
Artificial Neural Network Market by Component (Platform/API, Services, Solution), Organization Size (Large Enterprises, Small & Medium-Sized Enterprises), Deployment Mode, Application, Industry Vertical - Global Forecast 2024-2030
Description
Artificial Neural Network Market by Component (Platform/API, Services, Solution), Organization Size (Large Enterprises, Small & Medium-Sized Enterprises), Deployment Mode, Application, Industry Vertical - Global Forecast 2024-2030
The Artificial Neural Network Market size was estimated at USD 187.11 million in 2023 and expected to reach USD 203.13 million in 2024, at a CAGR 8.65% to reach USD 334.62 million by 2030.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Neural Network Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Neural Network Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Neural Network Market, highlighting leading vendors and their innovative profiles. These include Alyuda Research, LLC, Atomwise, Inc., Clarifai, Inc., Google LLC by Alphabet Inc., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Neurala, Inc., Neuralware, Oracle Corporation, Qualcomm Incorporated, Rossum Ltd., Speechmatics, Starmind, and Ward Systems Group, Inc..
Market Segmentation & Coverage
This research report categorizes the Artificial Neural Network Market to forecast the revenues and analyze trends in each of the following sub-markets:
Component
Platform/API
Large Enterprises
On-Cloud
Data Mining
Banking, Financial Services & Insurance
Americas
Argentina
California
Australia
Denmark
The report offers valuable insights on the following aspects:
- Market Penetration: It presents comprehensive information on the market provided by key players.
- Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
- Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
- Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
- Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
- What is the market size and forecast of the Artificial Neural Network Market?
- Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Neural Network Market?
- What are the technology trends and regulatory frameworks in the Artificial Neural Network Market?
- What is the market share of the leading vendors in the Artificial Neural Network Market?
- Which modes and strategic moves are suitable for entering the Artificial Neural Network Market?
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
183 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Limitations
- 1.7. Assumptions
- 1.8. Stakeholders
- 2. Research Methodology
- 2.1. Define: Research Objective
- 2.2. Determine: Research Design
- 2.3. Prepare: Research Instrument
- 2.4. Collect: Data Source
- 2.5. Analyze: Data Interpretation
- 2.6. Formulate: Data Verification
- 2.7. Publish: Research Report
- 2.8. Repeat: Report Update
- 3. Executive Summary
- 4. Market Overview
- 4.1. Introduction
- 4.2. Artificial Neural Network Market, by Region
- 5. Market Insights
- 5.1. Market Dynamics
- 5.1.1. Drivers
- 5.1.1.1. Increased demand due to enhanced processing power, learning ability, and speed of neural networks
- 5.1.1.2. Demand for analyzing large volumes of data sets with low supervision
- 5.1.1.3. Rising demand for prediction solutions including predicting consumer behavior and sales forecasting
- 5.1.2. Restraints
- 5.1.2.1. Difficulty in tracking the results of in-process stages
- 5.1.3. Opportunities
- 5.1.3.1. Increased use of ANN in IoT
- 5.1.3.2. High potential in advanced driver assistance technology in vehicles and other self-driving vehicles
- 5.1.4. Challenges
- 5.1.4.1. Reduced trust due to unexplained behavior of the network
- 5.2. Market Segmentation Analysis
- 5.3. Market Trend Analysis
- 5.4. Cumulative Impact of High Inflation
- 5.5. Porter’s Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
- 5.6. Value Chain & Critical Path Analysis
- 5.7. Regulatory Framework
- 6. Artificial Neural Network Market, by Component
- 6.1. Introduction
- 6.2. Platform/API
- 6.3. Services
- 6.4. Solution
- 7. Artificial Neural Network Market, by Organization Size
- 7.1. Introduction
- 7.2. Large Enterprises
- 7.3. Small & Medium-Sized Enterprises
- 8. Artificial Neural Network Market, by Deployment Mode
- 8.1. Introduction
- 8.2. On-Cloud
- 8.3. On-Premises
- 9. Artificial Neural Network Market, by Application
- 9.1. Introduction
- 9.2. Data Mining
- 9.3. Image Recognition
- 9.4. Signal Recognition
- 10. Artificial Neural Network Market, by Industry Vertical
- 10.1. Introduction
- 10.2. Banking, Financial Services & Insurance
- 10.3. Government & Defense
- 10.4. Healthcare & Life Sciences
- 10.5. Manufacturing
- 10.6. Retail & e-Commerce
- 10.7. Telecommunications & IT
- 10.8. Transportation & Logistics
- 11. Americas Artificial Neural Network Market
- 11.1. Introduction
- 11.2. Argentina
- 11.3. Brazil
- 11.4. Canada
- 11.5. Mexico
- 11.6. United States
- 12. Asia-Pacific Artificial Neural Network Market
- 12.1. Introduction
- 12.2. Australia
- 12.3. China
- 12.4. India
- 12.5. Indonesia
- 12.6. Japan
- 12.7. Malaysia
- 12.8. Philippines
- 12.9. Singapore
- 12.10. South Korea
- 12.11. Taiwan
- 12.12. Thailand
- 12.13. Vietnam
- 13. Europe, Middle East & Africa Artificial Neural Network Market
- 13.1. Introduction
- 13.2. Denmark
- 13.3. Egypt
- 13.4. Finland
- 13.5. France
- 13.6. Germany
- 13.7. Israel
- 13.8. Italy
- 13.9. Netherlands
- 13.10. Nigeria
- 13.11. Norway
- 13.12. Poland
- 13.13. Qatar
- 13.14. Russia
- 13.15. Saudi Arabia
- 13.16. South Africa
- 13.17. Spain
- 13.18. Sweden
- 13.19. Switzerland
- 13.20. Turkey
- 13.21. United Arab Emirates
- 13.22. United Kingdom
- 14. Competitive Landscape
- 14.1. FPNV Positioning Matrix
- 14.2. Market Share Analysis, By Key Player
- 14.3. Competitive Scenario Analysis, By Key Player
- 15. Competitive Portfolio
- 15.1. Key Company Profiles
- 15.1.1. Alyuda Research, LLC
- 15.1.2. Atomwise, Inc.
- 15.1.3. Clarifai, Inc.
- 15.1.4. Google LLC by Alphabet Inc.
- 15.1.5. Intel Corporation
- 15.1.6. International Business Machines Corporation
- 15.1.7. Microsoft Corporation
- 15.1.8. Neurala, Inc.
- 15.1.9. Neuralware
- 15.1.10. Oracle Corporation
- 15.1.11. Qualcomm Incorporated
- 15.1.12. Rossum Ltd.
- 15.1.13. Speechmatics
- 15.1.14. Starmind
- 15.1.15. Ward Systems Group, Inc.
- 15.2. Key Product Portfolio
- 16. Appendix
- 16.1. Discussion Guide
- 16.2. License & Pricing
- FIGURE 1. ARTIFICIAL NEURAL NETWORK MARKET RESEARCH PROCESS
- FIGURE 2. ARTIFICIAL NEURAL NETWORK MARKET SIZE, 2023 VS 2030
- FIGURE 3. ARTIFICIAL NEURAL NETWORK MARKET SIZE, 2018-2030 (USD MILLION)
- FIGURE 4. ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY REGION, 2023 VS 2030 (%)
- FIGURE 5. ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 6. ARTIFICIAL NEURAL NETWORK MARKET DYNAMICS
- FIGURE 7. ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
- FIGURE 8. ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 9. ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2030 (%)
- FIGURE 10. ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 11. ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY DEPLOYMENT MODE, 2023 VS 2030 (%)
- FIGURE 12. ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY DEPLOYMENT MODE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 13. ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
- FIGURE 14. ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 15. ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY INDUSTRY VERTICAL, 2023 VS 2030 (%)
- FIGURE 16. ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY INDUSTRY VERTICAL, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 17. AMERICAS ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 18. AMERICAS ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 19. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY STATE, 2023 VS 2030 (%)
- FIGURE 20. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 21. ASIA-PACIFIC ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 22. ASIA-PACIFIC ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 23. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 24. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 25. ARTIFICIAL NEURAL NETWORK MARKET, FPNV POSITIONING MATRIX, 2023
- FIGURE 26. ARTIFICIAL NEURAL NETWORK MARKET SHARE, BY KEY PLAYER, 2023
Pricing
Currency Rates
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