Skip to main content

Top 10 IoT Tech Market Development Opportunities

Today, there's growing concern about market disruptions. Savvy CEOs want to be certain they have a sustainable business model that's enabled by the best digital technologies. Are you ready for the next wave of Internet-enabled innovation? Gartner has compiled a list of essential Internet of Things (IoT) technologies that should be on every organization's radar through the next two years, and beyond.

"The IoT demands an extensive range of new technologies and skills that many organizations have yet to master," said Nick Jones, vice president at Gartner. "In many technology areas, lack of skills will also pose significant challenges."

The technologies and principles of IoT will have a very broad impact on many organizations, affecting business strategy, risk management and a wide range of technical talent areas such as architecture and network design. According to Gartner's assessment, the Top 10 IoT Technologies for 2017 and 2018 are:

IoT Security -- The IoT introduces a wide range of new security risks and challenges to the IoT devices themselves, their platforms and operating systems, their communications, and even the systems to which they're connected. Security technologies will be required to protect IoT devices and platforms from both information attacks and physical tampering, to encrypt their communications, and to address new challenges such as impersonating "things" or denial-of-sleep attacks that drain batteries. IoT security will be complicated by the fact that many "things" use simple processors and operating systems that may not support sophisticated security approaches.

IoT Analytics -- IoT business models will exploit the information collected by "things" in many ways — for example, to understand customer behavior, to deliver services, to improve products, and to identify and intercept business moments. However, IoT demands new analytic approaches. New analytic tools and algorithms are needed now, but as data volumes increase through 2021, the needs of the IoT may diverge further from traditional analytics.

IoT Device (Thing) Management -- Long-lived nontrivial "things" will require management and monitoring. This includes device monitoring, firmware and software updates, diagnostics, crash analysis and reporting, physical management, and security management. The IoT also brings new problems of scale to the management task. Tools must be capable of managing and monitoring thousands and perhaps even millions of devices.

Low-Power, Short-Range IoT Networks -- Selecting a wireless network for an IoT device involves balancing many conflicting requirements, such as range, battery life, bandwidth, density, endpoint cost and operational cost. Low-power, short-range networks will dominate wireless IoT connectivity through 2025, far outnumbering connections using wide-area IoT networks. However, commercial and technical trade-offs mean that many solutions will coexist, with no single dominant winner and clusters emerging around certain technologies, applications and vendor ecosystems.

Low-Power, Wide-Area Networks -- Traditional cellular networks don't deliver a good combination of technical features and operational cost for those IoT applications that need wide-area coverage combined with relatively low bandwidth, good battery life, low hardware and operating cost, and high connection density. The long-term goal of a wide-area IoT network is to deliver data rates from hundreds of bits per second (bps) to tens of kilobits per second (kbps) with nationwide coverage, a battery life of up to 10 years, an endpoint hardware cost of around $5, and support for hundreds of thousands of devices connected to a base station or its equivalent. The first low-power wide-area networks (LPWANs) were based on proprietary technologies, but in the long term emerging standards such as Narrowband IoT (NB-IoT) will likely dominate this space.

IoT Processors -- The processors and architectures used by IoT devices define many of their capabilities, such as whether they are capable of strong security and encryption, power consumption, whether they are sophisticated enough to support an operating system, updatable firmware, and embedded device management agents. As with all hardware design, there are complex trade-offs between features, hardware cost, software cost, software upgradability and so on. As a result, understanding the implications of processor choices will demand deep technical skills.

IoT Operating Systems -- Traditional operating systems (OSs) such as Windows and iOS were not designed for IoT applications. They consume too much power, need fast processors, and in some cases, lack features such as guaranteed real-time response. They also have too large a memory footprint for small devices and may not support the chips that IoT developers use. Consequently, a wide range of IoT-specific operating systems has been developed to suit many different hardware footprints and feature needs.

Event Stream Processing -- Some IoT applications will generate extremely high data rates that must be analyzed in real time. Systems creating tens of thousands of events per second are common, and millions of events per second can occur in some telecom and telemetry situations. To address such requirements, distributed stream computing platforms (DSCPs) have emerged. They typically use parallel architectures to process very high-rate data streams to perform tasks such as real-time analytics and pattern identification.

IoT Platforms -- IoT platforms bundle many of the infrastructure components of an IoT system into a single product. The services provided by such platforms fall into three main categories: (1) low-level device control and operations such as communications, device monitoring and management, security, and firmware updates; (2) IoT data acquisition, transformation and management; and (3) IoT application development, including event-driven logic, application programming, visualization, analytics and adapters to connect to enterprise systems.

IoT Standards and Ecosystems -- Although ecosystems and standards aren't precisely technologies, most eventually materialize as application programming interfaces (APIs). Standards and their associated APIs will be essential because IoT devices will need to interoperate and communicate, and many IoT business models will rely on sharing data between multiple devices and organizations.

In summary, Gartner believes that many IoT ecosystems will emerge, and commercial and technical battles will dominate areas such as the Smart Home, the Smart City and Healthcare applications. Organizations may have to develop product variants to support multiple standards or ecosystems and be prepared to update products during their life span as the standards evolve and new standards and related APIs emerge.

Popular posts from this blog

How to Drive Value Creation from Digital Business

Across the globe, many forward-thinking CEOs and CFOs continue to fund business technology investments that enable meaningful and substantive digital transformations, ahead of their industry peer group. That's why CIOs and other IT leaders must now accelerate the quest for value creation and drive digital growth from those ongoing investments, according to the latest market study by Gartner. "The pressure on CIOs to deliver digital dividends is higher than ever," said Daniel Sanchez-Reina, VP Analyst at Gartner . "CEOs and boards anticipated that investments in digital assets, channels, and digital business capabilities would accelerate growth beyond what was previously possible." Digital Business Market Development   CIOs expect IT budgets to increase 5.1 percent on average in 2023 -- that's lower than the projected 6.5 percent global economy inflation rate. A Gartner survey analysis revealed several ways in which CIOs can deliver "digital dividends&qu

Digital Transformation Investment at $3.4 Trillion

Business technology leadership matters. Across the globe, more leaders have been pursuing bold Digital Transformation (DX) initiatives with the goal of creating new sources of business value through digital products, services, and experiences. As an additional benefit, the COVID-19 pandemic revealed that digital transformation efforts improve an organization's resilience against global market disruptions. Global DX investment is forecast to reach $3.4 trillion in 2026 with a five-year compound annual growth rate (CAGR) of 16.3 percent, according to the latest worldwide market study by International Data Corporation (IDC). Digital Transformation Market Development "Despite strong headwinds from global supply chain constraints, soaring inflation, political uncertainty, and an impending recession, investment in digital transformation is expected to remain robust," said Craig Simpson, senior research manager at IDC . The benefits of investing in DX technology -- including aut

Artificial Intelligence for National Border Security

National border protection agencies are under pressure to provide the highest level of security in the face of growing threats, such as increasing illegal migration and international terrorism. Now, government agencies are embracing advanced border security technologies to aid in effectively and reliably securing national borders. These solutions look to detect and identify potential threats and prevent them from escalating to a point that may jeopardize security. Security Surveillance Market Development Traditional border security patrols and Closed-circuit Television (CCTV) surveillance systems aren't adequate protection, and agencies must increasingly deploy new solutions to stay ahead of criminals and other potential threats to ensure the safety of a country’s borders. According to the latest market study by Juniper Research, the value of the border security technology market will exceed $70 billion globally in 2027 -- that's rising from $48 billion in 2022. Growing by 47 p