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市场调查报告书
商品编码
1356831

人工智慧基础设施市场报告：2030 年趋势、预测与竞争分析

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个工作天内

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简介目录

人工智慧基础设施趋势与预测

预计到 2030 年，全球人工智慧基础设施市场将达到 1,239 亿美元，2024 年至 2030 年年复合成长率为 23.8%。该市场的主要驱动因素是资料流量的增加、云端基础的机器学习平台利用率的提高以及对连网智慧型装置的日益偏好。全球人工智慧基础设施市场前景广阔，为企业、政府机构、云端服务供应商市场带来商机。

人工智慧基础设施市场洞察

Lucintel 预测，硬体在预测期内将出现强劲增长，因为它将大量用于生物识别、机器人流程自动化和机器学习等各种应用。

由于组织对提供先进且经济实惠的人工智慧技术外包的供应商的需求不断增加，云端服务供应商可能仍是最大的细分市场。

由于快速的数位化、强大的人工智慧基础设施的可用性以及该地区 5G 网路和资料中心的持续扩张，预计亚太地区将在预测期内呈现最高的成长。

本报告回答了 11 个关键问题：

  • Q.1. 细分市场中最有前途和高成长的机会是什么？
  • Q.2.哪个细分市场将以更快的速度成长？为什么？
  • Q.3.您认为哪些地区未来会出现更快的成长？为什么？
  • Q.4. 影响市场动态的主要因素有哪些？市场的主要挑战和业务风险是什么？
  • Q.5. 这个市场的商业风险和竞争威胁是什么？
  • Q.6.这个市场有哪些新趋势？为什么？
  • Q.7.市场客户需求有何改变？
  • Q.8. 该市场有哪些新发展以及哪些公司处于领先地位？
  • Q.9.这个市场的主要企业有哪些？主要企业采取哪些策略配合措施来发展业务？
  • Q.10. 该市场上的竞争产品有哪些，由于材料或产品替代导致市场占有率下降的威胁有多大？
  • Q.11.过去年度发生了哪些併购事件，对产业产生了哪些影响？

目录

第1章执行摘要

第2章全球人工智慧基础设施市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第3章2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球人工智慧基础设施市场趋势（2018-2023）与预测（2024-2030）
  • 全球人工智慧基础设施市场（按产品划分）
    • 硬体
    • 软体
  • 按技术分類的全球人工智慧基础设施市场
    • 机器学习
    • 深度学习
  • 按部署类型分類的全球人工智慧基础设施市场
    • 本地
    • 云
    • 混合
  • 按最终用途产业分類的全球人工智慧基础设施市场
    • 公司
    • 政府机关
    • 云端服务供应商

第4章2018-2030年分地区市场趋势及预测分析

  • 全球人工智慧基础设施市场区域分布
  • 北美人工智慧基础设施市场
  • 欧洲人工智慧基础设施市场
  • 亚太地区人工智慧基础建设市场
  • 其他区域人工智慧基础设施市场

第5章竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第6章成长机会与策略分析

  • 成长机会分析
    • 全球人工智慧基础设施市场的成长机会
    • 全球人工智慧基础设施市场成长机会（按技术）
    • 按部署类型分類的全球人工智慧基础设施市场成长机会
    • 全球人工智慧基础设施市场成长机会（按最终用途产业）
    • 全球人工智慧基础设施市场成长机会（按地区）
  • 全球人工智慧基础设施市场的新趋势
  • 战略分析
    • 新产品开发
    • 全球人工智慧基础设施市场容量扩张
    • 全球人工智慧基础设施市场的合併、收购与合资
    • 认证和许可

第7章主要企业概况

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

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