Multi-Mode Chipsets Show Great Market Potential

According to Transparency Market Research’s report titled "Multi-Mode Chipset Market", the global multi-mode chipset market was valued at around $4,509.7 Million in 2017 and is anticipated to register a stable CAGR of over 11% during the forecast period 2018 to 2026. Increasing deployment of LTE networks, rapid technological advancement in the field of cellular connectivity, and growing popularity of devices that support 5G NR with integrated gigabit LTE has increased the penetration and growth of the multi-mode chipset market globally. The market in North America is expanding at a significant CAGR of 11.9% on the backdrop of numerous technological innovations in cellular connectivity and increasing popularity of smartphones.

 

High Points

Fierce AI Week

Register today for Fierce AI Week - a free virtual event | August 10-12

Advances in AI and Machine Learning are adding an unprecedented level of intelligence to everything through capabilities such as speech processing and image & facial recognition. An essential event for design engineers and AI professionals, Engineering AI sessions during Fierce AI Week explore some of the most innovative real-world applications today, the technological advances that are accelerating adoption of AI and Machine Learning, and what the future holds for this game-changing technology.
  • Increasing Deployment of LTE networks to Drive Market Growth
  • Smartphone Segment to Dominate the Global Multi-Mode Chipset Market  
  • Growing Adoption of Multi-Mode Chipset due to Technological Advancements in Cellular Connectivity and increasing Penetration of 5G Devices in China, India, South Africa, Brazil, and Taiwan to Create More Opportunities in the Market
  • Key Players Such as Intel Corporation, Qualcomm Technologies Inc., and Samsung Group are Likely to Continue to Lead the Global Multi-Mode Chipset Market  

For info, request a sample report.

 

Transparency Market Research

Albany NY

866-552-3453

[email protected]

https://www.transparencymarketresearch.com

Read more on

Suggested Articles

Iowa State University researchers are working with NSF grant

Brain Corp. reported a sharp increase in autonomous robot usage in 2Q

Nvidia DGX accelerators helped train system from 150,000 chest X-rays with inference results in less than a second