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Strategic Insights into MENA Digital Twins Market: Emphasis on Urban Traffic and Energy Planning in Dubai, Autonomous Industrial Twins in Saudi Arabia, and LNG Predictive Maintenance in Qatar

12-04-2025 12:18 PM CET | Energy & Environment

Press release from: DataM Intelligence 4market Research LLP

MENA Digital Twins Market

MENA Digital Twins Market

The MENA Digital Twins Market reached US$ 252.5 Million in 2023 and is expected to reach US$ 10,785.3 Million by 2031, growing with a CAGR of 59.9% during the forecast period 2024-2031.

According to DataM Intelligence has published a new research report on "MENA Digital Twins Market Size 2025". The report explores comprehensive and insightful Information about various key factors like Regional Growth, Segmentation, CAGR, Business Revenue Status of Top Key Players and Drivers. The purpose of this report is to provide a telescopic view of the current market size by value and volume, opportunities, and development status.

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➣ Recent Developments:

MENA Region: Recent Industry Developments - Digital Twins
✅ August 2025 - United Arab Emirates:
Dubai expanded its Smart City program by deploying urban digital twin platforms for real-time traffic optimization, energy planning, and emergency response simulation across major districts.

✅ July 2025 - Saudi Arabia:
NEOM launched a next-generation industrial digital twin ecosystem to model utilities, mobility systems, and manufacturing sites-aiming for fully autonomous, AI-driven city operations.

✅ June 2025 - Qatar:
Qatar Energy adopted digital twin models for LNG plants, enabling predictive maintenance, asset integrity monitoring, and efficiency optimization across upstream and midstream operations.

🏭 Industrial, Energy & Infrastructure - Key Advancements in MENA
✅ Major oil & gas operators in the region implemented 3D asset digital twins for refineries and offshore platforms, reducing downtime and improving safety.

✅ Construction megaprojects across MENA adopted BIM-integrated digital twins to enhance project visualization, lifecycle management, and sustainability reporting.

✅ Power utilities began rolling out grid digital twins to support load forecasting, renewable integration, and resilience planning.

🧠 Technology Trends Accelerating MENA Digital Twin Adoption
🔹 Integration of AI, machine learning, and real-time IoT data
🔹 Cloud-based and hybrid deployment models
🔹 Growing cybersecurity frameworks for critical infrastructure
🔹 Expansion of metaverse-linked industrial visualization tools

➣ Top Industry Players:

Cadmatic, Bluebeam, Inc., Cavendish Group International Ltd., Bureau Veritas, Altair Engineering Inc., Twyn, ABB, Ansys Inc., Autodesk Inc. and IBM Corporation.

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➣ Key Segments:

By Deployment: Cloud-based, On-Premise

By Technology: IoT (Internet of Things) Technology, Artificial Intelligence (AI) and Machine Learning, Augmented Reality (AR) and Virtual Reality (VR), Others

By Application: Predictive Maintenance, Business Optimization, Performance Monitoring, Inventory Management, Others

By End-User: Manufacturing, Healthcare, Automotive and Transportation, Aerospace and Defense, Energy and Utilities, Smart Cities and Infrastructure, Others

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Contact Us -

Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -

DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.

Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.

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