1. iFLYTEK and Huawei jointly released an enterprise-specific large-model all-in-one machine
Recently, at the iFLYTEK Spark Cognitive Model V2.0 Upgrade Conference, iFLYTEK Co., Ltd. and Huawei released the Spark All-in-One Machine, allowing all enterprises to privately deploy the Spark model more conveniently, autonomously, more securely, and controllably on the platform of domestic independent innovation.
Xinghuo all-in-one machine is a private exclusive large model solution that integrates domestic software and hardware, which can be used right out of the box, providing full-stack AI capabilities such as underlying computing power, AI framework, training algorithm, reasoning ability, and application effectiveness, helping enterprises build exclusive large models. iFLYTEK has been deeply engaged in office, government affairs, electric power, education, medical, industry, justice, finance and other industries for many years, and has accumulated rich experience in scene implementation. The Spark all-in-one machine has covered more than 10 scenario packages such as office, code, operation and maintenance, customer service, marketing, procurement, etc., and supports 5 customized optimization modes such as dialogue development, task orchestration, plug-in execution, knowledge access, and prompt engineering, and will continue to expand more professional scenarios and mode optimization to quickly customize enterprise-specific large models for customers. The Xinghuo all-in-one machine also has hardware customization for the training algorithm and inference application of the Xinghuo cognitive intelligence large model, which can greatly reduce the cost of use of enterprises.
2. Industry financial data analysis
In recent years, iFLYTEK Co., Ltd. has actively deployed in the field of artificial intelligence. The artificial intelligence industry chain is basically divided into three levels: basic layer, technology layer and application layer, and the basic layer includes AI chips, smart sensors, cloud computing, data services, 5G communications, etc.; The technical layer includes machine learning, computer vision, algorithm theory, intelligent speech, natural language processing, etc.; The application layer includes robots, drones, smart healthcare, smart transportation, smart finance, smart home, smart education, smart security, etc.
(1) The asset structure is relatively stable
The total assets of artificial intelligence in 2022 will be 2,814.773 billion yuan. Among them, current assets amounted to RMB1,732.844 billion, mainly distributed in monetary funds, accounts receivable, inventory and transactional financial assets, accounting for 35.61%, 24.54%, 22.76% and 5.93% of the total current assets of the industry, respectively. Non-current assets amounted to RMB1,081.929 billion, mainly distributed in fixed assets and long-term equity investment, accounting for 39.47% and 10.28% of the total non-current assets of the industry respectively. Through the comparison of industry data in the past three years, the return on assets has remained basically unchanged, indicating that the level of benefit obtained by industry unit assets is relatively stable. The turnover speed of total assets has decreased, indicating that the number of turnover days is high, the operational efficiency and sales capacity of industry assets have declined, and the industry should take appropriate measures to improve the utilization degree of various assets, and timely deal with those excess and idle assets that cannot improve the utilization rate to improve the turnover rate of total assets; Current assets/total assets are basically unchanged, indicating that the liquidity, adaptability, opportunities for profit creation and development, and potential for accelerating capital turnover of assets are relatively stable; Long-term investment/total assets are basically unchanged, indicating that the proportion of strategic investment in the industry is basically stable, the asset appreciation ability is stable, and the pressure on industry funds has not changed much, and the impact on the liquidity of assets is not large; Intangible assets/total assets remain basically unchanged, indicating that the development and innovation capabilities have not changed much, and the comprehensive competitiveness of the industry is relatively stable.
Chart: Artificial Intelligence Industry Asset Composition Chart in 2022
Chart: Artificial Intelligence Industry Asset Composition Table 2020-2022
(2) The operating strength of enterprises in the industry has been significantly enhanced
From the perspective of long-term investment and financing in the industry in 2022, long-term investment and financing activities provided 715.893 billion yuan of working capital for the industry, indicating that the financing activities of this industry ensured the capital needs of investment activities in the industry, and the investment and financing activities of the industry were carried out in a coordinated manner.
The working capital in 2022 was RMB715.893 billion, an increase of 6.03% compared with RMB675.165 billion in 2021, which to a certain extent reflects the enhanced operating strength of enterprises in the industry and the improvement of the adequacy of working capital, and at the same time, it is necessary to pay attention to the turnover of assets and changes in the structure of liabilities of enterprises in the industry, and adjust them in a timely manner to avoid excessive asset utilization efficiency or excessive capital costs.
Chart: Table of changes in working capital increase and decrease in AI industry from 2020 to 2022
Third, the development status of the industry - artificial intelligence industry
Artificial intelligence is an important part of the national strategy, the focus of future international competition and a new engine of economic development. In recent years, the Chinese industry has been highly valued by governments at all levels and supported by national industrial policies, and the state has successively issued a number of policies to encourage the development and innovation of the artificial intelligence industry, such as "Notice on Supporting the Construction of a New Generation of Artificial Intelligence Demonstration Application Scenarios", "Guiding Opinions on Accelerating Scene Innovation and Promoting High-quality Economic Development with High-level Application of Artificial Intelligence", "Three-Year Action Plan for the Development of New Data Centers (2021-2023)" and other industrial policies have provided a long-term guarantee for the development of the mainland's artificial intelligence industry.
As an important driving force to promote a new round of technological change and industry transformation, artificial intelligence will further promote the transformation of various industries in mainland China from digitalization and networking to intelligence with the help of discipline research and development, scientific modeling, technological innovation, and software and hardware applications. The China Academy of Information and Communications Technology estimates that the scale of the core artificial intelligence industry in mainland China will reach 508 billion yuan in 2022, a year-on-year increase of 18%, and the number of enterprises will be close to 4,000.
Among the four categories of the artificial intelligence industry, visual artificial intelligence accounts for the largest proportion, reaching 43.3%. It was followed by decision-making artificial intelligence, speech and semantic artificial intelligence, and artificial intelligence robots, accounting for 23.7%, 18.1%, and 14.8% respectively.
Policies such as "Made in China 2025" and "Digital China" promote the informatization and intelligent upgrading and transformation of China's industries, which will provide more practical application scenarios for the development of artificial intelligence chips. Data show that in 2021, the scale of the mainland AI chip market reached 42.7 billion yuan, a year-on-year increase of 124%. Under the combined effect of policy, market and technology, China's AI chip industry will develop rapidly, and it is expected that the scale of the mainland AI chip market will reach 120.6 billion yuan in 2023.
From the perspective of application fields, at present, mainland artificial intelligence has different degrees of application in many links such as human-machine dialogue, remote operation, quality control and risk control, marketing operation, and decision support in government, finance, Internet, retail and other fields, and the main customers in the industry are mainly from the above fields. Among them, the market share of government city management and operation is close to 50%, which has become an important driving force for the development of the artificial intelligence industry in mainland China. It is followed by the Internet, accounting for 18%. The third is finance, accounting for 12%.