Edge Artificial Intelligence (AI) software is a combination of cutting-edge computing and machine learning technology. This AI app converts raw data into moves or events, forecasts, observations without expensive data analysis, and big data. The software tools offered are in the form of frameworks and software development kit that offers the benefit of merging AI capabilities with software apps. With the help of sensors and signals, an AI algorithm is processed on the hardware devices in this edge AI program. There is no need to remain attached to devices as it can be independently processed without any contact and is able to make decisions.

Market Highlights

The global edge AI software market is expected to surpass USD 1160 million by 2030 from USD 360 million in 2019 at a CAGR of 30.5% throughout the forecast period i.e. 2020-2030. The global edge AI software market is anticipated to grow on the back of the rising amount of enterprise workloads on the cloud and the rapid growth in the number of intelligent applications.

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Integrating edge devices with AI will help rising risks, latency, and reliability is expected to drive growth in the edge AI software market across the globe. Additionally, the rising need for real-time operations that are important for robots, self-driving cars, and the increasing demand from various end-users are factors expected to fuel the growth of the global edge AI software market.

Global Edge AI Software Market Opportunity Analysis

Source: Fatpos Global

Global Edge AI Software Market: Segments

Platforms segment to grow at the fastest CAGR of xx% during 2020-2030

The global edge AI software market is segmented by components into solutions (software tools, platforms) and services (training & consulting, system integration & testing, support & maintenance). Among these, the platform segments comprised of the largest market share of xx% in the year 2019. The edge AI platforms offer users AI applications that enable small devices with intelligence and data processing capabilities. The users can extract actionable insights in real-time from the data generated at the edge and enhance the customers’ experience.

By Components (in %), Global Edge AI Software Market, 2019

Source: Fatpos Global

Video & Image Recognition segment to grow at the fastest CAGR of xx% during 2020-2030

The worldwide edge AI software market is segmented by data sources into video & image recognition, speech recognition, biometric data, sensor data, and mobile data. Among these, the video & recognition segment is estimated to hold the largest market share of xx% in 2019. 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.

By Data Sources (in %), Global Edge AI Software Market, 2019

Source: Fatpos Global

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By Application (in %), Global Edge AI Software Market, 2019

Source: Fatpos Global

GlobalGlobal Edge AI Software Market: Drivers and Restraints

Quick Prototype

Transforming the business requirements into technological solutions needs plenty of time and planning. Therefore, with the help of machine learning, the developers can shorten this process by simply enabling the less technical domain professionals in order to develop the technologies by using visual interfaces of natural languages.

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Accurate Estimates

It is seen that software development always overflows the budget and deadlines pre-decided. To cope with this, accurate estimates require profound expertise, understanding the context, and being familiar with the team of implementers. Machine learning helps train data from past projects be they user accounts, descriptions of functions, and estimates to predict effort and budget.

Global Edge AI Software Market: Regions

North America expected to be the fastest-growing region with a CAGR of xx% during 2020-2030

The global edge AI software market is segmented by region into North America, Latin America, Europe, Middle East & Africa, and the Asia Pacific. Among these, North America is witnessed to hold the largest market share of xx% in the year 2019. Growing investments in the data management strategies, the presence of the maximum number of edge AI software vendors, and increasing government spending on AI-based technologies are expected to contribute to the market growth during the forecast period.

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Table Of Contain:

Contents
1. Executive Summary
2. Edge AI Software
2.1. Product Overview
2.2. Market Definition
2.3. Segmentation
2.4. Assumptions and Acronyms
3. Research Methodology
3.1. Research Objectives
3.2. Primary Research
3.3. Secondary Research
3.4. Forecast Model
3.5. Market Size Estimation
4. Average Pricing Analysis
5. Market Dynamics
5.1. Growth Drivers
5.2. Restraints
5.3. Opportunity

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5.4. Trends
6. Recent Development, Policies & Regulatory Landscape
7. Risk Analysis
7.1. Demand Risk Analysis
7.2. Supply Risk Analysis
8. Edge AI Software Industry Analysis
8.1. Porters Five Forces
8.1.1. Threat of New Entrants
8.1.2. Bargaining Power of Suppliers
8.1.3. Threat of Substitutes
8.1.4. Rivalry
8.2. PEST Analysis
8.2.1. Political
8.2.2. Economic
8.2.3. Social
8.2.4. Technological
9. Global Edge AI Software Market
9.1. Market Size & forecast, 2019A-2030F
9.1.1. By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10. Global Edge AI Software: Market Segmentation
10.1. By Regions
10.1.1. North America: (U.S. and Canada)
• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.1.2. Latin America: (Brazil, Mexico, Argentina, Rest of Latin America)
• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.1.3. Europe: (Germany, UK, France, Italy, Spain, BENELUX, NORDIC, Hungary, Poland, Turkey, Russia, Rest of Europe)
• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.1.4. Asia-Pacific: (China, India, Japan, South Korea, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia Pacific)
• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.1.5. Middle East and Africa: (Israel, GCC, North Africa, South Africa, Rest of Middle East and Africa)
• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.2. By Component: Market Share (2020-2030F)
10.2.1. Solutions, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.2.2. Services, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.3. By Data Sources: Market Share (2020-2030F)
10.3.1. Video & Image Recognition, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.3.2. Speech Recognition, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.3.3. Biometric Data, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.3.4. Sensor Data, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.3.5. Mobile Da6ta, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.4. By Application: Market Share (2020-2030F)
10.4.1. Autonomous Vehicles, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.4.2. Access Management, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.4.3. Video Surveillance, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.4.4. Remote Monitoring & Predictive Maintenance, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

…….Continued

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