A Look at the AI Chipset Market Growth Powering the Future,Unlocking Intelligence

Artificial Intelligence Chipset Market to reach over USD 128.32 billion by the year 2031 - Exclusive Report by InsightAce Analytic

InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global Artificial Intelligence Chipset Market Size, Share & Trends Analysis Report By Technology (Machine Learning, Natural Language Processing, Computer Vision), Function (Training, Inference), Hardware

(Processor, Memory, Network), End-user Industry (Healthcare, Manufacturing, Automotive, Agriculture, Retail, Cybersecurity, Human Resources, Marketing, Law, Fintech, and Government), Region, Market Outlook And Industry Analysis 2031"

The global Artificial Intelligence Chipset market is estimated to reach over USD 128.32 billion by 2031, exhibiting a CAGR of 27.6% during the forecast period.

Get a free sample copy of the report: https://www.insightaceanalytic.com/request-sample/1897

Artificial intelligence (AI) chipsets are revolutionizing the way we interact with technology. These silicon-based powerhouses, embedded in everything from laptops and smartphones to smart wearables and robots, offer significant advantages:

• Enhanced Processing Power: AI chips deliver superior computational capabilities, enabling devices to handle complex tasks and analyze data more efficiently.

• Improved User Experience: From advanced virtual reality (VR) and augmented reality (AR) to smoother device operations, AI chips elevate user experiences across various applications.

• The Rise of Quantum Computing: Advancements in quantum computing hold immense potential for further growth in the AI chip market.
The global AI chipset market is projected to experience significant growth, fueled by several key trends:

• Surging Demand for AI-powered Devices: The increasing popularity of intelligent devices like smart speakers, autonomous vehicles, and robotics is creating a strong demand for AI chipsets.

• Autonomous Robotics Revolution: The development of autonomous robots, capable of self-management and decision-making, presents exciting growth opportunities for the AI chip market.
However, the market also faces challenges:

• Skilled Labor Shortage: Despite AI chips automating tasks like testing and bug fixing, a lack of skilled professionals to manage their implementation and handle complex situations could hinder market growth.
2024 Update:

As of 2024, the AI chipset market continues its upward trajectory. Here are some additional insights to consider:

• Focus on Efficiency: A growing emphasis on energy efficiency will drive the development of low-power AI chipsets for battery-powered devices like wearables and smartphones.

• Edge Computing: The rise of edge computing, where data processing occurs closer to the source, will create a demand for specialized AI chips optimized for decentralized processing.

• Consolidation and Innovation: We can expect to see further consolidation within the AI chip industry, with established players acquiring smaller firms to gain a competitive advantage. Additionally, ongoing research and development will lead to the introduction of more powerful and versatile AI chip architectures.

This report provides a comprehensive analysis of the AI chipset market, exploring its growth drivers, challenges, and future outlook. It delves into the evolving landscape of AI technology and its impact on intelligent devices, offering valuable insights for businesses and investors alike.

List of Prominent Players in the Artificial Intelligence Chipset Market:

• International Business Machines Corporation (IBM)
• Kalray Corporation
• Kneron
• Koniku Inc
• MediaTek Inc.
• Advanced Micro Devices, Inc. (AMD)
• Alibaba Group Holding Limited
• Alphabet Inc. (Google LLC)
• Amazon Web Services (AWS)
• Fujitsu Limited
• General Vision, Inc.
• Graphcore Limited
• GreenWaves Technologies
• Huawei Technologies Co., Ltd.
• Intel Corporation
• Micron Technology, Inc.
• Microsoft Corporation
• Mythic Inc.
• NVIDIA Corporation
• Qualcomm Technologies, Inc.
• SambaNova Systems Inc
• Samsung Electronics Co., Ltd.
• Tenstorrent Inc.
• Wave Computing, Inc.
• Xilinx, Inc.
• XMOS Limited

Market Dynamics:
Drivers-
The tremendous growth in data volume brought on by the increasing use of social media and e-commerce has boosted the demand for high-speed processors. The need for the chips, which facilitate quicker data processing, is also being driven by the growing adoption of machine learning across a variety of industries such as healthcare, automotive, transportation, and finance to simplify their operations. Increasing smartphone usage in both developed and developing countries is anticipated to fuel market expansion throughout the forecast period.

Challenges:
The epidemic has had a negative effect on the market and will likely continue to do so in the years to come. This is linked to the affected production processes, supply chains, and emerging industries' limited adoption of AI. The lockdown requirements caused a number of industrial companies to halt their output, which negatively impacted the supply chain system globally. The manufacturing sector's production in 2020 decreased by 11.1% in July, according to data from the Index of Industrial Production (IIP), as the COVID-19 lockout slowed down the manufacturing process. The deployment of hardware and software based on AI has been delayed as a result of this pandemic.

Regional Trends:
The region with the fastest rate of growth is Asia Pacific in the anticipated time frame. The expansion of this industry is fueled by the region's developing economies, like South Korea, India, and others, which have strong startup ecosystems and an expanding pool of skilled labour. A council on AI ethics has also been established by the Singaporean government as part of the country's AI strategy, which calls for the deployment of AI applications across multiple industries in 2018. Due to the presence of a sizable number of AI solution providers, Europe is predicted to experience rapid growth.

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Recent Developments:

• In August 2020, Kneron introduced the KL 720 SoC, a cutting-edge chipset-based AI. The chipset's SoC, which uses Arm Cortex M4 as its primary control processor, can deliver 1.5 TOPS of performance.

• In February 2022, A USD 56 million Series A investment was disclosed by Celestial AI, an AI accelerator firm with a unique hardware and software architecture for machine learning chipsets. The additional funding will go towards product development and strategic supplier relationships, including those with Broadcom.

Segmentation of Artificial Intelligence Chipset Market-
By Technology

• Machine Learning
• Natural Language Processing
• Context-Aware Computing
• Computer Vision
• Predictive Analysis

By Function

• Training
• Inference

By Hardware

• Processor
• Memory
• Network

By End-User

• Healthcare
• Manufacturing
• Automotive
• Agriculture
• Retail
• Cybersecurity
• Human Resources
• Marketing
• Law
• Fintech
• Government

By Region-
North America-
• The US
• Canada
• Mexico

Europe-
• Germany
• The UK
• France
• Italy
• Spain
• Rest of Europe

Asia-Pacific-

• China
• Japan
• India
• South Korea
• Southeast Asia
• Rest of Asia Pacific

Latin America-

• Brazil
• Argentina
• Rest of Latin America

Middle East & Africa-

• GCC Countries
• South Africa
• Rest of Middle East and Africa

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