Generative AI Market: The Next Productivity Frontier for Enterprises

Global Generative AI Market size was valued at USD 10.5 Bn in 2022 and is expected to reach USD 88.06 Bn by 2029, at a CAGR of 35.5% over the forecast period.

Generative AI Market Overview

Generative AI is a set of algorithms, which is capable of generating new and realistic content such as text, images, or audios. It allows generating variety of new content based on input. Creative AI use neural models network to identify patterns and structures with existing data to generate new and original content. For example, GPT-3 and Stable Diffusion allow users to leverage the power of language. Key requirements for a successful generative AI model are quality, Diversity, and Speed. Generalization and robustness of AI models is expected to boost the Generative AI market growth.

Generative AI Market Snapshot

Generative AI MarketTo know about the Research Methodology :- Request Free Sample Report

Generative AI Market Dynamics

Increasing Computational Power to boost the Generative AI Market growth The availability of powerful hardware, including GPUs and specialized accelerators, has significantly improved the training and inference speed of generative AI models. New techniques and architectures are enabling the creation of more sophisticated and realistic content, attracting interest from businesses and industries, which is expected to boost the Generative AI Market growth. Generative AI has shown promise in a wide range of applications, including image and video synthesis, natural language processing, creative content generation, data augmentation, and more. Its versatility and potential to improve existing processes across various industries are driving investments and adoption. In machine learning and AI, having diverse and ample training data is crucial for model performance. Generative AI is used for data augmentation, generating additional training samples from existing data, which improves the generalization and robustness of AI models, and is expected to boost the Generative AI industry. In robotics and autonomous systems, generative AI plays a crucial role in simulation, reinforcement learning, and decision-making. By generating realistic virtual environments and training data, generative AI accelerates the development and deployment of autonomous technologies.

Market shares using generative AI in compainies in 2022

Generative AI Market Applications of Generative AI in the future: Creative Industries: Generative AI has the potential to revolutionize the creative landscape. Artists, musicians, and designers can leverage generative AI algorithms to create unique and innovative content. Generative AI enables artists to explore uncharted territories, blend human creativity with algorithmic capabilities, and push the boundaries of traditional art forms. Healthcare and Medicine: Generative AI could aid in drug discovery, by generating molecular structures and predicting their potential interactions with targets. It could also be used in medical imaging to enhance and reconstruct images, assisting in more accurate diagnoses. Natural Language Processing (NLP): Language models powered by generative AI could become even more sophisticated, enabling more natural and contextually relevant conversations with AI systems. These models could assist in language translation, content summarization, and language-based tasks in various industries. Robotics and Autonomous Systems: Generative AI could enhance the capabilities of robots and autonomous systems by enabling them to better understand and interact with their environment. It could also be used for robot motion planning and coordination in complex scenarios. Environmental Conservation: Generative AI could be used in environmental research and conservation efforts, such as generating realistic simulations to study the impact of climate change or predicting animal migration patterns.

Requirements for successive generative AI models

Generative AI Market Data Privacy and Ethics Concerns to Restraint the Generative AI Market Growth Generative AI models have the potential to generate highly realistic fake content, such as deepfakes, which is used for malicious purposes like spreading misinformation or fabricating false evidence. These ethical concerns raise questions about the responsible use and regulation of generative AI technology. The quality of training data significantly influences the performance of generative AI models. Biased or incomplete datasets lead to biased outputs, reinforcing existing stereotypes or generating unrealistic content. Ensuring diverse and representative data is a challenge that needs to be addressed to mitigate potential biases, which is expected to restrain the Generative AI Market growth. Training complex generative AI models, especially large-scale ones, demands significant computational resources, including GPUs and high-performance computing infrastructure. The costs associated with such resources and is restraint for organizations with limited budgets. The field of generative AI is rapidly evolving, leading to a lack of standardized best practices and evaluation metrics. This lack of standardization make it difficult for businesses to compare and select appropriate generative AI solutions. In certain industries, such as autonomous vehicles or medical applications, generative AI systems must meet stringent safety and regulatory standards. Ensuring the safety and reliability of generative AI outputs becomes crucial in these cases. Many generative AI models are considered black boxes, meaning their internal workings are not easily interpretable or explainable. This lack of transparency is a concern, especially in critical applications where understanding the model's decision-making process is essential. Some industries or organizations are cautious about adopting generative AI due to concerns about potential job displacement, workforce skill gaps, or resistance to embracing AI-driven automation. Opportunities in Generative AI Market Creative Content Generation: Generative AI can revolutionize content creation in industries such as gaming, entertainment, design, and advertising. Businesses can use generative AI to create unique and personalized content, leading to engaging and immersive experiences for users. Personalized Marketing and Recommendations: Generative AI can analyze user behavior and preferences to generate personalized product recommendations, marketing messages, and content. This level of personalization can enhance customer engagement and increase conversion rates. Virtual Try-On and Simulation: Generative AI enable virtual try-on for fashion and cosmetics, allowing customers to visualize how products will look on them before making a purchase. Additionally, generative AI can be used in simulations for training and testing, especially in high-risk or costly scenarios, which in future is expected to boost the Generative AI Market growth. Data Augmentation and Anomaly Detection: Generative AI can be used to augment training datasets for machine learning models, improving their performance and generalization. Additionally, generative AI can detect anomalies or outliers in data, aiding in fraud detection and predictive maintenance. Digital Twin Technology: Generative AI create virtual representations of physical assets or systems, known as digital twins, which can be used for predictive maintenance, optimization, and real-time monitoring. Challenges of Generative AI: Scale of compute infrastructure: Generative AI models boast billions of parameters and require fast and efficient data pipelines to train. Significant capital investment, technical expertise, and large-scale compute infrastructure are necessary to maintain and develop generative models. For example, diffusion models could require millions or billions of images to train. Moreover, to train such large datasets, massive compute power is needed, and AI practitioners must be able to procure and leverage hundreds of GPUs to train their models.

Generative AI Market Regional Insight

Adoption of Generative AI by various industries to boost North America Generative AI Market growth Various industries across North America have embraced generative AI for diverse applications, including entertainment, gaming, healthcare, design, finance, and autonomous systems. The technology's versatility and potential to enhance various sectors have driven its adoption. North America has attracted significant investments and funding in AI-related ventures and startups, including those focused on generative AI. The availability of capital has supported research, product development, and market expansion. Leading technology companies such as Google, Microsoft, Facebook, and others have heavily invested in AI research and development, which is expected to boost the Generative AI Market growth. Their involvement in generative AI has not only advanced the technology but also increased its visibility and accessibility. Governments in North America, particularly in the United States, have shown support for AI research and innovation through funding, policies, and initiatives. This support has facilitated the growth of the generative AI industry. The increasing demand for personalized and immersive experiences in various industries has driven the adoption of generative AI to create tailored content and recommendations.

US Generative AI Market growth by 2029

Generative AI Market Asia Pacific region is expected to dominate the market over the forecast period. The Asia Pacific region has witnessed the rise of numerous AI-focused startups and companies, including those specializing in generative AI. These startups are driving innovation and competition in the market. The technology's applications span from content generation and personalization to simulation and prediction. The region's rapidly growing economies and increasing digitization have led to rising demand for AI-enabled solutions across industries. Generative AI's potential to enhance user experiences and create personalized content has contributed to its popularity.

Generative AI Market Segment Analysis

Based on technology, the market is segmented into Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Transformers, Deep Boltzmann Machines (DBMs), Recurrent Neural Networks (RNNs) and LSTM, and Others. Generative Adversarial Networks (GANs) segment dominated the market in 2022 and is expected to hold the largest Generative AI Market share over the forecast period. The research community has dedicated significant efforts to improving GANs and addressing their limitations. New architectures, loss functions, and training techniques have continually enhanced GAN performance and stability, making them more attractive for real-world applications. GANs have been embraced by various industries and companies for their ability to generate realistic content and create personalized experiences for users, which is expected to boost segment growth in the market. The demand for GAN-based solutions in entertainment, e-commerce, marketing, and design has driven their dominance in the market. Pretrained GAN models are readily available, making it easier for businesses to integrate GAN technology into their products and services without the need for extensive model training from scratch. The GAN research community is vibrant and active, driving continuous innovation and improvements in GAN-based techniques. This active community fosters knowledge sharing and collaboration, further contributing to GANs' dominance. Based on Application, the market is segmented into Image and Video Generation, Text and Language Generation, Music and Audio Generation, Data Augmentation, Creative Content Generation, Virtual Reality (VR) and Augmented Reality (AR), Drug Discovery and Molecular Design, Autonomous Systems and Robotics, and Others. Image and Video Generation segment is expected to dominate the Generative AI Market over the forecast period. Image and video generation applications offer visually appealing and realistic content. This makes them highly desirable for industries such as entertainment, gaming, marketing, and creative content creation. Image and video generation is applied in numerous use cases, including virtual content creation, product visualization, virtual try-on, and simulation. The wide range of applications makes them versatile and attractive for various industries. The media and entertainment industry, including gaming, animation, and special effects, has been an early adopter of generative AI for image and video generation. The demand for realistic and immersive visual experiences has driven their widespread adoption. Image and video generation allow designers and artists to explore new styles, concepts, and visual ideas. It serves as a powerful tool for creative content generation and inspiration and is expected to boost the Image and Video Generation segment growth in the market.

Generative AI Market, by Application

Based on end-user, the market is segmented in Entertainment and Gaming, Healthcare and Life Science, Design and Creative Industries, Finance and Investment, Automotive and Transportation, E-commerce and Retail, Education and Research, Manufacturing and Robotics, and Others. Entertainment and Gaming segment held the largest Generative AI Market share in 2022 and is expected to dominate the market over the forecast period. The entertainment and gaming industry places a premium on providing immersive and visually stunning experiences to users. Generative AI enables the creation of realistic and visually appealing content, enhancing user engagement and satisfaction. Generative AI is employed to create special effects and animations in the film and entertainment industries, reducing the time and resources required for manual content creation. The entertainment and gaming industry is known for its continuous innovation and adoption of cutting-edge technologies. Generative AI aligns well with this trend, leading to early adoption and prominence in the market. Generative AI is used to dynamically generate content in response to player actions, enabling more interactive and adaptive storytelling in video games, which is expected to boost segment growth in the Generative AI industry growth. Generative AI Market Competitive Landscape Companies that leverage generative AI successfully gain a competitive edge by offering innovative products, personalized experiences, and more efficient processes, leading other businesses to explore and invest in generative AI technologies. The Generative AI company profiles and competitive analysis of the major players are provided in the Generative AI Market report. The regions covered in the report are North America, Europe, Asia-Pacific, and LAMEA. The strategies adopted by the major player, such as product portfolio expansion, mergers & acquisitions, agreements, geographical expansion, and collaborations, to enhance the Generative AI market penetration. The Generative AI services providers are focused to develop the components and devices with more technological advancement and innovation. The market is highly competitive with several established Generative AI key players.

Generative AI Market Report Scope: Inquire Before Buying

Global Generative AI Market
Report Coverage Details
Base Year: 2022 Forecast Period: 2023-2029
Historical Data: 2018 to 2022 Market Size in 2022: US $ 10.5 Bn.
Forecast Period 2023 to 2029 CAGR: 35.5% Market Size in 2029: US $ 88.06 Bn.
Segments Covered: by Technology Generative Adversarial Networks (GANs) Variational Autoencoders (VAEs) Transformers Deep Boltzmann Machines (DBMs) Recurrent Neural Networks (RNNs) and LSTM Others
by Application Image and Video Generation Text and Language Generation Music and Audio Generation Data Augmentation Creative Content Generation Virtual Reality (VR) and Augmented Reality (AR) Drug Discovery and Molecular Design Autonomous Systems and Robotics Others
by Deployment Mode On-Premises Cloud-based
by End-User Entertainment and Gaming Healthcare and Life Sciences Design and Creative Industries Finance and Investment Automotive and Transportation E-commerce and Retail Education and Research Manufacturing and Robotics Others

Generative AI Market by Region

North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and the Rest of Europe) Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and the Rest of APAC) South America (Brazil, Argentina Rest of South America) Middle East & Africa (South Africa, GCC, Egypt, Nigeria and the Rest of ME&A)

Generative AI Key Players

1. Sequoia Capital 2. OpenAI 3. NVIDIA 4. Alphasense Inc. 5. Synthesia 6. Rephrase.ai 7. MOSTLY AI Inc 8. Google 9. Microsoft 10. IBM 11. Facebook AI Research (FAIR) 12. Adobe 13. Apple 14. Salesforce 15. Intel 16. Amazon Web Services (AWS) 17. Siemens

Frequently Asked Questions:

1] What is the growth rate of the Global Generative AI Market? Ans. The Global Generative AI Market is growing at a significant rate of 35.5% over the forecast period. 2] Which region is expected to dominate the Global Generative AI Market? Ans. North America region is expected to dominate the Generative AI Market over the forecast period. 3] What is the expected Global Generative AI Market size by 2029? Ans. The market size of the Generative AI Market is expected to reach USD 88.06 Bn by 2029. 4] Who are the top players in the Global Generative AI Industry? Ans. The major key players in the Global Generative AI Market are OpenAI, NVIDIA, Alphasense Inc., and Synthesia. 5] Which factors are expected to drive the Global Generative AI Market growth by 2029? Ans. Increasing Computational Power is expected to drive the Generative AI Market growth over the forecast period (2023-2029).
1. Generative AI Market: Research Methodology 2. Generative AI Market Introduction 2.1. Study Assumption and Market Definition 2.2. Scope of the Study 2.3. Executive Summary 3. Generative AI Market: Dynamics 3.1. Generative AI Market Trends by Region 3.1.1. Global Generative AI Market Trends 3.1.2. North America Generative AI Market Trends 3.1.3. Europe Generative AI Market Trends 3.1.4. Asia Pacific Generative AI Market Trends 3.1.5. Middle East and Africa Generative AI Market Trends 3.1.6. South America Generative AI Market Trends 3.2. Generative AI Market Dynamics by Region 3.2.1. North America 3.2.1.1. North America Generative AI Market Drivers 3.2.1.2. North America Generative AI Market Restraints 3.2.1.3. North America Generative AI Market Opportunities 3.2.1.4. North America Generative AI Market Challenges 3.2.2. Europe 3.2.2.1. Europe Generative AI Market Drivers 3.2.2.2. Europe Generative AI Market Restraints 3.2.2.3. Europe Generative AI Market Opportunities 3.2.2.4. Europe Generative AI Market Challenges 3.2.3. Asia Pacific 3.2.3.1. Asia Pacific Generative AI Market Drivers 3.2.3.2. Asia Pacific Generative AI Market Restraints 3.2.3.3. Asia Pacific Generative AI Market Opportunities 3.2.3.4. Asia Pacific Generative AI Market Challenges 3.2.4. Middle East and Africa 3.2.4.1. Middle East and Africa Generative AI Market Drivers 3.2.4.2. Middle East and Africa Generative AI Market Restraints 3.2.4.3. Middle East and Africa Generative AI Market Opportunities 3.2.4.4. Middle East and Africa Generative AI Market Challenges 3.2.5. South America 3.2.5.1. South America Generative AI Market Drivers 3.2.5.2. South America Generative AI Market Restraints 3.2.5.3. South America Generative AI Market Opportunities 3.2.5.4. South America Generative AI Market Challenges 3.3. PORTER’s Five Forces Analysis 3.4. PESTLE Analysis 3.5. Technology Roadmap 3.6. Regulatory Landscape by Region 3.6.1. Global 3.6.2. North America 3.6.3. Europe 3.6.4. Asia Pacific 3.6.5. Middle East and Africa 3.6.6. South America 3.7. Key Opinion Leader Analysis For Allogeneic Cell Therapy Industry 3.8. Analysis of Government Schemes and Initiatives For Allogeneic Cell Therapy Industry 3.9. The Global Pandemic Impact on Generative AI Market 4. Generative AI Market: Global Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million) (2022-2029) 4.1. Generative AI Market Size and Forecast, by Technology (2022-2029) 4.1.1. Generative Adversarial Networks (GANs) 4.1.2. Variational Autoencoders (VAEs) 4.1.3. Transformers 4.1.4. Deep Boltzmann Machines (DBMs) 4.1.5. Recurrent Neural Networks (RNNs) and LSTM 4.1.6. Others 4.2. Generative AI Market Size and Forecast, by Application (2022-2029) 4.2.1. Image and Video Generation 4.2.2. Text and Language Generation 4.2.3. Music and Audio Generation 4.2.4. Data Augmentation 4.2.5. Creative Content Generation 4.2.6. Virtual Reality (VR) and Augmented Reality (AR) 4.2.7. Drug Discovery and Molecular Design 4.2.8. Autonomous Systems and Robotics 4.2.9. Others 4.3. Generative AI Market Size and Forecast, by Deployment Mode (2022-2029) 4.3.1. On-Premises 4.3.2. Cloud-based 4.4. Generative AI Market Size and Forecast, by End-User (2022-2029) 4.4.1. Entertainment and Gaming 4.4.2. Healthcare and Life Sciences 4.4.3. Design and Creative Industries 4.5. Generative AI Market Size and Forecast, by $$$ (2022-2029) 4.5.1. Finance and Investment 4.5.2. Automotive and Transportation 4.5.3. E-commerce and Retail 4.6. Generative AI Market Size and Forecast, by Region (2022-2029) 4.6.1. North America 4.6.2. Europe 4.6.3. Asia Pacific 4.6.4. Middle East and Africa 4.6.5. South America 5. North America Generative AI Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million) (2022-2029) 5.1. North America Generative AI Market Size and Forecast, by Technology (2022-2029) 5.1.1. Generative Adversarial Networks (GANs) 5.1.2. Variational Autoencoders (VAEs) 5.1.3. Transformers 5.1.4. Deep Boltzmann Machines (DBMs) 5.1.5. Recurrent Neural Networks (RNNs) and LSTM 5.1.6. Others 5.2. North America Generative AI Market Size and Forecast, by Application (2022-2029) 5.2.1. Image and Video Generation 5.2.2. Text and Language Generation 5.2.3. Music and Audio Generation 5.2.4. Data Augmentation 5.2.5. Creative Content Generation 5.2.6. Virtual Reality (VR) and Augmented Reality (AR) 5.2.7. Drug Discovery and Molecular Design 5.2.8. Autonomous Systems and Robotics 5.2.9. Others 5.3. North America Generative AI Market Size and Forecast, by Deployment Mode (2022-2029) 5.3.1. On-Premises 5.3.2. Cloud-based 5.3.3. @3 5.4. North America Generative AI Market Size and Forecast, by End-User (2022-2029) 5.4.1. Entertainment and Gaming 5.4.2. Healthcare and Life Sciences 5.4.3. Design and Creative Industries 5.4.4. Finance and Investment 5.4.5. Automotive and Transportation 5.4.6. E-commerce and Retail 5.4.7. Education and Research 5.4.8. Manufacturing and Robotics 5.4.9. Others 5.5. Generative AI Market Size and Forecast, by Country (2022-2029) 5.5.1. United States 5.5.1.1. United States Generative AI Market Size and Forecast, by Technology (2022-2029) 5.5.1.1.1. Generative Adversarial Networks (GANs) 5.5.1.1.2. Variational Autoencoders (VAEs) 5.5.1.1.3. Transformers 5.5.1.1.4. Deep Boltzmann Machines (DBMs) 5.5.1.1.5. Recurrent Neural Networks (RNNs) and LSTM 5.5.1.1.6. Others 5.5.1.2. United States Generative AI Market Size and Forecast, by Application (2022-2029) 5.5.1.2.1. Image and Video Generation 5.5.1.2.2. Text and Language Generation 5.5.1.2.3. Music and Audio Generation 5.5.1.2.4. Data Augmentation 5.5.1.2.5. Creative Content Generation 5.5.1.2.6. Virtual Reality (VR) and Augmented Reality (AR) 5.5.1.2.7. Drug Discovery and Molecular Design 5.5.1.2.8. Autonomous Systems and Robotics 5.5.1.2.9. Others 5.5.1.3. United States Generative AI Market Size and Forecast, by Deployment Mode (2022-2029) 5.5.1.3.1. On-Premises 5.5.1.3.2. Cloud-based 5.5.1.4. United States Generative AI Market Size and Forecast, by End-User (2022-2029) 5.5.1.4.1. Entertainment and Gaming 5.5.1.4.2. Healthcare and Life Sciences 5.5.1.4.3. Design and Creative Industries 5.5.1.4.4. Finance and Investment 5.5.1.4.5. Automotive and Transportation 5.5.1.4.6. E-commerce and Retail 5.5.1.4.7. Education and Research 5.5.1.4.8. Manufacturing and Robotics 5.5.1.4.9. Others 5.5.2. Canada 5.5.2.1. Canada Generative AI Market Size and Forecast, by Technology (2022-2029) 5.5.2.1.1. Generative Adversarial Networks (GANs) 5.5.2.1.2. Variational Autoencoders (VAEs) 5.5.2.1.3. Transformers 5.5.2.1.4. Deep Boltzmann Machines (DBMs) 5.5.2.1.5. Recurrent Neural Networks (RNNs) and LSTM 5.5.2.1.6. Others 5.5.2.2. Canada Generative AI Market Size and Forecast, by Application (2022-2029) 5.5.2.2.1. Image and Video Generation 5.5.2.2.2. Text and Language Generation 5.5.2.2.3. Music and Audio Generation 5.5.2.2.4. Data Augmentation 5.5.2.2.5. Creative Content Generation 5.5.2.2.6. Virtual Reality (VR) and Augmented Reality (AR) 5.5.2.2.7. Drug Discovery and Molecular Design 5.5.2.2.8. Autonomous Systems and Robotics 5.5.2.2.9. Others 5.5.2.3. Canada Generative AI Market Size and Forecast, by Deployment Mode (2022-2029) 5.5.2.3.1. On-Premises 5.5.2.3.2. Cloud-based 5.5.2.4. Canada Generative AI Market Size and Forecast, by End-User (2022-2029) 5.5.2.4.1. Entertainment and Gaming 5.5.2.4.2. Healthcare and Life Sciences 5.5.2.4.3. Design and Creative Industries 5.5.2.4.4. Finance and Investment 5.5.2.4.5. Automotive and Transportation 5.5.2.4.6. E-commerce and Retail 5.5.2.4.7. Education and Research 5.5.2.4.8. Manufacturing and Robotics 5.5.2.4.9. Others 5.5.3. Mexico 5.5.3.1. Mexico Generative AI Market Size and Forecast, by Technology (2022-2029) 5.5.3.1.1. Generative Adversarial Networks (GANs) 5.5.3.1.2. Variational Autoencoders (VAEs) 5.5.3.1.3. Transformers 5.5.3.1.4. Deep Boltzmann Machines (DBMs) 5.5.3.1.5. Recurrent Neural Networks (RNNs) and LSTM 5.5.3.1.6. Others 5.5.3.2. Mexico Generative AI Market Size and Forecast, by Application (2022-2029) 5.5.3.2.1. Image and Video Generation 5.5.3.2.2. Text and Language Generation 5.5.3.2.3. Music and Audio Generation 5.5.3.2.4. Data Augmentation 5.5.3.2.5. Creative Content Generation 5.5.3.2.6. Virtual Reality (VR) and Augmented Reality (AR) 5.5.3.2.7. Drug Discovery and Molecular Design 5.5.3.2.8. Autonomous Systems and Robotics 5.5.3.2.9. Others 5.5.3.3. Mexico Generative AI Market Size and Forecast, by Deployment Mode (2022-2029) 5.5.3.3.1. On-Premises 5.5.3.3.2. Cloud-based 5.5.3.4. Mexico Generative AI Market Size and Forecast, by End-User (2022-2029) 5.5.3.4.1. Entertainment and Gaming 5.5.3.4.2. Healthcare and Life Sciences 5.5.3.4.3. Design and Creative Industries 5.5.3.4.4. Finance and Investment 5.5.3.4.5. Automotive and Transportation 5.5.3.4.6. E-commerce and Retail 5.5.3.4.7. Education and Research 5.5.3.4.8. Manufacturing and Robotics 5.5.3.4.9. Others 6. Europe Generative AI Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million) (2022-2029) 6.1. Europe Generative AI Market Size and Forecast, by Technology (2022-2029) 6.2. Europe Generative AI Market Size and Forecast, by Application (2022-2029) 6.3. Europe Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 6.4. Europe Generative AI Market Size and Forecast, by End-User(2022-2029) 6.5. Europe Generative AI Market Size and Forecast, by Country (2022-2029) 6.5.1. United Kingdom 6.5.1.1. United Kingdom Generative AI Market Size and Forecast, by Technology (2022-2029) 6.5.1.2. United Kingdom Generative AI Market Size and Forecast, by Application (2022-2029) 6.5.1.3. United Kingdom Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 6.5.1.4. United Kingdom Generative AI Market Size and Forecast, by End-User(2022-2029) 6.5.2. France 6.5.2.1. France Generative AI Market Size and Forecast, by Technology (2022-2029) 6.5.2.2. France Generative AI Market Size and Forecast, by Application (2022-2029) 6.5.2.3. France Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 6.5.2.4. France Generative AI Market Size and Forecast, by End-User(2022-2029) 6.5.3. Germany 6.5.3.1. Germany Generative AI Market Size and Forecast, by Technology (2022-2029) 6.5.3.2. Germany Generative AI Market Size and Forecast, by Application (2022-2029) 6.5.3.3. Germany Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 6.5.3.4. Germany Generative AI Market Size and Forecast, by End-User(2022-2029) 6.5.4. Italy 6.5.4.1. Italy Generative AI Market Size and Forecast, by Technology (2022-2029) 6.5.4.2. Italy Generative AI Market Size and Forecast, by Application (2022-2029) 6.5.4.3. Italy Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 6.5.4.4. Italy Generative AI Market Size and Forecast, by End-User(2022-2029) 6.5.5. Spain 6.5.5.1. Spain Generative AI Market Size and Forecast, by Technology (2022-2029) 6.5.5.2. Spain Generative AI Market Size and Forecast, by Application (2022-2029) 6.5.5.3. Spain Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 6.5.5.4. Spain Generative AI Market Size and Forecast, by End-User(2022-2029) 6.5.6. Sweden 6.5.6.1. Sweden Generative AI Market Size and Forecast, by Technology (2022-2029) 6.5.6.2. Sweden Generative AI Market Size and Forecast, by Application (2022-2029) 6.5.6.3. Sweden Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 6.5.6.4. Sweden Generative AI Market Size and Forecast, by End-User(2022-2029) 6.5.7. Austria 6.5.7.1. Austria Generative AI Market Size and Forecast, by Technology (2022-2029) 6.5.7.2. Austria Generative AI Market Size and Forecast, by Application (2022-2029) 6.5.7.3. Austria Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 6.5.7.4. Austria Generative AI Market Size and Forecast, by End-User(2022-2029) 6.5.8. Rest of Europe 6.5.8.1. Rest of Europe Generative AI Market Size and Forecast, by Technology (2022-2029) 6.5.8.2. Rest of Europe Generative AI Market Size and Forecast, by Application (2022-2029) 6.5.8.3. Rest of Europe Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 6.5.8.4. Rest of Europe Generative AI Market Size and Forecast, by End-User(2022-2029) 7. Asia Pacific Generative AI Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million) (2022-2029) 7.1. Asia Pacific Generative AI Market Size and Forecast, by Technology (2022-2029) 7.2. Asia Pacific Generative AI Market Size and Forecast, by Application (2022-2029) 7.3. Asia Pacific Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 7.4. Asia Pacific Generative AI Market Size and Forecast, by End-User(2022-2029) 7.5. Asia Pacific Generative AI Market Size and Forecast, by Country (2022-2029) 7.5.1. China 7.5.1.1. China Generative AI Market Size and Forecast, by Technology (2022-2029) 7.5.1.2. China Generative AI Market Size and Forecast, by Application (2022-2029) 7.5.1.3. China Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 7.5.1.4. China Generative AI Market Size and Forecast, by End-User(2022-2029) 7.5.2. S Korea 7.5.2.1. S Korea Generative AI Market Size and Forecast, by Technology (2022-2029) 7.5.2.2. S Korea Generative AI Market Size and Forecast, by Application (2022-2029) 7.5.2.3. S Korea Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 7.5.2.4. S Korea Generative AI Market Size and Forecast, by End-User(2022-2029) 7.5.3. Japan 7.5.3.1. Japan Generative AI Market Size and Forecast, by Technology (2022-2029) 7.5.3.2. Japan Generative AI Market Size and Forecast, by Application (2022-2029) 7.5.3.3. Japan Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 7.5.3.4. Japan Generative AI Market Size and Forecast, by End-User(2022-2029) 7.5.4. India 7.5.4.1. India Generative AI Market Size and Forecast, by Technology (2022-2029) 7.5.4.2. India Generative AI Market Size and Forecast, by Application (2022-2029) 7.5.4.3. India Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 7.5.4.4. India Generative AI Market Size and Forecast, by End-User(2022-2029) 7.5.5. Australia 7.5.5.1. Australia Generative AI Market Size and Forecast, by Technology (2022-2029) 7.5.5.2. Australia Generative AI Market Size and Forecast, by Application (2022-2029) 7.5.5.3. Australia Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 7.5.5.4. Australia Generative AI Market Size and Forecast, by End-User(2022-2029) 7.5.6. Indonesia 7.5.6.1. Indonesia Generative AI Market Size and Forecast, by Technology (2022-2029) 7.5.6.2. Indonesia Generative AI Market Size and Forecast, by Application (2022-2029) 7.5.6.3. Indonesia Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 7.5.6.4. Indonesia Generative AI Market Size and Forecast, by End-User(2022-2029) 7.5.7. Malaysia 7.5.7.1. Malaysia Generative AI Market Size and Forecast, by Technology (2022-2029) 7.5.7.2. Malaysia Generative AI Market Size and Forecast, by Application (2022-2029) 7.5.7.3. Malaysia Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 7.5.7.4. Malaysia Generative AI Market Size and Forecast, by End-User(2022-2029) 7.5.8. Vietnam 7.5.8.1. Vietnam Generative AI Market Size and Forecast, by Technology (2022-2029) 7.5.8.2. Vietnam Generative AI Market Size and Forecast, by Application (2022-2029) 7.5.8.3. Vietnam Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 7.5.8.4. Vietnam Generative AI Market Size and Forecast, by End-User(2022-2029) 7.5.9. Taiwan 7.5.9.1. Taiwan Generative AI Market Size and Forecast, by Technology (2022-2029) 7.5.9.2. Taiwan Generative AI Market Size and Forecast, by Application (2022-2029) 7.5.9.3. Taiwan Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 7.5.9.4. Taiwan Generative AI Market Size and Forecast, by End-User(2022-2029) 7.5.10. Rest of Asia Pacific 7.5.10.1. Rest of Asia Pacific Generative AI Market Size and Forecast, by Technology (2022-2029) 7.5.10.2. Rest of Asia Pacific Generative AI Market Size and Forecast, by Application (2022-2029) 7.5.10.3. Rest of Asia Pacific Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 7.5.10.4. Rest of Asia Pacific Generative AI Market Size and Forecast, by End-User(2022-2029) 8. Middle East and Africa Generative AI Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million) (2022-2029 8.1. Middle East and Africa Generative AI Market Size and Forecast, by Technology (2022-2029) 8.2. Middle East and Africa Generative AI Market Size and Forecast, by Application (2022-2029) 8.3. Middle East and Africa Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 8.4. Middle East and Africa Generative AI Market Size and Forecast, by End-User(2022-2029) 8.5. Middle East and Africa Generative AI Market Size and Forecast, by Country (2022-2029) 8.5.1. South Africa 8.5.1.1. South Africa Generative AI Market Size and Forecast, by Technology (2022-2029) 8.5.1.2. South Africa Generative AI Market Size and Forecast, by Technology (2022-2029) 8.5.1.3. South Africa Generative AI Market Size and Forecast, by Application (2022-2029) 8.5.1.4. South Africa Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 8.5.1.5. South Africa Generative AI Market Size and Forecast, by End-User(2022-2029) 8.5.2. GCC 8.5.2.1. GCC Generative AI Market Size and Forecast, by Technology (2022-2029) 8.5.2.2. GCC Generative AI Market Size and Forecast, by Application (2022-2029) 8.5.2.3. GCC Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 8.5.2.4. GCC Generative AI Market Size and Forecast, by End-User(2022-2029) 8.5.3. Nigeria 8.5.3.1. Nigeria Generative AI Market Size and Forecast, by Technology (2022-2029) 8.5.3.2. Nigeria Generative AI Market Size and Forecast, by Application (2022-2029) 8.5.3.3. Nigeria Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 8.5.3.4. Nigeria Generative AI Market Size and Forecast, by End-User(2022-2029) 8.5.4. Rest of ME&A 8.5.4.1. Rest of ME&A Generative AI Market Size and Forecast, by Technology (2022-2029) 8.5.4.2. Rest of ME&A Generative AI Market Size and Forecast, by Application (2022-2029) 8.5.4.3. Rest of ME&A Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 8.5.4.4. Rest of ME&A Generative AI Market Size and Forecast, by End-User(2022-2029) 9. South America Generative AI Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million) (2022-2029 9.1. South America Generative AI Market Size and Forecast, by Technology (2022-2029) 9.2. Middle East and Africa Generative AI Market Size and Forecast, by Application (2022-2029) 9.3. Middle East and Africa Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 9.4. Middle East and Africa Generative AI Market Size and Forecast, by End-User(2022-2029) 9.5. Middle East and Africa Generative AI Market Size and Forecast, by Country (2022-2029) 9.5.1. Brazil 9.5.1.1. Brazil Generative AI Market Size and Forecast, by Technology (2022-2029) 9.5.1.2. Brazil Generative AI Market Size and Forecast, by Application (2022-2029) 9.5.1.3. Brazil Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 9.5.1.4. Brazil Generative AI Market Size and Forecast, by End-User(2022-2029) 9.5.2. Argentina 9.5.2.1. Argentina Generative AI Market Size and Forecast, by Technology (2022-2029) 9.5.2.2. Argentina Generative AI Market Size and Forecast, by Application (2022-2029) 9.5.2.3. Argentina Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 9.5.2.4. Argentina Generative AI Market Size and Forecast, by End-User(2022-2029) 9.5.3. Rest Of South America 9.5.3.1. Rest Of South America Generative AI Market Size and Forecast, by Technology (2022-2029) 9.5.3.2. Rest Of South America Generative AI Market Size and Forecast, by Application (2022-2029) 9.5.3.3. Rest Of South America Generative AI Market Size and Forecast, by Deployment Mode(2022-2029) 9.5.3.4. Rest Of South America Generative AI Market Size and Forecast, by End-User(2022-2029) 10. Global Generative AI Market: Competitive Landscape 10.1. MMR Competition Matrix 10.2. Competitive Landscape 10.3. Key Players Benchmarking 10.3.1. Company Name 10.3.2. Service Segment 10.3.3. End-user Segment 10.3.4. Revenue (2022) 10.3.5. Company Locations 10.4. Leading Generative AI Market Companies, by market capitalization 10.5. Market Structure 10.5.1. Market Leaders 10.5.2. Market Followers 10.5.3. Emerging Players 10.6. Mergers and Acquisitions Details 11. Company Profile: Key Players 11.1. Sequoia Capital 11.1.1. Company Overview 11.1.2. Business Portfolio 11.1.3. Financial Overview 11.1.4. SWOT Analysis 11.1.5. Strategic Analysis 11.1.6. Scale of Operation (small, medium, and large) 11.1.7. Details on Partnership 11.1.8. Regulatory Accreditations and Certifications Received by Them 11.1.9. Awards Received by the Firm 11.1.10. Recent Developments 11.2. OpenAI 11.3. NVIDIA 11.4. Alphasense Inc. 11.5. Synthesia 11.6. Rephrase.ai 11.7. MOSTLY AI Inc 11.8. Google 11.9. Microsoft 11.10. IBM 11.11. Facebook AI Research (FAIR) 11.12. Adobe 11.13. Apple 11.14. Salesforce 11.15. Intel 11.16. Amazon Web Services (AWS) 11.17. Siemens 12. Key Findings 13. Industry Recommendations 14. Terms and Glossary

About This Report

Report ID 213700
Category Information Technology & Telecommunication
Published Date Aug 2023
Updated Date
  • INQUIRE BEFORE BUYING