【レポートの概要（一部）】
1 Introduction (Page No. – 18)
1.1 Study Objectives
1.2 Definition
1.3 Study Scope
1.3.1 Markets Covered
1.3.2 Geographic Scope
1.3.3 Years Considered
1.4 Currency
1.5 Limitations
1.6 Stakeholders
2 Research Methodology (Page No. – 22)
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Secondary Sources
2.1.2 Primary Data
2.1.2.1 Primaries Sources
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Market Breakdown and Data Triangulation
2.4 Research Assumptions
3 Executive Summary (Page No. – 31)
4 Premium Insights (Page No. – 35)
4.1 Attractive Opportunities in AI Infrastructure Market
4.2 AI Infrastructure Hardware Market, By Type
4.3 AI Infrastructure Market, By Deployment
4.4 AI Infrastructure Market, By Function
4.5 AI Infrastructure Market for Enterprise, By Region
4.6 AI Infrastructure Market, By Technology
4.7 AI Infrastructure Market, By Geography
5 Market Overview (Page No. – 39)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increasing Adoption of Cloud Machine Learning Platform
5.2.1.2 Escalating Demand for AI Hardware in High-Performance Computing Data Centers
5.2.1.3 Rising Focus on Parallel Computing in AI Data Centers
5.2.1.4 Growing Volume of Data Generated in Industries Such as Automotive and Healthcare
5.2.1.5 Improving Computing Power and Declining Hardware Cost
5.2.1.6 Growing Number of Cross-Industry Partnerships and Collaborations
5.2.1.7 Expanding AI Applications in Industries Such as Healthcare, Automotive, Finance, and Tourism
5.2.1.8 Evolving Applications of Industrial IoT and Automation Technologies
5.2.2 Restraints
5.2.2.1 Dearth of AI Hardware Experts
5.2.3 Opportunities
5.2.3.1 Surging Demand for FPGA-Based Accelerators
5.2.3.2 Rising Need for Coprocessors Due to Slowdown of Moore’s Law
5.2.3.3 Increasing Focus on Developing Human-Aware AI Systems
5.2.4 Challenges
5.2.4.1 Unreliability of AI Algorithms
5.2.4.2 Creation of Application-Specific Models and Mechanisms of AI in Cloud
5.2.4.3 Concerns Regarding Data Privacy in AI Platforms
5.2.4.4 No Assurance or Guarantee on Returns on Investment
5.2.4.5 Availability of Limited Structured Data to Train and Develop Efficient AI Systems
6 AI Infrastructure Market, By Offering (Page No. – 51)
6.1 Introduction
6.2 Hardware
6.2.1 Processor
6.2.1.1 CPU
6.2.1.2 GPU
6.2.1.3 FPGA
6.2.1.4 ASIC
6.2.2 Memory
6.2.2.1 High-Bandwidth Memory, Independent of Its Computing Architecture, is Being Developed and Deployed for AI Applications
6.2.3 Storage
6.2.3.1 Artificial Intelligence, Along With Analytics Tools, is Used in Sorting Necessary and Unessential Data
6.2.4 Networking
6.2.4.1 NVIDIA (US), Intel (US)And CISCO (US)Are Key Providers of Network Interconnect Adapters for AI Applications
6.3 Server Software
6.3.1 Creating Intelligent Software Involves Simulating Several Capabilities Such as Problem-Solving, Perception, and Knowledge Representation
7 AI Infrastructure Market, By Technology (Page No. – 61)
7.1 Introduction
7.2 Machine Learning
7.2.1 Machine Learning Enables Systems to Automatically Improve Their Performance With Experience
7.3 Deep Learning
7.3.1 Deep Learning Uses Artificial Neural Networks to Learn Multiple Levels of Data
8 AI Infrastructure Market, By Function (Page No. – 65)
8.1 Introduction
8.2 Training
8.2.1 Building Good Model is Directly Related to Quality and Quantity of Data Used in Process of Learning Model
8.3 Inference
8.3.1 On-Premises Inference Platform is Adopted to Gain Faster Results Than That of Cloud
9 AI Infrastructure Market, By Deployment Type (Page No. – 70)
9.1 Introduction
9.2 On-Premises
9.2.1 Data-Sensitive Enterprises Prefer On-Premises AI Solutions Based on Advanced Nlp Techniques and Ml Models
9.3 Cloud
9.3.1 Cloud-Based AI Solutions Provide Additional Flexibility and More Accurate Real-Time Data Essential for Effective Business Operations
9.4 Hybrid
9.4.1 Hybrid Infrastructure Would Help in Fast Work Processes, Saving Time, and Money
10 AI Infrastructure Market, By End-User (Page No. – 75)
10.1 Introduction
10.2 Enterprises
10.2.1 Utilization of Advanced Big Data Solutions for Operational Data Explosion is Impacting Future Requirements for AI-Based Servers
10.3 Government Organizations
10.3.1 Governments Worldwide are Working Toward Implementing AI in Security Solutions to Protect Critical Government and Defense-Related Infrastructure
10.4 Cloud Service Providers (CSP)
10.4.1 Cloud Service Providers Need to Deliver Industry-Specific Functionality or Help Users Meet Certain Regulatory Requirements
11 Geographic Analysis (Page No. – 88)
11.1 Introduction
11.2 North America
11.2.1 US
11.2.1.1 Improved Economy and High Disposable Income in US Lead to Increased Demand for Modern Technologies, Which, in Turn, Boosts AI
Infrastructure Market Growth
11.2.2 Canada
11.2.2.1 High Adoption of AI Technologies, Especially Ml and Nlp, is Fueling Canadian Market Growth
11.2.3 Mexico
11.2.3.1 Mexican Market Growth is Driven By Growing Penetration of AI in Security and BFSI Industries in Country
11.3 Europe
11.3.1 UK
11.3.1.1 Adoption of Supercomputers Would Drive Market in UK
11.3.2 Germany
11.3.2.1 Adoption of Cloud Computing and Industry 4.0 has Created Increased Demand for Data Centers in Germany
11.3.3 France
11.3.3.1 Investment of Venture Capitalists in French Start-Ups for Development of AI Ecosystem Surge AI Infrastructure Market Growth in Country
11.3.4 Rest of Europe
11.3.4.1 Spain, Italy, Sweden, Norway, Netherlands, Belgium, Russia, and Poland Drive AI Infrastructure Market Growth in Rest of Europe
11.4 APAC
11.4.1 China
11.4.1.1 Growing Demand for High-Density, Redundant Facilities is Triggering Deployment of Data Centers, Thereby Escalating Demand for AI Infrastructure
11.4.2 Japan
11.4.2.1 Small and Medium-Sized Companies in Japan are Utilizing Infrastructure-As-A-Service (Through Cloud)
11.4.3 India
11.4.3.1 Growing Adoption of Cloud Based Services to Have Positive Impact on AI Infrastructure Market
11.4.4 Rest of APAC
11.4.4.1 Australia, Thailand, South Korea, and Indonesia are Major Countries Responsible for Growth in Rest of APAC
11.5 RoW
11.5.1 South America
11.5.1.1 Brazil has Largest Computing Services Market in South America, Followed By Chile and Argentina
11.5.2 Middle East and Africa
11.5.2.1 Smart Mobile Data Traffic Would Lead to Increased Workload on Data Centers, Resulting in AI Server Growth
12 Competitive Landscape (Page No. – 114)
12.1 Overview
12.2 Ranking Analysis of Key Players in AI Infrastructure Market
12.3 Competitive Situations and Trends
12.3.1 Product Launches
12.3.2 Agreements, Partnerships, Collaborations, & Contracts
12.3.3 Acquisitions
12.3.4 AI Infrastructure Market (Global) Competitive Leadership Mapping, 2018
12.3.4.1 Visionary Leaders
12.3.4.2 Dynamic Differentiators
12.3.4.3 Innovators
12.3.4.4 Emerging Companies
13 Company Profiles (Page No. – 120)
13.1.1 Intel Corporation
13.1.1.1 Business Overview
13.1.1.2 Products and Solutions Offered
13.1.1.3 Recent Developments
13.1.1.4 SWOT Analysis
13.1.1.5 MnM View
13.1.2 NVIDIA Corporation
13.1.2.1 Business Overview
13.1.2.2 Products and Solutions Offered
13.1.2.3 Recent Developments
13.1.2.4 SWOT Analysis
13.1.2.5 MnM View
13.1.3 Samsung Electronics
13.1.3.1 Business Overview
13.1.3.2 Products Offered
13.1.3.3 Recent Developments
13.1.3.4 SWOT Analysis
13.1.3.5 MnM View
13.1.4 Micron Technology
13.1.4.1 Business Overview
13.1.4.2 Products and Solutions Offered
13.1.4.3 Recent Developments
13.1.4.4 SWOT Analysis
13.1.4.5 MnM View
13.1.5 Xilinx
13.1.5.1 Business Overview
13.1.5.2 Products and Solutions Offered
13.1.5.3 Recent Developments
13.1.5.4 SWOT Analysis
13.1.5.5 MnM View
13.1.6 Advanced Micro Devices (AMD)
13.1.6.1 Business Overview
13.1.6.2 Products Offered
13.1.6.3 Recent Developments
13.1.6.4 SWOT Analysis
13.1.6.5 MnM View
13.1.7 IBM
13.1.7.1 Business Overview
13.1.7.2 Products, Solutions, and Services Offered
13.1.7.3 Recent Developments
13.1.7.4 SWOT Analysis
13.1.7.5 MnM View
13.1.8 Google
13.1.8.1 Business Overview
13.1.8.2 Products and Solutions
13.1.8.3 Recent Developments
13.1.8.4 SWOT Analysis
13.1.8.5 MnM View
13.1.9 Microsoft
13.1.9.1 Business Overview
13.1.9.2 Products and Solutions Offered
13.1.9.3 Recent Developments
13.1.9.4 SWOT Analysis
13.1.9.5 MnM View
13.1.10 Amazon Web Services
13.1.10.1 Business Overview
13.1.10.2 Products and Services Offered
13.1.10.3 Recent Developments
13.1.10.4 SWOT Analysis
13.1.10.5 MnM View
13.1.11 CISCO
13.1.11.1 Business Overview
13.1.11.2 Products and Solutions
13.1.11.3 Recent Developments
13.1.11.4 MnM View
13.1.12 ARM
13.1.12.1 Business Overview
13.1.12.2 Products Offered
13.1.12.3 Recent Developments
13.1.12.4 SWOT Analysis
13.1.12.5 MnM View
13.1.13 Dell
13.1.13.1 Business Overview
13.1.13.2 Solutions Offered
13.1.13.3 Recent Developments
13.1.13.4 MnM View
13.1.14 HPE
13.1.14.1 Business Overview
13.1.14.2 Products and Solutions Offered
13.1.14.3 Recent Developments
13.1.14.4 MnM View
13.1.15 Habana Labs
13.1.15.1 Business Overview
13.1.15.2 Products Offered
13.1.15.3 Recent Developments
13.1.15.4 MnM View
13.1.16 Synopsys Inc
13.1.16.1 Business Overview
13.1.16.2 Products Offered
13.1.16.3 Recent Developments
13.1.16.4 MnM View
13.2 Other Key Players
13.2.1 S K Hynix Inc.
13.2.2 Wave Computing
13.2.3 Toshiba
13.2.4 Imagination Technologies
13.2.5 Cambricon Technologies
13.2.6 Graphcore
13.2.7 Gyrfalcon Technology Inc.
13.2.8 Cadence Design Systems
13.2.9 Tenstorrent
14 Appendix (Page No. – 182)
14.1 Insights of Industry Experts
14.2 Discussion Guide
14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
14.4 Available Customizations
14.5 Related Reports
14.6 Author Details
【レポート販売概要】
■ タイトル：AIインフラの世界市場予測（～2025年）■ 英文：AI Infrastructure Market by Offering (Hardware, Software), Technology (Machine Learning, Deep Learning), Function (Training, Inference), Deployment Type (On-Premises, Cloud, Hybrid), End User, and Region - Global Forecast to 2025
■ 発行日：2019年7月25日
■ 調査会社：MarketsandMarkets
■ 商品コード：SE-7201
■ 調査対象地域：グローバル
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