Artificial Intelligence (AI) Chipsets Market Insights, Trends, Opportunity & Forecast (Includes Business Impact of COVID-19)

AI is the most applied technology today as it enables machines to perform activities similar to those performed by human beings and helps to eliminate or minimize the risk to human life in many industry verticals. As per reports, nearly one half of all electronics will have some form of imbedded intelligence by 2024.

Artificial intelligence (AI) chipsets are specialized silicon-based chips powered with AI technologies, such as machine learning, deep learning, natural language processing, computer vision, speech recognition and neural network processing etc. These chipsets are designed such that they consume low power and offer high computing capabilities to smart devices, such as smartphones, laptops, and smart wearables and are faster than the GPU or CPU. These chipsets increase the operational performance of the device with advanced augment reality (AR), virtual reality (VR), and analytical functions and enhance the user experience.

It is broadly applied in industries including finance, education, healthcare, logistics, and transportation for application areas such as autonomous vehicles, intelligent robots, smart healthcare, smart homes, smart cities, smart finance, intelligent security, intelligent hardware, self-service store, and intelligent education.

The global artificial intelligence (chipsets) market is projected to witness growth at a tremendously growing CAGR over the next few years.

MARKET DRIVERS:

The growth of this market is attributed towards major pertaining factors including; the growing need for processing the robustly increasing large and complex datasets, the increasing focus on developing human-aware AI systems, the increasing adoption of AI for improving consumer services and reducing operational costs, the growing number of AI applications, the increasing growth of machine learning in various sectors, the increasing usage of smartphones and smart devices and the increasing investments and number of technological advancements & innovations by the market players etc.

Additionally, due to the constant evolution of AI algorithms, cloud AI chipsets which focus on AI workload are designed to support wide range of AI models, from rule-based AI to deep learning models, with various  resource requirements. As compared to edge AI chipsets, cloud AI chipsets generally have higher computational power, higher power consumption, larger physical footprint and are therefore costlier. The enhancement and upgrade in cloud AI chipsets which is expanding the cloud computing power is comprehensively boosting the overall growth of this market.

Moreover, wearables such as smartwatches and smart rings, and virtual assistants like Amazon's Alexa are becoming more and more popular owing to their efficiency in helping people carry out their day to day activities. This is fueling the demand and the growth of this market tremendously. Also, the advent multi-processor AI chipsets which learn from the environment, users, and machines to uncover hidden pattern among data, predict actionable insight, and perform actions based on specific situations is also expected to bolster growth for this market.

Furthermore, several initiatives for development of smart cities, increasing developments in the manufacturing of driverless cars, integration of AI with edge computing devices, emergence of new technologies coupled with evolving machine learning tools, the growing demand for high-speed computing processors due to rise in data complexity, the increase in implementation of AI chips in robotics, the emergence of quantum computing and rapid adoption of cloud-based services, along with the user-friendly approach of antivirus/antimalware solutions are further enhancing the demand and growth of this market.

Most importantly, the global halt due to the recent outbreak of COVID-19 has caused a decline in the adoption of AI-based software and hardware products as many SMEs and large manufacturing plants have stopped/postponed any new technology upgrade in factories to recover from the losses caused by the safety regulations and measures. However, the outbreak has impacted the educational industries rather positively, with ed-tech companies adopting AI technology to impart education during the lockdown. Ed-tech firms have deployed AI tools to enhance online learning and virtual classroom experience for students, which is increasingly enhancing the global AI Chipsets market.

However, the lack of technical expertise, skilled workforce and AI standards, the low return on investment, and the availability of only limited structured training data are factors that hinder the growth of this market.

ARTIFICIAL INTELLIGENCE (CHIPSETS) MARKET SEGMENTATION:

By Hardware:

• Processor
• Memory
• Network

By Technology:

• Machine Learning
  • Deep Learning
  • Supervised Learning
  • Reinforced Learning
  • Unsupervised Learning
  • Others
• Natural Language Processing
• Context-aware Computing
• Computer Vision
• Network Security
• Predictive Analysis
• Others

By Product:

• Graphics processing unit (GPU)
• Application Specific Integrated Circuit (ASIC)
• Central Processing Unit (CPU)
• Field-Programmable Gate Array (FPGA)
• System-on-Chip (SoC)
• System-in-Package (SIP)
• Multi-chip Module
• Others

By Function:

• Training
• Inference

By Processing Type:

• Edge
• Cloud

By Application:

• Smartphones
• Smart Wearables
• Robotics
• Automobile
• Security Systems
• Medical Imaging
• Others

By End-User Industry:

• Healthcare
• Banking
• Media & Advertising
• Manufacturing
• Automotive
• Education
• Agriculture
• Retail
• Cybersecurity
• Human Resources
• Marketing
• Law
• Fintech
• Government
• Others

By Region:

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

REGIONAL INSIGHT:

The North American region has been dominating the AI Chipsets market followed by Europe in the recent years and is also anticipated to maintain its position at the top in the next few coming years. This can be well attributed to the increasing adoption of AI (chipsets) in security applications, growth in the adoption of AI technology in various industries, the growth of AI-enabled healthcare devices, the increasing government support, the presence of majority of key players and technology giants in the region, the improving purchasing power of people, the rising investments in infrastructure and the rapid increase in technological advancements and innovations in the region etc. The major contributors in the region are The U.S. and Canada.

The Asia-Pacific region is the fastest growing regional market for AI Chipsets and is projected to register growth at a tremendous rate in the forthcoming years owing to the increasing adoption of AI across various end-user industries, the major presence of smartphone manufacturers and semiconductor industries in the emerging economies of the region, the rapidly rising population, the growing number of AI startup companies in countries like India and China and the growing governmental initiatives in the region regarding  the usage of AI and its related components etc. The major contributing nations in the region are India, Japan and China.

FEW KEY PLAYERS IN ARTIFICIAL INTELLIGENCE (CHIPSETS) MARKET:

• Qualcomm Technologies Inc.
• Huawei Technologies Co. Ltd.
• Samsung Electronics Co.Ltd
• Xilinx
• Micron
• Microsoft Corporation
• NVIDIA Corporation
• Micro Technology
• IBM Corporation
• Advanced Micro Devices (AMD)
• Google Inc.
• Intel Corporation
• Baidu
• Graphcore
• Other Players

RECENT DEVELOPMENTS:

• In September 2020, Gyrfalcon Technology announced a new white paper entitled “AI-Powered Camera Sensors: Computing at the Edge – Smart Cameras, Robotic Vehicles and End-Point Devices.” The white paper explored how an integrated edge AI Gyrfalcon co-processor chip into a camera module could produce real-time images and video streams that are superior to some of the existing high-end and expensive smartphones.
• In December 2020, reports spread about AI chipmaker; Horizon Robotics seeking to raise $700 million in a new funding round.

Timeline Considered for Analysis:

- 2019: Base Year

- 2020 to 2025: Forecast Period

Research Scope and Deliverables

Overview & Executive Summary

Market Drivers, Trends, Challenges and Opportunities

Market Size and Forecast Projections

Macroeconomic Indicators of Various Countries Impacting the Growth of the Market

Extensive Coverage of Industry Players including Recent Product Launches and Market Activities

Porter’s Five Force Analysis

Market Segmentation Analysis:

Industry report analyzes the global artificial intelligence (chipsets) market by the following segments:

• Hardware
• Technology
• Product
• Function
• Processing Type
• Application
• End-User Industry

Customization: We also offers customization’s in the industry report as per the company’s specific needs.

Key Questions Answered in the Global Artificial Intelligence (Chipsets) Industry Report

• What is the overall market size in 2019? What will be the market growth during the forecast period i.e. 2020-2025?
• Which region would have high demand for product in the upcoming years?
• What are the factors driving the growth of the market?
• Which sub-market will make the most significant contribution to the market?
• What are the market opportunities for existing and entry-level players?
• What are various long-term and short-term strategies adopted by the market players?