Edge Artificial Intelligence (AI) Hardware Market Size, Share, and Trends Analysis Report Size, Share, Growth, Trends, Demand and Opportunity Analysis 2030
Edge Artificial Intelligence (AI) Hardware Market Size, Share, and Trends Analysis Report Size, Share, Growth, Trends, Demand and Opportunity Analysis 2030
Blog Article
"Global Edge Artificial Intelligence (AI) Hardware Market – Industry Trends and Forecast to 2030
Global Edge Artificial Intelligence (AI) Hardware Market, By Device (Smartphones, Cameras, Robots, Wearable, Smart Speaker, Automotive, Smart Mirror), Processors (Central Processing Unit (CPU), Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC) and Others), Power Consumption (Less than 1W, 1-3W, 3-5W, 5-10W, More than 10W), Process (Training, Inference), End User Industry (Consumer Electronics, Smart Home, Automotive and Transportation, Government, Healthcare, Industrial, Aerospace and Defence, Construction, Others) - Industry Trends and Forecast to 2030.
Data Bridge Market Research analyses that the global edge artificial intelligence (AI) hardware market is valued at USD 744.03 million in 2022 and is expected to reach USD 4030.32 million by 2030, registering a CAGR of 20.84% during the forecast period of 2023-2030. “Consumer Electronics “account for the largest end user industry segment in the respective market owing to the rising consumer spending and demand for consumer electronics. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include depth expert analysis, , pricing analysis, and regulatory framework.
Access Full 350 Pages PDF Report @
https://www.databridgemarketresearch.com/reports/global-edge-ai-hardware-market
**Segments**
- **Hardware Type**: The hardware type segment in the edge artificial intelligence (AI) hardware market can be further divided into processors, accelerators, memory, and others. Processors play a crucial role in edge AI applications by processing data closer to the source. Accelerators, such as GPUs and FPGAs, are designed to accelerate the performance of AI workloads. Memory solutions are essential for storing and accessing data efficiently in edge AI devices. The advancements in each of these hardware types contribute significantly to the growth of the market.
- **End-User**: The end-user segment of the edge AI hardware market includes industries such as healthcare, automotive, manufacturing, retail, and others. Healthcare organizations utilize edge AI hardware for medical imaging, patient monitoring, and disease diagnosis. The automotive sector employs edge AI hardware for advanced driver-assistance systems (ADAS), autonomous vehicles, and predictive maintenance. In manufacturing, edge AI hardware facilitates predictive maintenance, quality control, and process optimization. The retail industry uses edge AI hardware for personalized marketing, inventory management, and customer service.
- **Deployment**: Deployment options in the edge AI hardware market consist of on-premises and cloud deployment. On-premises deployment involves deploying edge AI hardware directly within the organization's infrastructure, providing greater control over data and applications. Cloud deployment enables organizations to leverage edge AI hardware through cloud services, offering scalability, flexibility, and real-time access to AI capabilities. The choice between on-premises and cloud deployment depends on factors such as data security, latency requirements, and cost considerations.
**Market Players**
- **NVIDIA Corporation**: NVIDIA is a leading player in the edge AI hardware market, providing high-performance GPUs and AI accelerators tailored for edge computing applications. The company's products power a wide range of edge AI devices in diverse industries, enabling advanced AI processing capabilities at the network edge.
- **Intel Corporation**: Intel offers a variety of processors, vision accelerators, and memory solutions optimized for edge AI workNVIDIA Corporation and Intel Corporation are two key players in the edge AI hardware market, each offering unique products and solutions that cater to the growing demand for edge computing capabilities. NVIDIA is recognized for its high-performance GPUs and AI accelerators designed specifically for edge applications. These products empower edge AI devices across various industries, enhancing AI processing capabilities at the network edge and enabling real-time decision-making. NVIDIA's GPUs are known for their parallel processing power, making them ideal for handling complex AI workloads in edge scenarios where low latency and high performance are critical.
On the other hand, Intel Corporation brings its expertise in processors, vision accelerators, and memory solutions optimized for edge AI workloads. Intel's processors are widely used in edge computing deployments, providing the necessary computing power for AI inferencing tasks at the edge. The company's vision accelerators enhance the capabilities of edge devices for tasks such as object recognition, facial detection, and other vision-based AI applications. Additionally, Intel's memory solutions play a crucial role in enabling efficient data storage and access for edge AI devices, ensuring quick retrieval and processing of data at the edge.
Both NVIDIA and Intel are actively involved in driving innovation in the edge AI hardware market, introducing new products, partnerships, and initiatives to address the evolving needs of customers across different industries. These market players are focused on enhancing the performance, efficiency, and scalability of edge AI hardware to meet the growing demand for intelligent edge solutions. With the increasing adoption of edge computing and AI technologies in various sectors such as healthcare, automotive, manufacturing, and retail, the competition between NVIDIA and Intel is expected to intensify as they strive to deliver cutting-edge solutions that drive value for their customers.
Furthermore, the market dynamics in the edge AI hardware segment are influenced by factors such as technological advancements, regulatory environment, competitive landscape, and customer preferences. As organizations continue to invest in edge AI solutions to gain a competitive edge, the demand for high-performance edge AI hardware is projected to rise significantly. In this dynamic market**Global Edge Artificial Intelligence (AI) Hardware Market, By Device**:
- Smartphones
- Cameras
- Robots
- Wearable
- Smart Speaker
- Automotive
- Smart Mirror
**Processors**:
- Central Processing Unit (CPU)
- Graphics Processing Unit (GPU)
- Application-Specific Integrated Circuit (ASIC)
- Others
**Power Consumption**:
- Less than 1W
- 1-3W
- 3-5W
- 5-10W
- More than 10W
**Process**:
- Training
- Inference
**End User Industry**:
- Consumer Electronics
- Smart Home
- Automotive and Transportation
- Government
- Healthcare
- Industrial
- Aerospace and Defence
- Construction
- Others
The edge AI hardware market is witnessing significant growth due to the increasing adoption of AI technologies across various industries. The differentiation in hardware types, such as processors, accelerators, and memory solutions, is driving innovation and enhancing the performance of edge AI devices. The end-user segment diversifies the market applications, with industries like healthcare, automotive, manufacturing, and retail leveraging edge AI hardware for specific use cases. Deployment options, including on-premises and cloud deployment, offer organizations flexibility in implementing edge AI solutions based on their requirements.
Market players like NVIDIA Corporation and Intel Corporation dominate the edge AI hardware market with their advanced GPUs, AI accelerators, processors, and memory solutions tailored for edge computing applications.
Table of Content:
Part 01: Executive Summary
Part 02: Scope of the Report
Part 03: Global Edge Artificial Intelligence (AI) Hardware Market Landscape
Part 04: Global Edge Artificial Intelligence (AI) Hardware Market Sizing
Part 05: Global Edge Artificial Intelligence (AI) Hardware Market Segmentation By Product
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
Core Objective of Edge Artificial Intelligence (AI) Hardware Market:
Every firm in the Edge Artificial Intelligence (AI) Hardware Market has objectives but this market research report focus on the crucial objectives, so you can analysis about competition, future market, new products, and informative data that can raise your sales volume exponentially.
- Size of the Edge Artificial Intelligence (AI) Hardware Market and growth rate factors.
- Important changes in the future Edge Artificial Intelligence (AI) Hardware Market.
- Top worldwide competitors of the Market.
- Scope and product outlook of Edge Artificial Intelligence (AI) Hardware Market.
- Developing regions with potential growth in the future.
- Tough Challenges and risk faced in Market.
- Global Edge Artificial Intelligence (AI) Hardware top manufacturers profile and sales statistics.
Browse Trending Reports:
Air Seeders Market
Digital Farming Software Market
Inline Metrology Market
Metformin Market
Rigid Recycled Plastics Market
Purified Water Market
Spindle Cell Spindle Cell Sarcoma Drugs Market
Smart Personal Safety And Security Devices Market
Smoked Cheese Market
Healthcare Contact Center Solutions Market
Chaple Syndrome Market
Smart Lecture Capture Market
Military Embedded Systems Market
Timing Devices Market
Food Grade Maltodextrin Market
Mens Underwear Market
Women Intimate Care Products Market
Powered Storage Devices Market
Vegan Footwear Market
Stretch Mark Removal Products Market
Baby Cribs Market
Medium Density Fiberboard Market
Point Of Care Ultrasound Market
About Data Bridge Market Research:
Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.
Contact Us:
Data Bridge Market Research
US: +1 614 591 3140
UK: +44 845 154 9652
APAC : +653 1251 975
Email: corporatesales@databridgemarketresearch.com" Report this page