Saudi Arabia AI in Agriculture Market, By Component (Hardware, Software, Services); By Technology (Machine Learning (ML), Computer Vision, Predictive Analytics, Natural Language Processing (NLP)); By Deployment (Cloud, On-Premises, Hybrid); By Applica

Saudi Arabia AI in Agriculture Market Size to Surpass USD 2.6 Billion by 2031

Saudi Arabia AI in Agriculture Market is booming primarily due to the Kingdom’s increasing focus on strengthening its food security by boosting food production, increasingly supportive initiatives and funding, and the growing adoption of artificial intelligence (AI) in agriculture.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated Saudi Arabia AI in Agriculture Market size by value at USD 1.78 billion in 2024. During the forecast period between 2025 and 2031, BlueWeave expects Saudi Arabia AI in Agriculture Market size to expand at a CAGR of 5.7% reaching a value of USD 2.63 billion by 2031. The growth of AI in Saudi Arabia Agriculture Market is propelled by the AI technology’s increasing role in addressing pressing challenges like climate change and the rising demand for food products. With the limited arable land, AI integration becomes essential for scaling food production in the Kingdom. AI, supported by IoT and big data, is transforming agriculture through enhanced crop monitoring, precision farming, predictive analytics, and yield optimization. Rapid adoption of innovations like AI-powered drones, robots, and wireless sensors are deployed for tasks, such as predictive analysis, pest detection, and soil monitoring. Collaborations such as Microsoft's AI Sowing App and initiatives exemplify AI's transformative impact, improving efficiency and predicting harvest yields. The widespread adoption of AI not only enhances operational efficiency but also drives the demand for IoT devices, solidifying AI's role in sustainable agriculture across Saudi Arabia during the period in analysis.

Opportunity – Developing AI applications for Precision Farming

As the food demand escalates, the need for efficient farming methods becomes increasingly critical to maximize production on limited land. Artificial Intelligence (AI) is at the forefront of the agricultural revolution, transforming traditional practices across vertical farming, aquaculture, and livestock management. AI-driven applications are tailored to each sector's unique challenges, from monitoring crop health and automating feeding systems in vertical farms, to check water quality and fish health in aquaculture, and implementing precision feeding and health monitoring in livestock management. These advancements help not only in enhancing operational efficiency but also promoting sustainable farming practices, crucial for meeting future food demands while minimizing environmental impact.

Impact of Escalating Geopolitical Tensions on Saudi Arabia AI in Agriculture Market

Intensifying geopolitical tensions could have a multifaceted impact on Saudi Arabia AI in Agriculture Market. Conflicts between countries across the Middle East region could disrupt supply chains, impede international collaborations, and heighten regulatory uncertainties, leading to market volatility in Saudi Arabia. Countries suffering from instability may prioritize domestic food security over technological imports, thereby altering market dynamics and growth trajectories. Moreover, increased uncertainties may erode investor confidence, thereby restricting funding for AI innovations in agriculture. As geopolitical tensions continue, strategic partnerships and regulatory frameworks assume critical roles in navigating the evolving landscape of AI adoption in agriculture worldwide.

Competitive Landscape

Key players dominating Saudi Arabia AI in Agriculture Market include The Saudi Company for Artificial Intelligence (SCAI), Microsoft Corporation, IBM Corporation, PrecisionHawk Inc, Cainthus Corp, CropX Inc., Oracle, Deere & Company, FarmHQ, and AgEagle Aerial Systems Inc. The key marketing strategies adopted by the players are facility expansion, product diversification, alliances, collaborations, partnerships, and acquisitions to expand their customer reach and gain a competitive edge in the overall market.

The report's in-depth analysis provides information about growth potential, upcoming trends, and Saudi Arabia AI in Agriculture Market statistics. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Saudi Arabia AI in Agriculture Market along with industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyses the growth drivers, challenges, and competitive dynamics of the market.


1. Research Framework
1.1. Research Objective
1.2. Product Overview
1.3. Market Segmentation
2. Executive Summary
3. Saudi Arabia AI in Agriculture Market Insights
3.1. Industry Value Chain Analysis
3.2. DROC Analysis
3.2.1. Growth Drivers
3.2.1.1. Increasing focus on enhancing food security
3.2.1.2. Government’s supportive initiatives and funding
3.2.1.3. Rapid adoption of technological advancements
3.2.2. Restraints
3.2.2.1. Requirement of high initial investments
3.2.2.2. Limited technical expertise
3.2.3. Opportunities
3.2.3.1. Development of new AI applications for farming and allied practices
3.2.3.2. Focus on improving supply chain management
3.2.4. Challenges
3.2.4.1. Integration with existing systems
3.2.4.2. Regulatory and ethical issues
3.2.4.3. Data privacy and security concerns
3.2.5. Technological Advancements/Recent Developments
3.3. Regulatory Framework
3.4. Porter’s Five Forces Analysis
3.4.1. Bargaining Power of Suppliers
3.4.2. Bargaining Power of Buyers
3.4.3. Threat of New Entrants
3.4.4. Threat of Substitutes
3.4.5. Intensity of Rivalry
4. Saudi Arabia AI in Agriculture Market: Marketing Strategies
5. Saudi Arabia AI in Agriculture Market: Pricing Analysis
6. Saudi Arabia AI in Agriculture Market Overview
6.1. Market Size & Forecast, 2019–2031
6.1.1. By Value (USD Billion)
6.2. Market Share and Forecast
6.2.1. By Component
6.2.1.1. Hardware
6.2.1.2. Software
6.2.1.3. Service
6.2.2. By Technology
6.2.2.1. Machine Learning
6.2.2.2. Computer Vision
6.2.2.3. Predictive Analytics
6.2.2.4. Natural Language Processing (NLP)
6.2.3. By Deployment
6.2.3.1. Cloud
6.2.3.2. On-Premises
6.2.3.3. Hybrid
6.2.4. By Applications
6.2.4.1. Precision Farming
6.2.4.2. Livestock Monitoring
6.2.4.3. Drone Analytics
6.2.4.4. Agriculture Robots
6.2.4.5. Labor Management
6.2.4.6. Crop Management
6.2.4.7. Irrigation Management
6.2.4.8. Others
7. Competitive Landscape
7.1. List of Key Players and Their Applications
7.2. Saudi Arabia AI in Agriculture Company Market Share Analysis, 2023
7.3. Competitive Benchmarking, By Operating Parameters
7.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)
8. Impact of Escalating Geopolitical Tensions on Saudi Arabia AI in Agriculture Market
9. Company Profiles (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, SWOT Analysis)
9.1. The Saudi Company for Artificial Intelligence (SCAI)
9.2. Microsoft Corporation
9.3. IBM Corporation
9.4. PrecisionHawk Inc.
9.5. Cainthus Corp.
9.6. CropX Inc.
9.7. Oracle
9.8. Deere & Company
9.9. FarmHQ
9.10. AgEagle Aerial Systems Inc.
9.11. Other Prominent Players
10. Key Strategic Recommendations
11. Research Methodology
11.1. Qualitative Research
11.1.1. Primary & Secondary Research
11.2. Quantitative Research
11.3. Market Breakdown & Data Triangulation
11.3.1. Secondary Research
11.3.2. Primary Research
11.4. Breakdown of Primary Research Respondents, By Region
11.5. Assumptions & Limitations
*Financial information of non-listed companies can be provided as per availability.
**The segmentation and the companies are subject to modifications based on in-depth secondary research for the final deliverable
List of Figures
Figure 1 Saudi Arabia AI in Agriculture Market Segmentation
Figure 2 Saudi Arabia AI in Agriculture Market Value Chain Analysis
Figure 3 Company Market Share Analysis, 2023
Figure 4 Saudi Arabia AI in Agriculture Market Size, By Value (USD Billion), 2019−2031
Figure 5 Saudi Arabia AI in Agriculture Market Share, By Component, By Value (USD Billion), 2019−2031
Figure 6 Saudi Arabia AI in Agriculture Market Share, By Technology, By Value (USD Billion), 2019−2031
Figure 7 Saudi Arabia AI in Agriculture Market Share, By Deployment, By Value (USD Billion), 2019−2031
Figure 8 Saudi Arabia AI in Agriculture Market Share, By Applications, By Value (USD Billion), 2019−2031
List of Tables
Table 1 Saudi Arabia AI in Agriculture Market Size, By Component, By Value (USD Billion), 2019−2031
Table 2 Saudi Arabia AI in Agriculture Market Size, By Technology, By Value (USD Billion), 2019−2031
Table 3 Saudi Arabia AI in Agriculture Market Size, By Deployment, By Value (USD Billion), 2019−2031
Table 4 Saudi Arabia AI in Agriculture Market Size, By Applications, By Value (USD Billion), 2019−2031
Table 5 The Saudi Company for Artificial Intelligence (SCAI) Company Overview
Table 6 The Saudi Company for Artificial Intelligence (SCAI) Financial Overview
Table 7 Microsoft Corporation Company Overview
Table 8 Microsoft Corporation Financial Overview
Table 9 IBM Corporation Company Overview
Table 10 IBM Corporation Financial Overview
Table 11 PrecisionHawk Inc. Company Overview
Table 12 PrecisionHawk Inc. Financial Overview
Table 13 Cainthus Corp. Company Overview
Table 14 Cainthus Corp. Financial Overview
Table 15 CropX Inc. Company Overview
Table 16 CropX Inc. Financial Overview
Table 17 Oracle Inc. Company Overview
Table 18 Oracle Inc. Financial Overview
Table 19 Deere & Company Overview
Table 20 Deere & Company Financial Overview
Table 21 FarmHQ Company Overview
Table 22 FarmHQ Financial Overview
Table 23 AgEagle Aerial Systems Inc Company Overview
Table 24 AgEagle Aerial Systems Inc Financial Overview

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