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LAMEA 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

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    Report

  • 125 Pages
  • February 2025
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6056139
The Latin America, Middle East and Africa Prompt Engineering Market is expected to witness market growth of 38.0% CAGR during the forecast period (2024-2031).

The Brazil market dominated the LAMEA Prompt Engineering Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $51.1 million by 2031. The Argentina market is exhibiting a CAGR of 40% during 2024-2031. Additionally, the UAE market is expected to experience a CAGR of 36.8% during 2024-2031.



Prompt engineering allows businesses to integrate advanced AI models with existing processes and systems without requiring fundamental changes to their underlying infrastructure. This makes it easier for organizations to adopt AI-powered tools that leverage prompt engineering to enhance their capabilities. The availability of open-source and cloud-based AI models has led to greater accessibility. Platforms like OpenAI’s GPT, Google’s BERT, and others have made it easier for developers and businesses to work with powerful AI models. As these tools become more accessible, prompt engineering has emerged as an essential skill in making these models more effective for specific tasks.

Organizations, particularly those in customer-facing industries, are under constant pressure to improve the quality and efficiency of their AI-driven solutions. Prompt engineering enables businesses to optimize the performance of their AI systems, ensuring that they deliver better results in a fraction of the time, which is a major driver of adoption.

The market is experiencing several key trends shaping its future. As AI becomes more integrated into critical industries like healthcare, finance, and law, there is a growing demand for transparency in how AI models generate their outputs. Prompt engineering is being used to improve the interpretability of AI responses, making it easier for users to understand how a particular output was derived from the input prompt.

The UAE is witnessing a transformative AI boom, with AI projected to contribute over 14% of the country’s GDP ($96 billion) by 2030. The UAE’s AI-driven economy, expanding at an annual 33.5% growth rate, signals increasing reliance on generative AI models, automation tools, and large language models (LLMs). As a result, industries such as finance, healthcare, and smart governance require advanced, prompt engineering strategies to enhance AI decision-making, optimize virtual assistants, and improve automated workflows. In conclusion, the combined effect of these AI investments in Brazil and the UAE fosters a fertile environment for the market.

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

  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA Prompt Engineering Market, by Component
1.4.2 LAMEA Prompt Engineering Market, by Application
1.4.3 LAMEA Prompt Engineering Market, by Technique
1.4.4 LAMEA Prompt Engineering Market, by Industry
1.4.5 LAMEA Prompt Engineering Market, by Country
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
3.3 Porter Five Forces Analysis
Chapter 4. LAMEA Prompt Engineering Market by Component
4.1 LAMEA Software Market by Country
4.2 LAMEA Services Market by Country
4.3 LAMEA Prompt Engineering Market by Services Type
4.3.1 LAMEA Prompt Engineering Services Market by Country
4.3.2 LAMEA Prompt Engineering Training Market by Country
Chapter 5. LAMEA Prompt Engineering Market by Application
5.1 LAMEA Content Generation Market by Country
5.2 LAMEA Conversational AI Market by Country
5.3 LAMEA Recommendation Systems Market by Country
5.4 LAMEA Software Development Market by Country
5.5 LAMEA Other Application Market by Country
Chapter 6. LAMEA Prompt Engineering Market by Technique
6.1 LAMEA n-Shot Prompting Market by Country
6.2 LAMEA Chain-of-Thought Prompting Market by Country
6.3 LAMEA Generated Knowledge Prompting Market by Country
6.4 LAMEA Other Technique Market by Country
Chapter 7. LAMEA Prompt Engineering Market by Industry
7.1 LAMEA BFSI Market by Country
7.2 LAMEA Media & Entertainment Market by Country
7.3 LAMEA Healthcare Market by Country
7.4 LAMEA Retail Market by Country
7.5 LAMEA IT & Telecommunication Market by Country
7.6 LAMEA Automotive & Transportation Market by Country
7.7 LAMEA Other Industry Market by Country
Chapter 8. LAMEA Prompt Engineering Market by Country
8.1 Brazil Prompt Engineering Market
8.1.1 Brazil Prompt Engineering Market by Component
8.1.1.1 Brazil Prompt Engineering Market by Services Type
8.1.2 Brazil Prompt Engineering Market by Application
8.1.3 Brazil Prompt Engineering Market by Technique
8.1.4 Brazil Prompt Engineering Market by Industry
8.2 Argentina Prompt Engineering Market
8.2.1 Argentina Prompt Engineering Market by Component
8.2.1.1 Argentina Prompt Engineering Market by Services Type
8.2.2 Argentina Prompt Engineering Market by Application
8.2.3 Argentina Prompt Engineering Market by Technique
8.2.4 Argentina Prompt Engineering Market by Industry
8.3 UAE Prompt Engineering Market
8.3.1 UAE Prompt Engineering Market by Component
8.3.1.1 UAE Prompt Engineering Market by Services Type
8.3.2 UAE Prompt Engineering Market by Application
8.3.3 UAE Prompt Engineering Market by Technique
8.3.4 UAE Prompt Engineering Market by Industry
8.4 Saudi Arabia Prompt Engineering Market
8.4.1 Saudi Arabia Prompt Engineering Market by Component
8.4.1.1 Saudi Arabia Prompt Engineering Market by Services Type
8.4.2 Saudi Arabia Prompt Engineering Market by Application
8.4.3 Saudi Arabia Prompt Engineering Market by Technique
8.4.4 Saudi Arabia Prompt Engineering Market by Industry
8.5 South Africa Prompt Engineering Market
8.5.1 South Africa Prompt Engineering Market by Component
8.5.1.1 South Africa Prompt Engineering Market by Services Type
8.5.2 South Africa Prompt Engineering Market by Application
8.5.3 South Africa Prompt Engineering Market by Technique
8.5.4 South Africa Prompt Engineering Market by Industry
8.6 Nigeria Prompt Engineering Market
8.6.1 Nigeria Prompt Engineering Market by Component
8.6.1.1 Nigeria Prompt Engineering Market by Services Type
8.6.2 Nigeria Prompt Engineering Market by Application
8.6.3 Nigeria Prompt Engineering Market by Technique
8.6.4 Nigeria Prompt Engineering Market by Industry
8.7 Rest of LAMEA Prompt Engineering Market
8.7.1 Rest of LAMEA Prompt Engineering Market by Component
8.7.1.1 Rest of LAMEA Prompt Engineering Market by Services Type
8.7.2 Rest of LAMEA Prompt Engineering Market by Application
8.7.3 Rest of LAMEA Prompt Engineering Market by Technique
8.7.4 Rest of LAMEA Prompt Engineering Market by Industry
Chapter 9. Company Profiles
9.1 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 SWOT Analysis
9.2 Salesforce, Inc.
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Regional Analysis
9.2.4 Research & Development Expenses
9.2.5 Recent Strategies and Developments
9.2.5.1 Product Launches and Product Expansions
9.2.6 SWOT Analysis
9.3 OpenAI, L.L.C.
9.3.1 Company Overview
9.3.2 SWOT Analysis
9.4 A3Logics
9.4.1 Company Overview
9.5 Curved Stone Limited
9.5.1 Company Overview
9.6 Promptmetheus
9.6.1 Company Overview
9.7 Hugging Face, Inc.
9.7.1 Company Overview
9.8 Vellum, Inc.
9.8.1 Company Overview
9.9 AIPRM Corp.
9.9.1 Company Overview
9.10. Promptitude
9.10.1 Company Overview

Companies Mentioned

  • 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

Methodology

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