Usetech Showcases Innovation and Industry Insights at GITEX GLOBAL 2025

Usetech once again demonstrated its commitment to technological excellence and thought leadership by participating in GITEX GLOBAL 2025, one of the world’s premier technology exhibitions. Bringing together more than 6,500 participants from over 180 countries at the Dubai World Trade Centre (DWTC), the event served as a dynamic platform for sharing ideas, exploring emerging trends, and fostering international collaboration across the technology ecosystem.

From October 13 to 17, Usetech’s team engaged with industry leaders, partners, and innovators to discuss the evolving digital landscape and the role of cutting-edge technologies in shaping the future of business.

For the third consecutive year, Usetech was part of this influential event, highlighting the company’s dedication to driving innovation, developing AI-powered solutions, and contributing to the global dialogue on digital transformation.

As part of its participation, Usetech conducted a survey among 30 companies, gathering insights on the most influential technology trends for the next three to five years, the development and risks of artificial intelligence, and the growth potential of the Middle Eastern market.

The survey findings and detailed insights are presented below.

1. Which technology trends do you believe will have the biggest impact on business in the next 3–5 years?

As we move into the second half of 2025 and look ahead to 2026, the technology landscape is entering a period of consolidation and strategic deployment. Organizations are shifting from experimentation to embedding advanced technologies into core business processes, infrastructure, and enterprise workflows. 

Several key technology vectors are expected to lead this period: Artificial Intelligence (AI) and automation, next-generation connectivity and edge/IoT infrastructure, immersive/extended reality and spatial computing, sustainable infrastructure and green technologies, autonomous systems and robotics, and data governance, cybersecurity, and resilience.

In addition, many noted the development of Computer Vision and Digital Twins across various industries, namely retail and fintech.

2. How do you assess the current state of AI?

96.8% note that AI is already transforming numerous industries and will continue to do so in the coming years. At the same time, 25.8% believe that AI is having an impact, but not yet a strong enough one. This is particularly noted in industries such as education, for example. Respondents emphasized that AI undoubtedly influences human life and professional activity, yet it still cannot fully replace humans. AI can serve as an assistant and companion, but human involvement in decision-making and problem-solving remains a priority.

3. In which areas is AI most effective today?

90.3% note that AI is in high demand in the banking sector, particularly in the following areas:

• Credit risk assessment – analyzing clients’ financial profiles to determine creditworthiness.
• Fraud detection and prevention – identifying suspicious transactions in real time.
• Customer service automation – chatbots and virtual assistants for inquiries and support.
• Personalized financial recommendations – offering tailored investment or savings advice.
• Process optimization and cost reduction – automating routine operations like document processing and compliance checks.

The retail industry ranks second in terms of popularity. 74.2% note the effectiveness of AI in the following areas:

• Customer behavior analysis – studying buying patterns and preferences.
• Personalized recommendations – tailoring offers and promotions to individual shoppers.
• Inventory and logistics management – optimizing stock levels and supply chain operations.
• Computer vision for “smart” cashier-less stores – enabling automated checkout and in-store monitoring.

AI is developing quite actively in the oil and gas industry and is applied at various stages of exploration, production, and logistics. This is the view of 51.6% of the respondents. Here are the main areas:

• Seismic analysis and modeling – AI processes large volumes of geological data to identify promising reserves.
  
• Drilling optimization – predicting the optimal well trajectory and reducing the risk of accidents.
  
• Equipment condition monitoring – predictive maintenance of pumps, compressors, and drilling rigs.
  
• Process optimization at refineries – AI helps regulate temperature, pressure, and mixture composition to increase output.
  
• Quality control – real-time analysis of oil and gas chemical composition.
  
• Energy efficiency – predicting and reducing energy losses in production.
  
• Transportation route optimization – minimizing costs and delivery time.
  
• Pipeline monitoring – detecting leaks and corrosion using sensors and AI algorithms.
  
• Emission reduction and environmental monitoring – predicting and controlling environmental risks.
  
• Financial analysis – forecasting oil and gas prices, optimizing procurement and sales.

4. What challenges or risks related to AI and automation do you consider most critical?

The main concerns people have about using AI can be divided into several categories:

Ethics and Control (38.7%)

• Loss of control over decisions made by AI.
  
• Ethical questions: how AI makes decisions, especially in healthcare, justice, or security.
  
• Use of AI for manipulation (e.g., deepfakes or targeted advertising).

Privacy and Data Security (90.3%)

• Collection and storage of personal data without consent.
  
• Risk of confidential information leaks.
  
• Potential for cyberattacks using AI.

Accuracy and Reliability (25.8%)

• Errors in AI medical diagnoses, financial forecasts, and other critical areas.
  
• Lack of algorithm transparency (the “black-box” problem).
  
• Potential bias and discrimination in AI decisions.

5. What opportunities do you see for the Middle East in global technological change?

The majority note that the Middle East will become a regional technology hub, which aligns with the region’s development strategy.