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Home > Global Deep Learning Software Market Research Report 2024

Global Deep Learning Software Market Research Report 2024

Publication ID: 
PB502246467
Publication Date: 
March 7, 2024
Pages: 
96
Publisher: 
MRRPB5
Countries: 
Global [1]
USD 2,900.00

Please choose the suitable license type from above. More details are given under tab "Report License Types" below.

IT Services [2]
Computing & Electronics [3]
Description: 

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.

The global Deep Learning Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.

North American market for Deep Learning Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

Asia-Pacific market for Deep Learning Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The global market for Deep Learning Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The major global companies of Deep Learning Software include Microsoft, Google, IBM, Amazon Web Services, Nuance Communications, NCH Software, Clarifai, GitHub and BigHand, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.

This report aims to provide a comprehensive presentation of the global market for Deep Learning Software, 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.

Report Scope

The Deep Learning Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Deep Learning Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Deep Learning Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

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

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

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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: Introduces executive summary of global market size, regional market size, 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, latest development plan, merger, and acquisition information, etc.

Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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.

Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.

Chapter 12: The main points and conclusions of the report.

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

Table Of Contents: 

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 Growth by Application: 2019 VS 2023 VS 2030

1.3.2 Large Enterprises

1.3.3 SMEs

1.4 Study Objectives

1.5 Years Considered

1.6 Years Considered

2 Global Growth Trends

2.1 Global Deep Learning Software Market Perspective (2019-2030)

2.2 Deep Learning Software Growth Trends by Region

2.2.1 Global 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 Top Deep Learning Software Players by Revenue

3.1.1 Global Top Deep Learning Software Players by Revenue (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 Players Covered: Ranking by Deep Learning Software Revenue

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 Deep Learning Software Key Players Head office and Area Served

3.6 Key Players Deep Learning Software Product Solution and Service

3.7 Date of Enter into Deep Learning Software Market

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 Growth Rate by Country: 2019 VS 2023 VS 2030

6.3 North America Deep Learning Software Market Size by Country (2019-2024)

6.4 North America Deep Learning Software Market Size by Country (2025-2030)

6.5 United States

6.6 Canada

7 Europe

7.1 Europe Deep Learning Software Market Size (2019-2030)

7.2 Europe Deep Learning Software Market Growth Rate by Country: 2019 VS 2023 VS 2030

7.3 Europe Deep Learning Software Market Size by Country (2019-2024)

7.4 Europe Deep Learning Software Market Size by Country (2025-2030)

7.5 Germany

7.6 France

7.7 U.K.

7.8 Italy

7.9 Russia

7.10 Nordic Countries

8 Asia-Pacific

8.1 Asia-Pacific Deep Learning Software Market Size (2019-2030)

8.2 Asia-Pacific Deep Learning Software Market Growth Rate by Region: 2019 VS 2023 VS 2030

8.3 Asia-Pacific Deep Learning Software Market Size by Region (2019-2024)

8.4 Asia-Pacific Deep Learning Software Market Size by Region (2025-2030)

8.5 China

8.6 Japan

8.7 South Korea

8.8 Southeast Asia

8.9 India

8.10 Australia

9 Latin America

9.1 Latin America Deep Learning Software Market Size (2019-2030)

9.2 Latin America Deep Learning Software Market Growth Rate by Country: 2019 VS 2023 VS 2030

9.3 Latin America Deep Learning Software Market Size by Country (2019-2024)

9.4 Latin America Deep Learning Software Market Size by Country (2025-2030)

9.5 Mexico

9.6 Brazil

10 Middle East & Africa

10.1 Middle East & Africa Deep Learning Software Market Size (2019-2030)

10.2 Middle East & Africa Deep Learning Software Market Growth Rate by Country: 2019 VS 2023 VS 2030

10.3 Middle East & Africa Deep Learning Software Market Size by Country (2019-2024)

10.4 Middle East & Africa Deep Learning Software Market Size by Country (2025-2030)

10.5 Turkey

10.6 Saudi Arabia

10.7 UAE

11 Key Players Profiles

11.1 Microsoft

11.1.1 Microsoft Company Detail

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 Development

11.2 Google

11.2.1 Google Company Detail

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 Development

11.3 IBM

11.3.1 IBM Company Detail

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 Development

11.4 Amazon Web Services

11.4.1 Amazon Web Services Company Detail

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 Development

11.5 Nuance Communications

11.5.1 Nuance Communications Company Detail

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 Development

11.6 NCH Software

11.6.1 NCH Software Company Detail

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 Development

11.7 Clarifai

11.7.1 Clarifai Company Detail

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 Development

11.8 GitHub

11.8.1 GitHub Company Detail

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 Development

11.9 BigHand

11.9.1 BigHand Company Detail

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 Development

11.10 TRINT

11.10.1 TRINT Company Detail

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 Development

11.11 NVIDIA

11.11.1 NVIDIA Company Detail

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 Development

11.12 Sight Machine

11.12.1 Sight Machine Company Detail

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 Development

11.13 Alibaba

11.13.1 Alibaba Company Detail

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 Development

11.14 Hive

11.14.1 Hive Company Detail

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 Development

11.15 Harris Geospatial Solutions

11.15.1 Harris Geospatial Solutions Company Detail

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 Development

11.16 SAS Institute

11.16.1 SAS Institute Company Detail

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 Development

11.17 IMC

11.17.1 IMC Company Detail

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 Development

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

Companies Mentioned: 

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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