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인공지능 인프라 시장 보고서 : 동향, 예측, 경쟁 분석(-2030년)

Artificial Intelligence Infrastructure Market Report: Trends, Forecast and Competitive Analysis to 2030
발행일: | 리서치사: Lucintel | 페이지 정보: 영문 150 Pages | 배송안내 : 3일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

인공지능 인프라 동향과 예측

세계 인공지능 인프라 시장은 2024년부터 2030년까지 복합 연간 성장률(CAGR) 23.8%를 나타낼 전망이며, 2030년까지 1,239억 달러에 달할 것으로 예측됩니다. 이 시장의 주요 촉진 요인은 데이터 트래픽 증가, 클라우드 기반 머신러닝 플랫폼 활용도 증가, 연결된 스마트 장치에 대한 선호도 증가입니다. 세계 인공지능 인프라 시장의 미래는 기업, 정부 기관 및 클라우드 서비스 제공 업체 시장에 비즈니스 기회가 있으며 유망시되고 있습니다.

인공지능 인프라 시장 인사이트

Lucintel의 예측에서 하드웨어는 생체인증, 로봇에 의한 프로세스 자동화, 머신러닝 등 다양한 용도로 크게 이용되기 때문에 예측 기간 중에 높은 성장이 예상됩니다.

클라우드 서비스 제공업체는 높은 수준의 저렴한 AI 기술 아웃소싱을 제공하는 공급업체에 대한 조직 수요가 증가하고 있기 때문에 최대 부문로 유지될 것으로 보입니다.

아시아태평양은 급속한 디지털화, 견고한 인공지능 인프라 가용성, 5G 네트워크와 이 지역의 데이터센터의 지속적인 확장으로 예측 기간 동안 가장 높은 성장을 보일 것으로 예상됩니다.

이 보고서는 다음 11가지 주요 질문에 답변합니다.

  • Q.1. 시장 부문 중 가장 유망하고 고성장하는 기회는 무엇인가?
  • Q.2. 어떤 부문이 더 빠른 속도로 성장하는지, 그리고 그 이유는?
  • Q.3. 앞으로 성장이 가속될 것으로 보이는 지역과 그 이유는?
  • Q.4. 시장 역학에 영향을 미치는 주요 요인은? 시장의 주요 과제와 비즈니스 리스크는?
  • Q.5. 이 시장에서의 비즈니스 리스크와 경쟁 위협은?
  • Q.6. 이 시장에서의 새로운 동향과 그 이유는?
  • Q.7. 시장에서 고객 수요 변화에는 어떤 것이 있는가?
  • Q.8. 이 시장에서의 새로운 개발과 그 개발을 리드하고 있는 기업은?
  • Q.9.이 시장의 주요 기업은? 주요 기업은 사업 성장을 위해 어떤 전략적 노력을 추진하고 있는가?
  • Q.10. 이 시장에서 경쟁 제품은 어떠한 것이며, 재료 및 제품의 대체로 인한 시장 점유율 저하의 위협은 어느 정도입니까?
  • Q.11. 지난 5년 동안 어떤 M&D가 수행되었고 업계에 어떤 영향을 미쳤는가?

목차

제1장 주요 요약

제2장 세계의 인공지능 인프라 시장 : 시장 역학

  • 소개, 배경, 분류
  • 공급망
  • 업계의 촉진 요인과 과제

제3장 2018년부터 2030년까지 시장 동향과 예측 분석

  • 거시경제 동향(2018-2023년)과 예측(2024-2030년)
  • 세계의 인공지능 인프라 시장 동향(2018-2023)과 예측(2024-2030)
  • 제공물별 세계의 인공지능 인프라 시장
    • 하드웨어
    • 소프트웨어
  • 기술별 세계의 인공지능 인프라 시장
    • 머신러닝
    • 딥러닝
  • 도입 유형별 세계의 인공지능 인프라 시장
    • 온프레미스
    • 클라우드
    • 하이브리드
  • 최종 이용 산업별 세계의 인공지능 인프라 시장
    • 기업
    • 정부기관
    • 클라우드 서비스 제공업체

제4장 2018년부터 2030년까지 지역별 시장 동향과 예측 분석

  • 지역별 세계의 인공지능 인프라 시장
  • 북미 인공지능 인프라 시장
  • 유럽의 인공지능 인프라 시장
  • 아시아태평양 인공지능 인프라 시장
  • 기타 지역 인공지능 인프라 시장

제5장 경쟁 분석

  • 제품 포트폴리오 분석
  • 운영상의 통합
  • Porter's Five Forces 분석

제6장 성장 기회와 전략적 분석

  • 성장 기회 분석
    • 제공에 의한 세계의 인공지능 인프라 시장의 성장 기회
    • 기술별 세계의 인공지능 인프라 시장의 성장 기회
    • 전개 유형별 세계의 인공지능 인프라 시장의 성장 기회
    • 최종 이용 산업별 세계의 인공지능 인프라 시장의 성장 기회
    • 지역별 세계의 인공지능 인프라 시장의 성장 기회
  • 세계의 인공지능 인프라 시장의 새로운 동향
  • 전략적 분석
    • 신제품 개발
    • 세계 인공지능 인프라 시장의 능력 확대
    • 세계의 인공지능 인프라 시장에서의 합병, 인수, 합작 사업
    • 인증 및 라이선스

제7장 유력 기업의 기업 프로파일

  • NVIDIA
  • Intel
  • 오라클
  • 삼성전자
  • Micron Technology
  • Advanced Micro Devices
  • IBM
  • Google
  • Microsoft
  • Amazon Web Services
BJH 23.10.31

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
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