AI-driven software-as-a-service (SaaS) applications
Posted: Sun Jan 19, 2025 5:53 am
Enterprise software
As in other countries, companies based in China are undergoing digital and AI transformation, leading to the emergence of new local enterprise software industries to support the necessary technological foundations.
AI in China: In 2021, China rolled out its first national autonomous driving classification standards.
The solutions provided by these companies are estimated to generate another $80 billion in economic value. Cloud computing and AI offerings are expected to account for more than half of that value ($45 billion). In one case, a local cloud provider serves more than 100 local banks and insurance companies in China with an integrated data platform that runs on both cloud and on-premises environments and reduces the cost of database development and storage.
In another case, an AI tool provider in China developed a shared AI bhutan email address algorithm platform that can help data scientists automatically train, predict, and update a model for a given forecasting task. Using the shared platform reduced the model production time from three months to about two weeks.
in China are expected to account for the remaining $35 billion in economic value in this category. Local SaaS app developers can apply multiple AI techniques (e.g., computer vision, natural language processing, machine learning) to help companies make predictions and decisions across corporate functions in finance and tax, HR, supply chain, and cybersecurity. A leading financial institution in China has deployed a local AI-powered SaaS solution that uses AI bots to provide personalized training recommendations to employees based on their careers.
AI in China: The country's Taxonomy of Vehicle Automation provides official definitions of self-driving cars.
Healthcare and Life Sciences
In recent years, China has increased its investment in AI-powered innovation in health and life sciences. China’s 14th Five-Year Plan calls for 7 percent annual growth in R&D spending by 2025 , with at least 8 percent going to basic research.
As in other countries, companies based in China are undergoing digital and AI transformation, leading to the emergence of new local enterprise software industries to support the necessary technological foundations.
AI in China: In 2021, China rolled out its first national autonomous driving classification standards.
The solutions provided by these companies are estimated to generate another $80 billion in economic value. Cloud computing and AI offerings are expected to account for more than half of that value ($45 billion). In one case, a local cloud provider serves more than 100 local banks and insurance companies in China with an integrated data platform that runs on both cloud and on-premises environments and reduces the cost of database development and storage.
In another case, an AI tool provider in China developed a shared AI bhutan email address algorithm platform that can help data scientists automatically train, predict, and update a model for a given forecasting task. Using the shared platform reduced the model production time from three months to about two weeks.
in China are expected to account for the remaining $35 billion in economic value in this category. Local SaaS app developers can apply multiple AI techniques (e.g., computer vision, natural language processing, machine learning) to help companies make predictions and decisions across corporate functions in finance and tax, HR, supply chain, and cybersecurity. A leading financial institution in China has deployed a local AI-powered SaaS solution that uses AI bots to provide personalized training recommendations to employees based on their careers.
AI in China: The country's Taxonomy of Vehicle Automation provides official definitions of self-driving cars.
Healthcare and Life Sciences
In recent years, China has increased its investment in AI-powered innovation in health and life sciences. China’s 14th Five-Year Plan calls for 7 percent annual growth in R&D spending by 2025 , with at least 8 percent going to basic research.