Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers, with complexstructures or otherwise, composed of multiple non-linear transformations.
Market Analysis and Insights: Global Deep Learning Software Market
The global Deep Learning Software market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The US & Canada market for Deep Learning Software is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The China market for Deep Learning Software is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The Europe market for Deep Learning Software is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The global key companies of Deep Learning Software include Microsoft, Google, IBM, Amazon Web Services, Nuance Communications, NCH Software, Clarifai, GitHub and BigHand, etc. In 2023, the global top five players had a share approximately % in terms of revenue.
Deep Learning Software is widely used in various fields, such as Large Enterprises and SMEs, etc. Large Enterprises provides greatest supports to the Deep Learning Software industry development. In 2023, global % revenue of Deep Learning Software went into Large Enterprises filed and the proportion will reach to % in 2030.
Report Covers:
This report presents an overview of global market for Deep Learning Software market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Deep Learning Software, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Deep Learning Software, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Deep Learning Software revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Deep Learning Software market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Deep Learning Software revenue, projected growth trends, production technology, application and end-user industry.
Market Segmentation
By Company
Microsoft
Google
IBM
Amazon Web Services
Nuance Communications
NCH Software
Clarifai
GitHub
BigHand
TRINT
NVIDIA
Sight Machine
Alibaba
Hive
Harris Geospatial Solutions
SAS Institute
IMC
Segment by Type
On-premise
Cloud-based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Deep Learning Software in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Deep Learning Software companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Deep Learning Software revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Deep Learning Software Market Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 On-premise
1.2.3 Cloud-based
1.3 Market by Application
1.3.1 Global Deep Learning Software Market Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Deep Learning Software Market Perspective (2019-2030)
2.2 Global Deep Learning Software Growth Trends by Region
2.2.1 Deep Learning Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Deep Learning Software Historic Market Size by Region (2019-2024)
2.2.3 Deep Learning Software Forecasted Market Size by Region (2025-2030)
2.3 Deep Learning Software Market Dynamics
2.3.1 Deep Learning Software Industry Trends
2.3.2 Deep Learning Software Market Drivers
2.3.3 Deep Learning Software Market Challenges
2.3.4 Deep Learning Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Deep Learning Software by Players
3.1.1 Global Deep Learning Software Revenue by Players (2019-2024)
3.1.2 Global Deep Learning Software Revenue Market Share by Players (2019-2024)
3.2 Global Deep Learning Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Deep Learning Software, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Deep Learning Software Market Concentration Ratio
3.4.1 Global Deep Learning Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Deep Learning Software Revenue in 2023
3.5 Global Key Players of Deep Learning Software Head office and Area Served
3.6 Global Key Players of Deep Learning Software, Product and Application
3.7 Global Key Players of Deep Learning Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Deep Learning Software Breakdown Data by Type
4.1 Global Deep Learning Software Historic Market Size by Type (2019-2024)
4.2 Global Deep Learning Software Forecasted Market Size by Type (2025-2030)
5 Deep Learning Software Breakdown Data by Application
5.1 Global Deep Learning Software Historic Market Size by Application (2019-2024)
5.2 Global Deep Learning Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Deep Learning Software Market Size (2019-2030)
6.2 North America Deep Learning Software Market Size by Type
6.2.1 North America Deep Learning Software Market Size by Type (2019-2024)
6.2.2 North America Deep Learning Software Market Size by Type (2025-2030)
6.2.3 North America Deep Learning Software Market Share by Type (2019-2030)
6.3 North America Deep Learning Software Market Size by Application
6.3.1 North America Deep Learning Software Market Size by Application (2019-2024)
6.3.2 North America Deep Learning Software Market Size by Application (2025-2030)
6.3.3 North America Deep Learning Software Market Share by Application (2019-2030)
6.4 North America Deep Learning Software Market Size by Country
6.4.1 North America Deep Learning Software Market Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Deep Learning Software Market Size by Country (2019-2024)
6.4.3 North America Deep Learning Software Market Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Deep Learning Software Market Size (2019-2030)
7.2 Europe Deep Learning Software Market Size by Type
7.2.1 Europe Deep Learning Software Market Size by Type (2019-2024)
7.2.2 Europe Deep Learning Software Market Size by Type (2025-2030)
7.2.3 Europe Deep Learning Software Market Share by Type (2019-2030)
7.3 Europe Deep Learning Software Market Size by Application
7.3.1 Europe Deep Learning Software Market Size by Application (2019-2024)
7.3.2 Europe Deep Learning Software Market Size by Application (2025-2030)
7.3.3 Europe Deep Learning Software Market Share by Application (2019-2030)
7.4 Europe Deep Learning Software Market Size by Country
7.4.1 Europe Deep Learning Software Market Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Deep Learning Software Market Size by Country (2019-2024)
7.4.3 Europe Deep Learning Software Market Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Deep Learning Software Market Size (2019-2030)
8.2 China Deep Learning Software Market Size by Type
8.2.1 China Deep Learning Software Market Size by Type (2019-2024)
8.2.2 China Deep Learning Software Market Size by Type (2025-2030)
8.2.3 China Deep Learning Software Market Share by Type (2019-2030)
8.3 China Deep Learning Software Market Size by Application
8.3.1 China Deep Learning Software Market Size by Application (2019-2024)
8.3.2 China Deep Learning Software Market Size by Application (2025-2030)
8.3.3 China Deep Learning Software Market Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Deep Learning Software Market Size (2019-2030)
9.2 Asia Deep Learning Software Market Size by Type
9.2.1 Asia Deep Learning Software Market Size by Type (2019-2024)
9.2.2 Asia Deep Learning Software Market Size by Type (2025-2030)
9.2.3 Asia Deep Learning Software Market Share by Type (2019-2030)
9.3 Asia Deep Learning Software Market Size by Application
9.3.1 Asia Deep Learning Software Market Size by Application (2019-2024)
9.3.2 Asia Deep Learning Software Market Size by Application (2025-2030)
9.3.3 Asia Deep Learning Software Market Share by Application (2019-2030)
9.4 Asia Deep Learning Software Market Size by Region
9.4.1 Asia Deep Learning Software Market Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Deep Learning Software Market Size by Region (2019-2024)
9.4.3 Asia Deep Learning Software Market Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Deep Learning Software Market Size (2019-2030)
10.2 Middle East, Africa, and Latin America Deep Learning Software Market Size by Type
10.2.1 Middle East, Africa, and Latin America Deep Learning Software Market Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Deep Learning Software Market Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Deep Learning Software Market Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Deep Learning Software Market Size by Application
10.3.1 Middle East, Africa, and Latin America Deep Learning Software Market Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Deep Learning Software Market Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Deep Learning Software Market Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Deep Learning Software Market Size by Country
10.4.1 Middle East, Africa, and Latin America Deep Learning Software Market Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Deep Learning Software Market Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Deep Learning Software Market Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Details
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Deep Learning Software Introduction
11.1.4 Microsoft Revenue in Deep Learning Software Business (2019-2024)
11.1.5 Microsoft Recent Developments
11.2 Google
11.2.1 Google Company Details
11.2.2 Google Business Overview
11.2.3 Google Deep Learning Software Introduction
11.2.4 Google Revenue in Deep Learning Software Business (2019-2024)
11.2.5 Google Recent Developments
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM Deep Learning Software Introduction
11.3.4 IBM Revenue in Deep Learning Software Business (2019-2024)
11.3.5 IBM Recent Developments
11.4 Amazon Web Services
11.4.1 Amazon Web Services Company Details
11.4.2 Amazon Web Services Business Overview
11.4.3 Amazon Web Services Deep Learning Software Introduction
11.4.4 Amazon Web Services Revenue in Deep Learning Software Business (2019-2024)
11.4.5 Amazon Web Services Recent Developments
11.5 Nuance Communications
11.5.1 Nuance Communications Company Details
11.5.2 Nuance Communications Business Overview
11.5.3 Nuance Communications Deep Learning Software Introduction
11.5.4 Nuance Communications Revenue in Deep Learning Software Business (2019-2024)
11.5.5 Nuance Communications Recent Developments
11.6 NCH Software
11.6.1 NCH Software Company Details
11.6.2 NCH Software Business Overview
11.6.3 NCH Software Deep Learning Software Introduction
11.6.4 NCH Software Revenue in Deep Learning Software Business (2019-2024)
11.6.5 NCH Software Recent Developments
11.7 Clarifai
11.7.1 Clarifai Company Details
11.7.2 Clarifai Business Overview
11.7.3 Clarifai Deep Learning Software Introduction
11.7.4 Clarifai Revenue in Deep Learning Software Business (2019-2024)
11.7.5 Clarifai Recent Developments
11.8 GitHub
11.8.1 GitHub Company Details
11.8.2 GitHub Business Overview
11.8.3 GitHub Deep Learning Software Introduction
11.8.4 GitHub Revenue in Deep Learning Software Business (2019-2024)
11.8.5 GitHub Recent Developments
11.9 BigHand
11.9.1 BigHand Company Details
11.9.2 BigHand Business Overview
11.9.3 BigHand Deep Learning Software Introduction
11.9.4 BigHand Revenue in Deep Learning Software Business (2019-2024)
11.9.5 BigHand Recent Developments
11.10 TRINT
11.10.1 TRINT Company Details
11.10.2 TRINT Business Overview
11.10.3 TRINT Deep Learning Software Introduction
11.10.4 TRINT Revenue in Deep Learning Software Business (2019-2024)
11.10.5 TRINT Recent Developments
11.11 NVIDIA
11.11.1 NVIDIA Company Details
11.11.2 NVIDIA Business Overview
11.11.3 NVIDIA Deep Learning Software Introduction
11.11.4 NVIDIA Revenue in Deep Learning Software Business (2019-2024)
11.11.5 NVIDIA Recent Developments
11.12 Sight Machine
11.12.1 Sight Machine Company Details
11.12.2 Sight Machine Business Overview
11.12.3 Sight Machine Deep Learning Software Introduction
11.12.4 Sight Machine Revenue in Deep Learning Software Business (2019-2024)
11.12.5 Sight Machine Recent Developments
11.13 Alibaba
11.13.1 Alibaba Company Details
11.13.2 Alibaba Business Overview
11.13.3 Alibaba Deep Learning Software Introduction
11.13.4 Alibaba Revenue in Deep Learning Software Business (2019-2024)
11.13.5 Alibaba Recent Developments
11.14 Hive
11.14.1 Hive Company Details
11.14.2 Hive Business Overview
11.14.3 Hive Deep Learning Software Introduction
11.14.4 Hive Revenue in Deep Learning Software Business (2019-2024)
11.14.5 Hive Recent Developments
11.15 Harris Geospatial Solutions
11.15.1 Harris Geospatial Solutions Company Details
11.15.2 Harris Geospatial Solutions Business Overview
11.15.3 Harris Geospatial Solutions Deep Learning Software Introduction
11.15.4 Harris Geospatial Solutions Revenue in Deep Learning Software Business (2019-2024)
11.15.5 Harris Geospatial Solutions Recent Developments
11.16 SAS Institute
11.16.1 SAS Institute Company Details
11.16.2 SAS Institute Business Overview
11.16.3 SAS Institute Deep Learning Software Introduction
11.16.4 SAS Institute Revenue in Deep Learning Software Business (2019-2024)
11.16.5 SAS Institute Recent Developments
11.17 IMC
11.17.1 IMC Company Details
11.17.2 IMC Business Overview
11.17.3 IMC Deep Learning Software Introduction
11.17.4 IMC Revenue in Deep Learning Software Business (2019-2024)
11.17.5 IMC Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Microsoft
Google
IBM
Amazon Web Services
Nuance Communications
NCH Software
Clarifai
GitHub
BigHand
TRINT
NVIDIA
Sight Machine
Alibaba
Hive
Harris Geospatial Solutions
SAS Institute
IMC
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*If Applicable.
