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세계의 인공신경망(ANN) 시장(2023-2030년)

Global Artificial Neural Networks (ANN) Market - 2023-2030

발행일: 2023년 08월 | 리서치사:

DataM Intelligence | 페이지 정보: 영문 199 Pages | 배송안내 : 1-2일 (영업일 기준)

■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

시장 개요

세계의 인공신경망(ANN) 시장은 2022년에 1억 6,430만 달러였으며, 2023년부터 2030년의 예측 기간 동안 17.6%의 CAGR로 성장하여 2030년에는 6억 30만 달러에 달할 것으로 예상됩니다. 첨단 기술에 대한 수요 증가는 인공신경망(ANN) 시장의 주요 촉진 요인입니다. ANN 기술은 의료, 은행/금융서비스/보험, 소매, 전자상거래 등 다양한 산업에서 도입되었습니다.

의료에서 이 기술은 질병 진단, 의약품 및 의료 영상 분석에 사용되며 COVID-19 기간 동안 가장 빠른 성장을 나타냅니다. 또한 금융은 사기 감지, 위험 평가 및 알고리즘 거래에 도움이 됩니다. 다른 분야에서는 수요 예측, 고객 행동 분석, 자율 주행 차량 등에서 ANN의 활용 영역에서 이익을 얻고 있습니다.

인공신경망(ANN) 시장에서는 북미가 압도적인 지위를 차지하고 있으며 아시아 태평양과 유럽이 이어지고 있습니다. 이 성장 지역은 첨단 기술 인프라, 높은 R&D 투자, 선도적인 기술 기업의 존재로 세계의 점유율의 절반에 가깝습니다.

시장 역학

기술 진보 증가

하드웨어, 소프트웨어 및 알고리즘 개선을 포함한 기술의 발전으로 ANN 솔루션은 더욱 강력하고 효과적이 되었습니다. 예를 들어, 딥러닝 알고리즘을 개발함으로써 ANN 솔루션은 더 큰 데이터 세트를 더 높은 정확도와 속도로 처리하고 분석할 수 있게 되었습니다.

게다가 사물인터넷(IoT) 장비의 인기 증가도 ANN 시장을 뒷받침하고 있습니다. IoT 장비는 예측 분석에 사용할 수 있는 엄청난 양의 데이터를 생성하며, ANN 솔루션은 이 데이터를 분석하여 패턴과 동향을 파악하는 데 특히 효과적입니다. 게다가 ANN 시장은 AI 연구의 지속적인 발전, 데이터 가용성 증가, 다양한 분야의 지능형 자동화의 필요성으로 인해 급성장을 계속할 것으로 예상됩니다. ANN의 알고리즘과 아키텍처가 계속 진화함에 따라 그 용도가 확대되고 기업은 실용적인 지식을 끌어내 혁신을 추진할 수 있을 것으로 예상됩니다.

AI 솔루션에 대한 수요 증가

산업 전체에서 AI를 활용한 솔루션에 대한 수요가 높아지고 있는 것이 ANN 시장의 주요 촉진 요인이 되고 있습니다. 기업은 ANN 기술을 활용하여 대량의 데이터를 분석하고, 패턴으로부터 학습하고, 정확한 예측과 의사결정을 할 수 있는 지능형 시스템을 개발하고 있습니다. ANN은 예측 분석, 자연 언어 처리, 이미지 인식, 자율 시스템 등 분야에서 응용되고 있습니다.

예를 들어, ANN 모델은 이미지 인식 및 패턴 인식 작업에서 뛰어난 성공을 거두고 있습니다. 얼굴 인식, 물체 감지, 자율주행 등 이미지 인식을 위한 용도에 대한 수요는 산업 전반에 걸쳐 증가하고 있습니다. ANN 기반 알고리즘은 이미지를 분석하고, 패턴을 검출하고, 정확한 예측을 할 수 있기 때문에 자동 운전 차량, 의료용 이미지 프로세싱, 제조업에서의 품질 관리 등 용도를 가능하게 합니다.

추적과 해석의 어려움

많은 투자를 해도 ANN 솔루션을 추적하고 해석할 수 없는 것이 시장을 저해하는 큰 요인이 되고 있습니다. ANN 솔루션은 이해와 해석이 어려워 기업과 조직이 이러한 솔루션을 신뢰하고 활용하는 것을 어렵게 만듭니다.

특히 의료 및 금융과 같은 ANN 예측에 근거한 의사결정이 심각한 결과를 초래할 수 있는 산업에서는 보다 투명하고 해석하기 쉬운 ANN 솔루션에 대한 수요가 높아지고 있습니다.

COVID-19의 영향 분석

팬데믹은 인공신경망(ANN) 시장에 몇 가지 성장 전망을 제공하는 동시에 방해가되었습니다. 예를 들어, 팬데믹 기간 동안 원격 학습으로의 이동과 통신 기술에 대한 의존성 증가는 ANN 용도 관련 기회를 창출했습니다. 한편, 팬데믹에 의한 세계의 공급망의 혼란은 ANN 시장에 영향을 미치고 있습니다. 하드웨어 및 컴퓨팅 인프라의 생산 및 배달 지연은 ANN 시스템 배포에 영향을 미칩니다.

Market Overview

Global Artificial Neural Networks (ANN) Market reached US$ 164.3 million in 2022 and is expected to reach US$ 600.3 million by 2030 growing with a CAGR of 17.6% during the forecast period 2023-2030. The rising demand for advanced technology is a major driver for the artificial neural networks (ANN) market. ANN technology is being implemented across various industry verticals such as healthcare, banking, financial services, insurance and retail and e-commerce.

In healthcare, the technology is used for disease diagnosis, drug discovery, and medical imaging analysis and has shown the fastest growth during the COVID-19 period. Furthermore, in finance, it aids in fraud detection, risk assessment, and algorithmic trading. Other sectors benefit from ANN applications in demand forecasting, customer behavior analysis, autonomous vehicles, and more.

North America holds a dominating position in the artificial neural networks (ANN) market followed by Asia-Pacific and Europe. The growing region's advanced technological infrastructure, high research and development investments, and the presence of leading technology companies lead to cover region nearly half of the share globally.

Market Dynamics

Rising Technological Advancements

Rising advancements in technology including improvements in hardware, software, and algorithms are making ANN solutions more powerful and effective. For example, the development of deep learning algorithms has enabled ANN solutions to process and analyze larger datasets with greater accuracy and speed.

Moreover, the growing popularity of Internet of Things (IoT) devices is also boosting the ANN market. IoT devices generate vast amounts of data that can be used for predictive analytics, and ANN solutions are particularly effective at analyzing this data to identify patterns and trends. Furthermore, the ANN market is expected to continue its rapid growth due to ongoing advancements in AI research, increasing data availability, and the need for intelligent automation in various sectors. As ANN algorithms and architectures continue to evolve, their applications are likely to expand, enabling businesses to extract actionable insights and drive innovation.

Increasing Demand for AI Solutions

The growing demand for AI-powered solutions across industries is a major driver of the ANN market. Organizations are leveraging ANN technology to develop intelligent systems that can analyze large volumes of data, learn from patterns, and make accurate predictions or decisions. ANN finds applications in areas such as predictive analytics, natural language processing, image recognition, and autonomous systems.

For instance, ANN models have demonstrated extraordinary success in the image and pattern recognition tasks. The demand for image recognition applications, such as facial recognition, object detection, and autonomous driving, is increasing across industries. ANN-based algorithms can analyze images, detect patterns, and make accurate predictions, enabling applications like autonomous vehicles, medical imaging, and quality control in manufacturing.

Tracking and Interpretation Difficulties

The lack of tracking and interpretability of ANN solutions even after high investments is a major factor that is hampering the market. ANN solutions can be difficult to understand and interpret, making it challenging for businesses and organizations to trust and use these solutions.

There is a growing demand for more transparent and interpretable ANN solutions, particularly in industries such as healthcare and finance, where decisions based on ANN predictions can have significant consequences.

COVID-19 Impact Analysis

The pandemic has hampered as as well created several growth prospects for the artificial neural networks (ANN) market. For instance, the shift towards remote learning and increased reliance on telecommunication technologies during the pandemic have created opportunities for ANN applications. Whereas, the disruptions caused by the pandemic in global supply chains have affected the ANN market. Delays in the production and delivery of hardware components and computing infrastructure have impacted the deployment of ANN systems.

Segment Analysis

The global artificial neural networks (ANN) market is segmented based on type, component, deployment, application, end-user and region.

Growing Demand For A Network With Great Adaptability And Learning Features

Feedback artificial neural network is expected to hold a significant share in the forecast period making it to cover more than 33.3% globally. Feedback neural networks allow for the transmission of signals in both ways. The complexity of feedback neural networks can grow quickly and they are quite powerful. Neural networks with feedback are dynamic. When such a network reaches an equilibrium point, the "state" will no longer change. Until the input changes and a new equilibrium needs to be reached, they stay at the equilibrium point.

Recurrent or interactive are other names for the architecture of a feedback neural network, but the latter is frequently used to describe feedback connections in single-layer organizations. These networks allow for feedback loops. In content addressable memories, they are employed. One of the advantages of FBANNs is their ability to adapt and learn over time. The feedback connections allow the network to adjust its connections and weights based on feedback signals, improving its accuracy and performance over time.

Geographical Analysis

Presence Of Key Players And Their Rising Investments In The Market

The presence of key players in North America is a major factor boosting the market growth of the ANN market. The companies include IBM Corporation, Microsoft Corporation, Intel Corporation, Google LLC, and Oracle Corporation, among others. These companies are investing heavily in research and development to improve the capabilities and applications of ANN. Additionally, partnerships and collaborations with other companies in the region are expected to further drive the growth of the ANN market in North America.

For instance, On November 3, 2021, Oracle Corporation announced the launch of new AI services on Oracle cloud infrastructure. Developers can train the new OCI AI services using data specific to their organizations or utilize pre-trained, out-of-the-box models on business-related data.

Competitive Landscape

The major global players in the market include IBM Corporation, Qualcomm Technologies, Inc, Intel Corporation, Oracle, nDimensional, Alyuda Research, LLC, Microsoft, SAP SE, Starmind, Afiniti, Ward Systems Group, Inc, Google LLC, NeuralWare, Microsoft.

Why Purchase the Report?

To visualize the global artificial neural networks (ANN) market segmentation based on type, component, deployment, application, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of artificial neural networks (ANN) market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global artificial neural networks (ANN) market report would provide approximately 77 tables, 78 figures and 199 Pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Type
3.2. Snippet by Component
3.3. Snippet by Deployment
3.4. Snippet by Application
3.5. Snippet by End-User
3.6. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Rising Demand for Predictive Analysis
  - 4.1.1.2. Aggressive Strategies From Market Players
  - 4.1.1.3. Rising Technological Advancements
  - 4.1.1.4. Increasing Demand for AI Solutions
- 4.1.2. Restraints
  - 4.1.2.1. Lack of Standardization
  - 4.1.2.2. Tracking and Interpretation Difficulties
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Forces Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Before COVID-19 Scenario
- 6.1.2. Present COVID-19 Scenario
- 6.1.3. Post COVID-19 or Future Scenario
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Type

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 7.1.2. Market Attractiveness Index, By Type
7.2. Feedback Artificial Neural Network *
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Feedforward Artificial Neural Network

8. By Component

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 8.1.2. Market Attractiveness Index, By Component
8.2. Solutions *
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Platform/API
8.4. Services

9. By Deployment

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 9.1.2. Market Attractiveness Index, By Deployment
9.2. On-premises *
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Cloud

10. By Application

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.1.2. Market Attractiveness Index, By Application
10.2. Image Recognition*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Signal Recognition
10.4. Data Mining
10.5. Others

11. By End-User

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.1.2. Market Attractiveness Index, By End-User
11.2. Banking, Financial Services, Insurance*
- 11.2.1. Introduction
- 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. Retail and E-commerce
11.4. Healthcare and Life Sciences
11.5. Others

12. By Region

12.1. Introduction
- 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 12.1.2. Market Attractiveness Index, By Region
12.2. North America
- 12.2.1. Introduction
- 12.2.2. Key Region-Specific Dynamics
- 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.2.8.1. U.S.
  - 12.2.8.2. Canada
  - 12.2.8.3. Mexico
12.3. Europe
- 12.3.1. Introduction
- 12.3.2. Key Region-Specific Dynamics
- 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.3.8.1. Germany
  - 12.3.8.2. UK
  - 12.3.8.3. France
  - 12.3.8.4. Italy
  - 12.3.8.5. Russia
  - 12.3.8.6. Rest of Europe
12.4. South America
- 12.4.1. Introduction
- 12.4.2. Key Region-Specific Dynamics
- 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.4.8.1. Brazil
  - 12.4.8.2. Argentina
  - 12.4.8.3. Rest of South America
12.5. Asia-Pacific
- 12.5.1. Introduction
- 12.5.2. Key Region-Specific Dynamics
- 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.5.8.1. China
  - 12.5.8.2. India
  - 12.5.8.3. Japan
  - 12.5.8.4. Australia
  - 12.5.8.5. Rest of Asia-Pacific
12.6. Middle East and Africa
- 12.6.1. Introduction
- 12.6.2. Key Region-Specific Dynamics
- 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

13.1. Competitive Scenario
13.2. Market Positioning/Share Analysis
13.3. Mergers and Acquisitions Analysis

14. Company Profiles

14.1. Cisco Systems Inc.*
- 14.1.1. Company Overview
- 14.1.2. Product Portfolio and Description
- 14.1.3. Financial Overview
- 14.1.4. Key Developments
14.2. IBM Corporation
14.3. Microsoft Corporation
14.4. SAS Institute Inc.
14.5. Oracle Corporation
14.6. Splunk Inc.
14.7. Riverbed Technology Inc.
14.8. NetScout Systems Inc.
14.9. Ixia
14.10. SolarWinds Inc.

LIST NOT EXHAUSTIVE

15. Appendix

15.1. About Us and Services
15.2. Contact Us

02-2025-2992
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※ 부가세 별도

세계의 인공신경망(ANN) 시장(2023-2030년)

Global Artificial Neural Networks (ANN) Market - 2023-2030

시장 개요

시장 역학

COVID-19의 영향 분석

목차

제1장 조사 방법 및 범위

제2장 정의 및 개요

제3장 주요 요약

제4장 시장 역학

제5장 산업 분석

제6장 COVID-19 분석

제7장 유형별

제8장 구성 요소별

제9장 전개 방법별

제10장 용도별

제11장 최종 사용자별

제12장 지역별

제13장 경쟁 구도

제14장 기업 개요

제15장 부록