Edge Analytics Market

[145 Pages Report] The edge analytics market expected to grow from USD 1.94 billion in 2016 to USD 7.96 billion by 2021, at a CAGR of 32.6% from 2016 to 2021.

Edge analytics refers to the approach of capturing, monitoring, and analyzing the data at the edge of the network devices such as sensors, routers, gateways, switches, and others. The analytical computation is done at the edge of the devices without waiting for the data to be received back at centralized storage system and then imply analytical applications. This has not only decreased the latency in the decision-making process on connected devices but also provided scalability. The advent of Internet of Thing (IoT) and the growing demand for edge analytical solutions due to its effectiveness have increased the demand for edge analytics. The base year considered for the study is 2015, and the forecast has been provided for the period between 2016 and 2021.

Edge Analytics Market Dynamics

Drivers

• Advent of IoT and proliferation of massive amount of data through connected devices
• Predictive and  real-time intelligence on network devices acts as a catalyst to the growth of edge analytics
• Adoption of edge analytics increases scalability and cost optimization

Restraints

• Issues pertaining to safety and security
• Lack of universally accepted standards

Opportunities

• Increasing demand of more edge analytical solutions across industries
• Growing adoption of supported technologies (like IoT, machine learning, natural language processing, visualization, fog computing, cloudlet etc.)
• Use data ‘wholly’, reducing operation cost and boost performance through predictive maintenance etc.
• Growing demand of edge analytics in Business-to-Business (B2B) as compared to consumer applications

Challenges

• Restructuring organization’s data strategy in order to avoid siloes environment
• Reluctance of companies to invest in new technologies
• Infrastructural constraints

Predictive and real-time intelligence on network devices acts as a catalyst to the growth of edge analytics market

Predictive analytics has been a forefront driver of analytics and currently is being deployed in the edges of the network to

provide analytics at the edge (routers, switches, gateways) thereby reducing the cost of data transmission, storage, and processing which are significant during data analysis on centralized analytic hubs. Predictive analytics has been a key driver of growth for edge analytics that capitalizes on embedding pre-defined intelligence (algorithms) to the server, where it can take its decision based on the earlier patterns. Real time analytics on the edge are used by traffic department to act on the real time intelligence to reduce traffic jams, divert the traffic, and so on. Traffic lights are deployed with sensors with analytic capabilities to identify traffic jams, emergency vehicles (such as ambulances, police vehicles, and convoy), and take actions on the impulse. Similarly, oil and gas companies are using real-time predictive analytics on the edge of the devices to detect anomalies (rising temperatures and acoustic sensing) and can pre-warn officials by sending signals, whistles, initiating alarms to prevent catastrophe.

The following are the major objectives of the study.

• To describe and forecast the global edge analytics market on the basis of component, type, business application, deployment model, vertical, and region.
• To forecast the market size of the five main regional segments, namely, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA), and Latin America.
• To strategically analyze sub-segments with respect to individual growth trends, future prospects, and contribution to the total market.
• To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges).
• To analyze the opportunities in the market for stakeholders and to provide details of a competitive landscape for major players.
• To comprehensively analyze core competencies of key players.
• To track and analyze competitive developments such as mergers and acquisitions, new product developments, and partnerships and collaborations in the market.

The research methodology used to estimate and forecast the edge analytics market begins with capturing data on key vendor’s revenues through secondary research. The vendor offerings are also taken into consideration to determine the market segmentation. The bottom-up procedure was employed to arrive at the overall market size of the global edge analytics market from the revenue of the key players in the market. After arriving at the overall market size, the total market was split into several segments and sub-segments, which were then verified through primary research by conducting extensive interviews with key people, such as CEOs, VPs, directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and to arrive at the exact statistics for all segments and sub-segments. The figure below shows the breakdown of the primaries on the basis of the company type, designation, and region considered during the research study.

To know about the assumptions considered for the study, download the pdf brochure

The edge analytics ecosystem comprises vendors, such as, Cisco Corporation (US), Oracle Corporation (US), SAP SE (Germany), SAS Institute (US), Apigee Corporation (US), Predixion Software (US), AGT International Inc. (Switzerland), Foghorn Systems (US), CGI Group Inc. (Canada), Analytic Edge (India), and Prism Tech (UK).   Major stakeholders of the edge analytics market include Independent Software Vendors (ISVs), cloud service providers, business analytics software providers, application design and software developers, system integrators and IT service providers.

Major Developments

• In July 2016, Cisco collaborated with IBM Watson IoT, to provide instant Internet of Things (IoT) insight at the edge of the network. This collaboration combines the power of IBM Watson IoT with Cisco edge analytics, which helps enterprises to make real-time informed decisions based on business-critical data.
• In April 2016, SAS Institute launched SAS Analytics for IoT that helps analyze enormous data generated from IoT sensors and devices. The analytics software is capable of analyzing moving data and draw insights in real-time that ensures smooth operations and increase profits of organizations. 
• In November 2015, Cisco acquired ParStream, an analytics database company. The acquisition results into enhancing Cisco’s capabilities of providing deep analytics at the network edge, where maximum data is generated. The data would be analyzed in real time and would help organizations to take quick and actionable decisions.

Target Audience

• Edge analytics platform providers
• Cloud service providers
• Business analytics software providers
• Application design and software developers
• System integrators
• It service providers

Edge Analytics Market Report Scope

By Component

• Solution
• Services

By Type

• Descriptive analytics 
• Predictive analytics
• Prescriptive analytics
• Diagnostic analytics

By Business Application

• Marketing
• Sales
• Operations
• Finance
• Human Resources

By Deployment Model

• On-premises
• On-cloud

By Vertical

• Healthcare and Life Sciences
• BFSI
• Manufacturing
• Retail and Consumer Goods
• IT and Telecommunication
• Transportation and Logistics            
• Media and Entertainment
• Energy and Utility
• Government and Defence
• Travel and Hospitality        
• Others

By Region

• North America
• Europe
• Middle East and Africa (MEA)
• Asia-Pacific (APAC)
• Latin America

Critical questions which the report answers

• What are new application areas which the edge analytics companies are exploring?
• Which are the key players in the market and how intense is the competition?

Available Customizations

Based on the given market data, MarketsandMarkets offers customizations in the reports as per the client’s specific requirements. The available customization options are as follows:

Product Analysis

• Product matrix which gives a detailed comparison of product portfolio of each company

Company Information

• Detailed analysis and profiling of additional market players (Up to 5)

The overall edge analytics market is expected to grow from 1.94 billion in 2016 to USD 7.96 billion by 2021, at a Compound Annual Growth Rate (CAGR) of 32.6 %. The key factors driving the growth rate in this market are advent of IoT and proliferation of massive amount of data through connected devices, predictive and real-time intelligence on network devices, and the increased scalability and cost reduction provided by edge analytics act as catalysts to the growth of edge analytics market.

Edge analytics refers to the approach of capturing, monitoring, and analyzing the data at the edge of the network devices such as sensors, routers, gateways, switches, and others. The analytical computation is done at the edge of the devices without waiting for the data to be received back at centralized storage system and then imply analytical applications. This has not only decreased the latency in the decision-making process on connected devices but also provided scalability.

The edge analytics market is segmented by component, such as solutions and services. Edge analytics Solutions are expected to account for a larger market share while services are expected grow at a higher CAGR during the forecast period. Proliferation of industrial IoT and smart cities is driving the growth of edge analytical solutions and services. Moreover, real-time analysis and reduction in costs due to less transfer of data to central analytical hubs is forcing enterprises to deploy solutions and services.

The edge analytics market in APAC is expected to grow at the highest CAGR during the forecast period. Edge analytics will see higher adoption in the market as the government is trying to push the markets for IoT and cloud technologies. In India, the new government is promoting Digital India Program with a vision to transform India into a digitally empowered society and knowledge economy. The companies operating in the APAC region will benefit from the flexible economic, industrialization motivated, globalization policies of the government as well as the expanding digital market that will have a huge impact on the business community.

Reed sensor applications in home appliances, HVAC, and smart meters drive the growth of reed sensor market

IT and Telecommunications

The IT and telecommunication industry is expected to have the highest growth rate in the edge analytics market during the forecast period. Telecommunication industry is aggressively deploying edge analytical solutions. Earlier, analytical information was limited to mobile packet core, however new analytical capabilities are needed to provide real-time information across the network that includes Radio Access Network (RAN). As telecommunication industry is reaching its saturation point, telecom vendors would have to find new opportunities to create revenue streams. Edge analytics will play an important part in processing the data and minimizing latencies. Analysis of data on the sensors and gateways would be effective in converting data into actionable insights and help in improving crop drops and other related networking issues. 

Energy and Utilities

The energy and utility industry is looking for advanced solutions to get actionable insights. The industry is undergoing major transformation with the advent of smart sensors, smart meters, and IoT-based technologies. The industry generates huge chunks of data from oil wells, utility grids, gas grids, smart grids, and other sensors. Terabytes of data is generated from structured as well as unstructured sources, which need to be analyzed and get real-time insights. Such challenges are driving these industries to adopt analytics to gain insights and secure the market competitiveness, increase energy competitiveness, increase energy efficiency, manage risks, and lower operational cost.

Transport and Logistics

The implementation of edge analytics solutions in the transportation industry can create a rich and complete picture of insights gathered from the various touch points, such as smartphones, websites, booking counters, freight management system, ticketing system, toll booth systems, and traffic management systems. This is expected to eventually give an opportunity for the business analytics in the transportation and logistics sector to leverage big data tools and predictive analytics to help transportation agencies improve operations, reduce costs, and better serve customers

Critical questions the report answers:

• Where will all these developments take the industry in the mid to long term?
• What are the upcoming industry applications for edge analytics?

Issues pertaining to safety and security, lack of universally accepted standards are some of the obstacles hindering in the growth of the edge analytics market. Enterprises are quick to adopt analytics to help them get real-time insights and improve decision making capabilities. However, there are serious concerns among the enterprises about security breaching and security lapses deploying edge analytics solution. Analytics on the network device can be a risky endeavor as it is exposed to third party solution for deploying sophisticated hardware and software. Further, analyzing data in the real-time raises the question of compliances and need of the hour for edge analytics solution providers, is to provide additional security features that beholds the trust of the stakeholders and the customers at the large in adopting edge analytics solution.

Key players in the market include Cisco Corporation (US), Oracle Corporation (US), SAP SE (Germany), SAS Institute (US), Apigee Corporation (US), Predixion Software (US), AGT International Inc. (Switzerland), Foghorn Systems (US), CGI Group Inc. (Canada), Analytic Edge (India), and Prism Tech (UK). These players have majorly adopted the strategy of partnerships, collaborations, and agreements to enhance their business footprints to cater to the market in a better way as compared to the competitors.

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