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Deep Learning for Cognitive Computing - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030
Published Date: September 2024
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Report Code: QYRE-Auto-34Y12915
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Global Deep Learning for Cognitive Computing Market Research Report 2023
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Deep Learning for Cognitive Computing - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Code: QYRE-Auto-34Y12915
Report
September 2024
Pages:130
QYResearch
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES

Deep Learning for Cognitive Computing - Market Size

The global market for Deep Learning for Cognitive Computing was estimated to be worth US$ 32680 million in 2023 and is forecast to a readjusted size of US$ 69530 million by 2030 with a CAGR of 11.6% during the forecast period 2024-2030

Deep Learning for Cognitive Computing - Market

Deep Learning for Cognitive Computing - Market

Deep learning enables the system to be self-training to learn how to perform specific tasks. And AI itself is part of a larger area called cognitive computing. In ML, pruning means simplifying, compressing, and optimizing a decision tree by removing sections that are uncritical or redundant.
The global deep learning for cognitive computing market refers to the market for deep learning technologies and solutions that are specifically applied in cognitive computing systems. Cognitive computing involves the development of systems that can mimic human intelligence, understand and interpret natural language, recognize patterns, make decisions, and learn from data.
Deep learning is a subset of machine learning that utilizes artificial neural networks with multiple layers to process and analyze large amounts of data. It allows cognitive computing systems to understand complex patterns, extract meaningful insights, and make accurate predictions or decisions.
The market for deep learning in cognitive computing is driven by several factors, including:
Advancements in AI and Machine Learning: The rapid advancements in AI and machine learning technologies have enabled the development of more sophisticated deep learning algorithms. These algorithms can process vast amounts of structured and unstructured data, leading to significant advancements in cognitive computing capabilities.
Big Data and IoT: The proliferation of big data and the ever-increasing number of connected devices through the Internet of Things (IoT) generate vast amounts of data. Deep learning provides the tools to analyze and extract valuable insights from this data, enabling more effective cognitive computing applications.
Natural Language Processing (NLP): Deep learning techniques, such as recurrent neural networks (RNNs) and long short-term memory (LSTM), have revolutionized natural language processing. This has led to significant progress in the development of conversational AI systems, chatbots, and virtual assistants that can understand and respond to human language.
Healthcare and Life Sciences: The healthcare and life sciences sector has witnessed substantial growth in the adoption of deep learning for cognitive computing applications. Deep learning algorithms can analyze medical images, genomics data, patient records, and clinical trials data to improve disease diagnosis, drug discovery, personalized medicine, and patient care.
Financial Services: Deep learning has also found extensive use in the financial services industry. It enables advanced fraud detection, algorithmic trading, risk assessment, credit scoring, and customer behavior analysis, improving operational efficiency and reducing financial risks.
Automotive and Manufacturing: The automotive and manufacturing sectors utilize deep learning in cognitive computing applications for autonomous vehicles, predictive maintenance, quality control, supply chain optimization, and robotics, among others. Deep learning enables these industries to leverage AI technologies for more efficient and intelligent operations.
North America has been a significant contributor to the global deep learning for cognitive computing market, primarily driven by extensive research and development activities, the presence of leading technology companies, and early adoption of AI technologies. However, the market is witnessing growth in other regions as well, including Europe, Asia Pacific, and Latin America, as organizations across various industries realize the potential benefits of deep learning in cognitive computing.
The market is highly competitive, with major technology companies, startups, and research institutions actively engaged in developing and commercializing deep learning solutions for cognitive computing. The key players in the market offer a wide range of deep learning frameworks, platforms, and tools to support cognitive computing applications.
In summary, the global deep learning for cognitive computing market is experiencing significant growth, fueled by advancements in AI and machine learning, the proliferation of big data and IoT, and the increasing adoption of deep learning in various industries. As organizations seek to harness the power of cognitive computing to gain insights from data and improve decision-making processes, the market for deep learning in cognitive computing is expected to expand further in the coming years.The global deep learning for cognitive computing market refers to the market for deep learning technologies and solutions that are specifically applied in cognitive computing systems. Cognitive computing involves the development of systems that can mimic human intelligence, understand and interpret natural language, recognize patterns, make decisions, and learn from data.
Deep learning is a subset of machine learning that utilizes artificial neural networks with multiple layers to process and analyze large amounts of data. It allows cognitive computing systems to understand complex patterns, extract meaningful insights, and make accurate predictions or decisions.
The market for deep learning in cognitive computing is driven by several factors, including:
Advancements in AI and Machine Learning: The rapid advancements in AI and machine learning technologies have enabled the development of more sophisticated deep learning algorithms. These algorithms can process vast amounts of structured and unstructured data, leading to significant advancements in cognitive computing capabilities.
Big Data and IoT: The proliferation of big data and the ever-increasing number of connected devices through the Internet of Things (IoT) generate vast amounts of data. Deep learning provides the tools to analyze and extract valuable insights from this data, enabling more effective cognitive computing applications.
Natural Language Processing (NLP): Deep learning techniques, such as recurrent neural networks (RNNs) and long short-term memory (LSTM), have revolutionized natural language processing. This has led to significant progress in the development of conversational AI systems, chatbots, and virtual assistants that can understand and respond to human language.
Healthcare and Life Sciences: The healthcare and life sciences sector has witnessed substantial growth in the adoption of deep learning for cognitive computing applications. Deep learning algorithms can analyze medical images, genomics data, patient records, and clinical trials data to improve disease diagnosis, drug discovery, personalized medicine, and patient care.
Financial Services: Deep learning has also found extensive use in the financial services industry. It enables advanced fraud detection, algorithmic trading, risk assessment, credit scoring, and customer behavior analysis, improving operational efficiency and reducing financial risks.
Automotive and Manufacturing: The automotive and manufacturing sectors utilize deep learning in cognitive computing applications for autonomous vehicles, predictive maintenance, quality control, supply chain optimization, and robotics, among others. Deep learning enables these industries to leverage AI technologies for more efficient and intelligent operations.
North America has been a significant contributor to the global deep learning for cognitive computing market, primarily driven by extensive research and development activities, the presence of leading technology companies, and early adoption of AI technologies. However, the market is witnessing growth in other regions as well, including Europe, Asia Pacific, and Latin America, as organizations across various industries realize the potential benefits of deep learning in cognitive computing.
The market is highly competitive, with major technology companies, startups, and research institutions actively engaged in developing and commercializing deep learning solutions for cognitive computing. The key players in the market offer a wide range of deep learning frameworks, platforms, and tools to support cognitive computing applications.
In summary, the global deep learning for cognitive computing market is experiencing significant growth, fueled by advancements in AI and machine learning, the proliferation of big data and IoT, and the increasing adoption of deep learning in various industries. As organizations seek to harness the power of cognitive computing to gain insights from data and improve decision-making processes, the market for deep learning in cognitive computing is expected to expand further in the coming years.

Report Scope

This report aims to provide a comprehensive presentation of the global market for Deep Learning for Cognitive Computing, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Deep Learning for Cognitive Computing by region & country, by Type, and by Application.
The Deep Learning for Cognitive Computing market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Deep Learning for Cognitive Computing.
Market Segmentation

Scope of Deep Learning for Cognitive Computing - Market Report

Report Metric Details
Report Name Deep Learning for Cognitive Computing - Market
Forecasted market size in 2030 US$ 69530 million
CAGR 11.6%
Forecasted years 2024 - 2030
Segment by Type:
  • Platform
  • Services
Segment by Application
  • Intelligent Automation
  • Intelligent Virtual Assistants and Chatbots
  • Behavior Analysis
  • Biometrics
By Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • Asia-Pacific (China, Japan, South Korea)
  • Southeast Asia (India, Australia)
  • Rest of Asia
  • Latin America (Mexico, Brazil)
  • Rest of Latin America
  • Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
By Company Microsoft, IBM, SAS Institute, Amazon Web Services, CognitiveScale, Numenta, Expert .AI, Cisco, Google LLC, Tata Consultancy Services, Infosys Limited, BurstIQ Inc, Red Skios, e-Zest Solutions, Vantage Labs, Cognitive Software Group, SparkCognition
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

  • Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
  • Chapter 2: Detailed analysis of Deep Learning for Cognitive Computing manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
  • Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
  • Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
  • Chapter 5: Revenue of Deep Learning for Cognitive Computing in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
  • Chapter 6: Revenue of Deep Learning for Cognitive Computing in country level. It provides sigmate data by Type, and by Application for each country/region.
  • Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
  • Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
  • Chapter 9: Conclusion.

FAQ for this report

What is the Deep Learning for Cognitive Computing - Market size in 2030?

Ans: The Deep Learning for Cognitive Computing - Market size in 2030 will be US$ 69530 million.

Who are the main players in the Deep Learning for Cognitive Computing - Market report?

Ans: The main players in the Deep Learning for Cognitive Computing - Market are Microsoft, IBM, SAS Institute, Amazon Web Services, CognitiveScale, Numenta, Expert .AI, Cisco, Google LLC, Tata Consultancy Services, Infosys Limited, BurstIQ Inc, Red Skios, e-Zest Solutions, Vantage Labs, Cognitive Software Group, SparkCognition

What are the Application segmentation covered in the Deep Learning for Cognitive Computing - Market report?

Ans: The Applications covered in the Deep Learning for Cognitive Computing - Market report are Intelligent Automation, Intelligent Virtual Assistants and Chatbots, Behavior Analysis, Biometrics

What are the Type segmentation covered in the Deep Learning for Cognitive Computing - Market report?

Ans: The Types covered in the Deep Learning for Cognitive Computing - Market report are Platform, Services

1 Market Overview
1.1 Deep Learning for Cognitive Computing Product Introduction
1.2 Global Deep Learning for Cognitive Computing Market Size Forecast
1.3 Deep Learning for Cognitive Computing Market Trends & Drivers
1.3.1 Deep Learning for Cognitive Computing Industry Trends
1.3.2 Deep Learning for Cognitive Computing Market Drivers & Opportunity
1.3.3 Deep Learning for Cognitive Computing Market Challenges
1.3.4 Deep Learning for Cognitive Computing Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Deep Learning for Cognitive Computing Players Revenue Ranking (2023)
2.2 Global Deep Learning for Cognitive Computing Revenue by Company (2019-2024)
2.3 Key Companies Deep Learning for Cognitive Computing Manufacturing Base Distribution and Headquarters
2.4 Key Companies Deep Learning for Cognitive Computing Product Offered
2.5 Key Companies Time to Begin Mass Production of Deep Learning for Cognitive Computing
2.6 Deep Learning for Cognitive Computing Market Competitive Analysis
2.6.1 Deep Learning for Cognitive Computing Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Deep Learning for Cognitive Computing Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Deep Learning for Cognitive Computing as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Platform
3.1.2 Services
3.2 Global Deep Learning for Cognitive Computing Sales Value by Type
3.2.1 Global Deep Learning for Cognitive Computing Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Deep Learning for Cognitive Computing Sales Value, by Type (2019-2030)
3.2.3 Global Deep Learning for Cognitive Computing Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Intelligent Automation
4.1.2 Intelligent Virtual Assistants and Chatbots
4.1.3 Behavior Analysis
4.1.4 Biometrics
4.2 Global Deep Learning for Cognitive Computing Sales Value by Application
4.2.1 Global Deep Learning for Cognitive Computing Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Deep Learning for Cognitive Computing Sales Value, by Application (2019-2030)
4.2.3 Global Deep Learning for Cognitive Computing Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Deep Learning for Cognitive Computing Sales Value by Region
5.1.1 Global Deep Learning for Cognitive Computing Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Deep Learning for Cognitive Computing Sales Value by Region (2019-2024)
5.1.3 Global Deep Learning for Cognitive Computing Sales Value by Region (2025-2030)
5.1.4 Global Deep Learning for Cognitive Computing Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Deep Learning for Cognitive Computing Sales Value, 2019-2030
5.2.2 North America Deep Learning for Cognitive Computing Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Deep Learning for Cognitive Computing Sales Value, 2019-2030
5.3.2 Europe Deep Learning for Cognitive Computing Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Deep Learning for Cognitive Computing Sales Value, 2019-2030
5.4.2 Asia Pacific Deep Learning for Cognitive Computing Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Deep Learning for Cognitive Computing Sales Value, 2019-2030
5.5.2 South America Deep Learning for Cognitive Computing Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Deep Learning for Cognitive Computing Sales Value, 2019-2030
5.6.2 Middle East & Africa Deep Learning for Cognitive Computing Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Deep Learning for Cognitive Computing Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Deep Learning for Cognitive Computing Sales Value
6.3 United States
6.3.1 United States Deep Learning for Cognitive Computing Sales Value, 2019-2030
6.3.2 United States Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Deep Learning for Cognitive Computing Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Deep Learning for Cognitive Computing Sales Value, 2019-2030
6.4.2 Europe Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Deep Learning for Cognitive Computing Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Deep Learning for Cognitive Computing Sales Value, 2019-2030
6.5.2 China Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
6.5.3 China Deep Learning for Cognitive Computing Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Deep Learning for Cognitive Computing Sales Value, 2019-2030
6.6.2 Japan Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Deep Learning for Cognitive Computing Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Deep Learning for Cognitive Computing Sales Value, 2019-2030
6.7.2 South Korea Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Deep Learning for Cognitive Computing Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Deep Learning for Cognitive Computing Sales Value, 2019-2030
6.8.2 Southeast Asia Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Deep Learning for Cognitive Computing Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Deep Learning for Cognitive Computing Sales Value, 2019-2030
6.9.2 India Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
6.9.3 India Deep Learning for Cognitive Computing Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Microsoft
7.1.1 Microsoft Profile
7.1.2 Microsoft Main Business
7.1.3 Microsoft Deep Learning for Cognitive Computing Products, Services and Solutions
7.1.4 Microsoft Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.1.5 Microsoft Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM Deep Learning for Cognitive Computing Products, Services and Solutions
7.2.4 IBM Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.2.5 IBM Recent Developments
7.3 SAS Institute
7.3.1 SAS Institute Profile
7.3.2 SAS Institute Main Business
7.3.3 SAS Institute Deep Learning for Cognitive Computing Products, Services and Solutions
7.3.4 SAS Institute Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.3.5 Amazon Web Services Recent Developments
7.4 Amazon Web Services
7.4.1 Amazon Web Services Profile
7.4.2 Amazon Web Services Main Business
7.4.3 Amazon Web Services Deep Learning for Cognitive Computing Products, Services and Solutions
7.4.4 Amazon Web Services Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.4.5 Amazon Web Services Recent Developments
7.5 CognitiveScale
7.5.1 CognitiveScale Profile
7.5.2 CognitiveScale Main Business
7.5.3 CognitiveScale Deep Learning for Cognitive Computing Products, Services and Solutions
7.5.4 CognitiveScale Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.5.5 CognitiveScale Recent Developments
7.6 Numenta
7.6.1 Numenta Profile
7.6.2 Numenta Main Business
7.6.3 Numenta Deep Learning for Cognitive Computing Products, Services and Solutions
7.6.4 Numenta Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.6.5 Numenta Recent Developments
7.7 Expert .AI
7.7.1 Expert .AI Profile
7.7.2 Expert .AI Main Business
7.7.3 Expert .AI Deep Learning for Cognitive Computing Products, Services and Solutions
7.7.4 Expert .AI Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.7.5 Expert .AI Recent Developments
7.8 Cisco
7.8.1 Cisco Profile
7.8.2 Cisco Main Business
7.8.3 Cisco Deep Learning for Cognitive Computing Products, Services and Solutions
7.8.4 Cisco Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.8.5 Cisco Recent Developments
7.9 Google LLC
7.9.1 Google LLC Profile
7.9.2 Google LLC Main Business
7.9.3 Google LLC Deep Learning for Cognitive Computing Products, Services and Solutions
7.9.4 Google LLC Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.9.5 Google LLC Recent Developments
7.10 Tata Consultancy Services
7.10.1 Tata Consultancy Services Profile
7.10.2 Tata Consultancy Services Main Business
7.10.3 Tata Consultancy Services Deep Learning for Cognitive Computing Products, Services and Solutions
7.10.4 Tata Consultancy Services Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.10.5 Tata Consultancy Services Recent Developments
7.11 Infosys Limited
7.11.1 Infosys Limited Profile
7.11.2 Infosys Limited Main Business
7.11.3 Infosys Limited Deep Learning for Cognitive Computing Products, Services and Solutions
7.11.4 Infosys Limited Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.11.5 Infosys Limited Recent Developments
7.12 BurstIQ Inc
7.12.1 BurstIQ Inc Profile
7.12.2 BurstIQ Inc Main Business
7.12.3 BurstIQ Inc Deep Learning for Cognitive Computing Products, Services and Solutions
7.12.4 BurstIQ Inc Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.12.5 BurstIQ Inc Recent Developments
7.13 Red Skios
7.13.1 Red Skios Profile
7.13.2 Red Skios Main Business
7.13.3 Red Skios Deep Learning for Cognitive Computing Products, Services and Solutions
7.13.4 Red Skios Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.13.5 Red Skios Recent Developments
7.14 e-Zest Solutions
7.14.1 e-Zest Solutions Profile
7.14.2 e-Zest Solutions Main Business
7.14.3 e-Zest Solutions Deep Learning for Cognitive Computing Products, Services and Solutions
7.14.4 e-Zest Solutions Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.14.5 e-Zest Solutions Recent Developments
7.15 Vantage Labs
7.15.1 Vantage Labs Profile
7.15.2 Vantage Labs Main Business
7.15.3 Vantage Labs Deep Learning for Cognitive Computing Products, Services and Solutions
7.15.4 Vantage Labs Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.15.5 Vantage Labs Recent Developments
7.16 Cognitive Software Group
7.16.1 Cognitive Software Group Profile
7.16.2 Cognitive Software Group Main Business
7.16.3 Cognitive Software Group Deep Learning for Cognitive Computing Products, Services and Solutions
7.16.4 Cognitive Software Group Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.16.5 Cognitive Software Group Recent Developments
7.17 SparkCognition
7.17.1 SparkCognition Profile
7.17.2 SparkCognition Main Business
7.17.3 SparkCognition Deep Learning for Cognitive Computing Products, Services and Solutions
7.17.4 SparkCognition Deep Learning for Cognitive Computing Revenue (US$ Million) & (2019-2024)
7.17.5 SparkCognition Recent Developments
8 Industry Chain Analysis
8.1 Deep Learning for Cognitive Computing Industrial Chain
8.2 Deep Learning for Cognitive Computing Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Deep Learning for Cognitive Computing Sales Model
8.5.2 Sales Channel
8.5.3 Deep Learning for Cognitive Computing Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
List of Tables
    Table 1. Deep Learning for Cognitive Computing Market Trends
    Table 2. Deep Learning for Cognitive Computing Market Drivers & Opportunity
    Table 3. Deep Learning for Cognitive Computing Market Challenges
    Table 4. Deep Learning for Cognitive Computing Market Restraints
    Table 5. Global Deep Learning for Cognitive Computing Revenue by Company (2019-2024) & (US$ Million)
    Table 6. Global Deep Learning for Cognitive Computing Revenue Market Share by Company (2019-2024)
    Table 7. Key Companies Deep Learning for Cognitive Computing Manufacturing Base Distribution and Headquarters
    Table 8. Key Companies Deep Learning for Cognitive Computing Product Type
    Table 9. Key Companies Time to Begin Mass Production of Deep Learning for Cognitive Computing
    Table 10. Global Deep Learning for Cognitive Computing Companies Market Concentration Ratio (CR5 and HHI)
    Table 11. Global Top Companies Market Share by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Deep Learning for Cognitive Computing as of 2023)
    Table 12. Mergers & Acquisitions, Expansion Plans
    Table 13. Global Deep Learning for Cognitive Computing Sales Value by Type: 2019 VS 2023 VS 2030 (US$ Million)
    Table 14. Global Deep Learning for Cognitive Computing Sales Value by Type (2019-2024) & (US$ Million)
    Table 15. Global Deep Learning for Cognitive Computing Sales Value by Type (2025-2030) & (US$ Million)
    Table 16. Global Deep Learning for Cognitive Computing Sales Market Share in Value by Type (2019-2024) & (%)
    Table 17. Global Deep Learning for Cognitive Computing Sales Market Share in Value by Type (2025-2030) & (%)
    Table 18. Global Deep Learning for Cognitive Computing Sales Value by Application: 2019 VS 2023 VS 2030 (US$ Million)
    Table 19. Global Deep Learning for Cognitive Computing Sales Value by Application (2019-2024) & (US$ Million)
    Table 20. Global Deep Learning for Cognitive Computing Sales Value by Application (2025-2030) & (US$ Million)
    Table 21. Global Deep Learning for Cognitive Computing Sales Market Share in Value by Application (2019-2024) & (%)
    Table 22. Global Deep Learning for Cognitive Computing Sales Market Share in Value by Application (2025-2030) & (%)
    Table 23. Global Deep Learning for Cognitive Computing Sales Value by Region: 2019 VS 2023 VS 2030 (US$ Million)
    Table 24. Global Deep Learning for Cognitive Computing Sales Value by Region (2019-2024) & (US$ Million)
    Table 25. Global Deep Learning for Cognitive Computing Sales Value by Region (2025-2030) & (US$ Million)
    Table 26. Global Deep Learning for Cognitive Computing Sales Value by Region (2019-2024) & (%)
    Table 27. Global Deep Learning for Cognitive Computing Sales Value by Region (2025-2030) & (%)
    Table 28. Key Countries/Regions Deep Learning for Cognitive Computing Sales Value Growth Trends, (US$ Million): 2019 VS 2023 VS 2030
    Table 29. Key Countries/Regions Deep Learning for Cognitive Computing Sales Value, (2019-2024) & (US$ Million)
    Table 30. Key Countries/Regions Deep Learning for Cognitive Computing Sales Value, (2025-2030) & (US$ Million)
    Table 31. Microsoft Basic Information List
    Table 32. Microsoft Description and Business Overview
    Table 33. Microsoft Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 34. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of Microsoft (2019-2024)
    Table 35. Microsoft Recent Developments
    Table 36. IBM Basic Information List
    Table 37. IBM Description and Business Overview
    Table 38. IBM Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 39. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of IBM (2019-2024)
    Table 40. IBM Recent Developments
    Table 41. SAS Institute Basic Information List
    Table 42. SAS Institute Description and Business Overview
    Table 43. SAS Institute Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 44. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of SAS Institute (2019-2024)
    Table 45. SAS Institute Recent Developments
    Table 46. Amazon Web Services Basic Information List
    Table 47. Amazon Web Services Description and Business Overview
    Table 48. Amazon Web Services Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 49. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of Amazon Web Services (2019-2024)
    Table 50. Amazon Web Services Recent Developments
    Table 51. CognitiveScale Basic Information List
    Table 52. CognitiveScale Description and Business Overview
    Table 53. CognitiveScale Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 54. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of CognitiveScale (2019-2024)
    Table 55. CognitiveScale Recent Developments
    Table 56. Numenta Basic Information List
    Table 57. Numenta Description and Business Overview
    Table 58. Numenta Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 59. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of Numenta (2019-2024)
    Table 60. Numenta Recent Developments
    Table 61. Expert .AI Basic Information List
    Table 62. Expert .AI Description and Business Overview
    Table 63. Expert .AI Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 64. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of Expert .AI (2019-2024)
    Table 65. Expert .AI Recent Developments
    Table 66. Cisco Basic Information List
    Table 67. Cisco Description and Business Overview
    Table 68. Cisco Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 69. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of Cisco (2019-2024)
    Table 70. Cisco Recent Developments
    Table 71. Google LLC Basic Information List
    Table 72. Google LLC Description and Business Overview
    Table 73. Google LLC Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 74. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of Google LLC (2019-2024)
    Table 75. Google LLC Recent Developments
    Table 76. Tata Consultancy Services Basic Information List
    Table 77. Tata Consultancy Services Description and Business Overview
    Table 78. Tata Consultancy Services Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 79. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of Tata Consultancy Services (2019-2024)
    Table 80. Tata Consultancy Services Recent Developments
    Table 81. Infosys Limited Basic Information List
    Table 82. Infosys Limited Description and Business Overview
    Table 83. Infosys Limited Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 84. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of Infosys Limited (2019-2024)
    Table 85. Infosys Limited Recent Developments
    Table 86. BurstIQ Inc Basic Information List
    Table 87. BurstIQ Inc Description and Business Overview
    Table 88. BurstIQ Inc Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 89. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of BurstIQ Inc (2019-2024)
    Table 90. BurstIQ Inc Recent Developments
    Table 91. Red Skios Basic Information List
    Table 92. Red Skios Description and Business Overview
    Table 93. Red Skios Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 94. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of Red Skios (2019-2024)
    Table 95. Red Skios Recent Developments
    Table 96. e-Zest Solutions Basic Information List
    Table 97. e-Zest Solutions Description and Business Overview
    Table 98. e-Zest Solutions Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 99. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of e-Zest Solutions (2019-2024)
    Table 100. e-Zest Solutions Recent Developments
    Table 101. Vantage Labs Basic Information List
    Table 102. Vantage Labs Description and Business Overview
    Table 103. Vantage Labs Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 104. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of Vantage Labs (2019-2024)
    Table 105. Vantage Labs Recent Developments
    Table 106. Cognitive Software Group Basic Information List
    Table 107. Cognitive Software Group Description and Business Overview
    Table 108. Cognitive Software Group Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 109. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of Cognitive Software Group (2019-2024)
    Table 110. Cognitive Software Group Recent Developments
    Table 111. SparkCognition Basic Information List
    Table 112. SparkCognition Description and Business Overview
    Table 113. SparkCognition Deep Learning for Cognitive Computing Products, Services and Solutions
    Table 114. Revenue (US$ Million) in Deep Learning for Cognitive Computing Business of SparkCognition (2019-2024)
    Table 115. SparkCognition Recent Developments
    Table 116. Key Raw Materials Lists
    Table 117. Raw Materials Key Suppliers Lists
    Table 118. Deep Learning for Cognitive Computing Downstream Customers
    Table 119. Deep Learning for Cognitive Computing Distributors List
    Table 120. Research Programs/Design for This Report
    Table 121. Key Data Information from Secondary Sources
    Table 122. Key Data Information from Primary Sources
    Table 123. Business Unit and Senior & Team Lead Analysts
List of Figures
    Figure 1. Deep Learning for Cognitive Computing Product Picture
    Figure 2. Global Deep Learning for Cognitive Computing Sales Value, 2019 VS 2023 VS 2030 (US$ Million)
    Figure 3. Global Deep Learning for Cognitive Computing Sales Value (2019-2030) & (US$ Million)
    Figure 4. Deep Learning for Cognitive Computing Report Years Considered
    Figure 5. Global Deep Learning for Cognitive Computing Players Revenue Ranking (2023) & (US$ Million)
    Figure 6. The 5 and 10 Largest Manufacturers in the World: Market Share by Deep Learning for Cognitive Computing Revenue in 2023
    Figure 7. Deep Learning for Cognitive Computing Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2019 VS 2023
    Figure 8. Platform Picture
    Figure 9. Services Picture
    Figure 10. Global Deep Learning for Cognitive Computing Sales Value by Type (2019 VS 2023 VS 2030) & (US$ Million)
    Figure 11. Global Deep Learning for Cognitive Computing Sales Value Market Share by Type, 2023 & 2030
    Figure 12. Product Picture of Intelligent Automation
    Figure 13. Product Picture of Intelligent Virtual Assistants and Chatbots
    Figure 14. Product Picture of Behavior Analysis
    Figure 15. Product Picture of Biometrics
    Figure 16. Global Deep Learning for Cognitive Computing Sales Value by Application (2019 VS 2023 VS 2030) & (US$ Million)
    Figure 17. Global Deep Learning for Cognitive Computing Sales Value Market Share by Application, 2023 & 2030
    Figure 18. North America Deep Learning for Cognitive Computing Sales Value (2019-2030) & (US$ Million)
    Figure 19. North America Deep Learning for Cognitive Computing Sales Value by Country (%), 2023 VS 2030
    Figure 20. Europe Deep Learning for Cognitive Computing Sales Value (2019-2030) & (US$ Million)
    Figure 21. Europe Deep Learning for Cognitive Computing Sales Value by Country (%), 2023 VS 2030
    Figure 22. Asia Pacific Deep Learning for Cognitive Computing Sales Value (2019-2030) & (US$ Million)
    Figure 23. Asia Pacific Deep Learning for Cognitive Computing Sales Value by Country (%), 2023 VS 2030
    Figure 24. South America Deep Learning for Cognitive Computing Sales Value (2019-2030) & (US$ Million)
    Figure 25. South America Deep Learning for Cognitive Computing Sales Value by Country (%), 2023 VS 2030
    Figure 26. Middle East & Africa Deep Learning for Cognitive Computing Sales Value (2019-2030) & (US$ Million)
    Figure 27. Middle East & Africa Deep Learning for Cognitive Computing Sales Value by Country (%), 2023 VS 2030
    Figure 28. Key Countries/Regions Deep Learning for Cognitive Computing Sales Value (%), (2019-2030)
    Figure 29. United States Deep Learning for Cognitive Computing Sales Value, (2019-2030) & (US$ Million)
    Figure 30. United States Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
    Figure 31. United States Deep Learning for Cognitive Computing Sales Value by Application (%), 2023 VS 2030
    Figure 32. Europe Deep Learning for Cognitive Computing Sales Value, (2019-2030) & (US$ Million)
    Figure 33. Europe Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
    Figure 34. Europe Deep Learning for Cognitive Computing Sales Value by Application (%), 2023 VS 2030
    Figure 35. China Deep Learning for Cognitive Computing Sales Value, (2019-2030) & (US$ Million)
    Figure 36. China Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
    Figure 37. China Deep Learning for Cognitive Computing Sales Value by Application (%), 2023 VS 2030
    Figure 38. Japan Deep Learning for Cognitive Computing Sales Value, (2019-2030) & (US$ Million)
    Figure 39. Japan Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
    Figure 40. Japan Deep Learning for Cognitive Computing Sales Value by Application (%), 2023 VS 2030
    Figure 41. South Korea Deep Learning for Cognitive Computing Sales Value, (2019-2030) & (US$ Million)
    Figure 42. South Korea Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
    Figure 43. South Korea Deep Learning for Cognitive Computing Sales Value by Application (%), 2023 VS 2030
    Figure 44. Southeast Asia Deep Learning for Cognitive Computing Sales Value, (2019-2030) & (US$ Million)
    Figure 45. Southeast Asia Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
    Figure 46. Southeast Asia Deep Learning for Cognitive Computing Sales Value by Application (%), 2023 VS 2030
    Figure 47. India Deep Learning for Cognitive Computing Sales Value, (2019-2030) & (US$ Million)
    Figure 48. India Deep Learning for Cognitive Computing Sales Value by Type (%), 2023 VS 2030
    Figure 49. India Deep Learning for Cognitive Computing Sales Value by Application (%), 2023 VS 2030
    Figure 50. Deep Learning for Cognitive Computing Industrial Chain
    Figure 51. Deep Learning for Cognitive Computing Manufacturing Cost Structure
    Figure 52. Channels of Distribution (Direct Sales, and Distribution)
    Figure 53. Bottom-up and Top-down Approaches for This Report
    Figure 54. Data Triangulation
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