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

DUBLIN – (COMMERCIAL THREAD)–The “AI chipset for wireless networks and devices, cloud and next generation computing, IoT and big data analytics 2021 – 2026” report was added to offer.

This report assesses the major market players in the AI ​​chipset ecosystem, technology strategies and solution plans. This includes the use of AI chipsets to support various emerging technology and disintermediation areas such as advanced computing, 5G, and blockchain systems. Other areas covered include AI support for emerging computing technologies, including platforms and edge servers.

This report also assesses the applications and service support scenarios for AI chipsets in nearly all major industry verticals. The report provides forecasts for AI chipset hardware, embedded software, professional services, deployment platforms and applications for each major vertical industry along with regional and country forecasts for 2021 to 2026. The report also provides exclusive recommendations to stakeholders within the AI ​​chipset ecosystem. .

Select the report results:

  • More than 86% of the world’s chipsets will be equipped with AI

  • United States to generate over US $ 15.2 billion by 2026

  • AI Embedded in IoT “Things” is the fastest growing platform area

  • IoT will represent over 78% of the total AI chipset market by 2026

  • Combination of AI and IoT (AIoT) will drive significant chipset innovation

  • Edge Computing, Blockchain and Data Analytics Will Be Short-Term Drivers

  • Top 20 vendors account for over 93% of the overall AI chipset market

Companies mentioned

  • Adapteva inc.

  • Advanced Micro Devices Inc.

  • AIBrain Inc.

  • Alibaba Group

  • Almotive

  • Alphabet (Google)

  • Amazon Inc.

  • Analog Devices Inc.

  • another brain

  • Apple Inc.

  • Applied Materials Inc.

  • Baidu inc.

  • Barefoot networks

  • Bitmain Technologies Inc.

  • BrainChip Holdings

  • Broadcom Corporation

  • Cadence Design Systems Inc.

  • Cambricon Technologies Corporation Limited

  • Brain Systems

  • Chipintelli

  • Cypress Semiconductor Corp

  • DeePhi Tech

  • Dell EMC

  • Facebook

  • Fujitsu Ltd.

  • General Vision Inc.

  • Graphcore

  • Groq

  • Gyrfalcon Technology Inc.

  • Havana

  • Horizon Robotics

  • HPE

  • Huawei Technologies Co. Ltd.

  • IBM Company

  • And many other companies!

The AI ​​chipset market is poised to transform the entire embedded systems ecosystem with a host of AI capabilities such as deep machine learning, image detection and many more . With 86% of all chipsets shipped globally equipped with AI, more than 59% of all electronic devices will have some form of built-in intelligence by 2026. This will also transform existing critical business functions such as management of identities, authentication and cybersecurity.

Multiprocessor AI chipsets learn from the environment, users, and machines to discover patterns hidden among data, predict actionable insights, and perform actions based on specific situations. AI chipsets will become an integral part of AI software / systems as well as an essential support of any data-intensive operation, as they dramatically improve the handling of various functions and improve overall computing performance. It will be a boon for many aspects of ICT, ranging from decision support and data analysis to product safety and system optimization.

Consumers will indirectly experience benefits through improved performance of products and services, such as cloud-based devices and games. Businesses and industrial users will benefit from the general improvements in automated decision making, particularly in the areas of robotic process automation, decision support systems and overall data management. AI chipsets will be particularly useful for advanced equipment for real-time data analysis and storage versus processing decisions.

Main topics covered:

1.0 Executive summary

2.0 Research Overview

3.0 Overview of AI Chipsets

3.1 AI Chipsets

3.1.1 Chipset components

3.1.2 General purpose applications

3.2 AI systems

3.3 Analysis of market dynamics

3.4 AI investments

3.5 Competitive market

4.0 Technologies, solutions and markets

4.1 Chipset technology and products

4.2 AI technology

4.2.1 Automatic learning

4.2.2 Machine learning API

4.2.3 Deep Machine Learning

4.2.4 Natural language processing

4.2.5 Computer vision

4.2.6 Speech recognition

4.2.7 Contextual 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 analysis

4.10 Industry 4.0 and factory automation

4.11 Autonomous networks

4.12 Blockchain networks

4.13 Quantum computing

4.14 Artificial intelligence

4.15 Nanoscale technology

4.16 Mobile network operators

5.0 Business Analysis

6.0 AI Chipsets Market Analysis and Forecast 2021-2026

6.1 Global AI Chipsets Market 2021-2026

6.2 Regional AI Chipsets Market 2021-2026

6.3 AI Chipsets Deployment Forecast 2021 – 2026

7.0 Conclusions and Recommendations

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