Edge AI Market Size By Component (Hardware [GPU, ASIC, CPU, FPGA], Software, Services), By Application (Video Surveillance, Remote Monitoring, Predictive Maintenance) By End-use, & Forecast, 2023

List of Tables

Global Edge AI Market size is predicted to expand considerably throughout the forecast period 2023 to 2032 due to the rising consumer inclination towards smart homes.

Integration of edge AI supports monitoring of temperature, gas density, humidity, and home security. Increased customer expectations and a rise in the availability of such advanced gadgets are predicted to boost the market share for edge AI. Furthermore, the growing demand for consistent data access and low latency across industries is fueling the need for powerful edge AI infrastructure. Using edge AI technologies, businesses can achieve significant cost and performance savings.

In April 2021, multinational technology company, Intel, introduced third-generation Xeon scalable CPU which allows for the implementation of a flexible and scalable infrastructure. It can enhance workloads related to 5G, AI, and other high-performance computing, network security, and clouds.

Moreover, the increased acceptance of remote working since the COVID-19 outbreak is another factor influencing the industry's growth. Edge AI enables businesses to securely grant access of internal resources to their distant workers. Additionally, it lowers the price and maintenance expenses related to physical network infrastructure.

The edge AI industry is bifurcated as per component, end-user, application, and region.

Based on component, the services segment of the edge AI market is anticipated to grow at a rapid pace during the forecast period resulting from the global development of edge-based technology. Further, the subdivisions comprising training and consulting, system integration and testing, and support and maintenance make up the service market segment.

Due to the rising demand for dependable and low-latency data access throughout all companies, the system integration and testing segment will continue to expand. Furthermore, the expansion of the support and maintenance segment is attributed to its capacity to help organizations give speedy remote assistance for reducing network outages which will boost the overall market share.

In terms of end user, the government segment is anticipated to exceed USD 3 billion by 2032 owing to the increasing adoption of edge AI helping government offices to consolidate and centralize their IT resources to enable users to access the system anytime from anywhere. The growing digitization and need for robust wireless connectivity across government agencies are fueling market growth. For instance, MEA governments are digitalizing all of their departments and services, improving their infrastructure, and providing new services like e-applications that speed up administrative processes.

Depending on application the edge AI market the segmented as video surveillance, remote monitoring, predictive maintenance, and other segments. The adoption of telemetry in the healthcare industry is covered in the other category. This technology aids in the automatic detection of abnormalities in the operation of telemedicine devices. Telemetry in medical equipment also helps with patient management, diagnosis, and treatment from a distance. Such a wide range of edge AI applications will promote industry growth.

Regionally, the Middle East edge AI market was valued at over USD 500 million in 2022 as several telecom operators are increasingly emphasizing on trials and deployment of 5G across the region accelerating revenue growth. Soaring demand for edge computing and data centers owing to the development of smart cities in Saudi Arabia and the UAE has led to massive investments in the IT sector, especially in GCC countries like Saudi Arabia, the UAE, and Qatar will push the market growth further.

Product Code: 5390

Chapter 1 Methodology & Scope

1.1 Scope and definition
1.2 Methodology & forecast parameters
1.3 COVID-19 impct
- 1.3.1 North America
- 1.3.2 Europe
- 1.3.3 Asia Pacific
- 1.3.4 Latin America
- 1.3.5 MEA
1.4 Data Sources
- 1.4.1 Secondary
  - 1.4.1.1 Paid sources
  - 1.4.1.2 Public sources
- 1.4.2 Primary
1.5 Industry glossary

Chapter 2 Executive Summary

2.1 Edge AI industry 360 degree synopsis, 2018 - 2032
2.2 Business trends
- 2.2.1 Total Addressable Market (TAM)
2.3 Regional trends
2.4 Component trends
2.5 End-use trends
2.6 Application trends

Chapter 3 Edge AI Industry Insights

3.1 Introduction
3.2 Industry segmentation
3.3 Impact of COVID-19 outbreak
- 3.3.1 North America
- 3.3.2 Europe
- 3.3.3 Asia Pacific
- 3.3.4 Latin America
- 3.3.5 MEA
3.4 Evolution of Edge AI technology
3.5 Industry ecosystem analysis
- 3.5.1 Hardware providers
- 3.5.2 Software providers
- 3.5.3 Cloud service providers
- 3.5.4 Managed service providers
- 3.5.5 Profit margin analysis
- 3.5.6 Vendor matrix
3.6 Technology & innovation landscape
- 3.6.1 Edge Computing
- 3.6.2 IoT
- 3.6.3 Cloud computing
3.7 Patent analysis
3.8 Investment portfolio
3.9 News
- 3.9.1 North America
- 3.9.2 Europe
- 3.9.3 Asia Pacific
- 3.9.4 Latin America
- 3.9.5 MEA
3.10 Regulatory landscape
3.11 Industry impact forces
- 3.11.1 Growth drivers
  - 3.11.1.1 Increasing adoption of edge devices across various end-user verticals
  - 3.11.1.2 Growing investment in the AI technology
  - 3.11.1.3 Growing adoption of BYOD and enterprise mobility
  - 3.11.1.4 Surging adoption cloud computing technology
  - 3.11.1.5 Commercialization of 5G network
- 3.11.2 Industry pitfalls & challenges
  - 3.11.2.1 Privacy and security concerns related to edge AI solutions
  - 3.11.2.2 Interoperability issues related to edge AI software
3.12 Growth potential analysis
3.13 Porter's analysis
3.14 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

4.1 Introduction
4.2 Company market share, 2022
4.3 Competive analysis of major market players, 2022
- 4.3.1 Dell Technologies
- 4.3.2 Google
- 4.3.3 Microsoft Corporation
- 4.3.4 Amazon Web Serices
- 4.3.5 IBM Corporation
- 4.3.6 Huawei Technologies Co., Ltd.
4.4 Competive analysis of innovative market playes, 2022
- 4.4.1 Qualcomm Technologies Inc.
- 4.4.2 MediaTek inc
- 4.4.3 Gorilla Technology Group
- 4.4.4 Nvidia
- 4.4.5 Cloudera, Inc.
- 4.4.6 Synaptics Incorporated
4.5 Vendor adoption matrix, 2022
4.6 Strategic outlook matrix, 2022

Chapter 5 Edge AI Market, By Component

5.1 Key trends, by component
5.2 Hardware
- 5.2.1 Market estimates and forecast, 2018 - 2032
- 5.2.2 Central Processing Unit (CPU)
  - 5.2.2.1 Market estimates and forecast, 2018 - 2032
- 5.2.3 Graphics Processing Unit (GPU)
  - 5.2.3.1 Market estimates and forecast, 2018 - 2032
- 5.2.4 Graphics Processing Unit (GPU)
  - 5.2.4.1 Market estimates and forecast, 2018 - 2032
- 5.2.5 Field-Programmable Gate Array (FPGA)
  - 5.2.5.1 Market estimates and forecast, 2018 - 2032
- 5.2.6 Field-Programmable Gate Array (FPGA)
  - 5.2.6.1 Market estimates and forecast, 2018 - 2032
- 5.2.7 Aplication Specific Integrated Circuit (ASIC)
  - 5.2.7.1 Market estimates and forecast, 2018 - 2032
5.3 Software
- 5.3.1 Market estimates and forecast, 2018 - 2032
5.4 Service
- 5.4.1 Market estimates and forecast, 2018 - 2032
- 5.4.2 Training & consulting
  - 5.4.2.1 Market estimates and forecast, 2018 - 2032
- 5.4.3 Support & maintenance
  - 5.4.3.1 Market estimates and forecast, 2018 - 2032
- 5.4.4 System integration & testing
  - 5.4.4.1 Market estimates and forecast, 2018 - 2032

Chapter 6 Edge AI Market, By End-use

6.1 Key trends, by end-use
6.2 Manufacturing
- 6.2.1 Market estimates and forecast, 2018 - 2032
6.3 Healthcare
- 6.3.1 Market estimates and forecast, 2018 - 2032
6.4 BSFI
- 6.4.1 Market estimates and forecast, 2018 - 2032
6.5 Government
- 6.5.1 Market estimates and forecast, 2018 - 2032
6.6 Retail & e-commerce
- 6.6.1 Market estimates and forecast, 2018 - 2032
6.7 IT & telecom
- 6.7.1 Market estimates and forecast, 2018 - 2032
6.8 Transporation & logistics
- 6.8.1 Market estimates and forecast, 2018 - 2032
6.9 Others
- 6.9.1 Market estimates and forecast, 2018 - 2032

Chapter 7 Edge AI Market, By Application

7.1 Key trends, by application
7.2 Video Surveillance
- 7.2.1 Market estimates and forecast, 2018 - 2032
7.3 Remote monitoring
- 7.3.1 Market estimates and forecast, 2018 - 2032
7.4 Predictive Maintenance
- 7.4.1 Market estimates and forecast, 2018 - 2032
7.5 Others
- 7.5.1 Market estimates and forecast, 2018 - 2032

Chapter 8 Edge AI Market, By Region

8.1 Key trends, by region
8.2 North America
- 8.2.1 Market estimates and forecast, 2018 - 2032
- 8.2.2 Market estimates and forecast, by component, 2018 - 2032
  - 8.2.2.1 Market estimates and forecast, by hardware, 2018 - 2032
  - 8.2.2.2 Market estimates and forecast, by service, 2018 - 2032
- 8.2.3 Market estimates and forecast, by end-use, 2018 - 2032
- 8.2.4 Market estimates and forecast, by application, 2018 - 2032
- 8.2.5 U.S.
  - 8.2.5.1 Market estimates and forecast, 2018 - 2032
  - 8.2.5.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.2.5.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.2.5.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.2.5.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.2.5.4 Market estimates and forecast, by application, 2018 - 2032
- 8.2.6 Canada
  - 8.2.6.1 Market estimates and forecast, 2018 - 2032
  - 8.2.6.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.2.6.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.2.6.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.2.6.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.2.6.4 Market estimates and forecast, by application, 2018 - 2032
8.3 Europe
- 8.3.1 Market estimates and forecast, 2018 - 2032
- 8.3.2 Market estimates and forecast, by component, 2018 - 2032
- 8.3.3 Market estimates and forecast, by typel, 2018 - 2032
- 8.3.4 Market estimates and forecast, by connectivity, 2018 - 2032
- 8.3.5 Market estimates and forecast, by application, 2018 - 2032
  - 8.3.5.1 Market estimates and forecast, by consumer, 2018 - 2032
  - 8.3.5.2 Market estimates and forecast, by commercial, 2018 - 2032
- 8.3.6 UK
  - 8.3.6.1 Market estimates and forecast, 2018 - 2032
  - 8.3.6.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.3.6.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.3.6.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.3.6.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.3.6.4 Market estimates and forecast, by application, 2018 - 2032
- 8.3.7 Germany
  - 8.3.7.1 Market estimates and forecast, 2018 - 2032
  - 8.3.7.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.3.7.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.3.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.3.7.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.3.7.4 Market estimates and forecast, by application, 2018 - 2032
- 8.3.8 France
  - 8.3.8.1 Market estimates and forecast, 2018 - 2032
  - 8.3.8.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.3.8.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.3.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.3.8.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.3.8.4 Market estimates and forecast, by application, 2018 - 2032
- 8.3.9 Spain
  - 8.3.9.1 Market estimates and forecast, 2018 - 2032
  - 8.3.9.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.3.9.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.3.9.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.3.9.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.3.9.4 Market estimates and forecast, by application, 2018 - 2032
- 8.3.10 Russia
  - 8.3.10.1 Market estimates and forecast, 2018 - 2032
  - 8.3.10.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.3.10.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.3.10.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.3.10.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.3.10.4 Market estimates and forecast, by application, 2018 - 2032
8.4 Asia Pacific
- 8.4.1 Market estimates and forecast, 2018 - 2032
- 8.4.2 Market estimates and forecast, by component, 2018 - 2032
- 8.4.3 Market estimates and forecast, by typel, 2018 - 2032
- 8.4.4 Market estimates and forecast, by connectivity, 2018 - 2032
- 8.4.5 Market estimates and forecast, by application, 2018 - 2032
  - 8.4.5.1 Market estimates and forecast, by consumer, 2018 - 2032
  - 8.4.5.2 Market estimates and forecast, by commercial, 2018 - 2032
- 8.4.6 China
  - 8.4.6.1 Market estimates and forecast, 2018 - 2032
  - 8.4.6.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.4.6.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.4.6.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.4.6.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.4.6.4 Market estimates and forecast, by application, 2018 - 2032
- 8.4.7 Japan
  - 8.4.7.1 Market estimates and forecast, 2018 - 2032
  - 8.4.7.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.4.7.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.4.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.4.7.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.4.7.4 Market estimates and forecast, by application, 2018 - 2032
- 8.4.8 India
  - 8.4.8.1 Market estimates and forecast, 2018 - 2032
  - 8.4.8.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.4.8.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.4.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.4.8.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.4.8.4 Market estimates and forecast, by application, 2018 - 2032
- 8.4.9 South Korea
  - 8.4.9.1 Market estimates and forecast, 2018 - 2032
  - 8.4.9.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.4.9.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.4.9.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.4.9.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.4.9.4 Market estimates and forecast, by application, 2018 - 2032
- 8.4.10 Australia arhi
  - 8.4.10.1 Market estimates and forecast, 2018 - 2032
  - 8.4.10.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.4.10.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.4.10.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.4.10.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.4.10.4 Market estimates and forecast, by application, 2018 - 2032
- 8.4.11 Southeast Asia
  - 8.4.11.1 Market estimates and forecast, 2018 - 2032
  - 8.4.11.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.4.11.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.4.11.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.4.11.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.4.11.4 Market estimates and forecast, by application, 2018 - 2032
8.5 Latin America
- 8.5.1 Market estimates and forecast, 2018 - 2032
- 8.5.2 Market estimates and forecast, by component, 2018 - 2032
- 8.5.3 Market estimates and forecast, by typel, 2018 - 2032
- 8.5.4 Market estimates and forecast, by connectivity, 2018 - 2032
- 8.5.5 Market estimates and forecast, by application, 2018 - 2032
  - 8.5.5.1 Market estimates and forecast, by consumer, 2018 - 2032
  - 8.5.5.2 Market estimates and forecast, by commercial, 2018 - 2032
- 8.5.6 Brazil
  - 8.5.6.1 Market estimates and forecast, 2018 - 2032
  - 8.5.6.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.5.6.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.5.6.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.5.6.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.5.6.4 Market estimates and forecast, by application, 2018 - 2032
- 8.5.7 Mexico
  - 8.5.7.1 Market estimates and forecast, 2018 - 2032
  - 8.5.7.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.5.7.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.5.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.5.7.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.5.7.4 Market estimates and forecast, by application, 2018 - 2032
- 8.5.8 Argentina
  - 8.5.8.1 Market estimates and forecast, 2018 - 2032
  - 8.5.8.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.5.8.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.5.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.5.8.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.5.8.4 Market estimates and forecast, by application, 2018 - 2032
8.6 MEA
- 8.6.1 Market estimates and forecast, 2018 - 2032
- 8.6.2 Market estimates and forecast, by component, 2018 - 2032
- 8.6.3 Market estimates and forecast, by typel, 2018 - 2032
- 8.6.4 Market estimates and forecast, by connectivity, 2018 - 2032
- 8.6.5 Market estimates and forecast, by application, 2018 - 2032
  - 8.6.5.1 Market estimates and forecast, by consumer, 2018 - 2032
  - 8.6.5.2 Market estimates and forecast, by commercial, 2018 - 2032
- 8.6.6 South Africa
  - 8.6.6.1 Market estimates and forecast, 2018 - 2032
  - 8.6.6.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.6.6.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.6.6.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.6.6.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.6.6.4 Market estimates and forecast, by application, 2018 - 2032
- 8.6.7 Saudi Arabia
  - 8.6.7.1 Market estimates and forecast, 2018 - 2032
  - 8.6.7.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.6.7.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.6.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.6.7.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.6.7.4 Market estimates and forecast, by application, 2018 - 2032
- 8.6.8 UAE
  - 8.6.8.1 Market estimates and forecast, 2018 - 2032
  - 8.6.8.2 Market estimates and forecast, by component, 2018 - 2032
    - 8.6.8.2.1 Market estimates and forecast, by hardware, 2018 - 2032
    - 8.6.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 8.6.8.3 Market estimates and forecast, by end-use, 2018 - 2032
  - 8.6.8.4 Market estimates and forecast, by application, 2018 - 2032

Chapter 9 Company Profiles

9.1 Anagog Ltd.
- 9.1.1 Business Overview
- 9.1.2 Financial Data
- 9.1.3 Product Landscape
- 9.1.4 Go-to-Market Strategy
- 9.1.5 SWOT Analysis
9.2 Amazon Web Services (AWS)
- 9.2.1 Business Overview
- 9.2.2 Financial Data
- 9.2.3 Product Landscape
- 9.2.4 Go-to-Market Strategy
- 9.2.5 SWOT Analysis
9.3 ADLINK Technologies, Inc.
- 9.3.1 Business Overview
- 9.3.2 Financial Data
- 9.3.3 Product Landscape
- 9.3.4 Go-to-Market Strategy
- 9.3.5 SWOT Analysis
9.4 Clearblade
- 9.4.1 Business Overview
- 9.4.2 Financial Data
- 9.4.3 Product Landscape
- 9.4.4 Go-to-Market Strategy
- 9.4.5 SWOT Analysis
9.5 Cloudera, Inc.
- 9.5.1 Business Overview
- 9.5.2 Financial Data
- 9.5.3 Product Landscape
- 9.5.4 Go-to-Market Strategy
- 9.5.5 SWOT Analysis
9.6 Dell
- 9.6.1 Business Overview
- 9.6.2 Financial Data
- 9.6.3 Product Landscape
- 9.6.4 Go-to-Market Strategy
- 9.6.5 SWOT Analysis
9.7 Google (Aplhabet Inc)
- 9.7.1 Business Overview
- 9.7.2 Financial Data
- 9.7.3 Product Landscape
- 9.7.4 Go-to-Market Strategy
- 9.7.5 SWOT Analysis
9.8 Gorilla Technology Group
- 9.8.1 Business Overview
- 9.8.2 Financial Data
- 9.8.3 Product Landscape
- 9.8.4 Go-to-Market Strategy
- 9.8.5 SWOT Analysis
9.9 Huawei Technologies Co., Ltd.
- 9.9.1 Business Overview
- 9.9.2 Financial Data
- 9.9.3 Product Landscape
- 9.9.4 Go-to-Market Strategy
- 9.9.5 SWOT Analysis
9.10 IBM Corporation
- 9.10.1 Business Overview
- 9.10.2 Financial Data
- 9.10.3 Product Landscape
- 9.10.4 Go-to-Market Strategy
- 9.10.5 SWOT Analysis
9.11 Imagimob AB.
- 9.11.1 Business Overview
- 9.11.2 Financial Data
- 9.11.3 Product Landscape
- 9.11.4 Go-to-Market Strategy
- 9.11.5 SWOT Analysis
9.12 Intel Corporation
- 9.12.1 Business Overview
- 9.12.2 Financial Data
- 9.12.3 Product Landscape
- 9.12.4 Go-to-Market Strategy
- 9.12.5 SWOT Analysis
9.13 Microsoft Corporation
- 9.13.1 Business Overview
- 9.13.2 Financial Data
- 9.13.3 Product Landscape
- 9.13.4 Go-to-Market Strategy
- 9.13.5 SWOT Analysis
9.14 MediaTek inc
- 9.14.1 Business Overview
- 9.14.2 Financial Data
- 9.14.3 Product Landscape
- 9.14.4 Go-to-Market Strategy
- 9.14.5 SWOT Analysis
9.15 Mavenir Systen Inc.
- 9.15.1 Business Overview
- 9.15.2 Financial Data
- 9.15.3 Product Landscape
- 9.15.4 Go-to-Market Strategy
- 9.15.5 SWOT Analysis
9.16 Nutanix, Inc.
- 9.16.1 Business Overview
- 9.16.2 Financial Data
- 9.16.3 Product Landscape
- 9.16.4 Go-to-Market Strategy
- 9.16.5 SWOT Analysis
9.17 Nvidia
- 9.17.1 Business Overview
- 9.17.2 Financial Data
- 9.17.3 Product Landscape
- 9.17.4 Go-to-Market Strategy
- 9.17.5 SWOT Analysis
9.18 Synaptics Incorporated
- 9.18.1 Business Overview
- 9.18.2 Financial Data
- 9.18.3 Product Landscape
- 9.18.4 Go-to-Market Strategy
- 9.18.5 SWOT Analysis
9.19 Qualcomm Technologies Inc.
- 9.19.1 Business Overview
- 9.19.2 Financial Data
- 9.19.3 Product Landscape
- 9.19.4 Go-to-Market Strategy
- 9.19.5 SWOT Analysis
9.20 Veea
- 9.20.1 Business Overview
- 9.20.2 Financial Data
- 9.20.3 Product Landscape
- 9.20.4 Go-to-Market Strategy
- 9.20.5 SWOT Analysis
9.21 Xilinx
- 9.21.1 Business Overview
- 9.21.2 Financial Data
- 9.21.3 Product Landscape
- 9.21.4 Go-to-Market Strategy
- 9.21.5 SWOT Analysis