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1356831

人工智慧基礎設施市場報告：至2030年的趨勢、預測與競爭分析

Artificial Intelligence Infrastructure Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

人工智慧基礎設施趨勢與預測

預計到2030年，全球人工智慧基礎設施市場將達到 1,239 億美元，2024年至2030年年複合成長率為 23.8%。該市場的主要促進因素是資料流量的增加，雲端基礎的機器學習平台利用率的提高以及對連網智慧型裝置的日益偏好。全球人工智慧基礎設施市場前景廣闊，為企業、政府機構、雲端服務供應商市場帶來商機。

人工智慧基礎設施市場洞察

Lucintel 預測，硬體在預測期內將出現強勁成長，因為它將大量用於生物識別、機器人流程自動化和機器學習等各種應用。

由於組織對提供先進且經濟實惠的人工智慧技術外包的供應商的需求不斷增加，雲端服務供應商可能仍是最大的細分市場。

由於快速的數位化、強大的人工智慧基礎設施的可用性以及該地區 5G 網路和資料中心的持續擴張，預計亞太地區將在預測期內呈現最高的成長。

本報告回答了 11 個關鍵問題：

  • Q.1.細分市場中最有前途和高成長的機會為何？
  • Q.2.哪個細分市場將以更快的速度成長？理由為何？
  • Q.3.哪些地區未來會出現更快的成長？理由為何？
  • Q.4.影響市場動態的主要因素有哪些？市場的主要挑戰和業務風險是什麼？
  • Q.5.這個市場的商業風險和競爭威脅為何？
  • Q.6.這個市場有哪些新趨勢？理由為何？
  • Q.7.市場客戶需求有何改變？
  • Q.8.該市場有哪些新發展以及哪些公司處於領先地位？
  • Q.9.這個市場的主要企業有哪些？主要企業採取哪些策略配合措施來發展業務？
  • Q.10.該市場上的競爭產品有哪些，由於材料或產品替代導致市場佔有率下降的威脅有多大？
  • Q.11.過去年度發生了哪些併購事件，對產業產生了哪些影響？

目錄

第1章 執行摘要

第2章 全球人工智慧基礎設施市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球人工智慧基礎設施市場趨勢（2018-2023）與預測（2024-2030）
  • 全球人工智慧基礎設施市場（依產品分類）
    • 硬體
    • 軟體
  • 依技術分類的全球人工智慧基礎設施市場
    • 機器學習
    • 深度學習
  • 依部署類型分類的全球人工智慧基礎設施市場
    • 本地
    • 雲端
    • 混合
  • 全球人工智慧基礎設施市場（依最終用途產業）
    • 公司
    • 政府機關
    • 雲端服務供應商

第4章 2018-2030年市場趨勢及預測分析（依地區）

  • 全球人工智慧基礎設施市場區域分佈
  • 北美人工智慧基礎設施市場
  • 歐洲人工智慧基礎設施市場
  • 亞太地區人工智慧基礎建設市場
  • 其他區域人工智慧基礎設施市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球人工智慧基礎設施市場的成長機會
    • 全球人工智慧基礎設施市場成長機會（依技術）
    • 全球人工智慧基礎設施市場成長機會（依部署類型）
    • 全球人工智慧基礎設施市場成長機會（依最終用途產業）
    • 全球人工智慧基礎設施市場成長機會（依地區）
  • 全球人工智慧基礎設施市場的新趨勢
  • 戰略分析
    • 新產品開發
    • 全球人工智慧基礎設施市場容量擴張
    • 全球人工智慧基礎設施市場的合併、收購與合資
    • 認證和許可

第7章 主要企業概況

  • NVIDIA
  • Intel
  • Oracle
  • Samsung Electronics
  • Micron Technology
  • Advanced Micro Devices
  • IBM
  • Google
  • Microsoft
  • Amazon Web Services
簡介目錄

Artificial Intelligence Infrastructure Trends and Forecast

The future of the global artificial intelligence infrastructure market looks promising with opportunities in the enterprise, government organization, and cloud service provider markets. The global artificial intelligence infrastructure market is expected to reach an estimated $123.9 billion by 2030 with a CAGR of 23.8% from 2024 to 2030. The major drivers for this market are increasing amount of data traffic, rising utilization of cloud-based machine learning platforms, and growing preference for connected smart devices.

A more than 150-page report is developed to help in your business decisions.

Artificial Intelligence Infrastructure by Segment

The study includes a forecast for the global artificial intelligence infrastructure by offering, technology, deployment type, end use industry, and region.

Artificial Intelligence Infrastructure Market by Offering [Shipment Analysis by Value from 2018 to 2030]:

  • Hardware
  • Software

Artificial Intelligence Infrastructure Market by Technology [Shipment Analysis by Value from 2018 to 2030]:

  • Machine Learning
  • Deep Learning

Artificial Intelligence Infrastructure Market by Deployment Type [Shipment Analysis by Value from 2018 to 2030]:

  • On-Premises
  • Cloud
  • Hybrid

Artificial Intelligence Infrastructure Market by End Use Industry [Shipment Analysis by Value from 2018 to 2030]:

  • Enterprises
  • Government Organizations
  • Cloud Service Providers

Artificial Intelligence Infrastructure Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Artificial Intelligence Infrastructure Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies artificial intelligence infrastructure companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the artificial intelligence infrastructure companies profiled in this report include-

  • NVIDIA
  • Intel
  • Oracle
  • Samsung Electronics
  • Micron Technology
  • Advanced Micro Devices
  • IBM
  • Google
  • Microsoft
  • Amazon Web Services

Artificial Intelligence Infrastructure Market Insights

Lucintel forecasts that hardware is expected to witness higher growth over the forecast period due to its significant use in various applications such as biometrics, robotic process automation, and machine learning.

Cloud service provider will remain the largest segment due to growing demand among organizations for these providers to offer advanced and affordable AI technology outsourcing.

APAC is expected to witness highest growth over the forecast period due to rapid digitalization, availability of robust AI infrastructure, and continuous expansion of 5G network and data centers in the region.

Features of the Global Artificial Intelligence Infrastructure Market

Market Size Estimates: Artificial intelligence infrastructure market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Artificial intelligence infrastructure market by various segments, such as by offering, technology, deployment type, end use industry and region in terms of($B).

Regional Analysis: Artificial intelligence infrastructure market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different offerings, technologies, deployment types, end use industries, and region.s for the artificial intelligence infrastructure market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the artificial intelligence infrastructure market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q.1. What is the artificial intelligence infrastructure market size?

Answer: The global artificial intelligence infrastructure market is expected to reach an estimated $123.9 billion by 2030.

Q.2. What is the growth forecast for artificial intelligence infrastructure market?

Answer: The global artificial intelligence infrastructure market is expected to grow with a CAGR of 23.8% from 2024 to 2030.

Q.3. What are the major drivers influencing the growth of the artificial intelligence infrastructure market?

Answer: The major drivers for this market are increasing amount of data traffic, rising utilization of cloud-based machine learning platforms, and growing preference for connected smart devices.

Q.4. What are the major segments for artificial intelligence infrastructure market?

Answer: The future of the artificial intelligence infrastructure market looks promising with opportunities in the enterprise, government organization, and cloud service provider markets.

Q.5. Who are the key artificial intelligence infrastructure market companies?

Answer: Some of the key artificial intelligence infrastructure companies are as follows:

  • NVIDIA
  • Intel
  • Oracle
  • Samsung Electronics
  • Micron Technology
  • Advanced Micro Devices
  • IBM
  • Google
  • Microsoft
  • Amazon Web Services

Q.6. Which artificial intelligence infrastructure market segment will be the largest in future?

Answer: Lucintel forecasts that hardware is expected to witness higher growth over the forecast period due to its significant use in various applications such as biometrics, robotic process automation, and machine learning.

Q.7. In artificial intelligence infrastructure market, which region is expected to be the largest in next 5 years?

Answer: APAC is expected to witness highest growth over the forecast period due to rapid digitalization, availability of robust AI infrastructure, and continuous expansion of 5G network and data centers in the region.

Q.8. Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the artificial intelligence infrastructure market by offering (hardware and software), technology (machine learning and deep learning), deployment type (on-premises, cloud, and hybrid), end use industry (enterprises, government organizations, and cloud service providers), and region. (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Artificial Intelligence Infrastructure Market: Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Artificial Intelligence Infrastructure Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Artificial Intelligence Infrastructure Market by Offering
    • 3.3.1: Hardware
    • 3.3.2: Software
  • 3.4: Global Artificial Intelligence Infrastructure Market by Technology
    • 3.4.1: Machine Learning
    • 3.4.2: Deep Learning
  • 3.5: Global Artificial Intelligence Infrastructure Market by Deployment Type
    • 3.5.1: On-Premises
    • 3.5.2: Cloud
    • 3.5.3: Hybrid
  • 3.6: Global Artificial Intelligence Infrastructure Market by End Use Industry
    • 3.6.1: Enterprises
    • 3.6.2: Government Organizations
    • 3.6.3: Cloud Service Providers

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global Artificial Intelligence Infrastructure Market by Region
  • 4.2: North American Artificial Intelligence Infrastructure Market
    • 4.2.2: North American Artificial Intelligence Infrastructure Market by End Use Industry: Enterprises, Government Organizations, and Cloud Service Providers
  • 4.3: European Artificial Intelligence Infrastructure Market
    • 4.3.1: European Artificial Intelligence Infrastructure Market by Offering: Hardware and Software
    • 4.3.2: European Artificial Intelligence Infrastructure Market by End Use Industry: Enterprises, Government Organizations, and Cloud Service Providers
  • 4.4: APAC Artificial Intelligence Infrastructure Market
    • 4.4.1: APAC Artificial Intelligence Infrastructure Market by Offering: Hardware and Software
    • 4.4.2: APAC Artificial Intelligence Infrastructure Market by End Use Industry: Enterprises, Government Organizations, and Cloud Service Providers
  • 4.5: ROW Artificial Intelligence Infrastructure Market
    • 4.5.1: ROW Artificial Intelligence Infrastructure Market by Offering: Hardware and Software
    • 4.5.2: ROW Artificial Intelligence Infrastructure Market by End Use Industry: Enterprises, Government Organizations, and Cloud Service Providers

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Artificial Intelligence Infrastructure Market by Offering
    • 6.1.2: Growth Opportunities for the Global Artificial Intelligence Infrastructure Market by Technology
    • 6.1.3: Growth Opportunities for the Global Artificial Intelligence Infrastructure Market by Deployment Type
    • 6.1.4: Growth Opportunities for the Global Artificial Intelligence Infrastructure Market by End Use Industry
    • 6.1.5: Growth Opportunities for the Global Artificial Intelligence Infrastructure Market by Region
  • 6.2: Emerging Trends in the Global Artificial Intelligence Infrastructure Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Artificial Intelligence Infrastructure Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Artificial Intelligence Infrastructure Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: NVIDIA
  • 7.2: Intel
  • 7.3: Oracle
  • 7.4: Samsung Electronics
  • 7.5: Micron Technology
  • 7.6: Advanced Micro Devices
  • 7.7: IBM
  • 7.8: Google
  • 7.9: Microsoft
  • 7.10: Amazon Web Services