Edge Artificial Intelligence (AI) Software Market Business Scenario Analysis By Global Industry Trend, Share, Sales Revenue, Growth Rate and Opportunity Assessment till 2028

The global edge Artificial Intelligence (AI) software market size reached USD 585.1 Million in 2020 and is expected to register a CAGR of 20.1%, during the forecast period, according to latest analysis by Emergen Research. Global edge Artificial Intelligence software market revenue growth is expected to be driven by increasing number of AI applications, rapid introduction of 5G network globally, and rising demand for real-time operations, which are crucial for robotics and self-driving vehicles.

However, concerns regarding privacy and security of edge AI software is expected to hamper growth of the global edge AI software market to a certain extent over the forecast period.

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Some Key Highlights From the Report

• The solution segment revenue is expected to expand at a significant CAGR during the forecast period. Increasing adoption of edge AI software across various industries due to high flexibility and support provided by edge AI solutions is expected to boost revenue growth of this segment going ahead.
• The video & image recognition segment is expected to lead in terms of revenue over the forecast period due to increasing adoption of edge AI software for video & image recognition across various industries.
• Factors such as increasing strategic alliances among major IT companies to develop advanced edge AI software in countries in North America is expected to drive growth of the market in the region during the forecast period.
• Key players in the market include Microsoft Corporation, Alphabet Inc., Nutanix, Inc., International Business Machines Corporation, Synaptics Incorporated, Bragi GmbH, TIBCO Software Inc., FogHorn Systems, Inc., Invision AI Inc., and Amazon Web Services.
• In October 2019, FogHorn Systems, Inc. introduced a new Lightning Edge AI software functionality. Tools and upgrades for inspiring operations technology (OT) experts are among the functions. The modern drag-and-drop analytic software functionality and richer visualization dashboards allow OT personnel to draw insights from real-time data quite easily without any requirement of data science support.

Emergen Research has segmented the global edge AI software market on the basis of component, data source, application, end-use, and region:

• Component Outlook (Revenue, USD Million; 2018–2028)
o Services
o Solutions
• Data Source Outlook (Revenue, USD Million; 2018–2028)
o Mobile Data
o Biometric Data
o Video & Image Recognition
o Sensor Data
o Speech Recognition
• Application Outlook (Revenue, USD Million; 2018–2028)
o Video Surveillance
o Telemetry
o Autonomous Vehicles
o Remote Monitoring
o Field Service Support
o Energy Management
o Smart Wearables
o Precision Agriculture
o Predictive Maintenance
o Access Management
o Point of Sales
o Augmented Reality & Virtual Reality
o Others
• End-Use Outlook (Revenue, USD Million; 2018–2028)
o Manufacturing
o Government
o BFSI
o Healthcare
o Retail
o Telecom
o Media & Entertainment
o Energy & Utilities
o Automotive
o Others

The research study also offers insights into various regulatory frameworks and evaluates the growth of the industry in each key region of the world. The report also provides an assessment of the micro and macro-economic factors influencing the growth of the market in the mentioned regions. The global Edge Artificial Intelligence (AI) Software market is segmented into the following based on the key regions of the world:
North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

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Exhaustive Analysis of the Competitive Landscape of the Global Edge Artificial Intelligence (AI) Software Market:

• The global Edge Artificial Intelligence (AI) Software market report zeroes in on the overall competitive scope of this industry vertical.
• The study provides detailed product information, alongside their specifications and prime applications.
• The study entails various pricing models and profit returns accrued, outlined by the key contenders across the market.
• The report enlists a wide array of strategic initiatives, for example, recent business deals, collaborations, joint ventures, mergers & acquisitions, product launches, and technological upgradation.
• The inference of the report comprises an exhaustive study of the key players of the market.

Table of Content

Chapter 1. Methodology & Sources
1.1. Market Definition
1.2. Research Scope
1.3. Methodology
1.4. Research Sources
1.4.1. Primary
1.4.2. Secondary
1.4.3. Paid Sources
1.5. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2021–2028
Chapter 3. Key Insights
Chapter 4. Edge AI Software Market Segmentation & Impact Analysis
4.1. Edge AI Software Market Material Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Market indicators analysis
4.2.2. Market drivers analysis
4.2.2.1. Increasing number of artificial intelligence applications
4.2.2.2. Increasing introduction of 5G network
4.2.2.3. Rising enterprise workloads on cloud
4.2.2.4. Increasing developments of Internet of Things (IoT)
4.2.3. Market restraints analysis
4.2.3.1. Concerns regarding privacy and security of edge AI software
4.2.3.2. Interoperability issues of edge AI software with core systems
4.3. Technological Insights
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.6. Competitive Metric Space Analysis
4.7. Price trend Analysis
4.8. Covid-19 Impact Analysis
Chapter 5. Edge AI Software Market By Component Insights & Trends, Revenue (USD Million)
5.1. Component Dynamics & Market Share, 2021–2028
5.1.1. Services
5.1.2. Solutions
Chapter 6. Edge AI Software Market By Data Source Insights & Trends, Revenue (USD Million)
6.1. Data Source Dynamics & Market Share, 2021–2028
6.1.1. Mobile Data
6.1.2. Biometric Data
6.1.3. Video & Image Recognition
6.1.4. Sensor Data
6.1.5. Speech Recognition

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