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深度学习的全球市场预测(～2028年):解决方案，架构产业，各地区的分析
市场调查报告书
商品编码
1094388

深度学习的全球市场预测(～2028年):解决方案，架构产业，各地区的分析

Deep Learning Market Forecasts to 2028 - Global Analysis By Solution (Hardware, Software, Services), Architecture Industry (Recurrent Neural Network (RNN), Convolutional Neural Networks (CNN)) and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

全球深度学习的市场规模在2021年估算为94亿5,000万美金，在预测期间内预计将以43.7％的年复合成长率扩大，2028年之前达到1,196亿1,000万美元。

这份报告提供全球深度学习市场调查，提供市场的推动因素与阻碍因素，市场机会，COVID-19影响，各市场区隔的市场分析，竞争情形，主要企业的简介等系统性资讯。

目录

第1章 摘要整理

第2章 序文

第3章 市场趋势分析

  • 促进因素
  • 阻碍因素
  • 市场机会
  • 威胁
  • 用途分析
  • 终端用户分析
  • 新兴市场
  • COVID-19影响

第4章 波特的五力分析

第5章 全球深度学习市场:各解决方案

  • 硬体设备
    • 基于冯诺依曼架构的芯片
    • 基于神经形态架构的芯片
  • 软体
  • 服务
    • 安装服务
    • 整合服务
    • 维修与支援服务

第6章 全球深度学习市场:各架构产业

  • 循环神经网络（RNN）
  • 卷积神经网络（CNN）
  • 深度信念网络（DBN）
  • 深度堆迭网络（DSN）
  • 门控循环单元 (GRU)

第7章 全球深度学习市场:各硬体设备零件

  • 特定用途的积体电路(ASIC)
  • 中央处理器(CPU)
  • 现场可程式化闸阵列(FPGA)
  • 图形处理器(GPU)

第8章 全球深度学习市场:各用途

  • 资料探勘
    • 生物资讯学
    • 指纹辨识
    • 感情分析
    • 网路安全
    • 机器翻译
  • 影像识别
    • 机器人技术
    • 保全/影音监控
    • 机械视觉
    • 智慧运动
    • 医疗及卫星影像
  • 信号认识
    • 声波纹识别
    • 语音辨识
    • 震动监视
    • 心电图(ECG或EKG)，脑波记录(EEG)
    • 雷达/声纳
  • 与影音监控诊断

第9章 全球深度学习市场:各终端用户

  • 航太与国防
  • 农业
  • 汽车
  • 教育
  • 金融
  • 工业
  • IT和电信
  • 媒体和广告
  • 医疗
  • 石油，天然气(气体)，能源
  • 零售

第10章 全球深度学习市场:各地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中东·非洲
    • 沙乌地阿拉伯
    • 阿拉伯联合大公国
    • 卡达
    • 南非
    • 其他中东·非洲

第11章 主要发展

  • 契约，伙伴关係，合作，合资企业
  • 收购与合併
  • 新产品的销售
  • 扩张
  • 其他的重要策略

第12章 企业简介

  • Advanced Micro Devices, Inc.
  • Amazon Web Services (AWS)
  • ARM Ltd.
  • Clarifai, Inc.
  • Entilic
  • Google, IBM
  • Hewlett Packard Enterprise
  • HyperVerge
  • IBM Corporation
  • Intel Corporation
  • Micron Technology
  • Microsoft Corporation
  • NVIDIA Corporation
  • Qualcomm Technologies, Inc
  • Samsung Electronics
  • Johnson Controls
  • Larsen & Toubro Infotech
Product Code: SMRC21557

According to Stratistics MRC, the Global Deep Learning Market is accounted for $9.45 billion in 2021 and is expected to reach $119.61 billion by 2028 growing at a CAGR of 43.7% during the forecast period. Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. Deep learning is an important element of data science, which includes statistics and predictive modeling.

Market Dynamics:

Driver:

Rise in digitization & cyber attack

An increase in digitalization along with the development of the information technology (IT) industry across the globe is one of the major factors driving the growth of the market. Deep learning algorithms are proficient in inevitably intercepting available data points that improve the accuracy and efficiency of the decision-making process. The increase in the number of cyber-attacks encouraging industries to employ database management, fraud detection systems, and cyber security accelerate the market. This technology is used for processing medical images for drug discovery, and disease diagnosis delivering virtual patient assistance in the healthcare sector.

Restraint:

Shortage of expertise

In contrast to traditional data analysis, deep learning demands a totally diverse set of technical skills and expertise. There are an inadequate number of specialists to provide the required expertise in business problems and organizations that have budget constraints have to shy away from hiring the right talent to fulfil the needs. Besides, it is time-consuming for organizations to find well-trained professionals with appropriate skill sets. Thus, due to the shortage of expertise is limiting the implementation of deep learning models restricting the market growth.

Opportunity:

Rise in entry of startups

With an upsurge in funding through numerous global investors, the global market has witnessed an intrusion of start-ups in recent years. The major start-up sector that offers global deep learning is healthcare, which is focused on drug research and development. Other areas of application in deep learning are visual recognition, fraud detection, insurance, and agriculture. This gives opportunities to vendors to increase their market shares and attract customers from a wide range of industries. Thus, the rise in start-ups and deep learning applications in several industries creates ample opportunity.

Threat:

Quality of Data

The quality of data remains to be one of the biggest factors as models like deep learning need a lot of quality data. With small enough datasets, an algorithm may be taught without being inclusive. This is very much required for processes like image recognition; without accurate and adequate data, it becomes a fairly uphill task for the deep learning model to reach the next stage and ensure a greater grasp in the market. Such errors can lie undiscovered for a long time and correcting them can take much longer. Rigid business models also limit the revenue growth of the market. However, not all corporations are flexible in their business process and do not allow experimentation which limits the revenue growth of the market.

Hardware segment is expected to be the largest during the forecast period

The hardware segment dominated the market, owing to the increasing requirement for hardware platforms with high computing power to implement deep learning algorithms. The hardware segment comprises processors such as GPU, FPGA, and CPU among others, memory, and network. The rapidly evolving R&D activities for the expansion of better processing hardware for deep learning are also accelerating the market value.

The recurrent neural networks (RNN) segment is expected to have the highest CAGR during the forecast period

The recurrent neural networks (RNN) segment held the highest market share. As recurrent Neural Networks (RNN) is a powerful and vigorous type of neural network and belong to the most capable algorithms at the moment, as they are the only ones with internal memory. Due to their internal memory, RNNs can remember significant things about the input they received, which allows them to be very accurate in predicting what's coming next.

Region with highest share:

The North America is projected to hold the highest market share, owing to growing funding in artificial intelligence and neural networks and the province's widespread use of image and monitoring purposes is estimated to generate new growth prospects over the forecast period. Moreover, upsurge in investments in deep learning start-ups and a surge in popularity of deep learning technology among end-users. Additionally, the province is one of the pioneers of modern technologies, allowing firms to accelerate the adoption of deep learning ability.

Region with highest CAGR:

Asia Pacific is projected to have the highest CAGR, due to the rapid economic development of key nations such as China and India is important to encourage the growth of the Asia Pacific deep learning market. The growing penetration and development of deep learning technology are the driving forces behind the market's growth. Additionally, the spurring rise of digitization and image and voice recognition platforms is giving a boost to the growth of the market. Moreover, foreign investments in model applications of deep learning favor the growth of the regional market.

Key players in the market:

Some of the key players profiled in the Deep Learning Market include Advanced Micro Devices, Inc., Amazon Web Services (AWS), ARM Ltd., Clarifai, Inc., Entilic, Google, IBM, Hewlett Packard Enterprise, HyperVerge, IBM Corporation, Intel Corporation, Micron Technology, Microsoft Corporation, NVIDIA Corporation, Qualcomm Technologies, Inc , Samsung Electronics, Johnson Controls, Larsen & Toubro Infotech.

Key developments:

  • In January 2020: Johnson Controls announced that its retail solutions portfolio, Sensormatic Solutions and Intel Corporation, collaborated to deliver scalable, AI-powered solutions for retailers. Moving forward, the Sensormatic Solutions AI portfolio at the edge will be based on Intel platforms. Sensormatic Solutions will also leverage Intel Distribution of OpenVINO toolkit and Intel models for delivering its solutions.
  • In December 2019: Intel Corp. acquired Habana Labs Ltd., an Israel-based startup working on deep learning algorithms for data center applications strengthening the AI capability of Intel Corporation.
  • In November 2018: Amazon Web Services announced Amazon Elastic Inference, allowing users to add elastic GPU support, reducing deep learning costs by up to 75%.
  • In June 2021: Larsen & Toubro Infotech entered into a strategic collaboration agreement with Amazon Web Services. The company recently launched a dedicated cloud unit for AWS, which will focus on migration and modernization, SAP application workloads, data analytics, and the Internet of things. It will also provide advisory, professional services, and delivery capabilities.

Solutions Covered:

  • Hardware
  • Software
  • Services

Architecture Industry's Covered:

  • Recurrent Neural Network (RNN)
  • Convolutional Neural Networks (CNN)
  • Deep belief network (DBN)
  • Deep Stacking Network (DSN)
  • Gated Recurrent Unit (GRU).

Hardware Components Covered:

  • Application-Specific Integration Circuit (ASIC)
  • Central Processing Unit (CPU)
  • Field Programmable Gate Array (FPGA)
  • Graphics Processing Unit (GPU)

Applications Covered:

  • Data Mining
  • Image Recognition
  • Signal Recognition
  • Video Surveillance & Diagnostics

End Users Covered:

  • Aerospace & Defense
  • Agriculture
  • Automotive
  • Education
  • Finance
  • Industrial
  • IT & Telecom
  • Media & Advertising
  • Medical
  • Oil, Gas, & Energy
  • Retail

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2020, 2021, 2022, 2025 and 2028
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Deep Learning Market, By Solution

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Von Neumann Architecture-Based Chips
    • 5.2.2 Neuromorphic Architecture-Based Chips
  • 5.3 Software
  • 5.4 Services
    • 5.4.1 Installation Services
    • 5.4.2 Integration Services
    • 5.4.3 Maintenance & Support Services

6 Global Deep Learning Market, By Architecture Industry

  • 6.1 Introduction
  • 6.2 Recurrent Neural Network (RNN)
  • 6.3 Convolutional Neural Networks (CNN)
  • 6.4 Deep belief network (DBN)
  • 6.5 Deep Stacking Network (DSN)
  • 6.6 Gated Recurrent Unit (GRU).

7 Global Deep Learning Market, By Hardware Component

  • 7.1 Introduction
  • 7.2 Application-Specific Integration Circuit (ASIC)
  • 7.3 Central Processing Unit (CPU)
  • 7.4 Field Programmable Gate Array (FPGA)
  • 7.5 Graphics Processing Unit (GPU)

8 Global Deep Learning Market, By Application

  • 8.1 Introduction
  • 8.2 Data Mining
    • 8.2.1 Bioinformatics
    • 8.2.2 Fingerprint Identification
    • 8.2.3 Sentiment Analysis
    • 8.2.4 Cyber Security
    • 8.2.5 Machine Translation
  • 8.3 Image Recognition
    • 8.3.1 Robotics
    • 8.3.2 Security/Video Surveillance
    • 8.3.3 Machine Vision
    • 8.3.4 Smart Motion
    • 8.3.5 Medical & Satellite Imaging
  • 8.4 Signal Recognition
    • 8.4.1 Voice Identification
    • 8.4.2 Speech Recognition
    • 8.4.3 Vibration Monitoring
    • 8.4.4 Electrocardiogram (ECG or EKG), Electroencephalography (EEG)
    • 8.4.5 Radar/Sonar
  • 8.5 Video Surveillance & Diagnostics

9 Global Deep Learning Market, By End User

  • 9.1 Introduction
  • 9.2 Aerospace & Defense
  • 9.3 Agriculture
  • 9.4 Automotive
  • 9.5 Education
  • 9.6 Finance
  • 9.7 Industrial
  • 9.8 IT & Telecom
  • 9.9 Media & Advertising
  • 9.10 Medical
  • 9.11 Oil, Gas, & Energy
  • 9.12 Retail

10 Global Deep Learning Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Advanced Micro Devices, Inc.
  • 12.2 Amazon Web Services (AWS)
  • 12.3 ARM Ltd.
  • 12.4 Clarifai, Inc.
  • 12.5 Entilic
  • 12.6 Google, IBM
  • 12.7 Hewlett Packard Enterprise
  • 12.8 HyperVerge
  • 12.9 IBM Corporation
  • 12.10 Intel Corporation
  • 12.11 Micron Technology
  • 12.12 Microsoft Corporation
  • 12.13 NVIDIA Corporation
  • 12.14 Qualcomm Technologies, Inc
  • 12.15 Samsung Electronics
  • 12.16 Johnson Controls
  • 12.17 Larsen & Toubro Infotech

List of Tables

  • Table 1 Global Deep Learning Market Outlook, By Region (2020-2028) (US $MN)
  • Table 2 Global Deep Learning Market Outlook, By Solution (2020-2028) (US $MN)
  • Table 3 Global Deep Learning Market Outlook, By Hardware (2020-2028) (US $MN)
  • Table 4 Global Deep Learning Market Outlook, By Von Neumann Architecture-Based Chips (2020-2028) (US $MN)
  • Table 5 Global Deep Learning Market Outlook, By Neuromorphic Architecture-Based Chips (2020-2028) (US $MN)
  • Table 6 Global Deep Learning Market Outlook, By Software (2020-2028) (US $MN)
  • Table 7 Global Deep Learning Market Outlook, By Services (2020-2028) (US $MN)
  • Table 8 Global Deep Learning Market Outlook, By Installation Services (2020-2028) (US $MN)
  • Table 9 Global Deep Learning Market Outlook, By Integration Services (2020-2028) (US $MN)
  • Table 10 Global Deep Learning Market Outlook, By Maintenance & Support Services (2020-2028) (US $MN)
  • Table 11 Global Deep Learning Market Outlook, By Hardware Component (2020-2028) (US $MN)
  • Table 12 Global Deep Learning Market Outlook, By Application-Specific Integration Circuit (ASIC) (2020-2028) (US $MN)
  • Table 13 Global Deep Learning Market Outlook, By Central Processing Unit (CPU) (2020-2028) (US $MN)
  • Table 14 Global Deep Learning Market Outlook, By Field Programmable Gate Array (FPGA) (2020-2028) (US $MN)
  • Table 15 Global Deep Learning Market Outlook, By Graphics Processing Unit (GPU) (2020-2028) (US $MN)
  • Table 16 Global Deep Learning Market Outlook, By Architecture Industry (2020-2028) (US $MN)

Table17 Global Deep Learning Market Outlook, By Recurrent Neural Network (RNN) (2020-2028) (US $MN)

  • Table 18 Global Deep Learning Market Outlook, By Convolutional Neural Networks (CNN) (2020-2028) (US $MN)
  • Table 19 Global Deep Learning Market Outlook, By Deep belief network (DBN) (2020-2028) (US $MN)
  • Table 20 Global Deep Learning Market Outlook, By Deep Stacking Network (DSN) (2020-2028) (US $MN)
  • Table 21 Global Deep Learning Market Outlook, By Gated Recurrent Unit (GRU). (2020-2028) (US $MN)
  • Table 22 Global Deep Learning Market Outlook, By Application (2020-2028) (US $MN)
  • Table 23 Global Deep Learning Market Outlook, By Data Mining (2020-2028) (US $MN)
  • Table 24 Global Deep Learning Market Outlook, By Bioinformatics (2020-2028) (US $MN)
  • Table 25 Global Deep Learning Market Outlook, By Fingerprint Identification (2020-2028) (US $MN)
  • Table 26 Global Deep Learning Market Outlook, By Sentiment Analysis (2020-2028) (US $MN)
  • Table 27 Global Deep Learning Market Outlook, By Cyber Security (2020-2028) (US $MN)
  • Table 28 Global Deep Learning Market Outlook, By Machine Translation (2020-2028) (US $MN)
  • Table 29 Global Deep Learning Market Outlook, By Image Recognition (2020-2028) (US $MN)
  • Table 30 Global Deep Learning Market Outlook, By Robotics (2020-2028) (US $MN)
  • Table 31 Global Deep Learning Market Outlook, By Security/Video Surveillance (2020-2028) (US $MN)
  • Table 32 Global Deep Learning Market Outlook, By Machine Vision (2020-2028) (US $MN)
  • Table 33 Global Deep Learning Market Outlook, By Smart Motion (2020-2028) (US $MN)
  • Table 34 Global Deep Learning Market Outlook, By Medical & Satellite Imaging (2020-2028) (US $MN)
  • Table 35 Global Deep Learning Market Outlook, By Signal Recognition (2020-2028) (US $MN)
  • Table 36 Global Deep Learning Market Outlook, By Voice Identification (2020-2028) (US $MN)
  • Table 37 Global Deep Learning Market Outlook, By Speech Recognition (2020-2028) (US $MN)
  • Table 38 Global Deep Learning Market Outlook, By Vibration Monitoring (2020-2028) (US $MN)
  • Table 39 Global Deep Learning Market Outlook, By Electrocardiogram (ECG or EKG), Electroencephalography (EEG) (2020-2028) (US $MN)
  • Table 40 Global Deep Learning Market Outlook, By Radar/Sonar (2020-2028) (US $MN)
  • Table 41 Global Deep Learning Market Outlook, By Video Surveillance & Diagnostics (2020-2028) (US $MN)
  • Table 42 Global Deep Learning Market Outlook, By End User (2020-2028) (US $MN)
  • Table 43 Global Deep Learning Market Outlook, By Aerospace & Defense (2020-2028) (US $MN)
  • Table 44 Global Deep Learning Market Outlook, By Agriculture (2020-2028) (US $MN)
  • Table 45 Global Deep Learning Market Outlook, By Automotive (2020-2028) (US $MN)
  • Table 46 Global Deep Learning Market Outlook, By Education (2020-2028) (US $MN)
  • Table 47 Global Deep Learning Market Outlook, By Finance (2020-2028) (US $MN)
  • Table 48 Global Deep Learning Market Outlook, By Industrial (2020-2028) (US $MN)
  • Table 49 Global Deep Learning Market Outlook, By IT & Telecom (2020-2028) (US $MN)
  • Table 50 Global Deep Learning Market Outlook, By Media & Advertising (2020-2028) (US $MN)
  • Table 51 Global Deep Learning Market Outlook, By Medical (2020-2028) (US $MN)
  • Table 52 Global Deep Learning Market Outlook, By Oil, Gas, & Energy (2020-2028) (US $MN)
  • Table 53 Global Deep Learning Market Outlook, By Retail (2020-2028) (US $MN)

Note- Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.