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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1569391

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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1569391

Global Prompt Engineering Market Size Study, by Component, by Technique, by Application, by Industry, and Regional Forecasts 2022-2032

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Global Prompt Engineering Market is valued at approximately USD 222.17 million in 2023 and is anticipated to grow with a remarkable compound annual growth rate (CAGR) of 32.83% over the forecast period 2024-2032. Prompt engineering is pivotal in refining AI interactions, allowing users to design and manipulate input prompts that guide AI models, such as GPT, to generate more accurate, contextually relevant, and task-specific outputs. This precision in crafting prompts significantly enhances the performance of language models, ensuring that the generated results are coherent, relevant, and aligned with the intended objectives across diverse applications.

The Global Prompt Engineering Market is driven by burgeoning demand for advanced AI capabilities, particularly in Natural Language Processing (NLP), is one of the primary factors driving the growth of the prompt engineering market. As industries increasingly adopt AI-driven solutions for content generation, conversational AI, recommendation systems, and more, the necessity for sophisticated prompt engineering tools and services is escalating. Technological advancements in generative AI and a broadening focus on digitalization and automation across various sectors are further propelling market expansion. However, the intricate nature of designing effective prompts and the continuous need for innovation pose challenges to the market's growth.

The key regions considered for the market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North America dominated the prompt engineering market owing to robust technological ecosystem, presence of key market players such as Salesforce, Inc. and Amazon Web Services, Inc., and significant investments in AI research and development. The region's leadership in AI and machine learning innovation has cultivated a thriving environment for prompt engineering solutions. Furthermore, Asia Pacific is expected to experience the fastest growth, driven by rapid advancements in digital infrastructure, increasing investments in AI, and a burgeoning interest in prompt engineering tools and services.

Major market players included in this report are:

  • Curved Stone Limited
  • PromptBase
  • PromptHero
  • Prompt Genie
  • Vocify Inc.
  • AIPRM
  • Promptitude
  • PromptLeo
  • Salesforce, Inc.
  • A3Logics
  • Amazon Web Services, Inc.

The detailed segments and sub-segment of the market are explained below:

By Component:

  • Software
  • Services

By Technique:

  • n-Shot Prompting
  • Generated Knowledge Prompting
  • Chain-of-Thought Prompting
  • Others

By Application:

  • Content Generation
  • Conversational AI
  • Recommendation Systems
  • Software Development
  • Others

By Industry:

  • Healthcare
  • BFSI
  • Automotive & Transportation
  • Media & Entertainment
  • Retail
  • IT & Telecommunication
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • RoLA
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global Prompt Engineering Market Executive Summary

  • 1.1. Global Prompt Engineering Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Component
    • 1.3.2. By Technique
    • 1.3.3. By Application
    • 1.3.4. By Industry
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Prompt Engineering Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Prompt Engineering Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Technological Advancements in Generative AI
    • 3.1.2. Growing Adoption of AI and NLP
    • 3.1.3. Demand for Optimized AI Performance
  • 3.2. Market Challenges
    • 3.2.1. Complexity in Designing Effective Prompts
    • 3.2.2. Continuous Need for Innovation
  • 3.3. Market Opportunities
    • 3.3.1. Increasing Digitalization and Automation Across Industries
    • 3.3.2. Emerging Markets and Investment in AI Infrastructure

Chapter 4. Global Prompt Engineering Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Prompt Engineering Market Size & Forecasts by Component 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Prompt Engineering Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 5.2.1. Software
    • 5.2.2. Services

Chapter 6. Global Prompt Engineering Market Size & Forecasts by Technique 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Prompt Engineering Market: Technique Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 6.2.1. n-Shot Prompting
    • 6.2.2. Generated Knowledge Prompting
    • 6.2.3. Chain-of-Thought Prompting
    • 6.2.4. Others

Chapter 7. Global Prompt Engineering Market Size & Forecasts by Application 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Prompt Engineering Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 7.2.1. Content Generation
    • 7.2.2. Conversational AI
    • 7.2.3. Recommendation Systems
    • 7.2.4. Software Development
    • 7.2.5. Others

Chapter 8. Global Prompt Engineering Market Size & Forecasts by Industry 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Global Prompt Engineering Market: Industry Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 8.2.1. Healthcare
    • 8.2.2. BFSI
    • 8.2.3. Automotive & Transportation
    • 8.2.4. Media & Entertainment
    • 8.2.5. Retail
    • 8.2.6. IT & Telecommunication
    • 8.2.7. Others

Chapter 9. Global Prompt Engineering Market Size & Forecasts by Region 2022-2032

  • 9.1. North America Prompt Engineering Market
    • 9.1.1. U.S. Prompt Engineering Market
      • 9.1.1.1. Component breakdown size & forecasts, 2022-2032
      • 9.1.1.2. Technique breakdown size & forecasts, 2022-2032
    • 9.1.2. Canada Prompt Engineering Market
  • 9.2. Europe Prompt Engineering Market
    • 9.2.1. U.K. Prompt Engineering Market
    • 9.2.2. Germany Prompt Engineering Market
    • 9.2.3. France Prompt Engineering Market
    • 9.2.4. Spain Prompt Engineering Market
    • 9.2.5. Italy Prompt Engineering Market
    • 9.2.6. Rest of Europe Prompt Engineering Market
  • 9.3. Asia-Pacific Prompt Engineering Market
    • 9.3.1. China Prompt Engineering Market
    • 9.3.2. India Prompt Engineering Market
    • 9.3.3. Japan Prompt Engineering Market
    • 9.3.4. Australia Prompt Engineering Market
    • 9.3.5. South Korea Prompt Engineering Market
    • 9.3.6. Rest of Asia Pacific Prompt Engineering Market
  • 9.4. Latin America Prompt Engineering Market
    • 9.4.1. Brazil Prompt Engineering Market
    • 9.4.2. Mexico Prompt Engineering Market
    • 9.4.3. Rest of Latin America Prompt Engineering Market
  • 9.5. Middle East & Africa Prompt Engineering Market
    • 9.5.1. Saudi Arabia Prompt Engineering Market
    • 9.5.2. South Africa Prompt Engineering Market
    • 9.5.3. Rest of Middle East & Africa Prompt Engineering Market

Chapter 10. Competitive Intelligence

  • 10.1. Key Company SWOT Analysis
  • 10.2. Top Market Strategies
  • 10.3. Company Profiles
    • 10.3.1. Curved Stone Limited
      • 10.3.1.1. Key Information
      • 10.3.1.2. Overview
      • 10.3.1.3. Financial (Subject to Data Availability)
      • 10.3.1.4. Product Summary
      • 10.3.1.5. Market Strategies
    • 10.3.2. PromptBase
    • 10.3.3. PromptHero
    • 10.3.4. Prompt Genie
    • 10.3.5. Vocify Inc.
    • 10.3.6. AIPRM
    • 10.3.7. Promptitude
    • 10.3.8. PromptLeo
    • 10.3.9. Salesforce, Inc.
    • 10.3.10. A3Logics
    • 10.3.11. Amazon Web Services, Inc.

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes
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Christine Sirois

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+1-860-674-8796

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