
AI Chipsets in Telecommunications and Computing Market Outlook and Forecasts 2022 – 2030
Description
AI Chipsets in Telecommunications and Computing Market Outlook and Forecasts 2022 – 2030
The AI Chipset Market is driven by many factors including the fact that AI is increasingly integrated in many areas including Internet search, entertainment, commerce applications, content optimization, and robotics.
The long-term prospect for AI Chipsets is that they will become embedded in many different other technologies and provide autonomous decision making on behalf of humans, both directly, and indirectly through many processes, products, and services.
This report evaluates leading players across the AI chipset market ecosystem, technology strategies, and solution plans. This includes leveraging AI chipsets for support of various emerging and disintermediating technology areas such as edge computing, 5G, and Blockchain networks. Additional areas addressed include AI support of emerging computing technologies.
Select Report Findings:
More than 85% of global chipsets will be AI-equipped
United States will generate over $55 billion USD by 2030
Embedded AI in IoT “Things” is the fastest growing platform area
IoT will represent over 83% of the entire AI chipsets market by 2030
Combination of AI and IoT (AIoT) will drive significant chipset innovation
Edge Computing, Blockchain, and Data Analytics will be near-term drivers
Companies in Report:
Achronix Semiconductor Corporation
Adapteva Inc.
Advanced Micro Devices
AI-Benchmark
AIBrain Inc.
AIIA
AIMotive
AISPEECH
AIStorm Inc.
Alchip Technologies
Alibaba Group
Alphabet (Google)
Amazon Inc.
ANAFLASH
Analog Devices Inc.
AnotherBrain
Apache Tvm (Apache Software Foundation)
Apple Inc.
Applied Materials Inc.
Areanna AI
ARM Limited (Softbank Group)
ARTERIS Inc.
Artosyn
Baidu Inc.
BITMAIN Technologies
Black Sesame Technologies
Blaize
Brainchip
Broadcom Inc.
Cadence Design Systems
Cambricon Technologies
Canaan Inc.
Cerebras Systems
CEVA Inc.
ChipIntelli
DAWNBench
Dell Technologies
EEMBC MLMark Benchmark
Enflame Tech
Esperanto Technologies
ETA Compute
Faraday Technology Corporation
Flex Logix Technologies
Fujitsu Inc.
General Vision Inc.
Global Unichip Corp
GrAI Matter Labs
Graphcore
GreenWaves Technologies
Groq Inc.
Gyrfalcon Technology
HAILO
Hewlett Packard Enterprise
Horizon Robotics
Huawei Technology
IBM Corporation
Imagination Technologies
Inbenta Holding
Infineon Technologies AG (Cypress Semiconductor)
INNOGRIT
Intel Corporation
IntelliFusion
KALRAY
KNERON
KONIKU
KRTKL Inc.
LG Corporation
Lightelligence
Lightmatter
Marvell Technology
Matrix AI
MediaTek Inc.
MEGVII
Meta (Facebook)
Microchip Technology Inc.
Micron Technology
Microsoft Corporation
MIPS (Wave Computing)
MLPErf
Mythic
Nationalchip Science & Technology
NEC Corporation
NeuroBlade Ltd.
NextVPU
Nokia Corporation
Novumind
Numenta Inc.
Nvidia Corporation
NXP Semiconductors
OctoML
Onnc (Skymizer Taiwan)
Optalysys Ltd.
Pezy Computing
Preferred Networks
Qualcomm Incorporated
Rain Neuromorphics
Renesas Electronics Corporation
Rockchip Electronics
ROHM Co. Ltd.
Rokid Inc.
SambaNova Systems
Samsung Electronics
SEMTECH
SenseTime
SiFive Inc.
SK Hynix Inc.
SK Telecom
STMicroelectronics
Synopsys Inc.
SynSense (Aictx)
SYNTIANT CORP
Tachyum
Taiwan Semiconductor Manufacturing Company Limited
Tensor Algebra Compiler
TensorFlow
Tenstorrent
Tesla (DeepScale)
Texas Instruments
Thinkforce
Tiramisu Compiler
Toshiba Corporation
Tsing Micro
Unisoc Technologies
Unisound
Vathys
VeriSilicon
Western Digital
YITU Tech
ZTE Corporation
The AI Chipset Market is driven by many factors including the fact that AI is increasingly integrated in many areas including Internet search, entertainment, commerce applications, content optimization, and robotics.
The long-term prospect for AI Chipsets is that they will become embedded in many different other technologies and provide autonomous decision making on behalf of humans, both directly, and indirectly through many processes, products, and services.
This report evaluates leading players across the AI chipset market ecosystem, technology strategies, and solution plans. This includes leveraging AI chipsets for support of various emerging and disintermediating technology areas such as edge computing, 5G, and Blockchain networks. Additional areas addressed include AI support of emerging computing technologies.
Select Report Findings:
More than 85% of global chipsets will be AI-equipped
United States will generate over $55 billion USD by 2030
Embedded AI in IoT “Things” is the fastest growing platform area
IoT will represent over 83% of the entire AI chipsets market by 2030
Combination of AI and IoT (AIoT) will drive significant chipset innovation
Edge Computing, Blockchain, and Data Analytics will be near-term drivers
Companies in Report:
Achronix Semiconductor Corporation
Adapteva Inc.
Advanced Micro Devices
AI-Benchmark
AIBrain Inc.
AIIA
AIMotive
AISPEECH
AIStorm Inc.
Alchip Technologies
Alibaba Group
Alphabet (Google)
Amazon Inc.
ANAFLASH
Analog Devices Inc.
AnotherBrain
Apache Tvm (Apache Software Foundation)
Apple Inc.
Applied Materials Inc.
Areanna AI
ARM Limited (Softbank Group)
ARTERIS Inc.
Artosyn
Baidu Inc.
BITMAIN Technologies
Black Sesame Technologies
Blaize
Brainchip
Broadcom Inc.
Cadence Design Systems
Cambricon Technologies
Canaan Inc.
Cerebras Systems
CEVA Inc.
ChipIntelli
DAWNBench
Dell Technologies
EEMBC MLMark Benchmark
Enflame Tech
Esperanto Technologies
ETA Compute
Faraday Technology Corporation
Flex Logix Technologies
Fujitsu Inc.
General Vision Inc.
Global Unichip Corp
GrAI Matter Labs
Graphcore
GreenWaves Technologies
Groq Inc.
Gyrfalcon Technology
HAILO
Hewlett Packard Enterprise
Horizon Robotics
Huawei Technology
IBM Corporation
Imagination Technologies
Inbenta Holding
Infineon Technologies AG (Cypress Semiconductor)
INNOGRIT
Intel Corporation
IntelliFusion
KALRAY
KNERON
KONIKU
KRTKL Inc.
LG Corporation
Lightelligence
Lightmatter
Marvell Technology
Matrix AI
MediaTek Inc.
MEGVII
Meta (Facebook)
Microchip Technology Inc.
Micron Technology
Microsoft Corporation
MIPS (Wave Computing)
MLPErf
Mythic
Nationalchip Science & Technology
NEC Corporation
NeuroBlade Ltd.
NextVPU
Nokia Corporation
Novumind
Numenta Inc.
Nvidia Corporation
NXP Semiconductors
OctoML
Onnc (Skymizer Taiwan)
Optalysys Ltd.
Pezy Computing
Preferred Networks
Qualcomm Incorporated
Rain Neuromorphics
Renesas Electronics Corporation
Rockchip Electronics
ROHM Co. Ltd.
Rokid Inc.
SambaNova Systems
Samsung Electronics
SEMTECH
SenseTime
SiFive Inc.
SK Hynix Inc.
SK Telecom
STMicroelectronics
Synopsys Inc.
SynSense (Aictx)
SYNTIANT CORP
Tachyum
Taiwan Semiconductor Manufacturing Company Limited
Tensor Algebra Compiler
TensorFlow
Tenstorrent
Tesla (DeepScale)
Texas Instruments
Thinkforce
Tiramisu Compiler
Toshiba Corporation
Tsing Micro
Unisoc Technologies
Unisound
Vathys
VeriSilicon
Western Digital
YITU Tech
ZTE Corporation
Table of Contents
549 Pages
- 1.0 Executive Summary
- 2.0 Introduction
- 2.1 AI Chipsets
- 2.1.1 Chipset Components
- 2.1.2 General Purpose Applications
- 2.2 AI Systems
- 2.3 Market Dynamics Analysis
- 2.4 AI Investments
- 2.5 Competitive Market
- 3.0 AI Chipsets Technology and Application Analysis
- 3.1 Chipsets Technology and Products
- 3.2 AI Technology
- 3.2.1 Machine Learning
- 3.2.2 Machine Learning APIs
- 3.2.3 Deep Machine Learning
- 3.2.4 Natural Language Processing
- 3.2.5 Computer Vision
- 3.2.6 Voice Recognition
- 3.2.7 Context Awareness Computing
- 3.2.8 Neural Networks
- 3.2.9 Facial Recognition
- 3.3 Deployment Platform
- 3.4 IoT Sector
- 3.5 Applications in Industry Verticals
- 3.6 Regional Markets
- 3.7 Value Chain
- 3.8 5G Network and Edge Computing
- 3.9 Cloud Computing and Data Analytics
- 3.10 Industry 4.0 and Factory Automation
- 3.11 Autonomous Networks
- 3.12 Blockchain Networks
- 3.13 Quantum Computing
- 3.14 Machine Intelligence
- 3.15 Nanoscale Technology
- 3.16 Mobile Network Operators
- 4.0 AI Chipset Company Analysis
- 4.1 Alphabet (Google)
- 4.2 Microsoft Corporation
- 4.3 Meta (Facebook)
- 4.4 Apple Inc.
- 4.5 IBM Corporation
- 4.6 Alibaba Group
- 4.7 Huawei Technology
- 4.8 Baidu Inc.
- 4.9 Tesla (DeepScale)
- 4.10 Hewlett Packard Enterprise
- 4.11 Fujitsu Inc.
- 4.12 Dell Technologies
- 4.13 Western Digital
- 4.14 Nokia Corporation
- 4.15 LG Corporation
- 4.16 Thinkforce
- 4.17 Canaan Inc.
- 4.18 Rokid Inc.
- 4.19 Cambricon Technologies
- 4.20 Horizon Robotics
- 4.21 BITMAIN Technologies
- 4.22 IntelliFusion
- 4.23 YITU Tech
- 4.24 NextVPU
- 4.25 Artosyn
- 4.26 Tsing Micro
- 4.27 Black Sesame Technologies
- 4.28 Enflame Tech
- 4.29 ChipIntelli
- 4.30 Unisound
- 4.31 AISPEECH
- 4.32 TensorFlow
- 4.33 Intel Corporation
- 4.34 Onnc (Skymizer Taiwan)
- 4.35 Apache Tvm (Apache Software Foundation)
- 4.36 OctoML
- 4.37 Nvidia Corporation
- 4.38 Tiramisu Compiler
- 4.39 Tensor Algebra Compiler
- 4.40 MLPErf
- 4.41 AI-Benchmark
- 4.42 Matrix AI
- 4.43 AIIA
- 4.44 DAWNBench
- 4.45 EEMBC MLMark Benchmark
- 4.46 ARM Limited (Softbank Group)
- 4.47 Synopsys Inc.
- 4.48 Imagination Technologies
- 4.49 CEVA Inc.
- 4.50 Cadence Design Systems
- 4.51 SiFive Inc.
- 4.52 ARTERIS Inc.
- 4.53 VeriSilicon
- 4.54 Broadcom Inc.
- 4.55 Global Unichip Corp
- 4.56 Alchip Technologies
- 4.57 Faraday Technology Corporation
- 4.58 Marvell Technology
- 4.59 Cerebras Systems
- 4.60 MIPS (Wave Computing)
- 4.61 Graphcore
- 4.62 SambaNova Systems
- 4.63 HAILO
- 4.64 Blaize
- 4.65 KALRAY
- 4.66 Groq Inc.
- 4.67 Tachyum
- 4.68 Esperanto Technologies
- 4.69 Pezy Computing
- 4.70 ETA Compute
- 4.71 GreenWaves Technologies
- 4.72 Preferred Networks
- 4.73 INNOGRIT
- 4.74 KNERON
- 4.75 AIStorm Inc.
- 4.76 NeuroBlade Ltd.
- 4.77 Novumind
- 4.78 Tenstorrent
- 4.79 AIMotive
- 4.80 Achronix Semiconductor Corporation
- 4.81 Flex Logix Technologies
- 4.82 Mythic
- 4.83 Areanna AI
- 4.84 ANAFLASH
- 4.85 Gyrfalcon Technology
- 4.86 SYNTIANT CORP
- 4.87 Lightelligence
- 4.88 Lightmatter
- 4.89 Optalysys Ltd.
- 4.90 Brainchip
- 4.91 SynSense (Aictx)
- 4.92 Rain Neuromorphics
- 4.93 GrAI Matter Labs
- 4.94 Samsung Electronics
- 4.95 Qualcomm Incorporated
- 4.96 Advanced Micro Devices
- 4.97 MediaTek Inc.
- 4.98 Unisoc Technologies
- 4.99 Rockchip Electronics
- 4.100 Nationalchip Science & Technology
- 4.101 NXP Semiconductors
- 4.102 Texas Instruments
- 4.103 Renesas Electronics Corporation
- 4.104 Toshiba Corporation
- 4.105 STMicroelectronics
- 4.106 Amazon Inc.
- 4.107 SK Telecom
- 4.108 Inbenta Holding
- 4.109 Microchip Technology Inc.
- 4.110 Micron Technology
- 4.111 AIBrain Inc.
- 4.112 General Vision Inc.
- 4.113 Analog Devices Inc.
- 4.114 Infineon Technologies AG (Cypress Semiconductor)
- 4.115 ROHM Co. Ltd.
- 4.116 SEMTECH
- 4.117 ZTE Corporation
- 4.118 NEC Corporation
- 4.119 Adapteva Inc.
- 4.120 Applied Materials Inc.
- 4.121 KONIKU
- 4.122 Numenta Inc.
- 4.123 SenseTime
- 4.124 KRTKL Inc.
- 4.125 SK Hynix Inc.
- 4.126 Taiwan Semiconductor Manufacturing Company Limited (TSMC)
- 4.127 AnotherBrain
- 4.128 Vathys
- 4.129 MEGVII
- 5.0 AI Chipset Market Analysis and Forecasts 2022 – 2030
- 5.1 Global AI Chipsets Market 2022 – 2030
- 5.1.1 Total Global Market Size 2022 – 2030
- 5.1.2 Market by Segment 2022 – 2030
- 5.1.2.1 Market by Hardware 2022 – 2030
- 5.1.2.1.1 Market by Product 2022 – 2030
- 5.1.2.1.2 Product Market by Technology 2022 – 2030
- 5.1.2.1.3 Market by Processor Type 2022 – 2030
- 5.1.2.2 Software Market by AI Technology 2022 – 2030
- 5.1.2.2.1 Software Market by AI Technology Type 2022 – 2030
- 5.1.2.2.2 Software Market by ML Technology 2022 – 2030
- 5.1.2.3 Market by Service 2022 – 2030
- 5.1.2.4 Market by Professional Service 2022 – 2030
- 5.1.3 Market by Deployment Platform 2022 – 2030
- 5.1.3.1 Market by IoT Device 2022 – 2030
- 5.1.3.1.1 Market by Wearable Device 2022 – 2030
- 5.1.3.1.2 Market by Medical and Healthcare Device 2022 – 2030
- 5.1.3.1.3 Market by Smart Appliances 2022 – 2030
- 5.1.3.1.4 Market by Industrial Machine 2022 – 2030
- 5.1.3.1.5 Market by Entertainment Device 2022 – 2030
- 5.1.3.1.6 Market by Security Device 2022 – 2030
- 5.1.3.1.7 Market by Network Device 2022 – 2030
- 5.1.3.1.8 Market by Connected Vehicle Device 2022 – 2030
- 5.1.3.1.9 Market by Smart Grid Device 2022 – 2030
- 5.1.3.1.10 Market by Military Device 2022 – 2030
- 5.1.3.1.11 Market by Energy Management Device 2022 – 2030
- 5.1.3.1.12 Market by Agriculture Specific Device 2022 – 2030
- 5.1.3.2 Market by Non-IoT Device 2022 – 2030
- 5.1.3.3 Market by IoT “Things” 2022 – 2030
- 5.1.4 Market by Application 2022 – 2030
- 5.1.5 Market by Industry Vertical 2022 – 2030
- 5.1.5.1 Market by Healthcare Application 2022 – 2030
- 5.1.5.2 Market by Manufacturing Application 2022 – 2030
- 5.1.5.3 Market by Consumer Electronics Application 2022 – 2030
- 5.1.5.4 Market by Automotive and Transportation Application 2022 – 2030
- 5.1.5.5 Market by Consumer Retail Application 2022 – 2030
- 5.1.5.6 Market by Marketing Application 2022 – 2030
- 5.1.5.7 Market by FinTech Application 2022 – 2030
- 5.1.5.8 Market by Building and Construction Application 2022 – 2030
- 5.1.5.9 Market by Agriculture Application 2022 – 2030
- 5.1.5.10 Market by Security and Surveillance Application 2022 – 2030
- 5.1.5.11 Market by Government and Military Application 2022 – 2030
- 5.1.5.12 Market by Human Resource Application 2022 – 2030
- 5.1.5.13 Market by Legal Application 2022 – 2030
- 5.1.5.14 Market by Telecommunications and IT Application 2022 – 2030
- 5.1.5.15 Market by Oil, Gas and Mining Applications 2022 – 2030
- 5.1.5.16 Market by Logistics Applications 2022 – 2030
- 5.1.5.17 Market by Education Applications 2022 – 2030
- 5.1.6 Market by AI in Consumer, Enterprise, Industrial and Government 2022 – 2030
- 5.1.7 Market in 5G Networks 2022 – 2030
- 5.1.7.1 Overall AI in 5G Networks Market 2022 – 2030
- 5.1.7.2 Market in 5G Network by Hardware, Software and Services 2022 – 2030
- 5.1.8 Market in Edge Computing Networks 2022 – 2030
- 5.1.8.1 Overall AI in Edge Computing 2022 – 2030
- 5.1.8.2 Market in Edge Computing Network by Hardware, Software, and Services
- 5.1.9 Market in Cloud Computing 2022 – 2030
- 5.1.9.1 Overall AI in Cloud Computing 2022 – 2030
- 5.1.9.2 Market in Cloud Computing by Hardware, Software, and Services
- 5.1.10 Market in Quantum Computing 2022 – 2030
- 5.1.10.1 Overall AI in Quantum Computing 2022 – 2030
- 5.1.10.2 Market in Quantum Computing by Hardware, Software, and Services
- 5.1.10.3 Market in Quantum Computing by Hardware
- 5.1.10.4 Market in Quantum Computing by Software
- 5.1.11 Market in Big Data Analytics 2022 – 2030
- 5.1.11.1 Overall AI in Big Data 2022 – 2030
- 5.1.11.2 Market in Big Data Analytics by Hardware, Software, and Services
- 5.1.12 Market in IoT 2022 – 2030
- 5.1.12.1 AI Chipset Market in IoT by Hardware, Software, and Services 2022 – 2030
- 5.1.12.2 Market in IoT by Deployment Platform 2022 – 2030
- 5.1.12.3 Market in IoT by Consumer, Enterprise, Industrial, and Government 2022 – 2030
- 5.1.13 Market in Blockchain Networks 2022 – 2030
- 5.1.13.1 Market in Blockchain by Hardware, Software, and Services 2022 – 2030
- 5.1.13.2 Market in Blockchain Solution 2022 – 2030
- 5.2 Regional AI Chipsets Market 2022 – 2030
- 5.2.1 Market by Region 2022 – 2030
- 5.2.1.1 North America Market 2022 – 2030
- 5.2.1.2 Europe Market 2022 – 2030
- 5.2.1.3 Asia Pacific Market 2022 – 2030
- 5.2.1.4 Middle East and Africa Market 2022 – 2030
- 5.2.1.5 Latin America Market 2022 – 2030
- 5.3 AI Chipsets Deployment Forecast 2022 – 2030
- 5.3.1 Total Global Deployment 2022 – 2030
- 5.3.2 Deployment by Segment 2022 – 2030
- 5.3.2.1 Deployment by Product 2022 – 2030
- 5.3.2.2 Deployment by Technology 2022 – 2030
- 5.3.2.3 Deployment by Processor Type 2022 – 2030
- 5.3.3 Deployment by Platform 2022 – 2030
- 5.3.3.1 Deployment by IoT Device 2022 – 2030
- 5.3.3.1.1 Deployment by Wearable Device 2022 – 2030
- 5.3.3.1.2 Deployment by Healthcare Device 2022 – 2030
- 5.3.3.1.3 Deployment by Smart Appliances 2022 – 2030
- 5.3.3.1.4 Deployment by Industrial Machines 2022 – 2030
- 5.3.3.1.5 Deployment by Entertainment Device 2022 – 2030
- 5.3.3.1.6 Deployment by Security Device 2022 – 2030
- 5.3.3.1.7 Deployment by Network Device 2022 – 2030
- 5.3.3.1.8 Deployment by Connected Vehicle Device 2022 – 2030
- 5.3.3.1.9 Deployment by Smart Grid Device 2022 – 2030
- 5.3.3.1.10 Deployment by Military Device 2022 – 2030
- 5.3.3.1.11 Deployment by Energy Management Device 2022 – 2030
- 5.3.3.1.12 Deployment by Agriculture Specific Device 2022 – 2030
- 5.3.3.2 Deployment by Non-IoT Device 2022 – 2030
- 5.3.3.3 Deployment by IoT “Things” 2022 – 2030
- 5.3.4 Deployment by AI Technology 2022 – 2030
- 5.3.4.1 Deployment by AI Technology Type 2022 – 2030
- 5.3.4.2 Deployment by Machine Learning Technology 2022 – 2030
- 5.3.5 Deployment by Application 2022 – 2030
- 5.3.6 Deployment by Industry Vertical 2022 – 2030
- 5.3.7 Deployment by Price Range 2022 – 2030
- 5.3.8 Deployment by Region 2022 – 2030
- 5.3.8.1 North America Deployment by Country 2022 – 2030
- 5.3.8.2 Europe Deployment by Country 2022 – 2030
- 5.3.8.3 Asia Pacific Deployment by Country 2022 – 2030
- 5.3.8.4 Middle East and Africa Deployment by Country 2022 – 2030
- 5.3.8.5 Latin America Deployment by Country 2022 – 2030
- 6.0 Conclusions and Recommendations
- 6.1 Advertisers and Media Companies
- 6.2 Artificial Intelligence Providers
- 6.3 Automotive Companies
- 6.4 Broadband Infrastructure Providers
- 6.5 Communication Service Providers
- 6.6 Computing Companies
- 6.7 Data Analytics Providers
- 6.8 Immersive Technology (AR, VR, and MR) Providers
- 6.9 Networking Equipment Providers
- 6.10 Networking Security Providers
- 6.11 Semiconductor Companies
- 6.12 IoT Suppliers and Service Providers
- 6.13 Software Providers
- 6.14 Smart City System Integrators
- 6.15 Automation System Providers
- 6.16 Social Media Companies
- 6.17 Workplace Solution Providers
- 6.18 Large Businesses, SMBs, and Governments
- 6.19 Future Market Direction
Pricing
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