Press release
Global Edge AI Hardware Market: Soaring to $20.53 Billion by 2029 with Advanced Hardware Architecture and a 22.5% CAGR
Brace for New Heights in the Edge AI Hardware Market Powered by IoT Growth, Hardware Innovations and Emerging Trends.What Is The Projected Market Size Of The Global Edge AI Hardware Market And Its Growth Rate?
• The Edge AI Hardware market is anticipated to grow from $7.74 billion in 2024 to $9.12 billion in 2025, marking a CAGR of 17.9%.
• By 2029, the market will reach $20.53 billion, with a significant CAGR of 22.5%.
• Growth factors include improvements in AI algorithms, increasing demand for low latency and privacy, data security concerns, and advances in hardware architecture.
• The rise of IoT devices also contributes significantly to the market's growth.
What Is Driving The Growth In The Edge AI Hardware Market?
The surge in IoT applications is projected to fuel the Edge AI Hardware market in the coming years. IoT applications are an amalgamation of services and programs that integrate data from a multitude of IoT devices. The rise in IoT applications can significantly boost the Edge AI hardware market by aggregating data from multiple sources and delivering it to the network's edge. To illustrate, a report published in November 2022 by Ericsson highlighted that broadband IoT (4G/5G), which connects a majority of cellular IoT devices, reached 1.3 billion connections in 2022. By the end of 2028, nearly 60% of cellular IoT connections are expected to be broadband IoT connections, with 4G accounting for most connections. North East Asia currently leads in cellular IoT connections and is expected to surpass 2 billion connections by 2023.
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Who Are the Key Players Driving Edge AI Hardware Market Growth?
• Apple Inc.
• MediaTek Inc.
• Qualcomm Technologies Inc.
• Huawei Technologies Co. Ltd.
• Samsung Electronics Co. Ltd.
• Intel Corporation
• NVIDIA Corporation
• International Business Machines Corporation
• Google LLC
• Microsoft Corporation
• Advanced Micro Devices Inc.
• Imagination Technologies Limited
• Adapteva Inc.
• Arm Limited
• ADLINK Technology Inc.
• Alphabet Inc.
• Amazon.com Inc.
• Baidu Inc.
• Continental AG
• Denso Corporation
• Renesas Electronics Corporation
• Infineon Technologies AG
• KALRAY Corporation
• Robert Bosch GmbH
• Rockchip Electronics Co. Ltd.
• NXP Semiconductors N.V.
• ON Semiconductor Corporation
• Oracle Corporation
• STMicroelectronics N.V.
What Are The Key Trends In The Edge AI Hardware Market?
• The significant trends include AI model optimization for edge, hardware acceleration solutions, edge-to-cloud synergy, decentralized AI applications, federated learning adoption.
What Are The Segments Of The Global Edge AI Hardware Market?
• By Component: Processor, Memory, Sensor, Other Components
• By Device Type: Smartphones, Cameras, Robots, Wearables, Smart Speakers, Other Device Types
• By End User: Consumer Electronics, Smart Home, Automotive, Government, Aerospace and Defense, Healthcare, Industrial, Construction, Other End Users
Which Region Leads The Edge AI Hardware Market?
North America was the largest regional market for Edge AI Hardware in 2024. However, Asia-Pacific is expected to be the fastest-growing region during the forecast period. Other significant regions include Western Europe, Eastern Europe, South America, Middle East, and Africa.
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What Is Covered In The Edge AI Hardware Market Global Market Report?
- Market Size Analysis: Analyze the Edge AI Hardware Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Edge AI Hardware Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
- Market Contribution: Evaluate contributions of different segments to the overall Edge AI Hardware Market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the Edge AI Hardware Market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.
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