AI Infrastructure Market
SKU ID :
No. of pages:
The AI infrastructure market is projected to grow at a CAGR 20.98% rate during the forecast period. Major factors driving the market for AI infrastructure include increasing adoption of cloud machine learning platform, escalating demand for AI hardware in high-performance computing data centers, rising focus on parallel computing in AI data centers, growing volume of data generated in industries such as automotive and healthcare, improving computing power and declining hardware cost, growing number of cross-industry partnerships and collaborations, and expanding AI applications in industries such as healthcare, automotive, finance, and tourism.
Deep Learning Technology is estimated to grow at a higher CAGR during forecast period. AI infrastructure for deep learning technology enables a machine to build a hierarchical representation. For instance, the first layer of the captured image could scan for simple edges, followed by a layer that collects edge-forming shapes (such as rectangle or circle). The final layer could identify machine parts. After scanning several layers to identify the required data, the neural network can collate the features into an algorithm that can recognize the overall image.
Cloud Service Providers in APAC is estimated to grow at the highest CAGR during forecast period. Cloud service providers (CSPs) offer network services, infrastructure, or business applications in the cloud to various companies from industries such as automotive, healthcare, retail, and manufacturing. The cloud mainly addresses 3 areas of operations: software-as-a-service (SaaS), infrastructure-as-a-service (IaaS), and platform-as-a-service (PaaS).
North America is projected to hold the largest market share during forecast period. At present, North America accounts for the largest share of the global AI infrastructure market, and a similar trend is likely to continue in the near future. The US and Canada are expected to adopt AI-based servers at a high rate. These countries are technologically developed economies in North America because of their strong focus on investing in R&D activities for the development of new technologies.
Key Market Players includes Intel Corporation (US), NVIDIA Corporation (US), IBM (US), Samsung Electronics (South Korea), Google (US), Microsoft (US), Micron Technology (US), Amazon Web Services (US), CISCO (US), Oracle (US), ARM (UK), Xilinx (US), Advanced Micro Devices (AMD) (US), Dell (US), HPE (US), Habana Labs (Israel), and Synopsys Inc. (US).
Key Questions Addressed by the Report
- Where will all these developments take the industry in the mid to long term?
- What will be the upcoming industries for AI infrastructure?
- What are the drivers, challenges, and restraints impacting the market growth?
- Which hardware components and software solutions are expected to be used widely to build AI infrastructure in the mid to long term?
- Which region is expected to witness significant demand for AI infrastructure?
2. Research Methodology
Limitation and Assumptions
3. Executive Overview
4. Market Overview
5. AI Infrastructure Market, By Application
6. AI Infrastructure Market, By End-User
Cloud service providers
7. AI Infrastructure Market, By Function
8. AI Infrastructure Market, By Technology
9. AI Infrastructure Market, By Deployment Type
10. AI Infrastructure Market, By Region
Rest of Europe
Rest of APAC
Rest of Middle East
Rest of the World
11. Company Profiles
Amazon Web Services
Buy Chapters or Sections
Avail customized purchase options to meet your exact research needs:
- Buy sections of this report
- Buy country level reports
- Request for historical data
- Request discounts available for Start-Ups & Universities
Why Choose Us
- 24/5 Research support
Get your queries resolved from an industry expert.
- Custom research service
Design an exclusive study to serve your research needs.
- Quality assurance
A testimonial for service in the form of BBB “A” Accreditation.
- Information security
Your personal and confidential information is safe and secure.
Key Topic Covered
Team User, Single User, Enterprise Access