About AI Chipset
Artificial intelligence (AI) refers to the engineering and deployment of machines to enable them to perform tasks with intelligence almost like humans. Chipset is an integrated circuit (Microchips) that may be used together to serve a single function and therefore sold as one unit. Artificial intelligence chipset is likely to gain traction with the amalgamation of various technologies such as robotics, deep learning, querying, digital personal assistance, natural language processing, and context-aware processing to develop an AI-featured product. In the near future, AI is anticipated to have a crucial impact on multiple end-use applications such as healthcare diagnostics, driverless cars, and physical assistance in elder care.
Attributes | Details |
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Study Period | 2018-2030 |
Base Year | 2023 |
Unit | Value (USD Billion) |
CAGR | 35.5% |
The AI chipset landscape presents exciting opportunities for companies that can adapt to the rapidly evolving market dynamics. Understanding the key players, their strategies, and the prevailing trends will be crucial for success in this competitive and fast-paced environment. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global AI Chipset market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.
Huawei Technologies Co. Ltd (China), Qualcomm, Inc. (United States), FinGenius Ltd. (United Kingdom), General Vision, Inc. (United States), NVIDIA Corporation (United States), Intel Corporation (United States), MediaTek Inc. (Taiwan), Samsung Electronics Co., Ltd (South Korea), Advanced Micro Devices (United States) and Apple Inc. (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Numenta, Inc. (United States), Sentient Technologies (United States), Inbenta Technologies, Inc. (United States), Cerebras Systems (United States), Microsoft Corporation (United States), Google Inc (United States) and IBM Corporation (United States).
Segmentation Overview
AMA Research has segmented the market of Global AI Chipset market by Type (Machine Learning, Natural Language Processing, Context-Aware Computing and Computer Vision), Application (Smartphones, Smart Wearable, Robotics, Automobile, Medical Imaging and Security Systems) and Region.
On the basis of geography, the market of AI Chipset has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Technology, the sub-segment i.e. Neural Networks will boost the AI Chipset market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. Hardware will boost the AI Chipset market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End User, the sub-segment i.e. Consumer Electronics will boost the AI Chipset market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
Influencing Trend:
Improving Computing Power and Declining Hardware Cost
Market Growth Drivers:
Increasingly Large and Complex Dataset Driving the Need for AI, Adoption of AI for Improving Consumer Services and Reducing Operational Costs and Growing Number of AI Applications
Challenges:
Low Return on Investment, Creating Models and Mechanisms for AI and Limited Structured training Data
Restraints:
Lack of Skilled Workforce and Absence of Standards and Protocols
Opportunities:
Increasing Focus on Developing Human-Aware AI Systems and Bringing AI to Edge Devices
Market Leaders and their expansionary development strategies
In August 2023, Nvidia and Hyundai Motor Group: Partner to develop autonomous driving technology, with Nvidia providing DRIVE Hyperion platform and Hyundai integrating it into its vehicles.
In November 2023, Amazon announces the Trainium X2, This cloud-based AI accelerator promises faster training and inference for machine learning models.
Key Target Audience
Artificial Intelligence Chipset services providers, Software Solution providers, Semiconductor services providers, Imaging Analytics vendors, Cloud Service providers, Project accounting solution providers, Value-added resellers and Research firms
About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.
Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.
The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.