Exclusive special offer and discount title banner vector image

GLOBAL DEEP LEARNING MARKET FORECAST 2023-2032

SCOPE OF THE REPORT

Global Deep Learning Market by Offering Type (Hardware, Software, Services) Market by Vertical (BFSI, Retail, Manufacturing, Healthcare, Automotive, Telecom & Media, Other Verticals) Market by Application (Visual Recognition, Natural Language Processing, Machine Learning, Other Applications) by Geography

REQUEST CUSTOMIZATION

MARKET OVERVIEW

In terms of revenue, the global deep learning market was valued at $xx million in 2022 and is expected to reach $xx million by 2032, growing at a CAGR of 39.67% during the forecast period 2023-2032.

Deep learning refers to the use of multiple layers of interconnected nodes (neurons) in neural networks. It is a subfield of machine learning and artificial intelligence (AI) that focuses on the development of models and algorithms inspired by the structure and function of the human brain’s neural framework. These algorithms, known as artificial neural networks, are designed to automatically learn to recognize patterns and features from vast amounts of data.

Deep Learning Market

Read our latest blog on the Deep Learning Market

GROWTH ENABLERS

Key enablers of the global deep learning market growth: 

  • Advancements in computing power and reduction in hardware costs
    • Advancements in computing power and reduced hardware costs have played a pivotal role in propelling the growth of the global deep learning market. The utilization of high-performance GPUs and specialized AI accelerators has significantly expedited model training, facilitating the rapid development of sophisticated solutions. Consequently, scalable deep learning infrastructures have emerged, capable of handling complex tasks with heightened accuracy, proving particularly beneficial to industries such as healthcare and finance.
    • Moreover, the democratization of AI has become increasingly evident, as the decreased costs of hardware enable smaller companies and developers to gain access to deep learning tools, previously reserved for larger enterprises. As a result, AI is becoming more inclusive and accessible to a broader range of individuals and organizations.
  • Emergence of open-source deep learning frameworks
  • Surging demand for AI-powered applications

GROWTH RESTRAINTS

Key growth restraining factors of the global deep learning market:

  • Need for extensive training datasets in recognition systems
  • Growing hardware complexities due to advanced algorithm utilization
  • Insufficient technical expertise and lack of standardization & protocols
    • Developing and deploying deep learning models requires specialized technical expertise, including knowledge of neural network architectures, data preprocessing, hyperparameter tuning, and optimization techniques. The complexity of deep learning algorithms can be daunting for those without a strong background in machine learning and AI, leading to a shortage of skilled professionals who can effectively work with these technologies. 
    • Also, the field of deep learning is continually evolving, and there is a lack of standardized practices, protocols, and tools. This lack of standardization can lead to compatibility issues, hinder collaboration between researchers and developers, and slow down the adoption of deep learning in certain domains.

To Know More About This Report, Request a Free Sample Copy

KEY MARKET TRENDS

Global Deep Learning Market | Top Trends

  • The increasing adoption of deep learning in the retail sector is reshaping the landscape of the global deep learning market. This trend presents a profound impact as businesses recognize the transformative potential of deep learning to enhance their operations and drive demand for advanced AI solutions. 
  • The global deep learning market is witnessing a pivotal trend as specialized processors and accelerators for deep learning applications are introduced. This hardware innovation is poised to drive AI advancements and enable more powerful deep learning solutions.

MARKET SEGMENTATION

Market Segmentation – Offering Type, Vertical, and Application –

Market by Offering Type:

  • Hardware
  • Software
  • Services
    • Services is set to be the prominent offering type during the forecast years, 2023 to 2032.
    • The services segment in the deep learning market comprises offerings provided by third-party providers to support organizations and individuals in adopting and implementing deep learning solutions. These services, offered by technology vendors, consulting firms, and specialized AI service providers, encompass data preparation, labeling, model training, deployment, monitoring, and maintenance. 
    • Notably, the services segment is experiencing rapid growth as more businesses and individuals are opting to outsource the development and deployment of deep learning models to these external providers.

Market by Vertical:

  • BFSI
  • Retail
  • Manufacturing
  • Healthcare
    • In 2022, the majority of the market share was captured by the healthcare segment under the vertical category. 
    • The healthcare segment includes the healthcare and life sciences sectors. The healthcare industry benefits from deep learning in medical image analysis, disease diagnosis, drug discovery, personalized medicine, and patient risk prediction. 
    • Deep learning models excel at identifying patterns in medical images and data, assisting healthcare professionals in making accurate diagnoses and treatment decisions.
  • Automotive
  • Telecom and Media
  • Other Verticals

Market by Application:

  • Visual Recognition
  • Natural Language Processing
  • Machine Learning
  • Other Applications

GEOGRAPHICAL STUDY

Geographical Study based on Four Major Regions:

  • North America: The United States and Canada
  • Europe: The United Kingdom, Germany, France, Italy, Spain, Nordic Countries, and Rest of Europe
  • Asia-Pacific: China, Japan, India, South Korea, Thailand, Singapore, Australia & New Zealand, and Rest of Asia-Pacific
    • The Asia-Pacific is expected to continue to be the fastest-growing region in the global deep learning market over the upcoming years. 
    • The region’s significant market growth is accredited to factors such as the increasing adoption of deep learning by businesses and individuals in the Asia-Pacific.
    • Also, governments are actively promoting the expansion of deep learning by providing research funding and implementing policies that support the development of these technologies. Such initiatives create a conducive environment for the growth of the deep learning market in the region, fostering innovation and encouraging the adoption of advanced AI solutions across various industries.
  • Rest of World: Latin America, the Middle East & Africa

MAJOR PLAYERS

Major players in the global deep learning market:

  • Amazon Web Services Inc
  • ARM Ltd
  • Clarifai Inc
  • Google Inc
  • IBM Corporation
  • Intel Corporation
  • Qualcomm Technologies Inc

Key strategies adopted by some of these companies:

  • In March 2023, Amazon Web Services Inc and NVIDIA formed a comprehensive partnership with the aim of creating the most scalable and efficient artificial intelligence (AI) infrastructure for training large language models (LLMs) and developing generative AI applications on demand.
  • In May 2023, Google LLC’s cloud division introduced innovative features in its Vertex AI platform, specifically designed to assist businesses in harnessing generative artificial intelligence within their own software.

REPORT SYNOPSIS

REPORT SCOPEDETAILS
Market Forecast Years2023-2032
Base Year2022
Market Historical Years2018-2022
Forecast UnitsRevenue ($ Million)
Segments AnalyzedOffering Type, Vertical, Application
Geographies AnalyzedNorth America, Europe, Asia-Pacific, and Rest of World
Companies Analyzed

Advanced Micro Devices Inc, Amazon Web Services Inc, Arm Ltd, Clarifai Inc, Google Inc, IBM Corporation, Intel Corporation, Mellanox Technologies, Micron Technology, Microsoft Corporation, NVIDIA Corporation, Qualcomm Technologies Inc, Samsung Electronics, Xilinx

TABLE OF CONTENT

  1. RESEARCH SCOPE & METHODOLOGY
    1. STUDY OBJECTIVES
    2. METHODOLOGY
    3. ASSUMPTIONS & LIMITATIONS
  2. EXECUTIVE SUMMARY
    1. MARKET SIZE & ESTIMATES
    2. MARKET OVERVIEW
    3. SCOPE OF STUDY
    4. CRISIS SCENARIO ANALYSIS
    5. MAJOR MARKET FINDINGS
  3. MARKET DYNAMICS
    1. KEY DRIVERS
      1. ADVANCEMENTS IN COMPUTING POWER AND REDUCTION IN HARDWARE COSTS
      2. EMERGENCE OF OPEN-SOURCE DEEP LEARNING FRAMEWORKS
      3. SURGING DEMAND FOR AI-POWERED APPLICATIONS 
    2. KEY RESTRAINTS
      1. NEED FOR EXTENSIVE TRAINING DATASETS IN RECOGNITION SYSTEMS
      2. GROWING HARDWARE COMPLEXITIES DUE TO ADVANCED ALGORITHM UTILIZATION
      3. INSUFFICIENT TECHNICAL EXPERTISE AND LACK OF STANDARDIZATION & PROTOCOLS
  4. KEY ANALYTICS
    1. KEY MARKET TRENDS
    2. PORTER’S FIVE FORCES ANALYSIS
      1. BUYERS POWER
      2. SUPPLIERS POWER
      3. SUBSTITUTION
      4. NEW ENTRANTS
      5. INDUSTRY RIVALRY
    3. GROWTH PROSPECT MAPPING
    4. MARKET MATURITY ANALYSIS
    5. MARKET CONCENTRATION ANALYSIS
  5. MARKET BY OFFERING TYPE
    1. HARDWARE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. SOFTWARE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. SERVICES
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  6. MARKET BY VERTICAL
    1. BFSI
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. RETAIL
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. MANUFACTURING
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    4. HEALTHCARE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    5. AUTOMOTIVE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    6. TELECOM & MEDIA
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    7. OTHER VERTICALS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  7. MARKET BY APPLICATION
    1. VISUAL RECOGNITION
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. NATURAL LANGUAGE PROCESSING
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. MACHINE LEARNING
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    4. OTHER APPLICATIONS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  8. GEOGRAPHICAL ANALYSIS
    1. NORTH AMERICA
      1. MARKET SIZE & ESTIMATES
      2. NORTH AMERICA DEEP LEARNING MARKET DRIVERS
      3. NORTH AMERICA DEEP LEARNING MARKET CHALLENGES
      4. KEY PLAYERS IN NORTH AMERICA DEEP LEARNING MARKET 
      5. COUNTRY ANALYSIS
        1. UNITED STATES
          1. UNITED STATES DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        2. CANADA
          1. CANADA DEEP LEARNING MARKET SIZE & OPPORTUNITIES
    2. EUROPE
      1. MARKET SIZE & ESTIMATES
      2. EUROPE DEEP LEARNING MARKET DRIVERS
      3. EUROPE DEEP LEARNING MARKET CHALLENGES
      4. KEY PLAYERS IN EUROPE DEEP LEARNING MARKET 
      5. COUNTRY ANALYSIS
        1. UNITED KINGDOM
          1. UNITED KINGDOM DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        2. GERMANY
          1. GERMANY DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        3. FRANCE
          1. FRANCE DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        4. ITALY
          1. ITALY DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        5. SPAIN
          1. SPAIN DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        6. NORDIC COUNTRIES
          1. NORDIC COUNTRIES DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        7. REST OF EUROPE
          1. REST OF EUROPE DEEP LEARNING MARKET SIZE & OPPORTUNITIES
    3. ASIA-PACIFIC
      1. MARKET SIZE & ESTIMATES
      2. ASIA-PACIFIC DEEP LEARNING MARKET DRIVERS
      3. ASIA-PACIFIC DEEP LEARNING MARKET CHALLENGES
      4. KEY PLAYERS IN ASIA-PACIFIC DEEP LEARNING MARKET 
      5. COUNTRY ANALYSIS
        1. CHINA
          1. CHINA DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        2. JAPAN
          1. JAPAN DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        3. INDIA
          1. INDIA DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        4. SOUTH KOREA
          1. SOUTH KOREA DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        5. THAILAND
          1. THAILAND DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        6. SINGAPORE
          1. SINGAPORE DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        7. AUSTRALIA & NEW ZEALAND
          1. AUSTRALIA & NEW ZEALAND DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        8. REST OF ASIA-PACIFIC
          1. REST OF ASIA-PACIFIC DEEP LEARNING MARKET SIZE & OPPORTUNITIES
    4. REST OF WORLD
      1. MARKET SIZE & ESTIMATES
      2. REST OF WORLD DEEP LEARNING MARKET DRIVERS
      3. REST OF WORLD DEEP LEARNING MARKET CHALLENGES
      4. KEY PLAYERS IN REST OF WORLD DEEP LEARNING MARKET 
      5. REGIONAL ANALYSIS
        1. LATIN AMERICA
          1. LATIN AMERICA DEEP LEARNING MARKET SIZE & OPPORTUNITIES
        2. MIDDLE EAST & AFRICA
          1. MIDDLE EAST & AFRICA DEEP LEARNING MARKET SIZE & OPPORTUNITIES
  9. COMPETITIVE LANDSCAPE
    1. KEY STRATEGIC DEVELOPMENTS
      1. PRODUCT LAUNCHES & DEVELOPMENTS
      2. PARTNERSHIPS & AGREEMENTS
    2. COMPANY PROFILES
      1. ADVANCED MICRO DEVICES INC
      2. AMAZON WEB SERVICES INC
      3. ARM LTD
      4. CLARIFAI INC
      5. GOOGLE INC
      6. IBM CORPORATION
      7. INTEL CORPORATION
      8. MELLANOX TECHNOLOGIES 
      9. MICRON TECHNOLOGY 
      10. MICROSOFT CORPORATION
      11. NVIDIA CORPORATION 
      12. QUALCOMM TECHNOLOGIES INC
      13. SAMSUNG ELECTRONICS 
      14. XILINX

LIST OF TABLES

TABLE 1: MARKET SNAPSHOT – DEEP LEARNING 

TABLE 2: GLOBAL DEEP LEARNING MARKET, BY OFFERING TYPE, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 3: GLOBAL DEEP LEARNING MARKET, BY OFFERING TYPE, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 4: GLOBAL HARDWARE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 5: GLOBAL HARDWARE MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 6: GLOBAL SOFTWARE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 7: GLOBAL SOFTWARE MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 8: GLOBAL SERVICES MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 9: GLOBAL SERVICES MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 10: GLOBAL DEEP LEARNING MARKET, BY VERTICAL, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 11: GLOBAL DEEP LEARNING MARKET, BY VERTICAL, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 12: GLOBAL BFSI MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 13: GLOBAL BFSI MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 14: GLOBAL RETAIL MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 15: GLOBAL RETAIL MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 16: GLOBAL MANUFACTURING MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 17: GLOBAL MANUFACTURING MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 18: GLOBAL HEALTHCARE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 19: GLOBAL HEALTHCARE MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 20: GLOBAL AUTOMOTIVE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 21: GLOBAL AUTOMOTIVE MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 22: GLOBAL TELECOM & MEDIA MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 23: GLOBAL TELECOM & MEDIA MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 24: GLOBAL OTHER VERTICALS MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 25: GLOBAL OTHER VERTICALS MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 26: GLOBAL DEEP LEARNING MARKET, BY APPLICATION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 27: GLOBAL DEEP LEARNING MARKET, BY APPLICATION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 28: GLOBAL VISUAL RECOGNITION MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 29: GLOBAL VISUAL RECOGNITION MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 30: GLOBAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 31: GLOBAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 32: GLOBAL MACHINE LEARNING MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 33: GLOBAL MACHINE LEARNING MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 34: GLOBAL OTHER APPLICATIONS MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 35: GLOBAL OTHER APPLICATIONS MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 36: GLOBAL DEEP LEARNING MARKET, BY GEOGRAPHY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 37: GLOBAL DEEP LEARNING MARKET, BY GEOGRAPHY, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 38: NORTH AMERICA DEEP LEARNING MARKET, BY COUNTRY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 39: NORTH AMERICA DEEP LEARNING MARKET, BY COUNTRY, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 40: KEY PLAYERS OPERATING IN NORTH AMERICA DEEP LEARNING MARKET 

TABLE 41: EUROPE DEEP LEARNING MARKET, BY COUNTRY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 42: EUROPE DEEP LEARNING MARKET, BY COUNTRY, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 43: KEY PLAYERS OPERATING IN EUROPE DEEP LEARNING MARKET 

TABLE 44: ASIA-PACIFIC DEEP LEARNING MARKET, BY COUNTRY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 45: ASIA-PACIFIC DEEP LEARNING MARKET, BY COUNTRY, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 46: KEY PLAYERS OPERATING IN ASIA-PACIFIC DEEP LEARNING MARKET 

TABLE 47: REST OF WORLD DEEP LEARNING MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 48: REST OF WORLD DEEP LEARNING MARKET, BY REGION, FORECAST YEARS, 2023-2032 (IN $ MILLION)

TABLE 49: KEY PLAYERS OPERATING IN REST OF WORLD DEEP LEARNING MARKET 

TABLE 50: LIST OF PRODUCT LAUNCHES & DEVELOPMENTS

TABLE 51: LIST OF PARTNERSHIPS & AGREEMENTS

LIST OF FIGURES 

FIGURE 1: KEY MARKET TRENDS

FIGURE 2: PORTER’S FIVE FORCES ANALYSIS

FIGURE 3: GROWTH PROSPECT MAPPING FOR UNITED STATES

FIGURE 4: GROWTH PROSPECT MAPPING FOR GERMANY AND FRANCE

FIGURE 5: GROWTH PROSPECT MAPPING FOR CHINA AND INDIA

FIGURE 6: GROWTH PROSPECT MAPPING FOR BRAZIL AND ISRAEL

FIGURE 7: MARKET MATURITY ANALYSIS

FIGURE 8: MARKET CONCENTRATION ANALYSIS

FIGURE 9: GLOBAL DEEP LEARNING MARKET, GROWTH POTENTIAL, BY OFFERING TYPE, IN 2022

FIGURE 10: GLOBAL DEEP LEARNING MARKET, BY HARDWARE, 2023-2032 (IN $ MILLION)

FIGURE 11: GLOBAL DEEP LEARNING MARKET, BY SOFTWARE, 2023-2032 (IN $ MILLION)

FIGURE 12: GLOBAL DEEP LEARNING MARKET, BY SERVICES, 2023-2032 (IN $ MILLION)

FIGURE 13: GLOBAL DEEP LEARNING MARKET, GROWTH POTENTIAL, BY VERTICAL, IN 2022

FIGURE 14: GLOBAL DEEP LEARNING MARKET, BY BFSI, 2023-2032 (IN $ MILLION)

FIGURE 15: GLOBAL DEEP LEARNING MARKET, BY RETAIL, 2023-2032 (IN $ MILLION)

FIGURE 16: GLOBAL DEEP LEARNING MARKET, BY MANUFACTURING, 2023-2032 (IN $ MILLION)

FIGURE 17: GLOBAL DEEP LEARNING MARKET, BY HEALTHCARE, 2023-2032 (IN $ MILLION)

FIGURE 18: GLOBAL DEEP LEARNING MARKET, BY AUTOMOTIVE, 2023-2032 (IN $ MILLION)

FIGURE 19: GLOBAL DEEP LEARNING MARKET, BY TELECOM & MEDIA, 2023-2032 (IN $ MILLION)

FIGURE 20: GLOBAL DEEP LEARNING MARKET, BY OTHER VERTICALS, 2023-2032 (IN $ MILLION)

FIGURE 21: GLOBAL DEEP LEARNING MARKET, GROWTH POTENTIAL, BY APPLICATION, IN 2022

FIGURE 22: GLOBAL DEEP LEARNING MARKET, BY VISUAL RECOGNITION, 2023-2032 (IN $ MILLION)

FIGURE 23: GLOBAL DEEP LEARNING MARKET, BY NATURAL LANGUAGE PROCESSING, 2023-2032 (IN $ MILLION)

FIGURE 24: GLOBAL DEEP LEARNING MARKET, BY MACHINE LEARNING, 2023-2032 (IN $ MILLION)

FIGURE 25: GLOBAL DEEP LEARNING MARKET, BY OTHER APPLICATIONS, 2023-2032 (IN $ MILLION)

FIGURE 26: NORTH AMERICA DEEP LEARNING MARKET, COUNTRY OUTLOOK, 2022 & 2032 (IN %)

FIGURE 27: UNITED STATES DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 28: CANADA DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 29: EUROPE DEEP LEARNING MARKET, COUNTRY OUTLOOK, 2022 & 2032 (IN %)

FIGURE 30: UNITED KINGDOM DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 31: GERMANY DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 32: FRANCE DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 33: ITALY DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 34: SPAIN DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 35: NORDIC COUNTRIES DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 36: REST OF EUROPE DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 37: ASIA-PACIFIC DEEP LEARNING MARKET, COUNTRY OUTLOOK, 2022 & 2032 (IN %)

FIGURE 38: CHINA DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 39: JAPAN DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 40: INDIA DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 41: SOUTH KOREA DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 42: THAILAND DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 43: SINGAPORE DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 44: AUSTRALIA & NEW ZEALAND DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 45: REST OF ASIA-PACIFIC DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 46: REST OF WORLD DEEP LEARNING MARKET, REGIONAL OUTLOOK, 2022 & 2032 (IN %)

FIGURE 47: LATIN AMERICA DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FIGURE 48: MIDDLE EAST & AFRICA DEEP LEARNING MARKET, 2023-2032 (IN $ MILLION)

FAQ’s

FAQs

Healthcare is the fastest-growing vertical in the global deep learning market.

Visual recognition, natural language processing, machine learning, and others, are among the major applications in the global deep learning market.

Request Customization
Request Customization
Request free sample