Multi-Core Processors Market Insights
The Multi-Core Processors Market value is likely to climb up pervasively. The continually growing smartphone production will drive the market growth, increasing the multi-core processor's utilization. According to Market Research Future (MRFR), the global multi-core processors market will escalate from USD 25.8 BN in 2022 to USD 79.37 BN by 2032, growing at a 13.30% CAGR throughout the forecast period (2023-2032).
Multi-core processing is used in most electronic devices, but its application in mobile phones provides huge market traction. However, the growing demand for smartphones has increased the use of multi-core processors in mobile applications. Advancements in multi-core processing technology are enabling its use for widespread applications. Also, the rapid growth in the automotive industry boosts the multi-core processors market revenues.
Growing applications of multi-core processors in several other sectors, such as consumer electronics, infrastructure, automotive navigation, and imaging systems, provide extensive impetus to the multi-core processors market growth. Major drivers of the multi-core processors market include high consumer electronics usage, growing automotive sector demand, and growing technology.
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Major Players
Leading multi-core processors market players are
- Qualcomm Technologies Inc. (US),
- Intel Corporation (US),
- Apple Inc. (US),
- Texas Instruments (US),
- MediaTek Inc. (Taiwan),
- Nvidia Corporation (US),
- ARM Holdings, PLC (UK),
- Advanced Micro Devices Inc. (US),
- Marvell (Bermuda), and
- Broadcom Corporation (US).
Multi-Core Processors Market - Segments
The market report is segmented into types, end-users, and regions. The type segment is sub-segmented into dual-core, quad-core, octa-core, and hexa-core processors. The end-user segment is sub-segmented into consumer electronics, automotive, telecommunication, healthcare, energy, and others. By region, the multi core processor market is segmented into North America, Europe, Asia-Pacific, and the rest of the world.
Multi-Core Processors Market - Regional Analysis
North America dominates the global multi-core processors market. The presence of numerous well-established vendors and the growing number of trained software development professionals for multi-core processors drive the market growth. The US is the largest, while Canada is North America's fastest-growing market for multi-core processors.
Europe is another lucrative market for multi-core processors. The rising penetration of smartphones, laptops, mobile devices, desktops, and tablets in the region substantiates the multi-core processors market revenues. Germany holds the largest, while the UK holds the second-largest multi-core processors market share in Europe.
The APAC multi-core processors market is expected to grow at the fastest CAGR. Increasing digitization, growing penetration of high-tech gadgets, and advances in automotive electronics escalate the multi-core processors market value. China is the largest, while India is the second-largest market for multi-core processors.
Global Multi-Core Processors Market - Competitive Analysis
Characterized by the presence of several well-established players, the global multi-core processors market appears highly competitive. Well-established players incorporate strategies like acquisition, collaboration, partnership, expansion, and technology launch to gain a competitive advantage. Other strategies adopted by multi-core processor vendors include greater commercialization of their products, promotion initiatives through trade exhibitions, and increased collaboration.
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Industry/ Innovation/ Related News:
Sep. 07, 2023 – Andes Technology, a leading global supplier of high-efficiency, low-power processor cores, announced the availability of the high-performance AndesCore AX45MPV multicore vector processor IP. The third generation of the AndesCore vector processor series, the AX45MPV, is equipped with powerful RISC-V vector processing and parallel execution capability. It is designed for applications with large volumes of data like ADAS, AI inference training, AR/VR, multimedia, robotics, and signal processing.
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