In the second quarter of 2025, mobile devices (excluding tablets) accounted for 62.54 percent of global website traffic. Since consistently maintaining a share of around 50 percent beginning in 2017, mobile usage surpassed this threshold in 2020 and has demonstrated steady growth in its dominance of global web access. Mobile traffic Due to low infrastructure and financial restraints, many emerging digital markets skipped the desktop internet phase entirely and moved straight onto mobile internet via smartphone and tablet devices. India is a prime example of a market with a significant mobile-first online population. Other countries with a significant share of mobile internet traffic include Nigeria, Ghana and Kenya. In most African markets, mobile accounts for more than half of the web traffic. By contrast, mobile only makes up around 45.49 percent of online traffic in the United States. Mobile usage The most popular mobile internet activities worldwide include watching movies or videos online, e-mail usage and accessing social media. Apps are a very popular way to watch video on the go and the most-downloaded entertainment apps in the Apple App Store are Netflix, Tencent Video and Amazon Prime Video.

In 2023, Google's ad revenue amounted to 264.59 billion U.S. dollars. The company generates advertising revenue through its Google Ads platform, which enables advertisers to display ads, product listings and service offerings across Google’s extensive ad network (properties, partner sites, and apps) to web users. Google advertising Advertising accounts for the majority of Google’s revenue, which amounted to a total of 305.63 billion U.S. dollars in 2023. The majority of Google's advertising revenue comes from search advertising. Google market share These revenue figures come as no surprise, as Google accounts for the majority of the online and mobile search market worldwide. As of September 2023, Google was responsible for more than 84 percent of global desktop search traffic. The company holds a market share of more than 80 percent in a wide range of digital markets, having little to no domestic competition in many of them. China, Russia, and to a certain extent, Japan, are some of the few notable exceptions, where local products are more preferred.

Each year, the City of Boston publishes payroll data for employees. This dataset contains employee names, job details, and earnings information including base salary, overtime, and total compensation for employees of the City.

See the "Payroll Categories" document below for an explanation of what types of earnings are included in each category.

The website speed and performance testing tool market is experiencing robust growth, driven by the increasing importance of website speed for user experience, SEO rankings, and overall business success. 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. The rising adoption of cloud-based solutions offers scalability and cost-effectiveness, attracting both personal and enterprise users. Furthermore, the increasing complexity of websites and the growing reliance on mobile devices necessitate sophisticated testing tools to ensure optimal performance across various platforms and browsers. The competitive landscape is dynamic, with established players like Pingdom and New Relic alongside emerging innovative solutions. The market is segmented by application (personal, enterprise, other) and type (cloud-based, on-premises), with cloud-based solutions dominating due to their accessibility and flexible pricing models. Geographic expansion is also a significant driver, with North America and Europe currently holding the largest market share, but Asia-Pacific showing strong potential for future growth fueled by increasing internet penetration and e-commerce activity. The market's restraints primarily involve the initial investment costs associated with implementing advanced testing tools and the need for technical expertise to effectively utilize these solutions. However, the long-term benefits significantly outweigh these initial challenges, leading to continued market expansion. The market’s segmentation into cloud-based and on-premises solutions reflects the ongoing shift towards cloud adoption. Cloud-based tools offer advantages such as easy accessibility, automatic updates, and scalability, making them attractive to a wide range of users. The enterprise segment is a major contributor to market revenue, driven by the need for comprehensive performance monitoring and optimization of business-critical websites. The diverse range of tools available caters to various user needs and technical expertise, from simple speed tests for individual websites to sophisticated platforms for large-scale performance monitoring. The ongoing development of innovative features, such as AI-powered performance analysis and automated testing, will further drive market growth. Competition among vendors is fierce, leading to continuous improvements in the functionality and user experience of these testing tools. Therefore, the website speed and performance testing tool market represents a significant and rapidly evolving sector with substantial opportunities for growth and innovation in the coming years.

Facebook probably needs no introduction; nonetheless, here is a quick history of the company. The world’s biggest and most-famous social network was launched by Mark Zuckerberg while he was a...

In July 2025, booking.com was the most visited travel and tourism website worldwide. That month, Booking’s web page recorded almost *** million visits. Tripadvisor.com and wetter.com followed in the ranking, with roughly *** million and *** million visits, respectively. Popular online travel agencies in the U.S. Online travel agencies (OTAs), such as Booking.com and Expedia, offer a wide variety of services, including online hotel bookings, flight reservations, and car rentals. According to the Statista Consumer Insights Global survey, when looking at flight search engine online bookings by brand in the United States, Booking.com and Expedia were the most popular options when it came to making online flight reservations in 2025. When focusing on hotel and private accommodation online bookings in the U.S., Booking.com was again the most popular brand, followed by Airbnb, Expedia, and Hotels.com. Booking Holdings vs. Expedia Group Booking.com is one of the most popular sites of the online travel group Booking Holdings, the leading online travel agency worldwide based on revenue, that also owns brands like Priceline, Kayak, and Agoda. In 2024, Booking Holdings' revenue amounted to almost ** billion U.S. dollars, the highest figure reported by the company to date. Meanwhile, global revenue of Expedia Group, which manages brands like Expedia, Hotels.com, and Vrbo, reached nearly ** billion U.S. dollars that year.

Survey of 2,000 businesses on how much they spend on their website and their website costs

Comprehensive revenue analytics and insights for mobile gacha games

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2008-2012 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..The methodology for calculating median income and median earnings changed between 2008 and 2009. Medians over $75,000 were most likely affected. The underlying income and earning distribution now uses $2,500 increments up to $250,000 for households, non-family households, families, and individuals and employs a linear interpolation method for median calculations. Before 2009 the highest income category was $200,000 for households, families and non-family households ($100,000 for individuals) and portions of the income and earnings distribution contained intervals wider than $2,500. Those cases used a Pareto Interpolation Method..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2008-2012 American Community Survey

App Revenue Key StatisticsMobile Ad SpendApp and Game RevenuesiOS App and Game RevenueGoogle Play App and Game RevenueGaming App RevenuesiOS Gaming App RevenueGoogle Play Gaming App RevenueApp...

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2015-2019 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..The Class of Worker status "unpaid family workers" may have earnings. Earnings reflect any earnings from all jobs held during the 12 months prior to the ACS interview. The Class of Worker status reflects the job or business held the week prior to the ACS interview, or the last job held by the respondent..Industry titles and their 4-digit codes are based on the North American Industry Classification System (NAICS). The Census industry codes for 2018 and later years are based on the 2017 revision of the NAICS. To allow for the creation of multiyear tables, industry data in the multiyear files (prior to data year 2018) were recoded to the 2017 Census industry codes. We recommend using caution when comparing data coded using 2017 Census industry codes with data coded using Census industry codes prior to data year 2018. For more information on the Census industry code changes, please visit our website at https://www.census.gov/topics/employment/industry-occupation/guidance/code-lists.html..When information is missing or inconsistent, the Census Bureau logically assigns an acceptable value using the response to a related question or questions. If a logical assignment is not possible, data are filled using a statistical process called allocation, which uses a similar individual or household to provide a donor value. The "Allocated" section is the number of respondents who received an allocated value for a particular subject..Beginning in data year 2019, respondents to the Weeks Worked question provided an integer value for the number of weeks worked. For data years 2008 through 2018, respondents selected a category corresponding to the number of weeks worked..Occupation titles and their 4-digit codes are based on the Standard Occupational Classification (SOC). The Census occupation codes for 2018 and later years are based on the 2018 revision of the SOC. To allow for the creation of the multiyear tables, occupation data in the multiyear files (prior to data year 2018) were recoded to the 2018 Census occupation codes. We recommend using caution when comparing data coded using 2018 Census occupation codes with data coded using Census occupation codes prior to data year 2018. For more information on the Census occupation code changes, please visit our website at https://www.census.gov/topics/employment /industry-occupation/guidance/code-lists.html..In 2019, methodological changes were made to the class of worker question. These changes involved modifications to the question wording, the category wording, and the visual format of the categories on the questionnaire. The format for the class of worker categories are now listed under the headings "Private Sector Employee," "Government Employee," and "Self-Employed or Other." Additionally, the category of Active Duty was added as one of the response categories under the "Government Employee" section for the mail questionnaire. For more detailed information about the 2019 changes, see the 2016 American Community Survey Content Test Report for Class of Worker located at http://www.census.gov/library/working-papers/2017/acs/2017_Martinez_01.html..The 2015-2019 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the ...

Website Optimization Tools Market Outlook

The global website optimization tools market is set to witness significant growth, with the market size projected to expand from USD 1.5 billion in 2023 to an estimated USD 2.9 billion by 2032, registering a compound annual growth rate (CAGR) of 7.5% during the forecast period. This robust growth is primarily driven by the increasing digitalization across industries, the critical need for enhanced online presence, and the growing importance of user experience in driving business success. As businesses continue to prioritize digital transformation, the demand for sophisticated tools that help optimize website performance, enhance user engagement, and boost conversion rates is expected to rise steadily.

One of the primary growth factors driving the website optimization tools market is the rapid proliferation of internet users worldwide and the consequent boom in online business activities. With more consumers relying on digital platforms for their purchasing decisions, businesses are compelled to establish an effective online presence to stay competitive. This has fueled the demand for website optimization tools that enable businesses to enhance website speed, improve search engine rankings, and optimize user interfaces to ensure seamless user experiences. Additionally, the surge in mobile internet usage necessitates tools that can optimize websites for mobile responsiveness, further propelling market growth.

Another significant factor contributing to the market's expansion is the increasing emphasis on data-driven decision-making. Businesses are leveraging website optimization tools to derive actionable insights from user data, enabling them to refine their marketing strategies and enhance customer engagement. Tools like A/B testing and heatmaps provide valuable data on user behavior, helping businesses identify areas of improvement on their websites. This data-centric approach not only improves website performance but also enhances the overall customer journey, leading to higher conversion rates and increased revenue.

The growing trend of personalization in digital marketing also plays a crucial role in driving the market. Consumers today expect personalized experiences tailored to their preferences and needs. Website optimization tools enable businesses to deliver such personalized content by analyzing user data and preferences, allowing for customized marketing strategies and improved user engagement. As personalization becomes a cornerstone of successful digital marketing, the demand for advanced optimization tools that can support this trend is expected to escalate, further boosting market growth.

AB Testing Tools have become indispensable for businesses aiming to fine-tune their digital strategies and maximize user engagement. By allowing companies to experiment with different website elements, these tools provide insights into what resonates best with users, leading to more effective design and content decisions. As the digital landscape becomes increasingly competitive, the ability to test and iterate on website features is crucial for maintaining a competitive edge. Businesses can leverage these tools to optimize user experiences, ultimately driving higher conversion rates and improving overall website performance. The growing reliance on data-driven decision-making further underscores the importance of AB Testing Tools in the website optimization toolkit.

Regionally, the market for website optimization tools is expected to see varied growth patterns. North America and Europe are anticipated to remain key markets due to the early adoption of digital technologies and the presence of numerous enterprises focusing on enhancing their digital footprint. However, the Asia Pacific region is poised for the fastest growth, driven by the rapid digitalization of economies like China and India, increasing internet penetration, and the burgeoning e-commerce sector. The Latin America and Middle East & Africa markets are also expected to witness moderate growth, supported by improving digital infrastructure and growing awareness of the benefits of website optimization.

Type Analysis

In the realm of website optimization, the market is segmented into several types of tools, each catering to different aspects of website enhancement. SEO tools are particularly crucial as they assist businesses in improving their search engine visibility, which is vital for attracting organic traffic. These tools aid in keyword

Data, statistics and adopted local options related to property taxes

A/B Testing for Hotel Websites Market Outlook

As per our latest research, the global A/B Testing for Hotel Websites market size reached USD 1.24 billion in 2024 and is projected to grow at a robust CAGR of 11.7% during the forecast period, reaching USD 3.12 billion by 2033. The market’s remarkable growth is driven by the increasing digital transformation in the hospitality industry, where hotels are leveraging data-driven strategies to enhance website performance, optimize booking conversions, and improve guest experiences. This surge is further propelled by the widespread adoption of advanced analytics and personalization technologies, which have become essential for hotels aiming to remain competitive in a rapidly evolving digital landscape.

One of the primary growth factors for the A/B Testing for Hotel Websites market is the escalating demand for personalized guest experiences. As travelers increasingly rely on digital platforms to book accommodations, hotels are compelled to provide seamless, user-friendly, and engaging online experiences. A/B testing enables hotels to experiment with various website elements—such as layouts, calls-to-action, and imagery—to determine which versions drive higher engagement and conversions. By leveraging these insights, hotels can tailor their digital interfaces to meet diverse guest preferences, ultimately boosting direct bookings and reducing reliance on third-party platforms. The proliferation of mobile bookings and the growing importance of omni-channel engagement further amplify the need for sophisticated A/B testing solutions within the hospitality sector.

Another significant driver is the intensifying competition within the global hotel industry, which necessitates continuous optimization of digital marketing strategies. Hotels are increasingly investing in A/B testing tools to refine their pricing strategies, promotional campaigns, and booking funnels. This data-driven approach not only enhances marketing ROI but also allows hoteliers to quickly adapt to shifting market dynamics and consumer behaviors. The integration of artificial intelligence and machine learning into A/B testing platforms is making experimentation faster and more insightful, enabling hotels to deploy real-time optimizations that maximize revenue and guest satisfaction. As a result, the market is witnessing robust adoption among both large hotel chains and independent boutique hotels seeking to differentiate themselves in a crowded marketplace.

Furthermore, the ongoing shift toward cloud-based solutions and the democratization of advanced analytics are making A/B testing accessible to hotels of all sizes. Cloud-based A/B testing platforms offer scalability, flexibility, and cost-effectiveness, empowering small and medium hotels to compete with larger counterparts in digital innovation. The expansion of global tourism, coupled with rising investments in hospitality technology infrastructure, is expected to sustain market growth over the forecast period. However, the market’s trajectory will also depend on the pace of digital adoption in emerging regions and the ability of vendors to deliver user-friendly, integrated solutions that address the unique needs of diverse hotel operators.

From a regional perspective, North America currently dominates the A/B Testing for Hotel Websites market, accounting for the largest revenue share in 2024. This leadership is attributed to the region’s advanced digital ecosystem, high internet penetration, and the strong presence of major hotel chains and technology vendors. Europe follows closely, benefiting from a mature hospitality sector and increasing investments in digital transformation initiatives. The Asia Pacific region is anticipated to exhibit the fastest growth rate over the forecast period, driven by the rapid expansion of the tourism industry, rising internet adoption, and the growing appetite for technology-driven guest engagement solutions among hotels in countries such as China, India, and Southeast Asia.

Component Analysis

The A/B Testing for Hotel Websites market by component is segmented into software and services, each playing a pivotal role in enabling hotels to optimize their digital presence. The software segment comprises A/B testing platforms and tools that allow hoteliers to design, implement, and analyze experiments on their websites. These solutions are increasingly leveraging artificial intelligence and machine learning to automate test creation, personalize guest experiences, and provide ac

This dataset provides information on Benefits Amounts for Income Supplement and the Allowances according to income level and marital status. This is updated on a quarterly basis. The following tables of amounts will provide you with the amount of your monthly benefit, which will be based on your age, income level and marital status. The dataset is updated for October - December 2025 quarter.

In 2023, Meta Platforms had a total annual revenue of over 134 billion U.S. dollars, up from 116 billion in 2022. LinkedIn reported its highest annual revenue to date, generating over 15 billion USD, whilst Snapchat reported an annual revenue of 4.6 billion USD.

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