Fleet management has experienced transformational advancements in digitalization over the past 2 decades. Primordial applications like vehicle tracking have evolved into real-time performance monitoring and video telematics. Current technology providers are continuing to push the innovation envelope, driving fleet management into another era of transformation.
Working in a competitive industry demands that you become a data-driven organization. As a technology solution provider, effectively leveraging data can unlock significant advantages, such as driving market expansion and fostering innovation. Unfortunately, all too many companies lack an analytical approach to decision-making.
The business case for 4G/5G private wireless networks has been established across the Industrial Internet of Things (IIoT) markets, evidenced by increased adoption in recent years. Private cellular network operators offer mobile services and technical specifications focused on specific industries and regions, resulting in more tailored network deployments than what you might get with a consumer-focused operator.
Numerous types of Internet of Things (IoT) connectivity technologies exist, some well-established and others just emerging in the market. Choosing a wireless solution is one of the most important decisions a company makes when deploying IoT devices. The network capabilities of the many wireless technologies can vary greatly, making it imperative to ensure the right solution is being selected for your unique IoT environment. At the same time, wireless connectivity vendors must understand how their solution(s) hold up against the competition.
Few technologies receive as much attention today as the Internet of Things (IoT). IoT adoption goes hand-in-hand with a company’s digitization efforts, providing actionable insight and real time data into operations. IoT devices and service use cases continue to expand and offer organizations essential data to improve how they do business. As solution providers compete with one another to differentiate their offerings, several IoT trends are emerging. Here are five of those key trends to track in 2024, as reported in ABI Research’s 82 Technology Trends That Will—And Will Not—Shape 2024. Before we look into our analysts’ future predictions, let’s review some of the most notable IoT statistics our analysts have compiled.
If your business uses a video surveillance system, it’s likely deployed on-premises. I also bet that your company outsources installation and maintenance services to a System Integrator (SI). If this sounds like your company, you’re not alone; most businesses today operate surveillance operations this way. However, cloud video surveillance solutions are reshaping the commercial surveillance industry. Cloud-based camera solutions allow Small and Medium Enterprises (SMEs) to leverage advanced surveillance features conveniently and cost-effectively. Security and business outcomes once unimaginable for smaller companies are now within arm’s reach.
Market research goes hand-in-hand with maximizing profits at a business enterprise. Whether you’re a vendor or an enterprise implementer of a new technology, in-depth, data-backed intelligence can safely guide your organization toward sustained success. Technology research deliverables identify potential roadblocks and lucrative revenue opportunities for organizations, while giving you a reliable partner to consult with when questions about your respective market inevitably arise. Take, for example, the technology market research case studies we recently compiled, showcasing how our forward-looking methodologies help some of our biggest clients with their digitization journeys. In this blog post, let’s review four of these case studies to give you a better idea of what kind of results you can expect from ABI Research as a technology intelligence partner.
For the past 2 decades, the video surveillance market has seen a swift migration from analog and Closed-Circuit Television (CCTV) cameras to Internet Protocol (IP) cameras. Today’s IP cameras are cheaper, more powerful, and have greater intelligence than legacy cameras, providing significant value to security departments and business units. Now a staple in commercial surveillance, video analytics extends beyond its historical home in security departments. Thanks to advancements in Artificial Intelligence (AI) and edge computing, customers can leverage a new and improved form of this technology, often called intelligent video analytics. Intelligent video analytics software leverages AI and Computer Vision (CV) to detect objects, people, activities, etc. This is a game-changer for businesses, as it transforms their camera platforms into data-gathering Internet of Things (IoT) devices that send alerts and notifications, which can then be turned into actionable insight.
The introduction of video analytics solutions got off to a rocky start many years ago. The biggest problem was that companies promised more than their analytics software could actually deliver. While this led to great mistrust in the technology, commercial customers have warmed up to intelligent video solutions once again. ABI Research forecasts that the global installed base of video surveillance cameras will reach 1.2 billion by 2030, thanks to technological advancements in edge-based Artificial Intelligence (AI) and Machine Learning (ML). New and improved edge-based AI and ML capabilities of cameras have peeled back the onion, and underneath the surface lies a world of diverse video analytics applications and use cases. This blog post lists six video analytics companies and intelligent surveillance providers using advanced technologies like AI and ML to help customers strengthen their surveillance apparatuses.