预计机器学习芯片市场在 2024 年至 2031 年期间的复合年增长率为 36.2%,市场规模将从 2024 年的 XX 百万美元扩大到 2031 年的 XX 百万美元。
报告按芯片类型(ASIC、GPU、FPGA、CPU、其他)、行业(BFSI、媒体和广告、零售、IT 和电信、医疗保健、汽车和运输、其他)细分。全球分析进一步细分为区域和主要国家。报告以美元为单位提供上述分析和细分的价值
报告目的
Insight Partners 发布的《机器学习芯片市场》报告旨在描述当前形势和未来增长、主要驱动因素、挑战和机遇。这将为各种商业利益相关者提供见解,例如:
- 技术提供商/制造商:了解不断变化的市场动态并了解潜在的增长机会,从而能够做出明智的战略决策。
- 投资者:对市场增长率、市场财务预测以及整个价值链中存在的机会进行全面的趋势分析。
- 监管机构:监管市场政策和警察活动,旨在最大限度地减少滥用行为,维护投资者的信任和信心,维护市场的完整性和稳定性。
机器学习芯片市场细分
芯片类型
- 专用集成电路 (ASIC)
- 图形处理器
- FPGA
- 中央处理器
- 其他的
行业
- 金融保险业协会
- 媒体和广告
- 零售
- 信息技术和电信
- 卫生保健
- 汽车和运输
- 其他的
定制此报告以满足您的需求
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- 获取此报告的关键市场趋势。这个免费样品将包括数据分析,从市场趋势到估计和预测。
机器学习芯片市场增长动力
- 人工智能和机器学习应用的爆炸式增长:人工智能 (AI) 和机器学习 (ML) 应用在各个行业的快速扩张是机器学习芯片市场的重要驱动力。这些应用包括语音助手和面部识别、自动驾驶汽车和机器人等,需要专门的硬件来高效处理大量数据。随着人工智能在医疗保健、金融和制造业等各个领域变得越来越不可或缺,对能够高速、高精度地执行复杂算法的机器学习芯片的需求正在激增,从而推动市场增长。
- 需要增强计算能力和效率:传统处理器(如 CPU)越来越难以满足机器学习算法的计算需求,因为机器学习算法通常需要并行处理和海量数据吞吐量。机器学习芯片(包括 GPU、TPU 和 FPGA)专为应对这些挑战而设计。它们提供高性能计算能力,针对并行处理和能效进行了优化,可以更快地训练机器学习模型,并缩短从大型数据集中获取有意义见解的时间,从而推动各行各业的采用。
- 边缘计算和物联网设备的激增:随着边缘计算和物联网 (IoT) 设备的兴起,对能够直接在边缘执行实时处理的机器学习芯片的需求日益增长,而不是依赖于集中式云系统。智能手机、可穿戴设备、自动驾驶汽车和智能摄像头等边缘设备需要低延迟、高效率的 ML 芯片来本地处理数据。随着行业要求更快、更可靠的决策并减少对云基础设施的依赖,这一趋势正在加速,为边缘设备中的机器学习芯片创造了强劲的增长机会
机器学习芯片市场未来趋势
- 专用 AI/ML 处理器的开发:机器学习芯片市场的一个主要趋势是专门为 AI 和 ML 工作负载设计的专用处理器的开发日益增多。NVIDIA、Google 和 Intel 等公司正在推进专用集成电路 (ASIC) 和张量处理单元 (TPU) 的设计,这些处理器可以比通用处理器更有效地加速机器学习过程。这些定制芯片针对特定的 AI 应用进行了优化,例如图像识别、语言处理和预测分析,并且对于 AI 系统中的高性能计算至关重要。
- 机器学习芯片在消费电子产品中的集成:机器学习芯片正在成为智能手机、智能扬声器、笔记本电脑甚至家用电器等消费电子产品中不可或缺的组件。这些设备利用 ML 芯片为语音助手、面部识别和个性化推荐等应用提供支持。随着消费者对更智能、更直观的产品的需求,日常设备对机器学习芯片的需求不断上升,推动了将人工智能功能集成到消费电子产品中的趋势。这一趋势有助于将机器学习芯片市场从传统的工业应用扩展到面向消费者的技术。
- 专注于节能的机器学习芯片:随着机器学习模型的复杂性不断增加,人们越来越关注开发节能芯片来处理 AI 工作负载。随着训练深度学习模型的计算量越来越大,与这些任务相关的能耗急剧上升,导致运营成本上升。为了解决这个问题,芯片制造商强调 AI 处理器的节能设计,例如使用低功耗 FPGA 和先进的冷却技术。这种趋势不仅可以降低能源成本,还可以支持依赖大规模机器学习部署的公司的可持续发展目标。
机器学习芯片市场机会
- 基于云的 AI 服务的增长:云计算的快速增长和 AI 即服务模式的采用为机器学习芯片带来了巨大的机遇。包括 Amazon Web Services (AWS)、Microsoft Azure 和 Google Cloud 在内的云提供商正在大力投资机器学习基础设施,以大规模提供 AI 解决方案。这种向基于云的 AI 服务的转变增加了对专用芯片(如 TPU 和 GPU)的需求,以加速数据中心 AI 任务的处理。随着越来越多的公司转向云端来访问 AI 功能,对先进机器学习芯片的需求将大幅增长。
- 自动驾驶汽车中人工智能的扩展:自动驾驶汽车 (AV) 是推动机器学习芯片需求的最有前景的领域之一。自动驾驶汽车在实时决策、导航、物体检测和安全系统方面严重依赖机器学习。能够处理来自摄像头、激光雷达和雷达的传感器数据的机器学习芯片对于自动驾驶技术的发展至关重要。随着自动驾驶汽车市场在全球范围内不断扩张,机器学习芯片制造商有很大机会提供这些先进系统所需的高性能、低延迟芯片。
- 人工智能在医疗保健和诊断中的应用:人工智能和机器学习在医疗保健中的整合,特别是在诊断和个性化医疗中,为机器学习芯片市场提供了重大机遇。使用机器学习分析医学图像、遗传数据和患者记录的医疗设备和系统需要能够快速准确地处理大量复杂数据的专用芯片。随着全球医疗保健系统采用人工智能来改善患者治疗效果、降低成本和增强决策能力,该领域对机器学习芯片的需求将飙升,为芯片制造商创造巨大的增长潜力
机器学习芯片市场区域洞察
Insight Partners 的分析师详细解释了预测期内影响机器学习芯片市场的区域趋势和因素。本节还讨论了北美、欧洲、亚太地区、中东和非洲以及南美和中美洲的机器学习芯片市场细分和地理位置。
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- 获取机器学习芯片市场的区域特定数据
机器学习芯片市场报告范围
报告属性 | 细节 |
---|---|
2024 年的市场规模 | XX 百万美元 |
2031 年市场规模 | XX 百万美元 |
全球复合年增长率(2024 - 2031) | 36.2% |
史料 | 2021-2023 |
预测期 | 2025-2031 |
涵盖的领域 | 按芯片类型
|
覆盖地区和国家 | 北美
|
市场领导者和主要公司简介 |
|
机器学习芯片市场参与者密度:了解其对业务动态的影响
机器学习芯片市场正在快速增长,这得益于终端用户需求的不断增长,而这些需求又源于消费者偏好的不断变化、技术进步以及对产品优势的认识不断提高等因素。随着需求的增加,企业正在扩大其产品范围,进行创新以满足消费者的需求,并利用新兴趋势,从而进一步推动市场增长。
市场参与者密度是指在特定市场或行业内运营的企业或公司的分布情况。它表明相对于给定市场空间的规模或总市场价值,有多少竞争对手(市场参与者)存在于该市场空间中。
在机器学习芯片市场运营的主要公司有:
- 美国超微半导体公司
- Alphabet 公司
- 亚马逊网络服务公司
- 比特大陆科技控股公司
- 大脑系统
免责声明:上面列出的公司没有按照任何特定顺序排列。
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- 了解机器学习芯片市场顶级关键参与者概况
主要卖点
- 全面覆盖:报告全面涵盖了机器学习芯片市场的产品、服务、类型和最终用户的分析,提供了整体概况。
- 专家分析:报告基于对行业专家和分析师的深入了解而编写。
- 最新信息:该报告涵盖了最新信息和数据趋势,确保了其与业务的相关性。
- 定制选项:此报告可以定制以满足特定客户要求并恰当地适应业务策略。
因此,机器学习芯片市场研究报告有助于引领解码和了解行业情景和增长前景。尽管可能存在一些合理的担忧,但本报告的总体优势往往大于劣势。
- 历史分析(2 年)、基准年、预测(7 年)及复合年增长率
- PEST 和 SWOT 分析
- 市场规模价值/数量 - 全球、区域、国家
- 行业和竞争格局
- Excel 数据集
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Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
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Segment Covered
This text is related
to segments covered.
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Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
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Country Scope
This text is related
to country scope.
常见问题
The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request
Some of the customization options available based on the request are an additional 3-5 company profiles and country-specific analysis of 3-5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation# as our team would review the same and check the feasibility
The Machine Learning Chip Market is estimated to witness a CAGR of 36.2% from 2023 to 2041
Rise of Digitalization, Expansion of the IT Industry, Demand for Smart Devices
Emphasis on Interpretability in AI Models
Trends and growth analysis reports related to Electronics and Semiconductor : READ MORE..
The List of Companies
1. Advanced Micro Devices Inc.
2. Alphabet Inc.
3. Amazon Web Services, Inc.
4. Bitmain Technology Holding Company
5. Cerebras Systems
6. Intel Corporation
7. Nvidia Corporation
8. Qualcomm Technologies, Inc.
9. Samsung Electronics
10. Xilinx
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.