Miami, FL -- (SBWIRE) -- 03/26/2019 -- Edge AI Software bring computing and decision-making capabilities from the cloud to nearby or on-the-edge devices by leveraging AI and Internet of Things (IoT) technologies, jointly. Edge AI software enables aggregation, processing, computation, and analysis of the data present on or on nearby edge devices.

The Global Edge AI Software Market size is estimated to grow at a Compound Annual Growth Rate (CAGR) of +25% during the forecast period.

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.

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The major factors fueling the market growth include the increasing enterprise workloads on the cloud and rapid growth in the number of intelligent applications. The increasing adoption of edge AI software in autonomous vehicles' applications could provide growth opportunities for the edge AI software vendors in the market.

Top Companies Profiled in this Report includes, IBM (US), Microsoft (US), Google (US), AWS (US), Octonion (Switzerland), Anagog (Israel), TIBCO (US), SWIM.AI (US), Imagimob (Sweden), Foghorn Systems (US), Nutanix (US), Invision.AI (Canada), Tact.ai (US), XNOR.AI (US), Bragi (Germany), Veea Systems (England), And, Many more….

Edge AI Software market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis.

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Recent trends and developments in the global Edge AI Software market have been analyzed. Opportunities leading to the growth of the market have been analyzed and stated. Drivers and restraints impacting the growth of the market have also been analyzed. A segmentation of the global market has been done for the purpose of a detailed study. The market is segmented on the basis of key criteria. Data on the leading and fastest-growing segments along with what drives them has been given. This report implements a balanced mix of primary and secondary research methodologies for its analysis.

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
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Edge AI Software Market Forecast