Innovative Edge AI solution from TMA

Edge AI is artificial intelligence that runs directly on edge devices. It processes data instantly without sending it back to a central server. Because of this speed and stability, it is becoming a preferred choice for global businesses in manufacturing, logistics, healthcare, and smart city projects.

As a result, the demand for Edge AI solutions from Vietnam is rising. This creates new opportunities for partnerships with providers that have strong R&D capabilities and proven real-world experience.

1. Why Vietnam for Edge AI Development?

When global companies look for a place to develop and deploy Edge AI solutions, Vietnam is quickly becoming a standout destination thanks to the following advantages:

• Young tech talent and competitive costs: Vietnam has a fast-growing pool of engineers, AI developers, and data scientists. Many of them are trained at top universities or through international programs. Labor and operating costs in Vietnam are about 20–30% lower than in developed markets. This helps businesses run pilot projects and scale solutions with lower financial risk.
• Strong policy support and fast-improving tech infrastructure: The Vietnamese government has launched a national strategy for AI research, development, and adoption through 2030. The goal is to strengthen the country’s position in the region. Vietnam is also investing heavily in data infrastructure, data centers, and high-tech zones. These investments create a solid foundation for Edge AI solutions that require low latency and on-device processing.
• Large domestic market and gateway to ASEAN: AI adoption in Vietnam is rising quickly across many industries. According to the report “Vietnam Artificial Intelligence Market Outlook 2030” by Research and Markets, the AI market in Vietnam may reach USD 1.52 billion by 2030, with an average growth rate (CAGR) of 18.4% from 2024 to 2030. Vietnam is also a strategic gateway to ASEAN, where many global companies need localized but scalable technology solutions.
• Opportunities in niche Edge AI segments: Vietnam is encouraged to avoid direct competition with global giants in core AI research (such as LLMs). Instead, the country can focus on industry-specific applications like manufacturing, logistics, and healthcare. These areas fit well with Edge AI, which requires on-device processing and offers high practical value. Vietnam also has strong potential thanks to its fast-growing industrial and logistics sectors.

Vietnam is becoming a new Edge AI hub in the region, supported by strong technology capabilities and a high-quality workforce.

2. How to Choose the Best Edge AI Solutions from Vietnam

To make sure your investment in Edge AI solutions from Vietnam brings real value, you need clear criteria when choosing a partner. Below are three key factors that help your business make the right decision.

2.1. Defining Your Use Case and Technical Requirements

Before choosing an Edge AI solution, a business needs to define a clear use case. For example: real-time image processing, sensor monitoring, or on-device data analytics. A clear goal helps avoid using a generic solution that does not fit. When the business knows the target (manufacturing, logistics, healthcare, smart city…), it saves cost, time, and improves results.

What to consider:

• Define the application goal: Clarify the problem your business wants to solve. It may be real-time machine monitoring, predictive maintenance, or remote patient monitoring.
• Technical requirements: State the acceptable latency, data frequency, processing capacity at the edge, and security needs.
• Hardware & software needs: Check if the solution must connect with cameras, sensors, or IoT gateways. Decide whether you need an edge GPU or constant cloud connection.
• Scalability: Review how many devices you will deploy, where they will be installed, and how you plan to expand in the future.
• KPIs: Set clear metrics such as error reduction rate, processing time saved, or productivity improvement.

2.2. Evaluating the Technical Capabilities of Vietnamese Providers

Technical capability affects the accuracy, performance, and stability of an Edge AI solution. Choosing the wrong partner may lead to security risks, high maintenance costs, or poor system compatibility. That is why you need to assess their R&D skills, deployment experience, and multi-platform integration ability.

What to review:

• Team experience and capability: Choose a provider with many years of experience and engineers who specialize in Edge AI, IoT, and on-device data processing. For example, TMA Solutions has more than 27 years of experience and 4,000 engineers working in AI, IoT, and robotics.
• R&D infrastructure and deployment process: Select a vendor with a real R&D center and a clear implementation process to ensure quality control at every stage. TMA currently operates 10 solution and technology centers, including an AI Center, IoT Center, and Healthtech Center.
• Certificates and industry recognition: Check international certifications, quality standards, and awards. Prefer partners with certifications such as ISO 9001, ISO/IEC 27001, or CMMI Level 5. TMA has also been recognized by VINASA as one of the Top 10 Digital Technology Companies 2024 and Top 10 AIoT Enterprises in Vietnam 2024.
• Customization and deployment support: Choose a partner that can provide end-to-end Edge AI solutions, from design and development to integration, maintenance, and optimization, ensuring the solution works seamlessly within your existing systems.
• International partnerships and multi-platform compatibility: Review the provider’s global cooperation and their ability to work with different hardware and software platforms.

2.3. Scrutinizing Real-World Applications and Case Studies

In AI in general, and Edge AI in particular, technical ability is only proven when the solution works well in complex real-world environments. Real case studies show that a provider must not only research, but also turn AI models into real business value. This value may include lower costs, lower latency, or better data security.

Key points to review

• How practical the deployed projects are, and whether they match your industry.
• Measurable results, such as cost savings, processing speed, or model accuracy.
• The ability to scale and stay stable when integrated into your current system.

In Vietnam, many companies have shown strong Edge AI capabilities through real projects. TMA Solutions is one of the notable providers.

Example Use Cases

• Healthcare – Real-time Patient Monitoring: TMA’s Edge AI analyzes vital signs in real time. It helps doctors detect early issues without relying on cloud connectivity.
• Manufacturing – Predictive Maintenance: Edge-based sensors collect machine data and predict failures. This helps reduce downtime by up to 30%.
• Retail – Personalized Customer Service: AI cameras detect customer behavior inside the store. This supports real-time personalized shopping experiences.
• Logistics – Real-time Tracking & Route Optimization: Edge AI helps optimize routes and track vehicles in real time. Companies can save fuel and shorten delivery time.

3. Best 5 edge AI company In 2025

As Edge AI solutions become a key investment focus worldwide, it is important for businesses to identify the leading developers in this field. The list below highlights notable Edge AI companies in 2025.

3.1. TMA Solutions

Experience: TMA was founded in 1997. The company has more than 27 years of experience in software, IoT, and AI in Vietnam.

Technology capabilities: TMA Solutions runs several specialized centers, including IoT, AI, Healthtech, and Robotics. The company also launched an “AI as a Service (AIaaS)” program with True IDC. This helps clients deploy AI solutions on the cloud quickly, which is suitable for Edge AI applications.

Team size: TMA has around 4,000 full-time engineers. The company works with international clients from more than 30 countries.

Achievements:

• Awarded “Top 10 Software Outsourcing/Fintech/AIoT Enterprises” by VINASA in 2022.
• Recently joined the “Korea–Vietnam Digital Innovation Forum 2025,” sharing over 100 real-world AI solutions.

Key Projects of TMA Solutions

• Edge Monitoring System (T-Cam): TMA worked with ADLINK Technology to launch T-Cam (Edge AI Surveillance). The solution runs on the Jetson Xavier NX device and processes video directly at the edge, without sending data to the cloud. It supports intrusion detection, license plate reading, smoke and fire detection, people/vehicle counting, and danger alerts. IP cameras send video to the edge device, where the AI model analyzes it and sends only important alerts to the central system. The project helps improve real-time response, reduce cloud bandwidth, and keep sensitive data secure.
• Manufacturing – Vision at the Edge:  TMA joined the event “AI-Powered Vision at the Edge” and introduced AI solutions for smart manufacturing. Sensors and cameras work with AI models to detect defects early. The system processes data at the edge and sends alerts when issues appear. This reduces downtime, improves product quality, and increases the rate of approved items on the product line. 
• Healthtech – Telehealth & Real-Time Monitoring: At PHARMED & HEALTHCARE VIETNAM 2025, TMA presented the solution “AI Assistant – Enhancing Telehealth with AI”. Edge devices collect patient data such as heart rate, blood pressure, and movement. AI models process data locally or nearby to detect early signs of health problems and send alerts to doctors or emergency teams. The solution improves remote patient monitoring, reduces medical response time, and supports better overall care. 

TMA Solutions Honored as One of Vietnam’s Leading Technology Companies

3.2. NVIDIA

Experience: NVIDIA was founded in 1993 and has worked in graphics chips and AI processing for more than 30 years.

Technology capability: NVIDIA leads the Edge AI segment with its EGX platform. It supports real-time AI applications in manufacturing, retail, telecom, and healthcare.

Workforce scale: The company has over 30,000 employees worldwide, showing strong investment and global expansion.

Achievements: NVIDIA Corporation received the Global Recognition Award 2024 for its breakthrough AI and graphics technologies.

NVIDIA is a pioneer in developing chips and Edge AI platforms, driving the era of AI at the edge.

3.3. Intel Corporation

Experience: Intel has long experience in hardware and processing. The company has been active in the edge computing field for many years.

Technology capabilities: With solutions such as the Open Edge Platform, Edge AI Suites, and the OpenVINO toolkit, Intel helps businesses design, deploy, and manage AI at the edge in a flexible way.

Workforce scale: Intel has more than 30,000 employees worldwide and has supported over 100,000 real-world edge deployments with partners.

Achievements: Intel announced the Partner of the Year Awards 2025, honoring top partners in AI and Edge AI.

 Intel is a global technology corporation that plays an important role in building hardware infrastructure for Edge AI applications.

3.4. Qualcomm

Experience: Qualcomm was founded in 1985 and has over 40 years of experience in processors, connectivity, and Edge AI solutions.

Technology capability: Qualcomm is well-known for mobile chips, but it has strongly expanded into AI and Edge AI. Recently, the company announced the opening of an AI R&D center in Vietnam.

Workforce size: By the end of 2024, Qualcomm had around 49,000 employees worldwide.

Achievements: Qualcomm was named Corporate Partner of the Year 2024 by the Naval Postgraduate School Foundation for its contributions to research and technological innovation.

Qualcomm – a leading company in chip technology and 5G connectivity, driving the global growth of the Edge AI ecosystem.

3.5. Cognex

Experience: Cognex was founded in 1981. The company has more than 40 years of experience in machine vision and industrial automation, which are important foundations for Edge AI.

Technology capabilities: Cognex states that over 37% of its employees are engineers, and 36% hold advanced degrees. Many of its products are used worldwide, and the company is now adding AI at the edge.

Workforce size: As of 2024, Cognex has over 2,900 employees across multiple countries.

Achievements: Cognex’s In-Sight L38 product won the Edge Awards 2024 in the Machine Vision & Inspection category.

Cognex machine vision system in industrial Edge AI applications.

4. Edge AI Solution Trends in VietNam the Next 3–5 Years

Rapid growth of the Edge AI market in Vietnam: According to the report “Vietnam Artificial Intelligence – Opportunities and Applications”, Vietnam’s AI market is expected to reach about USD 932 million in 2025. It will grow at a CAGR of 26.27% from 2025 to 2031. Edge AI is also rising fast. Smart manufacturing, automation systems, and IoT applications are driving strong demand for Edge AI platforms in Vietnam.

Integration with IoT, 5G, and hybrid cloud–edge: A key trend is the combination of Edge AI with IoT networks and 5G connectivity. IoT and AI will be used more in factories and operations. This helps track machines, detect errors faster, and support real-time decisions.

More on-device processing and stronger data security: Edge AI allows data to be collected and analyzed directly on the device. This reduces latency, saves bandwidth, and improves security. These benefits are important for industries such as manufacturing, healthcare, and logistics. As Vietnamese companies move toward digital operations, on-device processing becomes a competitive advantage.

Challenges and future directions: Despite high potential, several challenges remain. These include the lack of standard Edge AI frameworks, complex integration of hardware–software–network systems, and high initial investment.
In the coming years, Vietnam may see:

• Wider use of low-code/no-code and open-source Edge AI platforms, making it easier for small and medium businesses to adopt the technology.
• Growth of embedded AI inside sensors and microcontrollers (“AI at the sensor level”), making edge devices smarter and more autonomous.

The development trend of Edge AI and edge computing in Vietnam in the next 3–5 years

Edge AI in Vietnam is creating strong opportunities for businesses. It helps improve performance, reduce latency, increase security, and strengthen competitiveness. However, to fully use this potential, companies need an experienced technology partner who understands real AI infrastructure and IoT systems.

TMA Solutions is a trusted choice for businesses wanting to deploy and scale Edge AI solutions quickly. With strong technical skills and flexible customization, TMA helps optimize processes, use data directly at the source, and turn AI into real business value.

→ Contact TMA today to explore how Edge AI can make your operations smarter.

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