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Top three trends driving threat intelligence market: escalating demand for mobile-based solutions to augment the industry landscape by 2025

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The exponential growth graph depicted by the global threat intelligence market in the recent years can undoubtedly be credited to the massive surge in the number of connected endpoints. Presently, there are more than 3 billion end-users across the world that are connected to the Internet, while connected-devices are anticipated to surpass the 50 billion mark by year 2020. Having understood the dependency of these endpoints on the Internet to be able to interact with each other, cybercriminals have been exploiting the reliance to obtain an unauthorized access to the connected endpoint devices to undertake numerous malicious activities.

U.S. Threat Intelligence Market Revenue, By Component, 2018 & 2025
U.S. Threat Intelligence Market Revenue, By Component, 2018 & 2025

Threat intelligence market | Impact of rising mobile cyberattacks

The global threat intelligence market is expected to amass substantial returns from mobile-based solutions, due to the exponential rate at which cases of mobile cyberattacks & mobile frauds are growing. According to a 2018 report by ThreatMetrix, the first two quarters of 2018 witnessed the cases of mobile attacks across the globe reach the 150 million mark with attack rates growing 24% year-over-year. While the growing penetration of mobile devices has undoubtedly been a crucial factor in the rise of digital commerce, the trend has also proved to be extremely conducive for numerous malicious entities to carry out fraudulent activities.

Moreover, other growing trends such as Choose Your Own Device (CYOD) & Bring Your Own Device (BYOD) being adopted across a number of enterprises, while facilitating greater convenience, are creating more vulnerabilities in the organization networks. Fueled by these trends the global threat intelligence market share from mobile-based solutions will grow at a CAGR of more than 18% over 2019-2025.

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Threat intelligence market | Impact of the growing healthcare cyberattacks

As the global healthcare sector goes through a digital transformation, wherein it is adopting new technologies to enhance the level of patient care & medical treatments while continuing to facilitate patients with life-critical services, the vulnerabilities that are being created or exposed by this transformation phase are being treated as opportunities by criminal & malicious entities for their own personal gain. According to the Center for Internet Security, these threats range anywhere between malwares, that are designed to compromise the privacy of the patients & the integrity of the systems, to Distributed Denial of Service (DDoS) attacks, that are designed to hamper a facility’s ability of providing proper patient care. While these issues plague other industrial & infrastructural sectors as well, the ramifications of a cyberattack on a healthcare facility go far beyond financial losses & privacy breaches.

According to the Southern Medical Association, as cyberattacks continue to proliferate, the global healthcare industry remains a primary target. In fact, 2017 witnessed the most successful data breaches in history, bringing legal consequences & detrimental financial losses to the victims and costing organizations more than $5 billion in accumulated financial losses & estimated total payouts. As healthcare organizations store a copious amount of information associated with their patients, cyberattacks, aiming to gain access to these data reserves, would be continuing to occur in the sector, generating significant opportunities for the threat intelligence market contenders. Indeed, the global threat intelligence market is projected to witness a CAGR of 13% over 2019-2025 from the healthcare industry.

Threat intelligence market | Impact of increasing cyberattacks on Government Institutions

As with other sectors, the world’s government institutions are also making their transition to the digital world, leaving their conventional pen & paper practices behind for higher operating efficiencies. This trend has provided cyber-criminals an ideal opportunity, wherein they target specific government institutions for their own financial or idealistic gains. One recent instance of this is the cyberattack that targeted the local government of Atlanta, USA. According to the American Bar Association, the entire city of Atlanta was trapped in a hostage situation, wherein the city’s digital infrastructure was taken over by a powerful ransomware.

The criminals disabled internet access, encrypted the files stored on the system and demanded an upfront Bitcoin payment in exchange for the decryption key that restored access to these files. According to federal authorities, the ransomware attack caused losses of more than $30 million and could cost taxpayers & the city more than $17 million to completely recover from the damages caused.

Attributing to these three determinants, it is unmistakably clear, that the global threat intelligence market would be witnessing tremendous growth in the years to come. In fact, according to a report by Global Market Insights, Inc., the overall threat intelligence market size is slated to surpass the $13 billion renumeration mark by 2025.

Author NameAkshay Kedari

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Europe artificial intelligence (AI) in manufacturing market to register a lucrative CAGR of 44% over 2019-2025, cybersecurity to emerge as a prominent application segment

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Rising pressure on businesses to sustain profitability and improve efficiency has thrusted the artificial intelligence (AI) in manufacturing market into global recognition, with the need for better quality management, material movement, inspection and predictive maintenance. The growing use of IoT and other means of communication has also created a necessity for ensuring cybersecurity, further bringing AI into play. The advent of industry 4.0 has brought with it the integration of all types of technology-related changes into an organization, which has allowed the growth of AI in manufacturing industry to handle and manage these changes efficiently. Continuous advancements in technology have also led to the development of more complex and functional electronic components, requiring accurate programs and production automation to be implemented and monitored.

U.S. Artificial Intelligence in Manufacturing Market Revenue, By Technology, 2018 & 2025
U.S. Artificial Intelligence in Manufacturing Market Revenue, By Technology, 2018 & 2025

Machine learning, for instance, has the potential to assist floor managers in devising most cost-effective and efficient production, maintenance and quality control plans, underlining the importance of the AI in manufacturing market. It is widely known that robots have been deployed in almost every manufacturing industry to replace humans in hazardous and more time consuming operations. Using AI to help control these robots and report their progress would help save companies enormous amounts of time and money, realized by reduction in errors and idle time. The ability of AI-enabled robots to be suited for 24-hr production schedule will help improve the competitiveness of businesses and meet rising customer demand for key automobile, appliance and aircraft components.

As evident, the AI in manufacturing industry can prove crucial in refining production and associated operations across numerous business verticals. Regions comprising of mostly developed economies, such as North America and Europe, represent key proponents of AI, with vast investment pools into R&D as well as high labor costs which calls for a more automated production system. Europe in particular has some of the most automated industries in the world. According to the International Federation of Robotics (IFR), Germany is ranked third in the world in terms of automation, with 309 robot units deployed for every 10,000 employees. Sweden and Demark boast of a high degree of automation as well, with 223 and 211 units of industrial robots installed in the manufacturing segment per 10,000 workers.

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In addition to these nations, other EU members have also adopted robots eagerly to take advantage of the long-term financial benefits they deliver, presenting tremendous growth opportunities for the AI in manufacturing market. Europe has witnessed the rise of many producers of hardware components that are compatible with AI technology, besides the augment of software providers and start-ups aiming to offer unique AI experiences. Reports indicate that the region has a constantly growing AI community, where U.K. supposedly has the largest AI ecosystem in the region with Germany, Spain and France close behind. Presence of world leading automakers, electronics product manufacturers, FMCG businesses and consumer goods producers in Europe provides key development and funding opportunities for emerging AI technology firms.

Speaking further, U.K. itself holds more than 120 AI companies while Germany has just over 50, demonstrating their capability to become dominant forces in the Europe AI in manufacturing industry. AI software and platforms are increasingly being designed to counter cyberthreats in this age of IIoT and connectivity, which will be major driving factor for AI in manufacturing market. In 2018, it was reported that nearly 48% of manufacturers in the U.K. had experienced cyber security incidents till date and half of them had even suffered business disruption or financial losses as a result. With most of an organization’s production and individual data stored on their business platforms, AI will certainly be indispensable for cybersecurity applications in the near future.

All in all, owing to the existence of numerous technology firms and surging investments in automation solutions, the AI in manufacturing market in Europe is anticipated to witness a 44% CAGR from 2019 to 2025. Key software and hardware providers based in Europe, such as Graphcore and SAP, as well as formation of technology partnerships with start-ups by American firms like Google, IBM and Microsoft in the region will define the competitive dynamics of the AI in manufacturing industry.

Author NamePankaj Singh

Fog computing market to garner massive popularity in the tech cosmos over 2017-2024, driven by the extensive scope of IoT across numerous industry domains

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The explosive amplitude of IoT, spanning virtually every sphere, has a pivotal role to play in the expansion of fog computing market. Still considered a plausible tech sub-space by mere mortals, this business domain, an inherent extension of the cloud computing industry, is likely to actually emerge as a viable niche vertical, starting 2018, as per the predictions of The US office of National Institute of Standards and Technology (NIST). Subject to its extraordinary ability to support latency-sensitive and vertically-isolated applications by means of providing a scalable, ubiquitous, distributed, and layered network connectivity, storage, and computing, fog aims to simplify processing and IoT infrastructure. In consequence, there has been an increasing surge in exploiting the unused IT infrastructure for fog computing applications that need to compute resources in a global network. Subsequently, this has led to fog computing market gaining heavy momentum, reinforcing the buzzword of ‘fog technology’ across myriad domains.

U.S. Fog Computing Market Size, By Component, 2016 & 2024 ($Mn)
U.S. Fog Computing Market Size, By Component, 2016 & 2024 ($Mn)

The far-reaching application spectrum of fog computing industry is quite evident from the numerous instances of companies tapping the fog space making headlines. A recent precedence is that of Storj Labs and SONM teaming up to enable fog computing through blockchain technology. Elaborating further, Storj Labs, a software provider has joined hands with Supercomputer Organized by Network Mining (SONM) in order to bring about distributed instances of persistent storage implemented by Storj Labs available to organizations incorporating SONM’s blockchain. Accordingly, SONM plans to build a peer-to-peer blockchain network – effectively a fog computing instance that would deal with the computing and storage of resources on the edge of a global network. The partnership marks substantial importance in fog computing marketing, having established the fact that blockchain technology and fog computing are two strongly intertwined mechanisms.

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The end-use landscape of fog computing market is rather humongous and versatile, though this does not exactly come as a surprise, given how minutely IoT has brought every object under the umbrella of the Internet. As per reliable estimates, the data analyzed on devices functioning on IoT will soon approach a mammoth 40%. It has also been speculated that by the year 2020, 10% of global data will be generated by edge devices. This would fuel the demand for highly efficient fog computing solutions that simultaneously deliver holistic intelligence and low latency, subsequently driving fog computing industry size, slated to cross USD 700 million by 2024. Numerous real-time instances of the benefits of this technology have already made inroads in fog computing market – recently, the IoT company Plat One made headlines for having tapped into fog computing for improving data processing management in its 1 million sensors.

It is pivotal to mention that mainstream hardware component developers, such as Intel, Cisco, and Dell have been making a headway in fog computing industry, as is evidenced from their interest in joining forces with vendors dealing in machine learning and IoT analytics. Through the proposed dealerships, these companies would be able to deliver IoT gateways that support fog computing. Recently in fact, Cisco took a dive in fog computing market with the acquisitions of Jasper, an IoT platform provider and ParStream, a reputed company specializing in IoT analytics. Unrefutably, these buyouts would help the electronics giant to incorporate its networking component infrastructure with highly efficient computing capabilities, which would subsequently reinforce its position in the fog computing market. Following Cisco’s lead, numerous analytics software companies have also been attempting to develop new tools for fog computing – Apache’s Spark for instance is apt for real-time processing of fog-generated data. In effect, it would be diplomatic to state that fog computing market indeed would emerge as one of most remunerative business spaces of the next decade, traversing a highly profitable growth path over 2017-2024.

Author Name : Saipriya Iyer