Source: Market.Us
December 07, 2023 03:13 ET
Generative AI in Media and Entertainment Market Business to
Reach USD 11,570 million by 2032 | Amid rising demand for virtual
reality (VR) and gaming industries
The rapid evolution of artificial intelligence technologies, notably in domains like neural networks
and deep learning, has substantially elevated the capabilities of generative AI algorithms. This
transformation enables creators and artists to craft content with heightened realism and complexity,
fostering the creation of high-quality, immersive experiences.
New York, Dec. 07, 2023 (GLOBE NEWSWIRE) -- As per newly released report by Market.us, Generative
AI in Media and Entertainment Market size is poised to cross USD 1,743.6 million in 2024 and is likely to
attain a valuation of USD 11,570 million by 2032. The Generative AI in Media and Entertainment industry
share is projected to develop at a CAGR of 26.3% from 2022 to 2032.
Generative AI is transforming the world of entertainment and media and is bringing about a revolution
in innovation and changing the way content is produced and consumed. This cutting-edge technology
uses artificial intelligence algorithms that create innovative and distinctive media content such as
videos, images music, as well as virtual environments or characters. One of the most significant ways
that the generative AI can make a difference is through the ability to create personalized as well as
interactive experience. By analyzing user preferences and behaviors, these generative AI algorithms can
produce specific content that is appealing to the individual viewers. This personalization boosts the
engagement of viewers and creates an immersive and customized entertainment experience.
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Key Takeaway:
Market Growth: The Generative AI in Media and Entertainment market is expected to reach a
valuation of USD 11,570.0 million by 2032, with a high CAGR of 26.3%.
Cloud Dominance: Cloud-based deployments hold a significant market share (52.7%) due to their
processing capabilities and global collaboration capabilities, expected to grow at a rate of 26.5%.
On-Premises Segment: In the music industry, the on-premises segment is projected to be worth
USD 5,398.2 million in 2032, driven by deep learning and data analytics technology.
Text-to-Image Segment: Text-to-Image generation is democratizing content creation and is
expected to reach a value of USD 2,644.9 million by 2032, fostering collaboration between AI and
human artists.
Impact on Gaming: AI is revolutionizing the gaming sector, with a projected market value of USD
4,817.2 million by 2032, enhancing graphics, gameplay, and player experiences.
Transformation in Film & Television: AI plays a crucial role in scripting, character animation, and
content personalization in the film and television industry, expected to reach USD 2,056.5 million
by 2032.
Marketing Efficiency: The advertising and marketing sector is set to grow to USD 2,428.7 million
by 2032, as AI automates creative content generation, offering personalization and efficiency.
Music Industry Evolution: AI-driven music composition, sound effects, and mastering tools are
streamlining creative processes in the music industry, with a projected value of USD 1,341.5 million
by 2032.
VR & AR: Augmented Reality (AR) and Virtual Reality (VR) are projected to be worth USD 394.6
million in 2032, thanks to AI’s ability to create content autonomously.
Regional Dominance: North America leads the market with a 40.6% revenue share in 2022,
followed by Europe, Asia Pacific, Latin America, and the Middle East & Africa.
Key Players: Major companies like Alphabet Inc., Microsoft Corporation, IBM Corporation, and
others are driving advancements in Generative AI in Media and Entertainment.
Recent Developments: Companies like Amazon, Google, Microsoft, and NVIDIA have made
significant announcements in the AI space, indicating ongoing innovation and investment.
Factors are contributing to the growth and revolution of generative AI in the media and
entertainment industry
Advancements in AI Technology: The rapid advances of artificial intelligence technologies,
specifically in areas like neural networks and deep learning which have greatly improved the
capabilities of the generative AI algorithms. This has enabled more realistic and sophisticated
creation of content, allowing creators and artists to create high-quality and immersive
experiences.
Increasing Demand for Personalized Experiences: Consumers today seek personalized and
interactive experiences across various media platforms. Generative AI enables the creation of
tailored content that caters to individual preferences and behaviors. This demand for
personalization is driving the adoption of generative AI in the media and entertainment industry
to deliver customized and engaging experiences to users.
Enhanced Visual and Audio Effects: Generative AI algorithms have the ability to generate realistic
and visually stunning graphics, special effects, and lifelike characters. This enhances the overall
production value of films, games, and virtual reality experiences. The availability of advanced visual
and audio effects through generative AI is attracting content creators who want to push creative
boundaries and deliver captivating content.
Content Automation and Scalability: Artificial Intelligence can automate repetitive tasks
associated with creating content, for example making background music, generating visually
appealing assets or creating variants of content. Automation helps to save time and money and
allows creators of content to concentrate on more challenging and innovative areas of work.
Collaborations and Partnerships: Collaboration between AI technology providers and media
companies is driving the adoption and integration of generative AI solutions in the industry. These
partnerships aim to enhance content creation processes, improve user experiences, and explore
new creative possibilities. By working together, AI technology providers and media companies can
leverage each other's expertise to accelerate innovation in generative AI applications.
Accessible Tools and Platforms: Technology giants and specialized companies are developing
user-friendly tools and platforms that make generative AI more accessible to content creators.
These tools provide intuitive interfaces and pre-built models that simplify the process of using
generative AI algorithms, empowering artists and filmmakers to incorporate generative AI into
their workflows without requiring extensive technical knowledge.
Rising Popularity of Virtual Reality and Gaming: The growing popularity of virtual reality (VR) and
gaming has created a demand for immersive and interactive experiences. Generative AI plays a
crucial role in creating realistic virtual environments, characters, and interactive elements that
enhance the overall VR and gaming experiences. This demand is driving the adoption of
generative AI in these sectors.
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Top Trends in the Global Generative AI in Media and Entertainment Market
Deepfake Technology: Deepfake refers to the use of generative AI to create highly realistic and
convincing fake media, such as videos or images. While this technology raises ethical concerns, it
has gained attention for its potential in entertainment. Deepfake technology allows for the
creation of hyper-realistic visual effects, character replacements, and even virtual performances by
deceased celebrities.
AI-generated Music and Soundtracks: Generative AI algorithms are now being used to compose
and generate music and soundtracks. AI-powered music composition platforms can analyze vast
amounts of musical data, learn patterns, and generate original compositions in various genres.
Virtual Characters and Influencers: Generative AI allows the creation of characters and influencers
who can interact with their audiences in a realistic way. These characters controlled with AI
algorithms, are able to interact with users, offer individualized recommendations, and appear in
games or movies.
AI-assisted Content Creation: Generative AI is employed to assist creators of content in all areas of
creation. AI algorithms are able to automate tasks like scriptwriting editing videos, and postproduction effects, thereby saving time and improving efficiency. With the help of the power of
generative AI Content creators are able to concentrate on their creative side using AI-powered
tools to improve their workflow and speed up the process of creating content.
Regional Analysis
In terms of regional analysis, North America stands out as the dominant player in the Generative AI in
Media and Entertainment market. In 2022, North America accounted for a significant 40.6% revenue
share, with the United States and Canada leading the way. The region benefits from advanced
technological infrastructure and high digital technology adoption. Generative AI has found widespread
integration into various facets of the entertainment industry in North America, including music, video
game development, film production, and virtual reality experiences. This integration streamlines
processes and fosters creative expression.
Europe follows closely behind, with a 22.2% market share in 2023. Europe leverages its diverse cultural
heritage and robust creative industries. European tech startups and companies are actively investing in
AI for music composition and film production, fostering innovative collaborations between the
technology and creative sectors.
The Asia Pacific region is experiencing robust growth, with a projected market value of approximately
USD 3,704.6 million by 2032. This growth is driven by increased adoption of content creation tools and
widespread internet access. The region is witnessing a surge in generative AI adoption, making it a
significant player in the market.
Latin America is also catching up, with generative AI adoption valued at USD 58.8 million in 2023 and
expected to reach USD 539.1 million by 2032. This growth is driven by increased smartphone adoption
and technological advancements.
Lastly, the Middle East and Africa are exhibiting substantial growth, with a projected market value of
USD 323.6 million by 2032. This growth is fueled by affordable AI technologies that are transforming
content creation and personalization in the region.
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Competitive Landscape
The competitive landscape of the market has also been examined in this report. Some of the major
players include:
Alphabet Inc.
Microsoft Corporation
IBM Corporation
Nvidia Corporation
Adobe Inc.
Autodesk, Inc.
Unity Software Inc.
OpenAI, Inc.
Synthesis AI
Epic Games, Inc.
Other Key Players
Scope of the Report
Report Attributes
Market Value (2023)
Forecast Revenue 2032
CAGR (2023 to 2032)
North America Revenue Share
Base Year
Historic Period
Forecast Year
Details
US$ 1,412.7 Million
US$ 11,570.0 Million
26.3%
40.6%
2022
2016 to 2022
2023 to 2032
Market Drivers
The global Generative AI in Media and Entertainment market is experiencing transformative growth,
primarily driven by the evolving needs of content creation and enhancement. Generative AI enables the
creation of highly personalized content, tailored to meet the diverse preferences of a global audience. In
today's media landscape, where audience engagement is crucial, this personalized approach helps in
maintaining viewer interest and loyalty.
AI-driven tools facilitate faster content production, significantly reducing the time and labor costs
associated with traditional content creation. This is especially important in industries such as gaming,
film, and advertising, where there is a continuous demand for new and innovative content. The ability to
quickly generate high-quality content not only accelerates production cycles but also allows for scaling
up operations to meet market demands more effectively. Moreover, AI algorithms can analyze vast
amounts of consumer data to predict trends and preferences. This insight is invaluable for content
creators as it guides them in developing content that is more likely to resonate with their target
audiences.
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Market Restraints
Ethical concerns significantly restrain the global Generative AI in media and entertainment market. The
primary issue revolves around the ownership and copyright of AI-generated content. When AI creates
music or entertainment, it's challenging to determine who holds the copyright – the creator of the AI,
the user who prompted the AI, or the AI itself. This uncertainty leads to potential legal disputes and
hesitance among creators and investors to fully embrace the Deployment Mode.
Additionally, there's the concern of authenticity and originality. AI systems might inadvertently replicate
existing copyrighted material, causing unintentional infringement. The ethical dilemma extends to the
potential loss of jobs in creative industries, as AI could replace human composers and entertainers.
Market Opportunities
Virtual influencers and characters represent a significant opportunity factor for the global Generative AI
market in media and entertainment. These AI-powered entities are transforming the industry by
bridging the gap between reality and virtuality, offering unique opportunities for brand collaborations
and providing consistent, engaging content.
Several virtual influencers have made remarkable strides in the music industry, signing record deals and
engaging fans through music content and challenges. The versatility of AI influencers allows them to
cater to diverse interests and demographics, making them a valuable asset for brands and marketers.
Report Segmentation of the Generative AI in Media and Entertainment Market
Deployment Mode Analysis
In the global Generative AI market for media and entertainment, the cloud-based segment holds a
significant position. As of 2023, this segment accounted for the largest revenue share of 52.7% and is
projected to grow at a CAGR of 26.5%. Cloud deployment offers extensive computing resources
necessary for complex AI algorithms, leading to faster processing and rendering times for high-quality
real-time content creation. It also provides scalability and facilitates global team collaboration, allowing
for easy sharing, editing, and updating of AI models among teams.
On the other hand, the on-premises segment in the music industry is expected to be worth USD 5,398.2
million by 2032. This growth, estimated at a CAGR of 26.2%, is largely attributed to advances in deep
learning and data analysis technologies. Artists are increasingly using online platforms and visually
engaging content for success and recognition.
By Type Analysis
The global Generative AI market for media and entertainment is experiencing significant growth. The
Text-to-Image segment is valued at USD 299.3 million in 2022 and projected to reach USD 2,644.9
million by 2032. This segment democratizes content creation and fosters collaboration between AI and
human artists, making content creation more accessible.
Other segments, such as Video Generation, 3D Modeling and Animation, Gaming, Film and Television,
Advertising and Marketing, Music and Sound Production, and VR/AR, are also poised for substantial
growth. They are transforming the landscape of media and entertainment through innovative
applications of generative AI technologies. This dynamic market is characterized by rapid
advancements, creative collaborations, and a broad spectrum of applications beyond traditional sectors.
By Application Analysis
The global Generative AI in Media and Entertainment market is poised for remarkable growth across
various segments, driven by the transformative capabilities of artificial intelligence.
In 2022, the gaming segment led the way with a valuation of USD 477.7 million, projected to surge
to an impressive USD 4,817.2 million by 2032. AI is revolutionizing video game development,
enhancing graphics, gameplay, and overall player experience.
The Film and Television segment, valued at USD 201.4 million in 2022, is expected to reach USD
2,056.5 million by 2032. AI is playing a pivotal role in scripting, character animation, and content
personalization, as exemplified by movies like “The Lion King” and AI-driven content
recommendation algorithms.
The Advertising and Marketing sector, valued at USD 246.8 million in 2022, is projected to grow to
USD 2,428.7 million by 2032. AI is automating creative content generation for marketing
campaigns, offering personalization and efficiency.
The Music and Sound Production segment, valued at USD 130.3 million in 2022, is set to expand to
USD 1,341.5 million by 2032. AI-driven music composition, sound effects, and mastering tools are
streamlining creative processes in the music industry.
Augmented Reality and Virtual Reality, valued at USD 44.3 million in 2022, are expected to reach
USD 394.6 million by 2032, thanks to AI’s ability to autonomously create immersive content.
Furthermore, the Other Applications segment, valued at USD 58.0 million in 2022, is projected to
grow to USD 531.5 million by 2032, encompassing various innovative AI applications beyond the
primary categories.
Market Segments
By Deployment Mode
Cloud-Based
On-Premise
By Type
Text-to-Image Generation
Image-to-Image Generation
Music Generation
Video Generation
3D Modeling and Animation
By Application
Gaming
Film & Television
Advertising & Marketing
Music & Sound Production
Virtual Reality (VR) and Augmented Reality (AR)
Other Applications
By Geography
North America
The US
Canada
Europe
Germany
France
The UK
Spain
Italy
Russia
Netherland
Rest of Europe
APAC
China
Japan
South Korea
India
Australia
New Zealand
Singapore
Thailand
Vietnam
Rest of APAC
Latin America
Brazil
Mexico
Rest of Latin America
Middle East & Africa
South Africa
Saudi Arabia
UAE
Rest of MEA
Recent Developments
In November 2023, Amazon unveiled its business chatbot, leveraging generative artificial
intelligence to synthesize content, streamline daily communications, and assist employees in tasks
such as generating blog posts.
In September 2023, Google introduced AI-powered features on YouTube, designed to elevate the
capabilities of video creators. Notably, the 'Dream Screen' feature incorporates AI-generated video
backgrounds into short-form videos.
Also in November 2023, Microsoft introduced GPT-3.5 Turbo 1106 and GPT-4 Turbo via the Azure
OpenAI Service.
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