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세계의 엣지 AI 개발 솔루션 : 혁신의 최첨단으로

Edge AI Development Solutions: Navigating the Edge of Innovation

발행일: | 리서치사: VDC Research Group, Inc. | 페이지 정보: 영문 35 Pages/10 Exhibits; plus 428 Exhibits/Excel | 배송안내 : 1-2일 (영업일 기준)

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

AI는 세계경제를 일변시켰습니다. 모든 업계의 조직이 AI를 활용한 경쟁상의 우위성을 찾아내려고 노력하고 있습니다. 엣지 AI 용도는 리소스에 제약이 있는 환경에서 실행되므로 AI 엔지니어에게 독특한 과제가 발생합니다. 드웨어, 이용 사례, 환경 요구에 맞게 모델을 선택, 개발, 최적화할 수 있도록 하려면 엣지 AI 개발 솔루션이 필요합니다. 문제가 있기 때문에 많은 솔루션 제공 업체는 고객의 프로젝트를 시작하고 진화하는 규제 준수를 지원하는 광범위한 전문 서비스를 제공합니다.

INFOGRAPHICS

이 보고서는 세계의 엣지 AI 개발 솔루션 시장을 조사했으며, 주요 도구에 대한 상세한 분석, 각종 동향, 전략적 고찰, 제품 유형(솔루션 서비스), 산업, 지역, 주요 벤더별 해설, 시장 규모의 추이·예측, M&A의 영향 분석, 국가별 규제 환경, 주요 벤더프로파일 등을 정리했습니다.

조사 내용:

  • 엣지 AI 개발 솔루션 수요를 촉진하고 있는 요인은 무엇인가?
  • 솔루션 제공업체는 어떻게 현재의 동향을 활용해 비즈니스를 추진할 수 있을까?
  • 성장의 기회가 가장 큰 것은 어느 지역인가?
  • 시장을 바꾸는 규제는 언제 시행되는가?
  • 종래의 AI 개발 플랫폼이 엣지용 AI를 개발하는 엔지니어의 요구에 응할 수 없는 것은 왜인가?
  • 제품 혁신을 추진하고 시장에 영향을 미치는 기업은 어딘가?

본 보고서에 게재된 조직

  • Altair
  • AlwaysAI
  • AMD
  • AWS
  • Cadence
  • DataRobot
  • Edge Impulse
  • Google
  • Hailo
  • Imagimob
  • Infineon
  • Intel
  • MathWorks
  • MediaTek
  • Microsoft
  • Nod.AI
  • NVIDIA
  • NXP
  • OmniML
  • PyTorch Foundation
  • Qualcomm
  • SensiML
  • Siemens
  • Silo AI
  • SiMa AI
  • Squint
  • STMicroelectronics
  • Texas Instruments
  • Wind River

목차

이 보고서의 내용

다루는 질문

이 보고서를 읽을 사람

본 보고서에 게재된 조직

주요 요약

  • 주요 조사 결과

세계 시장 개요

  • 전문 서비스
  • 하드웨어 유효화의 일 형태로서의 프리웨어
  • 최근 동향
  • 규칙

지역별 비교 예측

  • 아메리카
  • 유럽, 중동 및 아프리카
  • 아시아태평양

업계별 비교 예측

  • A&D
  • 자동차
  • 통신 및 네트워킹
  • 에너지·자원·유틸리티
  • 산업 자동화
  • 소매 자동화
  • 운송 물류/스마트 시티

경쟁 구도

최종 사용자 통찰력

저자 정보

VDC Research 정보

JHS 25.01.31

Inside this Report

AI has transformed the global economy. Organizations in every industry are racing to find an AI-powered competitive edge. As a result, the commercial market for edge AI development tools has grown significantly. Edge AI applications often run in resource-constrained environments, creating unique challenges for AI engineers. Edge AI development solutions are needed to enable engineers to select, develop, and optimize models for their specific hardware, use case, and environmental needs. Due to innate challenges with AI/ML development related to model creation and optimization, many solution providers offer extensive professional services to help customers launch projects and comply with evolving regulations.

INFOGRAPHICS

This report includes an in-depth analysis of the leading tools, trends, and strategic considerations relevant to the market for edge AI development solutions. It includes market sizing and forecasts from 2023 to 2028 with commentary and segmentations by product type (solution or service), region (Americas, EMEA, APAC), vertical market, and leading vendors. Qualitatively, the report includes coverage of the impact of relevant mergers and acquisitions, an analysis of regulations by country, and profiles of leading vendors. Additionally, this report includes end-user insights from VDC's 2024 Voice of the Engineer survey.

What Questions are Addressed?

  • What factors are driving demand for edge AI development solutions?
  • How can solution providers capitalize on current trends to drive business?
  • Which geographic regions present the best opportunity for growth?
  • When do market-changing regulations take effect?
  • Why are traditional AI development platforms unable to meet the needs of engineers developing AI for the edge?
  • Which companies are driving product innovation and influencing the market?

Who Should Read this Report?

This report was written for those making critical decisions regarding product, marketing, channel, and competitive strategy and tactics. This report is intended for senior decision-makers who are developing embedded and edge AI solutions, including:

  • CEO or other C-level executives
  • Corporate development and M&A teams
  • Marketing executives
  • Business development and sales leaders
  • Product development/strategy leaders
  • Channel management/strategy leaders

Key Findings:

  • Professional services have become a significant part of the commercial edge AI development solutions market today helping mitigate challenges related to project launch, model development, and regulatory compliance.
  • Industrial Automation was the largest vertical market in 2023 and will continue to grow at a double- digit CAGR through 2028 as computer vision and predictive maintenance technology evolve.
  • PyTorch adoption is outpacing other deep learning frameworks for embedded and edge AI software.
  • The Americas is the largest region for edge AI development solutions due to its favorable regulatory climate, size, and strong automotive segment. However, the rapid adoption of AI for industrial use cases and public investment in AI within the APAC presents significant opportunities as well.
  • AI/ML engineers identified improving performance as the greatest AI development challenge.

Organizations Listed in this Report:

  • Altair
  • AlwaysAI
  • AMD
  • AWS
  • Cadence
  • DataRobot
  • Edge Impulse
  • Google
  • Hailo
  • Imagimob
  • Infineon
  • Intel
  • MathWorks
  • MediaTek
  • Microsoft
  • Nod.AI
  • NVIDIA
  • NXP
  • OmniML
  • PyTorch Foundation
  • Qualcomm
  • SensiML
  • Siemens
  • Silo AI
  • SiMa AI
  • Squint
  • STMicroelectronics
  • Texas Instruments
  • Wind River

Table of Contents

Inside this Report

What Questions are Addressed?

Who Should Read this Report?

Organizations Listed in this Report

Executive Summary

  • Key Findings
    • AI Overview

Global Market Overview

  • Professional Services
  • Freeware as a Form of Hardware Enablement
  • Recent Developments
    • Mergers and Acquisitions
  • Regulations
    • European Union
    • United States
    • China
    • Japan
    • United Kingdom
    • International Guidelines

Comparative Forecasts by Region

  • Americas
  • Europe, Middle East, and Africa
  • Asia-Pacific

Comparative Forecasts by Vertical Market

  • A&D
  • Automotive
  • Communications and Networking
  • Energy, Resource, and Utilities
  • Industrial Automation
  • Retail Automation
  • Transport Logistics/Smart City

Competitive Landscape

End-user Insights

About the Authors

About VDC Research

List of Exhibits

  • Exhibit 1: Global Revenue of Edge AI Tools & Related Services, Segmented by Product Type
  • Exhibit 2: Percentage of Global Revenue from Edge AI Tools & Professional Services
  • Exhibit 3: Global Revenue of Edge AI Development Tools & Related Services, Segmented by Geographic Region
  • Exhibit 4: Percentage of Global Revenue from Edge AI Development Tools & Related Services, Segmented by Geographic Region
  • Exhibit 5: Global Revenue of Edge AI Development Tools & Related Services, Segmented by Vertical Market
  • Exhibit 6: Percentage of Global Revenue from Edge AI Development Tools & Related Services, Segmented by Vertical Market
  • Exhibit 7: Global Revenue of Edge AI Development Tools & Related Services, Segmented by Leading Vendors
  • Exhibit 8: Frameworks and Tools Used for Training AI Models
  • Exhibit 9: Greatest Challenges in Developing AI Software
  • Exhibit 10 Training Location of Current Machine Learning Models and Expected Location in Three Years

IoT & Embedded Engineering Survey

  • Exhibit 1: Primary Role Within Company/Organization
  • Exhibit 2: Respondent's Organization's Primary Industry
  • Exhibit 3: Total Number of Employees at Respondent's Organization
  • Exhibit 4: Primary Region of Residence
  • Exhibit 5: Primary Country of Residence
  • Exhibit 6: Type of Most Current or Recent Project
  • Exhibit 7: Involvement with Engineering of Embedded/Edge, Enterprise/IT, HPC, AI/ML, or Mobile/System Device or Solution
  • Exhibit 8: Type of Purchase by Respondent's Organization
  • Exhibit 9: Primary Industry Classification of Project
  • Exhibit 10 Type of Aerospace & Defense Application for Most Recent Project
  • Exhibit 11 Type of Automotive In-Vehicle Application for Most Recent Project
  • Exhibit 12 Type of Communications & Networking Application for Most Recent Project
  • Exhibit 13 Type of Consumer Electronics Application for Most Recent Project
  • Exhibit 14 Type of Digital Security Application for Most Recent Project
  • Exhibit 15 Type of Digital Signage Application for Most Recent Project
  • Exhibit 16 Type of Energy and Utilities Application for Most Recent Project
  • Exhibit 17 Type of Gaming Application for Most Recent Project
  • Exhibit 18 Type of Industrial Automation Application for Most Recent Project
  • Exhibit 19 Type of Media & Broadcasting Application for Most Recent Project
  • Exhibit 20 Type of Medical Device Application for Most Current Project
  • Exhibit 21 Type of Mobile Phone
  • Exhibit 22 Type of Office/Business Automation Application for Most Recent Project
  • Exhibit 23 Type of Transportation Application for Most Recent Project
  • Exhibit 24 Type of Retail Automation Application for Most Recent Project
  • Exhibit 25 Type of Non-Manufacturing/Services Application for Most Recent Project
  • Exhibit 26 Certification/Approval Standards Required for Current Project
  • Exhibit 27 Highest Design/Development Assurance Levels (DAL) Required for Project Software (Aerospace)
  • Exhibit 28 Highest Software Integrity Levels (SIL) Certification Required for Project Software
  • Exhibit 29 Highest Automotive Software Integrity Levels Required for Project Software
  • Exhibit 30 Capabilities/Features of Current Project
  • Exhibit 36 Consideration of Key Trends: Bill-of-Material/Sub-System Consolidation

For the full list of the 416 IoT & Embedded Technology Voice of the Engineer Survey Exhibits available with this report.

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