Research Spotlight:

Edge AI

The Edge AI Research Spotlight provides access to all research related to this topic. This Spotlight includes:

  • All research outlined below
  • Any updates to the research six months from purchase
  • 60 minutes of analyst inquiry to speak to an analyst
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Included Research

Distributed Intelligence on the Edge: Building a Case For Edge AI
Distributed Intelligence on the Edge: Building a Case For Edge AI
 Research Report | 1Q 2023 | AN-5774
Table of Contents
 

Introduction

Key Takeaways

Edge AI Market Overview

Lay of the Land
Market Trends and Key Drivers
Vertical Specialization

Ecosystem Players

Cloud Infrastructure
Hardware
Software
Professional Services

Opportunities and Challenges for Edge AI

Opportunities in Edge AI
Challenges in Edge AI

Recommendations and Conclusions

Future State of Edge AI
Critical Questions Answered
  • What are the main drivers of growth for edge AI?
  • How can businesses benefit from deploying edge AI?
  • What are some of the challenges that businesses need to address before going on an edge AI journey?
  • What does the future of edge AI look like and how will it affect my business?
Research Highlights
  • Opportunities in the edge AI market and how solution providers can take advantage of these opportunities.
  • Key benefits for businesses looking to deploy edge AI, as well as pitfalls to look out for.
  • Examples of edge AI solutions from technology providers across industries such as retail, manufacturing, healthcare, transportation, and mining.
full contents...
Artificial Intelligence and Machine Learning for Distributed and Edge Computing
Artificial Intelligence and Machine Learning for Distributed and Edge Computing
Market Data | 1Q 2023 | MD-AIDGE-102
Tables
  1. Definitions for Major Forecasting Categories, Devices, Gateways, and Servers with Edge AI Chipsets
  2. Total Shipments and Installed Base for Edge AI Gateways by Vertical, World Markets: 2021 to 2028
  3. Total Shipments and Breakdown of Edge AI Gateways by AI Workload, World Markets: 2021 to 2028
  4. Total Shipments and Revenue for Edge AI Inference and Training Chipsets in Edge AI Gateways by Region, World Markets: 2021 to 2028
  5. Total Shipments and Revenue for Edge AI Inference Chipsets for Edge AI Gateways by Architecture, World Markets: 2021 to 2028
  6. Vendor Revenue and Market Share of Edge AI Inference Chipsets for Edge AI Gateways, World Markets: 2021 and 1H 2022
  7. Total Shipments and Revenue for Edge AI Training Chipsets for Edge AI Gateways by Architecture, World Markets: 2021 to 2028
  8. Total Shipments and Installed Base for On-Premises and Edge Cloud AI Servers by Vertical, World Markets: 2021 to 2028
  9. Total Shipments and Breakdown of On-Premises and Edge Cloud AI Servers by AI Workload, World Markets: 2021 to 2028
  10. Total Shipments and Revenue for Edge AI Inference and Training Chipsets in On-Premises and Edge Cloud AI Servers by Region, World Markets: 2021 to 2028
  11. Total Shipments and Revenue for Edge AI Inference Chipsets in On-Premises and Edge Cloud AI Servers by Architecture, World Markets: 2021 to 2028
  12. Vendor Revenue and Market Share of Edge AI Inference Chipsets for On-Premises and Edge Cloud AI Servers, World Markets: 2021 and 1H 2022
  13. Total Shipments and Revenue for Edge AI Training Chipsets for On-Premises and Edge Cloud AI Servers by Architecture, World Markets: 2021 to 2028
  14. Vendor Revenue and Market Share of Edge AI Training Chipsets for On-Premises and Edge Cloud AI Servers, World Markets: 2021 and 1H 2022
Critical Questions Answered
  • What is the current market dynamic between different AI chipset vendors based on architecture and revenue?
  • How will cloud and edge AI chipset deployment evolve over time?
  • How will AI training and inference workload evolve over time in gateways and on-premises servers?
Research Highlights
  • Shipments of gateways and on-premises servers with edge AI chipset across 17 verticals and 4 main regions.
  • Market share of key AI chipset vendors.
  • Evolution of AI chipset architecture.
full contents...
Edge ML-Based Machine Vision Software and Services
Edge ML-Based Machine Vision Software and Services
 Research Report | 4Q 2022 | AN-4957
Table of Contents

1. EXECUTIVE SUMMARY

1.1. CONCLUSIONS
1.2. RECOMMENDATIONS

2. MACHINE VISION AT THE EDGE

2.1. DEFINITION OF ML-BASED MACHINE VISION
2.2. THE DEVELOPMENT OF ML-BASED MV
2.3. MV AT THE EDGE
2.4. CHIPSET VENDORS AND EDGE MV

3. SELECT VENDORS

3.1. ARCTURUS
3.2. ELEMENTARY
3.3. INSTRUMENTAL
3.4. MECH-MIND ROBOTICS
3.5. LANDING AI

4. MARKET OUTLOOK

Critical Questions Answered
  • Who are the key software and service solutions for ML-based Machine Vision?
  • What is the current trend of machine vision market in AI-based applications?
  • Who are the key players in machine vision market?
  • What are some of the current and emerging use cases for machine vision?
Research Highlights
  • Best practices of employing ML-based Machine Vision at the edge.
  • An overview of the machine vision market, from camera manufacturers to chipset vendors and key startups.
  • Exhaustive description of the different types of machine vision technology.
  • Emerging machine vision use cases.
full contents...
Edge ML Enablement Platform Vendors
Edge ML Enablement Platform Vendors
 Competitive Ranking | 3Q 2022 | CA-1341
Table of Contents

Edge ML Enablement Platform Vendors

Overall Competitive Rankings

Overall Ranking Matrix

Market Trends

Criteria and Methodology

Innovation Rankings

Implementation Rankings

Individual Company Assessments

Aizip
Edge Implulse
Imagimob
Infxl
Latent AI
MicroAI
SensiML
Critical Questions Answered
  • Who are the market leaders and mainstream providers in edge ML enablement solutions?
  • Which vendor is offering the most sophisticated and innovative edge ML enablement solution?
  • Which vendor is the most advanced in its implementation strategy for the edge ML enablement solution?
Research Highlights
  • In-depth profiles showcasing the merits of each vendor’s market proposition.
  • Key criteria used to analyze and assess the capabilities and value proposition of different solution providers.
  • Understand how market leaders differentiate themselves from their competitors in innovation and implementation.
full contents...
Artificial Intelligence and Machine Learning for Edge Computing
Artificial Intelligence and Machine Learning for Edge Computing
Market Data | 1Q 2021 | MD-AIDGE-101
Tables
  1. Definitions for Major Forecasting Categories, Devices, Gateways, and Servers with Edge AI Chipsets
  2. Total Shipments and Installed Base for Edge AI Gateways by Vertical, World Markets, Forecast: 2019 to 2025
  3. Total Shipments and Breakdown for Edge AI Gateways by AI Workload, World Markets, Forecast: 2019 to 2025
  4. Total Shipments and Revenue for Edge AI Inference Chipsets for Edge AI Gateways by Architecture, World Markets, Forecast: 2019 to 2025
  5. Vendor Revenue and Market Share for Edge AI Inference Chipsets for Edge AI Gateways, World Markets, Historical: 2019 to 1H 2020
  6. Total Shipments and Revenue for Edge AI Training Chipsets for Edge AI Gateways by Architecture, World Markets, Forecast: 2019 to 2025
  7. Vendor Revenue and Market Share for Edge AI Training Chipsets for Edge AI Gateways, World Markets, Historical: 2019 to 1H 2020
  8. Total Shipments and Installed Base for On-Premises AI Servers by Vertical, World Markets, Forecast: 2019 to 2025
  9. Total Shipments and Breakdown for On-Premises AI Servers by AI Workload, World Markets, Forecast: 2019 to 2025
  10. Total Shipments and Revenue for Edge AI Inference Chipsets for On-Premises AI Servers by Architecture, World Markets, Forecast: 2019 to 2025
  11. Vendor Revenue and Market Share for Edge AI Inference Chipsets for On-Premises AI Servers, World Markets, Historical: 2019 to 1H 2020
  12. Total Shipments and Revenue for Edge AI Training Chipsets for On-Premises AI Servers by Architecture, World Markets, Forecast: 2019 to 2025
  13. Vendor Revenue and Market Share for Edge AI Training Chipsets for On-Premises AI Servers, World Markets, Historical: 2019 to 1H 2020
Critical Questions Answered
  • What is the current market dynamic between different AI chipset vendors based on architecture and revenue?
  • How will cloud and edge AI chipset deployment evolve over time?
  • How will AI training and inference workload evolve over time in gateways and on-premise server?
Research Highlights
  • Shipment of gateways and on-premise servers with edge AI chipset across 17 verticals.
  • Market share of key AI chipset vendors.
  • Evolution of AI chipset architecture.
full contents...
China's Options to Cushion against U.S.-Led AI Chip Restrictions
China's Options to Cushion against U.S.-Led AI Chip Restrictions
 Insight | 3Q 2023 | IN-7014
There have been rumors of impending restrictions on Artificial Intelligence (AI) chip exports to China, meaning that Chinese companies could be prevented from training large AI models. If this happens, China could still develop domestic capabilities in AI inference and edge computing that will bring interesting opportunities for AI software and hardware vendors. Players in the region may also want to develop smaller generative AI models for specific use cases.
Edge Impulse Imagine 2022 Proposes Innovative Approaches to Further Empower Edge AI Developers
Edge Impulse Imagine 2022 Proposes Innovative Approaches to Further Empower Edge AI Developers
 Insight | 4Q 2022 | IN-6729
Edge Impulse Imagine 2022 gathered some of the big players in the edge Machine Learning (ML) and TinyML markets, and showcased myriad solutions, partnerships, and technological innovations. The event also highlighted some of the challenges ahead, not least the need for a huge increase in the number of ML developers at work today, as well as the number of ML workloads.
NVIDIA Doubles Down on Industry-Specific Solutions to Accelerate Enterprise Artificial Intelligence Deployment
NVIDIA Doubles Down on Industry-Specific Solutions to Accelerate Enterprise Artificial Intelligence Deployment
 Insight | 4Q 2022 | IN-6723
This insight highlights the most important announcements from GTC Autumn 2022 and discusses key developments and challenges faced by NVIDIA moving forward.
Neural Architecture Search Brings Power Efficiency and Optimized Performance to Deep Learning at the Edge and in the Cloud
Neural Architecture Search Brings Power Efficiency and Optimized Performance to Deep Learning at the Edge and in the Cloud
Insight | 3Q 2022 | IN-6597
The most common way to develop Deep Neural Networks (DNNs) typically ignores the hardware specification until a model has been trained and is ready to be implemented. Deci takes a different approach and offers a Deep Learning (DL) platform that considers the target hardware early on by carrying out model selection during the production phase, thereby improving deployment at both the edge and in the cloud.
Hypercustomization and Seamless Integration with Legacy Infrastructure Critical for Seeed Studio to Succeed in the Enterprise Edge AI Market
Hypercustomization and Seamless Integration with Legacy Infrastructure Critical for Seeed Studio to Succeed in the Enterprise Edge AI Market
 Insight | 2Q 2022 | IN-6587
Chinese vendor Seeed Studio recently launched a series of edge AI hardware and vertical-specific solutions with its ecosystem partners. The company aims to further democratize edge AI solutions across industries for both beginners and AI experts through optimized hardware and software, but challenges remain.
Lattice Semiconductor Bringing Edge ML into Premium Laptops
Lattice Semiconductor Bringing Edge ML into Premium Laptops
 Insight | 1Q 2022 | IN-6484
Edge Machine Learning (ML) is coming to laptops. Lenovo partnered with Lattice Semiconductor to introduce computer vision technology into premium laptops. Lattice Semiconductor’s hardware and software product offering accelerates the deployment of key capabilities such as user detection, attention tracking, face-framing, and audio detection.