Summary

Artificial neural networks contain artificial neurons which are called units. These units are arranged in a series of layers that together constitute the whole artificial neural network in a system. A layer can have only a dozen units or millions of units as this depends on how the complex neural networks will be required to learn the hidden patterns in the dataset.
The report covers the study of the artificial neural network market along with its component, deployment mode, enterprise size, and industry. The research involves a study of artificial neural network solutions, which includes revenue realized from the sale of commercial licenses as well as revenue realized from the upgrade charges of open-source artificial neural network solutions. The applications of the artificial neural network solutions considered in the report are image recognition, fraud detection, and data mining processes.

Furthermore, the market is profoundly influenced by considerable expenses related to artificial neural network solutions and services. Primarily, these expenses can serve as a deterrent for smaller and medium-sized enterprises (SMEs) with constrained budgets. SMEs may perceive artificial neural networks as a financial burden, leading to insufficient investment in these solutions. In addition, even larger organizations may exhibit hesitation in allocating substantial resources to artificial neural network solutions, particularly when faced with competing budgetary demands. Moreover, excessive costs associated with artificial neural network solutions may hinder the adoption of global market in industries or regions where there is limited awareness of its benefits.

Furthermore, The notable factors positively affecting the artificial neural network market include the growing demand for AI-based solutions and the rising need for intelligent business processes. However, a lack of computational resources and a skilled workforce with expertise in artificial neural network (ANN) can hinder market growth. Furthermore, advancements in big data analytics and the availability of high-performance computing systems offer lucrative market opportunities for the market players.
The global artificial neural network market is segmented on the basis of component, deployment mode, enterprise size, industry, and region. By component, it is categorized into solution and services. On the basis of deployment mode, it is divided into on-premise and cloud. As per enterprise size, it is segmented into large enterprises and small and medium-sized enterprises. Depending on industry, it is categorized into healthcare, BFSI, retail and e-commerce, manufacturing, automotive, and others. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The market players operating in the global Artificial neural network market. This report further outlines the current trends and key areas of investment. In addition, it includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder. The report features the strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of key market players to increase their market share and sustain intense competition in the industry. The key players operating in the market include Amazon Web Services Inc., Google Inc., Hewlett Packard Enterprise Development LP, IBM Corporation, Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Qualcomm Technologies Inc. and Salesforce Inc.

Key Benefits For Stakeholders
●This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the artificial neural network market analysis from 2022 to 2032 to identify the prevailing artificial neural network market opportunities.
●The market research is offered along with information related to key drivers, restraints, and opportunities.
●Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
●In-depth analysis of the artificial neural network market segmentation assists to determine the prevailing market opportunities.
●Major countries in each region are mapped according to their revenue contribution to the global market.
●Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
●The report includes the analysis of the regional as well as global artificial neural network market trends, key players, market segments, application areas, and market growth strategies.

Additional benefits you will get with this purchase are:
● Quarterly Update and* (only available with a corporate license, on listed price)
● 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
● Free Upcoming Version on the Purchase of Five and Enterprise User License.
● 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
● 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
● Free data Pack on the Five and Enterprise User License. (Excel version of the report)
● Free Updated report if the report is 6-12 months old or older.
● 24-hour priority response*
● Free Industry updates and white papers.

Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)
● Investment Opportunities
● Product Benchmarking / Product specification and applications
● Market share analysis of players by products/segments
● New Product Development/ Product Matrix of Key Players
● Regulatory Guidelines
● Additional company profiles with specific to client's interest
● Additional country or region analysis- market size and forecast
● Historic market data
● Key player details (including location, contact details, supplier/vendor network etc. in excel format)
● Market share analysis of players at global/region/country level
Key Market Segments
By Component
● Solution
● Services
By Deployment Mode
● On-premise
● Cloud
By Enterprise Size
● Large Enterprises
● SMEs
By Industry
● Healthcare
● BFSI
● Retail and E-Commerce
● Manufacturing
● Automotive
● Others
By Region
● North America
○ U.S.
○ Canada
● Europe
○ UK
○ Germany
○ France
○ Italy
○ Spain
○ Rest of Europe
● Asia-Pacific
○ China
○ India
○ Japan
○ Australia
○ South Korea
○ Rest of Asia-Pacific
● LAMEA
○ Latin America
○ Middle East
○ Africa
● Key Market Players
○ Google Inc.
○ IBM Corporation
○ Intel Corporation
○ Microsoft Corporation
○ Oracle Corporation
○ Qualcomm Technologies Inc.
○ Amazon Web Services Inc.
○ Hewlett Packard Enterprise Development LP
○ NVIDIA Corporation
○ Salesforce Inc.,

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Table of Contents

CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO Perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.3. Porter’s five forces analysis
3.3.1. Low bargaining power of suppliers
3.3.2. Low threat of new entrants
3.3.3. Low threat of substitutes
3.3.4. Low intensity of rivalry
3.3.5. Low bargaining power of buyers
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Growing demand for AI-based solutions
3.4.1.2. Rising need for intelligent business processes
3.4.2. Restraints
3.4.2.1. Lack of computational resources and skilled workforce with expertise in ANN
3.4.3. Opportunities
3.4.3.1. Advancements in big data analytics
3.4.3.2. Availability of high-performance computing systems
CHAPTER 4: ARTIFICIAL NEURAL NETWORK MARKET, BY COMPONENT
4.1. Overview
4.1.1. Market size and forecast
4.2. Solution
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market share analysis by country
4.3. Services
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market share analysis by country
CHAPTER 5: ARTIFICIAL NEURAL NETWORK MARKET, BY DEPLOYMENT MODE
5.1. Overview
5.1.1. Market size and forecast
5.2. On-premise
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market share analysis by country
5.3. Cloud
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market share analysis by country
CHAPTER 6: ARTIFICIAL NEURAL NETWORK MARKET, BY ENTERPRISE SIZE
6.1. Overview
6.1.1. Market size and forecast
6.2. Large Enterprises
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market share analysis by country
6.3. SMEs
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market share analysis by country
CHAPTER 7: ARTIFICIAL NEURAL NETWORK MARKET, BY INDUSTRY
7.1. Overview
7.1.1. Market size and forecast
7.2. Healthcare
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market size and forecast, by region
7.2.3. Market share analysis by country
7.3. BFSI
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market size and forecast, by region
7.3.3. Market share analysis by country
7.4. Retail and E-Commerce
7.4.1. Key market trends, growth factors and opportunities
7.4.2. Market size and forecast, by region
7.4.3. Market share analysis by country
7.5. Manufacturing
7.5.1. Key market trends, growth factors and opportunities
7.5.2. Market size and forecast, by region
7.5.3. Market share analysis by country
7.6. Automotive
7.6.1. Key market trends, growth factors and opportunities
7.6.2. Market size and forecast, by region
7.6.3. Market share analysis by country
7.7. Others
7.7.1. Key market trends, growth factors and opportunities
7.7.2. Market size and forecast, by region
7.7.3. Market share analysis by country
CHAPTER 8: ARTIFICIAL NEURAL NETWORK MARKET, BY REGION
8.1. Overview
8.1.1. Market size and forecast By Region
8.2. North America
8.2.1. Key market trends, growth factors and opportunities
8.2.2. Market size and forecast, by Component
8.2.3. Market size and forecast, by Deployment Mode
8.2.4. Market size and forecast, by Enterprise Size
8.2.5. Market size and forecast, by Industry
8.2.6. Market size and forecast, by country
8.2.6.1. U.S.
8.2.6.1.1. Market size and forecast, by Component
8.2.6.1.2. Market size and forecast, by Deployment Mode
8.2.6.1.3. Market size and forecast, by Enterprise Size
8.2.6.1.4. Market size and forecast, by Industry
8.2.6.2. Canada
8.2.6.2.1. Market size and forecast, by Component
8.2.6.2.2. Market size and forecast, by Deployment Mode
8.2.6.2.3. Market size and forecast, by Enterprise Size
8.2.6.2.4. Market size and forecast, by Industry
8.3. Europe
8.3.1. Key market trends, growth factors and opportunities
8.3.2. Market size and forecast, by Component
8.3.3. Market size and forecast, by Deployment Mode
8.3.4. Market size and forecast, by Enterprise Size
8.3.5. Market size and forecast, by Industry
8.3.6. Market size and forecast, by country
8.3.6.1. UK
8.3.6.1.1. Market size and forecast, by Component
8.3.6.1.2. Market size and forecast, by Deployment Mode
8.3.6.1.3. Market size and forecast, by Enterprise Size
8.3.6.1.4. Market size and forecast, by Industry
8.3.6.2. Germany
8.3.6.2.1. Market size and forecast, by Component
8.3.6.2.2. Market size and forecast, by Deployment Mode
8.3.6.2.3. Market size and forecast, by Enterprise Size
8.3.6.2.4. Market size and forecast, by Industry
8.3.6.3. France
8.3.6.3.1. Market size and forecast, by Component
8.3.6.3.2. Market size and forecast, by Deployment Mode
8.3.6.3.3. Market size and forecast, by Enterprise Size
8.3.6.3.4. Market size and forecast, by Industry
8.3.6.4. Italy
8.3.6.4.1. Market size and forecast, by Component
8.3.6.4.2. Market size and forecast, by Deployment Mode
8.3.6.4.3. Market size and forecast, by Enterprise Size
8.3.6.4.4. Market size and forecast, by Industry
8.3.6.5. Spain
8.3.6.5.1. Market size and forecast, by Component
8.3.6.5.2. Market size and forecast, by Deployment Mode
8.3.6.5.3. Market size and forecast, by Enterprise Size
8.3.6.5.4. Market size and forecast, by Industry
8.3.6.6. Rest of Europe
8.3.6.6.1. Market size and forecast, by Component
8.3.6.6.2. Market size and forecast, by Deployment Mode
8.3.6.6.3. Market size and forecast, by Enterprise Size
8.3.6.6.4. Market size and forecast, by Industry
8.4. Asia-Pacific
8.4.1. Key market trends, growth factors and opportunities
8.4.2. Market size and forecast, by Component
8.4.3. Market size and forecast, by Deployment Mode
8.4.4. Market size and forecast, by Enterprise Size
8.4.5. Market size and forecast, by Industry
8.4.6. Market size and forecast, by country
8.4.6.1. China
8.4.6.1.1. Market size and forecast, by Component
8.4.6.1.2. Market size and forecast, by Deployment Mode
8.4.6.1.3. Market size and forecast, by Enterprise Size
8.4.6.1.4. Market size and forecast, by Industry
8.4.6.2. India
8.4.6.2.1. Market size and forecast, by Component
8.4.6.2.2. Market size and forecast, by Deployment Mode
8.4.6.2.3. Market size and forecast, by Enterprise Size
8.4.6.2.4. Market size and forecast, by Industry
8.4.6.3. Japan
8.4.6.3.1. Market size and forecast, by Component
8.4.6.3.2. Market size and forecast, by Deployment Mode
8.4.6.3.3. Market size and forecast, by Enterprise Size
8.4.6.3.4. Market size and forecast, by Industry
8.4.6.4. Australia
8.4.6.4.1. Market size and forecast, by Component
8.4.6.4.2. Market size and forecast, by Deployment Mode
8.4.6.4.3. Market size and forecast, by Enterprise Size
8.4.6.4.4. Market size and forecast, by Industry
8.4.6.5. South Korea
8.4.6.5.1. Market size and forecast, by Component
8.4.6.5.2. Market size and forecast, by Deployment Mode
8.4.6.5.3. Market size and forecast, by Enterprise Size
8.4.6.5.4. Market size and forecast, by Industry
8.4.6.6. Rest of Asia-Pacific
8.4.6.6.1. Market size and forecast, by Component
8.4.6.6.2. Market size and forecast, by Deployment Mode
8.4.6.6.3. Market size and forecast, by Enterprise Size
8.4.6.6.4. Market size and forecast, by Industry
8.5. LAMEA
8.5.1. Key market trends, growth factors and opportunities
8.5.2. Market size and forecast, by Component
8.5.3. Market size and forecast, by Deployment Mode
8.5.4. Market size and forecast, by Enterprise Size
8.5.5. Market size and forecast, by Industry
8.5.6. Market size and forecast, by country
8.5.6.1. Latin America
8.5.6.1.1. Market size and forecast, by Component
8.5.6.1.2. Market size and forecast, by Deployment Mode
8.5.6.1.3. Market size and forecast, by Enterprise Size
8.5.6.1.4. Market size and forecast, by Industry
8.5.6.2. Middle East
8.5.6.2.1. Market size and forecast, by Component
8.5.6.2.2. Market size and forecast, by Deployment Mode
8.5.6.2.3. Market size and forecast, by Enterprise Size
8.5.6.2.4. Market size and forecast, by Industry
8.5.6.3. Africa
8.5.6.3.1. Market size and forecast, by Component
8.5.6.3.2. Market size and forecast, by Deployment Mode
8.5.6.3.3. Market size and forecast, by Enterprise Size
8.5.6.3.4. Market size and forecast, by Industry
CHAPTER 9: COMPETITIVE LANDSCAPE
9.1. Introduction
9.2. Top winning strategies
9.3. Product mapping of top 10 player
9.4. Competitive dashboard
9.5. Competitive heatmap
9.6. Top player positioning, 2022
CHAPTER 10: COMPANY PROFILES
10.1. Amazon Web Services Inc.
10.1.1. Company overview
10.1.2. Key executives
10.1.3. Company snapshot
10.1.4. Operating business segments
10.1.5. Product portfolio
10.1.6. Business performance
10.1.7. Key strategic moves and developments
10.2. Google Inc.
10.2.1. Company overview
10.2.2. Key executives
10.2.3. Company snapshot
10.2.4. Operating business segments
10.2.5. Product portfolio
10.2.6. Business performance
10.2.7. Key strategic moves and developments
10.3. Hewlett Packard Enterprise Development LP
10.3.1. Company overview
10.3.2. Key executives
10.3.3. Company snapshot
10.3.4. Operating business segments
10.3.5. Product portfolio
10.3.6. Business performance
10.3.7. Key strategic moves and developments
10.4. IBM Corporation
10.4.1. Company overview
10.4.2. Key executives
10.4.3. Company snapshot
10.4.4. Operating business segments
10.4.5. Product portfolio
10.4.6. Business performance
10.4.7. Key strategic moves and developments
10.5. Intel Corporation
10.5.1. Company overview
10.5.2. Key executives
10.5.3. Company snapshot
10.5.4. Operating business segments
10.5.5. Product portfolio
10.5.6. Business performance
10.5.7. Key strategic moves and developments
10.6. Microsoft Corporation
10.6.1. Company overview
10.6.2. Key executives
10.6.3. Company snapshot
10.6.4. Operating business segments
10.6.5. Product portfolio
10.6.6. Business performance
10.6.7. Key strategic moves and developments
10.7. NVIDIA Corporation
10.7.1. Company overview
10.7.2. Key executives
10.7.3. Company snapshot
10.7.4. Operating business segments
10.7.5. Product portfolio
10.7.6. Business performance
10.7.7. Key strategic moves and developments
10.8. Oracle Corporation
10.8.1. Company overview
10.8.2. Key executives
10.8.3. Company snapshot
10.8.4. Operating business segments
10.8.5. Product portfolio
10.8.6. Business performance
10.8.7. Key strategic moves and developments
10.9. Qualcomm Technologies Inc.
10.9.1. Company overview
10.9.2. Key executives
10.9.3. Company snapshot
10.9.4. Operating business segments
10.9.5. Product portfolio
10.9.6. Business performance
10.9.7. Key strategic moves and developments
10.10. Salesforce Inc.,
10.10.1. Company overview
10.10.2. Key executives
10.10.3. Company snapshot
10.10.4. Operating business segments
10.10.5. Product portfolio
10.10.6. Business performance