Deep Learning Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509249113

Publication Date:

September 26, 2024

Pages:

131

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Deep learning software is a type of software that uses artificial neural networks to perform complex tasks such as image recognition, natural language processing, speech synthesis, and computer vision. Deep learning software can learn from large amounts of data and improve its performance over time. Deep learning software can help organizations solve various problems and create new applications in fields such as healthcare, education, entertainment, and security.
The global market for Deep Learning Software was estimated to be worth US$ 445 million in 2023 and is forecast to a readjusted size of US$ 827.4 million by 2030 with a CAGR of 9.5% during the forecast period 2024-2030
The industry trend of deep learning software is expected to be positive in the coming years. The growth of this market can be attributed to the increasing demand for cloud-based and web-based solutions by large enterprises and SMEs. Additionally, the growing adoption of these software tools by organizations across different industries such as healthcare, automotive, manufacturing, retail, media and entertainment, aerospace and defense, and others is also contributing to the growth of this market.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Deep Learning Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Deep Learning Software by region & country, by Type, and by Application.
The Deep Learning Software 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 Software.
Market Segmentation
By Company
Microsoft
Express Scribe
Nuance
Google
IBM
AWS
AV Voice
Sayint
OpenCV
SimpleCV
Clarifai
Keras
Mocha
TFLearn
Torch
DeepPy
Segment by Type:
Artificial Neural Network Software
Image Recognition Software
Voice Recognition Software
Segment by Application
Large Enterprises
SMEs
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
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 Software 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 Software 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 Software 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.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Deep Learning Software Product Introduction
1.2 Global Deep Learning Software Market Size Forecast
1.3 Deep Learning Software Market Trends & Drivers
1.3.1 Deep Learning Software Industry Trends
1.3.2 Deep Learning Software Market Drivers & Opportunity
1.3.3 Deep Learning Software Market Challenges
1.3.4 Deep Learning Software 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 Software Players Revenue Ranking (2023)
2.2 Global Deep Learning Software Revenue by Company (2019-2024)
2.3 Key Companies Deep Learning Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies Deep Learning Software Product Offered
2.5 Key Companies Time to Begin Mass Production of Deep Learning Software
2.6 Deep Learning Software Market Competitive Analysis
2.6.1 Deep Learning Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Deep Learning Software 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 Software as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Artificial Neural Network Software
3.1.2 Image Recognition Software
3.1.3 Voice Recognition Software
3.2 Global Deep Learning Software Sales Value by Type
3.2.1 Global Deep Learning Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Deep Learning Software Sales Value, by Type (2019-2030)
3.2.3 Global Deep Learning Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Enterprises
4.1.2 SMEs
4.2 Global Deep Learning Software Sales Value by Application
4.2.1 Global Deep Learning Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Deep Learning Software Sales Value, by Application (2019-2030)
4.2.3 Global Deep Learning Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Deep Learning Software Sales Value by Region
5.1.1 Global Deep Learning Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Deep Learning Software Sales Value by Region (2019-2024)
5.1.3 Global Deep Learning Software Sales Value by Region (2025-2030)
5.1.4 Global Deep Learning Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Deep Learning Software Sales Value, 2019-2030
5.2.2 North America Deep Learning Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Deep Learning Software Sales Value, 2019-2030
5.3.2 Europe Deep Learning Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Deep Learning Software Sales Value, 2019-2030
5.4.2 Asia Pacific Deep Learning Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Deep Learning Software Sales Value, 2019-2030
5.5.2 South America Deep Learning Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Deep Learning Software Sales Value, 2019-2030
5.6.2 Middle East & Africa Deep Learning Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Deep Learning Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Deep Learning Software Sales Value
6.3 United States
6.3.1 United States Deep Learning Software Sales Value, 2019-2030
6.3.2 United States Deep Learning Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Deep Learning Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Deep Learning Software Sales Value, 2019-2030
6.4.2 Europe Deep Learning Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Deep Learning Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Deep Learning Software Sales Value, 2019-2030
6.5.2 China Deep Learning Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China Deep Learning Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Deep Learning Software Sales Value, 2019-2030
6.6.2 Japan Deep Learning Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Deep Learning Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Deep Learning Software Sales Value, 2019-2030
6.7.2 South Korea Deep Learning Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Deep Learning Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Deep Learning Software Sales Value, 2019-2030
6.8.2 Southeast Asia Deep Learning Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Deep Learning Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Deep Learning Software Sales Value, 2019-2030
6.9.2 India Deep Learning Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India Deep Learning Software 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 Software Products, Services and Solutions
7.1.4 Microsoft Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.1.5 Microsoft Recent Developments
7.2 Express Scribe
7.2.1 Express Scribe Profile
7.2.2 Express Scribe Main Business
7.2.3 Express Scribe Deep Learning Software Products, Services and Solutions
7.2.4 Express Scribe Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.2.5 Express Scribe Recent Developments
7.3 Nuance
7.3.1 Nuance Profile
7.3.2 Nuance Main Business
7.3.3 Nuance Deep Learning Software Products, Services and Solutions
7.3.4 Nuance Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.3.5 Google Recent Developments
7.4 Google
7.4.1 Google Profile
7.4.2 Google Main Business
7.4.3 Google Deep Learning Software Products, Services and Solutions
7.4.4 Google Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.4.5 Google Recent Developments
7.5 IBM
7.5.1 IBM Profile
7.5.2 IBM Main Business
7.5.3 IBM Deep Learning Software Products, Services and Solutions
7.5.4 IBM Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.5.5 IBM Recent Developments
7.6 AWS
7.6.1 AWS Profile
7.6.2 AWS Main Business
7.6.3 AWS Deep Learning Software Products, Services and Solutions
7.6.4 AWS Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.6.5 AWS Recent Developments
7.7 AV Voice
7.7.1 AV Voice Profile
7.7.2 AV Voice Main Business
7.7.3 AV Voice Deep Learning Software Products, Services and Solutions
7.7.4 AV Voice Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.7.5 AV Voice Recent Developments
7.8 Sayint
7.8.1 Sayint Profile
7.8.2 Sayint Main Business
7.8.3 Sayint Deep Learning Software Products, Services and Solutions
7.8.4 Sayint Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.8.5 Sayint Recent Developments
7.9 OpenCV
7.9.1 OpenCV Profile
7.9.2 OpenCV Main Business
7.9.3 OpenCV Deep Learning Software Products, Services and Solutions
7.9.4 OpenCV Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.9.5 OpenCV Recent Developments
7.10 SimpleCV
7.10.1 SimpleCV Profile
7.10.2 SimpleCV Main Business
7.10.3 SimpleCV Deep Learning Software Products, Services and Solutions
7.10.4 SimpleCV Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.10.5 SimpleCV Recent Developments
7.11 Clarifai
7.11.1 Clarifai Profile
7.11.2 Clarifai Main Business
7.11.3 Clarifai Deep Learning Software Products, Services and Solutions
7.11.4 Clarifai Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.11.5 Clarifai Recent Developments
7.12 Keras
7.12.1 Keras Profile
7.12.2 Keras Main Business
7.12.3 Keras Deep Learning Software Products, Services and Solutions
7.12.4 Keras Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.12.5 Keras Recent Developments
7.13 Mocha
7.13.1 Mocha Profile
7.13.2 Mocha Main Business
7.13.3 Mocha Deep Learning Software Products, Services and Solutions
7.13.4 Mocha Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.13.5 Mocha Recent Developments
7.14 TFLearn
7.14.1 TFLearn Profile
7.14.2 TFLearn Main Business
7.14.3 TFLearn Deep Learning Software Products, Services and Solutions
7.14.4 TFLearn Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.14.5 TFLearn Recent Developments
7.15 Torch
7.15.1 Torch Profile
7.15.2 Torch Main Business
7.15.3 Torch Deep Learning Software Products, Services and Solutions
7.15.4 Torch Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.15.5 Torch Recent Developments
7.16 DeepPy
7.16.1 DeepPy Profile
7.16.2 DeepPy Main Business
7.16.3 DeepPy Deep Learning Software Products, Services and Solutions
7.16.4 DeepPy Deep Learning Software Revenue (US$ Million) & (2019-2024)
7.16.5 DeepPy Recent Developments
8 Industry Chain Analysis
8.1 Deep Learning Software Industrial Chain
8.2 Deep Learning Software 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 Software Sales Model
8.5.2 Sales Channel
8.5.3 Deep Learning Software 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

Companies Mentioned:

Microsoft
Express Scribe
Nuance
Google
IBM
AWS
AV Voice
Sayint
OpenCV
SimpleCV
Clarifai
Keras
Mocha
TFLearn
Torch
DeepPy

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