Top 5 Trends in the ICT Domain: Analyzing the Role of Agentic AI and Spatial Computing on the Sector

The emergence of AI and machine learning has played a transformational role in the growth of the ICT domain. In the last few years, these technologies have helped companies worldwide grow and reach more consumers. Furthermore, the rising demand for IoT-powered devices from domestic, industrial, and commercial sectors has created new investment opportunities in the landscape. In addition, data analytics and blockchain have enabled enterprises to enhance the security and privacy of their digital infrastructure, thus enhancing their credibility and brand value in the long run. The first quarter of 2025 has witnessed many advancements and developments that influenced the growth of the ICT industry. This newsletter analyzes all such trends and studies their impact on the domain comprehensively.

A rise in the adoption of Network as a Service (NaaS) model reshaping the sectoral dynamics

Network-as-a-service is a cloud computing model that allows businesses to rent a wide variety of networking services, thus helping them access different resources without owning or maintaining any infrastructure. NaaS, thus, assists IT firms in reducing their costs, especially those related to various hardware and software systems required for performing networking operations. Moreover, the real-time monitoring and preventive repair solutions offered by the NaaS approach make it perfect for enterprises catering to a large clientele. Many NaaS providers even offer monthly or quarterly reports to their customers which help them identify and detect different issues that are likely to disrupt the infrastructure in the near future.

The growing adoption of different cloud services in various regions across the globe such as North America, Europe, and Asia-Pacific is expected to help the network-as-a-service market gather a revenue of $72.2 billion by 2031. The industry accounted for $11.2 billion in 2021 and is projected to rise at a CAGR of 20.8% during 2022-2031. Moreover, the rising demands for cybersecurity and privacy over the Internet have compelled IT companies to invest heavily in advanced technologies to strengthen their networking infrastructure, thus creating favorable conditions for the growth of the landscape in Q1 2025.

Rising CCaaS adoption driving positive industry impact

CCaaS a cloud-based subscription service, allows companies to interact with their clients and customers through multiple channels, including social media, voice, chat, and email without an on-premises infrastructure. Over the years, the contact center as a service market has witnessed huge growth and is expected to gather a sum of $19.8 billion by 2031. The industry accounted for $4.3 billion in 2021 and is projected to rise at a CAGR of 16.8% during 2022-2031. The growing demand for seamless end-to-end customer experience has driven businesses to adopt this client management model, accelerating industry growth.

Moreover, multinational IT giants such as Microsoft Corporation, Alphabet Inc. (Google Corporation), Amazon.com Inc. (AWS), IBM Corporation, and Cisco Systems have invested heavily in CCaaS-related R&D activities, broadening the scope of the landscape in Q1 2025. At the same time, the increased adoption of API- based contact centers has opened new avenues for growth in the industry. Additionally, the flexibility, scalability, and omnichannel communication capabilities offered by these innovative solutions have enhanced the footprint of the market in the first quarter of 2025.

Increasing utility of agentic AIin various end-use industries bringing in new investment opportunities

Agentic Artificial Intelligence refers to AI systems that are capable of achieving their assigned goal as per the changing environment without any human supervision and oversight. These solutions are mainly employed by enterprises to solve complicated challenges and streamline their operational workflows through automation, thus eliminating the need for manual labor. Agentic AI tools are mainly powered by machine learning algorithms, large language models (LLMs), and natural language processing techniques that help them process large volumes of data and identify different patterns seamlessly. While other AI models primarily work on static programming mechanisms, agentic AI systems are designed to make real-time knowledge-based decisions.

With the help of natural language processing methodologies, agentic AI systems can analyze different sentiments and extract meaningful information from different sources. Furthermore, deep learning models in these solutions analyze key data areas and develop strategies to generate responses. The growing use of these technologies in various industries such as healthcare and BFSI has generated numerous profitable opportunities in the ICT domain. Moreover, their ability to perform repetitive tasks has enabled manufacturing facilities to employ their workforce in more productive tasks, thus accelerating the sector’s growth in Q1 2025.

A surge in preference for zero-trust security architectures helping the landscape flourish

Zero trust architecture is a security framework that requires all users, apps, services, and devices, whether in or outside the enterprise’s network, to be authorized before granting access to the network. ZTA uses several technologies such as encryption, multi-factor authentication (MFA), identity and access management (IAM), etc., to reduce the threat of cyberattacks and data breaches. The zero trust architecture market, which accounted for $23.61 billion in 2021, is expected to gather a sum of $126.02 billion by 2031, rising at a CAGR of 18.5% during 2022-2031.

The increasing number of malware and phishing threats faced by IT companies has elevated the popularity of zero-trust architectures, thus driving the growth of the industry. Compared to conventional security frameworks, ZTA uses event analysis and other automation techniques to identify different networking issues and develop comprehensive solutions to address them. Continuous monitoring and validation, one of the key principles of zero-trust architectures, help companies authorize different users based on various parameters. ICT research shows these frameworks effectively counter advanced threats by segmenting and thoroughly inspecting networks.

Spatial computing fueling growth in Q1 2025

Spatial computing is a modern concept that involves blending the physical world with virtual experience using advanced technologies such as haptic feedback, the Internet of Things, and machine learning. Innovations like AR, VR, and mixed reality, which are key forms of spatial computing, work on principles of spatial mapping, computer vision, sensor fusion, edge computing, robotics, and ML algorithms to provide immersive experiences to the user. In recent times, this advanced computing technique has been used in end-use sectors such as gaming and entertainment, education, healthcare, and construction.

The primary advantage of spatial computing is it helps users interact with machines more intuitively, thus improving the real-time collaboration between different stakeholders. Ultimately, this enhances the overall productivity and efficiency of the company and assists in reducing its business costs drastically. Additionally, technological advancements in the field of Global Positioning System navigation have increased the adoption of this novel data processing technology. Furthermore, the entry of leading technology firms such as Intel Corporation, Apple Inc., Google Inc., Microsoft Inc., and IBM Inc., has widened the scope of the spatial computing market in the first quarter of 2025.

Winding up

In conclusion, the growth of the ICT sector in Q1 2025 is mainly attributed to the rising adoption of networking-as-a-service (NaaS) and command center-as-a-service (CCaaS) platforms. Furthermore, the growing deployment of zero-trust security architectures by major companies to counter cybersecurity threats and malware attacks has played an important role in the growth of the domain. Also, the development of new AI models and spatial computing techniques has contributed to the expansion of the landscape.

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