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
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- Business development and sales leaders
- Product development/strategy leaders
- Channel management/strategy leaders
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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
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- Nod.AI
- NVIDIA
- NXP
- OmniML
- PyTorch Foundation
- Qualcomm
- SensiML
- Siemens
- Silo AI
- SiMa AI
- Squint
- STMicroelectronics
- Texas Instruments
- Wind River
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