This statistic shows the critical attributes that determine which art sales website online buyers purchase art from in 2019. During the survey, ** percent of the respondents stated that the quality of the art on offer is a critical attribute when deciding on which art sales website to purchase online from.

Comprehensive YouTube channel statistics for Next Zone , featuring 137,000 subscribers and 184,035 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in IN. Track 190 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

According to Cognitive Market Research, the global Website Builder market size was 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. Busin...

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

Comprehensive YouTube channel statistics for Website Learners, featuring 2,820,000 subscribers and 230,203,039 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in IN. Track 681 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Estimations revealed that the fast fashion giant Shein generated an annual revenue of ***** billion U.S. dollars in 2024. This is a significant increase since 2016, when the company supposedly reached a revenue of only *** 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.

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Description:

The advertising dataset captures the sales revenue generated with respect to advertisement costs across multiple channels like radio, tv, and newspapers.

It is required to understand the impact of ad budgets on the overall sales.

Acknowledgement:

The dataset is taken from Kaggle

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the sales w.r.t a single & multiple features.
• Also evaluate the models & compare their respective scores like R2, RMSE, etc.

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.

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.

Attributes	Key Insights
Historical Size, 2023	USD 8220.0 million
Estimated Size, 2024	USD 8220.0 million
Projected Size, 2034	USD 42909.2 million
Value-based CAGR (2024 to 2034)	16.2%

Semi Annual Market Update

Particular	Value CAGR
H1, 2023	14.7% (2023 to 2033)
H2, 2023	15.2% (2023 to 2033)
H1, 2024	16.2%(2024 to 2034)
H2, 2024	16.4% (2024 to 2034)

Country-wise Insights

Country	Value CAGR (2024 to 2034)
USA	15.1%
Germany	13.1%
UK	14.6%
China	17.3%
India	18.8%

Category-wise Insights

Component	Solution
Share (2024)	59.5%

Deployment	Cloud infrastructure
CAGR (2024-2034)	17.3%

🎬 Top Movies Ultimate Dataset

📌 Dataset Overview

This dataset provides a comprehensive collection of financial and performance metrics for 6,500+ movies, scraped from The Numbers. It includes key details such as production budget, box office revenue (domestic & international), estimated DVD/Blu-ray sales, release dates, ratings, and more.

Designed for film industry analysis, revenue forecasting, and data-driven insights, this dataset offers a deep dive into Hollywood's box office performance.

🏆 Source

The data was scraped from The Numbers, a well-known website for movie financial data. The dataset covers thousands of movies, including major blockbusters, indie films, and international releases.

📊 Data Fields

Here’s a breakdown of the columns available in this dataset:

🎥 General Movie Information

• ID – Unique identifier for each movie
• Movie Name – Title of the movie
• Release Date – Date when the movie was released in theaters
• MPAA Rating – Age classification (e.g., PG, R, etc.)
• Running Time (minutes) – Duration of the movie
• Franchise – The movie's franchise (if applicable)
• Keywords – Keywords describing the movie’s themes

💰 Financial Performance

• Production Budget (USD) – Estimated cost to produce the movie
• Domestic Gross (USD) – Total earnings in the US & Canada
• Worldwide Gross (USD) – Total earnings across all regions
• Domestic Box Office (USD) – Domestic Gross
• International Box Office (USD) – Revenue from international markets
• Worldwide Box Office (USD) – Total worldwide earnings
• Infl. Adj. Dom. BO (USD) – Domestic revenue adjusted for inflation
• Opening Weekend (USD) – Revenue generated during the opening weekend
• Legs – A measure of how well a movie performed after its opening weekend (domestic box office/biggest weekend))

📀 Home Video & Digital Sales

• Est. Domestic DVD Sales (USD) – Estimated DVD sales revenue
• Est. Domestic Blu-ray Sales (USD) – Estimated Blu-ray sales revenue
• Total Est. Domestic Video Sales (USD) – Combined video sales revenue

🎭 Production & Genre Details

• Source – Whether the movie is an original screenplay, adaptation, etc.
• Genre – Primary genre (e.g., Action, Comedy, Drama)
• Production Method – Live-action or animated
• Creative Type – Storytelling category (e.g., Fantasy, Superhero, Historical)
• Production/Financing Companies – Studios involved in production
• Production Countries – Countries where the movie was produced
• Languages – Languages spoken in the movie

🎟️ Theatrical & Digital Releases

• Domestic Releases – Number of domestic releases
• International Releases – Number of international releases
• Theater Counts – Number of theaters the movie was released in
• Domestic Share Percentage – Domestic box office share of total revenue
• Video Release Date – Date when the movie was released for home viewing

🔗 Additional Information

• Movie URL – Direct link to the movie’s page on The Numbers

🔥 Potential Uses

This dataset can be used for:
✅ Box Office Predictions – Predicting movie revenue based on historical data
✅ Market Trends Analysis – Analyzing trends in production budgets and earnings
✅ Movie Comparisons – Comparing performance across genres, franchises, and studios
✅ Financial Modeling – Creating models for investment in films
✅ Exploratory Data Analysis (EDA) – Discovering insights into movie performance

🛠 Data Cleaning

The dataset has been processed to remove duplicates, standardize currency values, and handle missing data where applicable. Numeric values have been formatted consistently, and categorical fields have been standardized.

⚠️ Limitations

• Dynamic Data – Box office earnings, streaming revenue, and rankings may change over time.
• Missing Values – Some movies have incomplete financial data, especially older or lesser-known titles.
• Inflation Adjustments – Only domestic box office earnings have inflation-adjusted values but using it you can calculate the inflation and get other inflation-adjusted earnings if you want.

📌 Note to Users

1. "Gross" vs. "Box Office" Columns:

   • Columns like Domestic Gross (USD) and Domestic Box Office (USD) (and their worldwide counterparts) contain identical values. This reflects source conventions (The Numbers), where terms are used interchangeably.
   • Tip: Use either column for analysis. Future updates may consolidate these.

2. Worldwide Gross (US...

Comprehensive YouTube channel statistics for Web Dev Cody, featuring 262,000 subscribers and 24,959,133 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in US. Track 1,198 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

The Website Builder Tool Market is estimated to be valued at USD 6.2 billion in 2025 and is projected to reach USD 65.1 billion by 2035, registering a compound annual growth rate (CAGR) of 26.6% over the forecast period.

Metric	Value
Website Builder Tool Market Estimated Value in (2025 E)	USD 6.2 billion
Website Builder Tool Market Forecast Value in (2035 F)	USD 65.1 billion
Forecast CAGR (2025 to 2035)	26.6%

Gross earnings per head: by place of residence from the Annual Survey of Hours and Earnings (ASHE), ONS.

This data set provides information about earnings of employees who are living in an area, who are on adult rates and whose pay for the survey pay-period was not affected by absence.
ASHE is based on a sample of employee jobs taken from HM Revenue & Customs PAYE records (177,000 returns in 2009). Information on earnings and hours is obtained in confidence from employers. ASHE does not cover the self-employed nor does it cover employees not paid during the reference period.

The earnings information presented relates to gross pay before tax, National Insurance or other deductions, and excludes payments in kind.

The confidence figure is the coefficient of variation (CV) of that estimate. The CV is the ratio of the standard error of an estimate to the estimate itself and is expressed as a percentage. The smaller the coefficient of variation the greater the accuracy of the estimate. The true value is likely to lie within +/- twice the CV.

Results for 2003 and earlier exclude supplementary surveys. In 2006 there were a number of methodological changes made.

The headline statistics for ASHE are based on the median rather than the mean. The median is the value below which 50 per cent of employees fall. It is ONS's preferred measure of average earnings as it is less affected by a relatively small number of very high earners and the skewed distribution of earnings. It therefore gives a better indication of typical pay than the mean.

The best figure to use for comparing earnings for men and women, is the hourly earnings excluding overtime. Including overtime can distort the picture as men work relatively more overtime than women.

Survey data from a sample frame, use caution if using for performance measurement and trend analysis
'#' These figures are suppressed as statistically unreliable.
! Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2).

Visit ONS website

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.

It was estimated that, in 2021, websites that repeatedly published fake news generated 2.6 billion U.S. in advertising revenue worldwide. In the United States only, the figure stood at 1.62 billion U.S. dollars. The revenue comes from programmatic advertising, whose buying is an automatized process, and advertisers have little influence on where and around what kind of content their ads are placed.

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.

The web hosting market volume of Russian internet steadily expanded throughout the observed period. In 2018, the market volume was measured at about 7.5 billion Russian rubles. The estimate for 2019 predicted the revenue would almost double in size with respect to its 2013 level.

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.

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