Region:Middle East
Author(s):Dev
Product Code:KRAC4045
Pages:98
Published On:October 2025

By Component:The market is segmented into Software and Services. The Software segment includes applications and platforms leveraging generative AI technologies, while the Services segment comprises consulting, implementation, and support services provided by AI vendors. The Software segment currently leads the market, accounting for about 65% of revenue, driven by the surging demand for AI-powered applications in content creation, automation, and analytics across industries .

By Technology:The market is segmented into Generative Adversarial Networks (GANs), Transformers, Variational Autoencoders (VAEs), and Diffusion Networks. Transformers continue to dominate due to their versatility and superior performance in natural language processing and content generation, which are increasingly adopted by enterprises. Diffusion models are also gaining traction for their high-quality image and data generation capabilities, particularly in sectors such as healthcare, drug discovery, and creative industries .

The Saudi Arabia Generative AI Market is characterized by a dynamic mix of regional and international players. Leading participants such as stc Group (stc.AI), King Abdullah University of Science and Technology (KAUST), Saudi Data and Artificial Intelligence Authority (SDAIA), National Center for Artificial Intelligence (NCAI), Elm Company, ACWA Power (AI-driven energy solutions), Solutions by stc, Google Cloud AI, Microsoft Azure AI, IBM Watson, Amazon Web Services (AWS), NVIDIA, Adobe Inc., DataRobot, and C3.ai contribute to innovation, geographic expansion, and service delivery in this space .
The future of the generative AI market in Saudi Arabia appears promising, driven by ongoing government support and increasing private sector investment. As the nation continues to diversify its economy, the integration of AI technologies across various sectors will likely accelerate. Furthermore, advancements in data analytics and machine learning are expected to enhance the capabilities of generative AI, leading to innovative applications that address local needs and challenges, fostering sustainable growth in the industry.
| Segment | Sub-Segments |
|---|---|
| By Component | Software Services |
| By Technology | Generative Adversarial Networks (GANs) Transformers Variational Autoencoders (VAEs) Diffusion Networks |
| By Type | Text Generation Image Generation Video Generation Code Generation Others |
| By End-User | Healthcare Retail Finance Education Government Manufacturing Transportation & Logistics Telecommunications Media and Entertainment Others |
| By Application | Customer Service Automation Content Creation Predictive Analytics Fraud Detection Drug Discovery Simulation & Data Augmentation Others |
| By Deployment Mode | Cloud-Based On-Premises |
| By Investment Source | Private Investments Government Funding Venture Capital |
| By Policy Support | Subsidies for AI Development Tax Incentives for AI Startups Grants for Research and Development |
| Scope Item/Segment | Sample Size | Target Respondent Profiles |
|---|---|---|
| Healthcare AI Applications | 60 | Healthcare IT Managers, Medical Directors |
| Financial Services AI Integration | 50 | Chief Technology Officers, Risk Management Officers |
| Education Sector AI Tools | 40 | University Administrators, EdTech Innovators |
| Retail AI Solutions | 50 | Marketing Managers, E-commerce Directors |
| Manufacturing AI Implementations | 40 | Operations Managers, Production Supervisors |
The Saudi Arabia Generative AI Market is valued at approximately USD 230 million, reflecting significant growth driven by the increasing adoption of AI technologies across various sectors, including healthcare, finance, and education.