Tech Features
5 KEY TECHNOLOGY TRENDS AFFECTING THE SECURITY SECTOR IN 2026
By Johan Paulsson, Chief Technology Officer at Axis Communications; Matt Thulin, Director of AI & Analytics Solutions at Axis Communications; and Thomas Ekdahl, Engineering Manager – Technologies at Axis Communications
It came as a surprise that this is the 10th time that we’ve looked at the technology trends that we think will affect the security sector in the coming year. It feels like only yesterday that we sat down to write the first – a reminder of how quickly time passes, and how fast technological progress continues to move.
Something that’s also become clear is that a completely new set of trends doesn’t appear year-on-year. Rather, we see an evolution of trends and technological developments, and that’s very much the case as we look towards 2026. Technological innovations regularly arrive, which impact our sector. Artificial intelligence, advancements in imaging, greater processing capabilities within devices, enhanced communications technologies…these and more have impacted our industry.
Even technologies which still seem a distance away, such as quantum computing, may have some potential implications in the near-term in preparing for the future. While we focus here on tech trends, it’s worth highlighting a shift that we’ve seen in recent years: the increasing involvement and influence of the IT department over decisions related to security and safety technology. The physical security and IT departments now work in close collaboration, with IT heavily involved in physical security purchasing decisions.
That influence, we feel, is central to the first of our trends for 2026…
1. “Ecosystem-first” becomes an important part of decision making
At a fundamental level, the greater influence of the IT department is changing the perspective regarding security technology purchasing decisions. We call this an “ecosystem-first” approach, and it influences almost every subsequent decision. Today, however, we start to see a trend that the first decision is increasingly defined by the solution ecosystem to which the customer wants to commit. In many ways, it’s analogous to how IT has always worked: decide on an operating system, and then select compatible hardware and software.
The ecosystem-first approach makes a lot of sense. With today’s solutions including a greater variety of devices, sensors, and analytics than ever before, seamless integration, configuration, management, and scalability is essential. In addition, product lifecycle management, including, critically, ongoing software support, becomes more achievable within a single ecosystem.
Committing to a single ecosystem – one offering breadth and depth in hardware and software from both the principal vendor alongside a vibrant ecosystem of partners – is the primary decision.
2. The ongoing evolution of hybrid architectures
A hybrid architecture as the preferred choice isn’t new. In fact, it’s something we’ve highlighted in previous technology trends posts. But it continues to evolve. Sometimes evolution can seem quite subtle. In reality, we’re seeing some fundamental shifts.
We’ve always described hybrid as a mix of edge computing within cameras, cloud resources, and on-premise servers. While that’s still the same today, what’s changing is the balance of resources, as capabilities are enhanced and new use cases emerge. Edge and cloud are becoming much more significant, with the need for on-premise server computing resources reduced.
This is largely a result of enhanced computing power and capabilities within both cameras and the cloud. More powerful edge AI-enabled surveillance cameras can, put simply, handle more than ever before. Improved image quality, the ability to more accurately analyze scenes and create valuable metadata have seen cameras take on tasks previously handled on the server.
Similarly, with such a wealth of data being created, cloud-based resources have the analytical power required to surface business intelligence and insights to enhance operational effectiveness.
There can still be legitimate reasons to retain some on-premise resources, such as network video recorders, but the true value is increasingly coming from edge devices and cloud resources. Ultimately, it’s a trend that meets both the IT department’s drive for efficiency, the security team’s desire for solution quality and effectiveness, and the data integrity and security needs of both.
But, even if hybrid architectures are a trend, we must not forget that a vast majority of all solutions are still very much on-prem solutions, and this will be the case for a long time.
3. The increased importance of edge computing
In many sectors, like the automotive industry, the need and potential for edge computing has only been recognized relatively recently. As regular readers will know, however, the value of increased computing resources within devices at the edge of the network has been a feature of our technology trends predictions for several years. Enhanced capabilities mark the beginning of a new era of edge.
In many ways, the increased importance of edge computing is directly related to the evolution of hybrid architectures described in the previous trend. When hybrid solutions have included edge, cloud, and server technologies, the full potential of edge AI hasn’t always been fully realized. With on-premise servers able to support some tasks, there has been less motivation to move these to the edge.
This is already changing and will accelerate over the coming year. This is in part due to the enhanced AI available to the edge, within devices themselves. The discussion and decisions about where to deploy AI across surveillance solutions – using the strengths of edge AI in devices and the power of cloud-based analytics – has brought focus to the capabilities of cameras and the increasing variety of edge AI-enabled sensors. These bring benefits in both effectiveness and efficiency.
Edge processing generates both business data — actionable insights derived directly from the scene — and metadata, which describes the objects and scenes within it. This information has become the basis for efficient scaling of system functionality, such as smart video searches, and for generating system wide insights. Edge processing enables a much smoother scaling of system compute performance, as the system performance grows with each added edge device.
The arguments against moving more to the edge, such as cybersecurity challenges, have diminished. With the strong cybersecurity capabilities of edge devices, such as secure boot and signed OS, they now have become a strong part of the overall system security solution.
4. Mobile surveillance on the rise
Mobile surveillance solutions, like mobile trailers, aren’t a trend in themselves. For numerous reasons – commercial and technological – mobile surveillance has already seen significant growth and is set to explode over the next year.
From a technological perspective, improved connectivity has helped unlock the ability to employ more advanced, higher-quality surveillance cameras in mobile solutions. Remote access and edge AI has further enhanced the capabilities of mobile surveillance solutions. This immediately makes them an attractive option in a greater variety of situations, from public safety to construction sites to festivals and sporting events.
Power management within surveillance cameras has also advanced, resulting in lower power utilization without a compromise in quality. This is particularly important where mobile surveillance solutions are making use of battery power and renewable energy. A mobile surveillance solution can also be more straightforward to approve than a permanent installation.
Ultimately, these factors mean that security and safety can be ensured in places where it is difficult or undesirable to place physical security personnel.
5. Technology autonomy: Easier said than done!
Less a new trend, and more a reflection on one of our trends from last year where we highlighted how companies across many sectors were looking to gain more control over key technologies essential to their products. Automotive companies looking to design their own semiconductors to mitigate against supply chain disruption was an example.
As many of those organizations are finding, however, extending an organization’s focus from its traditional business (e.g. making cars) to a fundamentally different and potentially highly complex area (e.g. designing semiconductors) is easier said than done. Attempts also highlight how interconnected global supply chains are, and that true autonomy is impossible to achieve.
As we have done for many years here at Axis, focus for technological autonomy should be on the areas of a business that make a fundamental difference to the offering. Designing our own system-on-chip (SoC), ARTPEC, which Axis started doing more than 25 years ago, has given us ultimate control over our product functionality.
An example of the benefit of this has been our ability to be the first surveillance equipment vendor to provide AV1 video encoding to our customers and partners, in addition to H.264 and H.265. It also allows us to prepare for future technologies that will bring opportunities and risks, even those that still seem many years in the future.
While we always enjoy putting together our thoughts on the trends that will define the industry over the coming year, our perspective stretches much further into the future. This is what gives us the ability to plan for and develop the innovations that continue to meet the evolving needs of customers, and opportunities to improve safety, security, operational efficiency and business intelligence.
Innovation doesn’t happen in isolation, however. The best ideas emerge through collaboration, by listening to our customers and understanding their challenges, by maintaining close relationships with our partners, and by exploring solutions together. These partnerships are what will continue to drive progress as we move into 2026 and beyond, whichever way the technological winds may blow.
Tech Features
UBER, MICROSOFT MOVES SIGNAL NEW PHASE IN ENTERPRISE AI ADOPTION

Expert commentary by Andreas Hassellöf, CEO of Ombori, on how enterprises are turning AI investment into measurable operational value and shifting from experimentation to disciplined adoption centred on workflows, governance, and business outcomes.
Large enterprises are beginning to speak more openly about the growing gap between AI adoption and measurable business outcomes, as companies reassess whether rising AI costs are translating into meaningful productivity gains.
Uber President and COO Andrew Macdonald recently said the company is finding it “harder to justify” increasing AI spending after internal discussions highlighted the difficulty of linking higher usage of AI coding tools such as Claude Code to a proportional increase in useful consumer-facing features. The comments followed reports that Uber had exhausted its 2026 budget for Claude Code within the first four months of the year, while CEO Dara Khosrowshahi confirmed the company is slowing hiring as it increases investment in AI initiatives.
At the same time, Microsoft has reportedly begun reducing internal use of Anthropic’s Claude Code within parts of its business, shifting developers toward GitHub Copilot CLI instead. Reports suggested the move was tied to Microsoft’s broader push toward its own AI ecosystem and internal tooling strategy rather than a retreat from AI adoption itself.
The developments have triggered wider debate around whether enterprises are entering a more measured phase of AI adoption, with greater focus on operational value, integration, and cost management rather than usage alone.
However, Andreas Hassellöf, CEO of Ombori, believes the issue is less about the capability of AI and more about how organisations are adapting to it.
“The real challenge has nothing to do with whether AI can increase productivity. It clearly can,” Hassellöf said. “The harder part is getting people and organisations to adapt how they actually work so the technology delivers results.”
According to Hassellöf, many companies are seeing high adoption rates and surging token consumption but are struggling to convert that activity into measurable business value. “The bottleneck is rarely the technology itself,” he said. “It is how teams change their processes, measure real outcomes, and build new habits around the tools.”
He added that the industry is now entering a more mature phase of enterprise AI adoption, where businesses are beginning to move beyond experimentation and focus instead on operational discipline, governance, and measurable outcomes. Companies that succeed, he said, will be the ones that redesign workflows around AI rather than simply layering tools onto existing processes.
“Just chatting casually with an AI coding tool and expecting it to handle everything is not enough,” Hassellöf said. “It wastes tokens and often creates more problems than it solves.”
Instead, he argues that successful AI implementation requires structured workflows where multiple AI agents handle specialised tasks such as coding, reviewing, testing, and formatting, while humans remain responsible for setting goals, reviewing outputs, and ensuring alignment with business outcomes.
“The technology is powerful, but the human side of adoption will decide whether a company succeeds with AI or whether it becomes just another expensive experiment,” he said.
Tech Features
THE MIDDLE EAST’S DIGITAL FAULT LINES: A RESILIENCY BLUEPRINT FOR CIOS AND CTOS
Ahmad Shakora, Group Vice President- META, Cloudera
We are now in an era where digital connectivity underpins many areas such as commerce, security, governance, and social life.
In the Middle East, with ever-changing external factors, access to data has transitioned into a critical asset, with organisations and nations increasingly focused on protecting a vast array of information.
For businesses operating in this region, traditional efficiency-focused IT strategies are no longer sufficient. Robust business continuity and disaster recovery must take center stage.
The expanding risk matrix
The current operating environment highlights several areas of vulnerability for global digital infrastructure, demonstrating that risks can be either planned or entirely unexpected:
- Government interventions can result in significant, sudden internet restrictions. Additionally, physical data center infrastructure is susceptible to multiple external factors. Severe and unpredictable environmental events, including extreme heat and unexpected flooding, can place a strain on the physical and cooling infrastructure of centralized data centers, forcing facilities offline
- Unexpected impact on physical infrastructure can arise, causing noticeable latency
- Total reliance on centralized third-party platforms amplifies operational risks. These can stem from planned events, such as routine maintenance and vendor migrations, or unplanned events, such as global software updates that inadvertently lead to widespread, cascading outages
In response to these varied and potentially compounding threats, the Gulf Cooperation Council is shifting from efficiency-first cloud adoption to resilience-first planning. Nations are accelerating investments in localized data centers, sovereign cloud environments, and multi-channel data access architectures that can withstand both cyberattacks and physical military threats.
In the UAE, the sovereign cloud market is projected to grow at a compound annual rate of 23% through 2033, signalling a sustained commitment to securing critical data and reducing exposure to fragile global dependencies.
When resilience becomes the backbone of survival
These external forces elevate Business Continuity and Disaster Recovery from a regulatory checkbox to a fundamental requirement for corporate survival. For CIOs and CTOs operating in the Middle East, ensuring operational resilience requires highly specific architectural choices.
Tech leaders who view infrastructure through a purely technical lens may be vulnerable. Data infrastructure must function as a strategic fortress. Resilience must supersede efficiency as the primary design goal. To continue operating amidst disruptions, tech leaders should look for the following differentiators when building their enterprise data infrastructure:
1. Cloud power, local control: do not put all the eggs in the public cloud basket. Organizations need a setup that works the same way whether it is in a giant data center or a small server at a remote branch. By running mini-clouds locally, enterprises keep the speed and control without being at the mercy of a service provider’s outage. Infrastructure must allow organizations to run data and AI workloads anywhere, converging the best of public cloud with on-premises deployments, including secure air-gapped environments.
2. Maintain internal control over enterprise AI: if there are disruptions to internet access or travel is restricted, AI shouldn’t stop working. Sovereign Private AI, by design, brings the thinking power to where the data actually sits. This keeps sensitive data secure and ensures automated systems stay online even if the rest of the world goes offline.
3. Diversify technology partners: tech leaders should implement an Open Data Lakehouse architecture that unifies 100% of the organization’s data to avoid vendor lock-in and catastrophic single points of failure. A critical design principle to look for is the strict separation of compute and storage. By utilizing highly scalable, S3-compatible object storage independently from computing power, enterprises can leverage robust data replication and erasure coding to ensure high durability, guaranteeing that all backup data remains safely within sovereign boundaries.
4. One view, no silos: managing fragmented data across a region during a crisis can be chaotic. CIOs need a Unified Data Fabric that breaks down silos and provides a single view of all organizational data with centralized, end-to-end security and governance across complex hybrid environments. Coupled with this, infrastructure must support Data in Motion: the ability to seamlessly move and process real-time data from any source to any destination. If a subsea cable is damaged or a data center goes offline, this capability ensures business-critical decisions can still be made seamlessly as traffic reroutes.
5. Visibility & isolation: Operational survival requires extreme visibility. A resilient infrastructure must feature granular observability across the full IT stack for proactive health monitoring, incident response, and data-flow policy enforcement. By using containers to isolate different tasks, enterprises can ensure that if one part of the business encounters technical issues, the risk is contained, protecting critical operations.
The future of business in the Middle East belongs to leaders who treat their infrastructure as a sovereign fortress.
True resilience requires moving past simple cloud adoption to build localized, hyper-resilient architectures that remain fully functional when global networks fail. CIOs and CTOs must now prioritize digital autonomy by anchoring their most critical operations in hardened, local environments that can withstand physical and international uncertainties. By designing for total isolation, leaders can ensure their organization remains operational and secure regardless of regional instability. The ultimate competitive advantage is the ability to maintain power and connectivity.
Tech Features
FIVE WAYS B2B MEDTECH MARKETPLACES ARE RESHAPING HEALTHCARE BUSINESS
Healthcare and wellness businesses across the GCC are growing in a market that is becoming more digital, specialised, and commercially active. The GCC healthcare market is projected to grow from $121.9 billion in 2025 to $170.5 billion by 2030, according to Research and Markets, creating stronger demand for trusted platforms that connect buyers, sellers, service providers, and investors. Yet many businesses still rely on personal networks, fragmented supplier searches, and informal channels when selling equipment, finding operational support, or exploring business transactions.
MedSahra, the first B2B MedTech ecosystem platform focused on healthcare and wellness trade across the GCC, outlines five facts that show how marketplaces can bring more structure to this evolving sector.
Verified businesses build trust
Healthcare transactions often involve high-value assets and licensed businesses, which makes trust essential from the first interaction. A B2B marketplace becomes stronger when sellers and buyers are verified before they engage with others. This can include requesting documentation that confirms a company is legally registered and operational. For buyers, this reduces uncertainty. For sellers, it creates a more credible environment where serious business conversations can begin with greater confidence.
Private listings support business sales
Selling a healthcare or wellness business is often sensitive because owners may not want staff, competitors or the wider market to know they are exploring a transaction. In many cases, owners are left to rely on word-of-mouth or private referrals because there is no clear, specialised marketplace for these opportunities. Public listings can create unnecessary concern among employees, patients, and competitors before a deal is even serious. Private listings can make this process more practical by allowing sellers to present opportunities discreetly, while helping buyers discover small private clinics to large hospitals in different sectors, including general, dental, dermatology, cosmetology, pediatric and others areas, with existing infrastructure, equipment, and customer bases.
Equipment access becomes more efficient
Medical equipment is a major investment, yet many owners struggle to sell pre-owned devices through the usual channels. In some cases, distributors may only buy back equipment when the owner is purchasing a new device, which leaves clinic owners with limited options when they simply want to sell. A dedicated marketplace creates a clearer route for listing and discovering all types of medical and wellness equipment, whether new or pre-owned, across healthcare and wellness categories, including dental, diagnostic, general medical, cosmetology and others. This is increasingly relevant as the UAE medical devices market is projected to grow from $3.18 billion in 2025 to $4.71 billion by 2032, according to Fortune Business Insights. Marketplaces can also help users find providers for repair, calibration, upgrades and spare parts.
Support services become easier to find
Running a clinic or wellness business requires more than medical expertise, and finding reliable service providers can be a constant operational challenge. Owners often depend on search engines, personal recommendations, or scattered supplier contacts when they need support for digital marketing, accounting, logistics, customs, software development, printing, pest control, equipment repair, calibration, hardware upgrades, or software upgrades. A B2B marketplace can make supplier discovery more structured by bringing relevant service providers into one professional ecosystem where businesses can compare options and start conversations more efficiently.
Consulting adds structure to transactions
Complex business decisions often require specialist support, especially when buying equipment, selling a clinic, or preparing for a larger transaction. Consulting partners can support areas such as M&A, accounting, audit, legal guidance, equipment planning, and operational readiness. This advisory layer is becoming more important as healthcare providers adopt more connected technologies, with GCC connected medical devices and wearables projected to grow at a CAGR of around 20.19% between 2025 and 2030, according to MarkNtel Advisors. A marketplace that connects businesses with relevant experts can help transactions become more informed, secure, and commercially viable.
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