Gigamon set to lead USD $880 million deep observability market
The research highlights the significant growth expected in deep observability, with Frost & Sullivan estimating a total addressable market value of USD $880 million for 2025, expanding to USD $2.7 billion by 2029. This represents a compound annual growth rate of 33 percent, influenced by enterprises adopting hybrid cloud infrastructure and evolving cybersecurity requirements.
Market drivers
Frost & Sullivan attributes the increasing demand for deep observability solutions to several challenges confronting contemporary organisations. These include the limitations of traditional security tools, implementation requirements for Zero Trust architectures, and the growth of attack surfaces resulting from new artificial intelligence (AI) workloads.
The report notes that legacy log data from cloud and security tools can be insufficient for securing and managing complex hybrid cloud environments. Findings from Gigamon's 2025 Hybrid Cloud Security Survey, which sampled more than 1,000 global Security and IT leaders, revealed real-time threat monitoring and visibility across all data in motion as a leading priority for defence-in-depth strategies. Nearly nine in ten respondents (89 percent) agreed that deep observability is a foundational element of cloud security.
Defining deep observability
Frost & Sullivan describes deep observability as an approach to efficiently providing network-derived telemetry to cloud, security, and monitoring tools. The report positions deep observability as a critical capability, distinguishing it from traditional observability by incorporating real-time, network-level insights. These capabilities aim to help Security and IT teams achieve better visibility across hybrid cloud environments, which is intended to strengthen organisational security posture and support network and application performance. "Over the past year we've seen organisations increasingly prioritise visibility into all data in motion, as they seek to secure their hybrid cloud environments against an accelerating threat landscape," stated Vinay Biradar, Associate Director, Cybersecurity Advisory at Frost & Sullivan. "The increasing complexity of dynamic and distributed workloads is driving a shift in security investments toward solutions that help deliver complete visibility and reduce risk. Our research once again highlights Gigamon as the industry leader, due to its Deep Observability Pipeline and vast ecosystem, as it delivers the rich network-derived telemetry that modern security tools need to effectively secure data and infrastructure from evolving cyberthreats."
Growth across organisations
The Frost & Sullivan research highlights that adoption of deep observability solutions is particularly strong among large enterprises, defined as those with more than 5,000 employees. United States federal agencies are also identified as significant adopters, with regulatory requirements around Zero Trust cited as primary reasons for higher uptake. The report outlines several key factors influencing market growth, including improving security posture, Zero Trust architecture implementation, operational efficiency and cost reduction, compliance and cloud governance improvements, and a growing need for comprehensive network traffic insights.
Shane Buckley, President and Chief Executive Officer at Gigamon, commented on the pressures organisations face from AI adoption in hybrid cloud infrastructure. "AI is upping the ante for organisations, making complete visibility into all data in motion even more challenging across hybrid cloud infrastructure as organisations rapidly deploy new AI workloads. Increasingly, our customers are relying on the network-derived telemetry we deliver across their virtual machines, containers, cloud, and physical infrastructure, to help eliminate blind spots and vulnerabilities where threat actors could hide. The continued validation of deep observability as a rapidly growing market category underscores its significance in modern cybersecurity tech stacks."
Research methodology
The Frost & Sullivan analysis is based on a top-down assessment which estimates the deployment of deep observability solutions across global large enterprises and US federal agencies. The research also considers average enterprise spending and includes insights from primary interviews with market participants, including Gigamon.
Frost & Sullivan concludes that the combination of increased hybrid and multi-cloud deployment, regulatory developments around Zero Trust, and heightened AI adoption will continue to shape and expand the global deep observability market through 2029.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Techday NZ
3 days ago
- Techday NZ
AI data centre market to reach USD $933.76 billion by 2030
The global artificial intelligence data centre market is projected to experience significant growth driven by the increasing demand for AI workloads, data explosion, and big data analytics. Research from MarketsandMarkets estimates that the worldwide AI data centre market will rise from USD $236.44 billion in 2025 to USD $933.76 billion by 2030, registering a compound annual growth rate (CAGR) of 31.6% throughout the forecast period. Market drivers This growth is primarily attributed to the surging demand for AI workloads across multiple industries, including healthcare, finance, and manufacturing. These sectors increasingly rely on high-performance computing infrastructures to manage complex algorithms and process large-scale data sets in real time. In response, companies are making investments in data centres optimised for artificial intelligence, which incorporate advanced hardware such as GPUs, TPUs, and storage systems capable of supporting intense computational loads. Such investments aim to address both the performance needs of AI tasks and the growing quantities of data generated by digital transformation initiatives. While demand is growing, the establishment of AI-centric data centres involves considerable costs. These include the need for specialised hardware, advanced cooling mechanisms to manage the substantial heat generated by high-performance servers, and a workforce with expertise in AI operations and maintenance. This cost barrier may prove significant, particularly for small and mid-sized enterprises looking to adopt AI infrastructure. An emerging trend within the segment is the adoption of environmentally sustainable practices. Organisations are implementing green AI data centres that focus on energy efficiency and reduced carbon footprints as part of efforts to address both cost and regulatory pressures related to sustainability. Compute servers lead The compute server segment is anticipated to command the highest market share in the AI data centre market during the forecast window. Compute servers play a crucial role in deploying AI workloads, especially in domains such as deep learning, natural language processing, and computer vision. These applications require substantial computational power for both training and inference, typically delivered by servers outfitted with GPUs, TPUs, or custom AI accelerators. These advanced servers enable parallel processing and real-time analysis of data, making them an integral component for enterprises deploying AI at scale. As the demand for automation, advanced analytics, and new digital services grows, the market for compute servers tailored for AI purposes continues to expand. Another important factor is the increasing use of AI in hyperscale data centres, which process large volumes of data on a continuous basis. To satisfy these computational requirements, compute servers are increasingly considered the backbone of modern AI data centre architectures. Their reliability and performance are central to the operation of scalable, high-capacity AI systems. Enterprise adoption increases The enterprise segment is projected to register the highest CAGR in the AI data centre market over the forecast period. This is attributed to the widespread digital transformation across industries and a growing emphasis on intelligent, data-driven decision-making for business processes. Enterprises are increasingly deploying AI workloads for a variety of applications, such as predictive maintenance, customer analytics, fraud detection, and automation of routine business tasks. To support these initiatives, many are investing in data centres that are specifically optimised for AI, offering the required computational power and scalability. While hyperscale technology providers have already established robust AI infrastructure, a transition is seen in enterprises actively developing or collaborating to build AI-focused data centre capacity in pursuit of maintaining competitiveness. Industry-specific examples include financial institutions leveraging AI data centres for real-time risk assessment, while healthcare organisations use them for expediting diagnostics and drug discovery. The AI data centre market is witnessing strong growth due to the rising demand for AI workloads across healthcare, finance, and manufacturing sectors. These workloads require high-performance computing infrastructure to process complex algorithms and large-scale data sets in real-time. Companies are investing in AI-optimized data centres that integrate GPUs, TPUs, and advanced storage systems to meet this demand. However, one main constraint is the high implementation cost associated with setting up AI-centric data centres, including investment in specialised hardware, advanced cooling systems, and skilled personnel. This can be a barrier, particularly for small and mid-sized enterprises. An emerging opportunity lies in the increasing adoption of green AI data centres as organisations focus on sustainability and energy efficiency. The growth of AI-as-a-Service (AIaaS) platforms is also granting mid-sized and smaller enterprises access to advanced AI technologies without requiring hefty upfront infrastructure investments. Additionally, government incentives targeted at promoting digital innovation and AI utilisation in sectors such as manufacturing and transportation are further encouraging enterprise spending on AI-capable data centres. With enterprises increasingly transitioning to hybrid cloud and edge computing models, the requirement for data centre infrastructure that is robust, secure, and energy-efficient is accelerating. These trends are expected to underpin the strong market growth expected in the coming years.
Techday NZ
3 days ago
- Techday NZ
Accenture acquires Aristal to boost Southeast Asia banking tech
Accenture has completed the acquisition of Aristal, a Malaysia-based consultancy with expertise in financial services and digital transformation, in an effort to broaden its capabilities across Southeast Asia. This acquisition represents Accenture's first banking-focused purchase in Malaysia and is part of a wider programme to expand its presence in the region's financial services sector. Regional pressure Banks and financial institutions across the Asia-Pacific, including New Zealand, are facing increasing challenges to modernise legacy systems and increase digital adoption, partly in response to changing economic conditions at both the regional and global levels. Founded in 2006, Aristal has provided advisory services in core banking transformation and has led significant IT and business change initiatives for financial institutions in Malaysia, Indonesia, Singapore, and Thailand. Its expertise spans system migrations, regulatory compliance, and post-merger integrations, challenges that many banks in Southeast Asia are actively addressing. "With deep expertise in core banking systems, Aristal has helped banks upgrade outdated platforms, improve operations, and deliver better customer experiences - capabilities that will strengthen Accenture's financial services offerings," said Paul Ng, Financial Services Lead, Southeast Asia at Accenture. "Their experience implementing core banking platforms, designing operating models, and supporting post-merger integration will enhance our ability to help banks across Southeast Asia transform faster and operate more efficiently." Following the acquisition, Aristal's team of 30 professionals will join Accenture's Financial Services practice in Malaysia. According to both companies, the integration of Aristal's industry experience with Accenture's broader technology and managed services portfolio should enable more comprehensive delivery of transformation projects for banks in the region. Market trends The global core banking market is expected to reach USD $28.8 billion by 2027, and financial institutions in Southeast Asia are advancing their efforts to replace ageing technology and enhance digital offerings. New Zealand's banks, subject to scrutiny over ageing infrastructure and the quality of digital services, are observing such developments as a reminder of the necessity for ongoing investment in updating core systems. "This acquisition expands our pool of experienced professionals in Malaysia and strengthens our ability to support clients driving core banking transformation," said Azwan Baharuddin, Country Managing Director for Accenture in Malaysia. "It reflects our commitment to developing local talent and helping clients harness the power of technology, data, and AI to reinvent how they operate, compete, and grow in an increasingly dynamic banking landscape." Lin Kok Liong, Managing Director of Aristal, commented on the wider opportunities the deal presents for Aristal staff and clients alike. "Joining Accenture opens up tremendous opportunities for our team here in Malaysia to grow and contribute on a larger stage. By integrating into Accenture's global network of innovation and talent, we're not only expanding our own capabilities but also enhancing the value we can deliver to clients locally." Strategic moves The acquisition follows other strategic decisions by Accenture in Southeast Asia, including purchasing Singapore-based Percipient's digital twin banking technology and launching the AI Refinery Engineering Hub, with an aim of supporting digital transformation on a large scale for financial services providers. No financial details regarding the Aristal transaction have been disclosed. Follow us on: Share on:
Techday NZ
4 days ago
- Techday NZ
Bitdefender boosts creator security as scams top USD $1 trillion
Bitdefender has announced the expansion of its Security for Creators solution to provide unified protection across YouTube, Instagram, and Facebook. This development comes amid a significant increase in online scams, account takeovers, and malware attacks targeting digital content creators, influencers, and online creatives. Rising cyber threats Recent investigations have highlighted a growing threat landscape for creators. According to findings referenced by the company, more than 184 million exposed credentials and passwords have been uncovered, with millions linked to social media platforms such as Instagram and Facebook. The Global State of Scams 2024 Report further estimated global losses from online scams and fraud to have exceeded USD $1 trillion. The risks associated with such breaches for digital creators are substantial, ranging from loss of access to social accounts to compromised reputations and income streams. Expanded platform coverage Bitdefender Security for Creators extends protection to Facebook and Instagram alongside existing support for YouTube. The solution aims to safeguard content channels as well as devices running Windows, Mac, Android, and iOS through a single setup process that connects both accounts and endpoints. Once activated, the service continuously monitors channels for signs of anomalous behaviour and performs real-time scans on owner devices for phishing emails, malicious URLs, files, and potential malware. Alerts are delivered instantly to users in the event of suspicious activity. Key features The company outlined several notable features in its updated solution: 24/7 account monitoring for Facebook, Instagram, and YouTube, detecting profile changes, bulk deletions, or unauthorised modifications that may signal a takeover attempt. Multi-platform management via a unified dashboard, allowing creators to oversee security across all connected platforms without switching between different tools or interfaces. Advanced threat defence, including protection from zero-day attacks, spyware, ransomware, infostealers, and other threats potentially targeting credentials or account control. AI-driven anti-phishing technology, designed to detect fraudulent communications such as emails or direct messages that mimic brand partnerships or sponsorship offers, including those generated using Large Language Models (LLM). Team protection options for collaborative creators, extending security measures to additional team members such as video editors or designers who have access to managed social media accounts. Account recovery assistance, providing a step-by-step playbook to guide creators through notifying platforms, regaining access, and restoring trust with audiences if an account is compromised. "Online creators are increasingly targeted by cybercriminals who weaponize trust to take over accounts and scam followers out of money or into downloading malware," stated Ciprian Istrate, Senior Vice President of Operations, Consumer Solutions Group at Bitdefender. "A single attack can wipe out years of hard work, brand reputation, and income. Bitdefender Security for Creators offers the first end-to-end service to help safeguard creators' accounts, content, and devices across Facebook, Instagram, and YouTube – delivering continuous, always-on security as online threats evolve." The latest enhancements to Bitdefender Security for Creators come in response to the evolving nature of cyber threats against digital creators and follow widespread data leak incidents and fraudulent activities reported globally in recent months. The service is available for both new and existing customers. Follow us on: Share on:
