Edge AI Ecosystem Shaping: Constructing New Software Service Channels (pre-order) | Valuates Reports

Edge AI Ecosystem Shaping Constructing New Software Service Channels: Pre Order

In response to the growing need for real-time inference results in various AI application scenarios, the traditional practice of running inference in the cloud has gradually become inadequate in meeting the requirements for immediacy. Consequently, the industry has begun advocating for the relocation of inference workloads to the edge, enabling them to be executed in close proximity to where they are needed. This paradigm is known as Edge Artificial Intelligence (Edge AI). In recent years, many international brands have actively entered the Edge AI space, highlighting its significance in the market. Moreover, Edge AI differs slightly from the traditional information software industry in terms of sales channels and development models. Therefore, existing software companies and information service providers need to make adjustments to seize the growth opportunities in this evolving landscape.

Get Sample Research Report: https://reports.valuates.com/request/sample/MICR-Cons-3Q25/Edge_AI_Ecosystem_Shaping_Constructing_New_Software_Service_Channels_pre_order

Key Companies:
• Anagog
• AWS
• DeepSig
• FogHorn Systems
• ai
• Google
• Gorilla Technology
• Hacarus
• Intel
• Kneron
• Mavenir
• ai
• Microsoft
• Nvidia
• QuickLogic
• SensiML

Table of Contents

1. The Drive for Timeliness: Shaping Edge AI
1.1 Natural Technological Evolution and Practical Demands in Edge AI

1.2 Edge AI's Resemblance to Edge Computing and Its Advantages

1.3 Edge AI Weaknesses Compared to Cloud AI
2. Global Hardware and Software brands' Aggressive Expansion into Edge AI
2.1 Chipmakers' Strategies in Edge AI

2.2 Startups in the Edge AI Space

2.3 Major Cloud Providers' Involvement in Edge AI
3. Edge AI Development Adapting to Multiple New Software Models
3.1 Cloud-Based Edge AI Development Tools

3.2 Diverse Approaches to Edge AI Inference Software: Embedded and Marketplace Routes

3.3 Diverse Approaches and Billing Methods in Edge AI Deployment
4.MIC Perspective

Appendix

List of Companies

List of Tables

Table 1: A Comparison of Characteristics between Cloud AI and Edge AI

List of Figures

Figure 1: Evolutionary Timeline of Edge Artificial Intelligence Technologies

Figure 2: Architecture and Principles of Horizontal Federated Learning Systems

Figure 3: Intel's Integration of OpenVINO Software to Support AI Acceleration Chips

Figure 4: Illustration of AWS IoT Greengrass ML Inference Service

Figure 5: SensiML SaaS Billing Model

Figure 6: Edge AI Utilizing Cloud Application Marketplace Delivery and Update Mechanisms

View Full Report: https://reports.valuates.com/market-reports/MICR-Cons-3Q25/edge-ai-ecosystem-shaping

Similar Reports:

1. https://reports.valuates.com/market-reports/MICR-Cons-2H17/key-development-areas-and

2. https://reports.valuates.com/market-reports/MICR-Semi-0N22/development-of-the-china

3. https://reports.valuates.com/market-reports/MICR-Comm-1A24/global-and-taiwan-5g

Phone:
U.S. (TOLL FREE) : +1 (315) 215-3225
India: +91 8040957137

Email Id:
Please reach us at sales@valuates.com

Valuates offers an extensive collection of market research reports that helps companies to take intelligent strategical decisions based on current and forecasted Market trends.

This release was published on openPR.