Global AI Chipsets for Wireless Networks and Device- Market Overview:
The term AI chipset for wireless networks and devices" refers to a specialized processor or microchip that is designed to perform artificial intelligence tasks within wireless networks and devices. It requires a unique design, including the optimal processor, memory arrays, security, and real-time data connectivity. The AI chipset is used to improve the performance of optimizing tasks and supply capacity for larger devices. The increasing demand for faster and more efficient wireless networks has accelerated the growth of this market.
Attributes | Details |
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Study Period | 2018-2030 |
Base Year | 2023 |
Forecast Period | 2024-2030 |
Historical Period | 2018-2023 |
Unit | Value (USD Million) |
Customization Scope | Avail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility |
Influencing Trend:
There's a growing demand for AI-powered chipsets to optimize and manage the increased data traffic efficiently.
Market Growth Drivers:
The rapid advancements in AI algorithms, machine learning, and deep learning. and Growing Adoption of Edge Computing technology.
Challenges:
High development cost and Lak of Consumer awareness and acceptance of AI Chipsets for Wireless Networks and Device
Restraints:
A lack of industry-wide standards for AI chipsets can hinder their integration and interoperability across different networks and devices.
Opportunities:
Focus on Improved Network Efficiency. and Optimizing network performance, managing network slicing, and enabling the efficient use of 5G capabilities
Competitive Landscape:
Competition among existing players is due to the stiff market share occupied by leading players. The companies are implementing strategic activities such as acquisition and mergers along with collaboration with companies in other industries to help them in improving sustenance and maintaining their competitive advantages. The intense competition, changing consumer spending patterns, demographic trends, and frequent changes in consumer preferences pose significant opportunities for market growth.
Some of the key players profiled in the report are Intel Corporation (United States), Huawei Technologies Co., Ltd. (China), Qualcomm Technologies, Inc. (United States), NXP Semiconductors (Netherland), Apple Inc. (United States), STMicroelectronics (Switzerland), Nvidia Corporation (United States), Samsung (South Korea), Groq, Inc. (United States), MediaTek Inc (Taiwan), Cerebras (United States), Graphcore (United Kingdom), AIBrain Inc. (United States), Baidu, Inc. (China) and Amazon Web Services, Inc. or its affiliates (United States). Considering Market by Industrial Vertical, the sub-segment i.e. Healthcare will boost the AI Chipsets for Wireless Networks and Device- market. Considering Market by Chip Type, the sub-segment i.e. The Central Processing Unit (CPUs) will boost the AI Chipsets for Wireless Networks and Device- market. Considering Market by Device Type, the sub-segment i.e. Smartphones will boost the AI Chipsets for Wireless Networks and Device- market.
Latest Market Insights:
In December 2021 – Synaptic Incorporated acquired of DSP Group, a leading global provider of voice processing and wireless chipset solutions, The acquisition, the addition of DSP Group's ULE wireless technology and VOIP processing solutions enhances our ability to both cross-sell and deliver differentiated solutions to our combined customer base."
In February 2022, Qualcomm technology Inc has launched the snapdragon X70 5G modem RF system. Its 5th generation modem-to-antenna 5G solution. Snapdragon X70 introduces the world’s first 5G AI processor in a modem-RF system, to harness the power of AI for breakthrough 5G performance with 10 Gigabit 5G downloads, incredible upload speeds, low latency, coverage, and power efficiency. and In January 2022, Silicon Labs launched two new system-on-chips and a new software toolkit that the vendor said will bring AI and machine learning to the Edge. The chips include an AI and machine learning accelerator, wireless radio, ultra-lower-power capabilities, support for IP-based connectivity protocol Matter and Zigbee, and flash capacity.
What Can be Explored with the AI Chipsets for Wireless Networks and Device- Market Study
Gain Market Understanding
Identify Growth Opportunities
Analyze and Measure the Global AI Chipsets for Wireless Networks and Device- Market by Identifying Investment across various Industry Verticals
Understand the Trends that will drive Future Changes in AI Chipsets for Wireless Networks and Device-
Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals
Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global AI Chipsets for Wireless Networks and Device- market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in AI Chipsets for Wireless Networks and Device- market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Supplier, Manufacturer, Research organization, Government Regulatory, End-User Industry and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.