AI (artificial intelligence) in media & entertainment encompasses the integration of artificial intelligence technologies into various facets of the media & entertainment industry. AI in this context refers to the application of machine learning, deep learning and other AI-related technologies such as cloud-based technologies to enhance, automate and innovate processes and products within the media & entertainment sector.
The AI in media & entertainment market consists of sales of AI in media & entertainment products and services by entities (organizations, sole traders and partnerships) that develop, deploy and utilize AI tools to create, distribute and manage content across different media formats, including film, television, gaming, music and digital media.
The global AI in media & entertainment market was valued at $4,796.6 million in 2018 which grew till 2023 at a compound annual growth rate (CAGR) of more than 23.0%.
Growing Demand For Cloud Computing
During the historic period, the growing demand for cloud computing supported the growth of the AI in media & entertainment market. As cloud services became more prevalent, they offered the computational power and scalable storage necessary for handling the vast amounts of data generated by AI algorithms. This accessibility allowed media companies to deploy sophisticated AI tools for tasks such as content creation, recommendation systems and data analysis. Consequently, the synergy between cloud computing and AI facilitated more innovative and efficient approaches in media production, distribution and personalization, driving considerable advancements in the industry. For example, in according to AAG, a UK-based IT services provider, global public cloud service revenue surged past $415 billion in 2022, increasing from $343 billion in 2021. Google Cloud, a suite of cloud computing services offered by Google, an American multinational corporation, began 2023 with a market share of 11%, growing 1% in Q4 2022 compared to the same point in 2021. Therefore, the growing demand for cloud computing supported the growth of the AI in media & entertainment market.
Advancements In Image Predictive Analytics For Speed And Efficiency
Major companies in the market are focusing on image predictive analytics enabling more personalized and efficient content creation and distribution. By analyzing visual data patterns, AI can forecast viewer preferences, optimize content recommendations and even automate the creation of compelling visual media tailored to specific audience segments. For example, in August 2024, Sakana AI, a Japanese AI startup, introduced EvoSDXL-JP, an image generation model built via Evolutionary Model Merge, which delivers 10x faster image generation for Japanese styles. EvoSDXL-JP, is now available on the HuggingFace platform for research and educational purposes, followed by an accessible demo for immediate testing. The model that can support Japanese and generate Japanese style images by fusing different open models. Compared to the existing Japanese model, the inference speed is 10 times faster, but it shows better performance in the benchmark.
The global AI in media & entertainment market is fragmented, with a large number of players operating in the market. The top ten competitors in the market made up to 7.78% of the total market in 2023.
AI In Media & Entertainment Global Market Opportunities And Strategies To 2033 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global AI in media & entertainment market as it emerges from the COVID-19 shut down.
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Where is the largest and fastest-growing market for AI in media & entertainment? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The AI in media & entertainment market global report from The Business Research Company answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider AI in media & entertainment market; and compares it with other markets.
The report covers the following chapters
- Introduction and Market Characteristics- Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by solution, by technology and by application.
- Key Trends- Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Macro-Economic Scenario- The report provides an analysis of the impact of the COVID-19 pandemic, impact of the Russia-Ukraine war and impact of rising inflation on global and regional markets, providing strategic insights for businesses in the AI in media & entertainment market.
- Global Market Size And Growth- Global historic (2018-2023) and forecast (2023-2028, 2033F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
- Regional And Country Analysis- Historic (2018-2023) and forecast (2023-2028, 2033F) market values and growth and market share comparison by region and country.
- Market Segmentation- Contains the market values (2018-2023) (2023-2028, 2033F) and analysis for each segment by solution, by technology and by application in the market. Historic (2018-2023) and forecast (2023-2028) and (2028-2033) market values and growth and market share comparison by region market.
- Regional Market Size and Growth- Regional market size (2023), historic (2018-2023) and forecast (2023-2028, 2033F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape- Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major And Innovative Companies Details on the company profiles of other major and innovative companies.
- Competitive Benchmarking- Briefs on the financials comparison between major players in the market.
- Competitive Dashboard- Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions- Information on recent mergers and acquisitions in the market is covered in the report. This section gives key financial details of mergers and acquisitions which have shaped the market in recent years.
- Market Opportunities And Strategies- Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions And Recommendations- This section includes recommendations for AI in media & entertainment providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix- This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
- 1) By Solution: Hardware/Equipment; Services
- 2) By Technology: Machine Learning (ML); Natural Language Processing (NLP); Other Technologies
- 3) By Application: Gaming; Fake Story Detection; Plagiarism Detection; Production Planning And Management; Sales And Marketing; Talent Acquisition; Content Capture; Sports Automatic Production
- Companies Mentioned: Amazon.Com, Inc (Amazon Web Services Inc); The Walt Disney Company; EVS Broadcast Equipment S.A.; Pixellot Ltd.; Production Resource Group, L.L.C.
- Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; Italy; Spain; UK; Russia
- Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
- Time-series: Five years historic and ten years forecast.
- Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; AI in media & entertainment indicators comparison.
- Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.
- Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.