Global Edge AI Software Market Analysis, Drivers, Restraints, Opportunities, Threats, Trends, Applications, and Growth Forecast: 2019–2028

“Global Edge AI Software Market Analysis Trends, Applications, Analysis, Growth, and Forecast to 2028” is a recent report generated by MarketResearch.biz. The global Edge AI Software (C-RAN) market report has been segmented on the basis of component, data source, application, product type, and region.

Global Edge AI Software Market: Overview

Edge Artificial Intelligence (AI) software is a combination of edge computing technology and machine learning. This AI software automatically turns raw data into movements or events, predictions, insights without costly analysis of data and big data. The software tools that are offered are in the form of frameworks and software development kit which offers benefit of merging AI abilities with software applications. In this edge AI software, an AI algorithm is processed on the hardware devices with the help of sensors and signals. There is no need to stay connected to devices as it is able to process independently without any connection and is able to make decisions.

Global Edge AI Software Market: Dynamics

The integration of edge devices with artificial intelligence can helps to reduce threats, latency, and is able to enhance reliability are major factor expected to drive growth of the global edge AI software market. In addition, increasing need for real-time operations that are important for robots, self-driving cars, and rising demand from various end-use industries are factors expected to fuel growth of the global edge AI software market. Some benefits that is provided by this edge AI software includes low power usage hence, improving battery life is another factor projected to drive growth of the global edge AI software market.

Moreover, as data is transmitted in this technology, edge AI will reduce the cost of data communications by storing and streaming huge amount of data to cloud which makes data secure from attackers. This is factor expected to drive growth of the global edge AI software market. Increasing volume of workloads in various enterprisers on cloud and rapid growth in development activities of innovative solutions are factor projected to boost growth of the global edge AI software market.

Furthermore, emerging 5G network in order to integrate telecom services and IT and increasing need for application that provide reduced latency with quick response time are factors expected to drive growth of the global target market. Edge AI software offers solutions for enterprisers to store and access data that need a real time response, and it also offers organizations to choose either to discard unnecessary data or to store it. This are some factors expected to drive growth of the target market.

However, concerns related to security and privacy of data are major factors expected to hamper growth of the global edge AI software market.

Global Edge AI Software Market: Segment Analysis

Among data source segments, the video and image recognition segment is projected to account for largest revenue share in the global edge AI software market as edge AI software is used to analyze video and images on local devices.

Global Edge AI Software Market: Region Analysis

Asia Pacific market is expected to account for highest revenue share in the global edge AI software market.  The presence of leading players in this region especially in India, China, and Japan are major factor expected to drive growth in Asia Pacific.

Global Edge AI Software Segmentation:

Segmentation by Component:

• Solution
• Services

 Segmentation by Data Source:

• Video & Image Recognition
• Speech Recognition

Segmentation by Application:

• Access Management
• Video Surveillance
• Autonomous Vehicles
• Remote Monitoring & Predictive Maintenance
• Telemetry

Segmentation by Product Type:

• Software Tools
• Software Platforms

Segmentation by Region:            

• North America
• Latin America
• Europe
• Asia Pacific
• Middle East & Africa