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Generative AI Market By Component (Software, Services), By Technology (Generative Adversarial Networks (GANs), Transformer, Variational Autoencoder (VAE), Diffusion Networks), By End User (Media and Entertainment, BFSI, IT and Telecom, Healthcare, Automotive and Transportation, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031
Published Date: March 2023
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Report Code: ALLI-Manu-0E89
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Generative AI Market
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Generative AI Market By Component (Software, Services), By Technology (Generative Adversarial Networks (GANs), Transformer, Variational Autoencoder (VAE), Diffusion Networks), By End User (Media and Entertainment, BFSI, IT and Telecom, Healthcare, Automotive and Transportation, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031

Code: ALLI-Manu-0E89
Report
March 2023
Pages:261
Allied Market Research
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES

Generative AI Market Size

According to a new report published by , titled, “Generative AI Market," The generative ai market was valued at $8.15 billion in 2021, and is estimated to reach $126.5 billion by 2031, growing at a CAGR of 32% from 2022 to 2031.

Generative AI Market

Generative AI Market

Generative AI has numerous applications, including creative arts, such as music and visual arts, data augmentation, simulation, and product design. There are two main types of generative AI: generative adversarial networks (GANs) and variational autoencoders (VAEs). GANs consist of two neural networks that compete against each other to generate and distinguish real and fake samples. VAEs, on the other hand, use an encoding-decoding process to generate new samples. In recent years, generative AI has made significant advancements and has been used to produce high-quality outputs that are difficult for humans to distinguish from real examples. Despite these advancements, there are still challenges in the field, such as controlling the diversity and quality of the generated outputs and addressing ethical concerns, such as the potential for these systems to produce biased or malicious outputs.
Key factors driving the growth of the generative AI market include the rise in usage of artificial intelligence-integrated systems across industry verticals, and the rising need to create virtual worlds in the metaverse and modernize the workforce in industry are driving the growth of the market. in addition, the rise in popularity of generative AI in the healthcare industry for rendering products, such as prosthetic limbs and organic molecules from scratch using 3D printing, CRISPR, and other technologies are considered to be the major driving factor for the market growth. It also enables early identification of potential malignancy to bring more effective treatment plans. Apart from this, the elevating requirement for this technology to assist chatbots in holding effective conversations and boosting customer satisfaction is often acting as another significant growth-inducing factor for the market growth. For instance, in January 2023, Nvidia, in partnership with Evozyne, a pharmaceutical startup, launched a new generative AI model capable of producing proteins for use in medicine and other industries. This new protein transformer variational auto-encoder (ProT-VAE) is built on Nvidia’s BioNeMo framework and uses generative AI to rapidly create synthetic protein designs that fit into the given parameters. Such tactical factors are accelerating market growth.
The market also offers growth opportunities to the key players in the market. Deep learning is part of a broader category of machine learning methods based on artificial neural networks with representation learning. Generative models are the type of ML that uses artificial intelligence, probability, and statistics to produce a computer-generated representation of a targeted variable calculated from prior observations, input, or datasets. This implied that it could generate new or synthetic data through ML and deep learning after being trained on a real dataset. As a result, the demand for machine learning and deep learning also increases to provide a better computer-generated representation, which significantly paves the implementation of generative AI. These aforementioned factors are projected to strengthen the market growth during the forecast period.
The global generative AI market is segmented into component, technology, end user, and region. Depending on the component, the market is divided into software, and services. By technology, it is divided into generative adversarial networks (GANs), transformers, variational auto-encoders, and diffusion networks. Based on end user, it is bifurcated into media and entertainment, BFSI, IT and telecom, healthcare, automotive & transformation, and others. Region wise, it is analyzed across North America (the U.S., and Canada), Europe (the UK, Germany, France, Italy, Spain, and the rest of Europe), Asia-Pacific (China, India, Japan, Australia, South Korea, and rest of Asia-Pacific), and LAMEA (Latin America, Middle East, and Africa).
The key players profiled in the study are Adobe, Inc., Amazon Web Services, Inc., D-ID, Genie AI Ltd., Google LLC, IBM Corporation, Microsoft Corporation, MOSTLY AI Inc., Rephrase.ai, and Synthesia. The players in the market have been actively engaged in the adoption of various strategies such as partnership, collaboration, acquisition, product development, and product launch to remain competitive and gain an advantage over the competitors in the market. For instance, in October 2022, Adobe introduced Generative AI, an AIbased technology to develop an approach that centers on the needs of creatives by integrating Generative AI into Adobe creative tools.
Key Market Insights
By component, the software segment was the highest revenue contributor to the market and is estimated to reach $ 82.45 billion by 2031, with a CAGR of 31.4%. However, the services segment is estimated to be the fastest-growing segment with a CAGR of 33.3% during the forecast period.
By technology, the transformer segment dominated the global market and is estimated to reach $ 41.42 billion by 2031, with a CAGR of 29.9%. However, the diffusion networks segment is expected to be the fastest-growing segment during the generative AI market Forecast.
Based on end user, the media and entertainment segment was the highest revenue contributor to the market, with $ 2.7 billion in 2021, and is estimated to reach $ 31.07 billion by 2031, with a CAGR of 28.1%.
Based on region, North America was the highest revenue contributor and fastest growing region, accounting for $ 3.3 billion in 2021, and is estimated to reach $ 46.27 billion by 2031, with a CAGR of 30.7%.
 
 

Overview

Generative AI refers to a process involving the use of AI- and ML-based models that produce text, images, blog posts, program code, poetry, and artwork. In addition, it includes tools for painting and creating pictures as well as for leveraging information found online to create press releases, white papers, company brochures, website articles, and article summaries. This solution can generate a new text based on the input it receives, and pretrained as it is trained on a large corpus of text data before being fine-tuned for specific tasks. For instance, the ChatGPT generative AI program can write marketing copy, computer code, blogs, and even search query results. In addition, one of the benefits of generative AI is that it can take over huge quantity of tedious, repetitive tasks which is performed by support staff such as data entry and compliance checks.
Rise in usage of AI-integrated systems across various verticals and surge in need to create virtual worlds in the metaverse and modernize the workforce across several industries are driving the growth of the market. In addition, growth in popularity of generative AI in the healthcare industry for rendering several products & services is fueling the growth of the generative AI market. However, generative AI has security issues as some models can be used fraudulently, leading to increase in identity theft, as well as involve high implementation cost that may limit the market growth. Conversely, increase in demand for machine learning and deep learning is anticipated to provide numerous opportunities for the expansion of the market during the forecast period.
The global generative AI market is segmented into component, technology, end user, and region. Depending on the component, the market is divided into software and services. By technology, it is divided into generative adversarial networks (GANs), transformers, variational auto-encoders, and diffusion networks. As per end user, it is segmented into media & entertainment, BFSI, IT, & telecom, healthcare, automotive & transportation, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The global generative AI market is dominated by key players such as Adobe, Inc., Amazon Web Services, Inc., D-ID, Genie AI Ltd., Google LLC, IBM Corporation, Microsoft Corporation, MOSTLY AI Inc., Rephrase.ai, and Synthesia. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.

KEY BENEFITS FOR STAKEHOLDERS              

●The study provides an in-depth analysis of the global generative AI market forecast along with the current & future trends to explain the imminent investment pockets.
●information about key drivers, restraints, & opportunities and their impact analysis on global generative AI market trends is provided in the report.
●Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
●The quantitative analysis of the market from 2022 to 2031 is provided to determine the market potential.
Key Market Segments
○ Synthesi

Scope of Generative AI Market Report

Report Metric Details
Report Name Generative AI Market
Accounted market size in 2021 $ 8.15 billion
Forecasted market size in 2031 $ 126.5 billion
CAGR 32%
Base Year 2021
Forecasted years 2024 - 2031
By Component ● Software
● Services
By Technology ● Generative Adversarial Networks (GANs)
● Transformer
● Variational Autoencoder (VAE)
● Diffusion Networks
By End User ● Media and Entertainment
● BFSI
● IT and Telecom
● Healthcare
● Automotive and Transportation
● Others
By Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • Asia-Pacific (China, Japan, South Korea)
  • Southeast Asia (India, Australia)
  • Rest of Asia
  • Latin America (Mexico, Brazil)
  • Rest of Latin America
  • Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

FAQ for this report

How fast is Generative AI Market growing?

Ans: The Generative AI Market witnessing a CAGR of 32% during the forecast period 2024-2031.

What is the Generative AI Market size in 2031?

Ans: The Generative AI Market size in 2031 will be $ 126.5 billion.

What are the End User segmentation covered in the Generative AI Market report?

Ans: The End users covered in the Generative AI Market report are ● Media and Entertainment, ● BFSI, ● IT and Telecom, ● Healthcare, ● Automotive and Transportation, ● Others

CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research Methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO Perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.3. Porter’s five forces analysis
3.3.1. Bargaining power of suppliers
3.3.2. Bargaining power of buyers
3.3.3. Threat of substitutes
3.3.4. Threat of new entrants
3.3.5. Intensity of rivalry
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Rise in usage of artificial intelligence-integrated systems across industry verticals
3.4.1.2. Rising need to create virtual worlds in the metaverse and modernize the workforce across the industry
3.4.1.3. Growing popularity of generative AI in the healthcare industry
3.4.2. Restraints
3.4.2.1. Generative AI has security issues leading to increased identity theft
3.4.2.2. Lack of skilled workforce and high implementation cost
3.4.3. Opportunities
3.4.3.1. Increase in demand for machine learning and deep learning
3.5. COVID-19 Impact Analysis on the market
CHAPTER 4: GENERATIVE AI MARKET, BY COMPONENT
4.1. Overview
4.1.1. Market size and forecast
4.2. Software
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market share analysis by country
4.3. Services
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market share analysis by country
CHAPTER 5: GENERATIVE AI MARKET, BY TECHNOLOGY
5.1. Overview
5.1.1. Market size and forecast
5.2. Generative Adversarial Networks (GANs)
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market share analysis by country
5.3. Transformer
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market share analysis by country
5.4. Variational Autoencoder (VAE)
5.4.1. Key market trends, growth factors and opportunities
5.4.2. Market size and forecast, by region
5.4.3. Market share analysis by country
5.5. Diffusion Networks
5.5.1. Key market trends, growth factors and opportunities
5.5.2. Market size and forecast, by region
5.5.3. Market share analysis by country
CHAPTER 6: GENERATIVE AI MARKET, BY END USER
6.1. Overview
6.1.1. Market size and forecast
6.2. Media and Entertainment
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market share analysis by country
6.3. BFSI
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market share analysis by country
6.4. IT and Telecom
6.4.1. Key market trends, growth factors and opportunities
6.4.2. Market size and forecast, by region
6.4.3. Market share analysis by country
6.5. Healthcare
6.5.1. Key market trends, growth factors and opportunities
6.5.2. Market size and forecast, by region
6.5.3. Market share analysis by country
6.6. Automotive and Transportation
6.6.1. Key market trends, growth factors and opportunities
6.6.2. Market size and forecast, by region
6.6.3. Market share analysis by country
6.7. Others
6.7.1. Key market trends, growth factors and opportunities
6.7.2. Market size and forecast, by region
6.7.3. Market share analysis by country
CHAPTER 7: GENERATIVE AI MARKET, BY REGION
7.1. Overview
7.1.1. Market size and forecast By Region
7.2. North America
7.2.1. Key trends and opportunities
7.2.2. Market size and forecast, by Component
7.2.3. Market size and forecast, by Technology
7.2.4. Market size and forecast, by End User
7.2.5. Market size and forecast, by country
7.2.5.1. U.S.
7.2.5.1.1. Key market trends, growth factors and opportunities
7.2.5.1.2. Market size and forecast, by Component
7.2.5.1.3. Market size and forecast, by Technology
7.2.5.1.4. Market size and forecast, by End User
7.2.5.2. Canada
7.2.5.2.1. Key market trends, growth factors and opportunities
7.2.5.2.2. Market size and forecast, by Component
7.2.5.2.3. Market size and forecast, by Technology
7.2.5.2.4. Market size and forecast, by End User
7.3. Europe
7.3.1. Key trends and opportunities
7.3.2. Market size and forecast, by Component
7.3.3. Market size and forecast, by Technology
7.3.4. Market size and forecast, by End User
7.3.5. Market size and forecast, by country
7.3.5.1. UK
7.3.5.1.1. Key market trends, growth factors and opportunities
7.3.5.1.2. Market size and forecast, by Component
7.3.5.1.3. Market size and forecast, by Technology
7.3.5.1.4. Market size and forecast, by End User
7.3.5.2. Germany
7.3.5.2.1. Key market trends, growth factors and opportunities
7.3.5.2.2. Market size and forecast, by Component
7.3.5.2.3. Market size and forecast, by Technology
7.3.5.2.4. Market size and forecast, by End User
7.3.5.3. France
7.3.5.3.1. Key market trends, growth factors and opportunities
7.3.5.3.2. Market size and forecast, by Component
7.3.5.3.3. Market size and forecast, by Technology
7.3.5.3.4. Market size and forecast, by End User
7.3.5.4. Italy
7.3.5.4.1. Key market trends, growth factors and opportunities
7.3.5.4.2. Market size and forecast, by Component
7.3.5.4.3. Market size and forecast, by Technology
7.3.5.4.4. Market size and forecast, by End User
7.3.5.5. Spain
7.3.5.5.1. Key market trends, growth factors and opportunities
7.3.5.5.2. Market size and forecast, by Component
7.3.5.5.3. Market size and forecast, by Technology
7.3.5.5.4. Market size and forecast, by End User
7.3.5.6. Rest of Europe
7.3.5.6.1. Key market trends, growth factors and opportunities
7.3.5.6.2. Market size and forecast, by Component
7.3.5.6.3. Market size and forecast, by Technology
7.3.5.6.4. Market size and forecast, by End User
7.4. Asia-Pacific
7.4.1. Key trends and opportunities
7.4.2. Market size and forecast, by Component
7.4.3. Market size and forecast, by Technology
7.4.4. Market size and forecast, by End User
7.4.5. Market size and forecast, by country
7.4.5.1. China
7.4.5.1.1. Key market trends, growth factors and opportunities
7.4.5.1.2. Market size and forecast, by Component
7.4.5.1.3. Market size and forecast, by Technology
7.4.5.1.4. Market size and forecast, by End User
7.4.5.2. India
7.4.5.2.1. Key market trends, growth factors and opportunities
7.4.5.2.2. Market size and forecast, by Component
7.4.5.2.3. Market size and forecast, by Technology
7.4.5.2.4. Market size and forecast, by End User
7.4.5.3. Japan
7.4.5.3.1. Key market trends, growth factors and opportunities
7.4.5.3.2. Market size and forecast, by Component
7.4.5.3.3. Market size and forecast, by Technology
7.4.5.3.4. Market size and forecast, by End User
7.4.5.4. Australia
7.4.5.4.1. Key market trends, growth factors and opportunities
7.4.5.4.2. Market size and forecast, by Component
7.4.5.4.3. Market size and forecast, by Technology
7.4.5.4.4. Market size and forecast, by End User
7.4.5.5. South Korea
7.4.5.5.1. Key market trends, growth factors and opportunities
7.4.5.5.2. Market size and forecast, by Component
7.4.5.5.3. Market size and forecast, by Technology
7.4.5.5.4. Market size and forecast, by End User
7.4.5.6. Rest of Asia-Pacific
7.4.5.6.1. Key market trends, growth factors and opportunities
7.4.5.6.2. Market size and forecast, by Component
7.4.5.6.3. Market size and forecast, by Technology
7.4.5.6.4. Market size and forecast, by End User
7.5. LAMEA
7.5.1. Key trends and opportunities
7.5.2. Market size and forecast, by Component
7.5.3. Market size and forecast, by Technology
7.5.4. Market size and forecast, by End User
7.5.5. Market size and forecast, by country
7.5.5.1. Latin America
7.5.5.1.1. Key market trends, growth factors and opportunities
7.5.5.1.2. Market size and forecast, by Component
7.5.5.1.3. Market size and forecast, by Technology
7.5.5.1.4. Market size and forecast, by End User
7.5.5.2. Middle East
7.5.5.2.1. Key market trends, growth factors and opportunities
7.5.5.2.2. Market size and forecast, by Component
7.5.5.2.3. Market size and forecast, by Technology
7.5.5.2.4. Market size and forecast, by End User
7.5.5.3. Africa
7.5.5.3.1. Key market trends, growth factors and opportunities
7.5.5.3.2. Market size and forecast, by Component
7.5.5.3.3. Market size and forecast, by Technology
7.5.5.3.4. Market size and forecast, by End User
CHAPTER 8: COMPETITIVE LANDSCAPE
8.1. Introduction
8.2. Top winning strategies
8.3. Product Mapping of Top 10 Player
8.4. Competitive Dashboard
8.5. Competitive Heatmap
8.6. Top player positioning, 2021
CHAPTER 9: COMPANY PROFILES
9.1. Adobe.
9.1.1. Company overview
9.1.2. Key Executives
9.1.3. Company snapshot
9.1.4. Operating business segments
9.1.5. Product portfolio
9.1.6. Business performance
9.1.7. Key strategic moves and developments
9.2. Amazon Web Services, Inc.
9.2.1. Company overview
9.2.2. Key Executives
9.2.3. Company snapshot
9.2.4. Operating business segments
9.2.5. Product portfolio
9.2.6. Business performance
9.2.7. Key strategic moves and developments
9.3. D-ID
9.3.1. Company overview
9.3.2. Key Executives
9.3.3. Company snapshot
9.3.4. Operating business segments
9.3.5. Product portfolio
9.3.6. Key strategic moves and developments
9.4. Genie AI Ltd.
9.4.1. Company overview
9.4.2. Key Executives
9.4.3. Company snapshot
9.4.4. Operating business segments
9.4.5. Product portfolio
9.5. Google LLC
9.5.1. Company overview
9.5.2. Key Executives
9.5.3. Company snapshot
9.5.4. Operating business segments
9.5.5. Product portfolio
9.5.6. Business performance
9.5.7. Key strategic moves and developments
9.6. IBM Corporation
9.6.1. Company overview
9.6.2. Key Executives
9.6.3. Company snapshot
9.6.4. Operating business segments
9.6.5. Product portfolio
9.6.6. Business performance
9.6.7. Key strategic moves and developments
9.7. Microsoft Corporation
9.7.1. Company overview
9.7.2. Key Executives
9.7.3. Company snapshot
9.7.4. Operating business segments
9.7.5. Product portfolio
9.7.6. Business performance
9.7.7. Key strategic moves and developments
9.8. MOSTLY AI Inc.
9.8.1. Company overview
9.8.2. Key Executives
9.8.3. Company snapshot
9.8.4. Operating business segments
9.8.5. Product portfolio
9.8.6. Key strategic moves and developments
9.9. Rephrase.ai
9.9.1. Company overview
9.9.2. Key Executives
9.9.3. Company snapshot
9.9.4. Operating business segments
9.9.5. Product portfolio
9.9.6. Key strategic moves and developments
9.10. Synthesia
9.10.1. Company overview
9.10.2. Key Executives
9.10.3. Company snapshot
9.10.4. Operating business segments
9.10.5. Product portfolio
9.10.6. Key strategic moves and development
LIST OF TABLES
TABLE 01. GLOBAL GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 02. GENERATIVE AI MARKET FOR SOFTWARE, BY REGION, 2021-2031 ($BILLION)
TABLE 03. GENERATIVE AI MARKET FOR SERVICES, BY REGION, 2021-2031 ($BILLION)
TABLE 04. GLOBAL GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 05. GENERATIVE AI MARKET FOR GENERATIVE ADVERSARIAL NETWORKS (GANS), BY REGION, 2021-2031 ($BILLION)
TABLE 06. GENERATIVE AI MARKET FOR TRANSFORMER, BY REGION, 2021-2031 ($BILLION)
TABLE 07. GENERATIVE AI MARKET FOR VARIATIONAL AUTOENCODER (VAE), BY REGION, 2021-2031 ($BILLION)
TABLE 08. GENERATIVE AI MARKET FOR DIFFUSION NETWORKS, BY REGION, 2021-2031 ($BILLION)
TABLE 09. GLOBAL GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 10. GENERATIVE AI MARKET FOR MEDIA AND ENTERTAINMENT, BY REGION, 2021-2031 ($BILLION)
TABLE 11. GENERATIVE AI MARKET FOR BFSI, BY REGION, 2021-2031 ($BILLION)
TABLE 12. GENERATIVE AI MARKET FOR IT AND TELECOM, BY REGION, 2021-2031 ($BILLION)
TABLE 13. GENERATIVE AI MARKET FOR HEALTHCARE, BY REGION, 2021-2031 ($BILLION)
TABLE 14. GENERATIVE AI MARKET FOR AUTOMOTIVE AND TRANSPORTATION, BY REGION, 2021-2031 ($BILLION)
TABLE 15. GENERATIVE AI MARKET FOR OTHERS, BY REGION, 2021-2031 ($BILLION)
TABLE 16. GENERATIVE AI MARKET, BY REGION, 2021-2031 ($BILLION)
TABLE 17. NORTH AMERICA GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 18. NORTH AMERICA GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 19. NORTH AMERICA GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 20. NORTH AMERICA GENERATIVE AI MARKET, BY COUNTRY, 2021-2031 ($BILLION)
TABLE 21. U.S. GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 22. U.S. GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 23. U.S. GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 24. CANADA GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 25. CANADA GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 26. CANADA GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 27. EUROPE GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 28. EUROPE GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 29. EUROPE GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 30. EUROPE GENERATIVE AI MARKET, BY COUNTRY, 2021-2031 ($BILLION)
TABLE 31. UK GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 32. UK GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 33. UK GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 34. GERMANY GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 35. GERMANY GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 36. GERMANY GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 37. FRANCE GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 38. FRANCE GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 39. FRANCE GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 40. ITALY GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 41. ITALY GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 42. ITALY GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 43. SPAIN GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 44. SPAIN GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 45. SPAIN GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 46. REST OF EUROPE GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 47. REST OF EUROPE GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 48. REST OF EUROPE GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 49. ASIA-PACIFIC GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 50. ASIA-PACIFIC GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 51. ASIA-PACIFIC GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 52. ASIA-PACIFIC GENERATIVE AI MARKET, BY COUNTRY, 2021-2031 ($BILLION)
TABLE 53. CHINA GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 54. CHINA GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 55. CHINA GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 56. INDIA GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 57. INDIA GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 58. INDIA GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 59. JAPAN GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 60. JAPAN GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 61. JAPAN GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 62. AUSTRALIA GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 63. AUSTRALIA GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 64. AUSTRALIA GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 65. SOUTH KOREA GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 66. SOUTH KOREA GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 67. SOUTH KOREA GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 68. REST OF ASIA-PACIFIC GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 69. REST OF ASIA-PACIFIC GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 70. REST OF ASIA-PACIFIC GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 71. LAMEA GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 72. LAMEA GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 73. LAMEA GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 74. LAMEA GENERATIVE AI MARKET, BY COUNTRY, 2021-2031 ($BILLION)
TABLE 75. LATIN AMERICA GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 76. LATIN AMERICA GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 77. LATIN AMERICA GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 78. MIDDLE EAST GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 79. MIDDLE EAST GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 80. MIDDLE EAST GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 81. AFRICA GENERATIVE AI MARKET, BY COMPONENT, 2021-2031 ($BILLION)
TABLE 82. AFRICA GENERATIVE AI MARKET, BY TECHNOLOGY, 2021-2031 ($BILLION)
TABLE 83. AFRICA GENERATIVE AI MARKET, BY END USER, 2021-2031 ($BILLION)
TABLE 84. ADOBE.: KEY EXECUTIVES
TABLE 85. ADOBE.: COMPANY SNAPSHOT
TABLE 86. ADOBE.: SERVICE SEGMENTS
TABLE 87. ADOBE.: PRODUCT PORTFOLIO
TABLE 88. ADOBE.: KEY STRATERGIES
TABLE 89. AMAZON WEB SERVICES, INC.: KEY EXECUTIVES
TABLE 90. AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
TABLE 91. AMAZON WEB SERVICES, INC.: SERVICE SEGMENTS
TABLE 92. AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO
TABLE 93. AMAZON WEB SERVICES, INC.: KEY STRATERGIES
TABLE 94. D-ID: KEY EXECUTIVES
TABLE 95. D-ID: COMPANY SNAPSHOT
TABLE 96. D-ID: PRODUCT SEGMENTS
TABLE 97. D-ID: PRODUCT PORTFOLIO
TABLE 98. D-ID: KEY STRATERGIES
TABLE 99. GENIE AI LTD.: KEY EXECUTIVES
TABLE 100. GENIE AI LTD.: COMPANY SNAPSHOT
TABLE 101. GENIE AI LTD.: PRODUCT SEGMENTS
TABLE 102. GENIE AI LTD.: PRODUCT PORTFOLIO
TABLE 103. GOOGLE LLC: KEY EXECUTIVES
TABLE 104. GOOGLE LLC: COMPANY SNAPSHOT
TABLE 105. GOOGLE LLC: SERVICE SEGMENTS
TABLE 106. GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 107. GOOGLE LLC: KEY STRATERGIES
TABLE 108. IBM CORPORATION: KEY EXECUTIVES
TABLE 109. IBM CORPORATION: COMPANY SNAPSHOT
TABLE 110. IBM CORPORATION: SERVICE SEGMENTS
TABLE 111. IBM CORPORATION: PRODUCT PORTFOLIO
TABLE 112. IBM CORPORATION: KEY STRATERGIES
TABLE 113. MICROSOFT CORPORATION: KEY EXECUTIVES
TABLE 114. MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 115. MICROSOFT CORPORATION: SERVICE SEGMENTS
TABLE 116. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 117. MICROSOFT CORPORATION: KEY STRATERGIES
TABLE 118. MOSTLY AI INC.: KEY EXECUTIVES
TABLE 119. MOSTLY AI INC.: COMPANY SNAPSHOT
TABLE 120. MOSTLY AI INC.: PRODUCT SEGMENTS
TABLE 121. MOSTLY AI INC.: PRODUCT PORTFOLIO
TABLE 122. MOSTLY AI INC.: KEY STRATERGIES
TABLE 123. REPHRASE.AI: KEY EXECUTIVES
TABLE 124. REPHRASE.AI: COMPANY SNAPSHOT
TABLE 125. REPHRASE.AI: PRODUCT SEGMENTS
TABLE 126. REPHRASE.AI: PRODUCT PORTFOLIO
TABLE 127. REPHRASE.AI: KEY STRATERGIES
TABLE 128. SYNTHESIA: KEY EXECUTIVES
TABLE 129. SYNTHESIA: COMPANY SNAPSHOT
TABLE 130. SYNTHESIA: PRODUCT SEGMENTS
TABLE 131. SYNTHESIA: PRODUCT PORTFOLIO
TABLE 132. SYNTHESIA: KEY STRATERGIES LIST OF FIGURES
FIGURE 01. GENERATIVE AI MARKET, 2021-2031
FIGURE 02. SEGMENTATION OF GENERATIVE AI MARKET, 2021-2031
FIGURE 03. TOP INVESTMENT POCKETS IN GENERATIVE AI MARKET (2022-2031)
FIGURE 04. LOW BARGAINING POWER OF SUPPLIERS
FIGURE 05. LOW BARGAINING POWER OF BUYERS
FIGURE 06. LOW THREAT OF SUBSTITUTES
FIGURE 07. LOW THREAT OF NEW ENTRANTS
FIGURE 08. LOW INTENSITY OF RIVALRY
FIGURE 09. DRIVERS, RESTRAINTS AND OPPORTUNITIES: GLOBALGENERATIVE AI MARKET
FIGURE 10. GENERATIVE AI MARKET, BY COMPONENT, 2021(%)
FIGURE 11. COMPARATIVE SHARE ANALYSIS OF GENERATIVE AI MARKET FOR SOFTWARE, BY COUNTRY 2021 AND 2031(%)
FIGURE 12. COMPARATIVE SHARE ANALYSIS OF GENERATIVE AI MARKET FOR SERVICES, BY COUNTRY 2021 AND 2031(%)
FIGURE 13. GENERATIVE AI MARKET, BY TECHNOLOGY, 2021(%)
FIGURE 14. COMPARATIVE SHARE ANALYSIS OF GENERATIVE AI MARKET FOR GENERATIVE ADVERSARIAL NETWORKS (GANS), BY COUNTRY 2021 AND 2031(%)
FIGURE 15. COMPARATIVE SHARE ANALYSIS OF GENERATIVE AI MARKET FOR TRANSFORMER, BY COUNTRY 2021 AND 2031(%)
FIGURE 16. COMPARATIVE SHARE ANALYSIS OF GENERATIVE AI MARKET FOR VARIATIONAL AUTOENCODER (VAE), BY COUNTRY 2021 AND 2031(%)
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF GENERATIVE AI MARKET FOR DIFFUSION NETWORKS, BY COUNTRY 2021 AND 2031(%)
FIGURE 18. GENERATIVE AI MARKET, BY END USER, 2021(%)
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF GENERATIVE AI MARKET FOR MEDIA AND ENTERTAINMENT, BY COUNTRY 2021 AND 2031(%)
FIGURE 20. COMPARATIVE SHARE ANALYSIS OF GENERATIVE AI MARKET FOR BFSI, BY COUNTRY 2021 AND 2031(%)
FIGURE 21. COMPARATIVE SHARE ANALYSIS OF GENERATIVE AI MARKET FOR IT AND TELECOM, BY COUNTRY 2021 AND 2031(%)
FIGURE 22. COMPARATIVE SHARE ANALYSIS OF GENERATIVE AI MARKET FOR HEALTHCARE, BY COUNTRY 2021 AND 2031(%)
FIGURE 23. COMPARATIVE SHARE ANALYSIS OF GENERATIVE AI MARKET FOR AUTOMOTIVE AND TRANSPORTATION, BY COUNTRY 2021 AND 2031(%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF GENERATIVE AI MARKET FOR OTHERS, BY COUNTRY 2021 AND 2031(%)
FIGURE 25. GENERATIVE AI MARKET BY REGION, 2021
FIGURE 26. U.S. GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 27. CANADA GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 28. UK GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 29. GERMANY GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 30. FRANCE GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 31. ITALY GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 32. SPAIN GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 33. REST OF EUROPE GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 34. CHINA GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 35. INDIA GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 36. JAPAN GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 37. AUSTRALIA GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 38. SOUTH KOREA GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 39. REST OF ASIA-PACIFIC GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 40. LATIN AMERICA GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 41. MIDDLE EAST GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 42. AFRICA GENERATIVE AI MARKET, 2021-2031 ($BILLION)
FIGURE 43. TOP WINNING STRATEGIES, BY YEAR
FIGURE 44. TOP WINNING STRATEGIES, BY DEVELOPMENT
FIGURE 45. TOP WINNING STRATEGIES, BY COMPANY
FIGURE 46. PRODUCT MAPPING OF TOP 10 PLAYERS
FIGURE 47. COMPETITIVE DASHBOARD
FIGURE 48. COMPETITIVE HEATMAP: GENERATIVE AI MARKET
FIGURE 49. TOP PLAYER POSITIONING, 2021
FIGURE 50. ADOBE: NET REVENUE, 2019-2021 ($MILLION)
FIGURE 51. ADOBE: RESEARCH & DEVELOPMENT EXPENDITURE, 2019-2021 ($MILLION)
FIGURE 52. ADOBE: REVENUE SHARE BY SEGMENT, 2021 (%)
FIGURE 53. ADOBE: REVENUE SHARE BY REGION, 2021 (%)
FIGURE 54. AMAZON WEB SERVICES, INC.: NET REVENUE, 2019-2021 ($MILLION)
FIGURE 55. AMAZON WEB SERVICES, INC.: REVENUE SHARE BY SEGMENT, 2021 (%)
FIGURE 56. AMAZON WEB SERVICES, INC.: REVENUE SHARE BY REGION, 2021 (%)
FIGURE 57. GOOGLE LLC: NET REVENUE, 2020-2022 ($MILLION)
FIGURE 58. GOOGLE LLC: REVENUE SHARE BY SEGMENT, 2022 (%)
FIGURE 59. GOOGLE LLC: REVENUE SHARE BY REGION, 2022 (%)
FIGURE 60. IBM CORPORATION: NET REVENUE, 2020-2022 ($MILLION)
FIGURE 61. IBM CORPORATION: RESEARCH & DEVELOPMENT EXPENDITURE, 2019-2021
FIGURE 62. IBM CORPORATION: REVENUE SHARE BY REGION, 2022 (%)
FIGURE 63. IBM CORPORATION: REVENUE SHARE BY SEGMENT, 2022 (%)
FIGURE 64. MICROSOFT CORPORATION: NET REVENUE, 2020-2022 ($MILLION)
FIGURE 65. MICROSOFT CORPORATION: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)
FIGURE 66. MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2022 (%)
FIGURE 67. MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2022 (%
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