Global AI Chipsets Industry Analysis Report 2023-2028: The Fusion of AI and IoT Drives Chipset Innovation - Edge Computing, Blockchain, and Data Analytics to Gain

DUBLIN, Sept. 13, 2023 /PRNewswire/ -- The "AI Chipsets for Wireless Networks and Devices, Cloud and Next Generation Computing, IoT, and Big Data Analytics 2023 - 2028" report has been added to  ResearchAndMarkets.com's offering.

This report conducts an assessment of key players within the AI chipsets ecosystem, examining their technology strategies and solution blueprints. These evaluations encompass the utilization of AI chipsets to bolster emerging and disruptive technological domains, such as edge computing, 5G networks, and blockchain systems. The report further explores AI's role in advancing nascent computing technologies like edge platforms and servers.

In addition, this report appraises potential applications and service support scenarios for AI chipsets spanning nearly all major industry sectors. It delivers projections for AI chipset hardware, embedded software, professional services, deployment platforms, and applications across major industry verticals, accompanied by regional and national forecasts spanning from 2023 to 2028. Exclusive recommendations tailored to stakeholders within the AI chipsets ecosystem are also included.

The AI chipset market stands on the precipice of revolutionizing the entire embedded system landscape, offering a diverse array of AI capabilities, including deep machine learning and image recognition. With AI-equipped chipsets expected to be shipped in 88% of all electronic devices worldwide, over 62% of electronic systems are slated to incorporate embedded intelligence by 2028. This seismic shift will have transformative implications for essential business functions like identity management, authentication, and cybersecurity.

Multi-processor AI chipsets possess the ability to adapt to their environment, users, and machines, uncovering concealed data patterns, predicting actionable insights, and executing actions based on specific contexts. These chipsets will integrate seamlessly into AI software/systems and play a pivotal role in supporting data-intensive operations, markedly enhancing processing capabilities across various functions and overall computing performance. Their impact will reverberate through the realm of Information and Communication Technology (ICT), spanning domains from decision support and data analytics to product safety and system optimization.

The benefits of AI chipsets will manifest indirectly for consumers, elevating product and service performance, particularly in areas like device and cloud-based gaming. Enterprises and industrial sectors will reap rewards through enhanced automated decision-making, particularly within domains like robotic process automation, decision support systems, and comprehensive data management. AI chipsets will prove invaluable for edge equipment in business settings, enabling real-time data analytics and facilitating seamless decisions between data storage and processing.

Select Report Findings:

• More than 88% of global chipsets will be AI-equipped
• United States will generate over $18 billion USD by 2028
• Embedded AI in IoT "Things" is the fastest growing platform area
• IoT will represent over 88% of the entire AI chipsets market by 2028
• Combination of AI and IoT (AIoT) will drive significant chipset innovation
• Edge Computing, Blockchain, and Data Analytics will be near-term drivers
• Top 20 vendors comprise greater than 95% of the entire AI chipsets market

Key Topics Covered:

1.0 Executive Summary

2.0 Research Overview
2.1 Research Objectives
2.2 Select Findings

3.0 AI Chipsets Introduction
3.1 AI Chipsets
3.1.1 Chipset Components
3.1.2 General Purpose Applications
3.2 AI Systems
3.3 Market Dynamics Analysis
3.4 AI Investments
3.5 Competitive Market

4.0 Technologies, Solutions, and Markets
4.1 Chipsets Technology and Products
4.2 AI Technology
4.2.1 Machine Learning
4.2.2 Machine Learning APIs
4.2.3 Deep Machine Learning
4.2.4 Natural Language Processing
4.2.5 Computer Vision
4.2.6 Voice Recognition
4.2.7 Context Awareness Computing
4.2.8 Neural Networks
4.2.9 Facial Recognition
4.3 Deployment Platform
4.4 IoT Sector
4.5 Applications in Industry Verticals
4.6 Regional Markets
4.7 Value Chain
4.8 5G Network and Edge Computing
4.9 Cloud Computing and Data Analytics
4.10 Industry 4.0 and Factory Automation
4.11 Autonomous Networks
4.12 Blockchain Networks
4.13 Quantum Computing
4.14 Machine Intelligence
4.15 Nanoscale Technology
4.16 Mobile Network Operators

5.0 Company Analysis
5.1 NVidia Corporation
5.2 IBM Corporation
5.3 Intel Corporation
5.4 Samsung Electronics Co Ltd.
5.5 Microsoft Corporation
5.6 Baidu Inc.
5.7 Qualcomm Incorporated
5.8 Huawei Technologies Co. Ltd.
5.9 Fujitsu Ltd.
5.10 Softbank Group Corp. (ARM Limited)
5.11 Apple Inc.
5.12 Amazon Inc.
5.13 SK Telecom
5.14 Inbenta Technologies Inc.
5.15 Microchip Technology Inc.
5.16 Texas Instruments Inc.
5.17 Advanced Micro Devices Inc.
5.18 XILINX Inc.
5.19 Micron Technology
5.20 AIBrain Inc.
5.21 General Vision Inc.
5.22 Sentient Technologies Holdings Limited
5.23 Graphcore
5.24 Analog Devices Inc.
5.25 Cypress Semiconductor Corp
5.26 Rohm Semiconductor
5.27 Semtech Corporation
5.28 NXP Semiconductors N.V.
5.29 STMicroelectronics
5.30 MediaTek Inc.
5.31 Renesas Electronics Corporation
5.32 ZTE Corporation
5.33 NEC Corporation
5.34 Broadcom Corporation
5.35 Integrated Device Technology Inc.
5.36 Toshiba Corporation
5.37 Adapteva Inc.
5.38 Applied Materials Inc.
5.39 Bitmain Technologies Inc.
5.40 Cambricon Technologies Corporation Limited
5.41 DeePhi Tech
5.42 Gyrfalcon Technology Inc.
5.43 Horizon Robotics
5.44 Mythic
5.45 Tenstorrent Inc.
5.46 Wave Computing
5.47 Mellanox Technologies
5.48 Koniku
5.49 Numenta Inc.
5.50 Imagination Technologies Limited
5.51 Synopsys Inc.
5.52 SenseTime
5.53 Marvell Technology Group Ltd.
5.54 Cadence Design Systems Inc.
5.55 Rockchip
5.56 VeriSilicon Limited
5.57 Knuedge Inc.
5.58 KRTKL Inc.
5.59 Shanghai Think-Force Electronic Technology Co. Ltd.
5.60 SK Hynix Inc.
5.61 Taiwan Semiconductor Manufacturing Company Limited
5.62 Alphabet (Google)
5.63 Thinci
5.64 LG Corporation
5.65 SambaNova Systems
5.66 Groq
5.67 Kalray
5.68 Facebook
5.69 Almotive
5.70 AnotherBrain
5.71 BrainChip Holdings
5.72 Cerebras Systems
5.73 Chipintelli
5.74 Tesla (DeepScale)
5.75 Kneron
5.76 NovuMind
5.77 ThinkForce
5.78 Vathys
5.79 Nervana Systems
5.80 Barefoot Networks
5.81 Alibaba Group
5.82 Megvii
5.83 HPE
5.84 Dell Inc.
5.85 Western Digital
5.86 Habana
5.87 Nokia

6.0 AI Chipsets Market Analysis and Forecasts 2023 - 2028
6.1 Global AI Chipsets Market 2023 - 2028
6.1.1 Total Global Market Size 2023 - 2028
6.1.2 Market by Segment 2023 - 2028
6.1.2.1 Market by Hardware 2023 - 2028
6.1.2.2 Software Market by AI Technology 2023 - 2028
6.1.2.3 Market by Service 2023 - 2028
6.1.2.4 Market by Professional Service 2023 - 2028
6.1.3 Market by Deployment Platform 2023 - 2028
6.1.3.1 Market by IoT Device 2023 - 2028
6.1.3.2 Market by Non-IoT Device 2023 - 2028
6.1.3.3 Market by IoT "Things" 2023 - 2028
6.1.4 Market by Application 2023 - 2028
6.1.5 Market by Industry Vertical 2023 - 2028
6.1.6 Market by AI in Consumer, Enterprise, Industrial, and Government 2023 - 2028
6.1.7 Market in 5G Networks 2023 - 2028
6.1.7.1 Overall AI in 5G Networks Market 2023 - 2028
6.1.7.2 Market in 5G Network by Hardware, Software, and Services 2023 - 2028
6.1.8 Market in Edge Computing Networks 2023 - 2028
6.1.8.1 Overall AI in Edge Computing 2023 - 2028
6.1.8.2 Market in Edge Computing Networks by Hardware, Software, and Services
6.1.9 Market in Cloud Computing 2023 - 2028
6.1.10 Market in Quantum Computing 2023 - 2028
6.2 Regional AI Chipsets Market 2023 - 2028
6.2.1 Market by Region 2023 - 2028
6.3 AI Chipsets Deployment Forecast 2023 - 2028
6.3.1 Total Global Deployment 2023 - 2028
6.3.2 Deployment by Segment 2023 - 2028
6.3.3 Deployment by Platform 2023 - 2028
6.3.4 Deployment by AI Technology 2023 - 2028
6.3.4.1 Deployment by AI Technology Type 2023 - 2028
6.3.4.2 Deployment by Machine Learning Technology 2023 - 2028
6.3.5 Deployment by Application 2023 - 2028
6.3.6 Deployment by Industry Vertical 2023 - 2028
6.3.7 Deployment by Price Range 2023 - 2028
6.3.8 Deployment by Region 2023 - 2028

7.0 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/1wapdj

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