Google dominated the web analytics industry in 2024, with ***** of its web analytics technologies maintaining the top three positions in the global market. Google Global Site Tag was first with a market share of over ** percent, followed by Google Analytics and Google Universal Analytics who had market shares of approximately ** and ** percent, respectively. When all ***** technologies were combined, Google maintained more than ** percent of the total market share.

This website provides demographic information about laboratories, including CLIA number, facility name and address, where the laboratory testing is performed, the type of CLIA certificate, and the date the certificate expires. This list is updated monthly and represents the information in the system at the time of update. For additional information about a particular laboratory, contact the appropriate State Agency or Regional Office CLIA contact (refer to State Agency or Regional Office CLIA link found on the left-hand navigation pane).

As of January 2024, Instagram was slightly more popular with men than women, with men accounting for 50.6 percent of the platform’s global users. Additionally, the social media app was most popular amongst younger audiences, with almost 32 percent of users aged between 18 and 24 years.

              Instagram’s Global Audience

              As of January 2024, Instagram was the fourth most popular social media platform globally, reaching two billion monthly active users (MAU). This number is projected to keep growing with no signs of slowing down, which is not a surprise as the global online social penetration rate across all regions is constantly increasing.
              As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, followed by the United States with 169.7 million users.

              Who is winning over the generations?

              Even though Instagram’s audience is almost twice the size of TikTok’s on a global scale, TikTok has shown itself to be a fierce competitor, particularly amongst younger audiences. TikTok was the most downloaded mobile app globally in 2022, generating 672 million downloads. As of 2022, Generation Z in the United States spent more time on TikTok than on Instagram monthly.

In today's digital landscape, the Website Traffic Analysis Tool market has emerged as an essential component for businesses aiming to enhance their online presence and optimize their digital strategies. These tools empower organizations to monitor their website performance, analyze visitor behavior, and derive actio

The Website Speed Testing Tool market has increasingly become a critical component of online performance optimization, as businesses recognize that page load speed significantly impacts user experience, search engine rankings, and conversion rates. With internet users growing more impatient and demanding faster load

As of April 2024, Bahrain was the country with the highest Instagram audience reach with 95.6 percent. Kazakhstan also had a high Instagram audience penetration rate, with 90.8 percent of the population using the social network. In the United Arab Emirates, Turkey, and Brunei, the photo-sharing platform was used by more than 85 percent of each country's population.

The Website Security Tool market has emerged as a critical component of the digital landscape, providing essential solutions that safeguard businesses from increasing online threats. This market, which encompasses a wide range of software and services designed to protect websites from cyberattacks, data breaches, an

As of April 2024, it was found that men between the ages of 25 and 34 years made up Facebook largest audience, accounting for 18.4 percent of global users. Additionally, Facebook's second largest audience base could be found with men aged 18 to 24 years.

              Facebook connects the world

              Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger,
              as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.

Introduction

Online Video Platform Statistics: An Online Video Platform (OVP) is a crucial digital infrastructure for hosting, managing, and delivering video content online.

It facilitates content uploading, organization, and playback across various devices with adaptive streaming capabilities.

OVPs support monetization through advertising, subscriptions, or pay-per-view models alongside robust analytics for tracking viewer engagement and performance metrics.

They offer customization options for branding and player interfaces, ensuring a seamless user experience. Security features like encryption and DRM safeguard content, while integration with other platforms and APIs enables extended functionality and automation.

OVPs also cater to live streaming needs, making them versatile tools for media, entertainment, education, and corporate sectors seeking reliable video distribution solutions.

The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

The Website Analytics Tool market has become a cornerstone for businesses and organizations striving to strengthen their online presence and leverage data for informed decision-making. As digital landscapes continue to evolve, these tools offer essential insights into user behavior, website performance, and overall

The Website Visitor Tracking Tool market has emerged as a critical component for businesses seeking to enhance their online presence and optimize user engagement. By allowing organizations to gather and analyze visitor data, these tools provide invaluable insights into user behavior, preferences, and patterns. The a

Tools to locate the dataset tables and supporting documentation for the 2014, 2016, 2018, 2020, 2021 and 2022-based national population projections. Contains links to the principal and (where available) variant projections for the UK and constituent countries for 100 years ahead.

Introduction

Digital Content Creation Statistics: Digital content creation encompasses the production of diverse media content for online consumption, spanning written articles, videos, podcasts, graphics, and interactive experiences.

With the proliferation of digital platforms and increased internet penetration, demand for engaging content is surging.

Video content remains dominant, with platforms like YouTube and TikTok driving engagement. While emerging formats like live streams and AR offer new engagement opportunities.

Content creators, platforms, agencies, and technology providers constitute the market landscape. Navigating challenges such as content saturation and algorithmic changes while capitalizing on opportunities in monetization models and emerging technologies like Generative AI and VR.

Understanding these dynamics is crucial for businesses and creators aiming to thrive in the competitive digital content space.

Retail Site Selection AI Market Outlook

According to our latest research, the global Retail Site Selection AI market size reached USD 1.24 billion in 2024 and is projected to expand to USD 7.62 billion by 2033, growing at a robust CAGR of 22.1% during the forecast period. The primary growth factor driving this remarkable expansion is the increasing adoption of artificial intelligence-powered analytics to optimize retail site selection, enabling retailers to make data-driven decisions that enhance profitability and operational efficiency.

A key driver propelling the Retail Site Selection AI market is the exponential growth in data availability and the need for advanced analytics in the retail sector. The proliferation of digital touchpoints, mobile devices, and IoT sensors has resulted in vast amounts of location-based and behavioral data. Retailers are leveraging AI-powered solutions to process and analyze this data, extracting actionable insights that inform site selection decisions. AI algorithms can evaluate variables such as foot traffic, demographic patterns, competitor locations, and local economic indicators, enabling retailers to identify optimal store locations with unprecedented precision. This capability not only reduces the risk of poor site selection but also accelerates the decision-making process, giving early movers a significant competitive advantage in rapidly evolving retail landscapes.

Another significant growth factor is the intensifying competition within the retail industry, which pressures businesses to optimize every aspect of their operations, including site selection. As brick-and-mortar stores face mounting challenges from e-commerce, retailers are increasingly turning to AI-driven tools to ensure that new stores are strategically placed to maximize customer reach and profitability. AI solutions can simulate various scenarios, predict sales potential, and assess risks associated with different locations, allowing retailers to allocate resources more effectively. This strategic approach is particularly important for large retail chains and franchises, which often manage hundreds or thousands of locations and require scalable, automated solutions for expansion planning.

The evolving expectations of consumers further fuel the adoption of AI in retail site selection. Modern consumers demand convenience, accessibility, and personalized experiences, prompting retailers to prioritize locations that align with these preferences. AI-powered site selection tools can analyze customer demographics, purchasing behaviors, and mobility trends to recommend sites that are most likely to attract and retain target audiences. Moreover, the integration of AI with geospatial analytics and real-time data feeds empowers retailers to adapt quickly to changing market conditions, such as shifts in population density or emerging commercial hubs. This adaptability is critical for sustaining growth and maintaining relevance in a dynamic retail environment.

From a regional perspective, North America currently dominates the Retail Site Selection AI market, driven by high technology adoption rates, a mature retail ecosystem, and significant investments in AI research and development. Europe follows closely, with a strong focus on urban planning and smart city initiatives that encourage the use of AI for retail expansion. The Asia Pacific region is experiencing the fastest growth, fueled by rapid urbanization, a burgeoning middle class, and increasing digitalization across emerging economies. Latin America and the Middle East & Africa are also witnessing rising adoption of AI-powered site selection tools, as retailers in these regions seek to capitalize on untapped market opportunities and improve operational efficiency.

Component Analysis

The component segment of the Retail Site Selection AI market is bifurcated into software and services, each playing a pivotal role in shaping the market landscape. Software solutions form the backbone of the market, encompassing advanced AI algorithms, predictive analytics platforms, and geospatial analysis tools. These software offerings enable retailers to collect, process, and analyze vast datasets, providing real-time recommendations for optimal site selection. The increasing sophistication of AI models, including machine learning and deep learning techniques, has significantly enhanced the accuracy and reliability of these solutions. As a result, retailers are increasingly investing in proprietary and third-party s

Website Accessibility Plugins Software Market Outlook

The global market size for Website Accessibility Plugins Software was valued at approximately USD 1.2 billion in 2023 and is projected to reach USD 3.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.5% during the forecast period. This significant growth is driven by increasing awareness and regulatory requirements for web accessibility, along with a rising emphasis on user experience across digital platforms.

One of the prominent growth factors for the Website Accessibility Plugins Software market is the increasing regulatory landscape aimed at promoting web accessibility. Governments across various regions are introducing stringent laws and guidelines, such as the Americans with Disabilities Act (ADA) in the United States and the Web Content Accessibility Guidelines (WCAG) globally, compelling businesses to comply with accessibility standards. Non-compliance can result in legal repercussions, driving enterprises to adopt accessibility solutions proactively. This regulatory push is particularly critical for public sector organizations and large enterprises with extensive digital properties.

Another critical driver is the growing recognition of the economic benefits of accessible websites. Accessible websites ensure that businesses do not exclude a significant portion of the population, particularly people with disabilities, thereby expanding their potential customer base. Enhanced accessibility can lead to improved user satisfaction, increased website traffic, and higher conversion rates, making it a prudent business investment. Moreover, search engines prioritize accessible websites, contributing to better search engine optimization (SEO) results and driving organic traffic.

The advent of advanced technologies such as artificial intelligence (AI) and machine learning (ML) is also propelling the market forward. These technologies are being integrated into accessibility plugins to provide automated solutions that can identify and rectify accessibility issues in real-time. AI-powered tools can analyze vast amounts of web content and offer precise recommendations for making websites compliant with accessibility standards. This automation reduces the manual effort and expertise required, making it easier for even small and medium enterprises to adopt these solutions.

Regionally, North America holds the largest share of the Website Accessibility Plugins Software market, driven by strong regulatory frameworks and high digital adoption rates. Europe is also a significant market, with the General Data Protection Regulation (GDPR) indirectly influencing web accessibility standards. The Asia Pacific region is anticipated to witness the highest growth rate, owing to increasing internet penetration and rising awareness about web accessibility among businesses. Governments in countries like Japan and Australia are also taking initiatives to promote accessibility, further boosting the market in this region.

Component Analysis

The Website Accessibility Plugins Software market can be segmented into software and services. The software segment encompasses a variety of tools and plugins designed to enhance web accessibility. These tools include automated testing tools, screen readers, and voice recognition software. The software segment is expected to dominate the market due to its critical role in identifying and fixing accessibility issues on websites. Many software solutions offer real-time monitoring and automated compliance checks, ensuring that websites adhere to the latest accessibility standards, such as WCAG.

On the other hand, the services segment includes consultation, implementation, training, and support services. These services are crucial for organizations that lack the in-house expertise to manage web accessibility. Consultants provide valuable insights and customized solutions tailored to the unique needs of a business, ensuring effective implementation of accessibility standards. Training services are also essential as they educate staff on best practices for maintaining accessible websites, thus fostering a culture of inclusivity within the organization.

The integration of AI and ML in software solutions is particularly noteworthy. These technologies enhance the functionality of accessibility plugins by providing automated solutions. For instance, AI can analyze website content to identify accessibility issues and suggest or implement fixes automatically. This reduces the need for manual intervention and allows for continuous monitoring and updat

General Purpose Data and Statistics. GradeDEC.Net is a web-based tool for the investment analysis of highway-rail grade crossing improvements. It provides state departments of transportation, local governments, metropolitan planning agencies, inspectors, and railroad companies with the online ability to conduct benefit-cost analysis of highway-rail grade crossing infrastructure investments. GradeDEC.Net allows users to divert highway traffic to and from closed or separated grade crossings to adjacent crossings, and calculate a full set of benefits including changes in accident risk associated with changes in traditional grade crossing technology. Users can also evaluate supplemental safety measures listed in the Notice of Proposed Rulemaking covering the use of locomotive horns at highway-rail grade crossing. Users are also able to save an analysis on-site for later revision and update and submit reports directly to the FRA.

Social Media Management and Analytics Software Market Outlook

The global Social Media Management and Analytics Software Market is projected to reach a valuation of USD 20 billion by 2032, growing at a compound annual growth rate (CAGR) of 15% during the forecast period. The significant growth factor for this market is the increasing adoption of social media platforms for business operations and the growing need for analyzing user data to make informed business decisions.

One of the primary growth factors driving the Social Media Management and Analytics Software Market is the exponential rise in social media usage across various age groups and demographics. Social media platforms like Facebook, Twitter, LinkedIn, and Instagram have become integral to both personal and professional lives. Businesses are increasingly utilizing these platforms to engage with customers, promote products, and gather valuable feedback. The ability to analyze social media interactions helps businesses understand customer preferences and behaviors, facilitating targeted marketing strategies and enhancing customer experience.

Another crucial growth factor is the technological evolution of analytics tools, which has significantly improved the capability to process vast amounts of unstructured data. Advanced technologies such as artificial intelligence (AI) and machine learning (ML) enable more accurate and insightful data analysis. These technologies help in predicting market trends, understanding customer sentiments, and optimizing marketing campaigns. The integration of AI and ML in social media management tools offers predictive analytics, which can forecast future trends based on historical data, thereby giving businesses a competitive edge.

The growing importance of brand management and reputation monitoring is also fueling market growth. In today's digital age, a brand's reputation can be significantly influenced by its online presence. Negative comments or reviews can spread rapidly, impacting customer perception and sales. Social media management tools help businesses monitor their online reputation and respond swiftly to any negative feedback. These tools provide real-time alerts and detailed analytics, enabling businesses to maintain a positive brand image and foster customer loyalty.

Regionally, North America holds the largest market share due to the high adoption rate of advanced technologies and the presence of key market players. The region's robust digital infrastructure and the inclination of businesses towards digital marketing strategies contribute significantly to the market's growth. In contrast, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rapid digital transformation, increasing internet penetration, and the growing number of social media users in countries such as China, India, and Japan are driving the market in this region. Europe also shows substantial growth potential, with businesses increasingly investing in social media analytics to enhance customer engagement and optimize marketing efforts.

Social Media Advertising Software plays a pivotal role in the broader landscape of social media management and analytics. As businesses strive to maximize their reach and engagement on platforms like Facebook, Instagram, and Twitter, advertising software provides the tools necessary to create, manage, and optimize ad campaigns effectively. These software solutions offer features such as audience targeting, ad scheduling, and performance analytics, enabling businesses to tailor their advertising strategies to specific demographics and interests. By leveraging social media advertising software, companies can enhance their visibility, drive traffic to their websites, and ultimately increase conversions. The integration of these advertising tools with analytics platforms further allows businesses to measure the impact of their campaigns and refine their strategies for better results.

Component Analysis

The Social Media Management and Analytics Software Market by component includes software and services. The software segment holds a significant share of the market due to its essential role in managing and analyzing social media activities. These software solutions provide functionalities such as content scheduling, social listening, sentiment analysis, and reporting. Businesses utilize these tools to streamline their social media operations, ensure consistent conte

This dataset is the result of a full-population crawl of the .gov.uk web domain, aiming to capture a full picture of the scope of public-facing government activity online and the links between different government bodies.

Local governments have been developing online services, aiming to better serve the public and reduce administrative costs. However, the impact of this work, and the links between governments’ online and offline activities, remain uncertain. The overall research question for this research examines whether local e-government has met these expectations, of Digital Era Governance and of its practitioners. Aim was to directly analyse the structure and content of government online. It shows that recent digital-centric public administration theories, typified by the Digital Era Governance quasi-paradigm, are not empirically supported by the UK local government experience.

The data consist of a file of individual Uniform Resource Locators (URLs) fetched during the crawl, and a further file containing pairs of URLs reflecting the Hypertext Markup Language (HTML) links between them. In addition, a GraphML format file is presented for a version of the data reduced to third-level-domains, with accompanying attribute data for the publishing government organisations and calculated webometric statistics based on the third-level-domain link network.

This project engages with the Digital Era Governance (DEG) work of Dunleavy et. al. and draws upon new empirical methods to explore local government and its use of Internet-related technology. It challenges the existing literature, arguing that e-government benefits have been oversold, particularly for transactional services; it updates DEG with insights from local government.

The distinctive methodological approach is to use full-population datasets and large-scale web data to provide an empirical foundation for theoretical development, and to test existing theorists’ claims. A new full-population web crawl of .gov.uk is used to analyse the shape and structure of online government using webometrics. Tools from computer science, such as automated classification, are used to enrich our understanding of the dataset. A new full-population panel dataset is constructed covering council performance, cost, web quality, and satisfaction.

The local government web shows a wide scope of provision but only limited evidence in support of the existing rhetorics of Internet-enabled service delivery. In addition, no evidence is found of a link between web development and performance, cost, or satisfaction. DEG is challenged and developed in light of these findings.

The project adds value by developing new methods for the use of big data in public administration, by empirically challenging long-held assumptions on the value of the web for government, and by building a foundation of knowledge about local government online to be built on by further research.

This is an ESRC-funded DPhil research project.

Number of Businesses statistics on the Online Hardware & Tool Sales industry in the US