Development Status of Big Data Industry in 1. Industry

1. The concept and characteristics of industrial big data

Industrial big data refers to the massive, diverse, real-time and value-intensive data generated in the process of industrial production and management, as well as the technologies and methods for collecting, storing, analyzing, mining and applying these data. Industrial Big Data has the following characteristics:

Massive: The scale of industrial big data far exceeds the processing power of traditional databases, requiring new storage and computing platforms.

Diversity: Industrial big data comes from many types of devices, sensors, networks, systems, etc., covering structured, semi-structured and unstructured data.

Real-time: Industrial big data has the characteristics of high-speed generation and change, and needs to be processed and responded in real-time or near real-time.

Value-intensive: Industrial big data contains huge potential value. Through analysis and mining, it can improve production efficiency, quality and safety, reduce costs and risks, and create new business models and value points.

2. Development background and motivation of industrial big data

Industrial big data is the key to the future industry to play an advantage in the global market competition. German industry.4.0Or the U.S. industrial Internet, all countries will be aimed at the industrial development strategy“Big Data”and“Intelligent”In the future, industrial innovation and development represented by manufacturing will be based on industrial big data technology. The development of industrial big data has the following background and motivation:

The need for global manufacturing transformation and upgrading. Facing the challenges of slowing global economic growth, increasing environmental resource constraints, and diversified consumer demand, traditional manufacturing industries need to improve efficiency, quality and innovation capabilities through digital transformation, and enhance core competitiveness. As an important means of digital transformation, industrial big data can help manufacturing enterprises to achieve intelligent production, fine management, personalized customization and other goals.

The rapid development of a new generation of information technology. With the rapid development of new-generation information technology such as the Internet of Things, cloud computing, and artificial intelligence, it provides more powerful technical support for the collection, storage, analysis and application of industrial big data. Internet of Things technology can realize intelligent connection and interaction between devices, cloud computing technology can provide elastic and scalable computing resources, and artificial intelligence technology can realize intelligent analysis and decision-making of complex data.

Leading and supporting national policies and strategies. Governments of all countries attach great importance to the development of digital economy and industrial big data, and have issued relevant policies and strategies to provide a good policy environment for the industrial big data industry. For example, my country's "Thirteenth Five-Year" National Informatization Plan clearly proposes to accelerate the construction of a manufacturing power and accelerate the integrated development of manufacturing and the Internet; "Made in China2025It is clearly proposed to build an intelligent manufacturing system, and the New Generation Artificial Intelligence Development Plan clearly proposes to promote the deep integration of artificial intelligence and the real economy.

3. Industrial big data market size

The size of the global industrial big data market in 2022 is313US $100 million, accounting for more than the global big data market50%. expected2023By the end of the year, the global industrial big data market will reach463Billion US dollars, accounting for a proportion of the global big data market60%。

From the perspective of regional distribution, North America is the world's largest industrial big data market, mainly benefiting from its advanced information technology infrastructure, mature digital industrial ecology and strong demand for manufacturing transformation and upgrading. Europe is the world's second largest industrial big data market, mainly benefiting from its leading manufacturing level, rich cross-industry application scenarios and the improvement of the digital economy governance system. The Asia-Pacific region is the fastest-growing industrial big data market in the world, mainly benefiting from its large and diversified manufacturing base, fast-growing and innovative digital industrial clusters, and strong demand for digital transformation and innovation awareness.

In terms of industry distribution, the manufacturing industry is the world's largest industrial big data market, mainly benefiting from its urgent need to improve production efficiency, quality and safety, reduce costs and risks, and create new business models and value points. Energy, transportation, medical, agriculture and other industries are also important application areas of industrial big data, mainly benefiting from its important role in optimizing resource allocation, improving service levels, and enhancing social well-being.

The size of China's industrial big data market in 2022 is1469Billion yuan, accounting for about the size of the global industrial big data market.32.6%. expected2023By the end of the year, the scale of China's industrial big data market will reach2000Billion yuan, accounting for the proportion of the global industrial big data market.43.2%。

From the perspective of regional distribution, the eastern region is China's largest industrial big data market, mainly benefiting from its advanced information technology infrastructure, complete digital industrial ecology, and strong demand for manufacturing transformation and upgrading. The central region is the fastest growing industrial big data market in China, mainly benefiting from its large and diversified manufacturing base, fast-growing and innovative digital industrial clusters, and strong demand for digital transformation and innovation awareness.

From the perspective of industry distribution, the manufacturing industry is China's largest industrial big data market, mainly benefiting from its urgent need to improve production efficiency, quality and safety, reduce costs and risks, and create new business models and value points. Energy, transportation, medical, agriculture and other industries are also important application areas of industrial big data, mainly benefiting from its important role in optimizing resource allocation, improving service levels, and enhancing social well-being.

2. industry big data industry competition pattern

1. Global competitive landscape

The global industrial big data industry competition pattern is mainly composed of three types of participants: information technology enterprises, manufacturing enterprises and professional service organizations.

Information technology enterprises: mainly provide industrial big data related infrastructure, platform, software and solutions and other products and services, with strong technical advantages and market influence. On behalf of the enterprise hasIBMMicrosoft, Google, Amazon, Alibaba, Huawei, etc.

Manufacturing enterprises: mainly use industrial big data to improve their own production and operation efficiency, or develop and utilize industrial big data as a new business model and value point, with strong industry knowledge and application scenario advantages. Representative companies include General Electric, Siemens, Boeing, General Motors, Sany Heavy Industries, etc.

Professional service organizations: mainly provide consulting, training, evaluation and other professional services for information technology enterprises and manufacturing enterprises, help customers realize the collection, analysis and application of industrial big data, and have strong service capabilities and customer resource advantages. Representative agencies include McKinsey, Deloitte, Accenture, etc.

The competitive landscape of the global industrial big data industry presents the following characteristics:

Fierce competition: With the rapid development of the industrial big data industry, all kinds of participants are accelerating the layout and innovation, forming a diversified competition pattern. Information technology companies compete fiercely in terms of infrastructure, platforms, software, and solutions; manufacturing companies compete fiercely in using industrial big data to improve their own efficiency or develop new business models and value points; professional service organizations compete fiercely in terms of service quality, service scope, and service innovation.

Win-win cooperation: As the industrial big data industry continues to mature, various participants have gradually formed a win-win situation. Information technology companies and manufacturing companies jointly develop and promote industrial big data solutions through the establishment of strategic partnerships; information technology companies and professional service organizations jointly provide industrial big data consulting, training, and evaluation through the establishment of ecological partnerships And other services; manufacturing companies and professional service organizations jointly implement industrial big data projects through the establishment of commissioned partnerships.

Innovation-driven: With the continuous development of the industrial big data industry, innovation has become the core competitiveness of various participants. Information technology companies continue to develop and introduce new industrial big data technologies and products to enhance their technological advantages and market influence; manufacturing companies continue to explore and apply new industrial big data scenarios and models to enhance their own efficiency advantages and value Creativity; professional service organizations improve their service advantages and customer satisfaction through continuous innovation and optimization of industrial big data service methods and content.

2. China's competitive landscape

China's industrial big data industry competition pattern is mainly composed of three types of participants: information technology enterprises, manufacturing enterprises and professional service institutions.

Information technology enterprises: mainly provide industrial big data related infrastructure, platform, software and solutions and other products and services, with strong technical advantages and market influence. Representative enterprises include Huawei, Alibaba, Tencent, Baidu, jingdong cloud, Langchao, etc.

Manufacturing enterprises: mainly use industrial big data to improve their own production and operation efficiency, or develop and utilize industrial big data as a new business model and value point, with strong industry knowledge and application scenario advantages. Representative companies include Haier, CNR, AVIC, ZTE, Sinopec, etc.

Professional service organizations: mainly provide consulting, training, evaluation and other professional services for information technology enterprises and manufacturing enterprises, help customers realize the collection, analysis and application of industrial big data, and have strong service capabilities and customer resource advantages. Representative institutions include the Chinese Academy of Information and Communications Technology, the Institute of Computing of the Chinese Academy of Sciences, and the School of Software of Tsinghua University.

The competitive landscape of China's industrial big data industry presents the following characteristics:

Competition Intensified: As Made in China2025With the implementation of the strategy, industrial big data has become an important means to promote the transformation and upgrading of manufacturing. All kinds of participants are speeding up the layout and innovation, forming a diversified competition pattern. Information technology enterprises compete fiercely in infrastructure, platform, software and solutions. Manufacturing enterprises are using industrial big data to improve their own efficiency or develop new commercial and industrial big data, which refers to the massive data generated in the process of industrial production and management, including equipment data, product data, process data, quality data, energy consumption data, environmental data, etc. Industrial big data has the characteristics of large scale, multiple types, high value, strong real-time performance, and high accuracy. It is an important resource and driving force to promote industrial transformation and upgrading and intelligent development.

There are many application cases of industrial big data, such:

Alibaba Cloud Cloud Native Integration Data Warehouse: This is an Alibaba Cloud Big Data productMax Compute、DataWorks、HologresThe one-stop big data processing platform with three product capabilities can solve the global data analysis needs of enterprises on timeliness, accuracy, cost performance, unstructured data support analysis and decision-making, and heterogeneous big data platform in the construction of big data platform. The platform has been used in industrial manufacturing, e-commerce, logistics, finance, government affairs and other industries, comprehensively helping the digital transformation of all walks of life and driving business innovation and change.

Dream Pay is based on Huawei Cloud's one-stop digital intelligence integration platform innovative application: this is an innovative application for the "new e-commerce" field, using Huawei Cloud's big data and artificial intelligence technology to enable200million“Baoma”No investment costs, no complex digital technology background, you can use the fragmented time for digital circle e-commerce marketing. The application uses data intelligence for business innovation and social value creation, and is also included in the United Nations Sustainable Development Goals (SDGs) best case.

Provincial government data open platform based on privacy computing: this is a federal platform based on insights (Insight One) of the mature framework development platform, supports multi-party secure computing and federal learning fusion application mode, and through the federal blockchain to ensure the non-tamperability and traceability of the process, to achieve the original data out of the private domain can be completed data sharing applications, to achieve "data available invisible, computing credible can be linked", to help the government solve the "dilemma" of data openness and privacy protection. The platform can serve many scenarios such as hidden security query, joint security statistical analysis, multi-party joint modeling, and bank-government-enterprise cooperation (local financial service platform).

Puyuan Data Asset Management Platform: This is a management tool for indicators and indicator systems for governments./City/Industry customers, to provide indicator standard definition, indicator system construction, indicator processing and data binding, indicator intelligent perception monitoring, indicator sharing and openness and other indicator system life cycle operation management, with digitalization as the core drive, to achieve the indicator system available, manageable, can be insight, and promote the change of management business.

K2Assets®Industrial Data Intelligence Platform: This is an enterprise-class industrial big data and artificial intelligence software platform for industrial equipment and production, helping asset-intensive leading industrial enterprises to reduceDTwithAITechnical threshold, accelerate the precipitation and application of industrial technology knowledge, enhance the enterprise's endogenous digital intelligence innovation ability. The platform has built-in out-of-the-box domain data models and analytical models, empowering industrial technology experts to independently develop digital applications, making expertise an asset for sustainable iterative and service-oriented operations.