DUBLIN, April 16, 2024 (Globe Newswire) — “Machine Learning Chips Global Market Report 2024” has been added. ResearchAndMarkets.com Recruitment.
The machine learning chip market size grew from $8 billion in 2023 to $11.6 billion in 2024, at a compound annual growth rate of 45%. Growth during this historic period can be attributed to increased data volumes, expansion of cloud computing, growth in consumer applications, diversification of chip types, and government initiatives.
The machine learning chip market size is expected to grow rapidly in the coming years and reach $53.17 billion by 2028 at a compound annual growth rate (CAGR) of 46.33%. The projected growth during the forecast period can be attributed to the increasing demand for real-time analytics, expansion of the Internet of Things (IoT), growth in edge AI, increasing focus on security, and increasing adoption of AI and its adoption. Masu. ML for various industries for analysis purposes. Key trends expected during this period include advances in AI and ML algorithms, developments in advanced robotics, integration with neuromorphic computing, advances in materials science for AI applications, and increases in computational power. Includes advances in quantum computing for enhancements.

Rise in cyber-attacks is expected to drive the growth of the machine learning chip market in the future. Cyber-attacks involve the intentional exploitation of computer systems, networks, or businesses that rely on technology to cause damage, disruption, or gain unauthorized access. Machine learning chips allow you to continuously analyze data using machine learning algorithms to detect patterns and make accurate predictions to mitigate potential cyber threats. For example, SlashNext Inc., a US-based cybersecurity company, reported a 61% increase in phishing attacks in 2022 compared to 2021, with a total of 255 million incidents detected. Therefore, the increasing threat of cyber attacks is driving the expansion of the machine learning chip market.
Leading companies in the machine learning chip market are concentrating on developing new products, especially system-on-chip (SoC) solutions, to increase profitability. His SoC, a machine learning chip, refers to an integrated circuit that combines hardware components such as a processor and memory with software specialized for machine learning tasks on a single chip. For example, Silicon Laboratories, a US-based semiconductor manufacturing company, launched two of its SoCs and a software toolkit tailored for edge AI and machine learning in January 2022. These chips feature AI accelerators, wireless connectivity, low power consumption, support for Matter and Zigbee protocols, and ample flash capacity. This toolkit helps developers create AI algorithms using these SoCs and Simplicity Studio.
The main types of machine learning chips include graphics processing units (GPUs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), and central processing units (CPUs). A GPU is a circuit that specializes in high-speed memory operations to speed up image processing. These chips use a variety of technologies such as system-on-chip (SoC), system-in-package, and multi-chip modules for industries such as banking, financial services, and insurance (BFSI), information technology, and telecommunications. doing. media and advertising, retail, healthcare, automotive, and more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdown, competitive landscape, market share, trends and strategies for this market. It tracks market history and projected market growth by geography.
Report scope
Target market:
- By chip type: Graphics processing units (GPUs); Application-specific integrated circuits (ASICs). Field programmable gate array (FPGA). Central processing unit (CPU); other chip types.
- By technology: System-on-chip (SoC). System in package.Multi-chip module; other technologies
- Industry: Banking, Financial Services and Insurance (BFSI). Information technology and telecommunications. media and advertising. Retail; Healthcare; Automotive; Other industries.
Country: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; United Kingdom; United States; Canada; Italy; Spain
region: Asia Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: 5 year history and 10 year forecast.
data: Market size and related market growth rate, GDP ratio, and per capita expenditure.
Segment your data: Historical and forecast data, competitor market shares, market segments for countries and regions.
Key attributes:
| report attributes | detail |
| number of pages | 175 |
| Forecast period | 2024 – 2028 |
| Estimated market value in 2024 (USD) | $11.6 billion |
| Projected market value to 2028 (USD) | $53.17 billion |
| compound annual growth rate | 46.3% |
| Target area | global |
Companies featured:
- Amazon
- apple
- alphabet
- samsung group
- Huawei Technologies Co., Ltd.
- Intel Corporation
- IBM Co., Ltd.
- Qualcomm Corporation
- Micron Technology Co., Ltd.
- NVIDIA Corporation
- Advanced Micro Devices
- NXP Semiconductors
- Renesas Electronics
- microchip technology
- Cadence Design Systems Inc.
- Silicon Laboratories Co., Ltd.
- Edge Core Networks Co., Ltd.
- Lattice Semiconductor Co., Ltd.
- Cerebras Systems Co., Ltd.
- Cambricon Technologies Corporation
- C-Five Co., Ltd.
- green wave technologies
- Graphcore Limited
- Inovium Co., Ltd.
- Syntiant Corporation
For more information on this report, please visit https://www.researchandmarkets.com/r/4ah3r3.
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Global machine learning chip market
