The size of the Indian film industry dipped to *** billion Indian rupees in 2024. Industry experts attributed the decline to multiple factors, such as the limited number of big-name blockbuster releases that year. This was coupled with the underperformance of several big-budget films across languages at the box office. However, forecasts predict film revenue to resurge by 2027. Indian Box office India has one of the oldest and the largest film industries globally, with Bollywood reigning over the box office. Prior to the advent of the COVID-19 pandemic, India’s box office revenue grossed over *** billion Indian rupees. Post-pandemic, the return of movie-goers to theaters led to average movie ticket prices growing. The rise of OTT platforms across India Video streaming services, or over-the-top (OTT) platforms, gained immense popularity among Indians, especially, during the pandemic and subsequent lockdowns, when they were restricted to their homes. The online video market in India comprises a mix of global and local players contending for the attention of over *** million users. However, none of these streaming platforms have been able to penetrate the market quite like YouTube.

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of motion picture and video production (NAICS 512110), annual, for five years of data.

Bollywood 2023 Movie Dataset

Welcome to the Bollywood 2023 Movie Dataset, a comprehensive compilation that provides a detailed glimpse into the cinematic landscape of the year. This dataset encapsulates key attributes for each movie release, offering invaluable insights into the industry's performance, financial metrics, and audience reception.

Dataset Attributes:

Release Date: The date when each movie graced the silver screen, marking its entry into the cinematic world.

Movie Name: The distinctive title that defines each cinematic creation, contributing to the diversity of Bollywood's storytelling.

Worldwide Collection: The total box office earnings globally, reflecting the movie's success on the international stage.

India Hindi Net: The net box office collection within India for movies primarily released in the Hindi language.

India Gross: The gross box office collection within India, encompassing all revenues generated by the movie.

Overseas: The box office earnings from international markets, shedding light on the movie's global appeal.

Budget: The estimated or reported budget allocated for the production of each movie, indicating the financial scale of the project.

Verdict: A classification that summarizes the movie's overall performance, encompassing factors such as profitability, critical acclaim, and audience reception.

This dataset is a treasure trove for cinephiles, industry analysts, and enthusiasts seeking to explore the financial and qualitative aspects of Bollywood cinema in the year 2023. Dive into the world of movie releases, financial success stories, and audience verdicts as you navigate through this rich repository of Bollywood cinematic data.

In 2024, box office revenues for South Indian language films in the Indian film industry reached ** billion Indian rupees, an increase from the previous year. Additionally, Bollywood films recorded a revenue of ** billion rupees, while Hollywood films generated **** billion rupees that year.  Turbulent times for the Indian box office   Due to lockdowns and social distancing resulting from the COVID-19 pandemic, there were significantly fewer theatrical releases of Indian films in 2020. As a result, the industry braced itself for box office revenues to fall steeply after significant growth over the preceding decade. Despite this setback, Indian box office revenues still ranked among the top ten in the world in 2020. What’s more, the value of the Indian film industry is expected to recover to pre-pandemic levels by the end of fiscal year 2022.  A world leader in cinema    India has consistently been the world leader in the number of films produced annually. In addition, India is the number two country in terms of film tickets sold. Finally, the Indian film industry has wide reach, with Indian theatrical releases generating significant international box office revenues.

The Indian film industry employed over ******* people in the financial year 2024. Meanwhile, the overall employment opportunity, including indirect and induced impact, created by the sector amounted to over a couple million during the same period. Forecasts suggest that the film industry's contributions to employment in India will continue to grow.

Film Genre Statistics

Movie genre statistics and revenue data from 1995-2018

By Throwback Thursday [source]

About this dataset

This dataset contains genre statistics for movies released between 1995 and 2018. It provides information on various aspects of the movies, such as gross revenue, tickets sold, and inflation-adjusted figures. The dataset includes columns for genre, year of release, number of movies released in each genre and year, total gross revenue generated by movies in each genre and year, total number of tickets sold for movies in each genre and year, inflation-adjusted gross revenue that takes into account changes in the value of money over time, title of the highest-grossing movie in each genre and year, gross revenue generated by the highest-grossing movie in each genre and year, and inflation-adjusted gross revenue of the highest-grossing movie in each genre and year. This dataset offers insights into film industry trends over a span of more than two decades

How to use the dataset

Understanding the Columns

Before diving into the analysis, let's familiarize ourselves with the different columns in this dataset:

• Genre: This column represents the genre of each movie.
• Year: The year in which the movies were released.
• Movies Released: The number of movies released in a particular genre and year.
• Gross: The total gross revenue generated by movies in a specific genre and year.
• Tickets Sold: The total number of tickets sold for movies in a specific genre and year.
• Inflation-Adjusted Gross: The gross revenue adjusted for inflation, taking into account changes in the value of money over time.
• Top Movie: The title of the highest-grossing movie in a specific genre and year.
• Top Movie Gross (That Year): The gross revenue generated by the highest-grossing movie in a specific genre and year.
• Top Movie Inflation-Adjusted Gross (That Year): The inflation-adjusted gross revenue of the highest-grossing movie in a specific genre and year.

Analyzing Data

To make use of this dataset effectively, here are some potential analyses you can perform:

• Find popular genres: You can determine which genres are popular by looking at columns like Movies Released or Tickets Sold. Analyzing these numbers will give you insights into what types of movies attract more audiences.

• Measure financial success: Explore columns like Gross, Inflation Adjusted Gross, or Top Movie Gross (That Year) to compare the financial success of different genres. This will allow you to identify genres that generate higher revenue.

• Understand movie trends: By analyzing the dataset over different years, you can observe trends in movie releases and gross revenue for specific genres. This information is crucial for understanding how movie preferences change over time.

• Identify highest-grossing movies: The column Top Movie gives you the title of the highest-grossing movie in each genre and year. You can use this information to analyze the success of specific movies within their respective genres.

Data Visualization

To enhance your analysis, consider using data visualization techniques

Research Ideas

• Predicting the popularity and success of movies in different genres: By analyzing the data on tickets sold and gross revenue, we can identify trends and patterns in movie genres that attract more audiences and generate higher revenue. This information can be useful for filmmakers, production studios, and investors to make informed decisions about which genres to focus on for future movie releases.
• Comparing the performance of movies over time: With the inclusion of inflation-adjusted figures, this dataset allows us to compare the box office success of movies across different years. We can analyze how movies in specific genres have performed over time in terms of gross revenue and adjust these figures for inflation to get a better understanding of their true financial success.
• Analyzing the impact of genre popularity on ticket sales: By examining the relationship between genre popularity (measured by tickets sold) and total gross revenue, we can gain insights into audience preferences and behavior. This information is valuable for marketing strategies, as it helps determine which movie genres are most likely to attract a larger audience base and generate higher ticket sales

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns...

This table contains 56 series, with data for years 2006 - 2011 (not all combinations necessarily have data for all years), and was last released on 2015-07-28. This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...), North American Industry Classification System (NAICS) (1 items: Motion picture and video production ...), Summary statistics (4 items: Operating revenue; Operating profit margin; Salaries; wages and benefits; Operating expenses ...).

Description: This dataset provides comprehensive movie statistics compiled from multiple sources, including Wikipedia, The Numbers, and IMDb. It offers a rich collection of information and insights into various aspects of movies, such as movie titles, production dates, genres, runtime minutes, director information, average ratings, number of votes, approval index, production budgets, domestic gross earnings, and worldwide gross earnings.

The dataset combines data scraped from Wikipedia, which includes details about movie titles, production dates, genres, runtime minutes, and director information, with data from The Numbers, a reliable source for box office statistics. Additionally, IMDb data is integrated to provide information on average ratings, number of votes, and other movie-related attributes.

With this dataset, users can analyze and explore trends in the film industry, assess the financial success of movies, identify popular genres, and investigate the relationship between average ratings and box office performance. Researchers, movie enthusiasts, and data analysts can leverage this dataset for various purposes, including data visualization, predictive modeling, and deeper understanding of the movie landscape.

Features: - Movie_title - Production_date - Genres - Runtime_minutes - Director_name (primaryName) - Director_professions (primaryProfession) - Director_birthYear - Director_deathYear - Movie_averageRating : refers to the average rating given by online users for a particular movie - Movie_numberOfVotes : refers to the number of votes given by online users for a particular movie - Approval_Index :is a normalized indicator (on scale 0-10) calculated by multiplying the logarithm of the number of votes by the average users rating. It provides a concise measure of a movie's overall popularity and approval among online viewers, penalizing both films that got too few reviews and blockbusters that got too many. - Production_budget ( $) - Domestic_gross ($) - Worldwide_gross ($)

Potential Applications:

Box office analysis: Analyze the relationship between production budgets, domestic and worldwide gross earnings, and profitability. Genre analysis: Identify the most popular genres based on movie counts and analyze their performance. Rating analysis: Explore the relationship between average ratings, number of votes, and financial success. Director analysis: Investigate the impact of directors on movie ratings and financial performance. Time-based analysis: Study movie trends over different production years and observe changes in production budgets, box office earnings, and genre preferences. By utilizing this dataset, users can gain valuable insights into the movie industry and uncover patterns that can inform decision-making, market research, and creative strategies.

The source forecast that, by the end of 2022, the annual revenue of the global film production and distribution industry would amount to **** billion U.S. dollars. As of mid-2022, the sector employed almost *** thousand people in a little more than ** thousand businesses worldwide. China, the North American market (a term that includes the United States and Canada and excludes Mexico), and Japan were the world's leading box office markets by revenue in 2021.

The most successful Bollywood movie at the global box office was 'Dangal', which generated over ** billion Indian rupees in box office takings worldwide as of 2025. The list was populated by several productions either starring or directed by actor, Aamir Khan. Indian films beyond Bollywood Many believe that Bollywood is synonymous with the Indian film industry, but there is far more to it than that. Bollywood is the Hindi language film industry based in Mumbai and is just one component of the larger Indian film industry, which is made up of various production centers in various languages. Nowadays, South Indian films have a growing fan base not just among native speakers but also Hindi audiences and the Indian diaspora worldwide. Tamil and Telugu cinema, respectively known as Kollywood and Tollywood, are among the major contributors of Indian cinema in terms of both revenue and releases. Asia's leading film markets When it comes to Asian cinema, Bollywood isn’t the only multi-million dollar film industry. Chinese films are also proving to be popular with audiences, considering the box office revenue of the most successful movies of all time in China. As of May 2018, the most successful movie ever in China was Chinese director Wu Jing's action film ‘Wolf Warriors 2’, and in second place was 'Operation Red Sea' which generated ******* million Yuan at the Chinese box office.

BollyBAIT: A Clickbait Categorization & Bollywood Characteristics Dataset

Identifying, Categorizing & Analyzing Bollywood Videos

By [source]

About this dataset

Welcome to BollyBAIT -- the revolutionary dataset designed to explore the categorization of clickbaits, real/non-clickbaits and characteristics of Bollywood videos! This first-of-its-kind dataset focuses on 1000 Bollywood videos, 500 of which are clickbait and 500 are real/non-clickbait videos. As Bollywood is a distinctive domain where content ranges from video interviews with celebs to trailer launches, songs, movie trailers and social media news updates this dataset provides invaluable insights into this industry.

Prepare yourself for data mining as you will gain unparalleled insight into the popularity of Bollywood content, audience attitudes and preferences towards various topics, comparative understanding between an exaggerated or misleading video and one that is truthful or informative – all these without ever leaving the comfort of your desk! This dataset can be used by market researchers in order identify clickbaits in order develop even more effective digital advertisement strategies for their campaigns as well as help protect consumers from false promises perpetuated by misleading digital messaging. So explore - analyze – search within this amazing new resource – get started with BollyBAIT today! Columns: Title, Channel Title, Label

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How to use the dataset

How to Use This Dataset

This dataset offers a valuable resource for data scientists, researchers, and anyone interested in exploring the categorization of clickbaits and real/non-clickbait videos in Bollywood. Users can also gain insights into the characteristics of Bollywood movies from this dataset. In order to use this dataset, users will need basic understanding and experience with data manipulation software like Excel or SPSS. Additionally, users should be familiar with basic statistical analysis such as descriptive statistics, hypothesis testing and regression analysis.

To get started, the first step is to download the data set from Kaggle. Once you have downloaded it on your local machine the next step is to open it either using Excel or an appropriate statistical package like SPSS (IBM Package) or RStudio (Cross-Platform). The columns contain information about each video such as title, channel title (the title of the channel that uploaded the video), label (whether it is clickbait or not) and BollyBAIT_dataset.csv containing detailed information about 1000 videos such as video IDs and URLs related to each video.

After opening up your sheet you can start carrying out exploratory data analysis using descriptive statistics methods like mean & median etc., testing different hypotheses by running t-test/ANOVA/, performing regression analysis on categories according to labels present in each row; plotting charts/graphs etc., which could help understanding deeper insights about categorization of Clickbaits & real non-clickbaits videos in Bollywood along with characteristic trends in various domains related its content production usages etc.. It might take some time for a novice user but once your comfortable playing around with these technologies - there would be endless possibilities you come across with this great dataset! Enjoy Exploring!

Research Ideas

• Developing video categorization models and discovering underlying types of content in Bollywood videos.
• Creating a classifier to detect whether a video is clickbait or not by using the label information provided in the dataset.
• Analyzing domain-specific data trends like popularity of certain actors, genres, movie trends and identifying viral video trends within the Bollywood industry

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: BollyBAIT_dataset.csv | Column name | Description | |:------------------|:--------------------------------------------------------------------------------| | **Titl...

The Graphic Films Market Report is Segmented by Film Type (Opaque, Transparent, Translucent, and Reflective), Polymer (Polyvinyl Chloride (PVC), Polypropylene (PP), Polyethylene (PE), and More), Printing Technology (Digital, Flexography, Rotogravure, Screen Printing), End-User (Automotive, Advertising and Promotion Agencies, Building and Construction, and More), and Geography. The Market Forecasts are Provided in Value (USD).

This statistic illustrates the jobs created by the film and television industry across India in financial year 2017 and financial year 2022. The jobs created by the television and film industry across the country was estimated to be **** millions in financial year 2022, up from about **** million jobs in financial year 2017.

The Optical Film Market is segmented by Type (Polarizing Film, Backlight Unit Film, ITO Film, and Others), Application (Televisions, Desktop Monitors and Laptops, Smartphones and Tablets, Signage/Large Format Display, and Others), and Geography (Asia-Pacific, North America, Europe, South America, and Middle-East and Africa)

This dataset provides a detailed analysis of global box office performance from 2000 to 2024. It includes information on movies released during this period, covering key metrics such as release dates, genres, production budgets, worldwide gross, and more. The dataset aims to assist researchers, data scientists, and movie enthusiasts in exploring trends in the film industry, analyzing profitability, and understanding audience preferences over the years.

Key Features: 1. Timeframe: 2000–2024 2. Metrics: Revenue, production budget, profit margins, and more 3. Genres: Covers various genres to analyze trends in audience preferences 4. Insights: Ideal for trend analysis, profitability studies, and forecasting

This dataset is ideal for: - Machine learning projects such as predicting box office success - Exploratory data analysis (EDA) for trends in the movie industry - Research on the evolution of filmmaking economics

Note: All data is curated from publicly available sources.

The industry profile based on foreign and domestic sales which includes all members under film, television and video post-production industry (NAICS 512190) for one year of data.

The film production industry is volatile, as it relies on investments in the production of feature films, particularly from the US. This means external factors significantly sway the industry's success, like the USD-GBP exchange rate, film tax incentives and credit availability. Advances in film production and creative developments worldwide also affect the industry. The global film market has been curbed by the weak performance of cinemas since the pandemic, with UK attendance struggling at 68% of 2019 levels, according to the UK Cinema Association. However, the growth of streaming platforms has provided studios with new revenue sources. Major platforms like Netflix and Disney+ have surged in subscriber numbers and are bringing in significant funding for filmmaking. The industry is projected to accelerate at a compound annual rate of 7.6% over the five years through 2025-26 to £8.1 billion. The UK Film Tax Relief programme has appealed to film producers and contributed to the expansion of UK studio capacity thanks to its 40% tax relief incentive, particularly with leading producers who provide inward investment. This has aided profit, particularly for blockbuster productions. In recent years, an expanding number of high-budget films have been produced in the UK thanks to its tax programme and high investments in improving studio facilities. Writer and actor strikes hampered production in 2023-24, leading to a temporary drop in revenue over the year as productions ground to a halt. Industry revenue is forecast to climb at a compound annual rate of 7.9% over the five years through 2030-31, reaching £11.8 billion. Recently agreed co-production treaties are likely to support the industry soon, allowing easier labour movement and movie distribution. The UK-EU trade deal can also aid inward investment and export sales to the bloc. The government's Global Screen Fund will support the industry as it partially offsets funding lost from Creative Europe. Long-term investments from major US studios have secured the UK as a hub for global blockbuster productions. Studios have also invested heavily in expanding their UK studio spaces and filming capacities, promoting high-scale motion picture production.

Soft touch film market is estimated to achieve a value of USD 2.9 billion in 2024. The industry is likely to reach beyond USD 3.9 billion by 2034. The CAGR for the same period is expected to be tapped at 3.1%. The sales of films with soft touch lamination are being promoted through better marketing strategies in the areas of commercial and industrial applications.

Attributes	Key Insights
Historical Size, 2023	USD 2.8 billion
Estimated Size, 2024	USD 2.9 billion
Projected Size, 2034	USD 3.9 billion
Value-based CAGR (2024 to 2034)	3.1%

Semi Annual Market Update

Particular	Value CAGR
H1	3.3% (2023 to 2033)
H2	2.9% (2023 to 2033)
H1	3% (2024 to 2034)
H2	3.4% (2024 to 2034)

Country-wise Insights

Countries	Value CAGR (2024 to 2034)
United States	1.9%
Canada	1.4%
Spain	2.7%
United Kingdom	1.8%
China	4.8%
India	5.5%

Category-wise Insights

Material	Polypropylene (PP)
Value Share (2024)	34.1%

Thickness	Packaging
Value Share (2024)	52.3%

As per sustainability objectives, recyclable and bio-based Mylar films are in the process of being developed by vendors. To achieve the eco-friendly materials needed worldwide, continuous innovation and industry-specific advancement are set to drive this market to grow at a forecasted CAGR of 7.1%, thereby reaching USD 5.5 billion by 2035.

Attribute	Details
Projected Value by 2035	USD 5.5 billion
CAGR during the period 2025 to 2035	7.1%

Vendor Performance

Category	Industry Share (%)
Top 3 (DuPont Teijin Films, Mitsubishi Polyester Film, Toray Plastics)	40%
Rest of Top 5 (Jindal Poly Films, Kolon Industries)	25%
Next 5 of Top 10 Players	5%

Type of Player	Industry Share (%)
Top 10	70%
Next 20	25%
Remaining Players	5%

Market Context

Region	North America
Market Share (%)	35%
Key Drivers	Advanced packaging technologies and high consumer demand

Region	Europe
Market Share (%)	30%
Key Drivers	Leadership in sustainability and innovation in film applications

Region	Asia-Pacific
Market Share (%)	25%
Key Drivers	Rapid industrial growth and expansion in electronics and food packaging

Region	Other Regions
Market Share (%)	10%
Key Drivers	Adoption in emerging markets for cost-effective and durable solutions

The size of the Polyester Polyurethane Film Industry market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 6.50">> 6.50% during the forecast period. Recent developments include: August 2022: BASF launched Thermoplastic Polyurethane Paint Protection Film from RODIM for improved car paint protection., April 2022: Covestro extended its TPU film production in Germany. The new capacity is expected to meet the growing global demand for multilayer TPU Films. It is used in construction, and automotive interiors, among other applications. This new facility is likely to be completed by 2023.. Key drivers for this market are: Increasing Usage in the Footwear and Apparel Industry, Other Drivers. Potential restraints include: The Rising Prices of Raw Materials, Other Restraints. Notable trends are: Footwear and Apparel Segment to Dominate the Market.