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KSA generative ai market report Size, Share, Growth Drivers, Trends, Opportunities & Forecast 2025–2030

Saudi Arabia Generative AI Market, valued at USD 230 million, grows via AI adoption in key sectors and cities like Riyadh, with software segment leading at 65% revenue share.

Region:Middle East

Author(s):Dev

Product Code:KRAC4045

Pages:98

Published On:October 2025

About the Report

Base Year 2024

Saudi Arabia Generative AI Market Overview

  • The Saudi Arabia Generative AI Market is valued at USD 230 million, based on a five-year historical analysis. This growth is primarily driven by the increasing adoption of AI technologies across sectors such as healthcare, finance, and education, as organizations seek to enhance operational efficiency, automate content generation, and improve customer engagement through advanced AI solutions .
  • Key cities including Riyadh, Jeddah, and Dammam lead the market due to their robust digital infrastructure, concentration of skilled AI professionals, and substantial public and private investments in technology. Riyadh, as the capital, is a focal point for government-led AI initiatives, while Jeddah and Dammam benefit from their strategic economic roles and ongoing diversification efforts .
  • The National Strategy for Data and Artificial Intelligence (NSDAI), issued by the Saudi Data and Artificial Intelligence Authority (SDAIA) in 2020, sets out a comprehensive framework to position Saudi Arabia as a global leader in AI. The NSDAI mandates initiatives for AI capability development, research and innovation, ethical AI governance, and investment attraction across sectors, with operational programs including the establishment of AI research centers, talent development, and smart city accelerators .
Saudi Arabia Generative AI Market Size

Saudi Arabia Generative AI Market Segmentation

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 .

Saudi Arabia Generative AI Market segmentation by Component.

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 .

Saudi Arabia Generative AI Market segmentation by Technology.

Saudi Arabia Generative AI Market Competitive Landscape

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 .

stc Group (stc.AI)

1998

Riyadh, Saudi Arabia

King Abdullah University of Science and Technology (KAUST)

2009

Thuwal, Saudi Arabia

Saudi Data and Artificial Intelligence Authority (SDAIA)

2019

Riyadh, Saudi Arabia

National Center for Artificial Intelligence (NCAI)

2020

Riyadh, Saudi Arabia

Elm Company

1988

Riyadh, Saudi Arabia

Company

Establishment Year

Headquarters

Group Size (Large, Medium, or Small)

Revenue Growth Rate (Saudi Arabia Generative AI Segment)

Market Penetration Rate (Saudi Arabia Generative AI)

Number of Saudi Enterprise Clients

Local Data Sovereignty Compliance

R&D Investment in Saudi Arabia

Saudi Arabia Generative AI Market Industry Analysis

Growth Drivers

  • Increasing Demand for Automation:The Saudi Arabian economy is projected to grow by 4.5% in future, driven by a surge in automation across various sectors. Industries such as manufacturing and logistics are increasingly adopting generative AI technologies to enhance operational efficiency. For instance, the Ministry of Industry and Mineral Resources reported that automation could reduce operational costs by up to 25%, making it a critical driver for businesses aiming to remain competitive in a rapidly evolving market.
  • Government Initiatives and Funding:The Saudi government has allocated approximately $1.5 billion for AI initiatives as part of its Vision 2030 plan. This funding aims to foster innovation and support local startups in the generative AI space. The National Strategy for Data and Artificial Intelligence (NSDAI) emphasizes the importance of AI in diversifying the economy, with a target of creating 30,000 AI-related jobs in future, significantly boosting the market's growth potential.
  • Rising Adoption of AI in Various Sectors:The healthcare sector in Saudi Arabia is expected to invest around $2 billion in AI technologies in future, reflecting a growing trend towards digital transformation. Hospitals and clinics are increasingly utilizing generative AI for diagnostics and patient management, which enhances service delivery. Additionally, sectors like finance and retail are also integrating AI solutions, contributing to a robust demand for generative AI technologies across the economy.

Market Challenges

  • Data Privacy Concerns:With the implementation of AI technologies, data privacy remains a significant challenge in Saudi Arabia. The country is currently developing comprehensive data protection laws, which are expected to be finalized in future. The lack of established regulations may hinder the adoption of generative AI, as companies fear potential legal repercussions and reputational damage associated with data breaches, impacting overall market growth.
  • Lack of Skilled Workforce:The generative AI sector in Saudi Arabia faces a critical shortage of skilled professionals. According to the Saudi Ministry of Education, only 20% of university graduates in technology-related fields possess the necessary skills for AI roles. This skills gap is projected to limit the effective implementation of AI solutions, as companies struggle to find qualified personnel to drive innovation and maintain competitive advantages in the market.

Saudi Arabia Generative AI Market Future Outlook

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.

Market Opportunities

  • Expansion in Healthcare Applications:The healthcare sector presents significant opportunities for generative AI, with an expected investment of $2 billion in future. AI-driven solutions can enhance patient care, streamline operations, and improve diagnostic accuracy, making this a lucrative area for growth and innovation in the Saudi market.
  • Development of Smart Cities:Saudi Arabia's commitment to developing smart cities, such as NEOM, offers substantial opportunities for generative AI applications. These projects aim to integrate AI technologies for urban planning, traffic management, and resource optimization, creating a conducive environment for AI-driven innovations and attracting global tech partnerships.

Scope of the Report

SegmentSub-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

Key Target Audience

Investors and Venture Capitalist Firms

Government and Regulatory Bodies (e.g., Saudi Data and Artificial Intelligence Authority)

Technology Providers

Telecommunications Companies

Healthcare Providers and Organizations

Financial Institutions

Media and Entertainment Companies

Manufacturers and Producers in Various Industries

Players Mentioned in the Report:

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

C3.ai

Table of Contents

Market Assessment Phase

1. Executive Summary and Approach


2. Saudi Arabia Generative AI Market Overview

2.1 Key Insights and Strategic Recommendations

2.2 Saudi Arabia Generative AI Market Overview

2.3 Definition and Scope

2.4 Evolution of Market Ecosystem

2.5 Timeline of Key Regulatory Milestones

2.6 Value Chain & Stakeholder Mapping

2.7 Business Cycle Analysis

2.8 Policy & Incentive Landscape


3. Saudi Arabia Generative AI Market Analysis

3.1 Growth Drivers

3.1.1 Increasing Demand for Automation
3.1.2 Government Initiatives and Funding
3.1.3 Rising Adoption of AI in Various Sectors
3.1.4 Enhanced Data Availability and Processing Power

3.2 Market Challenges

3.2.1 Data Privacy Concerns
3.2.2 Lack of Skilled Workforce
3.2.3 High Implementation Costs
3.2.4 Regulatory Uncertainties

3.3 Market Opportunities

3.3.1 Expansion in Healthcare Applications
3.3.2 Growth in E-commerce and Retail
3.3.3 Development of Smart Cities
3.3.4 Collaboration with Global Tech Firms

3.4 Market Trends

3.4.1 Increasing Investment in AI Startups
3.4.2 Integration of AI with IoT
3.4.3 Focus on Ethical AI Practices
3.4.4 Customization of AI Solutions for Local Needs

3.5 Government Regulation

3.5.1 Data Protection Laws
3.5.2 AI Ethics Guidelines
3.5.3 Incentives for AI Research and Development
3.5.4 Compliance Requirements for AI Solutions

4. SWOT Analysis


5. Stakeholder Analysis


6. Porter's Five Forces Analysis


7. Saudi Arabia Generative AI Market Market Size, 2019-2024

7.1 By Value

7.2 By Volume

7.3 By Average Selling Price


8. Saudi Arabia Generative AI Market Segmentation

8.1 By Component

8.1.1 Software
8.1.2 Services

8.2 By Technology

8.2.1 Generative Adversarial Networks (GANs)
8.2.2 Transformers
8.2.3 Variational Autoencoders (VAEs)
8.2.4 Diffusion Networks

8.3 By Type

8.3.1 Text Generation
8.3.2 Image Generation
8.3.3 Video Generation
8.3.4 Code Generation
8.3.5 Others

8.4 By End-User

8.4.1 Healthcare
8.4.2 Retail
8.4.3 Finance
8.4.4 Education
8.4.5 Government
8.4.6 Manufacturing
8.4.7 Transportation & Logistics
8.4.8 Telecommunications
8.4.9 Media and Entertainment
8.4.10 Others

8.5 By Application

8.5.1 Customer Service Automation
8.5.2 Content Creation
8.5.3 Predictive Analytics
8.5.4 Fraud Detection
8.5.5 Drug Discovery
8.5.6 Simulation & Data Augmentation
8.5.7 Others

8.6 By Deployment Mode

8.6.1 Cloud-Based
8.6.2 On-Premises

8.7 By Investment Source

8.7.1 Private Investments
8.7.2 Government Funding
8.7.3 Venture Capital

8.8 By Policy Support

8.8.1 Subsidies for AI Development
8.8.2 Tax Incentives for AI Startups
8.8.3 Grants for Research and Development

9. Saudi Arabia Generative AI Market Competitive Analysis

9.1 Market Share of Key Players

9.2 KPIs for Cross Comparison of Key Players

9.2.1 Company Name
9.2.2 Group Size (Large, Medium, or Small)
9.2.3 Revenue Growth Rate (Saudi Arabia Generative AI Segment)
9.2.4 Market Penetration Rate (Saudi Arabia Generative AI)
9.2.5 Number of Saudi Enterprise Clients
9.2.6 Local Data Sovereignty Compliance
9.2.7 R&D Investment in Saudi Arabia
9.2.8 Innovation Rate (Patents, New Product Launches)
9.2.9 Strategic Partnerships (Saudi Entities)
9.2.10 Customer Satisfaction Score (Saudi Market)
9.2.11 Brand Recognition (Saudi Arabia)

9.3 SWOT Analysis of Top Players

9.4 Pricing Analysis

9.5 List of Major Companies

9.5.1 stc Group (stc.AI)
9.5.2 King Abdullah University of Science and Technology (KAUST)
9.5.3 Saudi Data and Artificial Intelligence Authority (SDAIA)
9.5.4 National Center for Artificial Intelligence (NCAI)
9.5.5 Elm Company
9.5.6 ACWA Power (AI-driven energy solutions)
9.5.7 Solutions by stc
9.5.8 Google Cloud AI
9.5.9 Microsoft Azure AI
9.5.10 IBM Watson
9.5.11 Amazon Web Services (AWS)
9.5.12 NVIDIA
9.5.13 Adobe Inc.
9.5.14 DataRobot
9.5.15 C3.ai

10. Saudi Arabia Generative AI Market End-User Analysis

10.1 Procurement Behavior of Key Ministries

10.1.1 Ministry of Health
10.1.2 Ministry of Education
10.1.3 Ministry of Interior
10.1.4 Ministry of Communications and Information Technology

10.2 Corporate Spend on Infrastructure & Energy

10.2.1 Investment in AI Infrastructure
10.2.2 Budget Allocation for Digital Transformation

10.3 Pain Point Analysis by End-User Category

10.3.1 Healthcare Sector Challenges
10.3.2 Retail Sector Challenges
10.3.3 Financial Sector Challenges

10.4 User Readiness for Adoption

10.4.1 Awareness Levels
10.4.2 Training and Support Needs

10.5 Post-Deployment ROI and Use Case Expansion

10.5.1 Measurement of ROI
10.5.2 Potential for Scaling Use Cases

11. Saudi Arabia Generative AI Market Future Size, 2025-2030

11.1 By Value

11.2 By Volume

11.3 By Average Selling Price


Go-To-Market Strategy Phase

1. Whitespace Analysis + Business Model Canvas

1.1 Market Gaps Identification

1.2 Business Model Development


2. Marketing and Positioning Recommendations

2.1 Branding Strategies

2.2 Product USPs


3. Distribution Plan

3.1 Urban Retail Strategies

3.2 Rural NGO Tie-Ups


4. Channel & Pricing Gaps

4.1 Underserved Routes

4.2 Pricing Bands


5. Unmet Demand & Latent Needs

5.1 Category Gaps

5.2 Consumer Segments


6. Customer Relationship

6.1 Loyalty Programs

6.2 After-Sales Service


7. Value Proposition

7.1 Sustainability

7.2 Integrated Supply Chains


8. Key Activities

8.1 Regulatory Compliance

8.2 Branding

8.3 Distribution Setup


9. Entry Strategy Evaluation

9.1 Domestic Market Entry Strategy

9.1.1 Product Mix
9.1.2 Pricing Band
9.1.3 Packaging

9.2 Export Entry Strategy

9.2.1 Target Countries
9.2.2 Compliance Roadmap

10. Entry Mode Assessment

10.1 JV

10.2 Greenfield

10.3 M&A

10.4 Distributor Model


11. Capital and Timeline Estimation

11.1 Capital Requirements

11.2 Timelines


12. Control vs Risk Trade-Off

12.1 Ownership vs Partnerships


13. Profitability Outlook

13.1 Breakeven Analysis

13.2 Long-Term Sustainability


14. Potential Partner List

14.1 Distributors

14.2 JVs

14.3 Acquisition Targets


15. Execution Roadmap

15.1 Phased Plan for Market Entry

15.1.1 Market Setup
15.1.2 Market Entry
15.1.3 Growth Acceleration
15.1.4 Scale & Stabilize

15.2 Key Activities and Milestones

15.2.1 Activity Planning
15.2.2 Milestone Tracking

Research Methodology

ApproachModellingSample

Phase 1: Approach1

Desk Research

  • Analysis of government publications and reports on AI initiatives in Saudi Arabia
  • Review of industry white papers and market analysis reports from leading consulting firms
  • Examination of academic journals and conference proceedings related to generative AI technologies

Primary Research

  • Interviews with AI technology leaders and innovators in the Saudi market
  • Surveys targeting IT decision-makers in various sectors adopting generative AI
  • Focus groups with end-users to understand perceptions and expectations of generative AI applications

Validation & Triangulation

  • Cross-validation of findings through multiple data sources including industry reports and expert opinions
  • Triangulation of qualitative insights from interviews with quantitative data from surveys
  • Sanity checks through expert panel reviews to ensure data reliability and relevance

Phase 2: Market Size Estimation1

Top-down Assessment

  • Estimation of the generative AI market size based on national technology spending trends
  • Segmentation of the market by industry verticals such as healthcare, finance, and education
  • Incorporation of government initiatives and funding for AI development in Saudi Arabia

Bottom-up Modeling

  • Data collection from leading generative AI solution providers on revenue and market share
  • Estimation of adoption rates across different sectors based on firm-level case studies
  • Calculation of market size based on the number of deployments and average deal sizes

Forecasting & Scenario Analysis

  • Multi-factor regression analysis incorporating economic indicators and technology adoption rates
  • Scenario modeling based on varying levels of regulatory support and market readiness
  • Development of baseline, optimistic, and pessimistic forecasts through 2030

Phase 3: CATI Sample Composition1

Scope Item/SegmentSample SizeTarget Respondent Profiles
Healthcare AI Applications60Healthcare IT Managers, Medical Directors
Financial Services AI Integration50Chief Technology Officers, Risk Management Officers
Education Sector AI Tools40University Administrators, EdTech Innovators
Retail AI Solutions50Marketing Managers, E-commerce Directors
Manufacturing AI Implementations40Operations Managers, Production Supervisors

Frequently Asked Questions

What is the current value of the Saudi Arabia Generative AI Market?

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.

Which cities are leading the Generative AI Market in Saudi Arabia?

What are the main components of the Saudi Arabia Generative AI Market?

What technologies are driving the Generative AI Market in Saudi Arabia?

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