Gigamon set to lead deep observability with 52 percent share by 2025
Frost & Sullivan's analysis, commissioned by Gigamon, estimates the total addressable market for deep observability will reach USD $880 million in 2025 and expand to USD $2.7 billion by 2029, representing a compound annual growth rate of 33 percent.
Market drivers
The study highlights that growing adoption of hybrid cloud, increased threat complexity, and the proliferation of artificial intelligence (AI) workloads are key factors driving demand for deep observability solutions. As the number and sophistication of attacks increases, traditional log-based security tools are viewed as insufficient for protecting distributed environments.
According to the recent Gigamon 2025 Hybrid Cloud Security Survey of over 1,000 global security and IT leaders, real-time monitoring and visibility across all data in motion are now the top priorities for modern defence strategies. Nearly 89 percent of respondents agreed that deep observability is foundational to effective cloud security.
Definition and benefits
Frost & Sullivan defines deep observability as the efficient provision of network-derived telemetry to cloud, security, and observability tools. Unlike traditional log analytics, deep observability enhances visibility across complex, hybrid architectures by leveraging detailed insights from network traffic rather than solely relying on pre-existing data logs.
The research states that this approach allows security and IT teams to gain a comprehensive view of network and application performance, which in turn can improve security postures and reduce risk by identifying otherwise undetected threats and vulnerabilities. "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."
Sector adoption and drivers
Uptake is especially strong among large enterprises with more than 5,000 employees and US Federal Agencies, owing partially to mandatory requirements relating to Zero Trust architectures. The research found that the US Federal government exhibits the highest adoption rate within its sector due to compliance with Zero Trust regulations.
Other reported drivers for adopting deep observability solutions include operational efficiency, cost reduction, improved compliance and governance, and the need for comprehensive insight into network traffic, particularly as organisations deploy new AI workloads at scale.
Shane Buckley, President and CEO at Gigamon, commented on the evolving technology landscape: "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."
Study methodology
Frost & Sullivan's research was conducted through a top-down analysis of the deep observability market. This included estimates of the number of large global enterprises and US federal agency adoption rates, as well as typical enterprise spending on deep observability solutions. The findings were derived from both Frost & Sullivan's proprietary research and primary interviews with market participants, including Gigamon.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Techday NZ
4 days ago
- Techday NZ
Emerging cyber threats for 2025 target healthcare & industry
New research from Secureframe has identified the five most significant emerging cyber threats for 2025, focusing on the risks posed to critical sectors including healthcare, infrastructure, and small and medium-sized businesses. The report by Secureframe analyses recent high-profile breaches along with global threat trends and highlights an environment increasingly shaped by AI-driven attacks, organised cybercrime groups, and the rapid exploitation of newly discovered vulnerabilities. Rising threats across sectors Findings within the report indicate ransomware attacks on industrial operators grew by 46% in the first quarter of 2025 alone. Healthcare breach costs have reached an average of USD $5.3 million per incident, marking a 25% increase above the next closest industry. AI-driven criminal tools are enabling the widespread use of advanced phishing schemes, deepfakes, and malware that adapts to targets in real-time. Supply chain vulnerabilities are also being targeted more frequently by cybercriminals, with third-party vendor breaches now a primary vector for large-scale attacks. One cited example was the collapse of the 158-year-old KNP Logistics due to a ransomware incident, underscoring the real-world impact on businesses of all sizes. Organised cybercrime syndicates The report lists organised criminal networks as the number one threat, noting that these groups are expanding their activities through tools such as automation and ransomware-as-a-service platforms. LockBit is highlighted as an active player despite international efforts to dismantle such organisations, while new groups, including Interlock, are emerging to mimic these operations. AI-powered attacks Attackers are leveraging generative AI to craft realistic phishing lures, create deepfakes, and generate malware that adapts in real-time. In one case, AI-generated content helped defraud over 500,000 investors in the JuicyFields scam. Such developments signify a shift in the sophistication of cyber threats, demanding equally advanced detection and response capabilities. Advanced persistent threats Nation-state actors are intensifying long-term, covert attacks primarily targeting energy providers and defence contractors. Groups such as APT33 and APT39 were particularly active across North America and Europe in 2025, with campaigns designed to evade traditional security measures for months at a time. Zero-day vulnerabilities The research outlines that previously unknown and unpatched weaknesses are being exploited at a record pace. An example in 2025 was a critical flaw in Microsoft SharePoint (CVE-2025-53770) which was actively targeted globally before vendors released a remedy. Software supply chain attacks Third-party software platforms are being leveraged as a point of entry for cyberattacks against broader enterprise ecosystems. Secureframe notes that attacks involving compromised SAP SuccessFactors providers resulted in breaches extending into sectors from healthcare to consumer goods. Industry-specific warnings The healthcare sector is seen as especially vulnerable. The report states: "With 92% of organizations reporting attacks in 2024, the sector must prioritize HIPAA-compliant training and secure offline backups." Critical infrastructure operators in the defence and energy fields are advised to implement the NIST 800-172 and CMMC 2.0 frameworks to respond to escalating threats from nation-state actors. Financial services continue to face risks associated with investment fraud and business email compromise, prompted by increasingly refined social engineering attacks. Mitigation strategies Secureframe's report includes a recommended 10-step cybersecurity playbook designed to align with NIST CSF 2.0 and ISO 27001 standards. Suggested actions consist of emergency patching, multi-factor authentication enforcement, privileged account monitoring, third-party vendor assessments, continuous threat detection, and regular employee phishing simulations and tabletop crisis exercises. Methodology The findings were generated through the examination of cybersecurity incidents across multiple industries, using case studies of attacks on healthcare organisations, infrastructure systems, and large corporations during 2024 and 2025.
Techday NZ
4 days ago
- Techday NZ
Datadog Q2 revenue jumps 28 per cent to USD $827 million on AI, cloud demand
Datadog has reported its financial results for the second quarter of 2025, posting a 28 per cent year-over-year increase in revenue to USD $827 million. The company's growth in the quarter was attributed to the expansion of its customer base, particularly among larger organisations. Datadog disclosed that it now has approximately 3,850 customers with annual recurring revenue (ARR) of USD $100,000 or more, up 14 per cent from roughly 3,390 such customers a year ago. Customer growth The second quarter saw continued traction among enterprise clients and organisations scaling their use of Datadog's cloud monitoring and security platform. This expansion was reflected not only in revenue growth, but also in key operational metrics. Highlighting the quarter, Datadog introduced more than 125 new products, capabilities, and features. These were showcased during the company's user conference, DASH. "Datadog had a strong second quarter, with 28 per cent year-over-year revenue growth, USD $200 million in operating cash flow, and USD $165 million in free cash flow," said Olivier Pomel, Co-Founder and Chief Executive Officer of Datadog. Pomel also noted, "At our DASH 2025 user conference, we showcased our rapid pace of innovation, announcing over 125 new innovations to help our customers observe, secure, and act on their complex cloud environments and AI tech stacks." Financial performance For the three months to June 30, 2025, Datadog's GAAP operating loss was USD $(36) million, with a GAAP operating margin of (4)%. The company reported non-GAAP operating income of USD $164 million and a non-GAAP operating margin of 20 per cent for the quarter. GAAP net income per diluted share stood at USD $0.01, while non-GAAP net income per diluted share reached USD $0.46. Datadog's operating cash flow for the quarter was USD $200 million, with free cash flow of USD $165 million. The company ended the period with USD $3.9 billion in cash, cash equivalents, and marketable securities. Product and business highlights Datadog advanced its offerings with key launches including the roll-out of its full range of products and services in the Amazon Web Services' Asia-Pacific (Sydney) Region, building on its presence in North America, Asia, and Europe. The company introduced three new AI agents - Bits AI SRE, Bits AI Dev Agent, and Bits AI Security Analyst - to support interactive investigations and asynchronous code fixes across operations, development, and security functions. Additional product releases included Archive Search, FlexFrozen, and CloudPrem in the log management suite. These are aimed at optimising logging costs and meeting stringent data requirements for regulated industries. The Internal Developer Portal was launched as the first developer portal built on live observability data, and new security products - Code Security, Bits AI Security Analyst, and Workload Protection - were introduced to address security across cloud and AI environments. Datadog also unveiled new capabilities for AI operations, such as AI Agent Monitoring, LLM Experiments, and AI Agents Console, which provide end-to-end visibility and governance of AI agents. From its AI Research division, the company announced Toto, an open-weights model trained with internal observability data, and BOOM, a time series benchmark for observability metrics. Recognition and compliance Among other developments during the quarter, Datadog was named a Leader in the Gartner Magic Quadrant for Observability Platforms for the fifth consecutive year. The company also joined the S&P 500 Index and was added to both the Forbes Global 2000 and the Forbes Global 2000 United States Lists for 2025. In regulatory and compliance moves, Datadog announced progress towards attaining Federal Risk and Authorization Management Program (FedRAMP) High authorisation, which would enable federal agencies to use its monitoring and security products in line with strict compliance standards. Guidance for 2025 Datadog provided its outlook for the third quarter and the full fiscal year 2025. For the third quarter, the company expects revenue between USD $847 million and USD $851 million, and non-GAAP operating income between USD $176 million and USD $180 million. Full year 2025 revenue is projected to be between USD $3.312 billion and USD $3.322 billion, with non-GAAP operating income in the range of USD $684 million to USD $694 million. Non-GAAP net income per share for the full year is expected to be between USD $1.80 and USD $1.83, based on approximately 364 million weighted average diluted shares outstanding.
Techday NZ
4 days ago
- Techday NZ
APAC drives m-commerce growth as brands target user loyalty
Adjust has released its 2025 Shopping App Insights Report, detailing trends in user acquisition and engagement across the global app commerce sector, with a particular emphasis on market changes in the Asia-Pacific (APAC) region. Shift in user acquisition strategy The report highlights a marked shift among brands toward user acquisition strategies prioritising quality over sheer quantity. Rather than focusing solely on driving high numbers of installs, brands are increasingly leveraging AI-powered targeting and smarter engagement tactics to secure loyalty from high-value, engaged users. Globally, the report notes a 14% year-on-year decline in eCommerce app installs in the first half of 2025. Despite this drop, user engagement indicated by app sessions has risen by 2%, suggesting that apps are now attracting fewer, but more involved users. Reattribution efforts have also risen sharply, with the global reattribution share for eCommerce apps up by 29% compared to 2023. This development points to a pronounced focus among brands on re-engaging existing users, rather than purely targeting new customer acquisition. APAC leads global m-commerce growth APAC has outperformed other regions in terms of mobile commerce growth. While installs and engagement in areas such as Europe, North America, and the Middle East and North Africa (MENA) have slowed, APAC saw a 13% increase in app installs and a 2% rise in sessions year-on-year. "Globally and across APAC, we are seeing a mobile commerce landscape that is not only growing, but is also maturing," said April Tayson, Regional Vice President for INSEAU at Adjust. "The most successful shopping apps are those that blend AI-powered targeting with consistent, meaningful experiences across every touchpoint. This is where building trust and engagement that lasts well beyond the install comes in." Marketplace apps achieving stronger engagement The report finds marketplace apps increasingly successful in securing user loyalty. From 2024 to the first half of 2025, shopping apps made up more than three-quarters of all eCommerce installs globally, yet accounted for only 36% of user sessions. By contrast, marketplace apps, despite representing just 20% of installs, drove 60% of sessions and recorded the longest average session duration - 10.69 minutes, compared to 9.89 minutes for eCommerce apps globally. In terms of Day 1 retention, marketplace apps led with 25%, while eCommerce apps experienced a 13% drop in early user retention. The difference underscores the stronger engagement and loyalty facilitated by marketplace-focused platforms. Cost per install differences The report details current cost dynamics, with the global cost per install (CPI) for eCommerce apps at USD $0.99 in Q1 2025. Shopping apps generally commanded a higher CPI of USD $1.01, while marketplace apps came in lower at USD $0.89. Even amid these rising acquisition costs, the click-through rate was unchanged at 2% globally, reflecting stable user engagement across acquisition channels. Emphasis on cross-platform and omnichannel strategies Further analysis in the Adjust report stresses the importance of cross-platform integration. Mobile web, in particular, has become a prominent entry point, with seamless web-to-app flows deemed essential for sustained engagement. The average number of partners per shopping app increased to seven in the first half of 2025 from six in 2023, suggesting brands are increasingly pursuing diversified, omnichannel approaches to reach and retain users. The report describes how mature markets are seeing a plateau in growth, causing brands to develop strategies focused on consolidating user trust and providing cohesive experiences rather than relying on pure acquisition metrics. This year's edition of The Shopping App Insights Report provides a detailed account of shifting priorities in the m-commerce sector, highlighting both global and regional nuances as the industry continues to adapt to new consumer behaviours and technological advancements.
