Rise of Artificial Neural Networks: Market Analysis and Future Outlook: Industry Forecast, 2023-2032

Artificial Neural Networks (ANNs) fulfill a crucial function within the industrial context through the augmentation of efficiency and the enhancement of decision-making procedures. Within the realm of manufacturing, ANNs possess the capability to streamline production schedules, anticipate equipment failures, and refine quality control. Furthermore, in the context of predictive maintenance, these networks analyze sensor data to effectively anticipate potential issues, thereby minimizing periods of inactivity.

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ANNs also make notable contributions to the domain of supply chain management, optimizing both logistics and inventory management. The capacity of ANNs to absorb knowledge from data empowers industries to base their decisions on data-driven insights, leading to the advancement of operational efficiency and the attainment of cost reductions across the diverse spheres of industrial processes.

According to a new report published by Allied Market Research, titled, "Artificial Neural Network Market, by Component, Deployment Mode, Enterprise Size, Industry: Global Opportunity Analysis And Industry Forecast, 2023-2032" The artificial neural network market was valued at $227.80 million in 2022, and is estimated to reach $1.4 billion by 2032, growing at a CAGR of 19.9% from 2023 to 2032.

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Neural networks are a series of algorithms that duplicate the operations and processes of a human brain to recognize relationships between vast amounts of data. A neural network is used in a variety of applications in financial services, from forecasting and marketing research to fraud detection and risk assessment.

Rising unstructured data volumes and the impending need for analytics primarily drive the artificial neural network market growth. Moreover, innovative business offerings such as advanced facial recognition solutions by neural network vendors play a significant role in its adoption. However, some of the restraints associated with its business attractiveness are higher testing-related issues during unit or system integration testing as compared to traditional systems and the problems associated with handling complex system architecture which can limit the global market growth.

However, these challenges are expected to have a limited impact on the artificial neural network market growth due to the emergence of deep learning technology citing the increased need for automation solutions. Overall, the artificial neural network market is expected to continue to grow due to the rise in the adoption of digital services across enterprises.

Based on deployment mode, the on-premise segment is expected to grow at the highest growth rate during the forecast period. An increase in the need for secure and reliable data within the organization is fueling the market growth for on-premises-based artificial neural network solutions. Though on-premise mode is comparatively more expensive than cloud-based services, it is preferred owing to its reliability. However, the cloud segment is expected to exhibit the highest growth during the forecast period. This is attributed to the cost-efficient solutions provided by these solutions.

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Based on enterprise size, the large enterprises segment accounted for the largest share in 2022, contributing for more than one-fourth of the artificial neural network market revenue, owing to the growing demand for artificial neural network solutions in large enterprises which is fueling the market growth in these enterprises. However, the small and medium-sized enterprises segment is expected to portray the largest CAGR of 22.2% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. It provides various benefits to the small and medium-sized enterprises organization.

Based on industry vertical, the healthcare segment accounted for the largest share in 2022, contributing for less than two-fifths of the artificial neural network market revenue, owing to the development of digital technologies in IT sector. However, the manufacturing segment is projected to manifest the highest CAGR of 24.3% from 2023 to 2032. The surge in implementation of automation trends and the increase in utilization of digital technology in this sector are expected to provide lucrative opportunities for the market.

Based on region, North America attained the highest growth in 2022. The presence of prominent players such as Oracle Corporation, IBM Corporation, and others has influenced the growth of the artificial neural network market in North America. Moreover, the rise in government initiatives to strengthen database infrastructure across the region is further expected to drive the demand for Artificial neural network database solutions. However, Asia-Pacific is projected to be the fastest-growing segment during the forecast period, owing to the availability of cost-effective digital solutions and the rise in the amount of data generation across organizations. In addition, the proliferation of advanced technologies escalates system safety and reduces delays in database operations.

The market players operating in the artificial neural network industry are 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. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships, which help to drive the growth of the artificial neural network market globally.

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The report provides a detailed analysis of these key players in the artificial neural network market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different countries. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.

Analysis of Competitors:

Recent Entries into the Artificial Neural Network Market

• In April of 2023, Google LLC introduced a cloud-based automation toolkit tailored for healthcare organizations and offered a preview of Med-PaLM 2, a neural network proficient in addressing medical examination queries.

• In August of 2021, IBM Corporation disclosed details about their forthcoming IBM Telum Processor aimed at integrating deep learning inference into enterprise workflows, particularly to combat real-time fraud.

Recent Collaborations in the Artificial Neural Network Market

• In June of 2023, Snowflake entered into a partnership with Microsoft to streamline artificial intelligence initiatives for mutual customers. A significant aspect of this collaboration revolves around Microsoft's Azure OpenAI Service, which delivers cloud-based iterations of OpenAI LP's machine learning models, including GPT-4.

• In November of 2021, Qualcomm Technologies joined forces with Google Cloud on Neural Architecture Search (NAS), empowering both entities to automate the creation and optimization of AI models, eliminating the need for manual intervention.

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