Global Artificial Neural Network Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2023 to 2030

Description

List of Tables

The global demand for Artificial Neural Network Market is presumed to reach the market size of nearly USD 1010.13 MN by 2030 from USD 211.44 MN in 2022 with a CAGR of 21.59% under the study period 2023 - 2030.

An artificial neural network or ANN is a computational framework that draws inspiration from the structure and operations of neural networks found in the human brain. It's a machine learning technique designed to solve complex problems by processing information in a manner akin to the way biological neural networks function.

MARKET DYNAMICS

Technological advancements, especially in computational power, enable the development of larger and more sophisticated neural networks. This progress, coupled with the abundant availability of data, facilitates the training of highly accurate artificial neural networks, fostering market expansion. Increased demand for AI solutions across industries fuels its adoption. Their applications in healthcare, finance, manufacturing, and more address complex problems, driving market growth. Furthermore, advancements in Deep Learning, a subset of machine learning, leverage multi-layered neural networks, enhancing ANN adoption due to their capability to learn intricate patterns. Artificial neural networks' diverse applications in image and speech recognition, NLP, and autonomous vehicles cater to industry-specific needs, further propelling market demand. Investments in AI research, coupled with the rapid adoption of AI-driven solutions by businesses seeking efficiency and competitive edges, contribute significantly to market expansion. Efforts to improve the scalability, efficiency, and performance of ANNs through optimizations in algorithms and architectures further drive their widespread adoption, solidifying artificial neural networks as integral components of AI solutions across diverse industries.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of artificial neural network. The growth and trends of artificial neural network industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the artificial neural network market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

Solutions
Platform/ApI
Services (Managed Services, Professional Services (Consulting Services, Deployment And Integration, Support And Maintenance Services))

By Application

Image Recognition
Signal Recognition
Data Mining
Others (Recommender System And Drug Discovery)

By Deployment Mode

On-Premises
Cloud

By Industry Vertical

Banking, Financial Services, And Insurance (BFSI)
Retail And Ecommerce
Telecommunication And Information Technology (IT)
Healthcare And Life Sciences
Manufacturing
Government And Defense
Transportation And Logistics
Others (Media And Entertainment, Travel And Hospitality, And Education)

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Artificial Neural Network market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Artificial Neural Network market include Google (US), IBM (US), Oracle (US), Microsoft (US), Intel (US), Qualcomm (US), Alyuda (US), Ward Systems (US), GMDH, LLC (US), Starmind (Switzerland), NeuralWare (US), Neurala (US), and Clarifai (US). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

Product Code: VMR112113055

1 . PREFACE

1.1. Report Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3 . ARTIFICIAL NEURAL NETWORK - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Application
- 3.7.3 Market Attractiveness Analysis By Deployment Mode
- 3.7.4 Market Attractiveness Analysis By Industry Vertical
- 3.7.5 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend

5 . GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY COMPONENT

5.1 Overview by Component
5.2 Historical and Forecast Data
5.3 Analysis by Component
5.4 Solutions Historic and Forecast Sales by Regions
5.5 Platform/API Historic and Forecast Sales by Regions
5.6 Services (Managed Services, Professional Services (Consulting Services, Deployment And Integration, Support And Maintenance Services)) Historic and Forecast Sales by Regions

6 . GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY APPLICATION

6.1 Overview by Application
6.2 Historical and Forecast Data
6.3 Analysis by Application
6.4 Image Recognition Historic and Forecast Sales by Regions
6.5 Signal Recognition Historic and Forecast Sales by Regions
6.6 Data Mining Historic and Forecast Sales by Regions
6.7 Others (Recommender System And Drug Discovery) Historic and Forecast Sales by Regions

7 . GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY DEPLOYMENT MODE

7.1 Overview by Deployment Mode
7.2 Historical and Forecast Data
7.3 Analysis by Deployment Mode
7.4 On-premises Historic and Forecast Sales by Regions
7.5 Cloud Historic and Forecast Sales by Regions

8 . GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY INDUSTRY VERTICAL

8.1 Overview by Industry Vertical
8.2 Historical and Forecast Data
8.3 Analysis by Industry Vertical
8.4 Banking, Financial Services, And Insurance (BFSI) Historic and Forecast Sales by Regions
8.5 Retail And Ecommerce Historic and Forecast Sales by Regions
8.6 Telecommunication And Information Technology (IT) Historic and Forecast Sales by Regions
8.7 Healthcare And Life Sciences Historic and Forecast Sales by Regions
8.8 Manufacturing Historic and Forecast Sales by Regions
8.9 Government And Defense Historic and Forecast Sales by Regions
8.10. Transportation And Logistics Historic and Forecast Sales by Regions
8.11 Others (Media And Entertainment, Travel And Hospitality, And Education) Historic and Forecast Sales by Regions

9 . GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY GEOGRAPHY

9.1. Regional Outlook
9.2. Introduction
9.3. North America Sales Analysis
- 9.3.1. Overview, Historic and Forecast Data Sales Analysis
- 9.3.2. North America By Segment Sales Analysis
- 9.3.3. North America By Country Sales Analysis
- 9.3.4. United State Sales Analysis
- 9.3.5. Canada Sales Analysis
- 9.3.6. Mexico Sales Analysis
9.4. Europe Sales Analysis
- 9.4.1. Overview, Historic and Forecast Data Sales Analysis
- 9.4.2. Europe by Segment Sales Analysis
- 9.4.3. Europe by Country Sales Analysis
- 9.4.4. United Kingdom Sales Analysis
- 9.4.5. France Sales Analysis
- 9.4.6. Germany Sales Analysis
- 9.4.7. Italy Sales Analysis
- 9.4.8. Russia Sales Analysis
- 9.4.9. Rest Of Europe Sales Analysis
9.5. Asia Pacific Sales Analysis
- 9.5.1. Overview, Historic and Forecast Data Sales Analysis
- 9.5.2. Asia Pacific by Segment Sales Analysis
- 9.5.3. Asia Pacific by Country Sales Analysis
- 9.5.4. China Sales Analysis
- 9.5.5. India Sales Analysis
- 9.5.6. Japan Sales Analysis
- 9.5.7. South Korea Sales Analysis
- 9.5.8. Australia Sales Analysis
- 9.5.9. South East Asia Sales Analysis
- 9.5.10. Rest Of Asia Pacific Sales Analysis
9.6. Latin America Sales Analysis
- 9.6.1. Overview, Historic and Forecast Data Sales Analysis
- 9.6.2. Latin America by Segment Sales Analysis
- 9.6.3. Latin America by Country Sales Analysis
- 9.6.4. Brazil Sales Analysis
- 9.6.5. Argentina Sales Analysis
- 9.6.6. Peru Sales Analysis
- 9.6.7. Chile Sales Analysis
- 9.6.8. Rest of Latin America Sales Analysis
9.7. Middle East & Africa Sales Analysis
- 9.7.1. Overview, Historic and Forecast Data Sales Analysis
- 9.7.2. Middle East & Africa by Segment Sales Analysis
- 9.7.3. Middle East & Africa by Country Sales Analysis
- 9.7.4. Saudi Arabia Sales Analysis
- 9.7.5. UAE Sales Analysis
- 9.7.6. Israel Sales Analysis
- 9.7.7. South Africa Sales Analysis
- 9.7.8. Rest Of Middle East And Africa Sales Analysis

10 . COMPETITIVE LANDSCAPE OF THE ARTIFICIAL NEURAL NETWORK COMPANIES

10.1. Artificial Neural Network Market Competition
10.2. Partnership/Collaboration/Agreement
10.3. Merger And Acquisitions
10.4. New Product Launch
10.5. Other Developments

11 . COMPANY PROFILES OF ARTIFICIAL NEURAL NETWORK INDUSTRY

11.1. Company Share Analysis
11.2. Market Concentration Rate
11.3. Google (US)
- 11.3.1. Company Overview
- 11.3.2. Company Revenue
- 11.3.3. Products
- 11.3.4. Recent Developments
11.4. IBM (US)
- 11.4.1. Company Overview
- 11.4.2. Company Revenue
- 11.4.3. Products
- 11.4.4. Recent Developments
11.5. Oracle (US)
- 11.5.1. Company Overview
- 11.5.2. Company Revenue
- 11.5.3. Products
- 11.5.4. Recent Developments
11.6. Microsoft (US)
- 11.6.1. Company Overview
- 11.6.2. Company Revenue
- 11.6.3. Products
- 11.6.4. Recent Developments
11.7. Intel (US)
- 11.7.1. Company Overview
- 11.7.2. Company Revenue
- 11.7.3. Products
- 11.7.4. Recent Developments
11.8. Qualcomm (US)
- 11.8.1. Company Overview
- 11.8.2. Company Revenue
- 11.8.3. Products
- 11.8.4. Recent Developments
11.9. Alyuda (US)
- 11.9.1. Company Overview
- 11.9.2. Company Revenue
- 11.9.3. Products
- 11.9.4. Recent Developments
11.10. Ward Systems (US)
- 11.10.1. Company Overview
- 11.10.2. Company Revenue
- 11.10.3. Products
- 11.10.4. Recent Developments
11.11. GMDH LLC (US)
- 11.11.1. Company Overview
- 11.11.2. Company Revenue
- 11.11.3. Products
- 11.11.4. Recent Developments
11.12. Starmind (Switzerland)
- 11.12.1. Company Overview
- 11.12.2. Company Revenue
- 11.12.3. Products
- 11.12.4. Recent Developments
11.13. NeuralWare (US)
- 11.13.1. Company Overview
- 11.13.2. Company Revenue
- 11.13.3. Products
- 11.13.4. Recent Developments
11.14. Neurala (US)
- 11.14.1. Company Overview
- 11.14.2. Company Revenue
- 11.14.3. Products
- 11.14.4. Recent Developments
11.15. Clarifai (US)
- 11.15.1. Company Overview
- 11.15.2. Company Revenue
- 11.15.3. Products
- 11.15.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies