Rapporto sull’analisi delle dimensioni del mercato e delle quote del chip per l’apprendimento profondo | Previsioni 2031

  • Report Code : TIPRE00003229
  • Category : Electronics and Semiconductor
  • Status : Published
  • No. of Pages : 185
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Il mercato globale dei chip per il deep learning ha rappresentato 2,04 miliardi di dollari nel 2018 e si prevede che crescerà a un CAGR del 30,0% durante il periodo di previsione 2019 - 2027, per raggiungere 21,31 miliardi di dollari entro il 2027.

Il Nord America guida il mercato globale dei chip per il deep learning e si prevede che sarà il maggior contribuente in termini di entrate in tutto il mondo. periodo di previsione. Lo sviluppo di chip di deep learning è supportato da investimenti su larga scala da parte dei giganti tecnologici per sviluppare modelli da un’enorme quantità di dati generati. L'ascesa dell'informatica quantistica e l'implementazione di chip di deep learning nella robotica stanno guidando la crescita del mercato dei chip di deep learning nei paesi del Nord America.

Apprendimento profondo regionale redditizio Mercato dei chip

Approfondimenti di mercato

L'importanza del calcolo quantistico contribuisce alla crescita del mercato dei chip per il deep learning

Il calcolo quantistico richiede secondi per completare un calcolo che altrimenti richiederebbe più tempo. I computer quantistici rappresentano una trasformazione innovativa dell’intelligenza artificiale, dell’apprendimento automatico e dei big data. Pertanto, si prevede che l’importanza dell’informatica quantistica guiderà la crescita del mercato dei chip per il deep learning. Inoltre, l’informatica quantistica è vantaggiosa per vari fattori, tra cui l’ottimizzazione del portafoglio, il rilevamento delle frodi, la gestione del rischio e le aree in cui è richiesto un feedback immediato dei dati. Pertanto, è più semplice per un singolo processore eseguire calcoli complessi in pochi secondi. Inoltre, date le dimensioni e le dimensioni di Internet, il deep learning aiuta a mantenere grandi set di dati a un costo molto basso. Pertanto, si prevede che questi fattori stimoleranno la crescita del mercato globale dei chip per il deep learning.

Approfondimenti sul comportamento dei consumatori in tempo reale e maggiore efficienza operativa per promuovere la crescita complessiva del deep learning mercato dei chip

La natura del business sta diventando molto competitiva e, per competere in modo efficiente, le aziende oggigiorno fanno affidamento su informazioni utili e analisi aziendali. Tradizionalmente, gli strumenti di analisi aziendale venivano utilizzati per proiettare le vendite partendo dai dati relativi a eventi risalenti a una settimana o a un mese fa. Con l'avvento della tecnologia dell'intelligenza artificiale che apprende in tempo reale e fornisce consigli basati su modelli, le aziende hanno un'enorme opportunità di applicare il deep learning in vari processi per comprendere meglio l'ambiente aziendale e i clienti.

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Considerando questi fattori, l'intelligenza artificiale consente alle aziende di migliorare l'efficienza operativa, ridurre i costi operativi, migliorare la qualità del servizio e l'esperienza del cliente.

Informazioni sul tipo di chip< /p>

Le unità di elaborazione grafica (GPU) hanno detenuto la quota maggiore di mercato dei chip per il deep learning nel 2018, mentre si prevede che i circuiti integrati specifici per l'applicazione (ASIC) saranno il segmento in più rapida crescita durante il periodo di previsione. Ciò è dovuto al fatto che gli ASIC sono molto specifici e meno flessibili, ma rappresentano una delle opzioni hardware dalle prestazioni più elevate disponibili per le applicazioni di intelligenza artificiale.

Approfondimenti tecnologici

I chipset per il deep learning includono system-on-chip, system-in-package, moduli multi-chip e altri, e altri chipset. Il segmento system-on-chip ha detenuto la maggiore quota di mercato dei chip per il deep learning nel 2018, poiché aiuta a ridurre gli sprechi energetici, lo spazio occupato dai sistemi di grandi dimensioni e i costi.

< p>Approfondimenti sui settori verticali

Il mercato globale dei chip per il deep learning è classificato in BFSI, Vendita al dettaglio, IT e altri settori. Telecomunicazioni, settore automobilistico e Trasporti, sanità, media e Intrattenimento e altri. BFSI deteneva la quota di mercato principale nel mercato dei chip per il deep learning, mentre si prevede che l’assistenza sanitaria sarà il segmento in più rapida crescita nel mercato. Fattori come la riduzione dei costi operativi, l'adattamento alle mutevoli conformità e normative, la concentrazione sul core business e l'integrazione dell'automazione nei processi aziendali sono altri fattori importanti che stanno alimentando la crescita del segmento BFSI nel mercato dei chip per il deep learning


Mercato dei chip per deep learning nel resto dell'UE per settore verticale


Approfondimenti strategici

Gli operatori presenti nel mercato dei chip per il deep learning si concentrano principalmente sul miglioramento dei prodotti implementando tecnologie avanzate. La firma di partnership, contratti, joint venture, finanziamenti e l'inaugurazione di nuovi uffici in tutto il mondo consentono all'azienda di mantenere il proprio marchio a livello globale. Di seguito sono elencati alcuni degli sviluppi recenti;

2019: NVIDIA ha collaborato con Hackster.io per lanciare l'intelligenza artificiale all'Edge Challenge, una competizione in cui gli sviluppatori utilizzano l'intelligenza artificiale NVIDIA Jetson Nano Developer Kit per realizzare progetti creativi e unici e guadagnare la possibilità di vincere premi da $ 100.000.

2019: Intel ha annunciato i suoi piani per espandere la fabbrica dell'Oregon per produrre un chip da 7 nm. La nuova fabbrica di Intel sarà la terza fase di D1X, un'enorme fabbrica che Intel ha avviato nel 2010. Ciascuna delle prime due fasi era 1.1. Milioni di piedi quadrati, creando una struttura combinata equivalente a 15 magazzini Costco. Apparentemente la terza fase aumenterà lo spazio di produzione di D1X di circa il 50%. Inoltre, Intel afferma che l'espansione della sua fabbrica le consentirà di rispondere il 60% più velocemente alla carenza di chip.

2019: Huawei ha lanciato HiSecEngine USG12000, il primo AIFW di livello T del settore. HiSecEngine USG12000 è dotato di chip AI Ascend, che forniscono funzionalità di rilevamento intelligente e difesa intelligente dei confini per le reti aziendali.

SEGMENTAZIONE GLOBALE DEL MERCATO DEI CHIP PER IL DEEP LEARNING

Per tipo di chip

  • GPU
  • ASIC
  • FPGA
  • CPU
  • Altro

Per tecnologia

  • System-on-Chip
  • < li>System-in-Package
  • Modulo multi-chip
  • Altro

Per settore verticale< /p>

  • Media e contenuti multimediali Pubblicità
  • BFSI, IT & Telecomunicazioni
  • Retail
  • Sanità
  • Automotive e Trasporti
  • Altri

Per area geografica

  • Nord America
    • Stati Uniti
    • Canada
    • Messico
  • Europa
    • Francia
    • Germania
    • Regno Unito
    • Russia
    • Italia
    • Resto d'Europa
  • Asia Pacifico (APAC )
    • Australia
    • Cina
    • India
    • Giappone
    • Corea del Sud        
    • Resto dell'APAC
  • Medio Oriente e Stati Uniti. Africa (MEA)
    • Arabia Saudita
    • Sudafrica
    • EAU
    • Resto del MEA
  • America del Sud (SAM)
    • Brasile
    • Argentina
    • Resto della SAM

Profili aziendali

  • Advanced Micro Devices, Inc.
  • Alphabet Inc. (Google)
  • Amazon.com, Inc.
  • Baidu, Inc.
  • Huawei Technologies Co., Ltd
  • Intel Corporation
  • NVIDIA Corporation
  • Qualcomm Incorporated
  • Samsung Electronics Co., Ltd.
  • Xilinx, Inc.
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


What are reasons behind the North America deep learning chip market growth?

North America is one of the fastest-growing regions in terms of technological development. In the past 3 years, the region witnessed significant adoption of AI solutions across all the sectors. North America contributes the largest market share in terms of revenue, and it is estimated that it will continue its dominance in the market share during the forecast period. Deep learning chip development is backed by large-scale investment from technological giants to develop patterns from huge amount of generated data. The rise of quantum computing and implementation of deep learning chips in robotics drive the growth of the deep learning chip market in the North American countries.

What are market opportunities for deep learning chip?

Presently, the major applications of deep learning chips are in the data center/cloud computing segment, and this trend is expected to continue during the forecast period. Also, majorly due to rising adoption of AI in developing regions, evolving architectures of deep learning chips and increasing applications across various industry verticals. Owing to this growing trend, the companies are anticipated to produce high-quality service by adopting cloud-based artificial intelligence services.

Which industry vertical hold the major share in the deep learning chip market?

The BFSI industry dominated the deep learning chip market in the year 2018. Banking, financial services, and insurance (BFSI) industries have great potential for deep learning chips due to the presence of huge financial and personal data of customers. In this sector, a high amount of sensitive data is generated and exchanged every day. There is growing volume and creation of endpoints and mobile devices in banks, credit card companies, and credit reporting institutions, thus, it becomes important for these industry verticals to harness this data to gain insights about various business aspects.

The List of Companies - Deep Learning Chip Market 

  1. Advanced Micro Devices, Inc.
  2. Alphabet Inc. (Google)
  3. Amazon.com, Inc.
  4. Baidu, Inc.
  5. Huawei Technologies Co., Ltd
  6. Intel Corporation
  7. NVIDIA Corporation
  8. Qualcomm Incorporated
  9. Samsung Electronics Co., Ltd.
  10. Xilinx, Inc.

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. 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.

  1. 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:

Research Methodology

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.

  1. 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.

  1. 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.

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