. The in-house SEO team guarantees cost savings and quick response times for campaigns and takes into account brand objectives, data security, and resource quality as well. Additionally, it enables control over output control. Additionally, online SEO tools can be used by anyone to improve their search, negating the need to speak with a third-party search engine optimization services supplier. The expansion of the search engine optimization services market is hampered by the rise of in-house teams and the accessibility of SEO online.

Impact of COVID–19 on the Search Engine Optimisation Services Market

Nearly every business on the planet has suffered setbacks due to the pandemic. This is because numerous preventative lockdowns and other worldwide limitations imposed by regulatory bodies have seriously hampered each company's manufacturing and supply chain operations. The market for search engine optimization services globally is not an exception. Additionally, because this epidemic has negatively influenced most people's finances, people are now more concerned with cutting back on their discretionary spending, which has decreased consumer demand. These variables will impact the global search engine optimization services market's revenue trajectory during the forecast period. However, the global search engine optimization services industry is projected to recover as regional regulatory authorities start to loosen these imposed limits. Introduction of Search Engine Optimization Services

The search engine optimization (SEO) services market comprises companies (organizations, sole proprietors, or partnerships) that sell SEO consultancy services to companies looking to optimize their websites. The industry is driven by the increased use of digital marketing strategies and the demand for more presence on key search engines. The search engine optimization services market grew throughout the historical period due to rising digital media consumption, increased smartphone and internet service penetration, older generations becoming more digitally empowered, and supportive government measures.

Between 2023 and 2028, an additional 910.3 million smartphone users will be worldwide (an increase of 17.33 percent). After five years of growth, the number of smartphone users is expected to reach 6.2 billion in 2028, reachi...

Competitive Intelligence Tools Market size was valued at USD 445.51 Million in 2024 and is projected to reach 1248.24 USD Million by 2031 growing at a CAGR of 12.25% from 2024 to 2031.

Global Competitive Intelligence Tools Market Drivers

Increasing Competitive Landscape: Businesses are investing in CI tools to learn about the strategies, advantages, disadvantages, and market positioning of their rivals as a result of the growing competition in all industries.

Growing Need for Data-driven Decision Making: Businesses are realising the value of using data to inform their decision-making procedures. Companies can make well-informed decisions regarding their products, marketing tactics, and overall business strategy with the use of CI technologies, which offer useful data and analysis.

Big Data and Analytics’ Emergence: CI systems can now evaluate vast amounts of data from a variety of sources, such as social media, news articles, market reports, and online reviews, in order to extract actionable insights. This is made possible by the widespread adoption of big data and sophisticated analytics technology.

Need for Market Growth and Expansion: Organisations looking to introduce new products or enter new markets need to have a thorough understanding of consumer preferences, market trends, legal frameworks, and competitive dynamics. In order to assist growth ambitions, CI tools make market analysis and strategy planning easier.

Concentrate on Brand Reputation and client Experience: The success of a firm depends on preserving a favourable brand reputation and providing exceptional client experiences. Organisations can proactively resolve problems and improve brand impression by using CI tools to detect brand mentions, monitor online sentiment, and analyse customer feedback.

The global website optimization tools software market is projected to reach USD XXX million by 2033, exhibiting a CAGR of XX% during the forecast period (2025-2033). The growth of this market is primarily attributed to the increasing demand for improved website performance and user experience, heightened by the escalating use of the internet and the proliferation of e-commerce. Organizations are recognizing the significance of optimizing their websites to enhance customer engagement, increase conversions, and boost search engine rankings, driving the adoption of website optimization tools software. Key trends shaping the market include the growing popularity of cloud-based solutions, which offer scalability, flexibility, and cost-effectiveness. Artificial intelligence (AI) and machine learning (ML) are also gaining traction, empowering tools with advanced capabilities for automated website analysis, personalized recommendations, and improved decision-making. Additionally, the emergence of mobile-first optimization tools is catering to the increasing usage of smartphones and tablets, addressing the need for seamless user experiences across multiple devices. The market is highly competitive, with established players like Semrush, Ahrefs, and Moz Pro alongside emerging vendors offering innovative solutions. Geographic expansion and strategic partnerships are key growth strategies adopted by companies to enhance their market presence and cater to the diverse needs of customers worldwide.

The Reddit Subreddit Dataset by Dataplex offers a comprehensive and detailed view of Reddit’s vast ecosystem, now enhanced with appended AI-generated columns that provide additional insights and categorization. This dataset includes data from over 2.1 million subreddits, making it an invaluable resource for a wide range of analytical applications, from social media analysis to market research.

Dataset Overview:

This dataset includes detailed information on subreddit activities, user interactions, post frequency, comment data, and more. The inclusion of AI-generated columns adds an extra layer of analysis, offering sentiment analysis, topic categorization, and predictive insights that help users better understand the dynamics of each subreddit.

2.1 Million Subreddits with Enhanced AI Insights: The dataset covers over 2.1 million subreddits and now includes AI-enhanced columns that provide: - Sentiment Analysis: AI-driven sentiment scores for posts and comments, allowing users to gauge community mood and reactions. - Topic Categorization: Automated categorization of subreddit content into relevant topics, making it easier to filter and analyze specific types of discussions. - Predictive Insights: AI models that predict trends, content virality, and user engagement, helping users anticipate future developments within subreddits.

Sourced Directly from Reddit:

All social media data in this dataset is sourced directly from Reddit, ensuring accuracy and authenticity. The dataset is updated regularly, reflecting the latest trends and user interactions on the platform. This ensures that users have access to the most current and relevant data for their analyses.

Key Features:

• Subreddit Metrics: Detailed data on subreddit activity, including the number of posts, comments, votes, and user participation.
• User Engagement: Insights into how users interact with content, including comment threads, upvotes/downvotes, and participation rates.
• Trending Topics: Track emerging trends and viral content across the platform, helping you stay ahead of the curve in understanding social media dynamics.
• AI-Enhanced Analysis: Utilize AI-generated columns for sentiment analysis, topic categorization, and predictive insights, providing a deeper understanding of the data.

Use Cases:

• Social Media Analysis: Researchers and analysts can use this dataset to study online behavior, track the spread of information, and understand how content resonates with different audiences.
• Market Research: Marketers can leverage the dataset to identify target audiences, understand consumer preferences, and tailor campaigns to specific communities.
• Content Strategy: Content creators and strategists can use insights from the dataset to craft content that aligns with trending topics and user interests, maximizing engagement.
• Academic Research: Academics can explore the dynamics of online communities, studying everything from the spread of misinformation to the formation of online subcultures.

Data Quality and Reliability:

The Reddit Subreddit Dataset emphasizes data quality and reliability. Each record is carefully compiled from Reddit’s vast database, ensuring that the information is both accurate and up-to-date. The AI-generated columns further enhance the dataset's value, providing automated insights that help users quickly identify key trends and sentiments.

Integration and Usability:

The dataset is provided in a format that is compatible with most data analysis tools and platforms, making it easy to integrate into existing workflows. Users can quickly import, analyze, and utilize the data for various applications, from market research to academic studies.

User-Friendly Structure and Metadata:

The data is organized for easy navigation and analysis, with metadata files included to help users identify relevant subreddits and data points. The AI-enhanced columns are clearly labeled and structured, allowing users to efficiently incorporate these insights into their analyses.

Ideal For:

• Data Analysts: Conduct in-depth analyses of subreddit trends, user engagement, and content virality. The dataset’s extensive coverage and AI-enhanced insights make it an invaluable tool for data-driven research.
• Marketers: Use the dataset to better understand your target audience, tailor campaigns to specific interests, and track the effectiveness of marketing efforts across Reddit.
• Researchers: Explore the social dynamics of online communities, analyze the spread of ideas and information, and study the impact of digital media on public discourse, all while leveraging AI-generated insights.

This dataset is an essential resource for anyone looking to understand the intricacies of Reddit's vast ecosystem, offering the data and AI-enhanced insights needed to drive informed decisions and strategies across various fields. Whether you’re tracking emerging trends, analyzing user behavior, or conduc...

Digital Accessibility Software Market size was valued at USD 549.49 Million in 2024 and is projected to reach USD 875.14 Million by 2031, growing at a CAGR of 5.99% from 2024 to 2031.

Global Digital Accessibility Software Market Drivers

Growing Regulatory Requirements: Governments worldwide are increasingly enacting legislation mandating digital accessibility for websites and mobile applications. This creates a compliance requirement for businesses and public institutions, driving the adoption of digital accessibility software.

Heightened Awareness of Inclusion: There’s a growing societal focus on inclusivity, ensuring equal access to information and technology for people with disabilities. Digital accessibility software helps organizations cater to a wider audience and fulfill their social responsibility.

Improved User Experience (UX) for All: Digital accessibility software goes beyond compliance. It helps create user-friendly experiences for everyone, regardless of abilities. Features like screen readers, keyboard navigation, and alternative text descriptions enhance usability for people with visual, auditory, or motor impairments.

SEO (Search Engine Optimization) Benefits: Websites that are accessible are often considered more user-friendly by search engines, potentially leading to higher rankings in search results pages. This can benefit businesses by increasing website traffic and brand visibility.

Reduced Legal Risks: Non-compliance with accessibility regulations can lead to lawsuits from individuals or advocacy groups. Digital accessibility software helps mitigate these legal risks by ensuring adherence to accessibility standards.

Enhanced Brand Reputation: Businesses that prioritize accessibility demonstrate their commitment to inclusivity and social responsibility, potentially fostering a positive brand image and attracting a wider customer base.

Improved Employee Productivity: Digital accessibility software is not just for external users. It can also benefit employees with disabilities, allowing them to work more efficiently by providing alternative ways to access information and complete tasks.

Technological Advancements: Digital accessibility software is constantly evolving. Advancements in automation, machine learning, and artificial intelligence (AI) are streamlining the accessibility testing and remediation process, making it easier and faster for organizations to ensure their digital content is accessible.

Integration with Development Tools: Modern digital accessibility software can integrate seamlessly with development tools and workflows. This allows developers to identify and address accessibility issues early in the development phase, preventing costly rework later.

Node.js overtook React.js to become the most used web framework among software developers worldwide, as of 2024. According to the survey, 40.8 percent of respondents reported to be using Node.js, while around 39.5 percent were using React.js. Web framework A web framework, or what may sometimes be referred to as a web application framework is a software framework that supports the overall software development of web applications. Web frameworks are utilized to automate menial activities typically performed within web development. In other words, it simplifies the web development process and, therefore, makes it easier to build a website. JavaScript As aforementioned, before being overtaken by React.js, jQuery had been the most used web framework out of the millions of software developers throughout the world. Simply put, jQuery is a cross-platform JavaScript library, that simplifies the usage of JavaScript on websites. While jQuery may be losing popularity, JavaScript still remains one of the most popular programming languages used by software developers worldwide. Throughout the world, programming languages are associated with different salaries. JavaScript programmers are associated with a global salary of 65,580 U.S. dollars, while the salary associated with JavaScript programmers in the United States is significantly more, at 112,000 U.S. dollars.

According to Cognitive Market Research, the global Website Builder market size will be USD 3951.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 28.60% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 1580.6 million in 2024 and will grow at a compound annual growth rate (CAGR) of 26.8% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1185.4 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 908.8 million in 2024 and will grow at a compound annual growth rate (CAGR) of 30.6% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 197.58 million in 2024 and will grow at a compound annual growth rate (CAGR) of 28.0% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 79.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 28.3% from 2024 to 2031.
The PC Website Builders category is the fastest-growing segment of the Website Builder industry

Market Dynamics of Website Builder Market

Key Drivers for Website Builder Market

Rising Demand for Online Presence to Boost Market Growth

Small and medium-sized enterprises (SMEs) and entrepreneurs are increasingly recognizing the need for a digital presence to expand their reach, boost credibility, and drive sales. According to Curate Labs, by 2024, approximately 2 billion websites exist online, including 1.13 billion on the World Wide Web. Each day, around 252,000 new websites are created, with about 10,500 launched every hour. Globally, over 28% of businesses engage in online activities, and as of 2023, 71% of businesses have a website. Additionally, 43% of small businesses plan to enhance their website's performance, reflecting the growing importance of digital engagement. GoDaddy's Data Observatory India 2023 reveals that 55% of small businesses in India were established in the last five years, and 62% of them use websites, e-commerce platforms, or online stores as their primary sales channels. Website builders offer these businesses affordable, easy-to-use solutions for creating professional websites without requiring technical skills. This demand is expected to grow as more businesses, especially in developing regions, adopt digital transformation strategies

Increasing Mobile Internet Usage to Drive Market Growth

As more consumers access the internet through mobile devices, the demand for mobile-responsive websites continues to rise. In 2020, 90% of people in high-income countries were internet users, which increased to 93% by 2023, nearing universal access. In contrast, only 27% of the population in low-income countries uses the internet, up from 24% in 2022. This 66-percentage-point gap highlights the stark digital divide between high-income and low-income regions. Despite this, internet usage in low-income countries has grown by 44.1% since 2020, with a 14.3% increase in the past year alone. Website builders have adapted by offering mobile-first templates and optimization tools, ensuring that websites perform seamlessly across devices—an essential feature for attracting a diverse and growing user base.

Restraint Factor for the Website Builder Market

Limited Customization and Scalability Will Limit Market Growth

Many website builders offer pre-designed templates that limit the customization options for users. Businesses that need highly tailored or unique website designs might find the available options insufficient. This limitation could push users toward hiring professional web developers or using more customizable platforms like WordPress or custom-built sites. Some website builders offer basic SEO tools, but they may lack advanced options for optimizing websites for search engines. Users looking to perform in-depth on-page SEO (such as schema markup, custom metadata, or advanced page load speed optimizations) might find the limitations frustrating, especially for websites where search engine ranking is critical for traffic generation. Most website builders rely on shared hosting, meaning multiple websites are hosted on the same server. This increases the risk of vulnerabilities or breaches affecting multiple websites....

The current dataset is consisted of 200 search results extracted from Google and Bing engines (100 of Google and 100 of Bing). The search terms are selected from the 10 most search keywords of 2021 based on the provided data of Google Trends. The rest of the sheets include the performance of the websites according to three technical evaluation aspects. That is, SEO, Speed and Security. The performance dataset has been developed through the utilization of CheckBot crawling tool. The whole dataset can help information retrieval scientists to compare the two engines in terms of their position/ranking and their performance related to these factors.

For more information about the thinking of the of the structure of the dataset please contact the Information Management Lab of University of West Attica.

Contact Persons: Vasilis Ntararas (lb17032@uniwa.gr) , Georgios Ntimo (lb17100@uniwa.gr) and Ioannis C. Drivas (idrivas@uniwa.gr)

Adaption from former Pep-3D-Search. To improve the time efficiency of Pep-3D-Search, we made few adaptations from the former one. These includes a quicker approach in the generating a random background distribution for scoring the best aligned paths from graph search as well as the adjustment of the key parameters. As is shown in the Table S1, the performance improved on 3IU3_I, 1D4V_B in the adapted Pep-3D-Search on which the former Pep-3D-Search failed to predict any epitopic amino acids. On average, the new Pep-3D-Search has similar sensitivity and specificity, but higher precision. (DOC)

FILS, Douglas, Ocean Leadership, 1201 New York Ave, NW, 4th Floor, Washington, DC 20005, SHEPHERD, Adam, Woods Hole Oceangraphic Inst, 266 Woods Hole Road, Woods Hole, MA 02543-1050 and LINGERFELT, Eric, Earth Science Support Office, Boulder, CO 80304

The growth in the amount of geoscience data on the internet is paralleled by the need to address issues of data citation, access and reuse. Additionally, new research tools are driving a demand for machine accessible data as part of researcher workflows. In the commercial sector, elements of this have been addressed by the use of the Schema.org vocabulary encoded via JSON-LD and coupled with web publishing patterns. Adaptable publishing approaches are already in use by many data facilities as they work to address publishing and FAIR patterns. While these often lack the structured data elements these workflows could be leveraged to additionally implement schema.org style publishing patterns.

This presentation will report on work that grew out of the EarthCube Council of Data Facilities known as, Project 418. Project 418 was a proof of concept funded by the EarthCube Science Support Office for exploring the approach of publishing JSON-LD with schema.org and extensions by a set of NSF data facilities. The goal was focused on using this approach to describe data set resources and evaluate the use of this structured metadata to address discovery. Additionally, we will discuss growing interest by Google and others in leveraging this approach to data set discovery.

The work scoped 47,650 datasets from 10 NSF-funded data facilities. Across these datasets, the harvester found 54,665 data download URLs, and approximately 560K dataset variables and 35k unique identifiers (DOIs, IGSNs or ORCIDs).

The various publishing workflows used by the involved data facilities will be presented along with the harvesting and interface developments. Details on how resources were indexed into text, spatial and graph systems and used for search interfaces will be presented along with future directions underway building on this foundation.

We present a dataset targeting a large set of popular pages (Alexa top-500), from probes from several ISPs networks, browsers software (Chrome, Firefox) and viewport combinations, for over 200,000 experiments realized in 2019.We purposely collect two distinct sets with two different tools, namely Web Page Test (WPT) and Web View (WV), varying a number of relevant parameters and conditions, for a total of 200K+ web sessions, roughly equally split among WV and WPT. Our dataset comprises variations in terms of geographical coverage, scale, diversity and representativeness (location, targets, protocol, browser, viewports, metrics).For Web Page Test, we used the online service www.webpagetest.org at different locations worldwide (Europe, Asia, USA) and private WPT instances in three locations in China (Beijing, Shanghai, Dongguan). The list of target URLs comprised the main pages and five random subpages from Alexa top-500 worldwide and China. We varied network conditions : native connections and 4G, FIOS, 3GFast, DSL, and custom shaping/loss conditions. The other elements in the configuration were fixed: Chrome browser on desktop with a fixed screen resolution, HTTP/2 protocol and IPv4.For Web View, we collected experiments from three machines located in France. We selected two versions of two browser families (Chrome 75/77, Firefox 63/68), two screen sizes (1920x1080, 1440x900), and employ different browser configurations (one half of the experiments activate the AdBlock plugin) from two different access technologies (fiber and ADSL). From a protocol standpoint, we used both IPv4 and IPv6, with HTTP/2 and QUIC, and performed repeated experiments with cached objects/DNS. Given the settings diversity, we restricted the number of websites to about 50 among the Alexa top-500 websites, to ensure statistical relevance of the collected samples for each page.The two archives IFIPNetworking2020_WebViewOrange.zip and IFIPNetworking2020_Webpagetest.zip correspond respectively to the Web View experiments and to the Web Page Test experiments.Each archive contains three files:- config.csv: Description of parameters and conditions for each run,- metrics.csv: Value of different metrics collected by the browser,- progressionCurves.csv: Progression curves of the bytes progress as seen by the network, from 0 to 10 seconds by steps of 100 milliseconds,- listUrl folder: Indexes the sets of urls.Regarding config.csv, the columns are: - index: Index for this set of conditions, - location: Location of the machine, - listUrl: List of urls, located in the folder listUrl - browserUsed: Internet browser and version - terminal: Desktop or Mobile - collectionEnvironment: Identification of the collection environment - networkConditionsTrafficShaping (WPT only): Whether native condition or traffic shaping (4G, FIOS, 3GFast, DSL, or custom Emulator conditions) - networkConditionsBandwidth (WPT only): Bandwidth of the network - networkConditionsDelay (WPT only): Delay in the network - networkConditions (WV only): network conditions - ipMode (WV only): requested L3 protocol, - requestedProtocol (WV only): requested L7 protocol - adBlocker (WV only): Whether adBlocker is used or not - winSize (WV only): Window sizeRegarding metrics.csv, the columns are: - id: Unique identification of an experiment (consisting of an index 'set of conditions' and an index 'current page') - DOM Content Loaded Event End (ms): DOM time, - First Paint (ms) (WV only): First paint time, - Load Event End (ms): Page Load Time from W3C, - RUM Speed Index (ms) (WV only): RUM Speed Index, - Speed Index (ms) (WPT only): Speed Index, - Time for Full Visual Rendering (ms) (WV only): Time for Full Visual Rendering - Visible portion (%) (WV only): Visible portion, - Time to First Byte (ms) (WPT only): Time to First Byte, - Visually Complete (ms) (WPT only): Visually Complete used to compute the Speed Index, - aatf: aatf using ATF-chrome-plugin - bi_aatf: bi_aatf using ATF-chrome-plugin - bi_plt: bi_plt using ATF-chrome-plugin - dom: dom using ATF-chrome-plugin - ii_aatf: ii_aatf using ATF-chrome-plugin - ii_plt: ii_plt using ATF-chrome-plugin - last_css: last_css using ATF-chrome-plugin - last_img: last_img using ATF-chrome-plugin - last_js: last_js using ATF-chrome-plugin - nb_ress_css: nb_ress_css using ATF-chrome-plugin - nb_ress_img: nb_ress_img using ATF-chrome-plugin - nb_ress_js: nb_ress_js using ATF-chrome-plugin - num_origins: num_origins using ATF-chrome-plugin - num_ressources: num_ressources using ATF-chrome-plugin - oi_aatf: oi_aatf using ATF-chrome-plugin - oi_plt: oi_plt using ATF-chrome-plugin - plt: plt using ATF-chrome-pluginRegarding progressionCurves.csv, the columns are: - id: Unique identification of an experiment (consisting of an index 'set of conditions' and an index 'current page') - url: Url of the current page. SUBPAGE stands for a path. - run: Current run (linked with index of the config for WPT) - filename: Filename of the pcap - fullname: Fullname of the pcap - har_size: Size of the HAR for this experiment, - pagedata_size: Size of the page data report - pcap_size: Size of the pcap - App Byte Index (ms): Application Byte Index as computed from the har file (in the browser) - bytesIn_APP: Total bytes in as seen in the browser, - bytesIn_NET: Total bytes in as seen in the network, - X_BI_net: Network Byte Index computed from the pcap file (in the network) - X_bin_0_for_B_completion to X_bin_99_for_B_completion: X_bin_k_for_B_completion is the bytes progress reached after k*100 millisecondsIf you use these datasets in your research, you can reference to the appropriate paper:@inproceedings{qoeNetworking2020, title={Revealing QoE of Web Users from Encrypted Network Traffic}, author={Huet, Alexis and Saverimoutou, Antoine and Ben Houidi, Zied and Shi, Hao and Cai, Shengming and Xu, Jinchun and Mathieu, Bertrand and Rossi, Dario}, booktitle={2020 IFIP Networking Conference (IFIP Networking)}, year={2020}, organization={IEEE}}

Classic Viewer (formerly known as Basic Viewer) is a configurable application template that enables you to display an ArcGIS web map using a variety of tools. The template can be configured using the following options:Map:Choose the web map used in your application.Color Scheme: Choose between five color schemes for the application (Blue, Gray, Green, Orange, Purple).Show Title: Choose whether to include an application title. Title Text: The application title. The default title is the web map name.Logo: Choose a custom logo for your application.Overview Map: Display a retractable overview map to add context for panning and zooming.Legend: Display a legend for map layers.*Details: Display the web map item description.*Editor: Allows users to interactively create, modify, or delete features in editable layers.Time Slider: Enables the display of the time slider.*Print: Enables printing the map at the current extent. It can be configured to include a legend and supports different layout options.Layer List: Enables toggling the visibility of operational layers within the web map.*Basemaps: Enables the display of the basemap gallery.Bookmarks: Enables the use of web map bookmarks for navigation.*Measure: Enables measure tool for interactive area, length, and point measurement.Share: Allows users to share the application with others via email, Twitter, or Facebook.Search: Displays the Search box to enable navigation to addresses and places. Search for locations within current extent: Enable toggling of search within the current map extent only.*These options will appear in the application when the web map has properties or layers that support them.Classic Viewer can be accessed via the ArcGIS template gallery or item details. The application source code can be downloaded for further customization and hosted on your own web server.

As of February 2025, English was the most popular language for web content, with over 49.4 percent of websites using it. Spanish ranked second, with six percent of web content, while the content in the German language followed, with 5.6 percent. English as the leading online language United States and India, the countries with the most internet users after China, are also the world's biggest English-speaking markets. The internet user base in both countries combined, as of January 2023, was over a billion individuals. This has led to most of the online information being created in English. Consequently, even those who are not native speakers may use it for convenience. Global internet usage by regions As of October 2024, the number of internet users worldwide was 5.52 billion. In the same period, Northern Europe and North America were leading in terms of internet penetration rates worldwide, with around 97 percent of its populations accessing the internet.

As of December 2023, mobile phones had the largest percentage of web pages served to web browsers, accounting for over 60 percent of web traffic in South Korea. Laptops and desktop computers followed with around 38.7 percent, while tablet devices only generated around one percent of online traffic.