Global Deep Learning for Cognitive Computing Market 2023 by Company, Regions, Type and Application, Forecast to 2029

Report ID: GIR2301130011 | Category: Service & Software | Pages: 112 | Format: PDF | Published Date: February 13,2023

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Report Summary

According to our (Global Info Research) latest study, the global Deep Learning for Cognitive Computing market size was valued at USD million in 2022 and is forecast to a readjusted size of USD million by 2029 with a CAGR of % during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
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.
This report is a detailed and comprehensive analysis for global Deep Learning for Cognitive Computing market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.
Key Features:
Global Deep Learning for Cognitive Computing market size and forecasts, in consumption value ($ Million), 2018-2029
Global Deep Learning for Cognitive Computing market size and forecasts by region and country, in consumption value ($ Million), 2018-2029
Global Deep Learning for Cognitive Computing market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029
Global Deep Learning for Cognitive Computing market shares of main players, in revenue ($ Million), 2018-2023
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Deep Learning for Cognitive Computing
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Deep Learning for Cognitive Computing market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Microsoft, IBM, SAS Institute, Amazon Web Services and CognitiveScale, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.
Market segmentation
Deep Learning for Cognitive Computing market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
    Platform
    Services
Market segment by Application
    Intelligent Automation
    Intelligent Virtual Assistants and Chatbots
    Behavior Analysis
    Biometrics
Market segment by players, this report covers
    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
Market segment by regions, regional analysis covers
    North America (United States, Canada, and Mexico)
    Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
    Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
    South America (Brazil, Argentina and Rest of South America)
    Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Deep Learning for Cognitive Computing product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Deep Learning for Cognitive Computing, with revenue, gross margin and global market share of Deep Learning for Cognitive Computing from 2018 to 2023.
Chapter 3, the Deep Learning for Cognitive Computing competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and Deep Learning for Cognitive Computing market forecast, by regions, type and application, with consumption value, from 2024 to 2029.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War
Chapter 12, the key raw materials and key suppliers, and industry chain of Deep Learning for Cognitive Computing.
Chapter 13, to describe Deep Learning for Cognitive Computing research findings and conclusion.

1 Market Overview_x000D_
    1.1 Product Overview and Scope of Deep Learning for Cognitive Computing_x000D_
    1.2 Market Estimation Caveats and Base Year_x000D_
    1.3 Classification of Deep Learning for Cognitive Computing by Type_x000D_
        1.3.1 Overview: Global Deep Learning for Cognitive Computing Market Size by Type: 2018 Versus 2022 Versus 2029_x000D_
        1.3.2 Global Deep Learning for Cognitive Computing Consumption Value Market Share by Type in 2022_x000D_
        1.3.3 Platform_x000D_
        1.3.4 Services_x000D_
    1.4 Global Deep Learning for Cognitive Computing Market by Application_x000D_
        1.4.1 Overview: Global Deep Learning for Cognitive Computing Market Size by Application: 2018 Versus 2022 Versus 2029_x000D_
        1.4.2 Intelligent Automation_x000D_
        1.4.3 Intelligent Virtual Assistants and Chatbots_x000D_
        1.4.4 Behavior Analysis_x000D_
        1.4.5 Biometrics_x000D_
    1.5 Global Deep Learning for Cognitive Computing Market Size & Forecast_x000D_
    1.6 Global Deep Learning for Cognitive Computing Market Size and Forecast by Region_x000D_
        1.6.1 Global Deep Learning for Cognitive Computing Market Size by Region: 2018 VS 2022 VS 2029_x000D_
        1.6.2 Global Deep Learning for Cognitive Computing Market Size by Region, (2018-2029)_x000D_
        1.6.3 North America Deep Learning for Cognitive Computing Market Size and Prospect (2018-2029)_x000D_
        1.6.4 Europe Deep Learning for Cognitive Computing Market Size and Prospect (2018-2029)_x000D_
        1.6.5 Asia-Pacific Deep Learning for Cognitive Computing Market Size and Prospect (2018-2029)_x000D_
        1.6.6 South America Deep Learning for Cognitive Computing Market Size and Prospect (2018-2029)_x000D_
        1.6.7 Middle East and Africa Deep Learning for Cognitive Computing Market Size and Prospect (2018-2029)_x000D_
2 Company Profiles_x000D_
    2.1 Microsoft_x000D_
        2.1.1 Microsoft Details_x000D_
        2.1.2 Microsoft Major Business_x000D_
        2.1.3 Microsoft Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.1.4 Microsoft Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.1.5 Microsoft Recent Developments and Future Plans_x000D_
    2.2 IBM_x000D_
        2.2.1 IBM Details_x000D_
        2.2.2 IBM Major Business_x000D_
        2.2.3 IBM Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.2.4 IBM Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.2.5 IBM Recent Developments and Future Plans_x000D_
    2.3 SAS Institute_x000D_
        2.3.1 SAS Institute Details_x000D_
        2.3.2 SAS Institute Major Business_x000D_
        2.3.3 SAS Institute Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.3.4 SAS Institute Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.3.5 SAS Institute Recent Developments and Future Plans_x000D_
    2.4 Amazon Web Services_x000D_
        2.4.1 Amazon Web Services Details_x000D_
        2.4.2 Amazon Web Services Major Business_x000D_
        2.4.3 Amazon Web Services Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.4.4 Amazon Web Services Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.4.5 Amazon Web Services Recent Developments and Future Plans_x000D_
    2.5 CognitiveScale_x000D_
        2.5.1 CognitiveScale Details_x000D_
        2.5.2 CognitiveScale Major Business_x000D_
        2.5.3 CognitiveScale Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.5.4 CognitiveScale Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.5.5 CognitiveScale Recent Developments and Future Plans_x000D_
    2.6 Numenta_x000D_
        2.6.1 Numenta Details_x000D_
        2.6.2 Numenta Major Business_x000D_
        2.6.3 Numenta Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.6.4 Numenta Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.6.5 Numenta Recent Developments and Future Plans_x000D_
    2.7 Expert .AI_x000D_
        2.7.1 Expert .AI Details_x000D_
        2.7.2 Expert .AI Major Business_x000D_
        2.7.3 Expert .AI Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.7.4 Expert .AI Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.7.5 Expert .AI Recent Developments and Future Plans_x000D_
    2.8 Cisco_x000D_
        2.8.1 Cisco Details_x000D_
        2.8.2 Cisco Major Business_x000D_
        2.8.3 Cisco Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.8.4 Cisco Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.8.5 Cisco Recent Developments and Future Plans_x000D_
    2.9 Google LLC_x000D_
        2.9.1 Google LLC Details_x000D_
        2.9.2 Google LLC Major Business_x000D_
        2.9.3 Google LLC Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.9.4 Google LLC Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.9.5 Google LLC Recent Developments and Future Plans_x000D_
    2.10 Tata Consultancy Services _x000D_
        2.10.1 Tata Consultancy Services Details_x000D_
        2.10.2 Tata Consultancy Services Major Business_x000D_
        2.10.3 Tata Consultancy Services Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.10.4 Tata Consultancy Services Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.10.5 Tata Consultancy Services Recent Developments and Future Plans_x000D_
    2.11 Infosys Limited_x000D_
        2.11.1 Infosys Limited Details_x000D_
        2.11.2 Infosys Limited Major Business_x000D_
        2.11.3 Infosys Limited Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.11.4 Infosys Limited Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.11.5 Infosys Limited Recent Developments and Future Plans_x000D_
    2.12 BurstIQ Inc_x000D_
        2.12.1 BurstIQ Inc Details_x000D_
        2.12.2 BurstIQ Inc Major Business_x000D_
        2.12.3 BurstIQ Inc Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.12.4 BurstIQ Inc Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.12.5 BurstIQ Inc Recent Developments and Future Plans_x000D_
    2.13 Red Skios_x000D_
        2.13.1 Red Skios Details_x000D_
        2.13.2 Red Skios Major Business_x000D_
        2.13.3 Red Skios Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.13.4 Red Skios Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.13.5 Red Skios Recent Developments and Future Plans_x000D_
    2.14 e-Zest Solutions_x000D_
        2.14.1 e-Zest Solutions Details_x000D_
        2.14.2 e-Zest Solutions Major Business_x000D_
        2.14.3 e-Zest Solutions Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.14.4 e-Zest Solutions Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.14.5 e-Zest Solutions Recent Developments and Future Plans_x000D_
    2.15 Vantage Labs_x000D_
        2.15.1 Vantage Labs Details_x000D_
        2.15.2 Vantage Labs Major Business_x000D_
        2.15.3 Vantage Labs Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.15.4 Vantage Labs Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.15.5 Vantage Labs Recent Developments and Future Plans_x000D_
    2.16 Cognitive Software Group_x000D_
        2.16.1 Cognitive Software Group Details_x000D_
        2.16.2 Cognitive Software Group Major Business_x000D_
        2.16.3 Cognitive Software Group Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.16.4 Cognitive Software Group Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.16.5 Cognitive Software Group Recent Developments and Future Plans_x000D_
    2.17 SparkCognition_x000D_
        2.17.1 SparkCognition Details_x000D_
        2.17.2 SparkCognition Major Business_x000D_
        2.17.3 SparkCognition Deep Learning for Cognitive Computing Product and Solutions_x000D_
        2.17.4 SparkCognition Deep Learning for Cognitive Computing Revenue, Gross Margin and Market Share (2018-2023)_x000D_
        2.17.5 SparkCognition Recent Developments and Future Plans_x000D_
3 Market Competition, by Players_x000D_
    3.1 Global Deep Learning for Cognitive Computing Revenue and Share by Players (2018-2023)_x000D_
    3.2 Market Share Analysis (2022)_x000D_
        3.2.1 Market Share of Deep Learning for Cognitive Computing by Company Revenue_x000D_
        3.2.2 Top 3 Deep Learning for Cognitive Computing Players Market Share in 2022_x000D_
        3.2.3 Top 6 Deep Learning for Cognitive Computing Players Market Share in 2022_x000D_
    3.3 Deep Learning for Cognitive Computing Market: Overall Company Footprint Analysis_x000D_
        3.3.1 Deep Learning for Cognitive Computing Market: Region Footprint_x000D_
        3.3.2 Deep Learning for Cognitive Computing Market: Company Product Type Footprint_x000D_
        3.3.3 Deep Learning for Cognitive Computing Market: Company Product Application Footprint_x000D_
    3.4 New Market Entrants and Barriers to Market Entry_x000D_
    3.5 Mergers, Acquisition, Agreements, and Collaborations_x000D_
4 Market Size Segment by Type_x000D_
    4.1 Global Deep Learning for Cognitive Computing Consumption Value and Market Share by Type (2018-2023)_x000D_
    4.2 Global Deep Learning for Cognitive Computing Market Forecast by Type (2024-2029)_x000D_
5 Market Size Segment by Application_x000D_
    5.1 Global Deep Learning for Cognitive Computing Consumption Value Market Share by Application (2018-2023)_x000D_
    5.2 Global Deep Learning for Cognitive Computing Market Forecast by Application (2024-2029)_x000D_
6 North America_x000D_
    6.1 North America Deep Learning for Cognitive Computing Consumption Value by Type (2018-2029)_x000D_
    6.2 North America Deep Learning for Cognitive Computing Consumption Value by Application (2018-2029)_x000D_
    6.3 North America Deep Learning for Cognitive Computing Market Size by Country_x000D_
        6.3.1 North America Deep Learning for Cognitive Computing Consumption Value by Country (2018-2029)_x000D_
        6.3.2 United States Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        6.3.3 Canada Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        6.3.4 Mexico Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
7 Europe_x000D_
    7.1 Europe Deep Learning for Cognitive Computing Consumption Value by Type (2018-2029)_x000D_
    7.2 Europe Deep Learning for Cognitive Computing Consumption Value by Application (2018-2029)_x000D_
    7.3 Europe Deep Learning for Cognitive Computing Market Size by Country_x000D_
        7.3.1 Europe Deep Learning for Cognitive Computing Consumption Value by Country (2018-2029)_x000D_
        7.3.2 Germany Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        7.3.3 France Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        7.3.4 United Kingdom Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        7.3.5 Russia Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        7.3.6 Italy Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
8 Asia-Pacific_x000D_
    8.1 Asia-Pacific Deep Learning for Cognitive Computing Consumption Value by Type (2018-2029)_x000D_
    8.2 Asia-Pacific Deep Learning for Cognitive Computing Consumption Value by Application (2018-2029)_x000D_
    8.3 Asia-Pacific Deep Learning for Cognitive Computing Market Size by Region_x000D_
        8.3.1 Asia-Pacific Deep Learning for Cognitive Computing Consumption Value by Region (2018-2029)_x000D_
        8.3.2 China Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        8.3.3 Japan Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        8.3.4 South Korea Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        8.3.5 India Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        8.3.6 Southeast Asia Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        8.3.7 Australia Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
9 South America_x000D_
    9.1 South America Deep Learning for Cognitive Computing Consumption Value by Type (2018-2029)_x000D_
    9.2 South America Deep Learning for Cognitive Computing Consumption Value by Application (2018-2029)_x000D_
    9.3 South America Deep Learning for Cognitive Computing Market Size by Country_x000D_
        9.3.1 South America Deep Learning for Cognitive Computing Consumption Value by Country (2018-2029)_x000D_
        9.3.2 Brazil Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        9.3.3 Argentina Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
10 Middle East & Africa_x000D_
    10.1 Middle East & Africa Deep Learning for Cognitive Computing Consumption Value by Type (2018-2029)_x000D_
    10.2 Middle East & Africa Deep Learning for Cognitive Computing Consumption Value by Application (2018-2029)_x000D_
    10.3 Middle East & Africa Deep Learning for Cognitive Computing Market Size by Country_x000D_
        10.3.1 Middle East & Africa Deep Learning for Cognitive Computing Consumption Value by Country (2018-2029)_x000D_
        10.3.2 Turkey Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        10.3.3 Saudi Arabia Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
        10.3.4 UAE Deep Learning for Cognitive Computing Market Size and Forecast (2018-2029)_x000D_
11 Market Dynamics_x000D_
    11.1 Deep Learning for Cognitive Computing Market Drivers_x000D_
    11.2 Deep Learning for Cognitive Computing Market Restraints_x000D_
    11.3 Deep Learning for Cognitive Computing Trends Analysis_x000D_
    11.4 Porters Five Forces Analysis_x000D_
        11.4.1 Threat of New Entrants_x000D_
        11.4.2 Bargaining Power of Suppliers_x000D_
        11.4.3 Bargaining Power of Buyers_x000D_
        11.4.4 Threat of Substitutes_x000D_
        11.4.5 Competitive Rivalry_x000D_
    11.5 Influence of COVID-19 and Russia-Ukraine War_x000D_
        11.5.1 Influence of COVID-19_x000D_
        11.5.2 Influence of Russia-Ukraine War_x000D_
12 Industry Chain Analysis_x000D_
    12.1 Deep Learning for Cognitive Computing Industry Chain_x000D_
    12.2 Deep Learning for Cognitive Computing Upstream Analysis_x000D_
    12.3 Deep Learning for Cognitive Computing Midstream Analysis_x000D_
    12.4 Deep Learning for Cognitive Computing Downstream Analysis_x000D_
13 Research Findings and Conclusion_x000D_
14 Appendix_x000D_
    14.1 Methodology_x000D_
    14.2 Research Process and Data Source_x000D_
    14.3 Disclaimer_x000D_

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Global Deep Learning for Cognitive Computing Market 2023 by Company, Regions, Type and Application, Forecast to 2029

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