Global Generative Artificial Intelligence (AI) Market Assessment, By Component [Software-On Premises, Cloud Based; Services-Managed Service, Professional Service], By Technology [Transformers, Diffusion Networks, Generative Adversarial Networks (GANs), Variational Auto-Encoders], By End-user [Banking, Financial Services and Insurance (BFSI), Educational, ICT and Telecommunications, Healthcare, Media and Entertainment, Automotive, and Transportation, Others], By Region, Opportunities and Forecast, 2016-2030F
Global Generative Artificial Intelligence (AI) Market size was valued at USD 6.93 billion in 2022 which is expected to reach USD 72.80 billion in 2030 with a CAGR of 35.94% for the forecast period between 2023 and 2030.
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Global Generative Artificial Intelligence (AI) Market size was valued at USD 6.93 billion in 2022 which is expected to reach USD 72.80 billion in 2030 with a CAGR of 35.94% for the forecast period between 2023 and 2030. Generative AI has several benefits, including increased understanding of abstract ideas, effective production of high-quality material, and enhanced identity protection. Because of this, generative AI is widely used in a variety of sectors, including information and technology (IT), robotics, entertainment, marketing, healthcare, education, banking, financial services, and insurance (BFSI). The availability of large data sets, increasing demand for deep learning, and expansion of the Internet of Things (IoT) are driving the market expansion.
Moreover, for spam identification, image compression, and processing data stages like eliminating noise from visual data to improve picture quality, generative AI uses unsupervised learning techniques. In addition, supervised learning algorithms are employed in image categorization and medical imaging. Owing to its various benefits, many companies are exploring their way into the market. For example, the release of ChatGPT generative AI by a startup named OpenAI has sparked competition among big tech giants such as Google and others to create technology that has the potential to revolutionize civilization.
The market is driven due to the integration of AI in autonomous vehicles as well. For example, Tesla is developing autonomous algorithms utilizing data from car sensors. Also, while communicating with potential clients, marketers are increasingly utilizing AI tactics, notably in the areas of data collecting and message targeting. Approximately 68% of B2B marketers adopt automation as part of their marketing strategy. Similarly, Netflix is a prime example of leveraging generative AI for personalized recommendations. The company's recommendation algorithm analyses user viewing patterns, ratings, and other data to generate personalized recommendations for each user, increasing user engagement and retention. However, the shortage of specialized labor and high implementation costs restrain the growth of this sector, and generative AI has security vulnerabilities that might lead to greater identity theft.
Rising Adoption Owing to its Advantage of Automation
One of the key benefits of generative AI is that it can automate processes like product design, content production, and data analysis that often require human input. Since Generative AI can produce content that appears to be identical to human-created output, many businesses are looking to simplify their processes and allocate more of their human resources to other projects. By integrating hyper-automation technologies such as generative AI, machine learning, and robotic process automation (RPA), etc., with improved operational procedures, organizations are expected to reduce operational expenses by 30%. Moreover, generative AI frequently outperforms humans in these activities, resulting in increased productivity and quality. According to the National Bureau of Economic Research, generative AI increases productivity by approximately 14%.
Integration of Generative AI by Big Firms
While the economic recession in the United States and Europe has clouded the prognosis for discretionary spending, the adoption of Generative AI provides room for many big companies to expand budgets with an aim to enhance productivity and provide more value to consumers. Technical budgets are expected to continue to grow as savings from generative AI adoption are reinvested in new programs.
In 2023, NVIDIA, a leading manufacturer of high-end graphics processing units (GPUs), declared to incorporate generative AI into every product, service, and business activity. Shift from general-purpose to accelerated computing will result due to the firm's trillion dollars of deployed global data center equipment. Similarly, Myntra, a fashion shopping site owned by the Flipkart group, has launched 'MyFashionGPT,' a search tool powered by ChatGPT. This latest invention enables consumers to convey their fashion demands, allowing them to select their preferences from over 2 million designs. Additionally, the company announced the debut of ‘MyStylist’, an AI-based stylist expert that gives users professional style suggestions and vernacular searches in 11 languages on its platform.
Government Initiatives and Regulations
Governments worldwide are actively supporting the generative AI market through a range of initiatives. Their efforts include providing funding and grants, establishing research and innovation centers, developing policies and regulations, promoting talent development and education, fostering industry collaboration and partnerships, and investing in AI infrastructure.
Ministry of Electronics and Information Technology (MeitY) launched Digital India Bhashini as an independent business division, which is based on Chat-GPT, which would assist students in learning scientific and technological topics in their own language.
Moreover, The European Union has proposed new copyright restrictions for generative AI. Companies adopting generative AI tools, such as ChatGPT, will be required to declare any copyrighted information utilized in the creation of their systems, as per an early EU agreement that pave the way for the world's first comprehensive legislation controlling the technology.
Healthcare Industry Contributing to Market Expansion
The generative AI market is primarily driven by the healthcare sector, and in the years to come, further expansion and innovation are expected to boost the market. Generative AI is expected to assist or enhance 40% of all healthcare labor hours. Medical imaging is utilizing generative AI to enhance illness diagnosis. These systems learn to recognize patterns and anomalies that are hard for human doctors to spot by examining massive datasets of radiographic films. Moreover, generative AI helps in building biological molecules, prosthetic limbs, and other things from scratch when used in conjunction with 3D printing, CRISPR, and other technologies. Moreover, it results in early cancer diagnosis and more efficient treatment regimens.
North America Making Significant Contributions
Owing to the presence of many market players and government support, North America has emerged as a dominant region in the adoption and development of generative AI. The United States, particularly the Silicon Valley area in California, has been at the forefront of generative AI research and development. Many leading technology companies and research institutions in the U.S., such as OpenAI, Google, Facebook, NVIDIA, and IBM have made substantial contributions to advancing generative AI technologies. In addition, the United States' National Science Foundation (NSF) announced the establishment of 11 new NSF National Artificial Intelligence Research Institutes and announced an additional USD 140 million investment for the setup which broadens the scope of these institute to cover 40 states and the District of Columbia.
Impact of COVID-19
Due to the COVID-19 pandemic, there have been several effects on the global market for generative AI. Several companies have been pressured to reduce expenses, and purchases of generative AI technology have either been postponed or abandoned. However, the need for generative AI solutions has increased significantly in several industries. For instance, the need for AI-powered medical diagnosis and treatment solutions has surged in the healthcare sector. The virus outbreak has also boosted the need for remote work solutions, which has raised the need for chatbots and virtual assistants, thereby boosting the global generative AI market.
Report Scope:
Global Generative Artificial Intelligence (AI) Market Assessment, Opportunities, and Forecast, 2016-2030F”, is a comprehensive report by Markets and Data, providing in-depth analysis and qualitative & quantitative assessment of the current state of the Generative Artificial Intelligence (AI) market globally, industry dynamics and challenges. The report includes market size, segmental shares, growth trends, COVID-19, opportunities, and forecast between 2023 and 2030. Additionally, the report profiles the leading players in the industry mentioning their respective market share, business model, competitive intelligence, etc.
|
Report Attribute |
Details |
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Base Year of the Analysis |
2022 |
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Historical Period |
2016-2021 |
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Forecast Period |
2023-2030 |
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Projected Growth Rate |
CAGR of 35.94% between 2023 and 2030 |
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Revenue Forecast in 2030 |
USD 72.80 billion |
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Units |
Revenue in USD Billion |
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Segments Covered |
Components, Technology, and End-user |
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Regions Covered |
North America, Europe, South America, Asia-Pacific, Middle East, and Africa |
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Key Companies Profiled |
Google LLC (Google AI), Synthesia Ltd., Amazon Web Services, Inc., Cohere Technologies, Inc., NVIDIA Corporation, Microsoft Corporation (OpenAI), MOSTLY AI Inc., Genie AI Ltd., Rephrase Technologies Private Limited, Colossyan Inc. |
|
Customization Scope |
15% free report customization with purchase |
|
Pricing and Purchase Options |
Avail the customized purchase options to fulfill your precise research needs |
|
Delivery Format |
PDF and Excel through email (subject to the license purchased) |
In this report, Global Generative Artificial Intelligence (AI) Market has been segmented into the following categories:
1. By Component
1.1. Software
1.1.1.On Premises
1.1.2.Cloud Based
1.2. Services
1.2.1.Managed Service
1.2.2.Professional Service
2. By Technology
2.1. Transformers
2.2. Diffusion Networks
2.3. Generative Adversarial Networks (GANs)
2.4. Variational Auto-Encoders
3. By End-user
3.1. Banking, Financial Services, and Insurance (BFSI)
3.2. Educational
3.3. ICT and Telecommunications
3.4. Healthcare
3.5. Media and Entertainment
3.6. Automotive and Transportation
3.7. Others
4. By Region
4.1. North America
4.2. Asia-Pacific
4.3. Europe
4.4. South America
4.5. Middle East & Africa
Key Players Landscape and Outlook
Solutions for a wide range of applications, including text-to-image, image-to-image, and super-resolution, are provided by several market participants in generative AI. Market players are engaged in active acquisitions and mergers with the motive to dominate the industry. Apart from this, companies are integrating AI in pre-existing software. For instance, Microsoft Corp., a software firm based in the United States, announced Microsoft 365 Copilot, an AI assistant feature for Microsoft 365 services and apps, in March 2023. Businesses may benefit from Microsoft 365 Copilot by saving time, simplifying and automating IT operations, and improving productivity.
Key Players Operating in Global Generative Artificial Intelligence (AI) Market
- Google LLC (Google AI)
- Synthesia Ltd.
- Amazon Web Services, Inc.
- Cohere Technologies, Inc.
- NVIDIA Corporation
- Microsoft Corporation
- MOSTLY AI Inc.
- Genie AI Ltd.
- Rephrase Technologies Private Limited
- Colossyan Inc.
If you can't find what you're searching for or have any custom requirements for Global Generative Artificial Intelligence (AI) Market, you may approach our team at info@marketsandata.com
Table of Contents
1. Research Methodology
2. Project Scope & Definitions
3. Impact of COVID-19
4. Executive Summary
5. Voice of Customer
5.1. Market Intelligence
5.2. Factors Considered in the Adoption of Generative Artificial Intelligence (AI)
5.2.1.Pricing
5.2.2.User License Requirements
5.2.3.Purpose of Use
5.2.4.Security Concerns and Data Privacy
5.2.5.Specifications and Features
5.2.6.Supportive System Requirements
5.2.7.Customer Relationship Management
5.2.8.Key Player Reviews
5.3. Frequency of Use
5.4. Pain Points of the User
6. Global Generative Artificial Intelligence (AI) Market Outlook, 2016-2030F
6.1. Market Size & Forecast
6.1.1.By Value
6.2. By Component
6.2.1.Software
6.2.1.1. On Premises
6.2.1.2. Cloud Based
6.2.2.Services
6.2.2.1. Managed Service
6.2.2.2. Professional Service
6.3. By Technology
6.3.1.Transformers
6.3.2.Diffusion Networks
6.3.3.Generative Adversarial Networks (GANs)
6.3.4.Variational Auto-Encoders
6.4. By End-user
6.4.1. Banking, Financial Services and Insurance (BFSI)
6.4.2.Educational
6.4.3.ICT and Telecommunications
6.4.4.Healthcare
6.4.5. Media and Entertainment
6.4.6. Automotive and Transportation
6.4.7.Others
6.5. By Region
6.5.1.North America
6.5.2.Europe
6.5.3.South America
6.5.4.Asia-Pacific
6.5.5.Middle East and Africa
6.6. By Company Market Share (%), 2022
7. Global Generative Artificial Intelligence (AI) Market Outlook, By Region, 2016-2030F
7.1. North America*
7.1.1.By Component
7.1.1.1. Software
7.1.1.1.1. On Premises
7.1.1.1.2. Cloud Based
7.1.1.2. Services
7.1.1.2.1. Managed Service
7.1.1.2.2. Professional Service
7.1.2.By Technology
7.1.2.1. Transformers
7.1.2.2. Diffusion Networks
7.1.2.3. Generative Adversarial Networks (GANs)
7.1.2.4. Variational Auto-Encoders
7.1.3.By End-user
7.1.3.1. Banking, Financial Services and Insurance (BFSI)
7.1.3.2. Educational
7.1.3.3. ICT and Telecommunications
7.1.3.4. Healthcare
7.1.3.5. Media and Entertainment
7.1.3.6. Automotive and Transportation
7.1.3.7. Others
7.1.4.United States*
7.1.4.1. By Component
7.1.4.1.1. Software
7.1.4.1.1.1. On Premises
7.1.4.1.1.2. Cloud Based
7.1.4.1.2. Services
7.1.4.1.2.1. Managed Service
7.1.4.1.2.2. Professional Service
7.1.4.2. By Technology
7.1.4.2.1. Transformers
7.1.4.2.2. Diffusion Networks
7.1.4.2.3. Generative Adversarial Networks (GANs)
7.1.4.2.4. Variational Auto-Encoders
7.1.4.3. By End-user
7.1.4.3.1. Banking, Financial Services and Insurance (BFSI)
7.1.4.3.2. Educational
7.1.4.3.3. ICT and Telecommunications
7.1.4.3.4. Healthcare
7.1.4.3.5. Media and Entertainment
7.1.4.3.6. Automotive and Transportation
7.1.4.3.7. Others
7.1.5.Canada
7.1.6.Mexico
*All segments will be provided for all regions and countries covered
7.2. Europe
7.2.1.Germany
7.2.2.France
7.2.3.Italy
7.2.4.United Kingdom
7.2.5.Russia
7.2.6.Netherlands
7.2.7.Spain
7.2.8.Turkey
7.2.9.Poland
7.3. South America
7.3.1.Brazil
7.3.2.Argentina
7.4. Asia-Pacific
7.4.1.India
7.4.2.China
7.4.3.Japan
7.4.4.Australia
7.4.5.Vietnam
7.4.6.South Korea
7.4.7.Indonesia
7.4.8.Philippines
7.5. Middle East & Africa
7.5.1.Saudi Arabia
7.5.2.UAE
7.5.3.South Africa
8. Market Mapping, 2022
8.1. By Component
8.2. By Technology
8.3. By End-user
8.4. By Region
9. Macro Environment and Industry Structure
9.1. Supply Demand Analysis
9.2. Import Export Analysis
9.3. Supply/Value Chain Analysis
9.4. PESTEL Analysis
9.4.1.Political Factors
9.4.2.Economic System
9.4.3.Social Implications
9.4.4.Technological Advancements
9.4.5.Environmental Impacts
9.4.6.Legal Compliances and Regulatory Policies (Statutory Bodies Included)
9.5. Porter’s Five Forces Analysis
9.5.1.Supplier Power
9.5.2.Buyer Power
9.5.3.Substitution Threat
9.5.4.Threat from New Entrant
9.5.5.Competitive Rivalry
10. Market Dynamics
10.1. Growth Drivers
10.2. Growth Inhibitors (Challenges, Restraints)
11. Key Players Landscape
11.1. Competition Matrix of Top Five Market Leaders
11.2. Market Revenue Analysis of Top Five Market Leaders (in %, 2022)
11.3. Mergers and Acquisitions/Joint Ventures (If Applicable)
11.4. SWOT Analysis (For Five Market Players)
11.5. Patent Analysis (If Applicable)
12. Pricing Analysis
13. Case Studies
14. Key Players Outlook
14.1. Google LLC (Google AI)
14.1.1. Company Details
14.1.2. Key Management Personnel
14.1.3. Products & Services
14.1.4. Financials (As reported)
14.1.5. Key Market Focus & Geographical Presence
14.1.6. Recent Developments
14.2. Synthesia Ltd.
14.3. Amazon Web Services, Inc.
14.4. Cohere Technologies, Inc.
14.5. NVIDIA Corporation
14.6. Microsoft Corporation
14.7. MOSTLY AI Inc.
14.8. Genie AI Ltd.
14.9. Rephrase Technologies Private Limited
14.10. Colossyan Inc.
*Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work
15. Strategic Recommendations
16. About Us & Disclaimer
LIST OF FIGURES:
Figure 1. Global Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 2. Global Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 3. Global Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 4. Global Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 5. Global Generative Artificial Intelligence (AI) Market Share, By Region, in USD Billion, 2016-2030F
Figure 6. North America Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 7. North America Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 8. North America Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 9. North America Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 10. North America Generative Artificial Intelligence (AI) Market Share, By Country, in USD Billion, 2016-2030F
Figure 11. United States Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 12. United States Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 13. United States Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 14. United States Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 15. Canada Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 16. Canada Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 17. Canada Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 18. Canada Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 19. Mexico Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 20. Mexico Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 21. Mexico Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 22. Mexico Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 23. Europe Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 24. Europe Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 25. Europe Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 26. Europe Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 27. Europe Generative Artificial Intelligence (AI) Market Share, By Country, in USD Billion, 2016-2030F
Figure 28. Germany Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 29. Germany Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 30. Germany Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 31. Germany Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 32. France Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 33. France Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 34. France Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 35. France Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 36. Italy Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 37. Italy Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 38. Italy Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 39. Italy Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 40. United Kingdom Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 41. United Kingdom Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 42. United Kingdom Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 43. United Kingdom Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 44. Russia Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 45. Russia Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 46. Russia Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 47. Russia Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 48. Netherlands Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 49. Netherlands Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 50. Netherlands Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 51. Netherlands Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 52. Spain Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 53. Spain Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 54. Spain Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 55. Spain Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 56. Turkey Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 57. Turkey Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 58. Turkey Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 59. Turkey Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 60. Poland Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 61. Poland Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 62. Poland Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 63. Poland Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 64. South America Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 65. South America Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 66. South America Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 67. South America Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 68. South America Generative Artificial Intelligence (AI) Market Share, By Country, in USD Billion, 2016-2030F
Figure 69. Brazil Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 70. Brazil Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 71. Brazil Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 72. Brazil Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 73. Argentina Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 74. Argentina Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 75. Argentina Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 76. Argentina Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 77. Asia-Pacific Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 78. Asia-Pacific Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 79. Asia-Pacific Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 80. Asia-Pacific Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 81. Asia-Pacific Generative Artificial Intelligence (AI) Market Share, By Country, in USD Billion, 2016-2030F
Figure 82. India Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 83. India Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 84. India Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 85. India Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 86. China Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 87. China Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 88. China Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 89. China Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 90. Japan Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 91. Japan Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 92. Japan Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 93. Japan Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 94. Australia Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 95. Australia Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 96. Australia Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 97. Australia Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 98. Vietnam Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 99. Vietnam Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 100. Vietnam Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 101. Vietnam Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 102. South Korea Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 103. South Korea Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 104. South Korea Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 105. South Korea Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 106. Indonesia Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 107. Indonesia Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 108. Indonesia Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 109. Philippines Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 110. Philippines Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 111. Philippines Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 112. Philippines Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 113. Middle East & Africa Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 114. Middle East & Africa Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 115. Middle East & Africa Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 116. Middle East & Africa Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 117. Middle East & Africa Generative Artificial Intelligence (AI) Market Share, By Country, in USD Billion, 2016-2030F
Figure 118. Saudi Arabia Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 119. Saudi Arabia Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 120. Saudi Arabia Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 121. Saudi Arabia Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 122. UAE Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 123. UAE Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 124. UAE Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 125. UAE Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 126. South Africa Generative Artificial Intelligence (AI) Market, By Value, in USD Billion, 2016-2030F
Figure 127. South Africa Generative Artificial Intelligence (AI) Market Share, By Component, in USD Billion, 2016-2030F
Figure 128. South Africa Generative Artificial Intelligence (AI) Market Share, By Technology, in USD Billion, 2016-2030F
Figure 129. South Africa Generative Artificial Intelligence (AI) Market Share, By End-user, in USD Billion, 2016-2030F
Figure 130. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2022
Figure 131. By Technology Map-Market Size (USD Billion) & Growth Rate (%), 2022
Figure 132. By End-user Map-Market Size (USD Billion) & Growth Rate (%), 2022
Figure 133. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2022
LIST OF TABLES:
Table 1. Pricing Analysis of Components from Key Players
Table 2. Competition Matrix of Top 5 Market Leaders
Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
Table 4. About Us - Region and Countries Where We Have Executed Client Projects
Frequently Asked Questions
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