Artificial Intelligence Chip Market 2027 By Segment, Type, and Industry Vertical | The Insight Partners
2018 年人工智能芯片市场价值为 56.581 亿美元,预计到 2027 年将达到 832.527 亿美元;预计 2019-2027 年期间的复合年增长率为 35.0%。
随着大量数据的出现和基于云的计算能力的巨大可扩展性,人工智能在过去几年中已成为各行各业的一大趋势。在当今的数字世界中,信息是企业成功和保持可持续增长的关键。大多数行业,尤其是服务业,都严重依赖分析来为他们提供有用的业务见解,使他们在市场上保持竞争力。企业一直在不断地自动化以前以编程或手动方式进行的业务流程。随着人工智能芯片的进步和特定应用定制芯片的推出,企业现在有能力收集实时分析并将数据转化为可操作的见解。人工智能芯片市场中有许多用例,人工智能已成功应用于各个垂直领域。
使用 AI 芯片的主要人工智能应用包括机器学习 (ML)、自然语言处理 (NLP)、专家系统、自动语音识别、AI 规划和计算机视觉。
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人工智能芯片市场:
复合年增长率(2018 - 2027)35.0%- 2018 年市场规模
56.6 亿美元 - 2027 年市场规模
832.5 亿美元
市场动态
- 財政部
- 財政部
- 財政部
- 財政部
- 財政部
- 財政部
- 財政部
- 財政部
- 財政部
关键人物;主力;重要一员
- 美国超微半导体公司
- Alphabet Inc.(谷歌)
- 华为技术有限公司
- IBM 公司
- 英特尔公司
- 美光科技公司
- NVIDIA 公司
- 高通公司
- 三星电子有限公司
区域概况
- 北美
- 欧洲
- 亚太
- 南美洲和中美洲
- 中东和非洲
市场细分
- 数据中心
- 边缘
- 中央处理器
- 图形处理器
- 专用集成电路 (ASIC)
- FPGA
- 其他的
- 金融保险业协会
- 零售
- 信息技术和电信
- 汽车与运输
- 卫生保健
- 媒体与娱乐
- 其他的
- 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。
市场洞察–人工智能芯片市场
预测期内,对 AI 芯片初创企业的投资增加将推动市场发展
过去几年,人工智能及其应用(如机器学习和深度学习)发展迅猛。人工智能被广泛应用于从云计算应用到数字助理和自动驾驶/自动驾驶汽车等众多领域。随着人工智能的使用案例不断增加以及市场格局的不断变化,现有芯片的进步已成为必需。人工智能主要用于数据中心训练市场,NVIDIA 是该市场的领导者。然而,对特定应用的定制人工智能芯片以及边缘和数据中心推理的需求是人工智能芯片市场中增长最快的部分,许多新的初创公司正在涌现以挖掘这一市场
细分洞察
根据细分市场,人工智能芯片市场分为数据中心/云和边缘应用。2018年,数据中心在全球市场份额中占有最大份额。目前,人工智能芯片的主要应用是数据中心/云应用。数据中心的人工智能芯片用于训练和推理。训练是一个人工智能算法分析数据、学习,然后利用这些信息来应对现实问题的过程。在训练过程中,人工智能算法会分析大量数据。为了帮助开发人员缩短人工智能技术开发过程,芯片制造商不仅应该专注于提高处理器性能,还应该提供包括硬件、框架和其他支持工具在内的整个生态系统
类型洞察
根据类型,人工智能芯片市场分为 CPU、ASIC、GPU、FPGA 等。GPU 类型部分在 2018 年占据了全球市场份额的最大份额。目前在人工智能应用中,图形处理单元或 GPU 是最广泛使用的硬件。GPU 的高并行性和内存带宽使其成为机器和深度学习应用(尤其是在训练中)最可行的选择。GPU 最初用于加速图形渲染中执行的大量乘法和加法计算。随着对高性能图形的需求增加,对强大 GPU 的需求也在增长。
市场参与者专注于新产品的创新和开发,通过在其产品中集成先进的技术和功能来与竞争对手竞争。
- 2019 年 3 月,AMD 与 ScaleMP 建立合作伙伴关系,使 AMD 服务器 OEM 能够创建具有 4、8 和最多 128 个处理器插槽、最多 8,192 个 CPU 和 256 TB 共享内存的系统。
- 2018 年 7 月,谷歌发布了用于设备上机器学习的新型微型 AI 芯片 Edge TPU。Edge TPU 是谷歌专门打造的专用集成电路 (ASIC),旨在在边缘运行 AI。它以较小的物理和功耗提供高性能,支持在边缘部署高精度 AI。
人工智能芯片市场报告范围
报告属性 | 细节 |
---|---|
2018 年市场规模 | 56.6亿美元 |
2027 年市场规模 | 832.5亿美元 |
全球复合年增长率(2018 - 2027) | 35.0% |
历史数据 | 2016-2017 |
预测期 | 2019-2027 |
涵盖的领域 | 按细分市场
|
覆盖地区和国家 | 北美
|
市场领导者和主要公司简介 |
|
- 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。
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全球人工智能芯片市场细分如下:
人工智能芯片市场——按细分
- 数据中心
- 边缘
人工智能芯片市场——按类型
- 中央处理器
- 图形处理器
- 专用集成电路 (ASIC)
- FPGA
- 其他的
人工智能芯片市场 – 按垂直行业划分
- 金融保险业协会
- 零售
- 信息技术和电信
- 汽车与运输
- 卫生保健
- 媒体与娱乐
- 其他的
人工智能市场 – 按地区划分
北美
- 我们
- 加拿大
- 墨西哥
欧洲
- 法国
- 德国
- 意大利
- 俄罗斯
- 英国
- 欧洲其他地区
亚太地区 (APAC)
- 韩国
- 中国
- 印度
- 澳大利亚
- 日本
- 亚太其他地区
中东和非洲 (MEA)
- 沙特阿拉伯
- 阿联酋
- 南非
- MEA 其他地区
南美洲 (SAM)
- 巴西
- 阿根廷
- 南美洲其他地区 (SAM)
人工智能芯片市场——公司简介
- 美国超微半导体公司
- Google 公司
- 华为技术有限公司
- IBM
- 英特尔公司
- 美光科技有限公司
- NVIDIA 公司
- 美国高通公司
- 三星电子有限公司
- Xilinx 公司
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
The List of Companies - Artificial Intelligence Chip Market
- Advanced Micro Devices, Inc.
- Alphabet Inc. (Google)
- Huawei Technologies Co., Ltd.
- IBM Corporation
- Intel Corporation
- Micron technology, Inc.
- NVIDIA Corporation
- Qualcomm Incorporated
- Samsung electronics Co., Ltd.
- Xilinx, Inc.
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.