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.
Edge AI software tools are a combination of Machine Learning (ML) and edge computing technology, and automatically turns raw data into events, insights, and predictions, without big data and costly analysis. The software tools that are being offered in the edge AI software market are in the form of Software Development Kits (SDKs) and frameworks, which allow users to integrate AI capabilities in the application software.
Market Analyst’s predicted the Edge AI Software market is expected to grow worth of USD + $1152 Billion and Market is exhibiting a strong +26% CAGR over the forecast period 2019-2025.
The research report Global Edge AI Software Market Report 2025 offers a clear understanding of the subject matter. The report has been compiled using primary and secondary research methodologies. Both these methods are aimed towards collaborating precise and meticulous data pertaining the market dynamics, historical events, and the current market scenario. Furthermore, the report also includes a SWOT analysis that determines the strengths, weaknesses, opportunities, and threats impacting the segments of the overall market.
Leading Edge AI Software Market Players:
IBM, Google, Microsoft, AWS, Nutanix, TIBCO, Octonion, SWIM.AI, Imagimob, Anagog, Foghorn Systems, XNOR.AI, Bragi, Invision.AI, Tact.ai, and Veea Systems.
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Global Edge AI Software Market Segmentation:
By Product Types:
Software Tools, Software Platforms
Autonomous Vehicles, Access Management, Video Surveillance, Remote Monitoring & Predictive Maintenance, Telemetry
United States, Europe, China, Japan, Southeast Asia, India, Central & South America
The major factors driving the growth of the edge AI software market are the increasing enterprise workloads on the cloud and rapid growth in the number of intelligent applications. Furthermore, the emergence of the 5G network to bring IT and telecom together and growing demand for applications with minimized latency and quick response time is expected to be providing opportunities for the growth of organizations from various industry verticals in the market.
This Edge AI Software market research study gives a sneak-peak through the summary which comprises of overall data such as, segments, sub-segments, info graphics, charts, tables and diagrams. The research also helps in probing the in its forecast period. The study explores and estimates the modest landscape, popular business models and the apparent innovations in offerings by major players in the coming years.
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Key questions answered in this research report:
-What are the major key players operating across the global regions?
-What are the major strengths and weaknesses of the global market?
-What are the effective and applicable sales strategies?
-Who are the vendors of the global Edge AI Software market?
-What are the global opportunities to expand the businesses?
Table of Contents
Global Edge AI Software Market Research Report 2019-2025
Chapter 1: Industry Overview
Chapter 2: Edge AI Software Market International and China Market Analysis
Chapter 3: Environment Analysis of Market.
Chapter 4: Analysis of Revenue by Classifications
Chapter 5: Analysis of Revenue by Regions and Applications
Chapter 6: Analysis of Edge AI Software Market Revenue Market Status.
Chapter 7: Analysis of Industry Key Manufacturers
Chapter 8: Sales Price and Gross Margin Analysis of Market.
Chapter 9: Marketing Trader or Distributor Analysis of Market.
Chapter 10: Development Trend of Edge AI Software Market 2019-2025.
Chapter 11: Industry Chain Suppliers of Market with Contact Information.
Chapter 12: New Project Investment Feasibility Analysis of Market.
Chapter 13: Conclusion of the Edge AI Software Market Industry 2025 Market Research Report
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