On December 29, 2020, IDC released the report of "IDC FutureScape: GLOBAL AI Market 2021 forecast - China". In the report, IDC's global analyst team described the main driving factors that influence IT and business decision makers to take charge of this expenditure and effectively use related solutions, and gave ten forecasts for artificial intelligence projects from 2021 to 2025.
IDC Releases the followoing 10 Forecasts in 2021 China AI Market:
By 2023, more than 15% of consumer-centric AI decision-making systems in the financial, medical, government, and other regulated public sectors will introduce relevant regulations that explain their analysis and decision-making processes.
By 2021, more than 50% of organizations will add AI capabilities to the incoming call processing environment.
By 2024, 45% of repetitive tasks will be automated or enhanced through the use of “digital workers” supported by AI, robotics and robotic process automation (RPA).
By 2023, the number of data analysts and data scientists who are using an end-to-end machine learning platform from data preparation to model deployment and which is encapsulated using automated machine learning (AutoML) technology, will double.
By 2024, automated operation and maintenance (AIOps) will become the new normal status of IT operations, and at least 50% of large enterprises will adopt automated operation and maintenance solutions to automate major IT systems and service management processes.
By 2025, 10% of artificial intelligence solutions will be closer to general artificial intelligence (AGI) - using neural symbol technology to combine deep learning with symbolic methods to create more reliable, nearly human decision-making methods.
By 2021, at least 65% of China’s top 1000 companies will use AI tools such as natural language processing (NLP), machine learning (ML) and deep learning (DL) to empower 60% in business cases like customer experience, security, operation management and procurement.
By 2024, more than 30% of China’s top 1000 companies will deploy AI workloads more evenly on the end, edge, and cloud. These workloads will be managed by artificial intelligence software platform providers, making AI infrastructure “invisible” ".
By 2023, 30% of enterprises will run different analysis and AI models on the edge. Among them, 30% of edge AI applications will be accelerated by heterogeneous acceleration solutions.
By 2022, 80% of China's top 1000 companies will invest in internal learning platforms and third-party training services to meet the needs of new skills and work style changes brought about by the adoption of AI.
For more information, please visit IDC official website: https://www.idc.com/getdoc.jsp?containerId=CHC47068520
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