AI Chipsets for Wireless Networks and Devices, Cloud and Next Generation Computing, IoT, and Big Data Analytics 2020 – 2026

AI Chipsets for Wireless Networks and Devices, Cloud and Next Generation Computing, IoT, and Big Data Analytics 2020 – 2026

The AI chipset marketplace is poised to transform the entire embedded system ecosystem with a multitude of AI capabilities such as deep machine learning, image detection, and many others. With 89% of all chipsets globally shipping AI-equipped, over one half of all electronics will have some form of embedded intelligence by 2026. This will also be transformational for existing critical business functions such as identity management, authentication, and cybersecurity.

Multi-processor AI chipsets learn from the environment, users, and machines to uncover hidden patterns among data, predict actionable insight, and perform actions based on specific situations. AI chipsets will become an integral part of both AI software/systems as well as critical support of any data-intensive operation as they drastically improve processing for various functions as well as enhance overall computing performance. This will be a boon for many aspects of ICT ranging from decision support and data analytics to product safety and system optimization.

Consumers will realize benefits indirectly through improved product and service performance such as device and cloud-based gaming. Enterprise and industrial users will benefit through general improvements in automated decision-making, especially in the areas of robotic process automation, decision support systems, and overall data management. AI chipsets will be particularly useful for business edge equipment for real-time data analytics and store versus processing decisions.

This report evaluates leading market players across the AI chipsets 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 systems. Additional areas addressed include AI support of emerging computing technologies including edge platforms and servers.

This report also assesses applications and service support scenarios for AI chipsets across almost all major industry verticals. The report provides forecasts for AI chipset hardware, embedded software, professional service, deployment platforms, and applications for every major industry vertical as well as regional and country forecasts for 2020 to 2026. The report also provides exclusive recommendations for stakeholders within the AI chipsets ecosystem. All direct purchases of Mind Commerce reports include time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:
• AI companies
• Robotics companies
• Investment organizations
• Data management vendors
• Industrial automation companies
• Enterprise across all industry verticals

Select Report Findings:
• More than 83% of global chipsets will be AI-equipped
• United States will generate over $16 billion USD by 2026
• Embedded AI in IoT “Things” is the fastest growing platform area
• IoT will represent over 79% of the entire AI chipsets market by 2026
• 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 93% of the entire AI chipsets market

Companies in Report:
• Adapteva Inc.
• Advanced Micro Devices (AMD) Inc.
• AIBrain Inc.
• Alibaba Group
• Almotive
• Alphabet (Google)
• Amazon Inc. (AWS)
• Analog Devices Inc.
• AnotherBrain
• Apple Inc.
• Applied Materials Inc.
• Baidu Inc.
• Barefoot Networks
• Bitmain Technologies Inc.
• BrainChip Holdings
• Broadcom Corporation
• Cadence Design Systems Inc.
• Cambricon Technologies Corporation Limited
• Cerebras Systems
• Chipintelli
• Cypress Semiconductor Corp
• DeePhi Tech
• Dell Inc. (Dell EMC)
• Facebook
• Fujitsu Ltd.
• General Vision Inc.
• Graphcore
• Groq
• Gyrfalcon Technology Inc.
• Habana
• Horizon Robotics
• HPE
• Huawei Technologies Co. Ltd.
• IBM Corporation
• Imagination Technologies Limited
• Inbenta Technologies Inc.
• Integrated Device Technology (IDT) Inc.
• Intel Corporation
• Kalray
• Kneron
• Knuedge Inc.
• Koniku
• KRTKL Inc.
• LG Corporation
• Marvell Technology Group Ltd.
• MediaTek Inc.
• Megvii
• Mellanox Technologies
• Microchip Technology Inc.
• Micron Technology
• Microsoft Corporation
• Mythic
• NEC Corporation
• Nervana Systems
• Nokia
• NovuMind
• Numenta Inc.
• NVIDIA Corporation
• NXP Semiconductors N.V.
• Qualcomm Incorporated
• Renesas Electronics Corporation
• Rockchip
• Rohm Semiconductor
• SambaNova Systems
• Samsung Electronics Co Ltd.
• Semtech Corporation
• SenseTime
• Sentient Technologies Holdings Limited
• Shanghai Think-Force Electronic Technology Co. Ltd.
• SK Hynix Inc.
• SK Telecom
• Softbank Group Corp. (ARM Limited)
• STMicroelectronics
• Synopsys Inc.
• Taiwan Semiconductor Manufacturing Company Limited (TSMC)
• Tenstorrent Inc.
• Tesla (DeepScale)
• Texas Instruments Inc.
• Thinci
• ThinkForce
• Toshiba Corporation
• Vathys
• VeriSilicon Limited
• Wave Computing
• Western Digital
• XILINX Inc.
• ZTE Corporation