North America Prompt Engineering Market Size, Share & Trends Analysis Report By Component (Software and Services), By Application, By Technique, By Industry, By Country and Growth Forecast, 2024 - 2031

The North America Prompt Engineering Market is expected to witness market growth of 33.9% CAGR during the forecast period (2024-2031).

The US market dominated the North America Other Industry Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $42.4 million by 2031. The Canada market is expected to witness a CAGR of 40.3% during 2024-2031. Additionally, the Mexico market would register a CAGR of 39.5% during 2024-2031.



The market is a rapidly emerging and expanding sector driven by advancements in artificial intelligence (AI) and machine learning (ML). Prompt engineering involves designing and optimizing inputs (prompts) to AI models, particularly large language models (LLMs), to generate desired outputs with precision and efficiency. As the role of AI in various industries continues to evolve, the demand for effective, prompt engineering has surged, leading to significant growth in its market. The discipline plays a crucial role in enhancing the capabilities of AI models, making them more useful, reliable, and adaptable to a range of applications across different sectors.

Prompt engineering has become a cornerstone for improving AI-driven models' performance across various applications. The most common and well-known application of prompt engineering is in NLP, specifically for text generation. By fine-tuning prompts, engineers can guide models to generate high-quality, coherent text for various uses, such as creating content, summarizing information, drafting emails, and more. This is especially relevant in the publishing, marketing, and customer service industries.

Mexico’s retail industry, valued at USD 76 billion, is experiencing digital transformation, with major players such as Walmart de Mexico controlling 66.4% of all supermarket sales. As retailers integrate AI-driven solutions for personalized marketing, chatbots, and inventory management, the need for optimized prompts to fine-tune AI interactions with customers, analyze purchasing patterns, and improve automation is growing. AI-powered recommendation engines, customer service bots, and fraud detection tools require effective, prompt engineering to enhance user engagement and decision-making processes. Thus, the combination of Canada’s increasing AI adoption and Mexico’s digital transformation in retail is fuelling a strong demand for prompt engineering expertise.

List of Key Companies Profiled

• Amazon Web Services, Inc. (Amazon.com, Inc.)
• OpenAI, L.L.C.
• A3Logics
• Salesforce, Inc.
• Curved Stone Limited
• Promptmetheus
• Hugging Face, Inc.
• Vellum, Inc.
• AIPRM Corp.
• Promptitude

Market Report Segmentation

By Component

• Software
• Services
• Prompt Engineering Services
• Prompt Engineering Training

By Application

• Content Generation
• Conversational AI
• Recommendation Systems
• Software Development
• Other Application

By Technique

• n-Shot Prompting
• Chain-of-Thought Prompting
• Generated Knowledge Prompting
• Other Technique

By Industry

• BFSI
• Media & Entertainment
• Healthcare
• Retail
• IT & Telecommunication
• Automotive & Transportation
• Other Industry

By Country

• US
• Canada
• Mexico
• Rest of North America