세계의 고성능 데이터 분석 시장 규모는 2024년 1,086억 6,000만 달러였습니다. 2030년까지 3,518억 7,000만 달러에 달할 것으로 예측됩니다. 고성능 데이터 분석은 고성능 컴퓨팅(HPC) 기능과 고성능 데이터분석 기술을 통합하여 대규모 데이터 세트를 효율적으로 처리 및 분석하는 것으로 정의할 수 있습니다. 첨단 컴퓨팅 기술과 견고한 분석 툴을 통합함으로써 기업은 보다 빠른 인사이트를 확보하고 의사결정 프로세스를 강화하며 비즈니스 전반의 혁신을 추진할 수 있습니다.
향후 몇 년 동안 HPDA(High Performance Data Analytics) 시장은 여러 동향의 수렴으로 계속 성장할 것으로 예상됩니다. 주요 요인 중 하나는 의료, 금융, 제조 등 산업 전반에 걸쳐 실시간 데이터 처리에 대한 수요가 증가하고 있다는 것입니다. 빅데이터, AI, 클라우드 컴퓨팅 기술의 급속한 채택으로 조직은 방대한 데이터 세트를 효율적으로 분석할 수 있습니다. 또한 조직이 효율성 향상과 비용 절감에 주력하는 동안 고성능 데이터 분석 솔루션 수요는 다양한 부서에서 높아질 것으로 예측됩니다. 종합하면 세계의 고성능 데이터 분석 시장은 데이터를 활용하여 경쟁 우위를 확보하고 혁신을 추진하는 가치가 산업에서 점점 인식되고 지속적인 성장을 기대할 수 있는 상황에 있습니다. 기술의 진보, 비즈니스 요구의 진화, 지속가능성의 중시가 결합됨으로써 향후 몇 년간 고성능 데이터 분석의 정세가 형성될 가능성이 높습니다. 시장은 2025-2030년의 예측 기간에 CAGR 약 22%의 성장이 예상됩니다.
이 보고서는 세계의 고성능 데이터 분석 시장에 대한 조사 분석을 통해 시장 역학, COVID-19의 영향, 경쟁 구도 등에 대한 정보를 제공합니다.
The global high-performance data analytics market was valued at US$108.66 billion in 2024. The market value is expected to reach US$351.87 billion by 2030. High-Performance Data Analytics (HPDA) can be defined as the integration of high-performance computing (HPC) capabilities with advanced data analytics techniques to efficiently process and analyze large datasets. By integrating advanced computing techniques with robust analytical tools, businesses can achieve faster insights, enhance decision-making processes, and drive innovation across their operations.
In the forthcoming years, the high-performance data analytics market is expected to continue growing due to several converging trends. One key factor is the increasing demand for real-time data processing across industries such as healthcare, finance, and manufacturing. The rapid adoption of big data, artificial intelligence (AI), and cloud computing technologies is enabling organizations to analyze vast datasets efficiently. Additionally, as organizations focus on improving efficiency and reducing costs, the demand for high-performance data analytics solutions is expected to rise across various sectors. In summary, the global high-performance data analytics market is well-positioned for sustained growth as industries increasingly recognize the value of leveraging data to gain competitive advantages and drive innovation. The combination of technological advancements, evolving business needs, and a focus on sustainability is likely to shape the landscape of high-performance data analytics in the coming years. The market is expected to grow at a CAGR of approx. 22% during the forecasted period of 2025-2030.
Market Segmentation Analysis:
By Component: According to the report, the global high-performance data analytics market is segmented into three components: Hardware, Software, and Services. Hardware segment acquired majority of share in the market in 2024 due to the increasing demand for advanced computing infrastructure required to handle large-scale data processing and storage needs. High-performance data analytics relies on powerful hardware, such as servers and specialized processors, which are critical for efficiently processing vast amounts of data. On the other hand, the services segment is expected to grow at the fastest CAGR because businesses increasingly seek specialized services like cloud computing, data management, and analytics consulting to optimize their operations. These services help organizations implement and manage complex data analytics solutions without heavy in-house investments in technology and expertise.
By Deployment: Based on the deployment, the global high-performance data analytics market can be divided into two segments: On-Premise and On-Demand. Among the deployments, on-demand high-performance data analytics segment dominated the market in 2024. This market's dominance is attributed to the growing adoption of cloud-based solutions, which offer scalability, flexibility, and cost-effectiveness for businesses. On-demand analytics allow organizations to access powerful data processing capabilities without the need for significant upfront investments in on-premise infrastructure. The ability to scale resources as needed, pay only for what is used, and quickly deploy advanced analytics solutions has made on-demand services increasingly attractive to companies seeking efficient and dynamic data-driven insights.
By Organization Size: Based on organization size, the market can be bifurcated into two segments: Large Enterprises and Small and Medium Enterprises. The large enterprises segment held a significant share of the global high-performance data analytics market due to their ability to invest in advanced analytics solutions for managing vast, complex datasets. These organizations require powerful tools for business intelligence, predictive modeling, and AI-driven decision-making to stay competitive. Their capacity to implement on-premise or hybrid infrastructures tailored to security and compliance needs, along with the growing adoption of AI, machine learning, and cloud technologies, further drives market growth. The increasing need for data-driven decision-making and automation would continue to support this segment's growth in the coming years.
By End User: The report provides the split of global high-performance data analytics market in terms of end-user: BFSI (Banking, Financial Services, and Insurance), Retail and E-Commerce, Energy and Utilities, Government and Defense, and other. The BFSI segment holds a significant share of the global high-performance data analytics market. A key growth driver for this segment is the increasing need for real-time data analysis to enhance decision-making, risk management, fraud detection, and customer personalization. As financial institutions and insurers handle large volumes of sensitive data, they rely on high-performance analytics to improve operational efficiency, ensure compliance with regulatory standards, and gain a competitive edge in delivering tailored services to their clients. The growing adoption of AI and machine learning in financial services further boosts the demand for advanced analytics solutions in this sector.
By Region: The report provides insight into the high-performance data analytics market based on the geographical operations, namely North America (The US, Mexico and Canada), Europe (Germany, UK, France, Italy, and the Rest of Europe), Asia Pacific (China, Japan, India and the Rest of Asia Pacific), and Rest of the World. North America high-performance data analytics market captured the highest market share in 2024, due to the region's strong technological infrastructure, widespread adoption of advanced analytics, and the presence of leading companies investing in AI, machine learning, and cloud technologies. Additionally, industries such as finance, healthcare, and retail in North America are increasingly relying on data-driven insights to enhance operational efficiency and maintain a competitive edge, driving the demand for high-performance data analytics solutions. The US held the majority of share within North America, owing to its advanced technological infrastructure, high levels of investment in research and development, and the presence of major tech companies leading innovations in high-performance data analytics.
In Asia Pacific, the high-performance data analytics market is gaining traction owing to rapid digital transformation across various industries, increasing investments in cloud computing and AI technologies, and the growing volume of data generated by businesses and consumers. The region's expanding tech ecosystem, along with government initiatives to promote smart cities and digital economies, is further driving the adoption of advanced data analytics solutions.
Market Dynamics:
Growth Drivers: The global high-performance data analytics market growth is predicted to be supported by numerous growth drivers such as expanding data volumes, rising adoption of cloud computing, proliferation of OT/IOT and connected devices, rapid growth in number of IT and database industry, and many other factors. The increasing focus on data-driven decision-making is a significant trend driving the growth of the global High-Performance Data Analytics (HPDA) market. Organizations across various industries are realizing the value of data in shaping strategic decisions and gaining a competitive edge. With the expanding volume of data being generated, companies are shifting from traditional decision-making processes to approaches that leverage advanced analytics to extract actionable insights. This change enables businesses to improve operational efficiency, optimize resources, and enhance decision-making capabilities. As a result, there is an increased demand for HPDA solutions that can process, analyze, and interpret large and complex datasets quickly, allowing organizations to make informed decisions in real-time or near real-time.
Challenges: However, the market growth would be negatively impacted by various challenges such as mounting concerns over data privacy, significant initial investment costs, etc.
Trends: The market is projected to grow at a fast pace during the forecast period, due to various latest trends such as escalating edge computing, high emergence of advanced technologies like AI, advancements in high performance computing activities, surging adoption of real-time analytics, etc. Rising regulatory compliance requirements are shaping the global High-Performance Data Analytics (HPDA) market as businesses face increasing pressure to meet stricter rules on data privacy, security, and ethical use. Regulations like GDPR, CCPA, and sector-specific mandates in healthcare and finance are driving organizations to invest in HPDA solutions that ensure data security, governance, and transparency. These solutions help manage large datasets, track data usage, and protect sensitive information, while adhering to data sovereignty laws. As compliance becomes more critical, the demand for secure, compliant HPDA platforms is fueling market growth.
Impact Analysis of COVID-19 and Way Forward:
The COVID-19 pandemic had a positive impact on the global High-Performance Data Analytics (HPDA) market as businesses rapidly shifted to digital and cloud-based operations. This surge in digital transformation increased the volume of data generated and highlighted the need for more advanced analytics to manage and extract insights from vast datasets. The rise of remote work and the growing reliance on cloud infrastructure created new opportunities for HPDA solutions, as companies sought to optimize operations, enhance decision-making, and maintain competitiveness. The pandemic also accelerated the adoption of AI and machine learning in analytics, driving the demand for robust and scalable data analytics platforms.
Competitive Landscape:
The global high-performance data analytics market is highly competitive in nature, with a mix of established industry leaders and emerging players. The key players in the global high-performance data analytics market are:
IBM Corporation
Microsoft Corporation
Alphabet Inc. (Google Cloud Platform)
Amazon.Com, Inc. (Amazon Web Services, Inc.)
Intel Corporation
Atos SE
Oracle Corporation
Hewlett Packard Enterprise Company
Dell Technologies Inc.
SAS Institute Inc.
Fujitsu Limited
Teradata Corporation
Juniper Networks, Inc.
The key players are constantly investing in strategic initiatives, such as new product launch, introducing their products to emerging markets and more, to maintain a competitive edge in this market. For instance, in January 2025, Amazon Web Services (AWS) announced a collaboration with HERE Technologies to enhance the development of Software-Defined Vehicles (SDVs) by combining AWS cloud infrastructure with HERE's mapping solutions. Similarly, in April 2024, SAS unveiled a host of features aimed at helping analytics users more efficiently access and analyze data with AI, including a generative AI assistant and prebuilt AI models.