Generative Artificial Intelligence Market
Generative Artificial Intelligence Market Forecasts to 2030 - Global Analysis By Component (Solutions and Services), Deployment Model (Cloud-based and On-premise), Technology, Application, End User and By Geography
According to Stratistics MRC, the Global Generative Artificial Intelligence Market is accounted for $22.62 billion in 2024 and is expected to reach $140.83 billion by 2030 growing at a CAGR of 38.7% during the forecast period. Generative artificial intelligence refers to a subset of AI technologies designed to create new content, such as images, text, audio, or even video, based on patterns learned from existing data. Its capabilities are revolutionizing industries by enhancing creativity, improving efficiencies, and reducing the need for manual labor in tasks such as writing, art creation, and product design.
According to IBM's Global AI Adoption Index 2022 report, about 53% of IT professionals stated that they had accelerated their adoption of artificial intelligence (AI) over the past two years as part of their response to the pandemic.
Market Dynamics:
Driver:
Growing adoption of AI in creative industries
AI tools are enhancing creativity by enabling automated content generation, such as realistic images, scripts, music compositions, and advertising campaigns. This reduces production time, lowers costs, and opens new creative possibilities. As industries seek innovative solutions for personalized content and efficiency, demand for generative AI technologies like text and image generators, as well as AI-driven design tools, continues to rise, fueling market growth and transforming creative workflows.
Restraint:
Data dependency and quality issues
Generative AI relies heavily on large, high-quality datasets to train models effectively. Data dependency and quality issues arise when these datasets are incomplete, biased, or noisy, leading to inaccurate or unreliable outputs. Poor data quality hampers model performance, making generative AI applications less effective or even harmful, particularly in sensitive fields like healthcare or finance. These challenges increase the time and cost of developing robust AI systems, limiting their scalability and adoption, thereby slowing market growth.
Opportunity:
Growth in AI-powered healthcare solutions
Advanced AI technologies can create innovative solutions in medical research, drug development, diagnostics, and personalized medicine. Generative AI helps in designing new drugs, generating synthetic medical data for training models, and even creating tailored treatment plans for patients. As healthcare organizations increasingly adopt AI for efficiency and innovation, the need for generative AI technologies to process vast amounts of data and create novel, actionable insights accelerates market expansion. This adoption fosters advancements in AI-driven medical devices and healthcare services.
Threat:
High computational costs
Generative AI requires high computational resources due to the complex models and massive datasets involved in generating content. Training models like GPT or GANs demands powerful hardware, extensive processing time, and large-scale cloud infrastructure, leading to significant costs. Additionally, businesses with limited budgets may face difficulties in scaling AI applications, hampering market growth by restricting widespread implementation across industries and sectors.
Covid-19 Impact
The covid-19 pandemic accelerated the adoption of Generative AI as businesses sought digital transformation solutions to adapt to remote operations. Industries like healthcare leveraged AI for drug discovery and medical imaging. However, economic uncertainty caused delays in R&D investments and adoption in certain sectors. The pandemic highlighted the importance of AI in resilience, sparking long-term interest despite short-term challenges in funding and implementation.
The design & creative content segment is expected to be the largest during the forecast period
The design & creative content segment is predicted to secure the largest market share throughout the forecast period. Generative AI is transforming design and creative content by automating and enhancing the creative process. In graphic design, AI tools generate logos, artwork, and layouts, saving time and offering new creative possibilities. AI's ability to understand and replicate artistic styles empowers designers and creators, while also enabling mass customization, ultimately driving innovation and efficiency in creative workflows.
The entertainment & media segment is expected to have the highest CAGR during the forecast period
The entertainment & media segment is anticipated to witness the highest CAGR during the forecast period. Generative AI is revolutionizing the entertainment and media sectors by automating content creation and enhancing user experiences. AI generates scripts, music, visual effects, and even entire movies or game environments, offering faster production cycles and innovative storytelling. This technology improves creativity, efficiency, and audience engagement, transforming how media is produced and consumed globally.
Region with largest share:
Asia Pacific is expected to register the largest market share during the forecast period driven by rapid digitalization and a tech-savvy population. Countries like China, Japan, and South Korea lead with strong AI adoption in industries such as media, healthcare, and e-commerce. Government initiatives, substantial R&D investments, and thriving startup ecosystems fuel growth. The region's focus on innovation ensures sustained expansion opportunities.
Region with highest CAGR:
North America is projected to witness the highest CAGR over the forecast period driven by advanced technology infrastructure, high R&D investments, and widespread adoption across industries. The U.S. leads with strong contributions from tech giants, startups, and research institutions, applying Generative AI in healthcare, media, automotive, and e-commerce. The region benefits from robust government support and initiatives to advance AI capabilities. Increasing demand for personalized experiences and automation further drives adoption.
Key players in the market
Some of the key players profiled in the Generative Artificial Intelligence Market include OpenAI, Google DeepMind, Anthropic, Hugging Face, Stability AI, Microsoft, IBM, NVIDIA, Adobe, Meta, Baidu, Amazon Web Services (AWS), Cohere, Aleph Alpha, Jasper AI, Synthesia, Replika, Runway, Character.AI and VEON Group.
Key Developments:
In December 2024, Amazon launches generative AI-powered self-service with Amazon Q in Connect. Amazon Q in Connect can directly converse with end-customers and reason over undefined intents for more ambiguous scenarios to provide customers accurate responses.
In December 2024, VEON has launched a Generative AI lab by Kyivstar in partnership with Amazon Web Services (AWS). This initiative aims to help Ukrainian enterprises adopt AI technologies to enhance business processes and contribute to Ukraine's long-term economic recovery.
Components Covered:
• Solutions
• Services
Deployment Models Covered:
• Cloud-based
• On-premise
Technologies Covered:
• Natural Language Processing (NLP)
• Machine Learning (ML)
• Deep Learning (DL)
• Computer Vision
• Reinforcement Learning (RL)
• Other Technologies
Applications Covered:
• Text Generation
• Image & Video Generation
• Speech & Audio Generation
• Code Generation
• Design & Creative Content
• Synthetic Data Generation
• Deepfake Generation
• Other Applications
End Users Covered:
• Healthcare
• Entertainment & Media
• Finance
• Retail & E-Commerce
• Manufacturing
• Automotive
• Education
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Generative Artificial Intelligence Market, By Component
5.1 Introduction
5.2 Solutions
5.2.1 Generative Adversarial Networks (GANs)
5.2.2 Variational Autoencoders (VAEs)
5.2.3 Transformer Models
5.3 Services
5.3.1 Consulting Services
5.3.2 Managed Services
5.3.3 Implementation Services
6 Global Generative Artificial Intelligence Market, By Deployment Model
6.1 Introduction
6.2 Cloud-based
6.3 On-premise
7 Global Generative Artificial Intelligence Market, By Technology
7.1 Introduction
7.2 Natural Language Processing (NLP)
7.3 Machine Learning (ML)
7.4 Deep Learning (DL)
7.5 Computer Vision
7.6 Reinforcement Learning (RL)
7.7 Other Technologies
8 Global Generative Artificial Intelligence Market, By Application
8.1 Introduction
8.2 Text Generation
8.3 Image & Video Generation
8.4 Speech & Audio Generation
8.5 Code Generation
8.6 Design & Creative Content
8.7 Synthetic Data Generation
8.8 Deepfake Generation
8.9 Other Applications
9 Global Generative Artificial Intelligence Market, By End User
9.1 Introduction
9.2 Healthcare
9.3 Entertainment & Media
9.4 Finance
9.5 Retail & E-Commerce
9.6 Manufacturing
9.7 Automotive
9.8 Education
9.9 Other End Users
10 Global Generative Artificial Intelligence Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 OpenAI
12.2 Google DeepMind
12.3 Anthropic
12.4 Hugging Face
12.5 Stability AI
12.6 Microsoft
12.7 IBM
12.8 NVIDIA
12.9 Adobe
12.10 Meta
12.11 Baidu
12.12 Amazon Web Services (AWS)
12.13 Cohere
12.14 Aleph Alpha
12.15 Jasper AI
12.16 Synthesia
12.17 Replika
12.18 Runway
12.19 Character.AI
12.20 VEON Group
List of Tables
1 Global Generative Artificial Intelligence Market Outlook, By Region (2022-2030) ($MN)
2 Global Generative Artificial Intelligence Market Outlook, By Component (2022-2030) ($MN)
3 Global Generative Artificial Intelligence Market Outlook, By Solutions (2022-2030) ($MN)
4 Global Generative Artificial Intelligence Market Outlook, By Generative Adversarial Networks (GANs) (2022-2030) ($MN)
5 Global Generative Artificial Intelligence Market Outlook, By Variational Autoencoders (VAEs) (2022-2030) ($MN)
6 Global Generative Artificial Intelligence Market Outlook, By Transformer Models (2022-2030) ($MN)
7 Global Generative Artificial Intelligence Market Outlook, By Services (2022-2030) ($MN)
8 Global Generative Artificial Intelligence Market Outlook, By Consulting Services (2022-2030) ($MN)
9 Global Generative Artificial Intelligence Market Outlook, By Managed Services (2022-2030) ($MN)
10 Global Generative Artificial Intelligence Market Outlook, By Implementation Services (2022-2030) ($MN)
11 Global Generative Artificial Intelligence Market Outlook, By Deployment Model (2022-2030) ($MN)
12 Global Generative Artificial Intelligence Market Outlook, By Cloud-based (2022-2030) ($MN)
13 Global Generative Artificial Intelligence Market Outlook, By On-premise (2022-2030) ($MN)
14 Global Generative Artificial Intelligence Market Outlook, By Technology (2022-2030) ($MN)
15 Global Generative Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
16 Global Generative Artificial Intelligence Market Outlook, By Machine Learning (ML) (2022-2030) ($MN)
17 Global Generative Artificial Intelligence Market Outlook, By Deep Learning (DL) (2022-2030) ($MN)
18 Global Generative Artificial Intelligence Market Outlook, By Computer Vision (2022-2030) ($MN)
19 Global Generative Artificial Intelligence Market Outlook, By Reinforcement Learning (RL) (2022-2030) ($MN)
20 Global Generative Artificial Intelligence Market Outlook, By Other Technologies (2022-2030) ($MN)
21 Global Generative Artificial Intelligence Market Outlook, By Application (2022-2030) ($MN)
22 Global Generative Artificial Intelligence Market Outlook, By Text Generation (2022-2030) ($MN)
23 Global Generative Artificial Intelligence Market Outlook, By Image & Video Generation (2022-2030) ($MN)
24 Global Generative Artificial Intelligence Market Outlook, By Speech & Audio Generation (2022-2030) ($MN)
25 Global Generative Artificial Intelligence Market Outlook, By Code Generation (2022-2030) ($MN)
26 Global Generative Artificial Intelligence Market Outlook, By Design & Creative Content (2022-2030) ($MN)
27 Global Generative Artificial Intelligence Market Outlook, By Synthetic Data Generation (2022-2030) ($MN)
28 Global Generative Artificial Intelligence Market Outlook, By Deepfake Generation (2022-2030) ($MN)
29 Global Generative Artificial Intelligence Market Outlook, By Other Applications (2022-2030) ($MN)
30 Global Generative Artificial Intelligence Market Outlook, By End User (2022-2030) ($MN)
31 Global Generative Artificial Intelligence Market Outlook, By Healthcare (2022-2030) ($MN)
32 Global Generative Artificial Intelligence Market Outlook, By Entertainment & Media (2022-2030) ($MN)
33 Global Generative Artificial Intelligence Market Outlook, By Finance (2022-2030) ($MN)
34 Global Generative Artificial Intelligence Market Outlook, By Retail & E-Commerce (2022-2030) ($MN)
35 Global Generative Artificial Intelligence Market Outlook, By Manufacturing (2022-2030) ($MN)
36 Global Generative Artificial Intelligence Market Outlook, By Automotive (2022-2030) ($MN)
37 Global Generative Artificial Intelligence Market Outlook, By Education (2022-2030) ($MN)
38 Global Generative Artificial Intelligence Market Outlook, By Other End Users (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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