The Global Audio/Visual Generative AI Market was valued at $14.16 billion in 2023 and is projected to reach a market size of $132.59 billion by 2030. Over the forecast period of 2024-2030, market is projected to grow at a CAGR of 37.65%.
Visual and Audio Generative AI may be compared to a super-powered artist that creates whole new audio and visual content by studying previously created works. This kind of artificial intelligence looks for patterns in existing photos, movies, and music. It then utilises those patterns to create new sounds, write original songs, make original graphics, and even produce speech that sounds authentic. Although this technology is still in its infancy, it has the power to revolutionise a wide range of industries, including content development, gaming and film design, and accessibility solutions
Key Market Insights:
The global market for generative AI, which includes both audio and visual components, is expected to increase rapidly. Assuming a CAGR of 36.10%, estimates indicate a startling increase from $11.77 billion in 2023 to $256.72 billion by 2033.This suggests a market that is growing quickly and has a lot of possibilities for different competitors.
The media and entertainment sector dominates the generative AI market. It had a commanding share of more than 24.3% in 2023 and a strong CAGR of 36.4%. The industry's insatiable thirst for new material drives this domination, as generative AI enables artists to make realistic images, engaging characters, and immersive experiences while optimising procedures and increasing output.
North America's early embrace of this cutting-edge technology is seen in its present leadership position in the worldwide generative AI business. This implies that North American businesses may have a first-mover advantage in creating and implementing state-of-the-art audio/visual Generative AI systems.
Although the market for generative AI is expanding significantly, the picture creation area is growing at an exceptionally high rate. Experts forecast that picture creation would rise by around 148% annually in 2023, with a compound annual growth rate (CAGR) of 66% over the following five years. This quick increase reflects the enormous need for tools that can produce imaginative and realistic visuals on demand.
Global Audio/Visual Generative AI Market Drivers:
Content Personalisation is Being Revolutionised by Generative AI, Moving from Generic Ads to Highly Targeted Experiences
The era of universally applicable information and generic advertising is coming to an end. Customers of today need a personalised touch. Here, generative artificial intelligence (AI) becomes an effective tool for personalisation. Imagine using a music streaming service to create a playlist that isn't just based on songs you've listened to in the past but also on your mood, the outside temperature, or even forthcoming events. With the help of generative AI, which can analyse enormous volumes of user data, such as demographics, preferences, and historical behaviour, this degree of personalisation is possible. 73% of consumers anticipate that businesses will use their data to personalise their interactions. By leveraging that data to generate completely original audio and visual experiences that are personalised particularly for you, generative AI expands on this idea even further.
The market for audio/visual generative AI is being driven by widespread use across industries.
The market for audio/visual generative artificial intelligence is being significantly accelerated by an increase in industry-wide AI comfort. Forty percent of companies have either used AI solutions already or are actively preparing to do so. Tools for generative AI are well-positioned to benefit from this broad use of AI. Generative AI may be used in the media and entertainment industries to create customised movie trailers and music that appeals to audiences.AI may be used in marketing to create customised images and message for advertising campaigns that are based on the profiles of certain customers. Generative AI may be used by e-commerce platforms to generate unique product mock-ups or personalised product suggestions based on customer preferences. The market for audiovisual generative artificial intelligence is expanding significantly thanks to the combination of users' increasing familiarity with AI and generative tools' enormous potential.
Global Audio/Visual Generative AI Market Restraints and Challenges:
Although Audio/Visual Generative AI has promising opportunities, there are obstacles to overcome. Entry is hampered by the expensive prices and enormous volumes of data required to train these algorithms, particularly for smaller businesses. Due to the possibility of bias in training data producing discriminatory results, ethical issues are quite important. Uncertainty also surrounds copyright and ownership of work produced by AI. Because there is a lack of consistency among models, comparing and evaluating them is challenging, and it can be difficult to explain how they operate, which undermines confidence. The complexity is increased by technical constraints, the requirement for human monitoring to guarantee quality, and ethical considerations. It is imperative that Audio/Visual Generative AI overcome these obstacles by reducing bias, improving data efficiency, and creating standardised frameworks to realise its full potential.
Global Audio/Visual Generative AI Market Opportunities:
The potential for Audio/Visual Generative AI is abundant in the future. With the ability to generate personalised experiences for viewers and streamline workflows for content creation in areas like marketing and cinema, this technology has the potential to completely transform the way we produce and consume information. Additionally, it can help with accessibility, since technologies like improved text-to-speech and AI-powered picture captions may make a difference for those with impairments. However, nurturing completely new kinds of creative expression offers the most thrilling potential. Imagine working with AI to produce images that push the frontiers of art or compose music in a distinctive way. AI tutors may create personalised study programmes that are tailored to each student's needs, opening a world of possibilities for personalised learning and education.
AUDIO/VISUAL GENERATIVE AI MARKET REPORT COVERAGE:
REPORT METRIC |
DETAILS |
Market Size Available |
2023 - 2030 |
Base Year |
2023 |
Forecast Period |
2024 - 2030 |
CAGR |
37.65% |
Segments Covered |
By Application, End-User, Technology, Deployment, and Region |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regional Scope |
North America, Europe, APAC, Latin America, Middle East & Africa |
Key Companies Profiled |
NVIDIA Corporation, Alphabet Inc., Synthesia, Descript, Adobe, Pictory.ai, SAP Meta, Runway AI, Inc., Aiva Technologies |
Content Creation
Audio and music generation
Video generation and editing
Virtual and augmented reality content
Advertising and Marketing
Personalized advertisements
Video and audio advertisements
Gaming
In-game content generation
Game environment and character design
Film and Entertainment
Special effects
Script and dialogue generation
Customer Service
AI-generated voices for virtual assistants
Chatbots with natural language processing capabilities
Education and Training
Interactive learning modules
Virtual tutors and training simulations
Others
Given its vast use and ongoing improvement, it is challenging to identify a single dominating application for generative AI; nonetheless, a few domains are seeing rapid growth. The creation of content, which includes anything from editing software to music production, is a key factor as it improves productivity and customises user experiences. The potential of generative AI to produce relevant adverts and interesting content is also being embraced by marketing and advertising. Beyond these well-known uses, there is a tonne of untapped potential in new fields like chatbots driven by AI for customer support and interactive teaching resources. This market sector promises a future full of creative applications in a variety of industries and thrives on ongoing study.
Individual Content Creators
Media and Entertainment Companies
Advertising Agencies
Gaming Industry
Corporate Sector
Education Sector
Others
Media and entertainment corporations and individual content creators are in a close competition for the fastest-growing category in the global audio/visual generative AI market. Generative AI excels in three areas: efficiency improvements, personalisation tools, and novel approaches to content production, all of which the entertainment industry is eager to adopt. Media production and delivery are being revolutionised by this technology, which can be used for anything from creating soundtracks to customising trailers. Simultaneously, generative AI is becoming more accessible and cost-effective, enabling indie filmmakers and YouTubers to develop high-quality video without going over budget. The market is expanding significantly because to the democratisation of content generation, which puts it in the running for the top slot with more established media behemoths.
Natural Language Processing (NLP)
Text-to-speech
Speech recognition and generation
Computer Vision
Image and video recognition
Video editing and enhancement
Deep Learning and Machine Learning
Generative adversarial networks (GANs)
Recurrent neural networks (RNNs) for audio generation
Because of their interconnectedness and quick progress, it is difficult to identify a single leading technology in the global audio/visual generative artificial intelligence market; nonetheless, several sectors are witnessing notable growth. These models are trained using deep learning and machine learning, whereas Generative Adversarial Networks (GANs) are very skilled in producing realistic audiovisual material. Subsectors like text-to-speech and AI-powered video editing should also see significant developments. The interaction of different technologies, where advancement in one area spurs innovation in other areas, holds the key to this market's future.
Cloud-based
On-premises
In the global audio/visual generative AI market, cloud-based solutions are leading the way, outpacing on-premises deployments as the largest and fastest-growing sector. This change is a result of cloud platforms' scalability and affordability, which let users access the newest AI developments and modify resources without having to spend a lot of money on new gear. The future of generative AI is being shaped by the flexibility and accessibility of cloud-based solutions, even though on-premises deployment may be pertinent for certain data security requirements.
North America
Asia-Pacific
Europe
South America
Middle East and Africa
North America leads the global market for audio/visual generative artificial intelligence (AI), using its strong AI foundation and concentration of large tech companies. Nonetheless, the Asia-Pacific area is anticipated to grow at the fastest rate because of its quickly expanding tech industry, rising internet penetration, and strong need for cutting-edge content production tools. Although they now represent smaller markets, Europe, South America, and the Middle East and Africa show potential for future growth as the use of generative AI continues to rise worldwide.
COVID-19 Impact Analysis on the Global Audio/Visual Generative AI Market:
The COVID-19 pandemic had a twofold effect on the audio/visual generative artificial intelligence market. On the one hand, lockdowns increased demand for remote content creation tools; generative AI for music, video editing, and image generation grew as creators looked for ways to work independently. The rise in screen time during lockdowns highlighted the need for engaging and personalised content, which increased the value of generative AI's user-tailored audio/visual experiences. Another factor was the growth of e-commerce, where generative AI was employed for dynamic ad creation and personalised product recommendations. On the other hand, the pandemic brought with it some difficulties.
Recent Trends and Developments in the Global Audio/Visual Generative AI Market:
There are plenty of innovative advancements in the audio/visual generative AI market. Written-to-video creation, in which AI models can produce videos from straightforward written descriptions, is one popular trend. Imagine using a limited word count to script a movie or create an instructional video. With AI producing audio explanations for pictures and videos and text-to-speech providing additional voice options, accessibility is also receiving greater attention. Major software firms are already incorporating generative AI into their already-existing creative tools, enabling designers and artists to utilise AI inside a recognisable workflow. Explainability is becoming more and more important as models become more complicated so that users can comprehend AI's operations and exercise greater creative control. The future lies in the combination of humans with AI, where AI helps with monotonous work and idea generation, freeing up human ingenuity for strategic decision making.
Key Players:
NVIDIA Corporation
Alphabet Inc.
Synthesia
Descript
Adobe
Pictory.ai
SAP
Meta
Runway AI, Inc.
Aiva Technologies
Chapter 1. Audio/Visual Generative AI Market – Scope & Methodology
1.1 Market Segmentation
1.2 Scope, Assumptions & Limitations
1.3 Research Methodology
1.4 Primary Sources
1.5 Secondary Sources
Chapter 2. Audio/Visual Generative AI Market – Executive Summary
2.1 Market Size & Forecast – (2024 – 2030) ($M/$Bn)
2.2 Key Trends & Insights
2.2.1 Demand Side
2.2.2 Supply Side
2.3 Attractive Investment Propositions
2.4 COVID-19 Impact Analysis
Chapter 3. Audio/Visual Generative AI Market – Competition Scenario
3.1 Market Share Analysis & Company Benchmarking
3.2 Competitive Strategy & Development Scenario
3.3 Competitive Pricing Analysis
3.4 Supplier-Distributor Analysis
Chapter 4. Audio/Visual Generative AI Market Entry Scenario
4.1 Regulatory Scenario
4.2 Case Studies – Key Start-ups
4.3 Customer Analysis
4.4 PESTLE Analysis
4.5 Porters Five Force Model
4.5.1 Bargaining Power of Suppliers
4.5.2 Bargaining Powers of Customers
4.5.3 Threat of New Entrants
4.5.4 Rivalry among Existing Players
4.5.5 Threat of Substitutes
Chapter 5. Audio/Visual Generative AI Market – Landscape
5.1 Value Chain Analysis – Key Stakeholders Impact Analysis
5.2 Market Drivers
5.3 Market Restraints/Challenges
5.4 Market Opportunities
Chapter 6. Audio/Visual Generative AI Market – By Application
6.1 Introduction/Key Findings
6.2 Content Creation
6.3 Audio and music generation
6.4 Video generation and editing
6.5 Virtual and augmented reality content
6.6 Advertising and Marketing
6.7 Personalized advertisements
6.8 Video and audio advertisements
6.9 Gaming
6.10 In-game content generation
6.11 Game environment and character design
6.12 Film and Entertainment
6.13 Special effects
6.14 Script and dialogue generation
6.15 Customer Service
6.16 AI-generated voices for virtual assistants
6.17 Chatbots with natural language processing capabilities
6.18 Education and Training
6.19 Interactive learning modules
6.20 Virtual tutors and training simulations
6.21 Others
6.22 Y-O-Y Growth trend Analysis By Application
6.23 Absolute $ Opportunity Analysis By Application, 2024-2030
Chapter 7. Audio/Visual Generative AI Market – By End-User
7.1 Introduction/Key Findings
7.2 Individual Content Creators
7.3 Media and Entertainment Companies
7.4 Advertising Agencies
7.5 Gaming Industry
7.6 Corporate Sector
7.7 Education Sector
7.8 Others
7.9 Y-O-Y Growth trend Analysis By End-User
7.10 Absolute $ Opportunity Analysis By End-User, 2024-2030
Chapter 8. Audio/Visual Generative AI Market – By Technology
8.1 Introduction/Key Findings
8.2 Natural Language Processing (NLP)
8.3 Text-to-speech
8.4 Speech recognition and generation
8.5 Computer Vision
8.6 Image and video recognition
8.7 Video editing and enhancement
8.8 Deep Learning and Machine Learning
8.9 Generative adversarial networks (GANs)
8.10 Recurrent neural networks (RNNs) for audio generation
8.11 Y-O-Y Growth trend Analysis By Technology
8.12 Absolute $ Opportunity Analysis By Technology, 2024-2030
Chapter 9. Audio/Visual Generative AI Market – By Deployment
9.1 Introduction/Key Findings
9.2 Cloud-based
9.3 On-premises
9.4 Y-O-Y Growth trend Analysis By Deployment
9.5 Absolute $ Opportunity Analysis By Deployment, 2024-2030
Chapter 10. Audio/Visual Generative AI Market, By Geography – Market Size, Forecast, Trends & Insights
10.1 North America
10.1.1 By Country
10.1.1.1 U.S.A.
10.1.1.2 Canada
10.1.1.3 Mexico
10.1.2 By Application
10.1.2.1 By End-UserApplication
10.1.3 By Technology
10.1.4 Countries & Segments - Market Attractiveness Analysis
10.2 Europe
10.2.1 By Country
10.2.1.1 U.K
10.2.1.2 Germany
10.2.1.3 France
10.2.1.4 Italy
10.2.1.5 Spain
10.2.1.6 Rest of Europe
10.2.2 By Application
10.2.3 By End-UserApplication
10.2.4 By Technology
10.2.5 By Deployment
10.2.6 Countries & Segments - Market Attractiveness Analysis
10.3 Asia Pacific
10.3.1 By Country
10.3.1.1 China
10.3.1.2 Japan
10.3.1.3 South Korea
10.3.1.4 India
10.3.1.5 Australia & New Zealand
10.3.1.6 Rest of Asia-Pacific
10.3.2 By Application
10.3.3 By End-UserApplication
10.3.4 By Technology
10.3.5 By Deployment
10.3.6 Countries & Segments - Market Attractiveness Analysis
10.4 South America
10.4.1 By Country
10.4.1.1 Brazil
10.4.1.2 Argentina
10.4.1.3 Colombia
10.4.1.4 Chile
10.4.1.5 Rest of South America
10.4.2 By Application
10.4.3 By End-UserApplication
10.4.4 By Technology
10.4.5 By Deployment
10.4.6 Countries & Segments - Market Attractiveness Analysis
10.5 Middle East & Africa
10.5.1 By Country
10.5.1.1 United Arab Emirates (UAE)
10.5.1.2 Saudi Arabia
10.5.1.3 Qatar
10.5.1.4 Israel
10.5.1.5 South Africa
10.5.1.6 Nigeria
10.5.1.7 Kenya
10.5.1.8 Egypt
10.5.1.9 Rest of MEA
10.5.2 By Application
10.5.3 By End-UserApplication
10.5.4 By Technology
10.5.5 By Deployment
10.5.6 Countries & Segments - Market Attractiveness Analysis
Chapter 11. Audio/Visual Generative AI Market – Company Profiles – (Overview, Product Portfolio, Financials, Strategies & Developments)
11.1 NVIDIA Corporation
11.2 Alphabet Inc.
11.3 Synthesia
11.4 Descript
11.5 Adobe
11.6 Pictory.ai
11.7 SAP
11.8 Meta
11.9 Runway AI, Inc.
11.10 Aiva Technologies
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Frequently Asked Questions
The Global Audio/Visual Generative AI Market size is valued at USD 14.16 billion in 2023.
The worldwide Global Audio/Visual Generative AI Market growth is estimated to be 37.65% from 2024 to 2030.
Global Audio/Visual Generative AI Market segmentation covered in the report are By Application (Content Creation, Advertising and Marketing, Gaming, Film and Entertainment, Customer Service, Education and Training, Others); By End-User(Individual Content Creators, Media and Entertainment Companies, Advertising Agencies, Gaming Industry, Corporate Sector, Education Sector, Others); By Technology (Natural Language Processing (NLP), Computer Vision, Deep Learning and Machine Learning); By Deployment(Cloud-based, On-premises) and by region.
Audio/Visual Generative AI has a promising future. Anticipate developments in areas like generative content creation in real-time, enhanced integration with creative tools, and even AI-powered tools for producing screenplays for movies or composing music. The opportunities for individualised and immersive audio/visual experiences are endless when AI and human creativity work together.
Different things happened to the global audio/visual generative AI market because of the COVID-19 epidemic. The need for remote content creation technologies such as generative AI for picture generation, video editing, and music production increased during lockdowns. Budgetary restrictions and supply chain delays, however, also presented difficulties.
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