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GPU Accelerated Analytics Market - Forecast(2024 - 2030)
GPU Accelerated Analytics Market Overview
GPU Accelerated Analytics Market size is estimated to reach $303 million by 2027 at a CAGR of 15.6% during the forecast period 2022-2027. GPU Accelerated Analytics which works on single instruction multiple data has become the standard platform for many machine learning algorithms, particularly in the field of deep neural networks (DNNs), while making increasing inroads into more traditional domains such as analytics databases and visual analytics. In addition, the growing preference of enterprises toward AI and machine learning-enabled workloads is expected to provide opportunities for the GPU Accelerated Analytics growth. Similarly increasing data generation across BFSI, retail, and media and entertainment industries, rising popularity of GPU or visual processing unit in banks, insurance firms, and many other financial institutions is analysed to drive the market growth. Further easy availability of open source solutions and their growing applications areas, increasing adoption of artificial intelligence and machine learning are some of the major as well as vital factors which will likely augment the growth of the GPU Accelerated Analytics market share in the forecast period. On the other hand, rising demand for high-performance computing in various data-intensive industries along with the increasing need for analysis of large volumes of data will further contribute by generating massive opportunities that will lead to the growth of the GPU Accelerated Analytics industry However, the incapability of integrated GPU to facilitate intensive graphic designing software, lack of understanding of the advantages of GPU Accelerated Analytics will restrain the market growth in the forecast period 2022-2027.
Report Coverage
The report: “GPU Accelerated Analytics Market Report– Forecast (2022-2027)”, by IndustryARC covers an in-depth analysis of the following segments of the GPU Accelerated Analytics Market
By Deployment: On-premises, Cloud.
By Application: Governance, Risk, and Compliance, Customer Experience Management, Threat Intelligence, Fraud Detection and Prevention, Predictive Maintenance, Supply Chain Management, and Others.
By End User: BFSI, Retail and eCommerce, Healthcare and Pharmaceuticals, Telecommunications and IT, Transportation and Logistics, Government and Defense, and Others.
By Geography: North America (U.S, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, Russia and Others), APAC (Japan, China, India, South Korea, Australia and Others), South America (Brazil, Argentina and others) and RoW (Middle east and Africa).
Key Takeaways
- In GPU Accelerated Analytics Market, Cloud deployment is growing at a highest CAGR of 16.2% in the forecast period as it offers operational flexibility and real-time deployment to the companies compared to on-premises solutions.
- The BFSI sector in GPU Accelerated Analytics market is growing at the highest CAGR of 16.5% during the forecast period. This vertical generates huge amount of data and has adopted supercomputers for advanced data analytics since the inception of high-performance computing technology.
- North America dominated the GPU Accelerated Analytics market size in 2021 with a share of 32.5% owing to the early adoption of GPU- accelerated solutions as well as initiatives taken by industry players in the form of partnerships with technology players to offer rapid analytics and data processing solutions.
- GPU Accelerated Analytics companies are strengthening their position through mergers & acquisitions and continuously investing in research and development (R&D) activities to come up with solutions to cater to the changing requirements of customers.
GPU Accelerated Analytics Market Value Share, by Geography, 2021 (%)
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GPU Accelerated Analytics Market Segment Analysis – By Deployment
In GPU Accelerated Analytics Market, Cloud deployment is growing at a highest CAGR of 16.2% in the forecast period as it offers operational flexibility and real-time deployment to the companies compared to on-premises solutions. It also offers numerous benefits, including reduced operational costs, simple deployment process, and higher scalability in terms of connected resources. The cloud-based GPU Accelerated Analytics provides robust transformation processes to meet business objectives. Additionally, the cost-effective cloud-based solutions ease installation when compared to the on-premises solutions. Further several companies have been providing GPU Accelerated Analytics in cloud deployment. For instance NVIDIA provides cloud-based GPU Accelerated Analytics for assessing application performance and accelerating operations shift. Further increasing number of enterprises are either currently using or are planning to use cloud deployment models to expand their IT infrastructure. Furthermore, the highest level of data security and reliability offered by the cloud deployment are increasing the share of cloud deployment in the Network Traffic Analyzer market in the forecast period 2022-2027. Hence these kind of benefits are analysed to drive the GPU Accelerated Analytics industry outlook in the forecast period 2022-2027.
GPU Accelerated Analytics Market Segment Analysis – By End-User Industry
The BFSI sector in GPU Accelerated Analytics market is growing at the highest CAGR of 16.5% during the forecast period. This vertical generates huge amount of data and has adopted supercomputers for advanced data analytics since the inception of high-performance computing technology. GPU Accelerated Analytics find significance in interactive portfolio risk management, trade execution, customer analysis, and credit scoring applications. The advent of GPU Accelerated Analytics has simplified operations facilitating rapid data processing and real-time analytics. In the recent past, real-time risk management analytics is the major challenge for financial organizations. With the emergence of GPU Accelerated Analytics, organizations able to perform risk calculations and simulations in real time. Similarly, parallel computing with the GPU applications enable organizations to monitor for anomalies in diverse streams of transactions and log data. Hence these factors are analysed to drive the GPU Accelerated Analytics market share in the forecast period 2022-2027.
GPU Accelerated Analytics Market Segment Analysis – By Geography
North America dominated the GPU Accelerated Analytics market size in 2021 with a share of 32.5% owing to the early adoption of GPU-accelerated solutions as well as initiatives taken by industry players in the form of partnerships with technology players to offer rapid analytics and data processing solutions. The US and Canada are 2 prominent markets in North America, which are witnessing healthy adoption of such GPU- accelerated tools across industry verticals. In 2021, OmniSci collaborated with several technology partners to integrate the latest modern GPU & CPU hardware to bring optimized, accelerated analytics at scale experience to all users. In March 2020, Cloudera Collaborates with NVIDIA to Accelerate Data Analytics and AI in the Cloud. The Cloudera and NVIDIA integration will empower to use data-driven insights to power mission-critical use cases such as fraud detection. This kind of collaborations, coupled with increasing number of technological advancements, is expected to support growth of the global GPU Accelerated Analytics market in North America.
GPU Accelerated Analytics Market Drivers
The growing demand for GPU Accelerated Analytics in Supply Chain Management is analysed to drive the market in the forecast period:
The GPU Accelerated Analytics can provide a significant advantage to enterprises by facilitating their supply chain operations and enabling them to optimize it by providing real-time, location-based insights in the entire supply chain. Many enterprises have digitalized their enterprise and field operations and are rapidly adopting advanced technologies including mobile workforce, sensors-equipped fleets, AI-assisted work stations and automated vehicles, and drones. The digitalization has led to the generation of large volumes of data in different forms and at speed is exceeding the expectations of enterprises with traditional tools and practices in place to handle the data. In addition, enterprises with GPU analytics capabilities can gain a comprehensive view of their supply chain and crucial insights to manage their value chain incorporating suppliers, distributors, logistics, transportation, and retail locations to understand and forecast demand, manage supply, and track inventory in real time. Hence these factors are analyzed to drive the market growth in the forecast period 2022-2027.
Technological Advancements of GPU Accelerated Analytics is driving the growth of the market:
Continuous technological advancements in GPU Accelerated Analytics are expected to drive the growth of the GPU Accelerated Analytics market. In 2021, Brytlyt has launched server less software-as-a-service analytics platform with GPU acceleration, bringing revolutionary server less analytics for unparalleled experience and performance. In 2019, OmniSci launched a SaaS offering of GPU-accelerated analytics called MapD Cloud. It helps its users to access the fastest open source SQL engine and visual analytics platform. This innovative server less SaaS platform transforms the way individuals and businesses leverage their data, providing users with advanced end-to-end database, analytics and visualization capabilities. Moreover growing collaborations and partnerships between companies to utilize the technology is also analyzed to drive the market growth. In 2019, OmniSci, the pioneer in GPU-accelerated analytics, announced a partnership with Core Scientific, to offer OmniSci users with large datasets and persistent workloads a powerful, cost-effective option for accessing the OmniSci platform. Hence these kinds of advancements are analyzed to drive the GPU Accelerated Analytics share in the forecast period 2022-2027.
GPU Accelerated Analytics Market Challenges
Lack of sufficient technical expertise and domain knowledge is hampering the market growth
Lack of sufficient technical expertise and domain knowledge along with lack of adequate data security measure which will likely to act as market restraints factor for the growth of the GPU Accelerated Analytics in the forecast period. Further limited capabilities of available GPU Accelerated Analytics to perform crucial operations in analytics in various industries will become the biggest and foremost challenge for the growth of the market in the forecast period 2022-2027.
GPU Accelerated Analytics Industry Outlook
Product launches, acquisitions, Partnerships, and R&D activities are key strategies adopted by players in the GPU Accelerated Analytics Market. In 2021, the market of GPU Accelerated Analytics industry outlook has been fragmented by several companies. GPU Accelerated Analytics top 10 companies include:
- Kinetica
- OmniSci
- SQream
- Neo4j
- NVIDIA
- Brytlyt
- Blazegraph
- BlazingDB
- Zilliz
- Jedox
Acquisitions/Technology Launches
- In March 2021, OmniSci, the pioneer in accelerated analytics, announced the launch of OmniSci Free, a full-featured version of its analytics platform available for use at no cost. OmniSci Free will allow users to leverage the full power of the OmniSci Analytics Platform, including OmniSciDB, OmniSci Render Engine, OmniSci Immerse, and the OmniSci Data Science Toolkit, to explore and gain insights from their big data at the speed of curiosity.
- In March 2020, Cloudera Collaborates with NVIDIA to Accelerate Data Analytics and AI in the Cloud. The Cloudera and NVIDIA integration will empower to use data-driven insights to power mission-critical use cases such as fraud detection.
- In March 2019, In addition, NVIDIA launched CUDA-X AI SDK for GPU-accelerated analytics and data science in 2019, intending to provide an end-to-end platform for the acceleration of data science. In addition, it addresses one of the biggest challenges data scientists face today — accessing process-intensive operations.
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1. GPU Accelerated Analytics Market Overview
1.1 Definitions and Scope
2. GPU Accelerated Analytics Market - Executive Summary
2.1 Market Revenue, Market Size and Key Trends by Company
2.2 Key trends By Product Type
2.3 Key trends segmented by Geography
3. GPU Accelerated Analytics Market – Market Landscape
3.1 Comparative Analysis
3.1.1 Product/Company Benchmarking-Top 5 Companies
3.1.2 Top 5 Financial Analysis
3.1.3 Market Value Split by Top 5 Companies
3.1.4 Patent Analysis
3.1.5 Pricing Analysis (Comparison of General Price Offerings in the Market)
4. GPU Accelerated Analytics Market – Industry Market Entry Scenario Premium (Premium)
4.1 Regulatory Scenario
5. GPU Accelerated Analytics Market – Startup Company Scenario (Premium)
5.1 Venture Capital and Funding Scenario
5.2 Startup Company Analysis
6. GPU Accelerated Analytics Market Analysis (Enterprise License)
6.1 Ease of Doing Business Index
6.2 Case Studies
6.3 Customer Analysis
6.4 Market Share By Product Type
6.5 Market Share By Sales Channel
6.6 Market Share By Vehicle Type
6.7 Market Share By Country
6.8 Competition Matrix
7. GPU Accelerated Analytics Market - Market Forces
7.1 Market Drivers
7.2 Market Constraints
7.3 Porters five force model
7.3.1 Bargaining power of suppliers
7.3.2 Bargaining powers of customers
7.3.3 Threat of new entrants
7.3.4 Rivalry among existing players
7.3.5 Threat of substitutes
8. GPU Accelerated Analytics Market – By Strategic Analysis (Market Size -$Million/Billion)
8.1 Value Chain Analysis
8.2 Opportunities Analysis
8.3 Product Life Cycle/Market Life Cycle Analysis
8.4 Suppliers and Distributors
9. GPU Accelerated Analytics Market – By Deployment (Market Size -$Million/Billion)
9.1 On-premises
9.2 Cloud
10. GPU Accelerated Analytics Market – By Application (Market Size -$Million/Billion)
10.1 Battery Electric Vehicles (BEVs)
10.2 Governance Risk and Compliance
10.3 Customer Experience Management
10.4 Threat Intelligence
10.5 Fraud Detection and Prevention
10.6 Predictive Maintenance
10.7 Supply Chain Management
10.8 Others
11. GPU Accelerated Analytics Market – By End User (Market Size -$Million/Billion)
11.1 BFSI
11.2 Retail
11.3 E-Commerce
11.4 Healthcare and Pharmaceuticals
11.5 Telecommunications and IT
11.6 Transportation and Logistics
11.7 Government and Defense
11.8 Others
12. GPU Accelerated Analytics Market - By Geography (Market Size -$Million/Billion)
12.1 North America
12.1.1 U.S
12.1.2 Canada
12.1.3 Mexico
12.2 South America
12.2.1 Brazil
12.2.2 Argentina
12.2.3 Chile
12.2.4 Colombia
12.2.5 Others
12.3 Europe
12.3.1 Germany
12.3.2 France
12.3.3 UK
12.3.4 Italy
12.3.5 Spain
12.3.6 Russia
12.3.7 Netherlands
12.3.8 Others
12.4 APAC
12.4.1 China
12.4.2 Japan
12.4.3 South Korea
12.4.4 India
12.4.5 Australia
12.4.6 Indonesia
12.4.7 Malaysia
12.4.8 Others
12.5 RoW
12.5.1 Middle East
12.5.2 Africa
13. GPU Accelerated Analytics Market - Market Entropy
13.1 New product launches
13.2 M&A's, collaborations, JVs and partnerships
14. GPU Accelerated Analytics Market – Industry Competition Landscape (Premium)
14.1 Market Share Global
14.2 Market Share – Top Regions
15. GPU Accelerated Analytics Market – Key Company List by Country Premium (Premium)
16. GPU Accelerated Analytics Market - Company Analysis
16.1 Kinetica
16.2 OmniSci
16.3 SQream
16.4 Neo4j
16.5 NVIDIA
16.6 Company 6
16.7 Company 7
16.8 Company 8
16.9 Company 9
16.10 Company 10
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