Edge AI Software Market research report presents a comprehensive study of the Edge AI Software Market in Global Industry. Edge AI software enables aggregation; processing, computation, and analysis of data present near or on the edge devices by leveraging AI and IoT technologies. The software helps to process data on edge nodes even in remote and decentralized networks, without cloud connectivity. Integrating AI with IoT in edge devices helps enterprises to minimize latency, reduce bandwidth, lessen threats, avoid duplication, improve reliability, and maintain compliance. Moreover, edge AI software solutions enable an organization to utilize the computing resources in an optimal manner, minimize the bandwidth required to execute the solution, and lower the latency in particular response time.
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Edge AI Software Market Top Key Players:
IBM, Microsoft, Intel, Google, TIBCO, Cloudera, Nutanix, Foghorn Systems, SWIM.AI, Anagog, Tact.ai, Bragi, XNOR.AI, Octonion, Veea Inc, Imagimob and others
Segmentation by product type:
– Software Tools
Segmentation by application:
– Autonomous Vehicles
– Access Management
– Video Surveillance
– Remote Monitoring & Predictive Maintenance
This report also splits the market by region:
– Americas: United States, Canada, Mexico, Brazil
– APAC: China, Japan, Korea, Southeast Asia, India, Australia
– Europe: Germany, France, UK, Italy, Russia, Spain
– Middle East & Africa: Egypt, South Africa, Israel, Turkey, GCC Countries
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Research Objectives of The Report:
- To study and analyse the global Edge AI Software market size by key regions/countries, product type and application.
- To understand the structure of Edge AI Software market by identifying its various sub segments.
- Focuses on the key global Edge AI Software key players, to define, describe and analyse the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
- To analyse the Edge AI Software market with respect to individual growth trends, future prospects, and their contribution to the total market.
- To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
- To project the size of Edge AI Software submarkets, with respect to key regions (along with their respective key countries).
- To analyse competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
- To strategically profile the key players and comprehensively analyse their growth strategies.
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Table of Contents:
1 Scope of the Report
1.1 Market Introduction
1.2 Research Objectives
1.3 Years Considered
1.4 Market Research Methodology
1.5 Economic Indicators
1.6 Currency Considered
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Edge AI Software Market Size 2014-2024
2.1.2 Edge AI Software Market Size CAGR by Region
2.2 Edge AI Software Segment by Type and others
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