시장보고서
상품코드
1392606

세계의 딥러닝 시장 리포트(2024년)

Deep Learning Global Market Report 2024

발행일: | 리서치사: The Business Research Company | 페이지 정보: 영문 200 Pages | 배송안내 : 2-10일 (영업일 기준)


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목차

제1장 주요 요약

제2장 딥러닝 시장의 특징

제3장 딥러닝 시장의 동향과 전략

제4장 딥러닝 시장 - 거시경제 시나리오

  • 고인플레이션이 시장에 미치는 영향
  • 우크라이나·러시아 전쟁이 시장에 미치는 영향
  • 시장에 대한 COVID-19의 영향

제5장 세계의 딥러닝 시장 규모와 성장

  • 세계의 딥러닝 시장 촉진요인과 억제요인
    • 시장 촉진요인
    • 시장 억제요인
  • 세계의 딥러닝 시장 규모 실적과 성장, 2018-2023년
  • 세계의 딥러닝 시장 규모와 성장 예측, 2023-2028년, 2033년

제6장 딥러닝 시장 세분화

  • 세계의 딥러닝 시장, 제품별 세분화, 실적과 예측, 2018-2023년, 2023-2028년, 2033년
  • 하드웨어
  • 소프트웨어
  • 서비스
  • 세계의 딥러닝 시장, 용도별 세분화, 실적과 예측, 2018-2023년, 2023-2028년, 2033년
  • 영상 인식
  • 신호 인식
  • 데이터 마이닝
  • 세계의 딥러닝 시장, 최종사용자별 세분화, 실적과 예측, 2018-2023년, 2023-2028년, 2033년
  • BFSI
  • 자동차
  • 통신과 미디어
  • 소매
  • 제조업
  • 의료
  • 기타 최종사용자

제7장 딥러닝 시장 지역과 국가 분석

  • 세계의 딥러닝 시장, 지역별, 실적과 예측, 2018-2023년, 2023-2028년, 2033년
  • 세계의 딥러닝 시장, 국가별, 실적과 예측, 2018-2023년, 2023-2028년, 2033년

제8장 아시아태평양의 딥러닝 시장

제9장 중국의 딥러닝 시장

제10장 인도의 딥러닝 시장

제11장 일본의 딥러닝 시장

제12장 호주의 딥러닝 시장

제13장 인도네시아의 딥러닝 시장

제14장 한국의 딥러닝 시장

제15장 서유럽의 딥러닝 시장

제16장 영국의 딥러닝 시장

제17장 독일의 딥러닝 시장

제18장 프랑스의 딥러닝 시장

제19장 이탈리아의 딥러닝 시장

제20장 스페인의 딥러닝 시장

제21장 동유럽의 딥러닝 시장

제22장 러시아의 딥러닝 시장

제23장 북미의 딥러닝 시장

제24장 미국의 딥러닝 시장

제25장 캐나다의 딥러닝 시장

제26장 남미의 딥러닝 시장

제27장 브라질의 딥러닝 시장

제28장 중동의 딥러닝 시장

제29장 아프리카의 딥러닝 시장

제30장 딥러닝 시장의 경쟁 구도와 기업 개요

  • 딥러닝 시장의 경쟁 구도
  • 딥러닝 시장의 기업 개요
    • Amazon Web Services Inc.
    • Google LLC
    • IBM Corporation
    • Intel Corporation
    • Micron Technology

제31장 세계의 딥러닝 시장의 경쟁 벤치마킹

제32장 세계의 딥러닝 시장의 경쟁 대시보드

제33장 딥러닝 시장의 주요 합병과 인수

제34장 딥러닝 시장 전망과 가능성 분석

제35장 부록

KSA 24.01.03

“Deep Learning Global Market Report 2024 ” from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on deep learning market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

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  • Measure the impact of high global inflation on market growth.
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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for deep learning? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? “The deep learning market global report ” from The Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

Scope

Markets Covered:

  • 1) By Product: Hardware; Software; Services
  • 2) By Application: Image Recognition; Signal Recognition; Data Mining
  • 3) By End User: BFSI; Automotive; Telecom and Media; Retail; Manufacturing; Healthcare; Other End Users
  • Companies Mentioned: Amazon Web Services Inc.; Google LLC; IBM Corporation; Intel Corporation; Micron Technology
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Executive Summary

Deep learning refers to a system with a collection of machine learning algorithms that models high-level abstractions in data through an architecture consisting of multiple non-linear transformations, carries out engineering activities on their own, processes a huge volume of unstructured data, and offers precise results compared to traditional machine learning. Deep

The main type of products in deep learning includes hardware, software, and services. Deep learning hardware refers to devices that are used to implement architectures and learning algorithms, particularly those that take advantage of artificial neural networks. They are in the development and implementation of image recognition, signal recognition, and data mining activities. The deep learning solutions are used in industries ranging from BFSI, automotive, telecom and media, retail, manufacturing, healthcare, and other end, users.

The deep learning market research report is one of a series of new reports from The Business Research Company that provides deep learning market statistics, including deep learning industry global market size, regional shares, competitors with a deep learning market share, detailed deep learning market segments, market trends and opportunities, and any further data you may need to thrive in the deep learning industry. This deep learning market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The deep learning market size has grown exponentially in recent years. It will grow from $17. 97 billion in 2023 to $25. 15 billion in 2024 at a compound annual growth rate (CAGR) of 40. 0%. The growth in the historic period can be attributed to global investments and funding, adoption in autonomous systems, focus on explainability and interpretability, emergence of generative models, growth of edge computing. .

The deep learning market size is expected to see exponential growth in the next few years. It will grow to $100. 02 billion in 2028 at a compound annual growth rate (CAGR) of 41. 2%. The growth in the forecast period can be attributed to global economic and geopolitical factors, security and robustness improvements, hybrid and federated learning approaches, expansion into new industry verticals, increasing adoption in healthcare. . Major trends in the forecast period include augmentation of human abilities, quantum computing for deep learning, cross-industry collaborations and open source contributions, hybrid cloud and multi-cloud deployments, enhanced computer vision applications, responsible ai and ethical considerations. .

Increasing adoption of cloud-based services is significantly contributing to the growth of the deep learning market. Cloud-based services have advanced significantly, to the point that they can now provide enterprises with the ability to run their whole business through their cloud-based platforms. As a result, businesses are increasingly convinced that transferring their tasks from on-premises to cloud-based frameworks. For instance, according to a report by Harvard Business Review Analytic Services on cloud computing, over 74% of organizations believe that cloud computing gives them a competitive advantage over their competitors. Therefore, the increasing adoption of cloud-based services is expected to increase the demand for the deep learning market during the forecast period.

Growing demand for autonomous vehicles is expected to propel the growth of the deep learning market. An autonomous vehicle is a vehicle that operates or drives automatically when the autonomous technology is turned on. Deep learning algorithms, with their ability to process vast amounts of data and adapt to complex environments, are crucial in enabling self-driving cars to perceive their surroundings, recognize objects, and make split-second decisions, ultimately accelerating the development and adoption of autonomous vehicles. For instance, according to McKinsey, a US-based management consultancy firm, autonomous driving might generate $300 billion to $400 billion in income by 2035. Therefore, the growing demand for autonomous vehicles is driving the growth of the drive-by-wire market.

Increased use of edge intelligence has emerged as a popular trend in the deep learning market. Edge intelligence, also known as edge Artificial Intelligence (AI), is a blend of AI and edge computing that allows machine learning algorithms to be deployed to the edge device where data is generated. Edge intelligence could give AI to any person or organization, at any time and in any location. For instance, according to the Swiss-based AI tech company, viso. ai by 2025, 80 billion IoT devices and sensors will be online, with over 50 billion connected to the internet, and according to Cisco's Global Cloud Index by 2021, approximately 850 Zettabytes (ZB) of data will be generated annually outside the cloud, compared to only 20. 6 ZB for worldwide data center traffic.

Major companies operating in deep learning market focusing on strategic partnership. A strategic partnership is a commercial collaboration in which two or more persons or companies share resources to assist all parties to flourish. For instance, in May 2023, Weights & Biases, US-based AI developer platform, partnered with Lambda, an India-based provider of GPU cloud for deep learning. This strategic partnership will offer the infrastructure and MLOps technologies needed for AI and deep learning workloads to businesses of all sizes. The partnership between Weights & Biases and Lambda aims to accelerate deep learning and AI initiatives like computer vision and natural language processing.

In March 2022, Microsoft Corporation, a US-based multi-national technology corporation acquired Nuance for an undisclosed amount. Through this acquisition, Microsoft aims to assist healthcare providers in providing more inexpensive, effective, and accessible treatment, as well as businesses in many industries in creating more personalized and engaging customer experiences. Cloud-based AI solutions from Microsoft and Nuance are focused on assisting enterprises to achieve their business goals. Nuance Communications, Inc., is a US-based provider of deep learning solutions.

Major companies operating in the in the deep learning market report are Amazon Web Services Inc., Google LLC, IBM Corporation, Intel Corporation, Micron Technology, NVIDIA Corporation, Advanced Micro Devices Inc., Wave Computing Inc., Cerebras Systems Inc., Mythic, Sensory Inc., H2O. ai, KNIME (Konstanz Information Miner), Dataiku, Databricks Inc., Veritone Inc., DataRobot Inc., SoundHound AI, Unity Technologies, Interactions LLC, Convoy Inc., Heartflow Inc., Imandra Inc., MindsDB SF AI Learning, Neteera Technologies, Clarifai Inc., Orbital Insight, Eko India Financial Services Pvt. Ltd., CHARM Therapeutics, NoTraffic U. S. Inc.

North America was the largest region in the deep learning market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the deep learning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the deep learning market report are: Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The deep learning market includes revenues earned by entities by mimicking the human mind to perform tasks that only humans are capable of doing by using artificial intelligence and advanced robots. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified)).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Table of Contents

1. Executive Summary

2. Deep Learning Market Characteristics

3. Deep Learning Market Trends And Strategies

4. Deep Learning Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Deep Learning Market Size and Growth

  • 5.1. Global Deep Learning Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Deep Learning Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Deep Learning Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Deep Learning Market Segmentation

  • 6.1. Global Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Hardware
  • Software
  • Services
  • 6.2. Global Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Image Recognition
  • Signal Recognition
  • Data Mining
  • 6.3. Global Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • BFSI
  • Automotive
  • Telecom and Media
  • Retail
  • Manufacturing
  • Healthcare
  • Other End Users

7. Deep Learning Market Regional And Country Analysis

  • 7.1. Global Deep Learning Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Deep Learning Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Deep Learning Market

  • 8.1. Asia-Pacific Deep Learning Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8. 4. Asia-Pacific Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Deep Learning Market

  • 9.1. China Deep Learning Market Overview
  • 9.2. China Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9. 4. China Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Deep Learning Market

  • 10.1. India Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Deep Learning Market

  • 11.1. Japan Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.2. Japan Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Deep Learning Market

  • 12.1. Australia Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Deep Learning Market

  • 13.1. Indonesia Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Deep Learning Market

  • 14.1. South Korea Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.2. South Korea Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Deep Learning Market

  • 15.1. Western Europe Deep Learning Market Overview
  • 15.2. Western Europe Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15. 4. Western Europe Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Deep Learning Market

  • 16.1. UK Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Deep Learning Market

  • 17.1. Germany Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Deep Learning Market

  • 18. 5. France Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18. 6. France Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18. 7. France Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Deep Learning Market

  • 19. 9. Italy Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.10. Italy Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.11. Italy Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Deep Learning Market

  • 20.13. Spain Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.14. Spain Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.15. Spain Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Deep Learning Market

  • 21.1. Eastern Europe Deep Learning Market Overview
  • 21.2. Eastern Europe Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21. 4. Eastern Europe Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Deep Learning Market

  • 22.1. Russia Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Deep Learning Market

  • 23.1. North America Deep Learning Market Overview
  • 23.2. North America Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23. 4. North America Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Deep Learning Market

  • 24.1. USA Deep Learning Market Overview
  • 24.2. USA Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24. 4. USA Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Deep Learning Market

  • 25.1. Canada Deep Learning Market Overview
  • 25.2. Canada Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25. 4. Canada Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Deep Learning Market

  • 26.1. South America Deep Learning Market Overview
  • 26.2. South America Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26. 4. South America Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Deep Learning Market

  • 27.1. Brazil Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Deep Learning Market

  • 28.1. Middle East Deep Learning Market Overview
  • 28.2. Middle East Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28. 4. Middle East Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Deep Learning Market

  • 29.1. Africa Deep Learning Market Overview
  • 29.2. Africa Deep Learning Market, Segmentation By Product, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Deep Learning Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29. 4. Africa Deep Learning Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Deep Learning Market Competitive Landscape And Company Profiles

  • 30.1. Deep Learning Market Competitive Landscape
  • 30.2. Deep Learning Market Company Profiles
    • 30.2.1. Amazon Web Services Inc.
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1. 4. Financial Performance
    • 30.2.2. Google LLC
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2. 4. Financial Performance
    • 30.2.3. IBM Corporation
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3. 4. Financial Performance
    • 30.2. 4. Intel Corporation
      • 30.2. 4.1. Overview
      • 30.2. 4.2. Products and Services
      • 30.2. 4.3. Strategy
      • 30.2. 4. 4. Financial Performance
    • 30.2. 5. Micron Technology
      • 30.2. 5.1. Overview
      • 30.2. 5.2. Products and Services
      • 30.2. 5.3. Strategy
      • 30.2. 5. 4. Financial Performance

31. Global Deep Learning Market Competitive Benchmarking

32. Global Deep Learning Market Competitive Dashboard

33. Key Mergers And Acquisitions In The Deep Learning Market

34. Deep Learning Market Future Outlook and Potential Analysis

  • 34.1 Deep Learning Market In 2028 - Countries Offering Most New Opportunities
  • 34.2 Deep Learning Market In 2028 - Segments Offering Most New Opportunities
  • 34. 3 Deep Learning Market In 2028 - Growth Strategies
    • 34.3.1 Market Trend Based Strategies
    • 34.3.2 Competitor Strategies

35. Appendix

  • 35.1. Abbreviations
  • 35.2. Currencies
  • 35.3. Historic And Forecast Inflation Rates
  • 35. 4. Research Inquiries
  • 35. 5. The Business Research Company
  • 35. 6. Copyright And Disclaimer
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