Generative AI Market
- January, 2024
- Technology, Media, and Telecommunications (TMT)
Generative AI Market By Offering (Software, Services (Subscription-based Services, One-time Payment Services, Value-based Pricing Services), By Deployment (On-Premises, Cloud-based), By Modality (Text, Code, Image, Audio, Video), By Technology (Generative Adversarial Networks (GANs), Autoencoders and Variational Autoencoders), By Vertical (Media & Entertainment, Finance, Banking & Insurance (BFSI), Information Technology & Telecommunications (IT & Telecom), Healthcare, Automotive & Transportation, Real Estate) and Region; Growth Trends and Forecasts (2024 - 2030)
As per Intent Market Research, the global generative AI market is expected to be valued at USD 13.5 billion in 2023-e and is projected to reach USD 181.9 billion by 2030, exhibiting a CAGR of 32.5% from 2024 to 2030. The surge in demand for integrating generative AI associated with every industry is driving the growth of the market.
Generative AI enables users to quickly generate new content based on a variety of inputs. Inputs to these models can include text, images, sounds, animation, 3D models, or other types of data. Generative AI models use neural networks to identify the patterns and structures within existing data to generate new and original content. One of the breakthroughs with generative AI models is the ability to leverage different learning approaches, including unsupervised or semi-supervised learning for training. This has given organizations the ability to more easily and quickly leverage a large amount of unlabeled data to create foundation models. As the name suggests, foundation models can be used as a base for AI systems that can perform multiple tasks.
Generative AI Market Dynamics
Rising Adoption of Generative AI is Fostering the Market Growth
Artificial intelligence continues to exert a transformative influence on several industries, with widespread adoption for applications such as fraud detection and process automation. Nevertheless, the focus has shifted to generative AI, driven by advancements in natural language processing and the creation of large language models. In just over a year, the growth of generative AI has been remarkable, swiftly moving beyond a consumer phenomenon to gain traction within the enterprise arena.
Additionally, the market is expected to grow rapidly over the forecast period due to the increasing use of generative AI in healthcare, defense, gaming, information technology (IT), and agriculture industries. However, the lack of knowledge and skill can hinder the growth of the generative AI market.
Generative AI Market Segment Insights
Software Integrating Generative AI is Fostering Market Growth
Generative AI is being integrated into software to provide the best solution for complex problems and improve the user experience. Software efficiency can be significantly enhanced with the use of generative AI algorithms. These algorithms can analyze large amounts of data and generate accurate predictions or solutions. By leveraging generative AI, the software can automate tasks, reduce human error, and streamline processes, ultimately leading to improved productivity and overall user satisfaction.
Increasing Collaboration and Acquisition to Provide Cloud-Based Service is Driving the Growth of Generative AI Market
The rapid growth of cloud based service segment is mainly attributed to high investment in cloud-based services than on-premises solutions. Most of the companies are involved in providing generative AI solutions via cloud-based services. The benefit of cloud-based services includes the ability to access and utilize AI capabilities without the need for extensive hardware or software investments. This allows companies to save costs and resources while still benefiting from advanced AI technologies. Additionally, cloud-based services offer scalability, allowing businesses to easily adjust their AI capabilities based on their needs and growth.
Leading IT Companies are Using Generative AI to Generate Code for the Programmer Which is boosting Market Growth
Based on modality, the code segment is expected to grow at the highest CAGR during the forecast period. The big giants and leading companies are working on generative AI, which can provide and solve code for the programmer without the need for manual coding. This technology has the potential to revolutionize the way software is developed and significantly speed up the coding process. By leveraging machine learning algorithms, generative AI can analyze vast amounts of code and generate accurate solutions, reducing human effort and increasing productivity in the programming industry.
Regional Insights
Integration of Generative AI Across Various Sectors in North America is Driving the Demand for this Advanced Technology
Developed nations such as the US and Canada are the biggest contributors to the global generative AI market, with a significant share in terms of revenue. In North America, generative AI is integrated into every industry from healthcare to finance, BFSI, automotive, real estate, IT & Telcom to name a few, generative AI has revolutionized processes and enhanced decision-making capabilities. Its applications range from drug discovery and personalized medicine to fraud detection and risk assessment. The widespread adoption of generative AI in North America highlights its immense potential for driving innovation and transforming various sectors.
Competitive Landscape
Mergers and acquisitions are Key Growth Strategies Adopted By Major Player Operating in the Market
The market is highly competitive, with several major global competitors accounting for a large share of the industry. The emphasis is on new product development and collaboration between key companies. For example, in April 2023, US technology company Microsoft Corp. collaborated with US healthcare software company Epic Systems to integrate large-scale language models and AI tools into Epic’s electronic health records software. The partnership aims to use generative AI to help healthcare providers increase productivity while reducing administrative burden.
Some of the companies operating in this market include Adobe, Advanced Micro Device, Amazon Web Services, Anthropic, Baidu, Cisco Systems, D-ID, Genie AI, Google, IBM, Inflection AI, Insilico Medicine, Jasper AI, Meta, Micron Technology, Microsoft, MOSTLY AI, NVIDIA, OpenAI, Salesforce, SAP, Simplified, SoundHound AI, Synthesia, Unity Technologies.
Generative AI Market Coverage
The report provides key insights into the generative AI market, and it focuses on technological developments, trends, and initiatives taken by the government. In this sector, the analysis delves into market drivers, restraints, opportunities, and other pertinent factors. The report also scrutinizes key players and the competitive landscape in the generative AI market.
Report Scope
Report Features | Description |
Market Value (2023-e) | USD 13.5 billion |
Forecast Revenue (2030) | USD 181.9 billion |
CAGR (2024-2030) | 32.5% |
Base Year for Estimation | 2023-e |
Historic Year | 2022 |
Forecast Period | 2024-2030 |
Report Coverage | Revenue Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
Segments Covered | By Offering (Software, Services (Subscription-based Services, One-time Payment Services, Value-based Pricing Services), By Deployment (On-Premises, Cloud-based), By Modality (Text, Code, Image, Audio, Video, Others), By Technology (GANs (Generative Adversarial Networks), Autoencoders and Variational Autoencoders, Others), By Vertical (Media & Entertainment, Finance, Banking & Insurance (BFSI), Information Technology & Telecommunications (IT & Telecom), Healthcare, Automotive & Transportation, Real Estate, Others) |
Regional Analysis | North America (US, Canada), Europe (Germany, France, UK, Italy ), Asia-Pacific (China, Japan, South Korea, India), Latin America (Brazil, Mexico, Argentina), Middle East and Africa (Saudi Arabia, South Africa, United Arab Emirates) |
Competitive Landscape | Adobe, Advanced Micro Device, Amazon Web Services, Anthropic, Baidu, Cisco Systems, D-ID, Genie AI, Google, IBM, Inflection AI, Insilico Medicine, Jasper AI, Meta, Micron Technology, Microsoft, MOSTLY AI, NVIDIA, OpenAI, Salesforce, SAP SE, Simplified, SoundHound AI, Synthesia, Unity Technologies |
Customization Scope | Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements. |
Purchase Options | We have three licenses to opt for Single User License, Multi-User License (Up to 5 Users), Corporate Use License (Unlimited User and Printable PDF) |
1. Introduction |
1.1 Study Assumptions and Generative AI Market Definition |
1.2 Scope of the Study |
2. Research Methodology |
3. Executive Summary |
4. Generative AI Market Dynamics |
4.1 Market Growth Drivers |
4.2 Market Growth Challenges |
5. Generative AI Market Outlook |
5.1 Regulatory Framework |
5.2 Patent Analysis |
5.3 Pricing Analysis |
5.4 PORTER’s Five Forces Analysis |
5.5 Case Study |
5.6 Technological Advances and Future Opportunity Analysis |
5.7 Value Chain Analysis |
6. Global Generative AI Market Segmentation (Market Size and Forecast by Value – USD billion, 2022 – 2030) |
6.1 Offering |
6.1.1 Software |
6.1.2 Services |
6.1.2.1 Subscription-Based Services |
6.1.2.2 One-Time Payment Services |
6.1.2.3 Value-Based Pricing Services |
6.2 Deployment |
6.2.1 On-Premises |
6.2.2 Cloud-Based |
6.3 Modality |
6.3.1 Text |
6.3.2 Code |
6.3.3 Image |
6.3.4 Audio |
6.3.5 Video |
6.3.6 Others |
6.4 Technology |
6.4.1 GANs (Generative Adversarial Networks) |
6.4.2 Autoencoders and Variational Autoencoders |
6.4.3 Others |
6.5 Vertical |
6.5.1 Media & Entertainment |
6.5.1.1 Content Creation |
6.5.1.2 Marketing & Advertising |
6.5.1.3 Gaming & VR |
6.5.2 Finance, Banking & Insurance (BFSI) |
6.5.2.1 Fraud Detection & Risk Management |
6.5.2.2 Personalized Finance, Customer Service & Marketing |
6.5.3 Information Technology & Telecommunications (IT & Telecom) |
6.5.3.1 Software Development |
6.5.3.2 Network Optimization & Security |
6.5.3.3 Customer Support & Engagement |
6.5.4 Healthcare |
6.5.4.1 Medical Image Analysis & Diagnosis |
6.5.4.2 Drug Discovery & Development |
6.5.4.3 Medical Research & Education |
6.5.5 Automotive & Transportation |
6.5.5.1 Self-Driving Car Development |
6.5.5.2 Traffic Management & Optimization |
6.5.5.3 Vehicle Design & Manufacturing |
6.5.6 Real Estate |
6.5.6.1 Architectural Design and Planning |
6.5.6.2 Property Valuation and Investment |
6.5.6.3 Virtual Property Tours and Visualization |
6.5.6.4 Space Planning and Interior Design |
6.5.6.5 Property Management and Maintenance |
6.5.7 Others |
6.6 Region |
6.6.1 North America |
6.6.2 Europe |
6.6.3 Asia-Pacific |
6.6.4 Latin America |
6.6.5 Middle East and Africa |
7. North America Generative AI Market Segmentation (Market Size and Forecast by Value – USD billion, 2022 – 2030) |
7.1 Offering |
7.1.1 Software |
7.1.2 Services |
7.1.2.1 Subscription-Based Services |
7.1.2.2 One-Time Payment Services |
7.1.2.3 Value-Based Pricing Services |
7.2 Deployment |
7.2.1 On-Premises |
7.2.2 Cloud-Based |
7.3 Modality |
7.3.1 Text |
7.3.2 Code |
7.3.3 Image |
7.3.4 Audio |
7.3.5 Video |
7.3.6 Others |
7.4 Technology |
7.4.1 GANs (Generative Adversarial Networks) |
7.4.2 Autoencoders and Variational Autoencoders |
7.4.3 Others |
7.5 Vertical |
7.5.1 Media & Entertainment |
7.5.1.1 Content Creation |
7.5.1.2 Marketing & Advertising |
7.5.1.3 Gaming & VR |
7.5.2 Finance, Banking & Insurance (BFSI) |
7.5.2.1 Fraud Detection & Risk Management |
7.5.2.2 Personalized Finance, Customer Service & Marketing |
7.5.3 Information Technology & Telecommunications (IT & Telecom) |
7.5.3.1 Software Development |
7.5.3.2 Network Optimization & Security |
7.5.3.3 Customer Support & Engagement |
7.5.4 Healthcare |
7.5.4.1 Medical Image Analysis & Diagnosis |
7.5.4.2 Drug Discovery & Development |
7.5.4.3 Medical Research & Education |
7.5.5 Automotive & Transportation |
7.5.5.1 Self-Driving Car Development |
7.5.5.2 Traffic Management & Optimization |
7.5.5.3 Vehicle Design & Manufacturing |
7.5.7 Real Estate |
7.5.7.1 Architectural Design and Planning |
7.5.7.2 Property Valuation and Investment |
7.5.7.3 Virtual Property Tours and Visualization |
7.5.7.4 Space Planning and Interior Design |
7.5.7.5 Property Management and Maintenance |
7.5.7 Others |
7.6 Country |
7.6.1 United States |
7.6.1.1 Offering |
7.6.1.1.1 Software |
7.6.1.1.2 Services |
7.6.1.1.2.1 Subscription-Based Services |
7.6.1.1.2.2 One-Time Payment Services |
7.6.1.1.2.3 Value-Based Pricing Services |
7.6.1.2 Deployment |
7.6.1.2.1 On-Premises |
7.6.1.2.2 Cloud-Based |
7.6.2 Canada |
7.6.2.1 Offering |
7.6.2.1.1 Software |
7.6.2.1.2 Services |
7.6.2.1.2.1 Subscription-Based Services |
7.6.2.1.2.2 One-Time Payment Services |
7.6.2.1.2.3 Value-Based Pricing Services |
7.6.2.2 Deployment |
7.6.2.2.1 On-Premises |
7.6.2.2.2 Cloud-Based |
8. Europe Market Generative AI Segmentation (Market Size and Forecast by Value – USD billion, 2022 – 2030) |
8.1 Offering |
8.1.1 Software |
8.1.2 Services |
8.1.2.1 Subscription-Based Services |
8.1.2.2 One-Time Payment Services |
8.1.2.3 Value-Based Pricing Services |
8.2 Deployment |
8.2.1 On-Premises |
8.2.2 Cloud-Based |
8.3 Modality |
8.3.1 Text |
8.3.2 Code |
8.3.3 Image |
8.3.4 Audio |
8.3.5 Video |
8.3.6 Others |
8.4 Technology |
8.4.1 GANs (Generative Adversarial Networks) |
8.4.2 Autoencoders and Variational Autoencoders |
8.4.3 Others |
8.5 Vertical |
8.5.1 Media & Entertainment |
8.5.1.1 Content Creation |
8.5.1.2 Marketing & Advertising |
8.5.1.3 Gaming & VR |
8.5.2 Finance, Banking & Insurance (BFSI) |
8.5.2.1 Fraud Detection & Risk Management |
8.5.2.2 Personalized Finance, Customer Service & Marketing |
8.5.3 Information Technology & Telecommunications (IT & Telecom) |
8.5.3.1 Software Development |
8.5.3.2 Network Optimization & Security |
8.5.3.3 Customer Support & Engagement |
8.5.4 Healthcare |
8.5.4.1 Medical Image Analysis & Diagnosis |
8.5.4.2 Drug Discovery & Development |
8.5.4.3 Medical Research & Education |
8.5.5 Automotive & Transportation |
8.5.5.1 Self-Driving Car Development |
8.5.5.2 Traffic Management & Optimization |
8.5.5.3 Vehicle Design & Manufacturing |
8.5.8 Real Estate |
8.5.8.1 Architectural Design and Planning |
8.5.8.2 Property Valuation and Investment |
8.5.8.3 Virtual Property Tours and Visualization |
8.5.8.4 Space Planning and Interior Design |
8.5.8.5 Property Management and Maintenance |
8.5.8 Others |
8.6 Country |
8.6.1 United Kingdom |
8.6.1.1 Offering |
8.6.1.1.1 Software |
8.6.1.1.2 Services |
8.6.1.1.2.1 Subscription-Based Services |
8.6.1.1.2.2 One-Time Payment Services |
8.6.1.1.2.3 Value-Based Pricing Services |
8.6.1.2 Deployment |
8.6.1.2.1 On-Premises |
8.6.1.2.2 Cloud-Based |
8.6.2 Germany |
8.6.2.1 Offering |
8.6.2.1.1 Software |
8.6.2.1.2 Services |
8.6.2.1.2.1 Subscription-Based Services |
8.6.2.1.2.2 One-Time Payment Services |
8.6.2.1.2.3 Value-Based Pricing Services |
8.6.2.2 Deployment |
8.6.2.2.1 On-Premises |
8.6.2.2.2 Cloud-Based |
8.6.3 France |
8.6.3.1 Offering |
8.6.3.1.1 Software |
8.6.3.1.2 Services |
8.6.3.1.2.1 Subscription-Based Services |
8.6.3.1.2.2 One-Time Payment Services |
8.6.3.1.2.3 Value-Based Pricing Services |
8.6.3.2 Deployment |
8.6.3.2.1 On-Premises |
8.6.3.2.2 Cloud-Based |
8.6.4 Italy |
8.6.4.1 Offering |
8.6.4.1.1 Software |
8.6.4.1.2 Services |
8.6.4.1.2.1 Subscription-Based Services |
8.6.4.1.2.2 One-Time Payment Services |
8.6.4.1.2.3 Value-Based Pricing Services |
8.6.4.2 Deployment |
8.6.4.2.1 On-Premises |
8.6.4.2.2 Cloud-Based |
8.6.5 Rest of Europe |
8.6.5.1 Offering |
8.6.5.1.1 Software |
8.6.5.1.2 Services |
8.6.5.1.2.1 Subscription-Based Services |
8.6.5.1.2.2 One-Time Payment Services |
8.6.5.1.2.3 Value-Based Pricing Services |
8.6.5.2 Deployment |
8.6.5.2.1 On-Premises |
8.6.5.2.2 Cloud-Based |
9. Asia-Pacific Generative AI Market Segmentation (Market Size and Forecast by Value – USD billion, 2022 – 2030) |
9.1 Offering |
9.1.1 Software |
9.1.2 Services |
9.1.2.1 Subscription-Based Services |
9.1.2.2 One-Time Payment Services |
9.1.2.3 Value-Based Pricing Services |
9.2 Deployment |
9.2.1 On-Premises |
9.2.2 Cloud-Based |
9.3 Modality |
9.3.1 Text |
9.3.2 Code |
9.3.3 Image |
9.3.4 Audio |
9.3.5 Video |
9.3.6 Others |
9.4 Technology |
9.4.1 GANs (Generative Adversarial Networks) |
9.4.2 Autoencoders and Variational Autoencoders |
9.4.3 Others |
9.5 Vertical |
9.5.1 Media & Entertainment |
9.5.1.1 Content Creation |
9.5.1.2 Marketing & Advertising |
9.5.1.3 Gaming & VR |
9.5.2 Finance, Banking & Insurance (BFSI) |
9.5.2.1 Fraud Detection & Risk Management |
9.5.2.2 Personalized Finance, Customer Service & Marketing |
9.5.3 Information Technology & Telecommunications (IT & Telecom) |
9.5.3.1 Software Development |
9.5.3.2 Network Optimization & Security |
9.5.3.3 Customer Support & Engagement |
9.5.4 Healthcare |
9.5.4.1 Medical Image Analysis & Diagnosis |
9.5.4.2 Drug Discovery & Development |
9.5.4.3 Medical Research & Education |
9.5.5 Automotive & Transportation |
9.5.5.1 Self-Driving Car Development |
9.5.5.2 Traffic Management & Optimization |
9.5.5.3 Vehicle Design & Manufacturing |
9.5.9 Real Estate |
9.5.9.1 Architectural Design and Planning |
9.5.9.2 Property Valuation and Investment |
9.5.9.3 Virtual Property Tours and Visualization |
9.5.9.4 Space Planning and Interior Design |
9.5.9.5 Property Management and Maintenance |
9.5.9 Others |
9.6 Country |
9.6.1 China |
9.6.1.1 Offering |
9.6.1.1.1 Software |
9.6.1.1.2 Services |
9.6.1.1.2.1 Subscription-Based Services |
9.6.1.1.2.2 One-Time Payment Services |
9.6.1.1.2.3 Value-Based Pricing Services |
9.6.1.2 Deployment |
9.6.1.2.1 On-Premises |
9.6.1.2.2 Cloud-Based |
9.6.2 Japan |
9.6.2.1 Offering |
9.6.2.1.1 Software |
9.6.2.1.2 Services |
9.6.2.1.2.1 Subscription-Based Services |
9.6.2.1.2.2 One-Time Payment Services |
9.6.2.1.2.3 Value-Based Pricing Services |
9.6.2.2 Deployment |
9.6.2.2.1 On-Premises |
9.6.2.2.2 Cloud-Based |
9.6.3 India |
9.6.3.1 Offering |
9.6.3.1.1 Software |
9.6.3.1.2 Services |
9.6.3.1.2.1 Subscription-Based Services |
9.6.3.1.2.2 One-Time Payment Services |
9.6.3.1.2.3 Value-Based Pricing Services |
9.6.3.2 Deployment |
9.6.3.2.1 On-Premises |
9.6.3.2.2 Cloud-Based |
9.6.4 South Korea |
9.6.4.1 Offering |
9.6.4.1.1 Software |
9.6.4.1.2 Services |
9.6.4.1.2.1 Subscription-Based Services |
9.6.4.1.2.2 One-Time Payment Services |
9.6.4.1.2.3 Value-Based Pricing Services |
9.6.4.2 Deployment |
9.6.4.2.1 On-Premises |
9.6.4.2.2 Cloud-Based |
9.6.5 Rest of Asia-Pacific |
9.6.5.1 Offering |
9.6.5.1.1 Software |
9.6.5.1.2 Services |
9.6.5.1.2.1 Subscription-Based Services |
9.6.5.1.2.2 One-Time Payment Services |
9.6.5.1.2.3 Value-Based Pricing Services |
9.6.5.2 Deployment |
9.6.5.2.1 On-Premises |
9.6.5.2.2 Cloud-Based |
10. Latin America Generative AI Market Segmentation (Market Size and Forecast by Value – USD billion, 2022 – 2030) |
10.1 Offering |
10.1.1 Software |
10.1.2 Services |
10.1.2.1 Subscription-Based Services |
10.1.2.2 One-Time Payment Services |
10.1.2.3 Value-Based Pricing Services |
10.2 Deployment |
10.2.1 On-Premises |
10.2.2 Cloud-Based |
10.3 Modality |
10.3.1 Text |
10.3.2 Code |
10.3.3 Image |
10.3.4 Audio |
10.3.5 Video |
10.3.6 Others |
10.4 Technology |
10.4.1 GANs (Generative Adversarial Networks) |
10.4.2 Autoencoders and Variational Autoencoders |
10.4.3 Others |
10.5 Vertical |
10.5.1 Media & Entertainment |
10.5.1.1 Content Creation |
10.5.1.2 Marketing & Advertising |
10.5.1.3 Gaming & VR |
10.5.2 Finance, Banking & Insurance (BFSI) |
10.5.2.1 Fraud Detection & Risk Management |
10.5.2.2 Personalized Finance, Customer Service & Marketing |
10.5.3 Information Technology & Telecommunications (IT & Telecom) |
10.5.3.1 Software Development |
10.5.3.2 Network Optimization & Security |
10.5.3.3 Customer Support & Engagement |
10.5.4 Healthcare |
10.5.4.1 Medical Image Analysis & Diagnosis |
10.5.4.2 Drug Discovery & Development |
10.5.4.3 Medical Research & Education |
10.5.5 Automotive & Transportation |
10.5.5.1 Self-Driving Car Development |
10.5.5.2 Traffic Management & Optimization |
10.5.5.3 Vehicle Design & Manufacturing |
10.5.10 Real Estate |
10.5.10.1 Architectural Design and Planning |
10.5.10.2 Property Valuation and Investment |
10.5.10.3 Virtual Property Tours and Visualization |
10.5.10.4 Space Planning and Interior Design |
10.5.10.5 Property Management and Maintenance |
10.5.10 Others |
10.6 Country |
10.6.1 Brazil |
10.6.1.1 Offering |
10.6.1.1.1 Software |
10.6.1.1.2 Services |
10.6.1.1.2.1 Subscription-Based Services |
10.6.1.1.2.2 One-Time Payment Services |
10.6.1.1.2.3 Value-Based Pricing Services |
10.6.1.2 Deployment |
10.6.1.2.1 On-Premises |
10.6.1.2.2 Cloud-Based |
10.6.2 Mexico |
10.6.2.1 Offering |
10.6.2.1.1 Software |
10.6.2.1.2 Services |
10.6.2.1.2.1 Subscription-Based Services |
10.6.2.1.2.2 One-Time Payment Services |
10.6.2.1.2.3 Value-Based Pricing Services |
10.6.2.2 Deployment |
10.6.2.2.1 On-Premises |
10.6.2.2.2 Cloud-Based |
10.6.3 Argentina |
10.6.3.1 Offering |
10.6.3.1.1 Software |
10.6.3.1.2 Services |
10.6.3.1.2.1 Subscription-Based Services |
10.6.3.1.2.2 One-Time Payment Services |
10.6.3.1.2.3 Value-Based Pricing Services |
10.6.3.2 Deployment |
10.6.3.2.1 On-Premises |
10.6.3.2.2 Cloud-Based |
10.6.4 Rest of Latin America |
10.6.4.1 Offering |
10.6.4.1.1 Software |
10.6.4.1.2 Services |
10.6.4.1.2.1 Subscription-Based Services |
10.6.4.1.2.2 One-Time Payment Services |
10.6.4.1.2.3 Value-Based Pricing Services |
10.6.4.2 Deployment |
10.6.4.2.1 On-Premises |
10.6.4.2.2 Cloud-Based |
11. Middle East & Africa Generative AI Market Segmentation (Market Size and Forecast by Value – USD billion, 2022 – 2030) |
11.1 Offering |
11.1.1 Software |
11.1.2 Services |
11.1.2.1 Subscription-Based Services |
11.1.2.2 One-Time Payment Services |
11.1.2.3 Value-Based Pricing Services |
11.2 Deployment |
11.2.1 On-Premises |
11.2.2 Cloud-Based |
11.3 Modality |
11.3.1 Text |
11.3.2 Code |
11.3.3 Image |
11.3.4 Audio |
11.3.5 Video |
11.3.6 Others |
11.4 Technology |
11.4.1 GANs (Generative Adversarial Networks) |
11.4.2 Autoencoders and Variational Autoencoders |
11.4.3 Others |
11.5 Vertical |
11.5.1 Media & Entertainment |
11.5.1.1 Content Creation |
11.5.1.2 Marketing & Advertising |
11.5.1.3 Gaming & VR |
11.5.2 Finance, Banking & Insurance (BFSI) |
11.5.2.1 Fraud Detection & Risk Management |
11.5.2.2 Personalized Finance, Customer Service & Marketing |
11.5.3 Information Technology & Telecommunications (IT & Telecom) |
11.5.3.1 Software Development |
11.5.3.2 Network Optimization & Security |
11.5.3.3 Customer Support & Engagement |
11.5.4 Healthcare |
11.5.4.1 Medical Image Analysis & Diagnosis |
11.5.4.2 Drug Discovery & Development |
11.5.4.3 Medical Research & Education |
11.5.5 Automotive & Transportation |
11.5.5.1 Self-Driving Car Development |
11.5.5.2 Traffic Management & Optimization |
11.5.5.3 Vehicle Design & Manufacturing |
11.5.11 Real Estate |
11.5.11.1 Architectural Design and Planning |
11.5.11.2 Property Valuation and Investment |
11.5.11.3 Virtual Property Tours and Visualization |
11.5.11.4 Space Planning and Interior Design |
11.5.11.5 Property Management and Maintenance |
11.5.11 Others |
11.6 Country |
11.6.1 United Arab Emirates |
11.6.1.1 Offering |
11.6.1.1.1 Software |
11.6.1.1.2 Services |
11.6.1.1.2.1 Subscription-Based Services |
11.6.1.1.2.2 One-Time Payment Services |
11.6.1.1.2.3 Value-Based Pricing Services |
11.6.1.2 Deployment |
11.6.1.2.1 On-Premises |
11.6.1.2.2 Cloud-Based |
11.6.2 Saudi Arabia |
11.6.2.1 Offering |
11.6.2.1.1 Software |
11.6.2.1.2 Services |
11.6.2.1.2.1 Subscription-Based Services |
11.6.2.1.2.2 One-Time Payment Services |
11.6.2.1.2.3 Value-Based Pricing Services |
11.6.2.2 Deployment |
11.6.2.2.1 On-Premises |
11.6.2.2.2 Cloud-Based |
11.6.3 South Africa |
11.6.3.1 Offering |
11.6.3.1.1 Software |
11.6.3.1.2 Services |
11.6.3.1.2.1 Subscription-Based Services |
11.6.3.1.2.2 One-Time Payment Services |
11.6.3.1.2.3 Value-Based Pricing Services |
11.6.3.2 Deployment |
11.6.3.2.1 On-Premises |
11.6.3.2.2 Cloud-Based |
11.6.4 Rest of Middle East & Africa |
11.6.4.1 Offering |
11.6.4.1.1 Software |
11.6.4.1.2 Services |
11.6.4.1.2.1 Subscription-Based Services |
11.6.4.1.2.2 One-Time Payment Services |
11.6.4.1.2.3 Value-Based Pricing Services |
11.6.4.2 Deployment |
11.6.4.2.1 On-Premises |
11.6.4.2.2 Cloud-Based |
12. Competitive Landscape |
12.1 Company Market Share Analysis |
12.2 Competitive Matrix |
12.3 Product Benchmarking |
12.4 Company Profiles (Manufacturers of Generative AI) |
12.4.1 Adobe |
12.4.1.1 Company Synopsis |
12.4.1.2 Company Financials |
12.4.1.3 Product/ Service Portfolio |
12.4.1.4 Recent Developments |
12.4.2 Amazon Web Services |
12.4.2.1 Company Synopsis |
12.4.2.2 Company Financials |
12.4.2.3 Product/ Service Portfolio |
12.4.2.4 Recent Developments |
12.4.3 Google |
12.4.3.1 Company Synopsis |
12.4.3.2 Company Financials |
12.4.3.3 Product/ Service Portfolio |
12.4.3.4 Recent Developments |
12.4.4 IBM |
12.4.4.1 Company Synopsis |
12.4.4.2 Company Financials |
12.4.4.3 Product/ Service Portfolio |
12.4.4.4 Recent Developments |
12.4.5 Meta |
12.4.5.1 Company Synopsis |
12.4.5.2 Company Financials |
12.4.5.3 Product/ Service Portfolio |
12.4.5.4 Recent Developments |
12.4.6 Microsoft |
12.4.6.1 Company Synopsis |
12.4.6.2 Company Financials |
12.4.6.3 Product/ Service Portfolio |
12.4.6.4 Recent Developments |
12.4.7 NVIDIA |
12.4.7.1 Company Synopsis |
12.4.7.2 Company Financials |
12.4.7.3 Product/ Service Portfolio |
12.4.7.4 Recent Developments |
12.4.8 Synthesia |
12.4.8.1 Company Synopsis |
12.4.8.2 Company Financials |
12.4.8.3 Product/ Service Portfolio |
12.4.8.4 Recent Developments |
12.4.9 Inflection AI |
12.4.9.1 Company Synopsis |
12.4.9.2 Company Financials |
12.4.9.3 Product/ Service Portfolio |
12.4.9.4 Recent Developments |
12.4.10 Anthropic |
12.4.10.1 Company Synopsis |
12.4.10.2 Company Financials |
12.4.10.3 Product/ Service Portfolio |
12.4.10.4 Recent Developments |
12.4.11 OpenAI |
12.4.11.1 Company Synopsis |
12.4.11.2 Company Financials |
12.4.11.3 Product/ Service Portfolio |
12.4.11.4 Recent Developments |
12.4.12 D-ID |
12.4.12.1 Company Synopsis |
12.4.12.2 Company Financials |
12.4.12.3 Product/ Service Portfolio |
12.4.12.4 Recent Developments |
12.4.13 Unity Technologies |
12.4.13.1 Company Synopsis |
12.4.13.2 Company Financials |
12.4.13.3 Product/ Service Portfolio |
12.4.13.4 Recent Developments |
12.4.14 Jasper AI |
12.4.14.1 Company Synopsis |
12.4.14.2 Company Financials |
12.4.14.3 Product/ Service Portfolio |
12.4.14.4 Recent Developments |
12.4.15 Insilico Medicine |
12.4.15.1 Company Synopsis |
12.4.15.2 Company Financials |
12.4.15.3 Product/ Service Portfolio |
12.4.15.4 Recent Developments |
12.5 Emerging Startups Operating in the Market |
12.5.1 Advanced Micro Devices |
12.5.2 Baidu |
12.5.3 Cisco Systems |
12.5.4 MOSTLY AI |
12.5.5 Genie AI |
12.5.6 Simplified |
12.5.7 Micron Technology |
12.5.8 Salesforce |
12.5.9 SAP SE |
12.5.10 SoundHound AI |
*List Not Exhaustive |
Disclaimer: The list of all other companies will be mentioned under client requirements |
13. Analyst Recommendations |
Intent Market Research employs a rigorous methodology to minimize residual errors by carefully defining the scope, validating findings through primary research, and consistently updating our in-house database. This dynamic approach allows us to capture ongoing market fluctuations and adapt to evolving market uncertainties.
The research factors used in our methodology vary depending on the specific market being analyzed. To begin with, we incorporate both demand and supply side information into our model to identify and address market gaps. Additionally, we also employ approaches such as Macro-Indicator Analysis, Factor Analysis, Value Chain-Based Sizing, and forecasting to further increase the accuracy of the numbers and validate the findings.
Research Approach
- Secondary Research Approach: During the initial phase of the research process, we acquire and accumulate extensive data continuously. This data is carefully filtered and validated through a variety of secondary sources.
- Primary Research Approach: Following the consolidation of data gathered through secondary research, we initiate a validation process to verify all the market numbers, and assumptions and validate the findings by engaging with subject matter experts.
Research Methodology
Our market research methodology utilizes both top-down and bottom-up approaches to segment and estimate quantitative aspects of the market. We also employ multi-perspective analysis, examining the market from distinct viewpoints.
