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Global Artificial Neural Network Software Market Research Report 2024

Global Artificial Neural Network Software Market Research Report 2024

Publishing Date : Jan, 2024

License Type :
 

Report Code : 1720186

No of Pages : 89

Synopsis

An artificial neural network is a biologically inspired computational model that is patterned after the network of neurons present in the human brain. Artificial neural networks can also be thought of as learning algorithms that model the input-output relationship.

The global Artificial Neural Network Software market was valued at US$ 185 million in 2023 and is anticipated to reach US$ 1254 million by 2030, witnessing a CAGR of 30.5% during the forecast period 2024-2030.

Growing demand for AI solutions: The demand for AI solutions is growing across various industry verticals, including healthcare, finance, retail, and manufacturing. This demand is primarily driven by the need for efficient decision-making, increased productivity, and improved customer experience.

Increasing use of AI-powered assistants: With the rise in the use of AI-powered assistants like Siri, Alexa, and Google Assistant, the demand for AI software that can power such assistants is increasing. These assistants are being used for a wide range of tasks, including scheduling appointments, answering general queries, and making purchases.

This report aims to provide a comprehensive presentation of the global market for Artificial Neural Network 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 Artificial Neural Network Software.

Report Scope

The Artificial Neural Network 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 Artificial Neural Network 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 Artificial Neural Network 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

  • GMDH
  • Artificial Intelligence Techniques
  • Oracle
  • IBM
  • Microsoft
  • Intel
  • AWS
  • NVIDIA
  • TFLearn
  • Keras

Segment by Type

  • On-Premises
  • Cloud Based

Segment by Application

  • Large Enterprises
  • SMEs

By Region

  • North America (United States, Canada)
  • Europe (Germany, France, U.K., Italy, Russia)
  • Asia-Pacific (China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia)
  • Latin America (Mexico, Brazil, Argentina)
  • Middle East & Africa (Turkey, Saudi Arabia, UAE)

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 Artificial Neural Network Software companies’ 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.

Index

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Neural Network Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premises
1.2.3 Cloud Based
1.3 Market by Application
1.3.1 Global Artificial Neural Network 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 Artificial Neural Network Software Market Perspective (2019-2030)
2.2 Artificial Neural Network Software Growth Trends by Region
2.2.1 Global Artificial Neural Network Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Neural Network Software Historic Market Size by Region (2019-2024)
2.2.3 Artificial Neural Network Software Forecasted Market Size by Region (2025-2030)
2.3 Artificial Neural Network Software Market Dynamics
2.3.1 Artificial Neural Network Software Industry Trends
2.3.2 Artificial Neural Network Software Market Drivers
2.3.3 Artificial Neural Network Software Market Challenges
2.3.4 Artificial Neural Network Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Neural Network Software Players by Revenue
3.1.1 Global Top Artificial Neural Network Software Players by Revenue (2019-2024)
3.1.2 Global Artificial Neural Network Software Revenue Market Share by Players (2019-2024)
3.2 Global Artificial Neural Network Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Neural Network Software Revenue
3.4 Global Artificial Neural Network Software Market Concentration Ratio
3.4.1 Global Artificial Neural Network Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Neural Network Software Revenue in 2023
3.5 Artificial Neural Network Software Key Players Head office and Area Served
3.6 Key Players Artificial Neural Network Software Product Solution and Service
3.7 Date of Enter into Artificial Neural Network Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Neural Network Software Breakdown Data by Type
4.1 Global Artificial Neural Network Software Historic Market Size by Type (2019-2024)
4.2 Global Artificial Neural Network Software Forecasted Market Size by Type (2025-2030)
5 Artificial Neural Network Software Breakdown Data by Application
5.1 Global Artificial Neural Network Software Historic Market Size by Application (2019-2024)
5.2 Global Artificial Neural Network Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Artificial Neural Network Software Market Size (2019-2030)
6.2 North America Artificial Neural Network Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Neural Network Software Market Size by Country (2019-2024)
6.4 North America Artificial Neural Network Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Neural Network Software Market Size (2019-2030)
7.2 Europe Artificial Neural Network Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Neural Network Software Market Size by Country (2019-2024)
7.4 Europe Artificial Neural Network 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 Artificial Neural Network Software Market Size (2019-2030)
8.2 Asia-Pacific Artificial Neural Network Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Neural Network Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Neural Network 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 Artificial Neural Network Software Market Size (2019-2030)
9.2 Latin America Artificial Neural Network Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Neural Network Software Market Size by Country (2019-2024)
9.4 Latin America Artificial Neural Network Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Neural Network Software Market Size (2019-2030)
10.2 Middle East & Africa Artificial Neural Network Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Neural Network Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Neural Network Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 GMDH
11.1.1 GMDH Company Detail
11.1.2 GMDH Business Overview
11.1.3 GMDH Artificial Neural Network Software Introduction
11.1.4 GMDH Revenue in Artificial Neural Network Software Business (2019-2024)
11.1.5 GMDH Recent Development
11.2 Artificial Intelligence Techniques
11.2.1 Artificial Intelligence Techniques Company Detail
11.2.2 Artificial Intelligence Techniques Business Overview
11.2.3 Artificial Intelligence Techniques Artificial Neural Network Software Introduction
11.2.4 Artificial Intelligence Techniques Revenue in Artificial Neural Network Software Business (2019-2024)
11.2.5 Artificial Intelligence Techniques Recent Development
11.3 Oracle
11.3.1 Oracle Company Detail
11.3.2 Oracle Business Overview
11.3.3 Oracle Artificial Neural Network Software Introduction
11.3.4 Oracle Revenue in Artificial Neural Network Software Business (2019-2024)
11.3.5 Oracle Recent Development
11.4 IBM
11.4.1 IBM Company Detail
11.4.2 IBM Business Overview
11.4.3 IBM Artificial Neural Network Software Introduction
11.4.4 IBM Revenue in Artificial Neural Network Software Business (2019-2024)
11.4.5 IBM Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Detail
11.5.2 Microsoft Business Overview
11.5.3 Microsoft Artificial Neural Network Software Introduction
11.5.4 Microsoft Revenue in Artificial Neural Network Software Business (2019-2024)
11.5.5 Microsoft Recent Development
11.6 Intel
11.6.1 Intel Company Detail
11.6.2 Intel Business Overview
11.6.3 Intel Artificial Neural Network Software Introduction
11.6.4 Intel Revenue in Artificial Neural Network Software Business (2019-2024)
11.6.5 Intel Recent Development
11.7 AWS
11.7.1 AWS Company Detail
11.7.2 AWS Business Overview
11.7.3 AWS Artificial Neural Network Software Introduction
11.7.4 AWS Revenue in Artificial Neural Network Software Business (2019-2024)
11.7.5 AWS Recent Development
11.8 NVIDIA
11.8.1 NVIDIA Company Detail
11.8.2 NVIDIA Business Overview
11.8.3 NVIDIA Artificial Neural Network Software Introduction
11.8.4 NVIDIA Revenue in Artificial Neural Network Software Business (2019-2024)
11.8.5 NVIDIA Recent Development
11.9 TFLearn
11.9.1 TFLearn Company Detail
11.9.2 TFLearn Business Overview
11.9.3 TFLearn Artificial Neural Network Software Introduction
11.9.4 TFLearn Revenue in Artificial Neural Network Software Business (2019-2024)
11.9.5 TFLearn Recent Development
11.10 Keras
11.10.1 Keras Company Detail
11.10.2 Keras Business Overview
11.10.3 Keras Artificial Neural Network Software Introduction
11.10.4 Keras Revenue in Artificial Neural Network Software Business (2019-2024)
11.10.5 Keras 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

Published By : QY Research

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