(ANNs) Artificial Neural Networks Statistics

Artificial Neural Networks (ANNs) Statistics

 

• Artificial Neural Networks (ANNs) are being used in over 95% of neural networks applications
• Global AI in healthcare market size is expected to reach $39.96 billion by 2023, with a CAGR of 39.4% during the 2020-2023 forecast period
• Automated Machine Learning (AutoML) will be responsible for the majority of AI deployments in industrial contexts, growing from 40% in 2019 to 50% by 2023
• China and North America hold the largest share of the total AI market, with Europe projected to increase its share significantly, rising from 7.7% in 2018 to 17.8% in 2023
• By 2023, the global market for computer vision and image processing is expected to reach $25.61 billion, with a CAGR of 17.2% during the 2020-2023 forecast period
• The oil & gas industry will have the highest CAGR for AI use by 2023, estimated at 45.4%, followed by the manufacturing sector at 38.3%
• According to a survey by Gartner, 60% of businesses are deploying AI or plan to deploy it by the end of 2023
• Global investments in Artificial Intelligence (AI) and Machine Learning (ML) projects is expected to surpass $103 billion in 2023
• According to research, the chatbot market size is expected to grow to $1.3 billion by 2023, with an estimated CAGR of 24% during the forecast period
• Artificial Neural Networks (ANNs): Now Predicted to Dominate 95% of Neural Network Applications by 2023

The field of Artificial Neural Networks (ANNs) is growing rapidly, with numerous applications and capabilities associated with it. ANNs are widely used in complex data analysis and deep learning applications, as well as for predicting outcomes in many different situations. As the technology progresses, so does the potential for increased accuracy and reliability in the results. In this article, we will explore some of the statistical trends

Key (ANNs) Artificial Neural Networks Stats

AI technology has seen immense growth in the past decade, with Artificial Neural Networks (ANNs) being the most commonly employed type of AI technology. In 2023, ANNs are projected to be employed in more than 95% of neural networks applications, primarily because of the field’s ability to interpret data and create decisions based on knowledge acquired from experience. This is especially true for healthcare, where the global AI in healthcare market size is forecast to reach $39.96 billion by 2023, with a CAGR of 39.4%. Automated Machine Learning (AutoML) is expected to be responsible for the majority of AI deployments in industrial contexts, growing from 40% in 2019 to 50% by 2023.

In terms of geographical markets, it is projected that China and North America will hold the largest share of the total AI market, with Europe projected to increase its share significantly, rising from 7.7% in 2018 to 17.8% in 2023. By 2023, the global market for computer vision and image processing is expected to reach $25.61 billion, with a CAGR of 17.2%. Moreover, the oil & gas industry has the highest CAGR of AI use by 2023, estimated at 45.4%, followed by the manufacturing sector at 38.3%.

Additionally, according to a survey by Gartner, 60% of businesses are already deploying AI or plan to deploy it by the end of 2023, with global investments in Artificial Intelligence (AI) and Machine Learning (ML) projects expected to surpass $103 billion in 2023. Moreover, the chatbot market size is expected to grow to $1.3 billion by 2023, with an estimated CAGR of 24% during the forecast period.

Overall, Artificial Neural Networks (ANNs) have had a drastic impact on the field of AI technology, enabling businesses and organizations to leverage their capability to interpret data and create decisions from knowledge acquired from experience. As the demand for ANNs continues to increase in the future, so too does the expected market size and investments for AI, ML, computer vision and image processing, and chatbot technology.