全球人工神经网络 (ANN) 市场 – 2029 年行业趋势和预测

人工神经网络 (ANN) 市场分析和规模

人工神经网络 (ANN) 是一种模拟人类大脑中神经元框架的容量和结构的计算模型。人工智能的发展以及医疗服务领域对人工神经网络组织的日益接受是人工神经网络市场的主要驱动力。医疗保健使用率的提高、住院率的提高以及慢性病患病率的提高等因素都促进了人工神经网络行业前景的增长。

Data Bridge Market Research 分析称，2021 年人工神经网络 (ANN) 市场价值为 1.7158 亿美元，预计到 2029 年将达到 7.9363 亿美元，在 2022-2029 年预测期内的复合年增长率为 21.10%。除了市场价值、增长率、细分市场、地理覆盖范围、市场参与者和市场情景等市场洞察外，Data Bridge Market Research 团队策划的市场报告还包括深入的专家分析、进出口分析、定价分析、生产消费分析和 pestle 分析。

人工神经网络 (ANN) 市场范围和细分

Market Definition

Artificial neural network (ANN) is a critical subset of machine learning that assists computer scientists with complex tasks such as strategizing, forecasting, and recognizing trends. Artificial neural networks are not like other machine learning algorithms that crunch numbers or organize data; instead, they learn from experience and repeated tasks performed by their users. A neural network is another name for an artificial neural network.

Drivers

• High penetration of predictive analysis

Key ANN features such as predicting consumer behavior and sales forecasting are expected to drive the artificial neural network market during the forecast period. Rapid digitization is expected to accelerate the adoption of artificial neural network platforms. Furthermore, artificial neural networks are widely used in the field of predictive analytics. By recognizing trends from previous marketing campaigns, artificial neural networks assist marketers in predicting the outcome of a campaign. While neural networks have been around for a while, the recent rise of Big Data has made this technology extremely useful in the field of marketing.

• High utilization from emerging and advanced economies

Artificial neural networks in natural language processing, chatbots, drug discovery, and stock market prediction have made the technology more popular in both emerging and advanced economies. Deep learning and AI integration with the existing ANN solution will encourage leading companies to prioritize investments in neural network software and services. The IT & telecom sector will have a high demand for neural network software and services, owing to the increasing penetration of cloud computing solutions.

Furthermore, the growing popularity of PaaS, Security as a Service (SECaaS), and Function as a Service (FaaS) in the IT sector bodes well for leading companies seeking to accelerate neural network market growth. Furthermore, Convolutional Neural Network (CNN) has gained popularity in artificial intelligence (AI) applications such as natural language processing, text digitization, facial recognition, signal processing, and paranoia detection.

Opportunity

• Aggressive strategies from market players

Industry participants anticipate investing in organic and inorganic strategies to expand their market penetration into previously untapped areas. Leading companies could invest in mergers and acquisitions, research and development, product launches, and product rollouts as a result.

Restraints

• Tracking difficulties

However, the increasing difficulty in tracking the outcomes of in-process stages is a critical factor among others that will limit market growth, while extrapolation issues in ANN will be a drawback to the market during the forecast period mentioned above.

This artificial neural network (ANN) market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the artificial neural network (ANN) market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

COVID-19 Impact on Artificial Neural Network (ANN) Market

Coronavirus is a unique global public health crisis that has affected nearly every industry. The long-term effects are expected to impact business development during the figure time frame. This ongoing investigation strengthens the investigation system to ensure the inclusion of fundamental COVID-19 issues and common paths forward. The report disseminates information on COVID-19 while considering changes in buyer behavior and requests, purchasing designs, re-directing the inventory network, elements of current artificial neural network market influences, and critical mediations governments. The updated investigation gives insights into network execution, a cycle intended to consolidate the functionalities of the human mind through a variety of profound learning advances and address complex example recognition or sign handling issues. Climate prediction, penmanship recognition, oil-investigation information examination, facial recognition, conversation-to-message recording, and other applications of neural organization exist.

Recent Development

• On November 3, 2021 Oracle Corporation announced the availability of new AI services on Oracle cloud infrastructure. (OCI). With the new OCI AI services, developers can use pre-trained, out-of-the-box models on business-related data or custom train the services using data specific to their organisations.
• On October 29, 2021, Google LLC announced the release of Pathways, a new AI solution that combines the capabilities of multiple ML solutions on a single AI system.

Global Artificial Neural Network (ANN) Market Scope

The artificial neural network (ANN) market is segmented on the basis of type, component, application, deployment type, organization site and industry. The growth amongst these segments will help you analyse meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Type  

• Feedback Artificial Neural Network
• Feedforward Artificial Neural Network
• Other

Component

• Solutions
• Platform/API
• Services

Application

• Image Recognition
• Signal Recognition
• Data Mining

Deployment type

• Cloud
• On-premise

Organization size

• Small and Medium-Sized Enterprises
• Large Enterprises

Industry

• Banking
• Financial Services
• Insurance
• Retail and Ecommerce
• Healthcare and Life Sciences
• Others

Artificial Neural Network (ANN) Market Regional Analysis/Insights

The artificial neural network (ANN) market is analysed and market size insights and trends are provided by country, type, component, application, deployment type, organization site and industry as referenced above.

The countries covered in the artificial neural network (ANN) market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

The North American market is expected to have the highest demand for artificial neural networks. The United States is expected to invest significantly in the synthetic intelligence sector. Rapid technological adoption in the aerospace and defence sectors is also expected to boost market demand in the coming years.

The Asia-Pacific region is expected to grow rapidly in the coming years due to technological advancements and research activities in the military, banking and finance, automotive and transportation, and electronics and telecommunications industries. The region is a major manufacturer and developer of electronics, automobiles, and telecommunications equipment.

报告的国家部分还提供了影响市场当前和未来趋势的各个市场影响因素和市场监管变化。下游和上游价值链分析、技术趋势和波特五力分析、案例研究等数据点是用于预测各个国家市场情景的一些指标。此外，在提供国家数据的预测分析时，还考虑了全球品牌的存在和可用性以及它们因来自本地和国内品牌的大量或稀缺竞争而面临的挑战、国内关税和贸易路线的影响。   

竞争格局和人工神经网络 (ANN) 市场份额分析

人工神经网络 (ANN) 市场竞争格局按竞争对手提供详细信息。详细信息包括公司概况、公司财务状况、收入、市场潜力、研发投资、新市场计划、全球影响力、生产基地和设施、生产能力、公司优势和劣势、产品发布、产品宽度和广度、应用主导地位。以上提供的数据点仅与公司对人工神经网络 (ANN) 市场的关注有关。

人工神经网络（ANN）市场的一些主要参与者包括：

神经科技有限公司

• IBM 公司（美国）
• nDimensional（美国）
• Alyuda Research, LLC.（美国）
• 微软 (美国)
• SAP SE（德国）
• Starmind（瑞士）
• Afiniti（百慕大）
• Ward Systems Group, Inc.（美国）
• Google LLC（美国）
• NeuralWare（美国）
• 高通技术公司（美国）
• 英特尔公司（美国）
• 甲骨文 (美国)
• 微软 (美国)

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