Market Research Report

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Market Overview

The Internet of Things (IoT) is bolstering the growth of many industries and is amplifying the value provided by the organizations to their customers. Smart cities, smart manufacturing, connected cars, and location-based intelligence are several ways through which IoT solutions are establishing a connected ecosystem. However, the success and evolution of this ecosystem depends upon the ability of IoT solutions to process data (generated by sensors and other devices) in real time at the network’s edge.

Although, the emergence of cloud technologies has made it possible to develop such an ecosystem, there are challenges associated such as enhanced connectivity requirements and latency issues. Pushing huge amounts of data to the cloud for computation and awaiting analytical results may tremendously increase data transmission costs and simultaneously damage valuable milliseconds required for instantaneous feedback thus damaging real time responsiveness. Billions of devices are generating data with tenacity and making sense this big data will require huge investments in the expansion of computational resources such as analytics, storage and networking software in conjunction with computing platforms. Also, the IoT implementation requires skilled staff complex integration of different devices from different manufacturers having their own set of standards. Hence, organisations utilising traditional approaches to data analytics will need to heavily invest in the expansion of IT resources to leverage the full potential of IoT.

Edge computing or Edge analytics, comes as a solution to help organizations overcome the infrastructure limitations. The technology is an evolution of cloud computing/analytics and an industrial manoeuvre to go one step ahead of democratising data analysis capabilities. It allows data processing right at the point where it is generated (for example: sensors, gateways etc.). Hence, instead of sending data to the cloud for processing and waiting for the analytical results, edge computing pushes the computation part to the edge of a network thus saving on response time as well as data transmission costs.

The global edge analytics market was estimated to be $2.14 billion in 2017, and is expected to reach $13.44 billion by the end of 2025, registering a CAGR of 22.2% during the forecast period, 2018-2025. The expected double-digit growth can be attributed to the rapid proliferation in the number of connected devices and the continuous explosion of data generated by these devices. According to Cisco, a global networking company, there will be nearly 20 billion connected devices by the end of 2020, generating zettabytes of data. An average internet user is expected to generate 1.5 GB of data every day and the video traffic will also reach nearly a petabyte every day. However, there are various factors impeding the market growth and serve as challenges for the stakeholders, such as lack of standardization of network protocols, newly introduced data privacy regulations, integration of devices and identification of edge nodes. Despite the challenges, the edge analytics ecosystem provides the stakeholders with enormous opportunities. The rising amount of capital investments into the IoT ecosystem is a key determinant of growth in the edge analytics market and will further proliferate in the upcoming years. Local governments in countries such as Australia, the U.S., India, South Korea are heavily focussed on improving the operational efficiencies of their businesses and expansion in the organizational infrastructure.

Currently, the global edge analytics market is a blend of a multitude of players from public cloud, ISVs, and networking companies and each company is entering the market from a different perspective. The current market landscape comprises of players such as: Microsoft, IBM, Google, Amazon AWS (Public cloud providers), Cisco, AT&T (networking companies), Oracle (Independent software vendors/ ISVs) and Schneider Electric, GE digital, and Siemens (industrial automation companies) among others

Key Questions Answered in this Report:

•    What are the major market drivers, challenges and opportunities in the global edge analytics solutions market?
•    What was the market value of the leading segments and sub-segments of the global edge analytics solutions market in 2017?
•    How will each segment of the global edge analytics solutions market grow during the forecast period and what will be the revenue generated by each of the segments by the end of 2025?
•    What are the influencing factors that may affect the market share of the key players?
•    How will the industry evolve during the forecast period 2018- 2025?
•    What are the key developments and strategies that are being implemented by the key players to sustain in this market?
•    What are the key application areas of the global edge analytics solutions market? How each of the application areas are employing edge computing?
•    Who are the key players in the global edge analytics solutions market and what are their contributions?
•    What is the scope for expansion by the key players of the global edge analytics solutions market in East and South-East Asia?

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Global Edge Analytics Market

Focus on Components, Mode of Deployments (On Premise, Hybrid and Others), Applications (Manufacturing, Transportation and Others), Competitive Landscape, and 20 Country's Analysis - Analysis and Forecast (2018-2025)

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