Data intelligence is a hot application in the current market. However, the industry lacks in-depth discussion and research on the development of data intelligence. In order to systematically sort out the market panorama of China's data intelligence industry, clarify the development of the industry, and provide valuable reference for practitioners, Haibi Research Institute, China Software Network, and China Software Industry Association Application Software Product Cloud Service Branch launched the "2022 China Data Intelligence Market and Selection Evaluation Research Report to promote the healthy and rapid development of the data intelligence market and promote the digital transformation of enterprises.
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In 2022, the scale of China's generalized data intelligence market will be 44.2 billion yuan
Although the concept of data intelligence has been around for many years, many people still do not have a clear definition of "data intelligence". It is not a data center, nor is it big data, nor is it business intelligence or artificial intelligence.
In this report, Haibi Research Institute defines and positions data intelligence as follows:
Data intelligence refers to various automated and intelligent work processes implemented in an organization with data-driven as the core.
The Haibi Research Institute divides the data intelligence market into a broad data intelligence market and a narrow data intelligence market. Among them, the generalized data intelligence industry includes all aspects of data lifecycle management and data capitalization, that is, data collection, processing, storage, data capitalization, etc., and business integration to form an intelligent part. The data intelligence industry in a narrow sense only includes data capitalization and business integration.
The positioning of data intelligence in the digital intelligence of enterprises is: a set of supporting tools and processing processes to realize automated and intelligent operations in the organization.
It is not a specific product that can be directly applied to business operations;
It is generally composed of a data platform and model algorithms that are compatible with business integration.
The model algorithm is then integrated with CRM, ERP, HR, procurement and other business systems to form various application scenarios of data intelligence.
Typical data intelligence application scenarios include: intelligent question and answer, intelligent search, intelligent recommendation, intelligent public opinion, intelligent pricing, intelligent push, intelligent customer acquisition, intelligent sourcing, intelligent risk control, intelligent recruitment, intelligent decision-making...
The report also pointed out that the scale of China's generalized data intelligence market will be 44.2 billion yuan in 2022, and it is expected to maintain rapid growth in the next five years, with a compound annual growth rate of 40%.
It is estimated that the overall market size will exceed 100 billion in 2025.
This is mainly due to the country's emphasis on data, which will drive users from all walks of life to increase spending on data lifecycle management.
According to the data of Haibi Research Institute, the scale of China's narrow-sense data intelligence market will be 4.5 billion yuan in 2022, and it is expected to maintain rapid growth in the next five years, with a compound annual growth rate of 54%.
It is estimated that the overall market size will exceed 10 billion in 2024, reaching 10.9 billion.
The establishment of the National Data Bureau and government data bureaus at all levels will drive the popularization of data-driven organizational operations and management concepts. At the same time, more and more data intelligence manufacturers and industry users represented by Volcanic Engine, Percent, Huawei Cloud, Baidu Smart Cloud, Alibaba Cloud, Sensors Data, etc., will quickly dig out the data driven by AI popularization technologies such as ChatGPT. Application scenarios of various intelligent services.
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Data Intelligence Market
In this report, Haibi Research Institute conducted a detailed analysis of the characteristics of the data intelligence market.
Haibi Research Institute pointed out that end users have high demand for data intelligence, and there are many demands from operations and IT departments; the number of users with demand is huge, and the market growth potential is huge.
Mainly based on the needs of large and medium-sized enterprises, the government and the financial industry are the main markets.
From the perspective of the segmented market size of generalized data intelligence, data storage is the largest, reaching 11.3 billion yuan, followed by data applications, of which the visualization market size is 2.4 billion yuan, marketing realization is 1.8 billion yuan, and internal decision-making applications are 5.4 billion yuan; again are the areas of data processing, data acquisition, and source data.
From the perspective of demand, large and medium-sized enterprises contribute a relatively high proportion of the market size, especially the government, finance, medical care, manufacturing and education industries. The data of businesses such as Neusoft, Percent, and Mingtu Technology involved in these industries The company develops relatively fast.
From the application situation of different industries , Internet, government affairs, finance, medical care, manufacturing, software and other industries have the best application prospects; followed by trading, comprehensive, construction, telecommunications, retail, logistics, energy and other industries The application prospect is also high.
From the perspective of city distribution, the data intelligence market is mainly in first- and second-tier cities , accounting for more than 80% of the overall market size, of which first-tier cities account for 39% and second-tier cities account for 43%.
From the perspective of geographical distribution, Beijing, Shanghai, Zhejiang, and Guangdong are the first echelon of the data capitalization tool market, the second echelon is Jiangsu and Hubei, and the others belong to the third and fourth echelons.
The report also points out that end users spend more on data tools between RMB 100,000 and RMB 1 million; data security and product applicability have a great influence on purchasing decisions; summits in the cloud market and big data segments have become the preferred channels for end users to learn about.
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The Internet camp has a clear advantage, and the future development of data intelligence can be expected
The competitive landscape of the domestic data intelligence market is complex and changeable. Haibi Research Institute is divided into six camps according to the characteristics of manufacturers. Judging from the current development trend, the Internet camp represented by Volcanic Engine and Alibaba Cloud has a clear advantage.
This report conducts an in-depth analysis and evaluation of typical products such as Volcanic Engine, Alibaba Cloud, Kejie Technology, and UFIDA, based on the "Six Forces Model" that is unique to Haibi Research Institute for digital product selection, evaluation, and certification.
The Haibi Research Institute report stated that the national policy supports the in-depth application of data, especially the establishment of the National Data Bureau, which will greatly promote the development of data elements, among which data intelligence is an important direction.
Haibi Research Institute believes that the data intelligence market will present several important trends in the future. First of all, in 2023, various applications including data intelligence will be built on cloud-native PaaS platforms.
At the same time, regarding ChatGPT, OpenAI, Baidu Wenxin Yiyan, 360GPT, etc., which have been out of the circle recently, Haibi Research Institute has its own unique insights: ChatGPT will greatly promote the development of the data intelligence market, but the current hype is too much; OpenAI, Baidu Wenxin Yiyan, 360GPT and other super-large model technology open interfaces will bring about the rapid integration of cognitive-level artificial intelligence technology and various business application systems, which will greatly promote the development of business intelligence.
It is worth mentioning that the survey by Haibi Research Institute found that the current market has overhyped GPT. 2023 will reach the apex of the hype cycle. It is expected that around 2025, the landing value of GPT will begin to be gradually released.
At present, although as many as 66% of manufacturers are planning to access applications such as ChatGPT or Wenxinyiyan, there are still two major obstacles: the integration scenario with business is still being explored and has not yet taken shape; after accessing GPT, the security brought by data Risks, ethical risks, legal risks, etc. are still unknown.
Haibi Research Institute also put forward suggestions that data security issues make data intelligence pay more attention to Xinchuang, and open source technology should be cautious!
In the future, Haibi Research Institute predicts that more than 50% of users will face data security challenges brought about by hybrid cloud deployment in 2025, and major accidents may occur.