サンプル依頼リスト カート
  • English
  • Korean
デフォルト表紙
市場調査レポート
商品コード
1356831

人工知能インフラ市場レポート：2030年までの動向、予測、競合分析

Artificial Intelligence Infrastructure Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日: | 発行: Lucintel | ページ情報: 英文 150 Pages | 納期: 3営業日

● お客様のご希望に応じて、既存データの加工や未掲載情報（例：国別セグメント）の追加などの対応が可能です。　 詳細はお問い合わせください。

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=156.76円

ご注意:　DRM (デジタル著作権管理システム) 付PDFになります。
制限内容は、上記ライセンスの[詳細]アイコンをクリックしてご確認ください。

人工知能インフラ市場レポート：2030年までの動向、予測、競合分析
出版日: 2023年09月01日
発行: Lucintel
ページ情報: 英文 150 Pages
納期: 3営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
  • 全表示
  • 概要
  • 目次
概要

人工知能インフラの動向と予測

世界の人工知能インフラ市場は、2024年から2030年までのCAGRが23.8%で、2030年までに推定1,239億米ドルに達すると予測されます。この市場の主な促進要因は、データトラフィックの増加、クラウドベースの機械学習プラットフォームの利用率の上昇、接続されたスマートデバイスへの嗜好の高まりです。世界の人工知能インフラ市場の将来は、企業、政府機関、クラウドサービスプロバイダー市場にビジネスチャンスがあり、有望視されています。

人工知能インフラ市場の洞察

Lucintelの予測では、ハードウェアは生体認証、ロボットによるプロセス自動化、機械学習など様々な用途で大きく利用されるため、予測期間中に高い成長が見込まれます。

クラウドサービスプロバイダーは、高度で手頃な価格のAI技術アウトソーシングを提供するプロバイダーに対する組織の需要が高まっているため、最大セグメントであり続けると思われます。

アジア太平洋は、急速なデジタル化、堅牢なAIインフラの利用可能性、同地域における5Gネットワークとデータセンターの継続的な拡張により、予測期間中に最も高い成長を示すと予想されます。

本レポートでは、以下の11の主要な質問に回答している：

  • Q.1.市場セグメントのうち、最も有望かつ高成長な機会は何か？
  • Q.2.どのセグメントがより速いペースで成長するのか、またその理由は？
  • Q.3.今後成長が加速すると思われる地域とその理由は？
  • Q.4.市場力学に影響を与える主な要因は何か？市場における主な課題とビジネスリスクは？
  • Q.5.この市場におけるビジネスリスクと競合の脅威は？
  • Q.6.この市場における新たな動向とその理由は？
  • Q.7.市場における顧客の需要の変化にはどのようなものがありますか？
  • Q.8.この市場における新たな開発と、その開発をリードしている企業は？
  • Q.9.この市場における主要企業は？主要企業は事業成長のためにどのような戦略的取り組みを進めているのか？
  • Q.10.この市場における競合製品にはどのようなものがあり、材料や製品の代替による市場シェア低下の脅威はどの程度ありますか？
  • Q.11.過去5年間にどのようなM&Aが行われ、業界にどのような影響を与えましたか？

目次

第1章 エグゼクティブサマリー

第2章 世界の人工知能インフラ市場：市場力学

  • イントロダクション、背景、分類
  • サプライチェーン
  • 業界の促進要因と課題

第3章 2018年から2030年までの市場動向と予測分析

  • マクロ経済動向（2018～2023年）と予測（2024～2030年）
  • 世界の人工知能インフラストラクチャ市場動向（2018-2023）と予測（2024-2030）
  • 提供物別の世界の人工知能インフラストラクチャ市場
    • ハードウェア
    • ソフトウェア
  • テクノロジー別の世界の人工知能インフラストラクチャ市場
    • 機械学習
    • ディープラーニング
  • 導入タイプ別の世界の人工知能インフラストラクチャ市場
    • オンプレミス
    • クラウド
    • ハイブリッド
  • 最終用途産業別の世界の人工知能インフラストラクチャ市場
    • 企業
    • 政府機関
    • クラウドサービスプロバイダー

第4章 2018年から2030年までの地域別の市場動向と予測分析

  • 地域別の世界の人工知能インフラストラクチャ市場
  • 北米の人工知能インフラ市場
  • 欧州の人工知能インフラ市場
  • アジア太平洋人工知能インフラ市場
  • その他地域人工知能インフラ市場

第5章 競合の分析

  • 製品ポートフォリオ分析
  • 運用上の統合
  • ポーターのファイブフォース分析

第6章 成長機会と戦略的分析

  • 成長機会分析
    • 提供による世界の人工知能インフラストラクチャ市場の成長機会
    • テクノロジー別の世界の人工知能インフラストラクチャ市場の成長機会
    • 展開タイプ別の世界の人工知能インフラストラクチャ市場の成長機会
    • 最終用途産業別の世界の人工知能インフラストラクチャ市場の成長機会
    • 地域別の世界の人工知能インフラ市場の成長機会
  • 世界の人工知能インフラストラクチャ市場の新たな動向
  • 戦略的分析
    • 新製品の開発
    • 世界の人工知能インフラ市場の能力拡大
    • 世界の人工知能インフラ市場における合併、買収、合弁事業
    • 認証とライセンシング

第7章 有力企業の企業プロファイル

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

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