Edge AI plays a crucial role in autonomous vehicles. Edge AI offers prevailing digital transformation opportunities because of real-time analytics and the ability to directly analyze more contextual information. The AI in self-driving cars runs on local processors and interprets the virtual world model to decide what actions to take with the car. With the help of AI-based autonomous vehicles, automakers can analyze the driving patterns and help improve roadways to reduce accidents.
Most of the vendors in the market offer edge AI software to analyze images, videos, gestures, acoustics, and motions, locally on the devices. With the advent of AI and Machine Learning (ML) in edge devices, users can now extract entities from videos and images, and build applications to discover information from the videos.
The global Edge AI Software market is projected to a grow CAGR of +25% during the forecast period.
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Key Market Players Profiled in the Report are: IBM (US), Google (US), Microsoft (US), AWS (US), Nutanix (US), TIBCO (US), Octonion (Switzerland), SWIM.AI (US), Imagimob (Sweden), Anagog (Israel), Foghorn Systems (US), XNOR.AI (US), Bragi (Germany), Invision.AI (Canada), Tact.ai (US), and Veea Systems (England).
This report caters detailed information and different approaches of the top key players in the industry. Likewise the report also yields a broad study of the different market segments and regions. However this report contributes an assessment of the effect of the current patterns in the market including the other needed information about the market’s future development.
The report also implements primary and secondary research techniques for gathering the most crucial pieces of professional information, and applies a number of industry-best techniques upon the data for projecting the future state of the global Specialty Edge AI Software market. Based on current market development, the report includes an analysis of how activities such as mergers and shapes the market’s future.
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To offer a clear understanding of the global Edge AI Software market, several questions have been addressed in the research study concerning the growth of the global Specialty Edge AI Software market. It is also been discussed with respect to projected growth rate of the global Specialty Edge AI Software market in the near future. Also, depending on the ongoing trend of the market, the region which is anticipated to witness high growth in the next few years is studied in detail.
Reason to Access the Edge AI Software Market Research Report:
Edge AI Software Market is segmented on the basis of various parameters. The factors which are impacting the market’s growth are studied in detail. The report also presents a overall weaknesses which companies operating in the market must avoid in order to enjoy sustainable growth through the course of the forecast period. Besides this, profiles of some of the leading players operating and encouraging in the growth of the global market are included in the study. Additionally, using SWOT analysis, markets weaknesses and strengths are analyzed. It also helps the report provide insights into the opportunities and threats that these companies may face during the forecast period.
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Table of Contents:
Global Edge AI Software Market Research Report
Chapter 1 Edge AI Software Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
…….CONTINUED FOR TOC