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Neural Network Market Component (Software and Services) and End-use Industry ((BFSI), Public Sector, Energy & Utilities, Retail, IT & Telecom, Manufacturing, Aerospace & Defense, Healthcare, and Others) - Global Opportunity Analysis and Industry Forecast, 2017-2023

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IC_172326
Pages: 120
Jun 2017 | 1236 Views
 
Author's : Pankaj Lanjudkar
Tables: 29
Charts: 47
 

Neural Network Market Overview:

Neural Network Market incorporates a comprehensive range of practices, tools, solutions, and techniques interrelated closely to a system of hardware and software, which is based on the functionalities of human brain through a variety of deep learning technologies to solve complex pattern recognition or signal processing problems. This system uses neural net and deep learning to deliver improved analytical output while optimizing profits for varied business processes. Applications of neural network include weather prediction, handwriting recognition, oil-exploration data analysis, facial recognition, and speech-to-text transcription, and others.

The report includes the study of the neural network market and focuses on various growth prospects and restraints, based on the regional analysis. The study highlights Porters Five Forces analysis for the neural network market that comprises the impact of suppliers, competitors, new entrants, substitutes, and buyers.

Growth in IT expenditure in emerging nations and technological advancements for workflow optimization fuel the demand for advanced analytical systems, driving the neural network market growth. In addition, growth in demand for cloud-based solutions, demand for spatial data & analytical tools, and increase in market for prediction solutions drive the neural network market growth. However, dearth of trained professionals is expected to restrain the market growth during the forecast period. Furthermore, increased application areas for deep neural networks are expected to create lucrative opportunities for neural network market growth.

Segment Overview

The global neural network market is segmented based on component, end-use industry, and region. Based on component, it is classified into software and services. The end-use industry segment includes banking, financial services & insurance (BFSI); public sector; energy & utilities; retail; IT & telecom; manufacturing; aerospace & defense; healthcare; and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Key Market Segmentation

NEURAL NETWORK MARKET KEY MARKET SEGMENTATION

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Top Impacting Factors

The global neural network market is influenced by several factors that include growth in demand for cloud-based solutions, availability of improved analytical tools and predication solutions, dearth of trained professionals, and impact of developing economies. Each factor would have its definite impact on the neural network market share.

Top Impacting Factors

NEURAL NETWORK MARKET TOP IMPACTING FACTORS

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Availability of Improved Analytical Tools and Predication Solutions

Traditionally, excessive time was consumed for communicating business information and making decisions with the help of homegrown applications. Thus, organizations are on a constant lookout for measures to help them serve their clients and increase their profit margin. At present, predication solutions have become strategic platforms, which provide a solid foundation and information backbone for businesses. A fully integrated analytical tool helps to create accurate, consistent, and timely relevant desired outputs that assist to take better business decisions. However, for efficient and better information integration, companies are searching for spatial data and analytical tools.

Organizations need to access all relevant information quickly to take a necessary business action, owing to increased competition and rapid change in business environment, which can be achieved by transparency in the work and openness. Thus, a neural network that can scale and deal with the global competition while introducing efficiency and transparency is expected to gain a strong foothold in the market during the forecast period.

Growth in Demand for Cloud-based Solutions

The cloud computing model is widely adopted due to its powerful and flexible infrastructural option. Several end users adopt the cloud-based deployment mode to simplify the storage of data, as it provides remote server access on the internet, which provides access to unlimited computing power.

Impact of Developing Economies

Developing countries hold a significant potential for the neural network market due to a low adoption base and developing IT infrastructure. Furthermore, the rapid rate of industrialization in countries, such as India, drives the need of cost-effective predictive solutions among enterprises, which can be addressed through neural network.

Lack of Skilled Workforce

At present, the impact of this factor on the market is high, which limits the end users to invest into advanced solutions and services. However, by 2023, the impact is anticipated to decline due to availability of skilled workforce.

Key Benefits

  • The report provides an overview of the trends, structure, drivers, challenges, and opportunities in the global neural network market.
  • Porters Five Forces analysis highlights the potential of buyers & suppliers, and provides insights on the competitive structure of the market to determine the investment pockets of the market.
  • Current and future trends adopted by the key market players are highlighted to determine overall competitiveness of the market.
  • The quantitative analysis of the market from 2017 to 2023 is provided to elaborate the market potential.

Neural Network Market Key Segments:

By Component

  • Software
  • Services

By End-use Industry

  • Aerospace & Defense
  • Banking, Financial Services, and Insurance (BFSI)
  • Public Sector
  • Retail
  • Healthcare
  • IT & Telecom
  • Energy & Utilities
  • Manufacturing
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • France
    • Germany
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Arica

The Key Players Profiled in the Report are as follows:

  • Neural Technologies Limited
  • SwiftKey
  • Starmind International AG
  • Afiniti
  • Ward Systems Group, Inc.
  • GMDH LLC.
  • NeuroDimension, Inc.
  • NeuralWare
  • Alyuda Research, LLC.
  • OLSOFT LLC.
 

Chapter: 1 INTRODUCTION

1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS
1.3. KEY MARKET SEGMENTS
1.4. KEY MARKET SEGMENTATION
1.5. RESEARCH METHODOLOGY

1.5.1. Secondary research
1.5.2. Primary research
1.5.3. 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
3.2.3. Top winning strategies

3.3. PORTER’S FIVE FORCES ANALYSIS

3.3.1. Moderate-to-low bargaining power of suppliers
3.3.2. Moderate-to-low bargaining power of buyers
3.3.3. Moderate-to-high threat of substitutes
3.3.4. High threat of new entrants
3.3.5. Moderate-to-high competitive rivalry

3.4. KEY PLAYER POSITIONING, 2016 (%)
3.5. MARKET DYNAMICS

3.5.1. Drivers
3.5.2. Restraints
3.5.3. Opportunity

Chapter: 4 NEURAL NETWORK MARKET BY COMPONENT

4.1. OVERVIEW
4.2. SOFTWARE

4.2.1. Key Market Trends
4.2.2. Key growth factors and opportunities
4.2.3. Market size and forecast ($Million)

4.3. SERVICES

4.3.1. Key Market Trends
4.3.2. Key growth factors and opportunities
4.3.3. Market size and forecast ($Million)

Chapter: 5 NEURAL NETWORK MARKET BY END-USE INDUSTRY

5.1. OVERVIEW
5.2. BANKING, FINANCIAL SERVICES & INSURANCE (BFSI)

5.2.1. Key Market Trends
5.2.2. Key growth factors and opportunities
5.2.3. Market size and forecast ($Million)

5.3. PUBLIC SECTOR

5.3.1. Key Market Trends
5.3.2. Key growth factors and opportunities
5.3.3. Market size and forecast ($Million)

5.4. ENERGY & UTILITIES

5.4.1. Key Market Trends
5.4.2. Key growth factors and opportunities
5.4.3. Market size and forecast ($Million)

5.5. RETAIL

5.5.1. Key Market Trends
5.5.2. Key growth factors and opportunities
5.5.3. Market size and forecast ($Million)

5.6. IT & TELECOM

5.6.1. Key Market Trends
5.6.2. Key growth factors and opportunities
5.6.3. Market size and forecast ($Million)

5.7. MANUFACTURING

5.7.1. Key Market Trends
5.7.2. Key growth factors and opportunities
5.7.3. Market size and forecast ($Million)

5.8. AEROSPACE & DEFENSE

5.8.1. Key Market Trends
5.8.2. Key growth factors and opportunities
5.8.3. Market size and forecast ($Million)

5.9. HEALTHCARE

5.9.1. Key Market Trends
5.9.2. Key growth factors and opportunities
5.9.3. Market size and forecast ($Million)

5.10. OTHERS

5.10.1. Key Market Trends
5.10.2. Key growth factors and opportunities
5.10.3. Market size and forecast ($Million)

Chapter: 6 NEURAL NETWORK MARKET BY REGION

6.1. OVERVIEW
6.2. NORTH AMERICA

6.2.1. Key market trends
6.2.2. Key growth factors and opportunities
6.2.3 Market size and forecast, by component
6.2.4 Market size and forecast, by end-use industry
6.2.5. U.S.
6.2.6 Canada
6.2.7. Mexico

6.3. EUROPE

6.3.1. Key market trends
6.3.2. Key growth factors and opportunities
6.3.3 Market size and forecast, by component
6.3.4 Market size and forecast, by end-use industry
6.3.5. UK
6.3.6. Germany
6.3.7. France
6.3.8. Rest of Europe

6.4. ASIA-PACIFIC

6.4.1. Key market trends
6.4.2. Key growth factors and opportunities
6.4.3 Market size and forecast, by component
6.4.4 Market size and forecast, by end-use industry
6.4.5. China
6.4.6. India
6.4.7. Japan
6.4.8. South Korea
6.4.9. Rest of Asia-Pacific

6.5. LATIN AMERICA, THE MIDDLE EAST, AND AFRICA (LAMEA)

6.5.1. Key market trends
6.5.2. Key growth factors and opportunities
6.5.3 Market size and forecast, by component
6.5.4 Market size and forecast, by end-use industry
6.5.5. Latin America
6.5.6. Middle East
6.5.7. Africa

Chapter: 7 COMPANY PROFILES

7.1. NEURAL TECHNOLOGIES LIMITED

7.1.1. Company Overview
7.1.2. Financial performance
7.1.3. Key strategies & developments

7.2. SWIFTKEY

7.2.1. Company Overview
7.2.2. Financial performance
7.2.3. Key strategies & developments

7.3. STARMIND INTERNATIONAL AG

7.3.1. Company Overview
7.3.2. Financial performance
7.3.3. Key strategies & developments

7.4. AFINITI

7.4.1. Company Overview
7.4.2. Financial performance
7.4.3. Key strategies & developments

7.5. WARD SYSTEMS GROUP, INC.

7.5.1. Company Overview
7.5.2. Financial performance
7.5.3. Key strategies & developments

7.6. GMDH LLC

7.6.1. Company Overview
7.6.2. Financial performance
7.6.3. Key strategies & developments

7.7. NEURODIMENSION, INC.

7.7.1. Company Overview
7.7.2. Financial performance
7.7.3. Key strategies & developments

7.8. NEURALWARE

7.8.1. Company Overview
7.8.2. Financial performance
7.8.3. Key strategies & developments

7.9. ALYUDA RESEARCH, LLC

7.9.1. Company Overview
7.9.2. Financial performance
7.9.3. Key strategies & developments

7.10. OLSOFT LLC

7.10.1. Company Overview
7.10.2. Financial performance
7.10.3. Key strategies & developments

LIST OF TABLES

TABLE 1. NEURAL NETWORK MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 2. GLOBAL NEURAL NETWORKS MARKET REVENUE, BY COMPONENT, 2016-2023 ($MILLION)
TABLE 3. NEURAL NETWORK SOFTWARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 4. NEURAL NETWORK SERVICES MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 5. GLOBAL NEURAL NETWORKS MARKET REVENUE, BY END-USE INDUSTRY, 2016-2023 ($MILLION)
TABLE 6. BFSI NEURAL NETWORK MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 7. PUBLIC SECTOR NEURAL NETWORK MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 8. ENERGY & UTILITIES NEURAL NETWORK MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 9. RETAIL NEURAL NETWORK MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 10. IT & TELECOM NEURAL NETWORK MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 11. MANUFACTURING NEURAL NETWORK MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 12. AEROSPACE & DEFENSE NEURAL NETWORK MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 13. HEALTHCARE NEURAL NETWORK MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 14. OTHERS NEURAL NETWORK MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 15. GLOBAL NEURAL NETWORK MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 16. NORTH AMERICAN NEURAL NETWORK MARKET REVENUE, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 17. NORTH AMERICAN NEURAL NETWORK MARKET REVENUE, BY COMPONENT, 2016-2023 ($MILLION)
TABLE 18. NORTH AMERICAN NEURAL NETWORK MARKET REVENUE, BY END-USE INDUSTRY, 2016-2023 ($MILLION)
TABLE 19. U.S. NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 20. CANADA NEURAL NETWORK MARKET REVENUE , 2017-2023 ($MILLION)
TABLE 21. MEXICO NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 22. EUROPE NEURAL NETWORK MARKET REVENUE, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 23. EUROPE NEURAL NETWORK MARKET REVENUE, BY COMPONENT, 2016-2023 ($MILLION)
TABLE 24. EUROPE NEURAL NETWORK MARKET REVENUE, BY END-USE INDUSTRY, 2016-2023 ($MILLION)
TABLE 25. GERMANY NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 26. UK NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 27. FRANCE NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 28. RUSSIA NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 29. REST OF EUROPE NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 30. ASIA-PACIFIC NEURAL NETWORK MARKET REVENUE, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 31. ASIA-PACIFIC NEURAL NETWORK MARKET REVENUE, BY COMPONENT, 2016-2023 ($MILLION)
TABLE 32. ASIA-PACIFIC NEURAL NETWORK MARKET REVENUE, BY END-USE INDUSTRY, 2016-2023 ($MILLION)
TABLE 33. CHINA NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 34. JAPAN NEURAL NETWORK MARKET REVENUE , 2017-2023 ($MILLION)
TABLE 35. INDIA NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 36. AUSTRALIA NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 37. REST OF ASIA-PACIFIC NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 38. LAMEA NEURAL NETWORK MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 39. LAMEA NEURAL NETWORK MARKET REVENUE, BY COMPONENT, 2016-2023 ($MILLION)
TABLE 40. LAMEA NEURAL NETWORK MARKET REVENUE, BY END-USE INDUSTRY, 2016-2023 ($MILLION)
TABLE 41. LATIN AMERICA NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 42. MIDDLE EAST NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 43. AFRICA NEURAL NETWORK MARKET REVENUE, 2017-2023 ($MILLION)
TABLE 44. COMPANY SNAPSHOT: NEURAL TECHNOLOGIES LIMITED
TABLE 45. COMPANY SNAPSHOT: SWIFTKEY
TABLE 46. COMPANY SNAPSHOT: STARMIND INTERNATIONAL AG
TABLE 47. COMPANY SNAPSHOT: AFINITI
TABLE 48. COMPANY SNAPSHOT: WARD SYSTEMS GROUP, INC.
TABLE 49. COMPANY SNAPSHOT: GMDH LLC
TABLE 50. COMPANY SNAPSHOT: NEURODIMENSION, INC.
TABLE 51. COMPANY SNAPSHOT: NEURALWARE
TABLE 52. COMPANY SNAPSHOT: ALYUDA RESEARCH, LLC
TABLE 53. COMPANY SNAPSHOT: OLSOFT LLC
 

LIST OF FIGURES

FIGURE 1. KEY MARKET SEGMENTATION
FIGURE 2. OVERVIEW OF THE OPPORTUNITIES IN THE GLOBAL NEURAL NETWORK INDUSTRY
FIGURE 3. TOP IMPACTING FACTORS
FIGURE 4. TOP INVESTMENT POCKETS IN THE GLOBAL NEURAL NETWORK MARKET
FIGURE 5. TOP WINNING STRATEGIES
FIGURE 6. TOP WINNING STRATEGY
FIGURE 7. BARGAINING POWER OF SUPPLIERS
FIGURE 8. BARGAINING POWER OF BUYERS
FIGURE 9. THREAT OF SUBSTITUTES
FIGURE 10. THREAT OF NEW ENTRANTS
FIGURE 11. COMPETITIVE RIVALRY
FIGURE 12. KEY PLAYER POSITIONING OF GLOBAL NEURAL NETWORK MARKET, 2016 (%)
FIGURE 13. MARKET DYNAMICS
FIGURE 14. GLOBAL NEURAL NETWORK MARKET, BY COMPONENT
FIGURE 15. GLOBAL NEURAL NETWORK MARKET, BY COMPONENT, 2016-2023
FIGURE 16. GLOBAL NEURAL NETWORKS MARKET, BY END-USE INDUSTRY
FIGURE 17. GLOBAL NEURAL NETWORKS MARKET, BY END-USE INDUSTRY, 2016-2023
FIGURE 18. GLOBAL NEURAL NETWORK MARKET, BY REGION
FIGURE 19. NORTH AMERICAN NEURAL NETWORK MARKET
FIGURE 20. U.S. NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 21. CANADA NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 22. MEXICO NEURAL NETWORK MARKET, 2016-2023($MILLION)
FIGURE 23. EUROPE NEURAL NETWORK MARKET
FIGURE 24. UK NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 25. GERMANY NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 26. FRANCE NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 27. REST OF EUROPE NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 28. ASIA-PACIFIC NEURAL NETWORK MARKET
FIGURE 29. CHINA NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 30. INDIA NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 31. JAPAN NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 32. SOUTH KOREA NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 33. REST OF ASIA-PACIFIC NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 34. LAMEA NEURAL NETWORK MARKET
FIGURE 35. LATIN AMERICA NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 36. MIDDLE EAST NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 37. AFRICA NEURAL NETWORK MARKET, 2016-2023 ($MILLION)
FIGURE 38. FINANCIAL PERFORMANCE: NEURAL TECHNOLOGIES LIMITED
FIGURE 39. FINANCIAL PERFORMANCE: SWIFTKEY
FIGURE 40. FINANCIAL PERFORMANCE: STARMIND INTERNATIONAL AG
FIGURE 41. FINANCIAL PERFORMANCE: AFINITI
FIGURE 42. FINANCIAL PERFORMANCE: WARD SYSTEMS GROUP, INC.
FIGURE 43. FINANCIAL PERFORMANCE: GMDH LLC
FIGURE 44. FINANCIAL PERFORMANCE: NEURODIMENSION, INC.
FIGURE 45. FINANCIAL PERFORMANCE: NEURALWARE
FIGURE 46. FINANCIAL PERFORMANCE: ALYUDA RESEARCH, LLC
FIGURE 47. FINANCIAL PERFORMANCE: OLSOFT LLC

 

The global neural network market is estimated to witness significant growth in Asia-Pacific and LAMEA, on account of high investment in IT expenditure and rapid development in analytical & predictive tools, owing to rise in demand & awareness about deep neural network. The neural network market share is projected to grow at a CAGR of 28.0% from 2017 to 2023, owing to increase in demand for application-specific solutions in the developed and the developing regions.

There is an increase in the adoption of neural network among banking, financial services and insurance (BFSI); IT & telecom; retail; healthcare; and energy & utilities. The neural network market is influenced by the rise in demand for cloud-based solutions, increase in spatial data availability, and growth in awareness about data analysis. In addition, rise in demand for application-specific solutions contributed to the growth of the market. However, challenges associated with multilayer neural networks and dearth of trained professionals limit the market growth.

The key players in the neural network market are involved in the introduction of new features and capabilities to enhance their existing product portfolio. This is anticipated to increase the product penetration and enable key providers to establish themselves in the emerging markets. In this regard, Microsoft Inc., announced the introduction of Azure Batch AI Training in May 2017 for training deep neural network on Azure cloud computing platform. This service is designed to assist developers in training machine learning models.

 

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