Dublin, June 07, 2018 (GLOBE NEWSWIRE) -- The "Global Edge Analytics Market: (Focus on Components (Hardware, Software & Services), Country Analysis, End Users, Competitive Landscape, Market Share Analysis, and Region Specific Information) - Analysis and Forecast (2018-2025)" report has been added to ResearchAndMarkets.com's offering.
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.
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.
Key Topics Covered:
Executive Summary
1 Market Overview 1.1 What is an Edge? 1.2 Need of Edge Computing? 1.3 Components of Edge Computing? 1.3.1 Actuators 1.3.2 Smart Devices 1.3.3 Smart Appliances 1.3.4 IoT Smart Gateway 1.4 Field Protocols 1.5 Cloud Protocols 1.5.1 Message Queue Telemetry Transport (MQTT) 1.5.2 Advanced Message Queuing Protocol (AMQP) 1.5.3 Constrained Application Protocol (CoAP) 1.5.4 Hypertext Transfer Protocol (HTTP) 1.6 IoT Management Protocols 1.6.1 Interconnection of Heterogeneous Datalinks 1.6.2 Smart Transducer Interface 1.7 Security in IoT Protocols 1.7.1 MAC 802.15.4 1.7.2 6LoWPAN 1.7.3 RPL 1.7.4 Application Layer
2 Market Dynamics 2.1 Overview 2.2 Impact Analysis 2.3 Market Drivers 2.4 Market Challenges 2.5 Market Opportunities
3 Competitive Landscape 3.1 Key Developments and Strategies 3.1.1 Product Launches 3.1.2 Partnerships and Collaborations 3.1.3 Merger & Acquisition 3.1.4 Business Expansion 3.2 Patent Analysis 3.3 Market Share Analysis by Company
4 Global Edge Analytics Solutions Market, By Mode of Deployment 4.1 Overview 4.2 On Premise 4.3 Hybrid Model
5 Global Edge Analytics Solutions Market, By Components 5.1 Hardware 5.2 Software 5.3 Services
6 Global Edge Analytics Solutions Market, By Application 6.1 Manufacturing and Construction 6.2 Transportation and Logistics 6.3 Entertainment 6.4 Automotive 6.5 Healthcare 6.6 Retail 6.7 Agriculture 6.8 Others
7 Global Edge Analytics Solution Market, By Region
8 Company Profiles
- ADLINK Technology Inc.
- AGT International, Inc
- Altizon Systems
- Amazon Web Services
- Cisco Systems, Inc.
- Corporate Summary
- Dell
- Financial Summary
- Financials
- FogHorn Systems
- GE Corporation
- Greenwave Systems
- HP Inc.
- IBM Corporation
- Intel Corporation
- MachineShop Inc.
- Microsoft Corporation
- Mimik Technology Inc.
- NVIDIA Corporation
- Open-Silicon, Inc
- Oracle Corporation
- PTC Inc.
- Pixeom, Inc.
- PointGrab Ltd.
- Product Mapping
- Qwilt
- SAP
- SAS
- Virtuosys
- Zenlayer
For more information about this report visit https://www.researchandmarkets.com/research/6..._edge?w=12
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