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| Concept artwork about technology generated by Blue Willow. |
Timeline 2024
See also
See also
See also
See also
Corporate highlights in 2024
Predictions 2025
"CIOs must adopt a proactive and strategic approach to thrive in 2025. By aligning their strategies with emerging data privacy regulations, optimising cross-border data infrastructure, and enhancing AI readiness for local markets, CIOs can foster an environment of innovation that meets both regulatory demands and business objectives," said Hemanta Banerjee, VP of Public Cloud Data Services, Rackspace Technology.
Shashank Sharma, Senior Director, Digital Experience, Korea and SEA, Adobe said: "As business and technology converge in a rapidly evolving digital ecosystem, 2025 promises to be a year of transformation and innovation. Companies face mounting pressure to adapt to disruptive forces such as generative AI, the shift from third-party to first-party data, and the growing demand for personalisation at scale.
"At the same time, customers expect seamless, meaningful experiences and are increasingly vigilant about how their data is handled. This shifting landscape offers immense opportunities but also challenges that require a balanced approach of agility, responsibility, and foresight."
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"In 2025, we anticipate a significant surge in the adoption of AI agents. These intelligent systems are poised to streamline workflows, boost efficiency, and deliver unparallelled value to both businesses and consumers. Already, we are seeing promising applications across various industries, from customer-facing chatbots to internal tools that assist employees in their daily tasks – even outside of traditionally tech-centric industries," said Terry Maiolo, VP & GM Asia Pacific, OVHcloud.
"By bridging gen AI’s capabilities with real-world execution, AI agents can help unlock AI’s full potential. In fact, gen AI has the potential to generate over US$2.6 T in annual value, with AI agents playing a key role."
Gen AI stands for generative AI.
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"On the one hand, (AI) powers advanced threat detection, anomaly detection, and automated response systems, enabling defenders to stay ahead of emerging threats. On the other, it is being weaponised by attackers to create more sophisticated and adaptive exploits," said John Engates, Field CTO, Cloudflare.
"We are entering an era where AI systems will battle AI systems, with human security teams orchestrating strategies to maintain the upper hand. This shift underscores the need for continuous innovation in AI-driven security solutions, as static defenses become increasingly inadequate."
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Teo Xiang Zheng, VP of Advisory, Ensign InfoSecurity said: "Cybercrime is projected to cost the global economy US$12 T in 2025, ranking as the third-largest 'economy' worldwide. Businesses must prioritise cyber resilience as digital transformation accelerates. Three key trends dominate: increasingly sophisticated ransomware with multi-extortion tactics, AI-powered threats enabling scalable, personalised attacks, and geopolitical tensions fracturing digital ecosystems.
"Emerging threats include IoT device vulnerabilities and quantum computing’s potential to break encryption. To counter these challenges, organisations should focus on proactive measures such as regular security assessments, AI-enabled defences, robust supply chain security, and collaboration with governments and industry to share threat intelligence. A multifaceted approach is essential to adapt to the evolving threat landscape, avoid disruption, and build long-term resilience against rising cyber risks."
The 2025 cybersecurity landscape
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"High-quality, trusted data is the foundation of successful AI that can be applied across economies and industries, and we believe that empowering three core principles of trust – a focus on people, transparency, and value-creation – will help drive a new era of creativity and confidence in business decision-making across Asia," said Praveen Thakur, SVP for Asia, Teradata.
Data quality in focus for 2025
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It's all about AI for work in 2025
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NVIDIA's AI predictions for 2025
The 2-Z of 2025 tech predictions
2 is for two-factor authentication
Said Tay Bee Kheng, President, ASEAN, Cisco: "In the past year, the business landscape has undergone significant transformations, compelling companies to rethink their operating models. One key driver has been the availability of generative AI, which has dominated the business world and found its way into strategy updates, earnings statements, and almost every stakeholder communication.
"At its current level of mass scale impact, AI may well surpass cloud and even the Internet in its significance as a technology disruptor. This has profound impacts on how businesses navigate issues such as the ongoing skills gap, as well as their sustainability and security journeys."
A is for artificial intelligence (AI), part 1
- Evolution
- Analytics
- Diversity
- Ethics
- Governance
- Optimisation
- Privacy
- Talent
- Work transformation
"2025 will see two camps emerging – the first includes businesses that have found successful use cases for gen AI and are reaping the fruits," said Remus Lim, Senior VP, Asia Pacific and Japan, Cloudera.
"Financial service institutions, for example, are early adopters of gen AI, and at Cloudera we’re witnessing a notable shift rippling through the industry as more banks move from rule-based to model-based systems for fraud detection. The real value of gen AI lies in gaining knowledge and insights at scale – without good data, AI models will not be able to run successfully. Thus, businesses that are most likely to benefit are from sectors with large pools of trusted data that they can tap into for actionable insights."
Lim said the second group of companies do not traditionally have large-scale databases to scale nor benefit as much from gen AI, so they turn to traditional AI or deterministic machine learning models instead to drive efficiency and productivity. "Ultimately, we foresee that businesses will cease buying into the hype and shine of gen AI, and instead focus on mapping their technology investment roadmap to their broader organisation goals," he said.
- Agents
- Calibration
- Cost
- Middleware
- Sustainability
- 4th wave
Peter Chambers, MD, APAC Sales & Country Manager, Australia, AMD said: “We don't believe the next five years of advancement in the AI space will be realised by a single company, product, or vision. The future of the technology will be born from open ecosystems and deep industry partnerships that drive true innovation.
"Interoperability is important when it comes to technology that is evolving at an exponential rate because an open ecosystem is the best conduit to innovation. Developers shouldn’t have to develop for just one company’s hardware; instead, they should be able to develop what they want and to do so, they would require access to the best hardware underneath necessary to realise their vision. Each organisation has its own specialty within the ecosystem and there's no one company that can simply do it all in this space, which makes the opportunity to closely collaborate and partner all the more critical.”
- Authenticity
- New tools and techniques
- Open source
- Ecosystem
- Looking ahead
"In 2025, businesses will continue to look at adopting and optimising emerging technologies to facilitate more efficient use of company resources. While we have seen high uptake of cloud solutions in the past couple of years, moving forward, businesses must continue to embrace new ways of working to advance existing digital ecosystems. This includes the adoption and optimisation of multicloud, hybrid cloud, and on-premise strategies while simultaneously relooking where AI needs to be deployed, so that data can be better utilised regardless of where it is stored and processed," said Phoebe Poon, VP of Product Management at Aicadium.
"We are at an exciting point in AI innovation, and it's encouraging to see Asia-Pacific organisations leading the charge in data readiness for AI,” said Dhruv Dhumatkar, CTO, NetApp Asia Pacific and Japan at the launch of NetApp's Data Complexity report.
“Data holds the key to AI’s success. For organisations to capitalise on their lead, intelligent data management capabilities are essential to unify and make data a strategic asset for positive business outcomes.”
"The data centre market across APAC has experienced significant expansion due to the rise of data
consumption across the region. We will see this continue into 2025, with regions such as India predicted
to double in its data centre capacity. A key focus for governments and enterprises will be balancing
increasing energy demands and operational complexities with growing expectations for AI infrastructure," predicted Lenovo.
I is also for (AI-generated) imagery
J is for jobs
K is for knowledge in real time
M is for (digital) money and cryptocurrency
O is also for off-grid
P is also for personalisation
S is also for servers
T is also for truth
V is for verticals, part 1
- Automotive: AI adoption
- Construction, engineering and design: AI adoption
- Energy: AI adoption
- Finance: AI adoption
- Healthcare: AI adoption
- Healthcare: data management
- Healthcare: modernisation
- Logistics: AI adoption
- Manufacturing: digital twins
- Media and entertainment: AI adoption- Public sector: disaster preparedness: open data
- Retail: AI adoption
- Retail: customer experience
- Telecommunications: AI adoption
V is also for virtual realities
X is for the customer eXperience
Note: Slightly different versions of 2024 milestones and 2025 predictions may have appeared on TechLife Asia.
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