세계의 AI 시장(-2035년) : 제공 구분별, 기술별, 전개별, 용도별, 최종사용자별, 지역별 산업 동향 및 예측

Artificial Intelligence Market, Till 2035: Distribution by Type of Offering, Type of Technology, Type of Deployment, Type of Application Type of End User, Geographical Regions : Industry Trends and Global Forecasts

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한글목차

세계의 AI 시장 규모는 현재 2,736억 달러에서 2035년에는 5조 2,670억 달러로 성장할 것으로 예측되고, 예측 기간 동안 CAGR 30.84%로 성장할 전망입니다.

AI 시장 기회 : 부문별

제공 구분별

• 하드웨어
• 소프트웨어
• 서비스

처리 유형별

• 클라우드
• 엣지

기술 유형별

• 컴퓨터 비전
• 상황 인식 AI
• 전문가 시스템
• 머신러닝
• 자연어 처리
• 로봇공학 프로세스 자동화

전개별

• 클라우드 기반
• 온프레미스

용도별

• 자동 고객 서비스
• 부정 감지 및 위험 관리
• 의료 진단
• 마케팅 및 영업
• 예측 분석
• 로봇공학
• 공급망 최적화

최종 사용자별

• 자동차
• BFSI
• 에너지 및 유틸리티
• 정부기관
• 의료
• 제조
• 소매 및 전자상거래
• 통신

지역별

• 북미
• 미국
• 캐나다
• 멕시코
• 기타 북미 국가
• 유럽
• 오스트리아
• 벨기에
• 덴마크
• 프랑스
• 독일
• 아일랜드
• 이탈리아
• 네덜란드
• 노르웨이
• 러시아
• 스페인
• 스웨덴
• 스위스
• 영국
• 기타 유럽 국가
• 아시아
• 중국
• 인도
• 일본
• 싱가포르
• 한국
• 기타 아시아 국가
• 라틴아메리카
• 브라질
• 칠레
• 콜롬비아
• 베네수엘라
• 기타 라틴아메리카 국가
• 중동 및 북아프리카
• 이집트
• 이란
• 이라크
• 이스라엘
• 쿠웨이트
• 사우디아라비아
• 아랍에미리트(UAE)
• 기타 중동 및 북아프리카 국가
• 세계 기타 지역
• 호주
• 뉴질랜드
• 기타 국가

기술이 계속 발전함에 따라 AI는 빠르게 발전하고 있으며 거의 모든 비즈니스 분야에서 광범위하게 채택되고 있습니다. 의료, 금융, 교육, 제조 등의 산업에서 이 기술을 활용하여 데이터 기반 프로세스를 개선하고 반복적인 업무를 관리함으로써 글로벌 AI 시장의 잠재적 확장을 촉진하고 있습니다. 수년에 걸쳐 산업 자동화의 구현이 증가하고, IoT 디바이스의 사용이 증가하며, 지속적인 기술 발전이 이루어지면서 업계 참여자들에게 새로운 기회가 창출되고 있습니다. 이에 따라 이해관계자들은 다양한 분야의 진화하는 요구사항을 해결하기 위해 AI 연구 개발에 상당한 투자를 하고 있습니다.

범용 (AGI)의 부상에 힘입어 글로벌 인공 지능 시장은 예측 기간 동안 건전한 속도로 성장할 것으로 예상됩니다.

제공 구분별 시장 점유율

제공 구분별로는 인공 지능 시장은 AI 하드웨어, 소프트웨어, 서비스로 분류됩니다. 현재 소프트웨어 부문이 시장의 대부분을 차지하고 있습니다. 이는 자연어 처리, 컴퓨터 비전, 엣지 AI, 머신러닝, 딥러닝, 로봇공학 등 다양한 용도가 의료, 자동차, 금융 등 다양한 분야에서 활용되고 있기 때문입니다. 그러나 클라우드 기반 부문은 예측 기간 동안 더 높은 CAGR로 성장할 것으로 예상됩니다.

기술 유형별 시장 점유율

기술별로는 현재 머신러닝 부문이 시장의 대부분을 차지하고 있습니다. 이는 머신러닝이 AI 솔루션의 기본 구성 요소로서 컴퓨터가 데이터에서 학습하고 패턴을 식별하며 의사 결정을 내릴 수 있는 모델을 개발할 수 있게 해주는 역할을 하기 때문입니다. 그러나 자연어 처리 부문은 예측 기간 동안 더 높은 CAGR로 성장할 것으로 예상됩니다.

전개별 시장 점유율

전개별로는 현재 클라우드 기반 부문이 시장의 대부분을 차지하고 있으며, 이 부문은 향후 더 높은 CAGR로 성장할 것으로 예상됩니다.

용도별 시장 점유율

용도별로는 현재 마케팅 및 영업 부문이 시장의 대부분을 차지하고 있습니다. 이는 고객 타겟팅과 고객 참여도 향상을 위해 AI 기술이 널리 사용되고 있기 때문인 것으로 보입니다. 또한 기업들은 개인화된 마케팅 전략을 강화하고 AI 기반 고객 인사이트와 분석을 얻기 위해 AI 도구를 활용하고 있습니다.

최종 사용자 유형별 시장 점유율

최종 사용자별로 현재 BFSI 부문이 시장의 대부분을 차지하고 있습니다. 이는 운영 최적화, 대량의 금융 데이터 관리, 사기 탐지, 개인화된 고객 경험 제공을 위해 AI 기술 사용이 증가했기 때문일 수 있습니다. 그러나 의료 부문은 예측 기간 동안 더 높은 CAGR로 성장할 것으로 예상됩니다.

이 보고서는 세계의 AI 시장 동향을 조사하여 시장 개요, 배경, 시장 영향 요인 분석, 시장 규모 추이와 예측, 각종 구분, 지역별 상세 분석, 경쟁 구도, 주요 기업 프로파일 등을 정리했습니다.

목차

제1장 서문

제2장 조사 방법

제3장 경제 및 기타 프로젝트별 고려 사항

제4장 거시경제지표

• 개요
• 시장 역학

제5장 주요 요약

제6장 소개

• 개요
• AI 시장 개요
• 장래의 전망

제7장 경쟁 구도

• 개요
• AI 시장의 정세

제8장 기업 프로파일

• 개요
• Alibaba Cloud*
• AMD
• AMD
• Arrow AI
• AWS
• Baidu
• BMI
• CISCO
• DeepL
• Dialpad
• Glean
• Google
• Golden Omega
• HPE
• HQE System
• Koninklijke
• Huawei
• Inbenta
• Intel
• Meta
• Microsoft
• Moveworks
• NVIDIA
• OpenAI
• Oracle
• Qualcomm
• Salesforce
• SAP
• Seimens

제9장 밸류체인 분석

제10장 SWOT 분석

제11장 세계의 AI 시장

• 개요
• 주요 전제와 조사 방법
• 시장에 영향을 미치는 동향의 혼란
• 세계의 AI 시장 : 지금까지의 동향 및 예측
• 다변량 시나리오 분석
• 주요 시장 세분화

제12장 제공 구분별 시장 기회

• 개요
• 주요 전제와 조사 방법
• 수익 이동 분석
• 시장 변동 분석
• 침투 성장(PG) 매트릭스
• 하드웨어용 AI 시장 : 지금까지의 동향 및 예측
• 소프트웨어용 AI 시장 : 지금까지의 동향 및 예측
• 서비스용 AI 시장 : 지금까지의 동향 및 예측
• 데이터의 삼각측량과 검증

제13장 기술별 시장 기회

• 개요
• 주요 전제와 조사 방법
• 수익 이동 분석
• 시장 변동 분석
• 침투 성장(PG) 매트릭스
• 컴퓨터 비전용 AI 시장 : 지금까지의 동향 및 예측
• 상황 인식 AI용 AI 시장 : 지금까지의 동향 및 예측
• 전문가 시스템용 AI 시장 : 지금까지의 동향 및 예측
• 머신러닝용 AI 시장 : 지금까지의 동향 및 예측
• 자연어 처리용 AI 시장 : 지금까지의 동향 및 예측
• 로봇공학 프로세스 자동화(RPA)용 AI 시장 : 지금까지의 동향 및 예측
• 데이터의 삼각측량과 검증

제14장 전개별 시장 기회

• 개요
• 주요 전제와 조사 방법
• 수익 이동 분석
• 시장 변동 분석
• 침투 성장(PG) 매트릭스
• 클라우드 기반 AI 시장 : 지금까지의 동향 및 예측
• 온프레미스용 AI 시장 : 지금까지의 동향 및 예측
• 데이터의 삼각측량과 검증

제15장 용도별 시장 기회

• 개요
• 주요 전제와 조사 방법
• 수익 이동 분석
• 시장 변동 분석
• 침투 성장(PG) 매트릭스
• 자동 고객 서비스용 AI 시장 : 지금까지의 동향 및 예측
• 부정 감지 및 위험 관리용 AI 시장 : 지금까지의 동향 및 예측
• 의료 진단용 AI 시장 : 지금까지의 동향 및 예측
• 마케팅 및 영업용 AI 시장 : 지금까지의 동향 및 예측
• 예측 분석용 AI 시장 : 지금까지의 동향 및 예측
• 로봇공학용 AI 시장 : 지금까지의 동향 및 예측
• 공급망 최적화용 AI 시장 : 지금까지의 동향 및 예측
• 데이터의 삼각측량과 검증

제16장 최종 사용자별 시장 기회

• 개요
• 주요 전제와 조사 방법
• 수익 이동 분석
• 시장 변동 분석
• 침투 성장(PG) 매트릭스
• 자동차용 AI 시장 : 지금까지의 동향 및 예측
• BFSI용 AI 시장 : 지금까지의 동향 및 예측
• 에너지 및 유틸리티용 AI 시장 : 지금까지의 동향 및 예측
• 정부기관용 AI 시장 : 지금까지의 동향 및 예측
• 의료용 AI 시장 : 지금까지의 동향 및 예측
• 제조업용 AI 시장 : 지금까지의 동향 및 예측
• 소매 및 전자상거래용 AI 시장 : 지금까지의 동향 및 예측
• 통신에 있어서의 AI 시장 : 지금까지의 동향 및 예측
• 기타 AI 시장 : 지금까지의 동향 및 예측
• 데이터의 삼각측량과 검증

제17장 북미의 AI 시장 기회

• 개요
• 주요 전제와 조사 방법
• 수익 이동 분석
• 시장 변동 분석
• 침투 성장(PG) 매트릭스
• 북미의 AI 시장 : 지금까지의 동향 및 예측
• 데이터의 삼각측량과 검증

제18장 유럽의 AI 시장 기회

• 개요
• 주요 전제와 조사 방법
• 수익 이동 분석
• 시장 변동 분석
• 침투 성장(PG) 매트릭스
• 유럽의 AI 시장 : 지금까지의 동향 및 예측
• 데이터의 삼각측량과 검증

제19장 아시아의 AI 시장 기회

• 개요
• 주요 전제와 조사 방법
• 수익 이동 분석
• 시장 변동 분석
• 침투 성장(PG) 매트릭스
• 아시아의 AI 시장 : 지금까지의 동향 및 예측
• 데이터의 삼각측량과 검증

제20장 중동 및 북아프리카(MENA)에서의 AI 시장 기회

• 개요
• 주요 전제와 조사 방법
• 수익 이동 분석
• 시장 변동 분석
• 침투 성장(PG) 매트릭스
• 중동 및 북아프리카(MENA)의 AI 시장 : 지금까지의 동향 및 예측
• 데이터의 삼각측량과 검증

제21장 라틴아메리카의 AI 시장 기회

• 개요
• 주요 전제와 조사 방법
• 수익 이동 분석
• 시장 변동 분석
• 침투 성장(PG) 매트릭스
• 라틴아메리카의 AI 시장 : 지금까지의 동향 및 예측
• 데이터의 삼각측량과 검증

제22장 세계 기타 지역에서의 AI 시장 기회

• 개요
• 주요 전제와 조사 방법
• 수익 이동 분석
• 시장 변동 분석
• 침투 성장(PG) 매트릭스
• 세계 기타 지역에서의 AI 시장 : 지금까지의 동향 및 예측
• 데이터의 삼각측량과 검증

제23장 표 형식 데이터

제24장 기업 및 단체 일람

제25장 맞춤화 기회

제26장 ROOTS 구독 서비스

제27장 저자 상세

HBR

영문 목차

영문목차

Artificial Intelligence Market Overview

As per Roots Analysis, the global artificial intelligence market size is estimated to grow from USD 273.6 billion in the current year to USD 5,267 billion by 2035, at a CAGR of 30.84% during the forecast period, till 2035.

The opportunity for artificial intelligence market has been distributed across the following segments:

Type of Offering

• Hardware
• Software
• Service

Type of Processing

• Cloud
• Edge

Type of Technology

• Computer Vision
• Context-Aware AI
• Experts Systems
• Machine Learning
• Natural Language Processing
• Robotics Process Automation

Type of Deployment

• Cloud-based
• On-Premises

Type of Application

• Automated Customer Service
• Fraud Detection & Risk Management
• Healthcare Diagnostics
• Marketing & Sales
• Predictive Analytics
• Robotics
• Supply Chain Optimization

Type of End User

• Automotive
• BFSI
• Energy & Utilities
• Government
• Healthcare
• Manufacturing
• Retail & E-Commerce
• Telecommunication

Geographical Regions

• North America
• US
• Canada
• Mexico
• Other North American countries
• Europe
• Austria
• Belgium
• Denmark
• France
• Germany
• Ireland
• Italy
• Netherlands
• Norway
• Russia
• Spain
• Sweden
• Switzerland
• UK
• Other European countries
• Asia
• China
• India
• Japan
• Singapore
• South Korea
• Other Asian countries
• Latin America
• Brazil
• Chile
• Colombia
• Venezuela
• Other Latin American countries
• Middle East and North Africa
• Egypt
• Iran
• Iraq
• Israel
• Kuwait
• Saudi Arabia
• UAE
• Other MENA countries
• Rest of the World
• Australia
• New Zealand
• Other countries

ARTIFICIAL INTELLIGENCE MARKET: GROWTH AND TRENDS

Artificial Intelligence (AI) refers to a wide area of computer science focused on developing machines that can execute tasks typically requiring human intelligence. This technology features various capabilities, including speaking, seeing, language comprehension and translation, and data analysis, marking it as one of the groundbreaking developments in the digital age. Additionally, it is worth mentioning that AI is a broad term that includes a variety of technologies, such as machine learning, deep learning, computer vision, and natural language processing.

As technology continues to evolve, AI is advancing quickly and is being widely adopted across almost all business sectors. Industries such as healthcare, finance, education, and manufacturing are utilizing this technology to enhance their data-driven processes and manage repetitive tasks, boosting the potential expansion of the global AI market. Throughout the years, the increasing implementation of industrial automation, the growing use of IoT devices, and ongoing technological progress have created new opportunities for industry participants. Consequently, stakeholders are making significant investments in AI research and development to address the evolving requirements of various sectors.

Driven by the rise of artificial general intelligence (AGI), the global artificial intelligence market is expected to grow at a healthy pace during the forecast period.

ARTIFICIAL INTELLIGENCE MARKET: KEY SEGMENTS

Market Share by Type of Offering

Based on the type of offering, the global artificial intelligence market is segmented into AI hardware, software, and service offerings. According to our estimates, currently, software segment captures the majority share of the market. This can be attributed to the wide range of applications, including natural language processing, computer vision, edge AI, machine learning, deep learning, and robotics, which are utilized across various sectors such as healthcare, automotive, and finance. However, cloud-based segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of Technology

Based on the type of technology, the artificial intelligence market is segmented into computer vision, context-aware AI, experts systems, machine learning, natural language processing, and robotics process automation. According to our estimates, currently, machine learning segment captures the majority share of the market. This can be attributed to the fact that machine learning serves as a fundamental component of AI solutions, enabling the development of models that allow computers to learn from data, identify patterns, and make decisions. However, natural language processing segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of Deployment

Based on the type of deployment, the artificial intelligence market is segmented into cloud-based and on-premises. According to our estimates, currently, cloud-based segment captures the majority share of the market; further, this segment is anticipated to grow at a higher CAGR in the future. This can be attributed to scalability and flexibility of cloud-based systems, allowing organizations to adjust AI resources based on their needs. Additionally, the cost-effectiveness of cloud-based options makes them increasingly popular and accessible to small and medium-sized enterprises with limited budgets, enabling them to take advantage of AI-as-a-service offerings at a manageable price.

Market Share by Type of Application

Based on the type of application, the artificial intelligence market is segmented into automated customer service, fraud detection & risk management, healthcare diagnostics, marketing & sales, predictive analytics, robotics, and supply chain optimization. According to our estimates, currently, marketing & sales segment captures the majority share of the market. This can be attributed to the prevalent use of AI technology for audience targeting and improving customer engagement. Additionally, companies are utilizing AI tools to enhance personalized marketing strategies and gain AI-driven customer insights and analytics. However, automated customer service segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of End User

Based on the type of end user, the artificial intelligence market is segmented into automotive, BFSI, energy & utilities, government, healthcare, manufacturing, retail & e-commerce, telecommunication, and others. According to our estimates, currently, BFSI segment captures the majority share of the market. This can be attributed to its increased use of AI technology to optimize operations, manage large volumes of financial data, detect fraud, and provide personalized customer experiences. However, healthcare segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Geographical Regions

Based on the geographical regions, the artificial intelligence market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and Rest of the World. According to our estimates, currently, North America captures the majority share of the market. However, market share in Asia is anticipated to grow at a higher CAGR during the forecast period.

Example Players in Artificial Intelligence Market

• Alibaba Cloud
• AMD
• Arrow AI
• AWS
• Baidu
• BMI
• Cisco
• DeepL
• Dilapad
• Glean
• Google
• HPE
• HQE System
• Huawei
• Inbenta
• Intel
• Meta
• Microsoft
• Moveworks
• NVIDIA
• OpenAI
• Oracle
• Qualcomm
• Salesforce
• SAP
• SAS Institute
• Siemens
• Spot AI

ARTIFICIAL INTELLIGENCE MARKET: RESEARCH COVERAGE

The report on the Artificial intelligence market features insights on various sections, including:

• Market Sizing and Opportunity Analysis: An in-depth analysis of the Artificial intelligence market, focusing on key market segments, including [A] type of offering, [B] type of technology, [C] type of deployment, [D] type of application, [E] type of end user and [F] geographical regions.
• Competitive Landscape: A comprehensive analysis of the companies engaged in the Artificial intelligence market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters, [D] ownership structure.
• Company Profiles: Elaborate profiles of prominent players engaged in the Artificial intelligence market, providing details on [A] location of headquarters, [B]company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] artificial intelligence portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
• SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.

KEY QUESTIONS ANSWERED IN THIS REPORT

• How many companies are currently engaged in this market?
• Which are the leading companies in this market?
• What is the significance of edge AI in the Artificial intelligence market?
• What factors are likely to influence the evolution of this market?
• What is the current and future market size?
• What is the CAGR of this market?
• How is the current and future market opportunity likely to be distributed across key market segments?
• Which type of Artificial intelligence is expected to dominate the market?

REASONS TO BUY THIS REPORT

• The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
• Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
• The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

ADDITIONAL BENEFITS

• Complimentary Excel Data Packs for all Analytical Modules in the Report
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TABLE OF CONTENTS

1. PREFACE

• 1.1. Introduction
• 1.2. Market Share Insights
• 1.3. Key Market Insights
• 1.4. Report Coverage
• 1.5. Key Questions Answered
• 1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

• 2.1. Chapter Overview
• 2.2. Research Assumptions
• 2.3. Database Building
  • 2.3.1. Data Collection
  • 2.3.2. Data Validation
  • 2.3.3. Data Analysis
• 2.4. Project Methodology
  • 2.4.1. Secondary Research
    • 2.4.1.1. Annual Reports
    • 2.4.1.2. Academic Research Papers
    • 2.4.1.3. Company Websites
    • 2.4.1.4. Investor Presentations
    • 2.4.1.5. Regulatory Filings
    • 2.4.1.6. White Papers
    • 2.4.1.7. Industry Publications
    • 2.4.1.8. Conferences and Seminars
    • 2.4.1.9. Government Portals
    • 2.4.1.10. Media and Press Releases
    • 2.4.1.11. Newsletters
    • 2.4.1.12. Industry Databases
    • 2.4.1.13. Roots Proprietary Databases
    • 2.4.1.14. Paid Databases and Sources
    • 2.4.1.15. Social Media Portals
    • 2.4.1.16. Other Secondary Sources
  • 2.4.2. Primary Research
    • 2.4.2.1. Introduction
    • 2.4.2.2. Types
      • 2.4.2.2.1. Qualitative
      • 2.4.2.2.2. Quantitative
    • 2.4.2.3. Advantages
    • 2.4.2.4. Techniques
      • 2.4.2.4.1. Interviews
      • 2.4.2.4.2. Surveys
      • 2.4.2.4.3. Focus Groups
      • 2.4.2.4.4. Observational Research
      • 2.4.2.4.5. Social Media Interactions
    • 2.4.2.5. Stakeholders
      • 2.4.2.5.1. Company Executives (CXOs)
      • 2.4.2.5.2. Board of Directors
      • 2.4.2.5.3. Company Presidents and Vice Presidents
      • 2.4.2.5.4. Key Opinion Leaders
      • 2.4.2.5.5. Research and Development Heads
      • 2.4.2.5.6. Technical Experts
      • 2.4.2.5.7. Subject Matter Experts
      • 2.4.2.5.8. Scientists
      • 2.4.2.5.9. Doctors and Other Healthcare Providers
    • 2.4.2.6. Ethics and Integrity
      • 2.4.2.6.1. Research Ethics
      • 2.4.2.6.2. Data Integrity
  • 2.4.3. Analytical Tools and Databases

3. ECONOMIC AND OTHER PROJECT SPECIFIC CONSIDERATIONS

• 3.1. Forecast Methodology
  • 3.1.1. Top-Down Approach
  • 3.1.2. Bottom-Up Approach
  • 3.1.3. Hybrid Approach
• 3.2. Market Assessment Framework
  • 3.2.1. Total Addressable Market (TAM)
  • 3.2.2. Serviceable Addressable Market (SAM)
  • 3.2.3. Serviceable Obtainable Market (SOM)
  • 3.2.4. Currently Acquired Market (CAM)
• 3.3. Forecasting Tools and Techniques
  • 3.3.1. Qualitative Forecasting
  • 3.3.2. Correlation
  • 3.3.3. Regression
  • 3.3.4. Time Series Analysis
  • 3.3.5. Extrapolation
  • 3.3.6. Convergence
  • 3.3.7. Forecast Error Analysis
  • 3.3.8. Data Visualization
  • 3.3.9. Scenario Planning
  • 3.3.10. Sensitivity Analysis
• 3.4. Key Considerations
  • 3.4.1. Demographics
  • 3.4.2. Market Access
  • 3.4.3. Reimbursement Scenarios
  • 3.4.4. Industry Consolidation
• 3.5. Robust Quality Control
• 3.6. Key Market Segmentations
• 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

• 4.1. Chapter Overview
• 4.2. Market Dynamics
  • 4.2.1. Time Period
    • 4.2.1.1. Historical Trends
    • 4.2.1.2. Current and Forecasted Estimates
  • 4.2.2. Currency Coverage
    • 4.2.2.1. Overview of Major Currencies Affecting the Market
    • 4.2.2.2. Impact of Currency Fluctuations on the Industry
  • 4.2.3. Foreign Exchange Impact
    • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
    • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
  • 4.2.4. Recession
    • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
    • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
  • 4.2.5. Inflation
    • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
    • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
  • 4.2.6. Interest Rates
    • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
    • 4.2.6.2. Strategies for Managing Interest Rate Risk
  • 4.2.7. Commodity Flow Analysis
    • 4.2.7.1. Type of Commodity
    • 4.2.7.2. Origins and Destinations
    • 4.2.7.3. Values and Weights
    • 4.2.7.4. Modes of Transportation
  • 4.2.8. Global Trade Dynamics
    • 4.2.8.1. Import Scenario
    • 4.2.8.2. Export Scenario
  • 4.2.9. War Impact Analysis
    • 4.2.9.1. Russian-Ukraine War
    • 4.2.9.2. Israel-Hamas War
  • 4.2.10. COVID Impact / Related Factors
    • 4.2.10.1. Global Economic Impact
    • 4.2.10.2. Industry-specific Impact
    • 4.2.10.3. Government Response and Stimulus Measures
    • 4.2.10.4. Future Outlook and Adaptation Strategies
  • 4.2.11. Other Indicators
    • 4.2.11.1. Fiscal Policy
    • 4.2.11.2. Consumer Spending
    • 4.2.11.3. Gross Domestic Product (GDP)
    • 4.2.11.4. Employment
    • 4.2.11.5. Taxes
    • 4.2.11.6. R&D Innovation
    • 4.2.11.7. Stock Market Performance
    • 4.2.11.8. Supply Chain
    • 4.2.11.9. Cross-Border Dynamics

5. EXECUTIVE SUMMARY

6. INTRODUCTION

• 6.1. Chapter Overview
• 6.2. Overview of Artificial Intelligence Market
  • 6.2.1. Type of Offering
  • 6.2.2. Type of Technology
  • 6.2.3. Type of Deployment
  • 6.2.4. Type of Application
  • 6.2.5. Type of End User
• 6.3. Future Perspective

7. COMPETITIVE LANDSCAPE

• 7.1. Chapter Overview
• 7.2. Artificial Intelligence: Overall Market Landscape
  • 7.2.1. Analysis by Year of Establishment
  • 7.2.2. Analysis by Company Size
  • 7.2.3. Analysis by Location of Headquarters
  • 7.2.4. Analysis by Ownership Structure

8. COMPANY PROFILES

• 8.1. Chapter Overview
• 8.2. Alibaba Cloud*
  • 8.2.1. Company Overview
  • 8.2.2. Company Mission
  • 8.2.3. Company Footprint
  • 8.2.4. Management Team
  • 8.2.5. Contact Details
  • 8.2.6. Financial Performance
  • 8.2.7. Operating Business Segments
  • 8.2.8. Service / Product Portfolio (project specific)
  • 8.2.9. MOAT Analysis
  • 8.2.10. Recent Developments and Future Outlook
• 8.3. AMD
• 8.4. AMD
• 8.5. Arrow AI
• 8.6. AWS
• 8.7. Baidu
• 8.8. BMI
• 8.9. Cisco
• 8.10. DeepL
• 8.11. Dialpad
• 8.12. Glean
• 8.13. Google
• 8.14. Golden Omega
• 8.15. HPE
• 8.16. HQE System
• 8.17. Koninklijke
• 8.18. Huawei
• 8.19. Inbenta
• 8.20. Intel
• 8.21. Meta
• 8.22. Microsoft
• 8.23. Moveworks
• 8.24. NVIDIA
• 8.25. OpenAI
• 8.26. Oracle
• 8.27. Qualcomm
• 8.28. Salesforce
• 8.29. SAP
• 8.30. Seimens

9. VALUE CHAIN ANALYSIS

10. SWOT ANALYSIS

11. GLOBAL ARTIFICIAL INTELLIGENCE MARKET

• 11.1. Chapter Overview
• 11.2. Key Assumptions and Methodology
• 11.3. Trends Disruption Impacting Market
• 11.4. Global Artificial Intelligence Market, Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 11.5. Multivariate Scenario Analysis
  • 11.5.1. Conservative Scenario
  • 11.5.2. Optimistic Scenario
• 11.6. Key Market Segmentations

12. MARKET OPPORTUNITIES BASED ON TYPE OF OFFERING

• 12.1. Chapter Overview
• 12.2. Key Assumptions and Methodology
• 12.3. Revenue Shift Analysis
• 12.4. Market Movement Analysis
• 12.5. Penetration-Growth (P-G) Matrix
• 12.6. Artificial Intelligence Market for Hardware: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 12.7. Artificial Intelligence Market for Software: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 12.8. Artificial Intelligence Market for Services: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 12.9. Data Triangulation and Validation

13. MARKET OPPORTUNITIES BASED ON TYPE OF TECHNOLOGY

• 13.1. Chapter Overview
• 13.2. Key Assumptions and Methodology
• 13.3. Revenue Shift Analysis
• 13.4. Market Movement Analysis
• 13.5. Penetration-Growth (P-G) Matrix
• 13.6. Artificial Intelligence Market for Computer Vision: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.7. Artificial Intelligence Market for Context-Aware AI: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.8. Artificial Intelligence Market for Experts Systems: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.9. Artificial Intelligence Market for Machine Learning: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.10. Artificial Intelligence Market for Natural Language Processing: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.11. Artificial Intelligence Market for Robotics Process Automation: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 13.12. Data Triangulation and Validation

14. MARKET OPPORTUNITIES BASED ON TYPE OF DEPLOYMENT

• 14.1 Chapter Overview
• 14.2 Key Assumptions and Methodology
• 14.3. Revenue Shift Analysis
• 14.4. Market Movement Analysis
• 14.5. Penetration-Growth (P-G) Matrix
• 14.6. Artificial Intelligence Market for Cloud-Based: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 14.7. Artificial Intelligence Market for On-Premises: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 14.8. Data Triangulation and Validation

15. MARKET OPPORTUNITIES BASED ON TYPE OF APPLICATION

• 15.1 Chapter Overview
• 15.2 Key Assumptions and Methodology
• 15.3. Revenue Shift Analysis
• 15.4. Market Movement Analysis
• 15.5. Penetration-Growth (P-G) Matrix
• 15.6. Artificial Intelligence Market for Automated Customer Service: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.7. Artificial Intelligence Market for Fraud Detection & Risk Management: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.8. Artificial Intelligence Market for Healthcare Diagnostics: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.9. Artificial Intelligence Market for Marketing & Sales: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.10. Artificial Intelligence Market for Predictive Analytics: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.11. Artificial Intelligence Market for Robotics: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.12. Artificial Intelligence Market for Supply Chain Optimization: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 15.13. Data Triangulation and Validation

16. MARKET OPPORTUNITIES BASED ON TYPE OF END USER

• 16.1. Chapter Overview
• 16.2. Key Assumptions and Methodology
• 16.3. Revenue Shift Analysis
• 16.4. Market Movement Analysis
• 16.5. Penetration-Growth (P-G) Matrix
• 16.6. Artificial Intelligence Market for Automotive: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.7. Artificial Intelligence Market for BFSI: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.8. Artificial Intelligence Market for Energy & Utilities: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.9. Artificial Intelligence Market for Government: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.10. Artificial Intelligence Market for Healthcare: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.11. Artificial Intelligence Market for Manufacturing: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.12. Artificial Intelligence Market for Retail & E-Commerce: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.13. Artificial Intelligence Market for Telecommunication: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.14. Artificial Intelligence Market for Others: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 16.15. Data Triangulation and Validation

17. MARKET OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN NORTH AMERICA

• 17.1. Chapter Overview
• 17.2. Key Assumptions and Methodology
• 17.3. Revenue Shift Analysis
• 17.4. Market Movement Analysis
• 17.5. Penetration-Growth (P-G) Matrix
• 17.6. Artificial Intelligence Market in North America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 17.6.1. Artificial Intelligence Market in the US: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 17.6.2. Artificial Intelligence Market in Canada: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 17.6.3. Artificial Intelligence Market in Mexico: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 17.6.4. Artificial Intelligence Market in Other North American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 17.7. Data Triangulation and Validation

18. MARKET OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN EUROPE

• 18.1. Chapter Overview
• 18.2. Key Assumptions and Methodology
• 18.3. Revenue Shift Analysis
• 18.4. Market Movement Analysis
• 18.5. Penetration-Growth (P-G) Matrix
• 18.6. Artificial Intelligence Market in Europe: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.1. Artificial Intelligence Market in Austria: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.2. Artificial Intelligence Market in Belgium: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.3. Artificial Intelligence Market in Denmark: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.4. Artificial Intelligence Market in France: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.5. Artificial Intelligence Market in Germany: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.6. Artificial Intelligence Market in Ireland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.7. Artificial Intelligence Market in Italy: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.8. Artificial Intelligence Market in Netherlands: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.9. Artificial Intelligence Market in Norway: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.10. Artificial Intelligence Market in Russia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.11. Artificial Intelligence Market in Spain: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.12. Artificial Intelligence Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.13. Artificial Intelligence Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.14. Artificial Intelligence Market in Switzerland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.15. Artificial Intelligence Market in the UK: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 18.6.16. Artificial Intelligence Marketing Other European Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 18.7. Data Triangulation and Validation

19. MARKET OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN ASIA

• 19.1. Chapter Overview
• 19.2. Key Assumptions and Methodology
• 19.3. Revenue Shift Analysis
• 19.4. Market Movement Analysis
• 19.5. Penetration-Growth (P-G) Matrix
• 19.6. Artificial Intelligence Market in Asia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.6.1. Artificial Intelligence Market in China: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.6.2. Artificial Intelligence Market in India: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.6.3. Artificial Intelligence Market in Japan: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.6.4. Artificial Intelligence Market in Singapore: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.6.5. Artificial Intelligence Market in South Korea: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 19.6.6. Artificial Intelligence Market in Other Asian Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.7. Data Triangulation and Validation

20. MARKET OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN MIDDLE EAST AND NORTH AFRICA (MENA)

• 20.1. Chapter Overview
• 20.2. Key Assumptions and Methodology
• 20.3. Revenue Shift Analysis
• 20.4. Market Movement Analysis
• 20.5. Penetration-Growth (P-G) Matrix
• 20.6. Artificial Intelligence Market in Middle East and North Africa (MENA): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.1. Artificial Intelligence Market in Egypt: Historical Trends (Since 2019) and Forecasted Estimates (Till 205)
  • 20.6.2. Artificial Intelligence Market in Iran: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.3. Artificial Intelligence Market in Iraq: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.4. Artificial Intelligence Market in Israel: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.5. Artificial Intelligence Market in Kuwait: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.6. Artificial Intelligence Market in Saudi Arabia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.7. Artificial Intelligence Market in United Arab Emirates (UAE): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 20.6.8. Artificial Intelligence Market in Other MENA Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 20.7. Data Triangulation and Validation

21. MARKET OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN LATIN AMERICA

• 21.1. Chapter Overview
• 21.2. Key Assumptions and Methodology
• 21.3. Revenue Shift Analysis
• 21.4. Market Movement Analysis
• 21.5. Penetration-Growth (P-G) Matrix
• 21.6. Artificial Intelligence Market in Latin America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.1. Artificial Intelligence Market in Argentina: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.2. Artificial Intelligence Market in Brazil: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.3. Artificial Intelligence Market in Chile: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.4. Artificial Intelligence Market in Colombia Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.5. Artificial Intelligence Market in Venezuela: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 21.6.6. Artificial Intelligence Market in Other Latin American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 21.7. Data Triangulation and Validation

22. MARKET OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN REST OF THE WORLD

• 22.1. Chapter Overview
• 22.2. Key Assumptions and Methodology
• 22.3. Revenue Shift Analysis
• 22.4. Market Movement Analysis
• 22.5. Penetration-Growth (P-G) Matrix
• 22.6. Artificial Intelligence Market in Rest of the World: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.1. Artificial Intelligence Market in Australia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.2. Artificial Intelligence Market in New Zealand: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 22.6.3. Artificial Intelligence Market in Other Countries
• 22.7. Data Triangulation and Validation

23. TABULATED DATA

24. LIST OF COMPANIES AND ORGANIZATIONS

25. CUSTOMIZATION OPPORTUNITIES

26. ROOTS SUBSCRIPTION SERVICES

27. AUTHOR DETAIL

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