In today’s highly competitive market scenario, digital companies such as ad tech, fintech, media, and many more are continuously focusing on developing the next big advancement to streamline their business processes.
These market players constantly generate a large amount of new data and manually monitor network performance and user experience. As a company grows, several cases can go undetected unless an anomaly detection tool is adopted to handle the massive volume of metrics.
In recent times, most companies direct anomaly detection systems to reduce the room for human errors and enhance the monitoring of daily or weekly reports. For instance, in March 2020, Fujitsu and Inria developed a technology that automatically creates artificial intelligence (AI) models capable of detecting anomalies in time series data taken from Internet of things (IoT) devices along with other sources.
Subsequently, Amazon Elasticsearch Services have started offering anomaly detection that uses machine learning to detect anomalies on real-time data streaming. Moreover, it identifies problems that help in mitigating them immediately.
Therefore, trending technologies such as machine learning (ML), Big Data, business intelligence and data mining, and artificial intelligence play a significant role in the anomaly detection tools market. These technologies help businesses to reduce the risk of data loss, optimization of business processes, and detect anomalies.
Machine learning is not disconnected from circumstances such as pandemic outbreak, as it is directly influenced and connected to the real world. So businesses that have machine learning tools in production to gain intelligence for customer behavior, sales forecasting, and stock optimization, gets affected by the COVID-19 pandemics.
Also businesses, that are data driven and use ML solutions, need to be prepared to change. Furthermore, in era of COVID 19, spending patterns have changed significantly. Compared to previous year transaction volumes in most retail sectors increased by 74%, as millions of consumers purchase goods, services and entertainment online. Thus demand of anomaly detection tools is anticipated to grow around 5%, by Q4-2020.
Anomaly Detection Tools Gains Prominence in Banking, Financial Services, and Insurance Landscape
Anomaly detection-based fraud prevention and detection solutions are largely common compared with prescriptive and predictive analytics. Such applications need the usual machine-learning model, which is trained on constantly flowing incoming data.
This model in anomaly detection tools is trained to have a baseline sense of normalcy for loan applications, banking transactions, and information for opening a new account. Anomaly detection tools are gaining traction as it notifies human monitors for any deviations from the normal pattern.
Additionally, with the help of machine learning technology, anomaly detection systems are also being used by the BFSI sector for interactions with various other banking entities or operations. Hence, this sector is adopting IT solutions at a swift pace in order to reduce manual dependency to enhance processing efficiency.
High Cost in Installation to Hider the Market Growth
In today’s world, there is an enormous rise in the availability of time-series data streaming. Growing real-time data sources largely drives tools demand. However, high cost of anomaly detection tools along with the availability of open-source alternatives is largely hindering the growth of the anomaly detection tools market. Need for a skilled laborer is increasing the cost of the companies, thereby, negatively affecting the market growth.
Examples of some of the market participants in the global anomaly detection tools market identified across the value chain include
North America will dominate the global anomaly detection tools market. Well-established along with the presence of major sustainable economies investing constantly in R&D activities are contributing to the growth of the market. Consequently, APAC is witnessing the dynamic and advanced adoption of new technologies in recent times.
Due to the rapid increase in the adoption of new technologies coupled with development in IT infrastructure such as IoT, augmented reality, and remote asset management is catapulting the anomaly detection tools market growth.
The anomaly detection tools market report is a compilation of first-hand information, qualitative and quantitative assessment by industry analysts, and inputs from industry experts and industry participants across the value chain. The report provides in-depth analysis of parent market trends, macro-economic indicators, and governing factors, along with market attractiveness as per segment.
The market report also maps the qualitative impact of various market factors on market segments and geographies.
The anomaly detection tools market can be segmented on the basis of component, deployment, technology, vertical and region.
Component:
By Deployment:
By Technology:
By Vertical:
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