Product Code: ETC4398869 | Publication Date: Jul 2023 | Updated Date: Feb 2025 | Product Type: Report | |
Publisher: 6Wresearch | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 | |
The GPU database market in Indonesia has been experiencing steady growth, driven by the increasing demand for high-performance computing solutions across various industries, including finance, healthcare, and e-commerce. This market`s expansion is due to the country`s growing digital economy and the need for efficient data processing and analytics. GPUs are essential in accelerating database queries and enabling real-time data analysis, making them a key technology for businesses aiming to gain a competitive edge in the Indonesian market.
The Indonesia GPU database market is being propelled by several key drivers. Firstly, the rapid growth of data-intensive applications and workloads in industries like finance, e-commerce, and healthcare necessitates more efficient and high-performance data processing solutions. GPU databases, with their parallel processing capabilities, enable real-time data analysis and enhance overall system performance. Additionally, the increasing adoption of AI and machine learning in various sectors demands advanced data processing capabilities, and GPUs are a crucial component in accelerating these algorithms. Moreover, the rising demand for data-driven decision-making and business intelligence solutions in Indonesia`s expanding digital economy further boosts the GPU database market, as these systems enable complex data analytics at unprecedented speeds, giving organizations a competitive edge. Lastly, the ongoing expansion of cloud services and the need for scalable and high-throughput data solutions align with the use of GPU databases, making them an essential tool for businesses looking to harness the power of big data.
The GPU database market in Indonesia encounters challenges related to hardware costs, expertise, and compatibility. The high cost of GPUs (Graphics Processing Units) can be a barrier for businesses, particularly smaller enterprises, looking to implement GPU-accelerated databases. Finding and retaining experts who can effectively manage and optimize GPU database systems is another challenge. Ensuring compatibility with existing database technologies and data formats can also be complex, as the transition to GPU databases may require significant adjustments to existing infrastructures.
The GPU database market experienced increased interest during the pandemic as data-intensive applications in various sectors, such as healthcare and research, required accelerated data processing. The demand for high-performance computing and data analytics contributed to the growth of this market.
Leading players in the Indonesia GPU Database market include NVIDIA, Kinetica, Brytlyt, SQream Technologies, and OmniSci (formerly MapD).
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Indonesia GPU Database Market Overview |
3.1 Indonesia Country Macro Economic Indicators |
3.2 Indonesia GPU Database Market Revenues & Volume, 2021 & 2031F |
3.3 Indonesia GPU Database Market - Industry Life Cycle |
3.4 Indonesia GPU Database Market - Porter's Five Forces |
3.5 Indonesia GPU Database Market Revenues & Volume Share, By Application , 2021 & 2031F |
3.6 Indonesia GPU Database Market Revenues & Volume Share, By Components, 2021 & 2031F |
3.7 Indonesia GPU Database Market Revenues & Volume Share, By Deployment Mode, 2021 & 2031F |
3.8 Indonesia GPU Database Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
4 Indonesia GPU Database Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 Indonesia GPU Database Market Trends |
6 Indonesia GPU Database Market, By Types |
6.1 Indonesia GPU Database Market, By Application |
6.1.1 Overview and Analysis |
6.1.2 Indonesia GPU Database Market Revenues & Volume, By Application , 2021-2031F |
6.1.3 Indonesia GPU Database Market Revenues & Volume, By GRC, 2021-2031F |
6.1.4 Indonesia GPU Database Market Revenues & Volume, By Threat Intelligence, 2021-2031F |
6.1.5 Indonesia GPU Database Market Revenues & Volume, By CEM, 2021-2031F |
6.1.6 Indonesia GPU Database Market Revenues & Volume, By Fraud Detection and Prevention, 2021-2031F |
6.1.7 Indonesia GPU Database Market Revenues & Volume, By Predictive Maintenance, 2021-2031F |
6.1.8 Indonesia GPU Database Market Revenues & Volume, By SCM, 2021-2031F |
6.2 Indonesia GPU Database Market, By Components |
6.2.1 Overview and Analysis |
6.2.2 Indonesia GPU Database Market Revenues & Volume, By Tools, 2021-2031F |
6.2.3 Indonesia GPU Database Market Revenues & Volume, By Services, 2021-2031F |
6.3 Indonesia GPU Database Market, By Deployment Mode |
6.3.1 Overview and Analysis |
6.3.2 Indonesia GPU Database Market Revenues & Volume, By On-premises, 2021-2031F |
6.3.3 Indonesia GPU Database Market Revenues & Volume, By Cloud, 2021-2031F |
6.4 Indonesia GPU Database Market, By Vertical |
6.4.1 Overview and Analysis |
6.4.2 Indonesia GPU Database Market Revenues & Volume, By BFSI, 2021-2031F |
6.4.3 Indonesia GPU Database Market Revenues & Volume, By Retail and eCommerce, 2021-2031F |
6.4.4 Indonesia GPU Database Market Revenues & Volume, By Healthcare and Pharmaceuticals, 2021-2031F |
6.4.5 Indonesia GPU Database Market Revenues & Volume, By Telecommunications and IT, 2021-2031F |
6.4.6 Indonesia GPU Database Market Revenues & Volume, By Transportation and Logistics, 2021-2031F |
6.4.7 Indonesia GPU Database Market Revenues & Volume, By Government and Defense, 2021-2031F |
7 Indonesia GPU Database Market Import-Export Trade Statistics |
7.1 Indonesia GPU Database Market Export to Major Countries |
7.2 Indonesia GPU Database Market Imports from Major Countries |
8 Indonesia GPU Database Market Key Performance Indicators |
9 Indonesia GPU Database Market - Opportunity Assessment |
9.1 Indonesia GPU Database Market Opportunity Assessment, By Application , 2021 & 2031F |
9.2 Indonesia GPU Database Market Opportunity Assessment, By Components, 2021 & 2031F |
9.3 Indonesia GPU Database Market Opportunity Assessment, By Deployment Mode, 2021 & 2031F |
9.4 Indonesia GPU Database Market Opportunity Assessment, By Vertical, 2021 & 2031F |
10 Indonesia GPU Database Market - Competitive Landscape |
10.1 Indonesia GPU Database Market Revenue Share, By Companies, 2024 |
10.2 Indonesia GPU Database Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |