AI is reshaping the tech infrastructure landscape, demanding a fundamental rethinking of organisational infrastructure strategies. Traditional infrastructure, once sufficient, now struggles to keep pace with the immense scale and complexity of AI workloads. To meet these demands, organisations are turning to high-performance computing (HPC) solutions, leveraging powerful GPUs and specialised accelerators to handle the computationally intensive nature of AI algorithms.
Real-time AI applications, from fraud detection to autonomous vehicles, require lightning-fast processing speeds and low latency. This is driving the adoption of high-speed networks and edge computing, enabling data processing closer to the source and reducing response times. AI-driven automation is also streamlining infrastructure management, automating tasks like network provisioning, security monitoring, and capacity planning. This not only reduces operational overhead but also improves efficiency and frees up valuable resources.
Ecosystm analysts Darian Bird, Peter Carr, Simona Dimovski, and Tim Sheedy present the key trends shaping the tech infrastructure market in 2025.
Click here to download ‘Building the AI Future: Top 5 Infra Trends for 2025’ as a PDF
1. The AI Buildout Will Accelerate; China Will Emerge as a Winner
In 2025, the race for AI dominance will intensify, with Nvidia emerging as the big winner despite an impending AI crash. Many over-invested companies will fold, flooding the market with high-quality gear at bargain prices. Meanwhile, surging demand for AI infrastructure – spanning storage, servers, GPUs, networking, and software like observability, hybrid cloud tools, and cybersecurity – will make it a strong year for the tech infrastructure sector.
Ironically, China’s exclusion from US tech deals has spurred its rise as a global tech giant. Forced to develop its own solutions, China is now exporting its technologies to friendly nations worldwide.
By 2025, Chinese chipmakers are expected to rival international peers, with some reaching parity.
2. AI-Optimised Cloud Platforms Will Dominate Infrastructure Investments
AI-optimised cloud platforms will become the go-to infrastructure for organisations, enabling seamless integration of machine learning capabilities, scalable compute power, and efficient deployment tools.
As regulatory demands grow and AI workloads become more complex, these platforms will provide localised, compliant solutions that meet data privacy laws while delivering superior performance.
This shift will allow businesses to overcome the limitations of traditional infrastructure, democratising access to high-performance AI resources and lowering entry barriers for smaller organisations. AI-optimised cloud platforms will drive operational efficiencies, foster innovation, and help businesses maintain compliance, particularly in highly regulated industries.
3. PaaS Architecture, Not Data Cleanup, Will Define AI Success
By 2025, as AI adoption reaches new heights, organisations will face an urgent need for AI-ready data, spurring significant investments in data infrastructure. However, the approach taken will be pivotal.
A stark divide will arise between businesses fixated on isolated data-cleaning initiatives and those embracing a Platform-as-a-Service (PaaS) architecture.
The former will struggle, often unintentionally creating more fragmented systems that increase complexity and cybersecurity risks. While data cleansing is important, focusing exclusively on it without a broader architectural vision leads to diminishing returns. On the other hand, organisations adopting PaaS architectures from the start will gain a distinct advantage through seamless integration, centralised data management, and large-scale automation, all critical for AI.
4. Small Language Models Will Push AI to the Edge
While LLMs have captured most of the headlines, small language models (SLMs) will soon help to drive AI use at the edge. These compact but powerful models are designed to operate efficiently on limited hardware, like AI PCs, wearables, vehicles, and robots. Their small size translates into energy efficiency, making them particularly useful in mobile applications. They also help to mitigate the alarming electricity consumption forecasts that could make widespread AI adoption unsustainable.
Self-contained SMLs can function independently of the cloud, allowing them to perform tasks that require low latency or without Internet access.
Connected machines in factories, warehouses, and other industrial environments will have the benefit of AI without the burden of a continuous link to the cloud.
5. The Impact of AI PCs Will Remain Limited
AI PCs have been a key trend in 2024, with most brands launching AI-enabled laptops. However, enterprise feedback has been tepid as user experiences remain unchanged. Most AI use cases still rely on the public cloud, and applications have yet to be re-architected to fully leverage NPUs. Where optimisation exists, it mainly improves graphics efficiency, not smarter capabilities. Currently, the main benefit is extended battery life, explaining the absence of AI in desktop PCs, which don’t rely on batteries.
The market for AI PCs will grow as organisations and consumers adopt them, creating incentives for developers to re-architect software to leverage NPUs.
This evolution will enable better data access, storage, security, and new user-centric capabilities. However, meaningful AI benefits from these devices are still several years away.
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The technology market in Thailand continues to evolve at an unprecedented pace, creating both exciting opportunities and significant challenges for tech leaders in the country. Real-world AI applications and cloud expansion define the future of IT strategies in 2024, as organisations push digital transformation forward. Understanding these trends is crucial for navigating today’s market complexities and achieving exponential growth. Here are the opportunities in the Thailand technology landscape and insights on how to address them effectively.
Tech Modernisation: Breaking Free from Vendor Lock-in
Data centre consolidation and infrastructure modernisation remain top priorities for organisations in Thailand. These processes catalyse the ‘de-requisitioning’ removing outdated or unnecessary technology from an organisation’s infrastructure. But vendor lock-ins pose challenges for organisations, mainly stifling organisational flexibility, hindering innovation, and exposing them to business disruption risks.
44% of organisations in Thailand are focused on consolidating data centres and modernising tech stacks to mitigate vendor lock-ins and enhance operational efficiency.
Modernising infrastructure reduces reliance on single vendors and improves scalability and resilience. Despite the widespread adoption of hybrid and multi-cloud environments, effectively managing these systems remains challenging and requires additional strategic investments.
Over-reliance on a single provider can expose organisations to new risks. This is why CIOs in Thailand are taking decisive steps to combat technology vendor lock-in. They are centralising and modernising their data centres and enhancing cross-platform tools to reduce vendor dependency.
This approach is key to their long-term growth and innovation, allowing them to remain at the forefront of the digital transformation landscape, ready to leverage emerging technologies and adapt to expanding business challenges.
The Hybrid Cloud Labyrinth: Managing Complexity for Success
Nearly 60% of Thailand organisations have embraced hybrid and multi-cloud environments, but the challenges of managing the complexity are often underestimated.
Hybrid strategies offer numerous benefits, such as increased flexibility, optimised performance, and enhanced disaster recovery capabilities. However, managing different cloud providers, each with its unique interface and operational management tools can be challenging.
The challenges of managing a hybrid IT environment are indeed multifaceted. Integration requires harmonising various technology services to work together seamlessly, which can be complex due to differing architectures and protocols. Security is another primary concern, as managing security across on-premises and multiple cloud providers necessitates consistent policies and vigilant monitoring to prevent breaches and ensure compliance. Additionally, efficiently utilising resources across hybrid clouds involves sophisticated monitoring and automation tools to optimise performance and cost-effectiveness. These challenges are real and pressing, and they demand attention and action.
Alarmingly, only 1% of organisations in Thailand plan to increase their investments in hybrid cloud management in 2024.
Organisations can ensure seamless integration, consistent security readiness, and efficient resource utilisation across diverse cloud platforms by investing in robust tools and practices for effective hybrid cloud management. This mitigates operational risks and security vulnerabilities and leads to cost savings due to well-managed cloud environments.
It’s crucial for CIOs in Thailand to urgently prioritise investing in new comprehensive management solutions and developing the necessary skills within their IT teams. This involves training staff on the latest hybrid cloud management technologies and best practices and adopting advanced tools that provide visibility and control over multi-cloud operations. Cracking the hybrid/multi-cloud code empowers CIOs to not only navigate these environments, but also unlock the potential of advanced technologies like AI, ultimately driving superior IT services and expanded business growth. The urgency of this task cannot be overstated, and the sooner you act, the better prepared your organisation will be for the future.
The Future of Work: AI Adoption for Enhanced Productivity
AI is a powerful tool for improving employee productivity and transforming internal operations.
However, only 12% of Thailand’s organisations invest in AI to enhance the employee experience.
This represents a missed opportunity for organisations to utilise AI’s potential to streamline processes, automate repetitive tasks, and provide personalised support to employees.
AI can significantly enhance operational efficiency by automating routine tasks, enabling staff to focus on strategic initiatives. For instance, AI-driven analytics platforms can process vast amounts of data in real time, providing actionable insights that help businesses make informed decisions quickly. AI frees employees to focus on higher-level tasks like developing innovative solutions and strategies. This empowers them to take on more strategic roles, fostering personal growth and career advancement.
The early adopters of AI in Thailand are already reaping the benefits, gaining significant competitive edge by enhancing employee productivity and satisfaction.
In Thailand AI adoption is gaining momentum within tech teams – 44% are exploring its potential for various use cases.
However, its capabilities extend far beyond. AI encompasses a wide range of technologies that can generate content, such as text, images, and code, based on input data. These versatile capabilities are not limited to tech teams, but can also be used for content creation, process automation, and product design in various industries. The success of these early adopters should inspire other Thailand organisations to consider AI adoption as a means to stay ahead in the market.
The enthusiasm for AI has yet to extend beyond tech teams, with only 19% of business units considering its adoption.
This difference highlights an opportunity for CIOs in the country to play a crucial role in advocating for broader AI adoption across the organisation. By demonstrating the tangible benefits, such as increased efficiency, reduced costs, and enhanced innovation, CIOs can drive more widespread acceptance and use. Encouraging cross-departmental collaboration and training on AI applications can further support its integration across business operations. CIO leadership is crucial for successful AI adoption.
The Importance of a Collaborative Ecosystem
Together, we can navigate the intricacies of advanced technologies and foster innovation in Thailand organisation. These market trends should guide you on how to establish a resilient and adaptable IT infrastructure that facilitate long-term growth and innovation. Emphasising modernisation and the strategic use of AI will enhance operational efficiency and position your organisation to harness emerging technologies effectively, all while being part of a supportive and collaborative community.
Stay tuned for more Ecosystm insights and guidance on navigating the Thailand technology landscape, ensuring your organisation remains at the forefront of digital transformation.
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Learn about the key trends transforming the Indonesian technology landscape and watch this space for more data-backed insights on Southeast Asia’s tech markets.
To mitigate the challenges of cloud vendor lock-in, 44% of organisations in Thailand will prioritise data centre consolidation and infrastructure modernisation in 2024.
Explore the key trends impacting Thailand’s technology adoption. Keep an eye out for more data-backed insights on tech markets across Southeast Asia.
Southeast Asia has evolved into an innovation hub with Singapore at the centre. The entrepreneurial and startup ecosystem has grown significantly across the region – for example, Indonesia now has the 5th largest number of startups in the world.
Organisations in the region are demonstrating a strong desire for tech-led innovation, innovation in experience delivery, and in evolving their business models to bring innovative products and services to market.
Here are 5 insights on the patterns of technology adoption in Southeast Asia, based on the findings of the Ecosystm Digital Enterprise Study, 2022.
- Data and AI investments are closely linked to business outcomes. There is a clear alignment between technology and business.
- Technology teams want better control of their infrastructure. Technology modernisation also focuses on data centre consolidation and cloud strategy
- Organisations are opting for a hybrid multicloud approach. They are not necessarily doing away with a ‘cloud first’ approach – but they have become more agnostic to where data is hosted.
- Cybersecurity underpins tech investments. Many organisations in the region do not have the maturity to handle the evolving threat landscape – and they are aware of it.
- Sustainability is an emerging focus area. While more effort needs to go in to formalise these initiatives, organisations are responding to market drivers.
More insights into the Southeast Asia tech market below.
Click here to download The Future of the Digital Enterprise – Southeast Asia as a PDF