IDC: It is estimated that China's big data IT expenditure will reach 621.7 billion US dollars in 2028.

Recently, International Data Corporation (IDC) released the 2025 version 1 "Global Big Data Spending Guide". IDC's latest data shows that the global big data IT total investment in 2024 is approximately $354 billion, and is expected to reach close to $644.1 billion in 2028, with a compound annual growth rate (CAGR) of approximately 16.8% over five years. Focusing on the Chinese market, IDC predicts that in 2028, China's big data IT spending is expected to be $62.17 billion, accounting for about 10% of the global total, with a CAGR of approximately 24.9%, ranking first in the world in terms of growth rate. The pressure on the Chinese big data market is increasing, and the overall market growth rate is slowing down. In the short term, the wave of industrial digital transformation and the deepening application of artificial intelligence have raised the standards for data quality and timeliness, driving enterprises to continue to strengthen their data governance systems and data asset management, injecting development momentum into the big data market. The slowing growth of domestic demand and intense competition are driving enterprises to expand their business overseas, promoting the demand for big data platforms and solutions. In the long term, as government and corporate budgets gradually release and the market gradually matures, the growth rate of China's big data IT spending will gradually stabilize. Technological Dimension From the perspective of the hardware market, a large proportion of China's big data IT investment will still flow into the hardware market, accounting for close to 45%. The rapid development of artificial intelligence technology, especially the popularization of large model training and inference applications, has driven the global demand for high-performance computing servers. At the same time, the continuous expansion of data volume has led to an increasing demand from enterprises for efficient and reliable storage solutions, with storage devices still being one of the core focuses of big data investment. However, after years of large-scale construction, the hardware infrastructure of enterprise users has become increasingly perfect, so the overall hardware spending growth rate is expected to gradually slow down. The big data software market has great development potential in the five-year forecast period. IDC predicts that the software market size will exceed $18.1 billion in 2028, with a CAGR of approximately 19.5% over five years. As data volume continues to expand and algorithm complexity keeps increasing, more and more enterprises are seeking commercial software solutions with high-performance query and intelligent analysis capabilities, thus driving the development of the big data software market. In terms of software segmentation market, the largest technology submarkets in terms of expenditure are AI Software Platforms, Supply Chain and Product Analytics Applications, and Content Analytics Tools. Focusing on the big data services market, the scale of big data service spending in the Chinese market is close to $16.3 billion in 2028. In the face of the global trend of slowing service market growth, the Chinese big data service market will steadily grow with a five-year compound annual growth rate (CAGR) 1.5 times higher than the global average. Industry Applications IDC predicts that over the next five years, government, finance, and software and information services industries will be the industries with relatively large expenditures in the big data technology market, accounting for nearly 50% of the entire market. The government sector is promoting the large-scale deployment of big data technology to improve social governance efficiency and public service levels, with core application scenarios including smart cities, public safety, and government services. With the continuous expansion of data volume and increasingly complex algorithm models, financial institutions have significantly increased their demand for data management platforms and intelligent analysis tools. This trend is driving enterprises to increase their investment in areas such as data system optimization, real-time computing, and intelligent decision-making, thereby promoting the deep development of the digitization and intelligence transformation of the financial industry. End-User Enterprise Scale IDC's "Global Big Data Spending Guide" divides end-user enterprise scale into five ranges from top to bottom, providing further insights into big data spending from the perspective of enterprise scale. "Gen AI+" is deeply transforming various industries, and the demand for big data, management capabilities, and real-time data analysis requirements of enterprises will continue to increase. Large enterprises and medium-sized enterprises have good big data systems and professional teams, relying on advantageous data resources, high-level information technology, and strong budget expenditure capacity. It is expected that big data spending will grow steadily during the five-year forecast period, accounting for over 80% of the market overall. Different from large enterprises focusing on platform construction, medium-sized enterprises prefer industry-specific big data solutions. Deep optimization for specific scenarios is becoming a key consideration for medium-sized enterprises when choosing technology service providers. With the help of cloud services, small and medium-sized enterprises can implement big data solutions in a more flexible and cost-effective way, accelerate digitization, and enhance market competitiveness. Although the expenditure share of small and medium-sized enterprises in the overall big data market is relatively small, the overall growth rate is faster.