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Neural Network-Global Market Insights and Sales Trends 2024
Synopsis
Neural network is a form of artificial intelligence, which involves a series of algorithms used to understand the relationship between datasets and to obtain desired output.This network implements a process, which is designed to incorporate the functionalities of human brain through a variety of deep learning technologies and to solve complex pattern recognition or signal processing problems.
The global Neural Network market size is expected to reach US$ 31710 million by 2029, growing at a CAGR of 15.9% from 2023 to 2029. The market is mainly driven by the significant applications of Neural Network in various end use industries. The expanding demands from the Large Enterprised and SMEs, are propelling Neural Network market. On-Premises, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Cloud Based segment is estimated at % CAGR for the next seven-year period.
The growth of the neural network market is driven by growth in demand for cloud-based solutions, demand for spatial data & analytical tools, and increase in market prediction solutions.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Neural Network, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Neural Network market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Neural Network market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Neural Network sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Neural Network covered in this report include GMDH, Artificial Intelligence Techniques, Oracle, IBM, Microsoft, Intel, AWS, NVIDIA and TFLearn, etc.
The global Neural Network market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
GMDH
Artificial Intelligence Techniques
Oracle
IBM
Microsoft
Intel
AWS
NVIDIA
TFLearn
Global Neural Network market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Neural Network market, Segment by Type:
On-Premises
Cloud Based
Global Neural Network market, by Application
Large Enterprised
SMEs
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Neural Network companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Neural network is a form of artificial intelligence, which involves a series of algorithms used to understand the relationship between datasets and to obtain desired output.This network implements a process, which is designed to incorporate the functionalities of human brain through a variety of deep learning technologies and to solve complex pattern recognition or signal processing problems.
The global Neural Network market size is expected to reach US$ 31710 million by 2029, growing at a CAGR of 15.9% from 2023 to 2029. The market is mainly driven by the significant applications of Neural Network in various end use industries. The expanding demands from the Large Enterprised and SMEs, are propelling Neural Network market. On-Premises, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Cloud Based segment is estimated at % CAGR for the next seven-year period.
The growth of the neural network market is driven by growth in demand for cloud-based solutions, demand for spatial data & analytical tools, and increase in market prediction solutions.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Neural Network, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Neural Network market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Neural Network market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Neural Network sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Neural Network covered in this report include GMDH, Artificial Intelligence Techniques, Oracle, IBM, Microsoft, Intel, AWS, NVIDIA and TFLearn, etc.
The global Neural Network market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
GMDH
Artificial Intelligence Techniques
Oracle
IBM
Microsoft
Intel
AWS
NVIDIA
TFLearn
Global Neural Network market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Neural Network market, Segment by Type:
On-Premises
Cloud Based
Global Neural Network market, by Application
Large Enterprised
SMEs
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Neural Network companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Index1 Market Overview of Neural Network
1.1 Neural Network Market Overview
1.1.1 Neural Network Product Scope
1.1.2 Neural Network Market Status and Outlook
1.2 Global Neural Network Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Neural Network Market Size by Region (2018-2029)
1.4 Global Neural Network Historic Market Size by Region (2018-2023)
1.5 Global Neural Network Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Neural Network Market Size (2018-2029)
1.6.1 North America Neural Network Market Size (2018-2029)
1.6.2 Europe Neural Network Market Size (2018-2029)
1.6.3 Asia-Pacific Neural Network Market Size (2018-2029)
1.6.4 Latin America Neural Network Market Size (2018-2029)
1.6.5 Middle East & Africa Neural Network Market Size (2018-2029)
2 Neural Network Market by Type
2.1 Introduction
2.1.1 On-Premises
2.1.2 Cloud Based
2.2 Global Neural Network Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Neural Network Historic Market Size by Type (2018-2023)
2.2.2 Global Neural Network Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Neural Network Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Neural Network Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Neural Network Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Neural Network Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Neural Network Revenue Breakdown by Type (2018-2029)
3 Neural Network Market Overview by Application
3.1 Introduction
3.1.1 Large Enterprised
3.1.2 SMEs
3.2 Global Neural Network Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Neural Network Historic Market Size by Application (2018-2023)
3.2.2 Global Neural Network Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Neural Network Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Neural Network Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Neural Network Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Neural Network Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Neural Network Revenue Breakdown by Application (2018-2029)
4 Neural Network Competition Analysis by Players
4.1 Global Neural Network Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Neural Network as of 2022)
4.3 Date of Key Players Enter into Neural Network Market
4.4 Global Top Players Neural Network Headquarters and Area Served
4.5 Key Players Neural Network Product Solution and Service
4.6 Competitive Status
4.6.1 Neural Network Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 GMDH
5.1.1 GMDH Profile
5.1.2 GMDH Main Business
5.1.3 GMDH Neural Network Products, Services and Solutions
5.1.4 GMDH Neural Network Revenue (US$ Million) & (2018-2023)
5.1.5 GMDH Recent Developments
5.2 Artificial Intelligence Techniques
5.2.1 Artificial Intelligence Techniques Profile
5.2.2 Artificial Intelligence Techniques Main Business
5.2.3 Artificial Intelligence Techniques Neural Network Products, Services and Solutions
5.2.4 Artificial Intelligence Techniques Neural Network Revenue (US$ Million) & (2018-2023)
5.2.5 Artificial Intelligence Techniques Recent Developments
5.3 Oracle
5.3.1 Oracle Profile
5.3.2 Oracle Main Business
5.3.3 Oracle Neural Network Products, Services and Solutions
5.3.4 Oracle Neural Network Revenue (US$ Million) & (2018-2023)
5.3.5 IBM Recent Developments
5.4 IBM
5.4.1 IBM Profile
5.4.2 IBM Main Business
5.4.3 IBM Neural Network Products, Services and Solutions
5.4.4 IBM Neural Network Revenue (US$ Million) & (2018-2023)
5.4.5 IBM Recent Developments
5.5 Microsoft
5.5.1 Microsoft Profile
5.5.2 Microsoft Main Business
5.5.3 Microsoft Neural Network Products, Services and Solutions
5.5.4 Microsoft Neural Network Revenue (US$ Million) & (2018-2023)
5.5.5 Microsoft Recent Developments
5.6 Intel
5.6.1 Intel Profile
5.6.2 Intel Main Business
5.6.3 Intel Neural Network Products, Services and Solutions
5.6.4 Intel Neural Network Revenue (US$ Million) & (2018-2023)
5.6.5 Intel Recent Developments
5.7 AWS
5.7.1 AWS Profile
5.7.2 AWS Main Business
5.7.3 AWS Neural Network Products, Services and Solutions
5.7.4 AWS Neural Network Revenue (US$ Million) & (2018-2023)
5.7.5 AWS Recent Developments
5.8 NVIDIA
5.8.1 NVIDIA Profile
5.8.2 NVIDIA Main Business
5.8.3 NVIDIA Neural Network Products, Services and Solutions
5.8.4 NVIDIA Neural Network Revenue (US$ Million) & (2018-2023)
5.8.5 NVIDIA Recent Developments
5.9 TFLearn
5.9.1 TFLearn Profile
5.9.2 TFLearn Main Business
5.9.3 TFLearn Neural Network Products, Services and Solutions
5.9.4 TFLearn Neural Network Revenue (US$ Million) & (2018-2023)
5.9.5 TFLearn Recent Developments
6 North America
6.1 North America Neural Network Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Neural Network Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Neural Network Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Neural Network Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Neural Network Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Neural Network Market Dynamics
11.1 Neural Network Industry Trends
11.2 Neural Network Market Drivers
11.3 Neural Network Market Challenges
11.4 Neural Network Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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