Saudi Arabia Artificial Intelligence (AI) Market by Infrastructure (Compute, Memory, Networking), Software (Conversational Assistants, No Code/Low Code, BI & Analytics, Developer Platforms), Technology (ML, NLP, Gen AI) - Forecast to 2032

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USD 16.9 BN
MARKET SIZE, 2032
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CAGR 34.3%
(2025-2032)
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252
REPORT PAGES
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220
MARKET TABLES

OVERVIEW

saudi-arabia-artificial-intelligence-market Overview

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The size of the Saudi Arabia artificial intelligence market is estimated to be USD 2.14 billion in 2025 and reach USD 16.90 billion by 2032, growing at a CAGR of 34.3%. The growth in the AI industry in Saudi can be attributed to the government's Vision 2030 plan, where AI has been placed on one of the prominent fronts in economic diversification. The public spending on AI, ease in regulations, and government-implemented activities in digital units are paving the way for the adoption of AI in ministries and government corporations in Saudi Arabia.

KEY TAKEAWAYS

  • By Offering
    By offering, the Infrastructure segment is estimated to lead the market in 2025.
  • By Technology
    By technology, the generative AI segment is projected to register the highest CAGR of 47.5%.
  • By Business Function
    By business function, the sales & marketing segment is estimated to dominate the market with USD 0.58 billion in 2025.
  • By Enterprise End User
    The technology & software providers segment is projected to grow at the fastest rate at a CAGR of 38.4% during the forecast period.
  • Competitive Landscape
    Google, Microsoft, NVIDIA, Oracle, and AWS were identified as some of the star players in the Saudi Arabia Artificial Intelligence (AI) market, given their strong market share and product footprint.
  • Competitive Landscape
    Lucidya, Lisan, Intella, EyeGo.ai, Krooz.ai, Humain, among others, have distinguished themselves among startups and SMEs by securing strong footholds in the Saudi Arabia Artificial Intelligence (AI), underscoring its potential as an emerging market leader

Commercial AI applications across oil & gas, manufacturing, travel & hospitality to strengthen the AI demand in Saudi Arabia. AI is utilized for medical diagnostics, population health management, supply chain optimization, fraud detection, and automating citizen services. The establishment of national data platforms under Saudi data governance authorities, combined with rising enterprise cloud migration and cybersecurity investments, is further enabling trusted, compliant, and scalable AI commercialization across the country.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

Technological advancements in a variety of sectors have resulted in increased efficiency in energy consumption, improved traffic flow, enhanced use of water resources, greater levels of construction automation, enhanced provision of public safety, enhanced personalization of tourism experiences, and more. As a result, there is increasing interest in AI implementations in high-value multi-sector supply chains for infrastructure, sustainability, and urban intelligence, therefore offering increased revenue opportunities in each of these markets. NEOM, The Red Sea Project, or large city transformation projects will serve as models of how advanced artificial intelligence can be used. These projects continue to generate ongoing demand for and use of advanced AI technologies, particularly but not limited to artificial vision (robotics), digital twins, predictive behavior models, and autonomous vehicles.

saudi-arabia-artificial-intelligence-market Disruptions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Saudi Arabia’s Vision 2030, National AI Strategy Led By Sovereign Digital Transformation Agendas
  • Reducing Oil Dependence by Driving Economic Diversification Through AI
RESTRAINTS
Impact
Level
  • High Capital Intensity of Compliant, Secure, and Explainable AI Systems
  • Uneven AI Readiness across Traditional Saudi Enterprises and SMEs
OPPORTUNITIES
Impact
Level
  • Smart City Intelligence Platforms for NEOM, Red Sea, and Urban Mega-projects
  • AI-powered Healthcare Modernization Aligned With Saudi Public Health Priorities
CHALLENGES
Impact
Level
  • Enforcing Saudi Data Privacy, Algorithm Transparency and Responsible AI Governance
  • Reducing Bias and Ensuring Fairness in Arabic and Legacy AI Systems

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Saudi Arabia’s Vision 2030, National AI Strategy Led By Sovereign Digital Transformation Agendas

The growth of the Saudi Arabia AI market is primarily driven by Saudi's Vision 2030 agenda, the National AI Strategy, and sovereign digital transformation programs that position artificial intelligence as a core enabler of economic diversification beyond hydrocarbons. Strong government funding, centralized policy execution, and national data and cloud infrastructure initiatives are driving the acceleration of AI adoption across various sectors, including public services, healthcare, energy, manufacturing, logistics, and financial services.

Restraint: High Capital Intensity of Compliant, Secure, and Explainable AI Systems

Despite strong momentum, the Saudi Arabia AI market faces structural restraints related to the high capital intensity required for deploying secure, compliant, and explainable AI systems, particularly at enterprise and government scale. The varying levels of AI readiness in traditional Saudi enterprises and SMEs, along with the limited availability of skilled local AI talent, continue to hinder consistent market penetration.

Opportunity: Smart City Intelligence Platforms for NEOM, Red Sea, and Urban Mega-projects

Advancements in smart city intelligence platforms, healthcare modernization, and industrial AI all align with national development priorities. AI-enabled healthcare diagnostics, population health analytics, predictive maintenance, industrial safety, smart energy management, and intelligent mobility solutions are gaining traction as part of national efforts to enhance productivity and sustainability.

Challenge: Enforcing Saudi Data Privacy, Algorithm Transparency and Responsible AI Governance

The strict enforcement of data privacy laws, algorithmic transparency, and responsible AI governance is increasing compliance requirements. As AI becomes embedded across critical infrastructures, energy grids, healthcare networks, and smart cities, it remains a national resilience challenge.

SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
Omantel partnered with Elevatus to seamlessly integrate a leading AI Video Interview software to identify the best talent. Elevatus and Omantel revolutionized recruitment by implementing Elevatus’ AI Video Interview solution for its Generation Z program. Omantel achieved outstanding results, tripling its ROI, accelerating the assessment process by 83%, and making recruitment 12x faster than traditional methods. The company evaluated 5,500 candidates in just days, built a centralized talent database, and identified top applicants.
Savvy Games Group integrates HUMAIN’s full-stack AI capabilities into its core business operations. They will also leverage HUMAIN’s data centers and cloud infrastructure to support computing needs and engage in joint R&D to explore new AI-driven applications across Savvy’s gaming and esports ecosystem. The deployment significantly enhances Savvy’s operational efficiency by automating and optimizing back-office processes, thereby reducing overheads. AI-driven tools can enhance productivity, accelerate development cycles, and spur innovation, potentially elevating the quality and variety of games and esports offerings.
The Seha Virtual Hospital’s Digital Clinical Research Center conducted a clinical study to validate an AI-powered digital platform (iSelfie.ai) that analyzes a standard smartphone selfie to measure vital signs and uses these measurements to detect early signs of heart disease and related chronic conditions. The approach can dramatically increase the accessibility of heart-disease screening, enabling people to receive early detection simply via a smartphone, thereby reducing the need for specialized equipment or clinical visits.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The Saudi AI ecosystem includes a broad range of global and regional players offering a wide array of AI technologies and platforms that include machine learning frameworks, deep learning tools, large language models, computer vision systems, speech recognition, conversational AI, and generative AI solutions to address enterprise and consumer use cases. These players offer end-to-end AI capabilities such as data engineering, MLOps, model training and deployment, AI-optimized cloud infrastructure, GPU computing, and edge AI, required for driving scalable, real-time intelligence. Some of the global players with office locations in Saudi Arabia include NVIDIA, Microsoft, Google, AWS, IBM, SAP, Oracle, Meta, HPE, and SAS Institute. Some regional players cover Mozn.ai, Lucidya, Intella, Knowtified, Lisan, and EyesGo.ai, among others.

saudi-arabia-artificial-intelligence-market Ecosystem

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

saudi-arabia-artificial-intelligence-market Segments

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Kingdom of Saudi Arabia Artificial Intelligence (AI) Market, by Offering

As of 2025, the Infrastructure segment is expected to dominate the market due to large-scale investments in sovereign cloud, hyperscale data centers, high-performance computing (HPC), national data platforms, and advanced connectivity frameworks under Vision 2030. The rapid development of giga-projects and smart cities, such as NEOM, is creating a massive demand for AI-ready digital infrastructure to support real-time analytics, digital twins, computer vision, and autonomous systems. Government-led initiatives to strengthen cybersecurity, data localization, and national cloud ecosystems are accelerating the adoption of enterprise AI workloads in Saudi Arabia.

Kingdom of Saudi Arabia Artificial Intelligence (AI) Market, by Technology

Generative AI to grow at a rapid pace due to rising government and enterprise demand for Arabic-first large language models, sovereign generative platforms, and AI-powered digital government services under Vision 2030. Large enterprises are increasingly deploying generative AI for citizen engagement, document automation, policy analysis, intelligent virtual assistants, and the generation of multilingual content. Furthermore, sectors such as banking, healthcare, media, education, and tourism are adopting generative AI for personalized customer engagement, clinical documentation, fraud intelligence, marketing automation, and localized content creation.

Kingdom of Saudi Arabia Artificial Intelligence (AI) Market, by Business Function

By 2025, marketing & sales business functions will dominate the market due to the rapid digitalization of customer engagement across retail, banking, telecom, tourism, and e-commerce sectors. Enterprises across Saudi Arabia are increasingly deploying AI solutions for personalized recommendations, dynamic pricing, and deriving conversational insights to improve customer acquisition across digital and omnichannel platforms. The strong growth of Saudi eCommerce, digital payments, smart tourism, and the developing entertainment sector is further accelerating demand for AI-driven marketing automation, real-time customer intelligence, and data-driven sales enablement.

Kingdom of Saudi Arabia Artificial Intelligence (AI) Market, by Enterprise End User

Software & technology providers are projected to grow at the fastest rate during the forecast period due to accelerating digital transformation across government entities and large enterprises under Vision 2030. Saudi organizations are rapidly modernizing core enterprise functions by integrating AI-enabled ERP, CRM, HRTech, cybersecurity, analytics, and decision intelligence platforms to improve operational efficiency, service delivery, and regulatory compliance. The growing adoption of cloud-native enterprise applications, national data platforms, and low-code/no-code AI development tools is further expanding the role of software vendors in delivering scalable and interoperable AI capabilities.

REGION

 

 

saudi-arabia-artificial-intelligence-market Region

SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET: COMPANY EVALUATION MATRIX

Microsoft is the leader in the Saudi artificial intelligence market matrix (Star) due to the massive artificial intelligence environment it has, with the likes of Azure AI, Copilot, and machine learning services. This helps in the evolution of intelligent solutions for companies as it enables them to innovate, automate, and scale. Oracle is enhancing its position as a market leader (Emerging Leader) as it has widened its OCI AI platform, growing rapidly in the last few months. Oracle is developing highly capable Generative AIs for businesses, as well as developing its cloud applications with the use of artificial intelligence. Oracle is recognized as an emerging rival for Microsoft in the market space of AI, as it enables businesses to have enterprise-class performance, security, and scalability with the development of verticalized AI workflows, self-driving databases, and cost-effective GPU computing.

saudi-arabia-artificial-intelligence-market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC DETAILS
Market Size, 2024 (Value) USD 1.44 Billion
Market Forecast, 2032 (Value) USD 16.90 Billion
CAGR 34.3%
Years Considered 2020–2032
Base Year 2024
Forecast Period 2025–2032
Units Considered Value (USD Million/Billion)
Fastest-growing Technology Generative AI
Report Coverage Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments Covered
  • By Offering:
    • Infrastructure
    • Software
    • Services
  • By Technology:
    • Machine Learning
    • Natural Language Processing
    • Computer Vision
    • Generative AI
    • Context-aware AI
  • By Business Function:
    • Marketing & Sales
    • Human Resources
    • Finance & Accounting
    • Operations & Supply Chain
    • Other Business Function
  • By End User:
    • Enterprise
    • Consumer
  • By Enterprise End User:
    • Media & Entertainment
    • Automotive
    • Transportation & Logistics
    • Manufacturing
    • Healthcare & Life Sciences
    • Software & Technology Providers
    • BFSI
    • Energy & Utilities
    • Retail & E-commerce
    • Government & Defense
    • Agriculture
    • Telecommunications
    • Other Enterprise Applications

WHAT IS IN IT FOR YOU: SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET REPORT CONTENT GUIDE

saudi-arabia-artificial-intelligence-market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
IT Infrastructure Service Provider
  • Deep dive into sub-segment-level AI market numbers and market share
  • Segmentation by end-user industries
  • Overview of local ecosystem and key players
  • Identify top growth markets within Saudi Arabia
  • Support localization of marketing and sales strategies
  • Highlight regional opportunities for expansion
Leading Telecom Vendor – Kingdom of Saudi Arabia (KSA)
  • Detailed country-level AI market sizing and share analysis
  • Assessment of key drivers, trends, and challenges
  • Competitive landscape mapping of major regional and global players
  • Enable market entry and investment decisions in Saudi Arabia
  • Support strategic planning and partnership development
  • Identify growth opportunities in government and enterprise sectors

RECENT DEVELOPMENTS

  • November 2025 : AWS partnered with HUMAIN, a Public Investment Fund (PIF) company delivering global full-stack AI solutions, and announced their plans to provide, deploy, and manage up to 150,000 AI accelerators in a data center facility known as an “AI Zone” in Riyadh. As part of the expanded partnership, AWS would become HUMAIN’s preferred AI partner globally, and the two companies would collaborate to bring AI compute and services from Saudi Arabia to customers worldwide.
  • November 2025 : The Saudi Data and Artificial Intelligence Authority has signed seven strategic agreements with leading technology companies as part of efforts to accelerate the Kingdom’s digital transformation and expand its AI capabilities. The agreements covered a broad spectrum of collaboration aimed at boosting data infrastructure, developing the national workforce, and advancing AI adoption across key sectors.
  • May 2025 : HUMAIN partnered with NVIDIA to drive the next wave of artificial intelligence development, leveraging NVIDIA's platforms and expertise to establish Saudi Arabia as a global leader in AI, GPU cloud computing, and digital transformation, thereby driving innovation and growth worldwide. The partnership underscored HUMAIN’s mission to position Saudi Arabia as a global AI powerhouse, combining cutting-edge infrastructure, frontier AI models, immersive digital platforms, and human capital development.
  • February 2025 : Salesforce planned to invest USD 500 million in Saudi Arabia related to artificial intelligence, as countries compete to secure investments in the nascent but critical technology. As part of the investment, Salesforce would introduce Hyperforce, its platform architecture delivered through a strategic partnership with AWS, in the country.
  • February 2025 : Groq secured a USD 1.5 billion commitment from Saudi Arabia to expand the delivery of its advanced AI chips to the country. The company's chips, which specialize in fast responses from chatbots and other large language models, were subject to US export controls, but Groq said it has obtained the licenses it needs to ship them to Dammam.

 

Table of Contents

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TITLE
PAGE NO
1
INTRODUCTION
 
 
 
 
15
2
EXECUTIVE SUMMARY
 
 
 
 
 
3
PREMIUM INSIGHTS
 
 
 
 
 
4
MARKET OVERVIEW
This section summarizes market dynamics, key shifts, and high-impact trends shaping demand outlook.
 
 
 
 
 
 
4.1
INTRODUCTION
 
 
 
 
 
4.2
MARKET DYNAMICS
 
 
 
 
 
 
4.2.1
DRIVERS
 
 
 
 
 
 
4.2.1.1
SAUDI ARABIA’S VISION 2030, NATIONAL AI STRATEGY LED BY SOVEREIGN DIGITAL TRANSFORMATION AGENDAS
 
 
 
 
 
4.2.1.2
REDUCING OIL DEPENDENCE BY DRIVING ECONOMIC DIVERSIFICATION THROUGH AI
 
 
 
 
4.2.2
RESTRAINTS
 
 
 
 
 
 
4.2.2.1
HIGH CAPITAL INTENSITY OF COMPLIANT, SECURE, AND EXPLAINABLE AI SYSTEMS
 
 
 
 
 
4.2.2.2
UNEVEN AI READINESS ACROSS TRADITIONAL SAUDI ENTERPRISES AND SMES
 
 
 
 
4.2.3
OPPORTUNITIES
 
 
 
 
 
 
4.2.3.1
AI-POWERED HEALTHCARE MODERNIZATION ALIGNED WITH SAUDI PUBLIC HEALTH PRIORITIES
 
 
 
 
 
4.2.3.2
SMART CITY INTELLIGENCE PLATFORMS FOR NEOM, RED SEA, AND URBAN MEGA-PROJECTS
 
 
 
 
4.2.4
CHALLENGES
 
 
 
 
 
 
4.2.4.1
ENFORCING SAUDI DATA PRIVACY, ALGORITHM TRANSPARENCY, AND RESPONSIBLE AI GOVERNANCE
 
 
 
 
 
4.2.4.2
REDUCING BIAS AND ENSURING FAIRNESS IN ARABIC AND REGION-SPECIFIC AI SYSTEMS
 
 
 
4.3
UNMET NEEDS AND WHITE SPACES
 
 
 
 
 
4.4
INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
 
 
 
 
 
4.5
STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
 
 
 
 
5
INDUSTRY TRENDS
Summarizes the competitive environment, macro signals, and segment-level movements driving market outcomes.
 
 
 
 
 
 
5.1
EVOLUTION OF THE SAUDI ARABIA ARTIFICIAL INTELLIGENCE (AI)
 
 
 
 
 
5.2
PORTER’S FIVE FORCES ANALYSIS
 
 
 
 
 
5.3
SUPPLY CHAIN ANALYSIS
 
 
 
 
 
 
5.4
ECOSYSTEM ANALYSIS
 
 
 
 
 
 
5.5
PRICING ANALYSIS
 
 
 
 
 
 
 
5.5.1
AVERAGE SELLING PRICE OF OFFERING, BY KEY PLAYERS,
 
 
 
 
 
5.5.2
AVERAGE SELLING PRICE, BY TECHNOLOGY,
 
 
 
 
5.6
KEY CONFERENCES AND EVENTS, 2025–2026
 
 
 
 
 
5.7
TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
 
 
 
 
 
5.8
INVESTMENT AND FUNDING SCENARIO
 
 
 
 
 
5.9
CASE STUDY ANALYSIS
 
 
 
 
 
 
5.9.1
CASE STUDY
 
 
 
 
 
5.9.2
CASE STUDY
 
 
 
 
 
5.9.3
CASE STUDY
 
 
 
 
5.10
TRADE ANALYSIS
 
 
 
 
 
 
 
5.10.1
IMPORT SCENARIO (HS CODE 854231)
 
 
 
 
 
5.10.2
EXPORT SCENARIO (HS CODE 854231)
 
 
 
 
5.11
MACROECONOMIC OUTLOOK
 
 
 
 
 
 
5.11.1
INTRODUCTION
 
 
 
 
 
5.11.2
GDP TRENDS AND FORECAST
 
 
 
 
 
5.11.3
TRENDS IN THE SAUDI ARABIA GENERATIVE AI INDUSTRY
 
 
 
 
 
5.11.4
TRENDS IN THE SAUDI ARABIA CONVERSATIONAL AI INDUSTRY
 
 
 
6
TECHNOLOGICAL ADVANCEMENTS, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS
 
 
 
 
 
 
6.1
KEY EMERGING TECHNOLOGIES
 
 
 
 
 
6.2
COMPLEMENTARY TECHNOLOGIES
 
 
 
 
 
6.3
ADJACENT TECHNOLOGIES
 
 
 
 
 
6.4
TECHNOLOGY/PRODUCT ROADMAP
 
 
 
 
 
6.5
PATENT ANALYSIS
 
 
 
 
 
 
 
6.5.1
METHODOLOGY
 
 
 
 
 
6.5.2
PATENTS FILED, BY DOCUMENT TYPE, 2015–2025
 
 
 
 
 
6.5.3
INNOVATION AND PATENT APPLICATIONS
 
 
 
 
6.7
FUTURE APPLICATIONS
 
 
 
 
7
REGULATORY LANDSCAPE
 
 
 
 
 
 
7.1
REGIONAL REGULATIONS AND COMPLIANCE
 
 
 
 
 
 
7.1.1
REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
 
 
 
 
 
7.1.2
INDUSTRY STANDARDS
 
 
 
8
CUSTOMER LANDSCAPE & BUYER BEHAVIOR
 
 
 
 
 
 
8.1
INTRODUCTION
 
 
 
 
 
8.2
DECISION-MAKING PROCESS
 
 
 
 
 
8.3
KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS
 
 
 
 
 
 
8.3.1
KEY STAKEHOLDERS IN BUYING PROCESS
 
 
 
 
 
8.3.2
BUYING CRITERIA
 
 
 
 
8.4
ADOPTION BARRIERS AND INTERNAL CHALLENGES
 
 
 
 
 
8.5
UNMET NEEDS OF VARIOUS END USERS
 
 
 
 
 
8.6
MARKET PROFITABILITY
 
 
 
 
9
SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING (COMPARATIVE ASSESSMENT OF AI INFRASTRUCTURE, SOFTWARE & SERVICES, THEIR MARKET POTENTIAL, AND SUPPLY PATTERNS BY VARIOUS VENDORS)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
 
9.1
INTRODUCTION
 
 
 
 
 
 
9.1.1
OFFERING: SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET DRIVERS
 
 
 
 
9.2
INFRASTRUCTURE, BY TYPE
 
 
 
 
 
 
9.2.1
COMPUTE
 
 
 
 
 
 
9.2.1.1
GRAPHICS PROCESSING UNIT (GPU)
 
 
 
 
 
9.2.1.2
CENTRAL PROCESSING UNIT (CPU)
 
 
 
 
 
9.2.1.3
FIELD-PROGRAMMABLE GATE ARRAY (FPGA)
 
 
 
 
9.2.2
MEMORY
 
 
 
 
 
 
9.2.2.1
DOUBLE DATA RATE (DDR)
 
 
 
 
 
9.2.2.2
HIGH BANDWIDTH MEMORY (HBM)
 
 
 
 
9.2.3
NETWORKING HARDWARE
 
 
 
 
 
 
9.2.3.1
NIC/NETWORK ADAPTERS
 
 
 
 
 
 
9.2.3.1.1
ETHERNET
 
 
 
 
 
9.2.3.1.2
INFINIBAND
 
 
 
 
9.2.3.2
INTERCONNECTS
 
 
 
 
9.2.4
STORAGE
 
 
 
 
9.3
INFRASTRUCTURE, BY FUNCTION
 
 
 
 
 
 
9.3.1
TRAINING
 
 
 
 
 
9.3.2
INFERENCE
 
 
 
 
9.4
SOFTWARE
 
 
 
 
 
 
9.4.1
DIGITAL ASSISTANT & BOTS
 
 
 
 
 
9.4.2
MACHINE LEARNING FRAMEWORKS
 
 
 
 
 
9.4.3
NO-CODE/LOW-CODE ML TOOLS
 
 
 
 
 
9.4.4
COMPUTER VISION PLATFORMS
 
 
 
 
 
9.4.5
DATA PRE-PROCESSING TOOLS
 
 
 
 
 
9.4.6
BUSINESS INTELLIGENCE & ANALYTICS PLATFORMS
 
 
 
 
 
9.4.7
DEVELOPER PLATFORMS
 
 
 
 
 
9.4.8
OTHER AI SOFTWARE
 
 
 
 
9.5
SERVICES
 
 
 
 
 
 
9.5.1
CORE DATA SERVICES
 
 
 
 
 
 
9.5.1.1
DATA COLLECTION & INGESTION
 
 
 
 
 
9.5.1.2
DATA PROCESSING & TRANSFORMATION
 
 
 
 
 
9.5.1.3
DATA STORAGE & MANAGEMENT
 
 
 
 
 
9.5.1.4
DATA SECURITY & PRIVACY
 
 
 
 
 
9.5.1.5
DATA GOVERNANCE & QUALITY MANAGEMENT
 
 
 
 
 
9.5.1.9
DATA INTEGRATION & INTEROPERABILITY
 
 
 
 
 
9.5.1.7
DATA ANNOTATION & TRAINING DATA SERVICES
 
 
 
 
 
 
9.5.1.7.1
HUMAN-IN-THE-LOOP ANNOTATION
 
 
 
 
 
9.5.1.7.2
AUTOMATED LABELING & AUGMENTATION
 
 
 
9.5.2
INTEGRATED SERVICES
 
 
 
 
 
 
9.5.2.1
AI MODEL DEVELOPMENT & DEPLOYMENT
 
 
 
 
 
9.5.2.2
AI MODEL OPTIMIZATION & FINE-TUNING
 
 
 
 
 
9.5.2.3
AI SECURITY & COMPLIANCE SERVICES
 
 
 
 
 
9.5.2.4
AI SOFTWARE DEVELOPMENT SERVICES
 
 
 
 
 
9.5.2.5
SUPPORT & MAINTENANCE SERVICES
 
 
10
SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY (TECHNOLOGY WISE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING AI ADOPTION IN DIVERSE INDUSTRIES)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
 
10.1
INTRODUCTION
 
 
 
 
 
 
10.1.1
TECHNOLOGY: SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET DRIVERS
 
 
 
 
10.2
MACHINE LEARNING
 
 
 
 
 
 
10.2.1
SUPERVISED LEARNING
 
 
 
 
 
10.2.2
UNSUPERVISED LEARNING
 
 
 
 
 
10.2.3
REINFORCEMENT LEARNING
 
 
 
 
10.3
NATURAL LANGUAGE PROCESSING
 
 
 
 
 
 
10.3.1
NATURAL LANGUAGE UNDERSTANDING
 
 
 
 
 
10.3.2
NATURAL LANGUAGE GENERATION
 
 
 
 
10.4
COMPUTER VISION AI
 
 
 
 
 
 
10.4.1
OBJECT DETECTION
 
 
 
 
 
10.4.2
IMAGE CLASSIFICATION
 
 
 
 
 
10.4.3
SEMANTIC SEGMENTATION
 
 
 
 
 
10.4.4
FACIAL RECOGNITION
 
 
 
 
 
10.4.5
OTHER COMPUTER VISION AI
 
 
 
 
10.5
CONTEXT-AWARE ARTIFICIAL INTELLIGENCE
 
 
 
 
 
 
10.5.1
CONTEXT-AWARE RECOMMENDATION SYSTEMS
 
 
 
 
 
10.5.2
MULTI-MODAL AI
 
 
 
 
 
10.5.3
CONTEXT-AWARE VIRTUAL ASSISTANTS
 
 
 
 
10.6
GENERATIVE AI
 
 
 
 
11
SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION (BUSINESS FUNCTION-WISE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING AI ADOPTION IN DIVERSE INDUSTRIES)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
 
11.1
INTRODUCTION
 
 
 
 
 
 
11.1.1
BUSINESS FUNCTION: SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET DRIVERS
 
 
 
 
11.2
MARKETING & SALES
 
 
 
 
 
 
11.2.1
SENTIMENT ANALYSIS
 
 
 
 
 
11.2.2
PREDICTIVE FORECASTING
 
 
 
 
 
11.2.3
CONTENT GENERATION & MARKETING
 
 
 
 
 
11.2.4
AUDIENCE SEGMENTATION & PERSONALIZATION
 
 
 
 
 
11.2.5
CUSTOMER EXPERIENCE MANAGEMENT
 
 
 
 
 
11.2.6
OTHER MARKETING & SALES FUNCTIONS
 
 
 
 
11.3
HUMAN RESOURCES
 
 
 
 
 
 
11.3.1
ONBOARDING AUTOMATION
 
 
 
 
 
11.3.2
CANDIDATE SCREENING & RECRUITMENT
 
 
 
 
 
11.3.3
PERFORMANCE MANAGEMENT
 
 
 
 
 
11.3.4
WORKFORCE MANAGEMENT
 
 
 
 
 
11.3.5
EMPLOYEE FEEDBACK ANALYSIS
 
 
 
 
 
11.3.6
OTHER HUMAN RESOURCES FUNCTIONS
 
 
 
 
11.4
FINANCE & ACCOUNTING
 
 
 
 
 
 
11.4.1
FINANCIAL PLANNING & FORECASTING
 
 
 
 
 
11.4.2
AUTOMATED BOOKKEEPING & RECONCILIATION
 
 
 
 
 
11.4.3
PROCUREMENT & SUPPLY CHAIN FINANCE
 
 
 
 
 
11.4.4
REVENUE CYCLE MANAGEMENT
 
 
 
 
 
11.4.5
FINANCIAL COMPLIANCE & REGULATORY REPORTING
 
 
 
 
 
11.4.6
OTHER FINANCE & ACCOUNTING FUNCTIONS
 
 
 
 
11.5
OPERATIONS & SUPPLY CHAIN
 
 
 
 
 
 
11.5.1
AIOPS
 
 
 
 
 
11.5.2
IT SERVICE MANAGEMENT
 
 
 
 
 
11.5.3
DEMAND PLANNING & FORECASTING
 
 
 
 
 
11.5.4
PROCUREMENT & SOURCING
 
 
 
 
 
11.5.5
WAREHOUSE & INVENTORY MANAGEMENT
 
 
 
 
 
11.5.6
PRODUCTION PLANNING & SCHEDULING
 
 
 
 
 
11.5.7
OTHER OPERATIONS & SUPPLY CHAIN FUNCTIONS
 
 
 
 
11.6
OTHER BUSINESS FUNCTIONS
 
 
 
 
12
SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET, BY ENTERPRISE APPLICATION (ENTERPRISE APPLICATION-WISE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING AI ADOPTION IN DIVERSE INDUSTRIES)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
 
12.1
INTRODUCTION
 
 
 
 
 
 
12.1.1
ENTERPRISE APPLICATION: SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET DRIVERS
 
 
 
 
12.2
BFSI
 
 
 
 
 
 
12.2.1
FRAUD DETECTION AND PREVENTION
 
 
 
 
 
12.2.2
RISK ASSESSMENT AND MANAGEMENT
 
 
 
 
 
12.2.3
ALGORITHMIC TRADING
 
 
 
 
 
12.2.4
CREDIT SCORING AND UNDERWRITING
 
 
 
 
 
12.2.5
CUSTOMER SERVICE AUTOMATION
 
 
 
 
 
12.2.6
PERSONALIZED FINANCIAL RECOMMENDATIONS
 
 
 
 
 
12.2.7
INVESTMENT PORTFOLIO MANAGEMENT
 
 
 
 
 
12.2.8
REGULATORY COMPLIANCE MONITORING
 
 
 
 
 
12.2.9
OTHER BFSI APPLICATIONS
 
 
 
 
12.3
RETAIL & E-COMMERCE
 
 
 
 
 
 
12.3.1
PERSONALIZED PRODUCT RECOMMENDATION
 
 
 
 
 
12.3.2
CUSTOMER RELATIONSHIP MANAGEMENT
 
 
 
 
 
12.3.3
VISUAL SEARCH
 
 
 
 
 
12.3.4
VIRTUAL CUSTOMER ASSISTANT
 
 
 
 
 
12.3.5
PRICE OPTIMIZATION
 
 
 
 
 
12.3.6
SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING
 
 
 
 
 
12.3.7
VIRTUAL STORES
 
 
 
 
 
12.3.8
OTHER RETAIL & E-COMMERCE APPLICATIONS
 
 
 
 
12.4
TRANSPORTATION & LOGISTICS
 
 
 
 
 
 
12.4.1
ROUTE OPTIMIZATION
 
 
 
 
 
12.4.2
DRIVER ASSISTANCE SYSTEM
 
 
 
 
 
12.4.3
SEMI-AUTONOMOUS & AUTONOMOUS VEHICLES
 
 
 
 
 
12.4.4
INTELLIGENT TRAFFIC MANAGEMENT
 
 
 
 
 
12.4.5
SMART LOGISTICS AND WAREHOUSING
 
 
 
 
 
12.4.6
SUPPLY CHAIN VISIBILITY AND TRACKING
 
 
 
 
 
12.4.7
FLEET MANAGEMENT
 
 
 
 
 
12.4.8
OTHER TRANSPORTATION AND LOGISTICS APPLICATIONS
 
 
 
 
12.5
GOVERNMENT & DEFENSE
 
 
 
 
 
 
12.5.1
SURVEILLANCE AND SITUATIONAL AWARENESS
 
 
 
 
 
12.5.2
LAW ENFORCEMENT
 
 
 
 
 
12.5.3
INTELLIGENCE ANALYSIS AND DATA PROCESSING
 
 
 
 
 
12.5.4
SIMULATION AND TRAINING
 
 
 
 
 
12.5.5
COMMAND AND CONTROL
 
 
 
 
 
12.5.6
DISASTER RESPONSE AND RECOVERY ASSISTANCE
 
 
 
 
 
12.5.7
E-GOVERNANCE AND DIGITAL CITY SERVICES
 
 
 
 
 
12.5.8
OTHER GOVERNMENT & DEFENSE APPLICATIONS
 
 
 
 
12.6
HEALTHCARE & LIFE SCIENCES
 
 
 
 
 
 
12.6.1
PATIENT DATA AND RISK ANALYSIS
 
 
 
 
 
12.6.2
LIFESTYLE MANAGEMENT AND MONITORING
 
 
 
 
 
12.6.3
PRECISION MEDICINE
 
 
 
 
 
12.6.4
INPATIENT CARE AND HOSPITAL MANAGEMENT
 
 
 
 
 
12.6.5
MEDICAL IMAGING AND DIAGNOSTICS
 
 
 
 
 
12.6.6
DRUG DISCOVERY
 
 
 
 
 
12.6.7
AI-ASSISTED MEDICAL SERVICES
 
 
 
 
 
12.6.8
MEDICAL RESEARCH
 
 
 
 
 
12.6.9
OTHER HEALTHCARE & LIFE SCIENCES APPLICATIONS
 
 
 
 
12.7
TELECOMMUNICATIONS
 
 
 
 
 
 
12.7.1
NETWORK OPTIMIZATION
 
 
 
 
 
12.7.2
NETWORK SECURITY
 
 
 
 
 
12.7.3
CUSTOMER SERVICE AND SUPPORT
 
 
 
 
 
12.7.4
NETWORK ANALYTICS
 
 
 
 
 
12.7.5
INTELLIGENT CALL ROUTING
 
 
 
 
 
12.7.6
NETWORK FAULT PREDICTION
 
 
 
 
 
12.7.7
VIRTUAL NETWORK ASSISTANTS
 
 
 
 
 
12.7.8
VOICE AND SPEECH RECOGNITION
 
 
 
 
 
12.7.9
OTHER TELECOMMUNICATIONS APPLICATIONS
 
 
 
 
12.8
ENERGY & UTILITIES
 
 
 
 
 
 
12.8.1
ENERGY DEMAND FORECASTING
 
 
 
 
 
12.8.2
GRID OPTIMIZATION AND MANAGEMENT
 
 
 
 
 
12.8.3
ENERGY CONSUMPTION ANALYTICS
 
 
 
 
 
12.8.4
SMART METERING AND ENERGY DATA MANAGEMENT
 
 
 
 
 
12.8.5
ENERGY STORAGE OPTIMIZATION
 
 
 
 
 
12.8.6
REAL-TIME ENERGY MONITORING AND CONTROL
 
 
 
 
 
12.8.7
POWER QUALITY MONITORING AND MANAGEMENT
 
 
 
 
 
12.8.8
ENERGY TRADING AND MARKET FORECASTING
 
 
 
 
 
12.8.9
INTELLIGENT ENERGY MANAGEMENT SYSTEMS
 
 
 
 
 
12.8.10
OTHER ENERGY & UTILITIES APPLICATIONS
 
 
 
 
12.12
MANUFACTURING
 
 
 
 
 
 
12.12.1
MATERIAL MOVEMENT MANAGEMENT
 
 
 
 
 
12.12.2
PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION
 
 
 
 
 
12.12.3
PRODUCTION PLANNING
 
 
 
 
 
12.12.4
RECYCLABLE MATERIAL RECLAMATION
 
 
 
 
 
12.12.5
PRODUCTION LINE OPTIMIZATION
 
 
 
 
 
12.12.6
QUALITY CONTROL
 
 
 
 
 
12.12.8
INTELLIGENT INVENTORY MANAGEMENT
 
 
 
 
 
12.12.12
OTHER MANUFACTURING APPLICATIONS
 
 
 
 
12.10
AGRICULTURE
 
 
 
 
 
 
12.10.1
CROP MONITORING AND YIELD PREDICTION
 
 
 
 
 
12.10.2
PRECISION FARMING
 
 
 
 
 
12.10.3
SOIL ANALYSIS AND NUTRIENT MANAGEMENT
 
 
 
 
 
12.10.4
PEST AND DISEASE DETECTION
 
 
 
 
 
12.10.5
IRRIGATION OPTIMIZATION AND WATER MANAGEMENT
 
 
 
 
 
12.10.6
AUTOMATED HARVESTING AND SORTING
 
 
 
 
 
12.10.7
WEED DETECTION AND MANAGEMENT
 
 
 
 
 
12.10.8
WEATHER AND CLIMATE MONITORING
 
 
 
 
 
12.10.9
LIVESTOCK MONITORING AND HEALTH MANAGEMENT
 
 
 
 
 
12.10.10
OTHER AGRICULTURE APPLICATIONS
 
 
 
 
12.11
SOFTWARE & TECHNOLOGY PROVIDERS
 
 
 
 
 
 
12.11.1
CODE GENERATION & AUTO-COMPLETION
 
 
 
 
 
12.11.2
BUG DETECTION & FIXING
 
 
 
 
 
12.11.3
AUTOMATED SOFTWARE TESTING & QA
 
 
 
 
 
12.11.4
AI-POWERED CYBERSECURITY & THREAT DETECTION
 
 
 
 
 
12.11.5
AUTOMATED DEVOPS & CI/CD OPTIMIZATION
 
 
 
 
 
12.11.6
OTHER SOFTWARE & TECHNOLOGY PROVIDERS APPLICATIONS
 
 
 
 
12.12
MEDIA AND ENTERTAINMENT
 
 
 
 
 
 
12.12.1
CONTENT RECOMMENDATION SYSTEMS
 
 
 
 
 
12.12.2
CONTENT CREATION AND GENERATION
 
 
 
 
 
12.12.3
CONTENT COPYRIGHT PROTECTION
 
 
 
 
 
12.12.4
AUDIENCE ANALYTICS AND SEGMENTATION
 
 
 
 
 
12.12.5
PERSONALIZED ADVERTISING
 
 
 
 
 
12.12.6
OTHER MEDIA AND ENTERTAINMENT APPLICATIONS
 
 
 
 
12.13
OTHER ENTERPRISE APPLICATIONS
 
 
 
 
13
SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET, BY END USER (END USER-SPECIFIC ADOPTION DRIVERS, DEMAND DYNAMICS, AND MARKET POTENTIAL ACROSS CONSUMERS AND ENTERPRISES)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
 
13.1
INTRODUCTION
 
 
 
 
 
 
13.1.1
END USER: SAUDI ARABIA ARTIFICIAL INTELLIGENCE MARKET DRIVERS
 
 
 
 
13.2
CONSUMERS
 
 
 
 
 
13.3
ENTERPRISES
 
 
 
 
 
 
13.3.1
BFSI
 
 
 
 
 
 
13.3.1.1
BANKING
 
 
 
 
 
13.3.1.2
FINANCIAL SERVICES
 
 
 
 
 
13.3.1.3
INSURANCE
 
 
 
 
13.3.2
RETAIL & E-COMMERCE
 
 
 
 
 
 
13.3.2.1
CONSUMER GOODS RETAIL
 
 
 
 
 
13.3.2.2
INDUSTRIAL GOODS RETAIL
 
 
 
 
13.3.3
TRANSPORTATION & LOGISTICS
 
 
 
 
 
 
13.3.3.1
RAIL
 
 
 
 
 
13.3.3.2
ROAD
 
 
 
 
 
13.3.3.3
MARINE
 
 
 
 
 
13.3.3.4
AIR
 
 
 
 
13.3.4
GOVERNMENT & DEFENSE
 
 
 
 
 
 
13.3.4.1
FEDERAL GOVERNMENT
 
 
 
 
 
13.3.4.2
STATE & LOCAL GOVERNMENTS
 
 
 
 
 
13.3.4.3
MILITARY & DEFENSE
 
 
 
 
 
13.3.4.4
PUBLIC SERVICE AGENCIES
 
 
 
 
13.3.5
HEALTHCARE & LIFE SCIENCES
 
 
 
 
 
 
13.3.5.1
HEALTHCARE PROVIDERS
 
 
 
 
 
13.3.5.2
PHARMACEUTICALS & BIOTECH SECTOR
 
 
 
 
 
13.3.5.3
MEDTECH
 
 
 
 
13.3.6
TELECOMMUNICATIONS
 
 
 
 
 
 
13.3.6.1
NETWORK OPERATORS
 
 
 
 
 
13.3.6.2
TELECOM EQUIPMENT PROVIDERS
 
 
 
 
 
13.3.6.3
COMMUNICATION SERVICE PROVIDERS (CSPS)
 
 
 
 
 
13.3.6.4
DATA & CLOUD CONNECTIVITY PROVIDERS
 
 
 
 
13.3.7
ENERGY & UTILITIES
 
 
 
 
 
 
13.3.7.1
OIL & GAS
 
 
 
 
 
13.3.7.2
POWER GENERATION
 
 
 
 
 
13.3.7.3
UTILITIES
 
 
 
 
13.3.8
MANUFACTURING
 
 
 
 
 
 
13.3.8.1
DISCRETE MANUFACTURING
 
 
 
 
 
13.3.8.2
PROCESS MANUFACTURING
 
 
 
 
13.3.9
SOFTWARE & TECHNOLOGY PROVIDERS
 
 
 
 
 
 
13.3.9.1
CLOUD HYPERSCALERS
 
 
 
 
 
13.3.9.2
FOUNDATION MODEL/LLM PROVIDERS
 
 
 
 
 
13.3.9.3
AI TECHNOLOGY PROVIDERS
 
 
 
 
 
13.3.9.4
IT & IT-ENABLED SERVICE PROVIDERS (ITES)
 
 
 
 
13.3.13
MEDIA AND ENTERTAINMENT
 
 
 
 
 
 
13.3.13.1
PUBLISHING & JOURNALISM
 
 
 
 
 
13.3.13.2
TELEVISION, FILM & OTT
 
 
 
 
 
13.3.13.3
MUSIC & AUDIO
 
 
 
 
 
13.3.13.4
GAMING & INTERACTIVE MEDIA
 
 
 
 
 
13.3.13.5
ADVERTISING & MARKETING AGENCIES
 
 
 
 
 
13.3.13.6
OTHER MEDIA & ENTERTAINMENT ENTERPRISES
 
 
 
 
13.3.11
OTHER ENTERPRISES
 
 
 
14
COMPETITIVE LANDSCAPE (STRATEGIC ASSESSMENT OF LEADING PLAYERS, MARKET SHARE, REVENUE ANALYSIS, COMPANY POSITIONING, AND COMPETITIVE BENCHMARKS INFLUENCING MARKET POTENTIAL)
 
 
 
 
 
 
14.1
OVERVIEW
 
 
 
 
 
14.2
KEY PLAYER STRATEGIES, 2020–2024
 
 
 
 
 
14.3
REVENUE ANALYSIS, 2020–2024
 
 
 
 
 
 
14.4
MARKET SHARE ANALYSIS,
 
 
 
 
 
 
 
14.4.1
MARKET RANKING ANALYSIS,
 
 
 
 
14.5
PRODUCT COMPARATIVE ANALYSIS
 
 
 
 
 
 
14.5.1
PRODUCT COMPARATIVE ANALYSIS, BY MACHINE LEARNING
 
 
 
 
 
14.5.2
PRODUCT COMPARATIVE ANALYSIS, BY NATURAL LANGUAGE PROCESSING
 
 
 
 
 
14.5.3
PRODUCT COMPARATIVE ANALYSIS, BY COMPUTER VISION
 
 
 
 
14.6
COMPANY VALUATION AND FINANCIAL METRICS
 
 
 
 
 
14.7
COMPANY EVALUATION MATRIX: KEY PLAYERS (AI INFRASTRUCTURE),
 
 
 
 
 
 
 
14.7.1
STARS
 
 
 
 
 
14.7.2
EMERGING LEADERS
 
 
 
 
 
14.7.3
PERVASIVE PLAYERS
 
 
 
 
 
14.7.4
PARTICIPANTS
 
 
 
 
 
14.7.5
COMPANY FOOTPRINT: KEY PLAYERS (AI INFRASTRUCTURE),
 
 
 
 
 
 
14.7.5.1
COMPANY FOOTPRINT
 
 
 
 
 
14.7.5.2
OFFERING FOOTPRINT
 
 
 
 
 
14.7.5.3
TECHNOLOGY FOOTPRINT
 
 
 
 
 
14.7.5.4
ENTERPRISE APPLICATION FOOTPRINT
 
 
 
14.8
COMPANY EVALUATION MATRIX: KEY PLAYERS (AI SOFTWARE),
 
 
 
 
 
 
 
14.8.1
STARS
 
 
 
 
 
14.8.2
EMERGING LEADERS
 
 
 
 
 
14.8.3
PERVASIVE PLAYERS
 
 
 
 
 
14.8.4
PARTICIPANTS
 
 
 
 
 
14.8.5
COMPANY FOOTPRINT: KEY PLAYERS (AI SOFTWARE),
 
 
 
 
 
 
14.8.5.1
COMPANY FOOTPRINT
 
 
 
 
 
14.8.5.2
OFFERING FOOTPRINT
 
 
 
 
 
14.8.5.3
TECHNOLOGY FOOTPRINT
 
 
 
 
 
14.8.5.4
ENTERPRISE APPLICATION FOOTPRINT
 
 
 
14.9
COMPANY EVALUATION MATRIX: KEY PLAYERS (AI SERVICES),
 
 
 
 
 
 
 
14.9.1
STARS
 
 
 
 
 
14.9.2
EMERGING LEADERS
 
 
 
 
 
14.9.3
PERVASIVE PLAYERS
 
 
 
 
 
14.9.4
PARTICIPANTS
 
 
 
 
 
14.9.5
COMPANY FOOTPRINT: KEY PLAYERS (AI SERVICES),
 
 
 
 
 
 
14.9.5.1
COMPANY FOOTPRINT
 
 
 
 
 
14.9.5.2
OFFERING FOOTPRINT
 
 
 
 
 
14.9.5.3
TECHNOLOGY FOOTPRINT
 
 
 
 
 
14.9.5.4
ENTERPRISE APPLICATION FOOTPRINT
 
 
 
14.10
COMPANY EVALUATION MATRIX: STARTUPS/SMES,
 
 
 
 
 
 
 
14.10.1
STARTUPS/SMES – AI SOFTWARE PLAYERS
 
 
 
 
 
 
14.10.1.1
PROGRESSIVE COMPANIES
 
 
 
 
 
14.10.1.2
RESPONSIVE COMPANIES
 
 
 
 
 
14.10.1.3
DYNAMIC COMPANIES
 
 
 
 
 
14.10.1.4
STARTING BLOCKS
 
 
 
 
14.10.2
STARTUPS/SMES – AI SERVICES PROVIDERS
 
 
 
 
 
 
14.10.2.1
PROGRESSIVE COMPANIES
 
 
 
 
 
14.10.2.2
RESPONSIVE COMPANIES
 
 
 
 
 
14.10.2.3
DYNAMIC COMPANIES
 
 
 
 
 
14.10.2.4
STARTING BLOCKS
 
 
 
 
14.10.3
COMPETITIVE BENCHMARKING: STARTUPS/SMES,
 
 
 
 
 
 
14.10.3.1
DETAILED LIST OF KEY STARTUPS/SMES
 
 
 
 
 
14.10.3.2
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
 
 
 
14.14
COMPETITIVE SCENARIO AND TRENDS
 
 
 
 
 
 
14.14.1
PRODUCT LAUNCHES AND ENHANCEMENTS
 
 
 
 
 
14.14.2
DEALS
 
 
 
15
COMPANY PROFILES (IN-DEPTH REVIEW OF COMPANIES, PRODUCTS, SERVICES, RECENT INITIATIVES, AND POSITIONING STRATEGIES IN THE U.S. AI MARKET LANDSCAPE)
 
 
 
 
 
 
15.1
INTRODUCTION
 
 
 
 
 
15.2
MAJOR PLAYERS
 
 
 
 
 
 
15.2.1
NVIDIA
 
 
 
 
 
15.2.2
MICROSOFT
 
 
 
 
 
15.2.3
AWS
 
 
 
 
 
15.2.4
GOOGLE
 
 
 
 
 
15.2.5
IBM
 
 
 
 
 
15.2.6
SAS INSTITUTE
 
 
 
 
 
15.2.7
ORACLE
 
 
 
 
 
15.2.8
SAP
 
 
 
 
 
15.2.9
HPE
 
 
 
 
 
15.2.10
SALESFORCE
 
 
 
 
 
15.2.11
META
 
 
 
 
 
15.2.12
CODIANT
 
 
 
 
 
15.2.13
SUFFESCOM SOLUTIONS
 
 
 
 
15.3
STARTUP/SME PROFILES
 
 
 
 
 
 
15.3.1
MOZN
 
 
 
 
 
15.3.2
LUCIDYA
 
 
 
 
 
15.3.3
SCAI
 
 
 
 
 
15.3.4
INTELLA
 
 
 
 
 
15.3.5
DEEP.SA
 
 
 
 
 
15.3.6
KNOWTIFIED
 
 
 
 
 
15.3.7
LISAN
 
 
 
 
 
15.3.8
SOLUTIONS BY STC
 
 
 
 
 
15.3.9
HUMAIN
 
 
 
 
 
15.3.10
EYEGO
 
 
 
16
RESEARCH METHODOLOGY
 
 
 
 
 
 
16.1
RESEARCH DATA
 
 
 
 
 
 
16.1.1
SECONDARY DATA
 
 
 
 
 
 
16.1.1.1
MAJOR SECONDARY SOURCES
 
 
 
 
 
16.1.1.2
KEY DATA FROM SECONDARY SOURCES
 
 
 
 
16.1.2
PRIMARY DATA
 
 
 
 
 
 
16.1.2.1
KEY DATA FROM PRIMARY SOURCES
 
 
 
 
 
16.1.2.2
KEY PRIMARY PARTICIPANTS
 
 
 
16.2
MARKET SIZE ESTIMATION
 
 
 
 
 
 
16.2.1
BOTTOM-UP APPROACH
 
 
 
 
 
16.2.2
TOP-DOWN APPROACH
 
 
 
 
16.3
MARKET FORECAST APPROACH
 
 
 
 
 
 
16.3.1
DEMAND SIDE
 
 
 
 
 
16.3.2
SUPPLY SIDE
 
 
 
 
16.4
DATA TRIANGULATION
 
 
 
 
 
16.5
FACTOR ANALYSIS
 
 
 
 
 
16.6
RESEARCH ASSUMPTIONS AND LIMITATIONS
 
 
 
 
 
16.7
RISK ASSESSMENT
 
 
 
 
17
APPENDIX
 
 
 
 
 
 
17.1
DISCUSSION GUIDE
 
 
 
 
 
17.2
KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
 
 
 
 
 
17.3
AVAILABLE CUSTOMIZATION
 
 
 
 
 
17.4
RELATED REPORTS
 
 
 
 
 
17.5
AUTHOR DETAILS
 
 
 
 
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Growth opportunities and latent adjacency in Saudi Arabia Artificial Intelligence (AI) Market

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