In 2023, the value of the media and entertainment market reached 2.83 trillion U.S. dollars, experiencing a growth of five percent compared to 2022. In the following years the growth is set to slow down, but dollar figures are expected reach 3.4 trillion by the end of 2028. Entertainment and media market revenue – additional informationThe entertainment and media market encompasses every broadcasting medium from newspapers, magazines, TV and radio and popular forms of entertainment such as film, music and books.The compound annual growth rate of the entertainment and media spending worldwide has been predicted between 2022 and 2026, by sector. Projections indicated that the sector which will see the most compound annual growth rate will be data consumption, at 26 percent, followed by virtual reality, which will grow by 24 percent during the stated time. In comparison, newspapers and magazines publishing is expected to shrink on an annual basis by two percent in the same period.

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AI Market In Media And Entertainment Industry Size 2024-2028

The AI market in media and entertainment industry size is forecast to increase by USD 30.73 billion at a CAGR of 26.4% between 2023 and 2028. The market is experiencing significant growth, driven by the usage of multimodal AI to enhance consumer experience, analyze audience behavior, and automate content production. Multimodal AI, which combines text, speech, and visual data, is revolutionizing media and entertainment by enabling personalized recommendations, real-time sentiment analysis, and advanced content creation. Additionally, the utilization of blockchain technology is gaining traction in the industry, offering secure and transparent data sharing, and ensuring data privacy and security. Furthermore, the reliance on external sources of data to train AI models is a key trend, as media and entertainment companies seek to leverage diverse datasets to improve their offerings and stay competitive. These factors are expected to fuel market growth in the coming years.

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Artificial Intelligence (AI) is revolutionizing the media and entertainment industry by enhancing various applications, including game play, fake story recognition, plagiarism detection, production planning, talent discovery, and virtual creation. AI's integration in media and entertainment is enabling high-definition graphics, real-time virtual worlds, and internet video streaming on Ott platforms. In the gaming sector, AI is used to create intelligent opponents, personalize gameplay experiences, and analyze player behavior for sales and marketing purposes. Social media platforms leverage AI and Machine Learning (ML) for natural language processing to provide personalized content recommendations. AI is also transforming sports analysis by generating live footage and identifying patterns to enhance the online gaming experience. Overall, AI is a game-changer in the media and entertainment industry, offering innovative solutions in content creation, distribution, and consumption. Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

Further, AI-powered rendering engines can create lifelike visuals by analyzing data from real-world environments and applying it to virtual creations. This not only enhances the viewing experience for consumers but also reduces production costs by allowing for more efficient and cost-effective production. AI is also being used to improve the online gaming experience. Real-time virtual worlds can be created using AI, allowing players to interact with each other and their environment in a better way. AI-generated live footage is also being used to enhance sports analysis, providing more accurate and detailed information to broadcasters and fans. In the realm of sales and marketing, AI is being used to analyze consumer behavior and preferences to create targeted marketing campaigns.

AI-powered chatbots can interact with customers, providing personalized recommendations and support. Additionally, AI can be used to analyze social media trends and identify potential marketing opportunities. In conclusion, AI is transforming the media and entertainment industry in numerous ways, from gameplay and talent discovery to high-definition graphics and sales and marketing. As AI and ML technologies continue to advance, we can expect to see even more innovative applications in this industry.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Technology

  Machine learning
  Computer vision
  Speech recognition


End-user

  Media companies
  Gaming industry
  Advertising agencies
  Film production houses


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  South America



  Middle East and Africa

By Technology Insights

The machine learning segment is estimated to witness significant growth during the forecast period. The media and entertainment industry has witnessed significant advancements with the integration of artificial intelligence (AI) and machine learning (ML) technologies. ML, in particular, has been instrumental in revolutionizing video data management and analysis. One illustration of this trend is the latest developments in object storage solutions, such as those provided by Wasabi Technologies. These solutions incorporate AI and ML capabilities for automated tagging of video data, facilitating efficient storage in S3-compatible object storage systems.

Success.ai’s Connected TV Data for Broadcast Media & Entertainment Professionals Worldwide offers a comprehensive dataset tailored for businesses seeking to engage with key decision-makers and innovators in the broadcast and entertainment industries. Covering professionals from global media corporations, production studios, streaming platforms, and ad-tech companies, this dataset provides verified contact numbers, email addresses, and geographic location data.

With access to over 700 million verified global profiles and 30 million company profiles, Success.ai ensures your outreach, marketing, and strategic planning are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution empowers businesses to thrive in the dynamic world of connected TV and entertainment.

Why Choose Success.ai’s Connected TV Data?

1. Verified Contact Data for Precision Targeting

   • Access verified phone numbers, work emails, and LinkedIn profiles of professionals in broadcast media, OTT platforms, and connected TV ecosystems.
   • AI-driven validation ensures 99% accuracy, minimizing wasted efforts and maximizing campaign efficiency.

2. Comprehensive Global Coverage

   • Includes profiles of professionals and companies from major entertainment hubs like Los Angeles, London, Mumbai, Seoul, and more.
   • Gain insights into regional content trends, technology adoption, and market opportunities across continents.

3. Continuously Updated Datasets

   • Real-time updates reflect changes in leadership, business expansions, content strategies, and technology investments.
   • Stay aligned with fast-evolving industry trends and maintain relevance in your outreach efforts.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and lawful use of data for your campaigns.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with decision-makers, content creators, and tech innovators in broadcast media and entertainment worldwide.
• 30M Company Profiles: Access detailed firmographic data, including company sizes, revenue ranges, and geographic locations.
• Contact and Location Data: Gain direct access to verified phone numbers, email addresses, and physical office locations for strategic outreach.
• Leadership Profiles: Engage with CEOs, CTOs, production heads, and ad-tech professionals shaping connected TV strategies.

Key Features of the Dataset:

1. Decision-Maker Profiles in Media & Entertainment

   • Identify and connect with executives, content strategists, and technology leaders driving innovation in connected TV and broadcast media.
   • Target professionals responsible for ad placement, content distribution, and audience engagement.

2. Firmographic and Geographic Insights

   • Access detailed business information, including company hierarchies, geographic locations, and operational structures.
   • Pinpoint key players in regional markets and identify emerging content hubs.

3. Advanced Filters for Precision Campaigns

   • Filter companies by segment (streaming platforms, cable networks, production studios), geographic location, company size, or revenue range.
   • Tailor outreach to align with specific industry challenges, such as audience targeting, ad-tech integration, or content localization.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and improve engagement outcomes with media professionals.

Strategic Use Cases:

1. Ad-Tech and Marketing Solutions

   • Present innovative ad-placement technologies, audience analytics tools, or campaign management platforms to ad-buyers and media strategists.
   • Build relationships with professionals managing programmatic ad campaigns and audience segmentation strategies.

2. Content Distribution and Partnerships

   • Engage with streaming platforms, OTT services, and broadcast networks exploring partnerships for content distribution or technology integration.
   • Foster alliances to expand content reach, improve viewer engagement, or enhance monetization strategies.

3. Market Research and Consumer Trends

   • Analyze trends in content consumption, connected TV adoption, and audience preferences to refine your product or service offerings.
   • Leverage these insights to identify untapped opportunities and create competitive advantages.

4. Recruitment and Talent Solutions

   • Engage HR professionals and production leads seeking top talent for roles in media production, ad-tech development, or content marketing.
   • Offer workforce optimization solutions or recruitment services tailored to the media and entertainment industries.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality connected TV data at competitive prices, ensuring ...

This dataset is about companies and is filtered where the industry is Entertainment, featuring 8 columns including city, company, country, domain, and employee type. The preview is ordered by revenues (descending).

This dataset is about companies and is filtered where the industry is Entertainment, featuring 25 columns including CEO, CEO approval, CEO gender, city, and company. The preview is ordered by revenues (descending).

The Big Data market for Telecommunications and Media & Entertainment is experiencing robust growth, driven by the increasing volume of data generated by these sectors and the need for advanced analytics to extract valuable insights. This market is projected to reach a significant size, with a Compound Annual Growth Rate (CAGR) fueling expansion. Let's assume, based on typical industry growth rates for related sectors, a conservative market size of $50 billion in 2025 and a CAGR of 15% for the forecast period (2025-2033). This implies substantial expansion, reaching an estimated market value exceeding $150 billion by 2033. This growth is propelled by several key factors. Firstly, the proliferation of connected devices and the rise of streaming services generate massive datasets requiring sophisticated Big Data solutions for effective management and analysis. Secondly, the need for personalized experiences, targeted advertising, and fraud detection in the telecommunications and media sectors are driving demand for advanced analytics capabilities offered by Big Data technologies. Furthermore, the increasing adoption of cloud-based deployment models and the emergence of innovative technologies like AI and machine learning are further accelerating market growth. However, challenges remain. Data security and privacy concerns continue to be significant hurdles, requiring robust security measures and compliance with evolving regulations. Integration complexities across diverse data sources and the need for skilled professionals capable of managing and interpreting Big Data also pose restraints to market expansion. Nevertheless, the overall trend points towards continued, albeit potentially moderated, growth, with the market segmented by application (Telecommunications, Media & Entertainment), type (Software, Hardware), and deployment models (cloud, on-premises, hybrid). The competitive landscape is crowded, with major players such as Microsoft, Google, AWS, IBM, and others vying for market share through innovative solutions and strategic partnerships. The regional breakdown reveals strong growth across North America and Europe, while Asia-Pacific is emerging as a significant growth market, driven by increasing digital adoption and technological advancements.

In the industries of travel, entertainment, and transportation, success hinges on understanding the intricate web of locations that shape consumer experiences. dataplor's comprehensive dataset offers an unparalleled view into this global landscape, providing businesses and organizations with the actionable insights they need to thrive.

What's Inside the Dataset:

-Venue Variety: From airports and resorts to entertainment venues and transportation hubs, our dataset covers a vast array of locations that define the TET landscape.

-Detailed Profiles: Delve into the specifics of each venue, including official names, addresses, and more.

-Categorization: Gain a clear understanding of each location's role within the industry through precise categorization by segment (travel, entertainment, transportation) and sub-category (e.g., athletic club, beer hall, comedy club, luxury hotel).

-Location Precision: Pinpoint the exact location of each venue with latitude and longitude coordinates, ensuring accuracy for mapping, analysis, and decision-making.

How Our Data Drives Success:

-Strategic Planning: Identify untapped markets, assess competition, and make informed decisions about new ventures or expansions.

-Targeted Marketing: Develop tailored marketing campaigns that resonate with specific audiences based on location demographics and interests.

-Resource Optimization: Improve operational efficiency by understanding the distribution and utilization of transportation infrastructure and entertainment venues.

-Enhanced Customer Experiences: Utilize data-driven insights to create personalized experiences that meet the unique needs and preferences of travelers and consumers.

Empower Your Strategy:

dataplor's Global Travel, Entertainment & Transportation Locations Dataset is your key to unlocking the full potential of the travel, entertainment, and transportation industries. With our precise, comprehensive, and up-to-date data, you'll gain the competitive edge needed to navigate this dynamic landscape and achieve your business goals.

Market Overview:

The United States social media analytics market size is projected to exhibit a growth rate (CAGR) of 18.30% during 2025-2033. The increasing utilization of social media by users, rising emphasis on personalized marketing strategies, the widespread integration of artificial intelligence (AI) and machine learning (ML), and the burgeoning awareness about the importance of customer feedback represent some of the key factors driving the market.

Social media analytics refers to the process of gathering, analyzing, and interpreting data from social media platforms to understand online interactions and trends. They combine advanced analytics techniques, like text analysis and sentiment analysis, with user engagement metrics to provide insights into social media behavior. Social media analytics utilize algorithms, artificial intelligence (AI), and machine learning (ML) to process vast amounts of unstructured social media data. They include various types, such as descriptive, diagnostic, predictive, and prescriptive analysis, designed to manage large data volumes from various platforms. Social media analytics are utilized in various applications, including market research, customer service, public relations, sentiment analysis, trend analysis, competitive analysis, influencer identification, brand monitoring, campaign performance, and content optimization. They aid in enhancing customer insights, improving marketing strategies, providing real-time feedback, increasing return on investment (ROI), supporting crisis management, tracking audience engagement, and managing brand reputation. Furthermore, social media analytics are known for their data-driven decision-making, cost-effectiveness, scalability, versatility, accessibility, real-time analysis, user-friendliness, customizability, and comprehensive data visualization.

United States Social Media Analytics Market Trends:

The increasing utilization of social media by users, leading to the demand for advanced analytics tools capable of handling large and complex datasets, is fostering the market growth. Besides this, the rising emphasis on personalized marketing strategies, as companies leverage social media analytics to tailor their marketing efforts, is providing a thrust to the market growth. Along with this, the widespread integration of artificial intelligence (AI) and machine learning (ML) in social media analytics tools, enabling more sophisticated data processing and insight generation, is creating a positive outlook for the market growth. In line with this, the growing adoption of technologies that facilitate the analysis of unstructured data, sentiment analysis, and predictive modeling, providing businesses with actionable insights to form their strategies, is favoring the market growth. Apart from this, the burgeoning awareness about the importance of customer feedback in shaping business strategies is enhancing the market growth. Furthermore, the increasing adoption of social media analytics tools by companies to monitor customer opinions and feedback in real-time, allowing them to respond to consumer needs and market changes quickly, is acting as a growth-inducing factor. Along with this, the heightened investment in digital marketing, as businesses allocate more resources to online platforms, prompting the need for robust analytics tools, is providing a thrust to the market growth. In addition to this, the rising integration of social media analytics with other business intelligence tools, providing a more holistic view of the customer's journey, is offering lucrative growth opportunities for the market.

United States Social Media Analytics Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2025-2033. Our report has categorized the market based on component, deployment mode, organization size, application, and end user.

Component Insights:

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• Solutions
• Services
  

The report has provided a detailed breakup and analysis of the market based on the component. This includes solutions and services.

Deployment Mode Insights:

• On-premises
• Cloud-based
  

A detailed breakup and analysis of the market based on deployment mode have also been provided in the report. This includes on-premises and cloud-based.

Organization Size Insights:

• Small and Medium-sized Enterprises
• Large Enterprises
  

The report has provided a detailed breakup and analysis of the market based on the organization size. This includes small and medium-sized enterprises and large enterprises.

Application Insights:

• Customer Segmentation and Targeting
• Competitor Benchmarking
• Multichannel Campaign Management
• Customer Behavioral Analysis
• Marketing Management
  

A detailed breakup and analysis of the market based on application have also been provided in the report. This includes customer segmentation and targeting, competitor benchmarking, multichannel campaign management, customer behavioral analysis, and marketing management.

End User Insights:

• BFSI
• Media and Entertainment
• Travel and Hospitality
• IT and Telecom
• Retail
• Healthcare
• Others
  

The report has provided a detailed breakup and analysis of the market based on the end user. This includes BFSI, media and entertainment, travel and hospitality, IT and telecom, retail, healthcare, and others.

Regional Insights:

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• Northeast
• Midwest
• South
• West
  

The report has also provided a comprehensive analysis of all the major regional markets, which include the Northeast, Midwest, South, and West.

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape in the market. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

United States Social Media Analytics Market Report Coverage:

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

Jordanian Employment: Female: Arts, Entertainment and Recreation data was reported at 20.000 Person in 2016. This records an increase from the previous number of 16.000 Person for 2015. Jordanian Employment: Female: Arts, Entertainment and Recreation data is updated yearly, averaging 20.000 Person from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 39.000 Person in 2011 and a record low of 15.000 Person in 2013. Jordanian Employment: Female: Arts, Entertainment and Recreation data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Jordan – Table JO.G011: Jordanian Employment: by Industry.

The Hong Kong Data Center Rack Market is Segmented by Rack Size (Quarter Rack, Half Rack, Full Rack), by End User (IT & Telecommunication, BFSI, Government, and Media & Entertainment). The Market Sizes and Forecasts are Provided in Terms of Volume (Units) for all the Above Segments.

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching 149 zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than 394 zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just two percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of 19.2 percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached 6.7 zettabytes.

Dataset Name: BBC Articles Sentiment Analysis Dataset

Source: BBC News

Description: This dataset consists of articles from the BBC News website, containing a diverse range of topics such as business, politics, entertainment, technology, sports, and more. The dataset includes articles from various time periods and categories, along with labels representing the sentiment of the article. The sentiment labels indicate whether the tone of the article is positive, negative, or neutral, making it suitable for sentiment analysis tasks.

Number of Instances: [Specify the number of articles in the dataset, for example, 2,225 articles]

Number of Features: 1. Article Text: The content of the article (string). 2. Sentiment Label: The sentiment classification of the article. The possible labels are: - Positive - Negative - Neutral

Data Fields: - id: Unique identifier for each article. - category: The category or topic of the article (e.g., business, politics, sports). - title: The title of the article. - content: The full text of the article. - sentiment: The sentiment label (positive, negative, or neutral).

Example: | id | category | title | content | sentiment | |----|-----------|---------------------------|-------------------------------------------------------------------------|-----------| | 1 | Business | "Stock Market Surge" | "The stock market has surged to new highs, driven by strong earnings..." | Positive | | 2 | Politics | "Election Results" | "The election results were a mixed bag, with some surprises along the way." | Neutral | | 3 | Sports | "Team Wins Championship" | "The team won the championship after a thrilling final match." | Positive | | 4 | Technology | "New Smartphone Release" | "The new smartphone release has received mixed reactions from users." | Negative |

Preprocessing Notes: - The text has been preprocessed to remove special characters and any HTML tags that might have been included in the original articles. - Tokenization or further text cleaning (e.g., lowercasing, stopword removal) may be necessary depending on the model and method used for sentiment classification.

Use Case: This dataset is ideal for training and evaluating machine learning models for sentiment classification, where the goal is to predict the sentiment (positive, negative, or neutral) based on the article's text.

Vietnam Productivity: Arts, Entertainment & Recreation data was reported at 104.900 VND mn in 2017. This records an increase from the previous number of 88.900 VND mn for 2016. Vietnam Productivity: Arts, Entertainment & Recreation data is updated yearly, averaging 76.900 VND mn from Dec 2005 (Median) to 2017, with 11 observations. The data reached an all-time high of 104.900 VND mn in 2017 and a record low of 61.600 VND mn in 2008. Vietnam Productivity: Arts, Entertainment & Recreation data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G047: Productivity by Industry: VSIC 2007.

Success.ai’s LinkedIn Data for Creative Industry Professionals enables businesses and organizations to connect with global creators, designers, and innovators in the digital, artistic, and creative fields. With access to over 700 million verified LinkedIn profiles, this dataset provides actionable insights and contact details for graphic designers, content creators, photographers, artists, and other professionals in the creative space. Whether your goal is to identify collaborators, market tools tailored to creatives, or analyze emerging trends in the industry, Success.ai ensures your outreach is supported by accurate, enriched, and continuously updated data.

Why Choose Success.ai’s LinkedIn Data for Creative Industry Professionals? Comprehensive Professional Profiles

Access verified LinkedIn profiles of creative professionals, including designers, illustrators, animators, content marketers, photographers, and digital creators. Gain AI-driven validation for accuracy, ensuring minimal bounce rates and effective communication. Global Coverage Across Creative Sectors

Includes professionals from various industries, such as advertising, media, entertainment, technology, and fashion. Covers key markets like North America, Europe, APAC, and emerging creative hubs worldwide. Continuously Updated Dataset

Reflects real-time professional updates, role changes, and new industry trends to keep your targeting relevant and effective. Tailored for Creative Insights

Enriched profiles include work history, professional achievements, areas of expertise, and creative specialties for deeper audience understanding. Data Highlights: 700M+ Verified LinkedIn Profiles: Access a vast network of verified creative professionals worldwide. 100M+ Work Emails: Direct communication with designers, creators, and industry leaders. Enriched Professional Histories: Gain insights into career trajectories, collaborations, and creative projects. Industry-Specific Segmentation: Target creatives in advertising, film, tech, and more with precision filters. Key Features of the Dataset: Creative Industry Profiles

Identify and connect with graphic designers, UX/UI specialists, motion graphic artists, video editors, photographers, and other creative professionals. Engage with individuals who drive innovation in marketing, branding, and design. Detailed Firmographic Data

Leverage firmographic insights, including company size, industry focus, and regional activity, to tailor your approach to specific creative segments. Advanced Filters for Targeting

Refine your search by job title, creative specialty, region, or years of experience for precision outreach. Customize campaigns based on emerging design trends, content needs, or artistic expertise. AI-Driven Enrichment

Enhanced datasets deliver actionable data for personalized campaigns, highlighting creative portfolios, awards, and career milestones. Strategic Use Cases: Product Marketing and Outreach

Promote design software, content creation tools, or creative platforms to designers, video editors, and content strategists. Engage with professionals who shape marketing campaigns, advertising, and digital media production. Talent Acquisition and Recruitment

Target creative recruiters, agency leads, and in-house HR professionals seeking designers, animators, and content creators. Simplify hiring for roles requiring artistic and technical expertise. Collaboration and Partnerships

Identify collaborators for design projects, creative campaigns, or artistic ventures. Build partnerships with agencies, freelance networks, and individual creators for co-branded initiatives. Market Research and Trend Analysis

Explore shifts in creative technologies, design aesthetics, and artistic practices across global markets. Use insights to refine product development and marketing strategies. Why Choose Success.ai? Best Price Guarantee

Get industry-leading data quality at unmatched pricing, ensuring your campaigns are cost-effective and impactful. Seamless Integration

Easily integrate LinkedIn Data into your CRM or marketing platforms with downloadable formats or API access. AI-Validated Accuracy

Rely on 99% data accuracy to minimize waste and maximize engagement outcomes in your campaigns. Customizable Solutions

Tailor datasets to focus on specific creative fields, industry verticals, or geographical areas, ensuring a perfect fit for your objectives. Strategic APIs for Enhanced Campaigns: Data Enrichment API

Update your internal records with verified creative profiles for better audience targeting and engagement. Lead Generation API

Automate lead generation to maintain a steady flow of qualified creative professionals, scaling your campaigns efficiently. Success.ai’s LinkedIn Data for Creative Industry Professionals empowers you to connect with the creative minds shaping today’s industries. With verified contact details, enriched prof...

Vietnam GDP: Year to Date: Service: Arts, Entertainment & Recreation data was reported at 22,518.600 VND bn in Sep 2018. This records an increase from the previous number of 13,973.205 VND bn for Jun 2018. Vietnam GDP: Year to Date: Service: Arts, Entertainment & Recreation data is updated quarterly, averaging 14,455.103 VND bn from Dec 2012 (Median) to Sep 2018, with 24 observations. The data reached an all-time high of 29,990.000 VND bn in Dec 2017 and a record low of 4,216.079 VND bn in Mar 2013. Vietnam GDP: Year to Date: Service: Arts, Entertainment & Recreation data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.A006: Gross Domestic Product: By Industry: Current Price: Quarterly.

The big data market size is projected to grow from USD 262.87 billion in the current year to USD 1,019 billion by 2035, representing a CAGR of 13.10%, during the forecast period till 2035.

United States PPI: Svcs: FR: Other Receipts data was reported at 140.357 Dec2004=100 in Jan 2025. This records an increase from the previous number of 138.055 Dec2004=100 for Dec 2024. United States PPI: Svcs: FR: Other Receipts data is updated monthly, averaging 108.700 Dec2004=100 from Dec 2004 (Median) to Jan 2025, with 242 observations. The data reached an all-time high of 140.357 Dec2004=100 in Jan 2025 and a record low of 99.900 Dec2004=100 in May 2006. United States PPI: Svcs: FR: Other Receipts data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I101: Producer Price Index: by Industry: Services: Arts, Entertainment and Recreation.

The Report Covers Global CDP Market Statistics & Companies. The Market is Segmented by Deployment Mode (Cloud, On-Premise), Organization Size (Small & Medium Enterprises, Large Enterprises), End-User (Retail & E-Commerce, BFSI, Media & Entertainment, IT & Telecommunication, Healthcare), and Geography. The Market Sizes and Forecasts are in Terms of Value (USD) for all the Above Segments.

According to the most recent data, the global theatrical and home/mobile entertainment market made nearly 100 billion U.S. dollars in revenue in 2021. Digital home and mobile video entertainment accounted for the largest revenue share, surpassing box office in 2019 for the first time.