생성형 AI 시장 : 기술별, 구성요소별, 용도별, 산업별, 지역별(2024-2029년)

Generative AI Market by Technology, Component, Application, Industry Vertical, and Region 2024 - 2029

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한글목차

북미가 2029년까지 전 세계 생성형 AI 시장 규모를 주도할 것으로 예상됩니다. 헬스케어는 2029년까지 생성형 AI의 주요 산업이 될 것이며, API 지원 솔루션은 2029년까지 연평균 47%의 빠른 성장을 보일 것으로 예상됩니다. 생성형 AI 서비스는 2029년까지 연평균 43.9%의 성장률을 보이며 25억 달러 규모 시장이 될 것으로 예상됩니다. 미디어, 광고, 엔터테인먼트 분야는 2029년까지 179억 달러의 기회가 있습니다.

생성형 AI는 이미지, 음악, 텍스트 등 새로운 원본 데이터나 컨텐츠를 생성할 수 있는 인공지능의 일종입니다. 기존 데이터를 인식하고 분류하도록 설계된 다른 유형의 AI와 달리, 생성형 AI는 알고리즘을 사용하여 이전에 존재하지 않았던 새로운 데이터를 생성합니다. 이는 데이터 내의 패턴과 관계를 분석하고 이를 기반으로 새로운 컨텐츠를 생성하는 방식으로 이루어집니다.

이 기술은 빠르게 발전하고 있으며, 생성되는 컨텐츠의 품질과 다양성을 향상시키기 위해 새로운 모델과 아키텍처가 개발되고 있으며, GAN, 트랜스포머, VAE와 같은 기술은 보다 현실적이고 복잡한 생성 모델을 가능하게 했습니다. 그러나 데이터 프라이버시, 편향성 등의 문제는 여전히 존재하며, 윤리적이고 공정한 기술 사용을 보장하기 위해 해결해야 할 과제로 남아있습니다.

자동화 수요 증가와 다양한 산업에서 생성형 AI의 채택이 확대되고 있는 것이 시장을 주도하고 있습니다. 또한, 딥러닝 알고리즘의 부상과 대규모 데이터 세트의 가용성 또한 시장 성장을 가속하고 있습니다.

이 보고서는 세계 생성형 AI 시장에 대해 조사했으며, 시장 개요, 기술 및 용도 분석, 2029년까지의 예측, 시장 진출기업 프로파일 등의 정보를 전해드립니다.

목차

제1장 주요 요약

제2장 서론

• 생성형 AI의 정의
• 생성형 AI의 기능 구조
• 생성형 AI와 윤리
• 인간의 많은 기능을 대체하는 생성형 AI
• 시장 세분화 분석
• 시장 동향 분석
• 팬데믹의 영향 분석
• 생성형 AI 밸류체인 분석
• 규제 시나리오 분석
• 경쟁 구도 분석
• 최근 산업 발전
• 생성형 AI 투자 분석

제3장 기술과 용도 분석

• 생성형 AI 인프라 분석
• 생성형 AI 소프트웨어 분석
• 생성형 AI 기술 분석
• 구현 기술과 영향 분석
• 생성형 AI 제품 분석 : 텍스트 vs. 비디오 vs. 영상
• 생성형 AI 도입 분석 : 온프레미스, 클라우드, 하이브리드
• 생성형 AI 도입 분석 : 중소기업 vs. 대기업 vs. 정부기관
• 생성형 AI의 용도와 이용 사례 분석

제4장 생성형 AI 기업 분석

• Adobe Inc.
• Amazon Inc.
• D-ID(De-Identification Ltd.)
• Genie AI Ltd.
• Alphabet Inc.
• IBM Corporation(SXiQ)
• Microsoft Corporation
• MOSTLY AI
• Rephrase.ai
• Synthesia Limited
• Open AI(ChatGPT)
• Altair Engineering Inc.
• Archistar Pty Ltd
• OpenAPI Initiative
• Anthropic
• Cresta
• Adept AI Labs
• Stability AI
• Jasper AI
• Circle Labs
• Hugging Face
• Glean Technologies Inc.
• Snowflake Inc(Streamlit)
• Deepdub.ai
• Weights & Biases
• Tonic.ai
• Fiddler AI
• OthersideAI(HyperWrite)
• RelationalAI
• Hebbia AI
• Sanas.ai
• CommonSim-1(csm.ai)
• CoPilot
• Descript
• EmailTriager
• Grain
• Mem Mem Labs Inc.
• Otter.ai
• Scribe
• 24/7.ai Inc.
• Advanced Micro Devices Inc.
• AIBrian Inc.
• Apple Inc.
• ARM Limited
• Microchip Technology(Atmel Corporation)
• Baidu Inc.
• Buddy
• Cisco Systems
• CloudMinds
• Digital Reasoning Systems Inc.
• Meta Platform
• CoLane(Fraight AI)
• Thales Group(Gemalto N.V.)
• General Electric
• General Vision Inc.
• Graphcore
• H2O.ai
• Hewlett Packard Enterprise
• Huawei Technologies Co. Ltd.
• Inbenta Technologies Inc.
• Intel Corporation
• iRobot Corporation
• Ultraleap(Leap Motion)
• LG Electronics
• Lockheed Martin
• HubSpot(Motion AI)
• Nuance Communications Inc.
• Oracle Corporation
• Qualcomm Incorporated
• Rockwell Automation Inc.
• Samsung Electronics Co Ltd.
• Sentient.io
• SK Telecom
• SoftBank Robotics Holding Corp.
• SparkCognition Inc.
• Wind River Systems Inc.

제5장 생성형 AI 시장 분석과 예측 : 2024년-2029년

• 세계의 생성형 AI 시장 : 2024년-2029년
• 지역 생성형 AI 시장 : 2024년-2029년
• 세계의 생성형 AI 임베디드 유닛 전개 : 2024-2029년

제6장 결론 및 제안

LSH

영문 목차

영문목차

Overview:

This report assesses the anticipated impact of the generative AI market in various areas including ChatGPT in embedded consumer devices, IoT systems, software and general-purpose platforms. The report discusses the inherent relation of generative AI with AGI, ASI, and strong AI, the impact of enabling technology like 5G, Industry 4.0, MEC, self-driven network, and others, the potential implication and use cases in different industry verticals.

Select Findings from Report:

• North America will lead Generative AI market globally through 2029

• Healthcare will be the leading industry vertical for generative AI through 2029

• API-enabled solutions will be fasted growing opportunity at 47% CAGR through 2029

• Generative AI services will grow at 43.9% CAGR, representing a $2.5B market by 2029

• The media, advertising, and entertainment vertical will be a $17.9B opportunity by 2029

Generative AI is a type of artificial intelligence that is capable of generating new and original data or content, such as images, music, or text. Unlike other types of AI, which are designed to recognize and classify existing data, generative AI uses algorithms to create new data that did not previously exist. This is done by analyzing patterns and relationships within the data and generating new content based on those patterns.

The technology is advancing rapidly, with new models and architectures being developed to improve the quality and diversity of generated content. The technology like GANs, transformers, and VAEs, which allowed for more realistic and complex generative models. However, challenges still existed in areas such as data privacy and bias, which needed to be addressed to ensure ethical and fair use of the technology.

The market is driven by the increasing need for automation and the growing adoption of generative AI in various industries. Additionally, the rise of deep learning algorithms and the availability of large datasets have also fueled market growth.

Companies in Report:

Table of Contents

1.0. Executive Summary

2.0. Introduction

• 2.1. Defining Generative AI
  • 2.1.1. Relation with AGI
  • 2.1.2. Relation with ASI
  • 2.1.3. Strong AI and Generative AI
  • 2.1.4. Machine Learning and Generative AI
  • 2.1.5. Conversational User Interface and Generative AI
  • 2.1.6. Stakeholder Benefits
• 2.2. How Generative AI Functions
• 2.3. Generative AI and Ethics
• 2.4. Generative AI to Replace Many Human Functions
• 2.5. Market Segmentation Analysis
  • 2.5.1. Generative AI Infrastructure Market
  • 2.5.2. Generative AI Software Market
  • 2.5.3. Generative AI Service Market
• 2.6. Market Dynamic Analysis
  • 2.6.1. Market Driver Analysis
  • 2.6.2. Market Challenge Analysis
  • 2.6.3. Market Opportunity Analysis
• 2.7. Pandemic Impact Analysis
• 2.8. Generative AI Value Chain Analysis
  • 2.8.1. Hardware Manufacturers
  • 2.8.2. IoT Companies
  • 2.8.3. Software Companies
  • 2.8.4. Analytics Providers
  • 2.8.5. AI Companies
  • 2.8.6. End Users
• 2.9. Regulatory Scenario Analysis
• 2.10. Competitive Landscape Analysis
• 2.11. Recent Industry Development
• 2.12. Generative AI Investment Analysis

3.0. Technology and Application Analysis

• 3.1. Generative AI Infrastructure Analysis
  • 3.1.1. Consumer Device
    • 3.1.1.1. Wearable Device
    • 3.1.1.2. Smartphone
    • 3.1.1.3. Tablet
    • 3.1.1.4. Desktop
    • 3.1.1.5. Laptop
  • 3.1.2. Embedded IoT Device
    • 3.1.2.1. Medical Equipment
    • 3.1.2.2. Smart Appliances
    • 3.1.2.3. Industrial Machines
    • 3.1.2.4. Robotics Device and Drone
    • 3.1.2.5. Entertainment Device
    • 3.1.2.6. Security Devices
    • 3.1.2.7. Networking Devices
    • 3.1.2.8. V2X Devices
    • 3.1.2.9. Smart Grid Device
    • 3.1.2.10. Military Device
    • 3.1.2.11. Energy Management Device
    • 3.1.2.12. Agriculture Specific Device
  • 3.1.3. Embedded IoT System
    • 3.1.3.1. Connected home system
    • 3.1.3.2. Public place monitoring system
    • 3.1.3.3. Connected utility system
    • 3.1.3.4. Precision Agriculture Systems
    • 3.1.3.5. Smart Parking Systems
    • 3.1.3.6. Smart Apparel
• 3.2. Generative AI Software Analysis
  • 3.2.1. Embedded Software
    • 3.2.1.1. Generative Intelligence
    • 3.2.1.2. Chatbots and Intelligent Digital Assistants
    • 3.2.1.3. Monitoring and Tracking
    • 3.2.1.4. Surveillance and Security
    • 3.2.1.5. Analytics and Insights
    • 3.2.1.6. D2D Communication
    • 3.2.1.7. Authentication and Authorization
    • 3.2.1.8. Regulatory and Compliance
  • 3.2.2. AI Platform
    • 3.2.2.1. API Solution
    • 3.2.2.2. SDK Solution
• 3.3. Generative AI Technology Analysis
  • 3.3.1. Generative Adversarial Networks
  • 3.3.2. Transformers
  • 3.3.3. Variational Auto-encoders
  • 3.3.4. Diffusion Networks
• 3.4. Enabling Technology and Impact Analysis
  • 3.4.1. LTE vs. 5G Connectivity
  • 3.4.2. Multi-access Edge Computing
  • 3.4.3. Industry 4.0 and Factory Automation
  • 3.4.4. Self-Driven Network and Domain Specific Network
  • 3.4.5. Cloud Robotics and Surveillance
  • 3.4.6. Predictive Analytics and Design
  • 3.4.7. Smart Workplace and City Management
• 3.5. Generative AI Product Analysis: Text vs. Video vs. Image
• 3.6. Generative AI Deployment Analysis: On-premise vs. Cloud vs. Hybrid
• 3.7. Generative AI Adoption Analysis: SMBs vs. Large Enterprise vs. Government Institute
• 3.8. Generative AI Application and Use Case Analysis
  • 3.8.1. Media, Advertising, & Entertainment
  • 3.8.2. Banking and Financial Institute
  • 3.8.3. Telecommunication & IT
  • 3.8.4. Healthcare Infrastructure and Medical Services
  • 3.8.5. Automotive, Transportation and Logistics
  • 3.8.6. Industrial and Manufacturing
  • 3.8.7. Retail, Apparel, and other Consumer Products
  • 3.8.8. Building and Construction
  • 3.8.9. Agriculture
  • 3.8.10. Security and Surveillance
  • 3.8.11. Government, Military and Defense
  • 3.8.12. Utilities and Energy Exploration
  • 3.8.13. Education and Adult Learning

4.0. Generative AI Company Analysis

• 4.1. Adobe Inc.
• 4.2. Amazon Inc.
• 4.3. D-ID (De-Identification Ltd.)
• 4.4. Genie AI Ltd.
• 4.5. Alphabet Inc.
• 4.6. IBM Corporation (SXiQ)
• 4.7. Microsoft Corporation
• 4.8. MOSTLY AI
• 4.9. Rephrase.ai
• 4.10. Synthesia Limited
• 4.11. Open AI (ChatGPT)
• 4.12. Altair Engineering Inc.
• 4.13. Archistar Pty Ltd
• 4.14. OpenAPI Initiative
• 4.15. Anthropic
• 4.16. Cresta
• 4.17. Adept AI Labs
• 4.18. Stability AI
• 4.19. Jasper AI
• 4.20. Circle Labs
• 4.21. Hugging Face
• 4.22. Glean Technologies Inc.
• 4.23. Snowflake Inc (Streamlit)
• 4.24. Deepdub.ai
• 4.25. Weights & Biases
• 4.26. Tonic.ai
• 4.27. Fiddler AI
• 4.28. OthersideAI (HyperWrite)
• 4.29. RelationalAI
• 4.30. Hebbia AI
• 4.31. Sanas.ai
• 4.32. CommonSim-1 (csm.ai)
• 4.33. CoPilot
• 4.34. Descript
• 4.35. EmailTriager
• 4.36. Grain
• 4.37. Mem Mem Labs Inc.
• 4.38. Otter.ai
• 4.39. Scribe
• 4.40. 24/7.ai Inc.
• 4.41. Advanced Micro Devices Inc.
• 4.42. AIBrian Inc.
• 4.43. Apple Inc.
• 4.44. ARM Limited
• 4.45. Microchip Technology (Atmel Corporation)
• 4.46. Baidu Inc.
• 4.47. Buddy
• 4.48. Cisco Systems
• 4.49. CloudMinds
• 4.50. Digital Reasoning Systems Inc.
• 4.51. Meta Platform
• 4.52. CoLane (Fraight AI)
• 4.53. Thales Group (Gemalto N.V.)
• 4.54. General Electric
• 4.55. General Vision Inc.
• 4.56. Graphcore
• 4.57. H2O.ai
• 4.58. Hewlett Packard Enterprise
• 4.59. Huawei Technologies Co. Ltd.
• 4.60. Inbenta Technologies Inc.
• 4.61. Intel Corporation
• 4.62. iRobot Corporation
• 4.63. Ultraleap (Leap Motion)
• 4.64. LG Electronics
• 4.65. Lockheed Martin
• 4.66. HubSpot (Motion AI)
• 4.67. Nuance Communications Inc.
• 4.68. Oracle Corporation
• 4.69. Qualcomm Incorporated
• 4.70. Rockwell Automation Inc.
• 4.71. Samsung Electronics Co Ltd.
• 4.72. Sentient.io
• 4.73. SK Telecom
• 4.74. SoftBank Robotics Holding Corp.
• 4.75. SparkCognition Inc.
• 4.76. Wind River Systems Inc.

5.0. Generative AI Market Analysis and Forecasts 2024-2029

• 5.1. Global Generative AI Market 2024-2029
  • 5.1.1. Global Generative AI Market 2024-2029
  • 5.1.2. Global Generative AI Market by Component
    • 5.1.2.1. Global Generative AI Market by Hardware
      • 5.1.2.1.1. Global Generative AI Market by Embedded Device
        • 5.1.2.1.1.1. Global Generative AI Market by Consumer Device
        • 5.1.2.1.1.2. Global Generative AI Market by Embedded IoT Device
      • 5.1.2.1.2. Global Generative AI Market by Embedded IoT System
    • 5.1.2.2. Global Generative AI Market by Software
      • 5.1.2.2.1. Global Generative AI Market by Embedded Software Solution
      • 5.1.2.2.2. Global Generative AI Market by Platform Solution
    • 5.1.2.3. Global Generative AI Market by Service Type
      • 5.1.2.3.1. Global Generative AI Market by Professional Service Type
  • 5.1.3. Global Generative AI Market by Technology
  • 5.1.4. Global Generative AI Market by Product Type
  • 5.1.5. Global Generative AI Market by Deployment Model
  • 5.1.6. Global Generative AI Market by Enterprise
  • 5.1.7. Global Generative AI Market by Industry Vertical
    • 5.1.7.1. Global Generative AI Market by Media, Advertising, & Entertainment Application
    • 5.1.7.2. Global Generative AI Market by Banking and Financial Application
    • 5.1.7.3. Global Generative AI Market by Telecommunication & IT Application
    • 5.1.7.4. Global Generative AI Market by Healthcare & Medical Application
    • 5.1.7.5. Global Generative AI Market by Automotive, Transportation & Logistics Application
    • 5.1.7.6. Global Generative AI Market by Industrial & Manufacturing Application
    • 5.1.7.7. Global Generative AI Market by Retail, Apparel, & Consumer Electronics Application
    • 5.1.7.8. Global Generative AI Market by Building and Construction Application
    • 5.1.7.9. Global Generative AI Market by Agriculture Application
    • 5.1.7.10. Global Generative AI Market by Security and Surveillance Application
    • 5.1.7.11. Global Generative AI Market by Government, Military and Defense Application
    • 5.1.7.12. Global Generative AI Market by Utility and Energy Application
    • 5.1.7.13. Global Generative AI Market by Education and Legal Application
  • 5.1.8. Global Generative AI Market by Region
    • 5.1.8.1. North America Generative AI Market by Country
    • 5.1.8.2. Europe Generative AI Market by Country
    • 5.1.8.3. APAC Generative AI Market by Country
    • 5.1.8.4. MEA Generative AI Market by Country
    • 5.1.8.5. Latin America Generative AI Market by Country
• 5.2. Regional Generative AI Market 2024-2029
  • 5.2.1. North America Generative AI Market by Device, IoT System, Software, Service, Technology, Product, and Industry Vertical
  • 5.2.2. Europe Generative AI Market by Device, IoT System, Software, Service, Technology, Product, and Industry Vertical
  • 5.2.3. APAC Generative AI Market by Device, IoT System, Software, Service, Technology, Product, and Industry Vertical
  • 5.2.4. MEA Generative AI Market by Device, IoT System, Software, Service, Technology, Product, and Industry Vertical
  • 5.2.5. Latin America Generative AI Market by Device, IoT System, Software, Service, Technology, Product, and Industry Vertical
• 5.3. Global Generative AI Embedded Unit Deployment 2024-2029
  • 5.3.1. Global Generative AI Embedded Unit Deployment 2024-2029
  • 5.3.2. Global Generative AI Embedded Unit Deployment by Component
    • 5.3.2.1. Global Generative AI Embedded Unit Deployment by Consumer Device
    • 5.3.2.2. Global Generative AI Embedded Unit Deployment by IoT Device
    • 5.3.2.3. Global Generative AI Embedded Unit Deployment by Embedded IoT System
    • 5.3.2.4. Global Generative AI Embedded Unit Deployment by Software
      • 5.3.2.4.1. Global Generative AI Embedded Unit Deployment by Embedded Software
      • 5.3.2.4.2. Global Generative AI Embedded Unit Deployment by Platform Solution
  • 5.3.3. Global Generative AI Embedded Unit Deployment by Region
    • 5.3.3.1. North America Generative AI Embedded Unit Deployment by Country
    • 5.3.3.2. Europe Generative AI Embedded Unit Deployment by Country
    • 5.3.3.3. APAC Generative AI Embedded Unit Deployment by Country
    • 5.3.3.4. MEA Generative AI Embedded Unit Deployment by Country
    • 5.3.3.5. Latin America Generative AI Embedded Unit Deployment by Country

6.0. Conclusions and Recommendations

관련자료