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.

Key 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. B...

Browse LSEG's I/B/E/S Estimates, discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.

In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

Estimations revealed that the fast fashion giant Shein generated an annual revenue of **** billion U.S. dollars in 2023. This is a significant increase since 2016, when the company supposedly reached a revenue of *** million U.S. dollars. Shein's benchmarks Among unicorn companies, or privately held companies with a market value at least *** billion U.S. dollars, Shein ranked in the top five with the highest valuations worldwide, totalling ** billion U.S. dollars in 2024. As a direct to consumer e-commerce unicorn, the company was ranked first as of December 2023. Additionally, when looking at the ranking of leading online stores in the fashion segment, Shein ranked second globally, further proving their widespread success as an e-commerce business. Who likes Shein? Who likes Shein? By the end of 2023, shein.com was the most popular fashion and apparel website worldwide by share of visits, followed by Nike and Macy’s websites. The age group that seemed to prefer using shein.com the most were the consumers between 25 and 34 years old, which accounted for over ** percent of global site visits. Of these consumers, the majority were women, making up over ** percent of visits.

According to Cognitive Market Research, the global Web Design market size is USD 56815.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.50% 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 22726.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 17044.56 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 13067.50 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.50% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 2840.76 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.90% 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 1136.30 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031.
The Illustrative Web Design held the highest Web Design market revenue share in 2024.

Market Dynamics of Web Design Market

Key Drivers for Web Design Market

Responsive Design is a Fundamental Component of Modern Website Development to Increase the Demand Globally

Driving the extensive adoption of mobile devices, responsive design become an indispensable element in modern web development. A responsive website adjusts its visual and textual elements in real-time to correspond with the screen size and orientation of the user's device. This ensures a seamless and continuous user experience across an extensive range of devices, encompassing desktop computers, smartphones, and tablets. The aforementioned adaptability not only enhances usability but also satisfies the growing expectations of customers who predominately utilize mobile devices for internet access.

User Experience (UX) Design Pertains to the Development of an Online Platform to Propel Market Growth

The establishment of a website that is not only functional but also pleasurable to use constitutes User Experience (UX) design. It involves developing a website that effectively satisfies the needs and behaviors of users, as well as understanding their functions and desires. This consists of interactive elements that guide visitors towards their intended goals, concise and clear text, and user-friendly navigation. UX design that is effective reduces user resistance and promotes smooth experiences, allowing for effortless content engagement, information retrieval, and transaction completion. As a result, this promotes increased user satisfaction and devotion. By placing emphasis on the visual aesthetics and sensory experience of the website, User Interface (UI) design serves to improve User Experience (UX). The procedure involves the intention of creating visually appealing layouts, determining appropriate color schemes, and ensuring consistency throughout multiple pages.

Restraint Factor for the Web Design Market

Web Developers Encounter Significant Constraints as a Result of User Privacy Mandates

Web developers encounter significant constraints as a result of user privacy mandates. Data privacy legislation, exemplified by the General Data Protection Regulation (GDPR) in Europe, has implemented stringent controls regarding the collection and administration of user data. Compliance with these regulations adds complexity to web development processes, necessitating the integration of explicit consent mechanisms, data minimization strategies, robust data storage and security measures, and user rights-enabling mechanisms (e.g., access to and deletion of personal data). In order to adhere to these legislative obligations, online developers must conduct a thorough assessment of their data management procedures. This underscores the criticality of privacy compliance in the context of modern online development.

Rapidly Changing Design Trends and Technological Standards Increase Obsolescence

The web design industry faces the constant challenge of keeping up with evolving design aesthetics, UX/UI expectations, and technical standards. What is considered modern and user-friendly today can quickly become outdated within a short span due to shifting cons...

The global sales of web content management are estimated to be worth USD 8220.0 million in 2024 and anticipated to reach a value of USD 42909.2 million by 2034. Sales are projected to rise at a CAGR of 16.2% over the forecast period between 2024 and 2034. The revenue generated by Web Content Management in 2023 was USD 8220.0 million. The market is anticipated to exhibit a Y-o-Y growth of 14.6% in 2024.

Semi Annual Market Update

Country-wise Insights

Category-wise Insights

According to Cognitive Market Research, the global Web Content Management (WCM) Market size will be USD 11624.8 million in 2025. It will expand at a compound annual growth rate (CAGR) of 19.60% from 2025 to 2033.

North America held the major market share for more than 37% of the global revenue with a market size of USD 4301.18 million in 2025 and will grow at a compound annual growth rate (CAGR) of 17.4% from 2025 to 2033.
Europe accounted for a market share of over 29% of the global revenue, with a market size of USD 3371.19 million.
APAC held a market share of around 24% of the global revenue with a market size of USD 2789.95 million in 2025 and will grow at a compound annual growth rate (CAGR) of 21.6% from 2025 to 2033.
South America has a market share of more than 3.8% of the global revenue, with a market size of USD 441.74 million in 2025 and will grow at a compound annual growth rate (CAGR) of 18.6% from 2025 to 2033.
Middle East had a market share of around 4% of the global revenue and was estimated at a market size of USD 464.99 million in 2025 and will grow at a compound annual growth rate (CAGR) of 18.9% from 2025 to 2033.
Africa had a market share of around 2.20% of the global revenue and was estimated at a market size of USD 255.75 million in 2025 and will grow at a compound annual growth rate (CAGR) of 19.3% from 2025 to 2033.
Traditional brackets category is the fastest growing segment of the Web Content Management (WCM) Market.

Market Dynamics of Web Content Management (WCM) Market

Key Drivers for Web Content Management (WCM) Market

Government-Led Digital Transformation Initiatives to Boost Market Growth

In recent years, Government-initiated digital transformation projects have strongly driven the expansion of the Web Content Management (WCM) market. In the United States, the General Services Administration (GSA) has played a leading role in supporting digital initiatives aimed at increasing transparency and service provision. The GSA's digital strategy focuses on the modernization of government IT infrastructure, supporting the use of cutting-edge technologies to enhance citizen participation and business efficiency. This strategic initiative requires strong WCM solutions to effectively manage and share digital content across different platforms. By giving top priority to digital transformation, the GSA seeks to make government services more accessible, user-friendly, and responsive to public needs. Such efforts highlight the importance of WCM systems in enabling smooth digital experiences, thus fueling their growing adoption in the public sector.

Increasing Adoption of Cloud-Based Solutions in Government Services To Boost Market Growth

Government bodies across the globe are increasingly turning to cloud-based platforms for increased scalability, data management, and service delivery, thus driving the growth of the Web Content Management (WCM) market. Within the European Union, the European Commission's "Digital Strategy" and the "European Cloud Initiative" prioritize the creation and integration of secure, interoperable cloud infrastructure across member states. These cloud-first policies are meant to revolutionize the way public services are delivered and governed, demanding strong WCM systems to handle and provide digital content reliably across cloud infrastructures. Cloud-based platforms guarantee quicker updates, real-time management of content, and enhanced interdepartmental collaboration, thus generating the demand for effective WCM tools. In addition, cloud adoption investment in the public sector demonstrates a more extensive strategy of increasing operational efficiency and citizen-centered services, showcasing the key role of WCM in digital environments.

Restraint Factor for the Web Content Management (WCM) Market

Data Privacy and Security Concerns in Government and Regulated Sectors, Will Limit Market Growth

One of the most significant constraints in the Web Content Management (WCM) market is increasing worry regarding data privacy and regulation compliance, especially in nations with strong digital legislation. Organizations are required to ensure safe handling, storage, and processing of user data based on the European Commission's General Data Protection Regulation (GDPR) and the U.S. Federal Trade Commission (FTC) guidelines. Non-compliance may result in severe penalties, causing companies to be h...

According to 2023 estimates, Booking Holdings' global revenue was evenly split between mobile and desktop bookings. As estimated, the online travel agency (OTA) generated revenue of roughly **** billion U.S. dollars through mobile devices and **** billion U.S. dollars via desktop bookings. In contrast, it was estimated that most of the Expedia Group and Airbnb's revenue came from desktop users that year. What are the most visited travel and tourism websites? In January 2024, booking.com topped the ranking of the most visited travel and tourism websites worldwide, ahead of tripadvisor.com and airbnb.com. When breaking down the visits to booking.com by country that month, the United States emerged as the leading market, followed by the United Kingdom and Germany. What are the most popular online travel agency apps worldwide? In 2024, Airbnb, Booking.com, and Expedia were among the most downloaded online travel agency apps worldwide. Booking.com is one of the leading brands of Booking Holdings, along with Priceline, Agoda, and Kayak. Meanwhile, Expedia is among the most popular brands of the Expedia Group, together with Vrbo, Hotels.com, and Trivago.

The dark web intelligence market was estimated at roughly *** million U.S. dollars in 2023. The market is projected to grow, exceeding *** billion U.S. dollars by 2027, and reaching nearly ***** billion U.S. dollars by 2032.

Beauty brand Ipsy – the largest creator-owned brand worldwide by revenue (estimated annual revenue of half a billion U.S. dollars) – had a monthly traffic of *** million visits to its website ipsy.com as of August 2022. Kylie Cosmetics, second in the revenue ranking, reported *** million monthly visits.

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, for 2010, the 2010 Census provides the official counts of the population and housing units for the nation, states, counties, cities and towns. For 2006 to 2009, the Population Estimates Program provides intercensal estimates of the population for the nation, 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 2006-2010 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, 2006-2010 American Community Survey

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program 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..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.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, 2018-2022 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..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..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..The 2018-2022 American Community Survey (ACS) data generally reflect the March 2020 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 OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.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, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Occupation titles and their 4-digit codes are based on the 2018 Standard Occupational Classification..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 2023 and later years are based on the 2022 revision of the NAICS. To allow for the creation of multiyear tables, industry data in the multiyear files (prior to data year 2023) were recoded to the 2022 Census industry codes. We recommend using caution when comparing data coded using 2022 Census industry codes with data coded using Census industry codes prior to data year 2023. 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..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distributi...

The revenue in the 'Collaboration Software' segment of the software market in Europe was forecast to continuously increase between 2025 and 2030 by in total ***** million U.S. dollars (+***** percent). After the ****** consecutive increasing year, the revenue is estimated to reach *** billion U.S. dollars and therefore a new peak in 2030. Notably, the revenue of the 'Collaboration Software' segment of the software market was continuously increasing over the past years.Find more information concerning Norway and Italy. The Statista Market Insights cover a broad range of additional markets.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.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, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.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, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

In 2022, the estimated net revenue of the U.S. book publishing industry amounted to **** billion U.S. dollars. This marks a small decrease from the previous year, but revenue remains stable and is an improvement on the figures recorded for previous years.

In 2023, Apple Inc. generated an estimated **** billion U.S. dollars in e-commerce net sales through its online store, apple.com. This was a decrease from the year before where it hit a peak of net sales on their website in 2022, at **** billion U.S. dollars. For more information please visit ecommerceDB.

The combined global revenue of the selected leading online travel agencies (OTAs) increased in 2024 over the previous year. Over the period considered, Booking Holdings reported the highest figure, generating **** billion U.S. dollars in 2024. That year, Expedia Group and Airbnb followed in the ranking, with revenue of around **** billion and **** billion U.S. dollars, respectively. What are the most visited travel websites? In 2025, booking.com, the website of Booking Holdings' flagship brand, topped the ranking of the most visited travel and tourism website worldwide, placing ahead of tripadvisor.com and airbnb.com. When looking at the traffic breakdown of booking.com by country, the United States, Germany, and the United Kingdom accounted for the highest share of website visits that year. How big is the online travel market? As estimated by the Statista Mobility Market Insights, online sales channels in the travel and tourism market worldwide generated roughly ** percent of total revenue in 2024. That year, travel and tourism market's global revenue, including hotels, package holidays, vacation rentals, camping, and cruises, exceeded *** billion U.S. dollars.