Saudi Arabia explainable ai market report Size, Share, Growth Drivers, Trends, Opportunities & Forecast 2025–2030

The Saudi Arabia Explainable AI market, valued at USD 130 million, is growing due to government initiatives like NSDAI, investments in AI, and need for transparent decision-making across key sectors.

Region:Middle East

Author(s):Geetanshi

Product Code:KRAC3819

Pages:89

Published On:October 2025

About the Report

Base Year 2024

Saudi Arabia Explainable AI Market Overview

  • The Saudi Arabia Explainable AI Market is valued at USD 130 million, based on a five-year historical analysis. This growth is primarily driven by the increasing demand for transparency in AI systems, regulatory compliance, and the need for trust in automated decision-making processes across sectors such as healthcare, finance, and government services. The adoption of explainable AI is accelerating as organizations seek to address algorithmic bias, enhance accountability, and comply with emerging standards for ethical AI deployment .
  • Key cities including Riyadh, Jeddah, and Dammam continue to dominate the market due to robust technological infrastructure, the presence of major corporations, and government initiatives focused on digital transformation. These cities serve as hubs for AI innovation, with significant investments in smart city projects, fintech, and healthcare analytics driving regional demand for explainable AI solutions .
  • In 2023, the Saudi government implemented the National Strategy for Data and Artificial Intelligence (NSDAI), issued by the Saudi Data and Artificial Intelligence Authority (SDAIA). This strategy mandates ethical AI deployment, requiring organizations to invest in explainable AI technologies to ensure transparency, accountability, and compliance with international standards. The NSDAI outlines operational requirements for data governance, algorithmic transparency, and sector-specific compliance thresholds, positioning Saudi Arabia as a regional leader in responsible AI adoption .
Saudi Arabia Explainable AI Market Size

Saudi Arabia Explainable AI Market Segmentation

By Component:The market is segmented into solutions and services. Solutions include software and tools that facilitate explainable AI, while services encompass consulting, integration, and support services. Solutions represent the largest share, reflecting the strong demand for platforms that provide model transparency, interpretability, and compliance reporting. Services are increasingly sought after for implementation, customization, and ongoing support as organizations scale their AI initiatives .

Saudi Arabia Explainable AI Market segmentation by Component.

The solutions segment is leading the market due to the increasing adoption of AI technologies across industries such as banking, healthcare, and government. Organizations are investing in software that provides transparency and interpretability of AI models, which is crucial for regulatory compliance and building user trust. The demand for advanced analytics and machine learning tools that offer explainability is driving growth in this segment, as businesses seek to leverage AI while ensuring ethical practices .

By Method:The market is segmented into model-agnostic methods, model-specific methods, post-hoc explanation techniques, and others. Each method offers distinct approaches to achieving explainability in AI systems. Model-agnostic methods are preferred for their flexibility and compatibility with diverse AI models, while model-specific methods and post-hoc techniques address specialized use cases in regulated industries .

Saudi Arabia Explainable AI Market segmentation by Method.

Model-agnostic methods dominate the market as they provide flexibility across various AI models, allowing organizations to implement explainability without being tied to specific algorithms. This adaptability is crucial for businesses that utilize diverse AI systems. The growing emphasis on transparency and accountability in AI decision-making processes is further propelling the adoption of these methods, making them a preferred choice among enterprises .

Saudi Arabia Explainable AI Market Competitive Landscape

The Saudi Arabia Explainable AI Market is characterized by a dynamic mix of regional and international players. Leading participants such as IBM Corporation, Microsoft Corporation, Google LLC (Alphabet Inc.), DataRobot, Inc., DarwinAI, Factmata, Kyndi, Amelia, BuildGroup, Ditto, SAS Institute Inc., H2O.ai, Inc., Accenture PLC, Salesforce.com, Inc., FICO (Fair Isaac Corporation) contribute to innovation, geographic expansion, and service delivery in this space .

IBM Corporation

1911

Armonk, New York, USA

Microsoft Corporation

1975

Redmond, Washington, USA

Google LLC (Alphabet Inc.)

1998

Mountain View, California, USA

DataRobot, Inc.

2012

Boston, Massachusetts, USA

DarwinAI

2017

Waterloo, Ontario, Canada

Company

Establishment Year

Headquarters

Group Size (Large, Medium, or Small as per industry convention)

Revenue Growth Rate (YoY, CAGR)

Market Share (Saudi Arabia, Global)

Customer Acquisition Cost (CAC)

Customer Retention Rate

Average Deal Size

Saudi Arabia Explainable AI Market Industry Analysis

Growth Drivers

  • Increasing Demand for Transparency in AI Systems:The Saudi Arabian government has emphasized the importance of transparency in AI systems, particularly in sectors like finance and healthcare. In future, the Kingdom's investment in AI is projected to reach approximately $20 billion, driven by the need for explainable AI solutions that enhance trust and accountability. This demand is further fueled by the growing public concern over data privacy and algorithmic bias, necessitating clearer insights into AI decision-making processes.
  • Government Initiatives Promoting AI Adoption:The Saudi government has launched several initiatives to promote AI adoption, including the National Strategy for Data and Artificial Intelligence (NSDAI). This strategy aims to position Saudi Arabia as a global leader in AI in future, with a projected investment of $500 million in AI-related projects in future alone. Such initiatives are expected to create a conducive environment for the growth of explainable AI technologies across various sectors, including public services and healthcare.
  • Rising Investments in AI Research and Development:In future, Saudi Arabia is expected to allocate around $1.5 billion towards AI research and development, reflecting a significant increase from previous years. This investment is aimed at fostering innovation in explainable AI, particularly in sectors like finance, where regulatory compliance requires clear interpretability of AI models. The influx of funding is likely to attract both local and international tech firms, enhancing the overall ecosystem for explainable AI solutions.

Market Challenges

  • Lack of Skilled Workforce in AI and Data Science:The rapid growth of the AI sector in Saudi Arabia is hindered by a shortage of skilled professionals. As of future, it is estimated that the country will face a deficit of approximately 20,000 AI specialists. This gap poses a significant challenge for organizations seeking to implement explainable AI solutions, as the lack of expertise can lead to ineffective deployment and underutilization of advanced technologies.
  • High Implementation Costs of Explainable AI Solutions:The initial costs associated with implementing explainable AI solutions can be prohibitively high for many organizations. In future, the average expenditure for deploying these systems is projected to be around $250,000 per project. This financial barrier can deter smaller companies from adopting necessary technologies, limiting the overall growth potential of the explainable AI market in Saudi Arabia.

Saudi Arabia Explainable AI Market Future Outlook

The future of the explainable AI market in Saudi Arabia appears promising, driven by increasing government support and a growing emphasis on ethical AI practices. As organizations across various sectors recognize the importance of transparency and accountability, the demand for explainable AI solutions is expected to rise. Furthermore, advancements in AI technologies and frameworks will likely facilitate the development of more user-friendly and cost-effective explainable AI tools, enhancing their adoption in the coming years.

Market Opportunities

  • Expansion of AI Applications in Various Sectors:The diversification of AI applications across sectors such as finance, healthcare, and education presents significant opportunities for explainable AI. In future, the healthcare sector alone is projected to invest $1 billion in AI technologies, creating a demand for solutions that provide clear insights into AI-driven decisions, thereby enhancing patient trust and compliance.
  • Collaboration Opportunities with Tech Startups:The burgeoning startup ecosystem in Saudi Arabia offers numerous collaboration opportunities for established firms looking to innovate in explainable AI. With over 500 tech startups projected to emerge in future, partnerships can lead to the development of tailored explainable AI solutions that address specific industry needs, fostering a more robust AI landscape in the Kingdom.

Scope of the Report

SegmentSub-Segments
By Component

Solutions

Services

By Method

Model-Agnostic Methods

Model-Specific Methods

Post-Hoc Explanation Techniques

Others

By End-User

Healthcare

Finance

Retail

Government

Others

By Application

Fraud & Anomaly Detection

Risk Management

Customer Insights

Compliance Monitoring

Others

By Deployment Mode

On-Premises

Cloud-Based

Hybrid

By Region

Central Region

Eastern Region

Western Region

Southern Region

By Pricing Model

Subscription-Based

Pay-Per-Use

One-Time License Fee

Others

Key Target Audience

Investors and Venture Capitalist Firms

Government and Regulatory Bodies (e.g., Saudi Data and Artificial Intelligence Authority, Ministry of Communications and Information Technology)

Technology Providers

Healthcare Organizations

Financial Services Institutions

Telecommunications Companies

Energy Sector Companies

Transportation and Logistics Firms

Players Mentioned in the Report:

IBM Corporation

Microsoft Corporation

Google LLC (Alphabet Inc.)

DataRobot, Inc.

DarwinAI

Factmata

Kyndi

Amelia

BuildGroup

Ditto

SAS Institute Inc.

H2O.ai, Inc.

Accenture PLC

Salesforce.com, Inc.

FICO (Fair Isaac Corporation)

Table of Contents

Market Assessment Phase

1. Executive Summary and Approach


2. Saudi Arabia Explainable AI Market Overview

2.1 Key Insights and Strategic Recommendations

2.2 Saudi Arabia Explainable 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 Explainable AI Market Analysis

3.1 Growth Drivers

3.1.1 Increasing demand for transparency in AI systems
3.1.2 Government initiatives promoting AI adoption
3.1.3 Rising investments in AI research and development
3.1.4 Growing awareness of ethical AI practices

3.2 Market Challenges

3.2.1 Lack of skilled workforce in AI and data science
3.2.2 High implementation costs of Explainable AI solutions
3.2.3 Regulatory uncertainties surrounding AI technologies
3.2.4 Resistance to change from traditional AI models

3.3 Market Opportunities

3.3.1 Expansion of AI applications in various sectors
3.3.2 Collaboration opportunities with tech startups
3.3.3 Development of industry-specific Explainable AI solutions
3.3.4 Increasing focus on AI ethics and compliance

3.4 Market Trends

3.4.1 Adoption of AI explainability tools in finance
3.4.2 Integration of Explainable AI in healthcare diagnostics
3.4.3 Growth of AI ethics frameworks and guidelines
3.4.4 Rise of open-source Explainable AI platforms

3.5 Government Regulation

3.5.1 National AI Strategy initiatives
3.5.2 Data protection and privacy laws
3.5.3 Guidelines for ethical AI usage
3.5.4 Compliance requirements for AI technologies

4. SWOT Analysis


5. Stakeholder Analysis


6. Porter's Five Forces Analysis


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

7.1 By Value

7.2 By Volume

7.3 By Average Selling Price


8. Saudi Arabia Explainable AI Market Segmentation

8.1 By Component

8.1.1 Solutions
8.1.2 Services

8.2 By Method

8.2.1 Model-Agnostic Methods
8.2.2 Model-Specific Methods
8.2.3 Post-Hoc Explanation Techniques
8.2.4 Others

8.3 By End-User

8.3.1 Healthcare
8.3.2 Finance
8.3.3 Retail
8.3.4 Government
8.3.5 Others

8.4 By Application

8.4.1 Fraud & Anomaly Detection
8.4.2 Risk Management
8.4.3 Customer Insights
8.4.4 Compliance Monitoring
8.4.5 Others

8.5 By Deployment Mode

8.5.1 On-Premises
8.5.2 Cloud-Based
8.5.3 Hybrid

8.6 By Region

8.6.1 Central Region
8.6.2 Eastern Region
8.6.3 Western Region
8.6.4 Southern Region

8.7 By Pricing Model

8.7.1 Subscription-Based
8.7.2 Pay-Per-Use
8.7.3 One-Time License Fee
8.7.4 Others

9. Saudi Arabia Explainable AI Market Competitive Analysis

9.1 Market Share of Key Players

9.2 Cross Comparison of Key Players

9.2.1 Company Name
9.2.2 Group Size (Large, Medium, or Small as per industry convention)
9.2.3 Revenue Growth Rate (YoY, CAGR)
9.2.4 Market Share (Saudi Arabia, Global)
9.2.5 Customer Acquisition Cost (CAC)
9.2.6 Customer Retention Rate
9.2.7 Average Deal Size
9.2.8 Product Development Cycle Time
9.2.9 Localization & Compliance Score (e.g., Saudi Data & AI Authority alignment)
9.2.10 Partnerships with Saudi Institutions

9.3 SWOT Analysis of Top Players

9.4 Pricing Analysis

9.5 Detailed Profile of Major Companies

9.5.1 IBM Corporation
9.5.2 Microsoft Corporation
9.5.3 Google LLC (Alphabet Inc.)
9.5.4 DataRobot, Inc.
9.5.5 DarwinAI
9.5.6 Factmata
9.5.7 Kyndi
9.5.8 Amelia
9.5.9 BuildGroup
9.5.10 Ditto
9.5.11 SAS Institute Inc.
9.5.12 H2O.ai, Inc.
9.5.13 Accenture PLC
9.5.14 Salesforce.com, Inc.
9.5.15 FICO (Fair Isaac Corporation)

10. Saudi Arabia Explainable AI Market End-User Analysis

10.1 Procurement Behavior of Key Ministries

10.1.1 Ministry of Health
10.1.2 Ministry of Finance
10.1.3 Ministry of Interior
10.1.4 Ministry of Education

10.2 Corporate Spend on Infrastructure & Energy

10.2.1 Investment in AI Infrastructure
10.2.2 Budget Allocation for Technology Upgrades
10.2.3 Spending on Training and Development

10.3 Pain Point Analysis by End-User Category

10.3.1 Data Privacy Concerns
10.3.2 Integration with Legacy Systems
10.3.3 Understanding AI Outputs

10.4 User Readiness for Adoption

10.4.1 Awareness of Explainable AI Benefits
10.4.2 Training Needs Assessment
10.4.3 Organizational Culture towards AI

10.5 Post-Deployment ROI and Use Case Expansion

10.5.1 Measurement of AI Impact
10.5.2 Scalability of Solutions
10.5.3 Future Use Case Identification

11. Saudi Arabia Explainable 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 Value Proposition Development

1.3 Revenue Streams Analysis

1.4 Customer Segmentation

1.5 Key Partnerships

1.6 Cost Structure

1.7 Channels of Distribution


2. Marketing and Positioning Recommendations

2.1 Branding Strategies

2.2 Product USPs

2.3 Target Audience Identification

2.4 Communication Strategy


3. Distribution Plan

3.1 Urban Retail Strategies

3.2 Rural NGO Tie-Ups

3.3 Online Distribution Channels

3.4 Partnerships with Local Distributors


4. Channel & Pricing Gaps

4.1 Underserved Routes

4.2 Pricing Bands Analysis

4.3 Competitor Pricing Comparison


5. Unmet Demand & Latent Needs

5.1 Category Gaps

5.2 Consumer Segments Analysis

5.3 Emerging Trends Identification


6. Customer Relationship

6.1 Loyalty Programs

6.2 After-Sales Service

6.3 Customer Feedback Mechanisms


7. Value Proposition

7.1 Sustainability Initiatives

7.2 Integrated Supply Chains

7.3 Customer-Centric Innovations


8. Key Activities

8.1 Regulatory Compliance

8.2 Branding Efforts

8.3 Distribution Setup


9. Entry Strategy Evaluation

9.1 Domestic Market Entry Strategy

9.1.1 Product Mix Considerations
9.1.2 Pricing Band Strategy
9.1.3 Packaging Options

9.2 Export Entry Strategy

9.2.1 Target Countries
9.2.2 Compliance Roadmap

10. Entry Mode Assessment

10.1 Joint Ventures

10.2 Greenfield Investments

10.3 Mergers & Acquisitions

10.4 Distributor Model


11. Capital and Timeline Estimation

11.1 Capital Requirements

11.2 Timelines for Implementation


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 Joint Ventures

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 Milestone Planning
15.2.2 Activity Tracking

Research Methodology

ApproachModellingSample

Phase 1: Approach1

Desk Research

  • Analysis of government publications and reports on AI regulations in Saudi Arabia
  • Review of industry white papers and market analysis reports from local research firms
  • Examination of academic journals and conference proceedings related to explainable AI

Primary Research

  • Interviews with AI researchers and practitioners in Saudi universities and tech firms
  • Surveys targeting decision-makers in organizations implementing AI solutions
  • Focus groups with end-users to understand perceptions of explainable AI

Validation & Triangulation

  • Cross-validation of findings with insights from industry experts and stakeholders
  • Triangulation of data from government, academia, and private sector sources
  • Sanity checks through expert panel discussions and feedback sessions

Phase 2: Market Size Estimation1

Top-down Assessment

  • Estimation of the overall AI market size in Saudi Arabia and its growth trajectory
  • Segmentation of the market by industry verticals such as healthcare, finance, and retail
  • Incorporation of government initiatives promoting AI adoption and innovation

Bottom-up Modeling

  • Collection of data on AI project budgets from leading firms in various sectors
  • Estimation of the number of AI deployments and their average costs across industries
  • Analysis of investment trends in explainable AI technologies and solutions

Forecasting & Scenario Analysis

  • Multi-factor regression analysis considering factors like technology adoption rates and regulatory impacts
  • Scenario modeling based on varying levels of government 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 Implementations60Healthcare IT Managers, Data Scientists
Financial Services AI Applications50Risk Analysts, Compliance Officers
Retail AI Solutions45Marketing Directors, E-commerce Managers
Government AI Initiatives40Policy Makers, Technology Advisors
Education Sector AI Adoption40Academic Researchers, IT Coordinators

Frequently Asked Questions

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

The Saudi Arabia Explainable AI Market is valued at approximately USD 130 million, reflecting a significant growth driven by the demand for transparency in AI systems and regulatory compliance across various sectors, including healthcare and finance.

What are the key drivers of growth in the Saudi Arabia Explainable AI Market?

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

What is the National Strategy for Data and Artificial Intelligence (NSDAI)?

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