Global Prompt Engineering Market

Prompt Engineering Comprehensive Study by Application (Content Generation, Conversational AI, Recommendation Systems, Software Development, Others), Industry Vertical (Healthcare, BFSI, Media & Entertainment, Retail, IT & Telecommunication, Others), Methods (N-Shot Prompting, Chain-of-Thought Prompting, Iterative Prompting, Negative Prompting, Hybrid Prompting, Prompt Chaining) Players and Region - Global Market Outlook to 2030

Prompt Engineering Market by XX Submarkets | Forecast Years 2024-2030  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global Prompt Engineering Market Overview:
Prompt engineering is the process of structuring instructions that can be interpreted and understood using a generative AI model. Emerging market of prompt engineering deals with the elaboration of strategies and practices to create and tune appropriate promps that shape the generative AI solutions, including GPT-4. Applications are in advancing text generation through AI, text understanding tasks which AI employs, and human computer interfaces. Uses include in customer relations, education, writing, and data crunching. Developments occurring in this market include the enhancement of the level of complexity of the design of the prompts, their implementation as critical components of the AI training process, and the emergence of tools and platforms focused on the improvement of the prompts. The growth of the market is caused by the demand for the higher relevance of the AI answers and the increase in the use of the generative AI in different spheres.

AttributesDetails
Study Period2018-2030
Base Year2023
Forecast Period2024-2030
Historical Period2018-2023
UnitValue (USD Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Influencing Trend:
Growing Popularity of Cloud-based Platforms and Integration of Prompt Engineering in Cloud Computing

Market Growth Drivers:
Increased Adoption of Generative AI Across Various Industries and Collaboration Between Humans And AI Systems to Improve Prompt Quality

Challenges:
Lack of Skilled Professionals

Restraints:
Complexity of Prompt Optimization Techniques and Data Privacy & Security Concerns

Opportunities:
Demand of Personalized Content and Marketing Materials that are Tailored to Specific Audiences

Competitive Landscape:
The key players are targeting the innovations of the Solutions with better quality, better technical characteristics. The key players are probable to keep a stronghold on the market over the anticipated period. The key players are accepting strategic decisions and are thinking upon mergers and acquisitions in order to maintain their presence in the market.
Some of the key players profiled in the report are Salesforce, Inc. (United States), AIPRM (United States), A3Logics (India), Promptmetheus (Portugal), Amazon Web Services, Inc. (United States), Vocify Inc. (United States), Prompt Genie (South Korea), Curved Stone Limited. (United Kingdom), PromptLeo (Germany) and Google LLC (United States). Analyst at AMA Research see United States Players to retain maximum share of Global Prompt Engineering market by 2030. Considering Market by Industry Vertical, the sub-segment i.e. Healthcare will boost the Prompt Engineering market. Considering Market by Methods, the sub-segment i.e. N-Shot Prompting will boost the Prompt Engineering market.

What Can be Explored with the Prompt Engineering Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Prompt Engineering Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Prompt Engineering
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Prompt Engineering market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Prompt Engineering market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes New Entrants/Investors, Analysts and Strategic Business Planners, Prompt Engineering Solution Providers, Venture Capitalists and Private Equity Firms, Software Development Companies, End Users and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Application
  • Content Generation
  • Conversational AI
  • Recommendation Systems
  • Software Development
  • Others
By Industry Vertical
  • Healthcare
  • BFSI
  • Media & Entertainment
  • Retail
  • IT & Telecommunication
  • Others

By Methods
  • N-Shot Prompting
  • Chain-of-Thought Prompting
  • Iterative Prompting
  • Negative Prompting
  • Hybrid Prompting
  • Prompt Chaining

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • Spain
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increased Adoption of Generative AI Across Various Industries
      • 3.2.2. Collaboration Between Humans And AI Systems to Improve Prompt Quality
    • 3.3. Market Challenges
      • 3.3.1. Lack of Skilled Professionals
    • 3.4. Market Trends
      • 3.4.1. Growing Popularity of Cloud-based Platforms and Integration of Prompt Engineering in Cloud Computing
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Prompt Engineering, by Application, Industry Vertical, Methods and Region (value) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Prompt Engineering (Value)
      • 5.2.1. Global Prompt Engineering by: Application (Value)
        • 5.2.1.1. Content Generation
        • 5.2.1.2. Conversational AI
        • 5.2.1.3. Recommendation Systems
        • 5.2.1.4. Software Development
        • 5.2.1.5. Others
      • 5.2.2. Global Prompt Engineering by: Industry Vertical (Value)
        • 5.2.2.1. Healthcare
        • 5.2.2.2. BFSI
        • 5.2.2.3. Media & Entertainment
        • 5.2.2.4. Retail
        • 5.2.2.5. IT & Telecommunication
        • 5.2.2.6. Others
      • 5.2.3. Global Prompt Engineering by: Methods (Value)
        • 5.2.3.1. N-Shot Prompting
        • 5.2.3.2. Chain-of-Thought Prompting
        • 5.2.3.3. Iterative Prompting
        • 5.2.3.4. Negative Prompting
        • 5.2.3.5. Hybrid Prompting
        • 5.2.3.6. Prompt Chaining
      • 5.2.4. Global Prompt Engineering Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. Spain
          • 5.2.4.3.5. United Kingdom
          • 5.2.4.3.6. Netherlands
          • 5.2.4.3.7. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Prompt Engineering: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Salesforce, Inc. (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. AIPRM (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. A3Logics (India)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Promptmetheus (Portugal)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Amazon Web Services, Inc. (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Vocify Inc. (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Prompt Genie (South Korea)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Curved Stone Limited. (United Kingdom)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. PromptLeo (Germany)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Google LLC (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Prompt Engineering Sale, by Application, Industry Vertical, Methods and Region (value) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Prompt Engineering (Value)
      • 7.2.1. Global Prompt Engineering by: Application (Value)
        • 7.2.1.1. Content Generation
        • 7.2.1.2. Conversational AI
        • 7.2.1.3. Recommendation Systems
        • 7.2.1.4. Software Development
        • 7.2.1.5. Others
      • 7.2.2. Global Prompt Engineering by: Industry Vertical (Value)
        • 7.2.2.1. Healthcare
        • 7.2.2.2. BFSI
        • 7.2.2.3. Media & Entertainment
        • 7.2.2.4. Retail
        • 7.2.2.5. IT & Telecommunication
        • 7.2.2.6. Others
      • 7.2.3. Global Prompt Engineering by: Methods (Value)
        • 7.2.3.1. N-Shot Prompting
        • 7.2.3.2. Chain-of-Thought Prompting
        • 7.2.3.3. Iterative Prompting
        • 7.2.3.4. Negative Prompting
        • 7.2.3.5. Hybrid Prompting
        • 7.2.3.6. Prompt Chaining
      • 7.2.4. Global Prompt Engineering Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. Spain
          • 7.2.4.3.5. United Kingdom
          • 7.2.4.3.6. Netherlands
          • 7.2.4.3.7. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Prompt Engineering: by Application(USD Million)
  • Table 2. Prompt Engineering Content Generation , by Region USD Million (2018-2023)
  • Table 3. Prompt Engineering Conversational AI , by Region USD Million (2018-2023)
  • Table 4. Prompt Engineering Recommendation Systems , by Region USD Million (2018-2023)
  • Table 5. Prompt Engineering Software Development , by Region USD Million (2018-2023)
  • Table 6. Prompt Engineering Others , by Region USD Million (2018-2023)
  • Table 7. Prompt Engineering: by Industry Vertical(USD Million)
  • Table 8. Prompt Engineering Healthcare , by Region USD Million (2018-2023)
  • Table 9. Prompt Engineering BFSI , by Region USD Million (2018-2023)
  • Table 10. Prompt Engineering Media & Entertainment , by Region USD Million (2018-2023)
  • Table 11. Prompt Engineering Retail , by Region USD Million (2018-2023)
  • Table 12. Prompt Engineering IT & Telecommunication , by Region USD Million (2018-2023)
  • Table 13. Prompt Engineering Others , by Region USD Million (2018-2023)
  • Table 14. Prompt Engineering: by Methods(USD Million)
  • Table 15. Prompt Engineering N-Shot Prompting , by Region USD Million (2018-2023)
  • Table 16. Prompt Engineering Chain-of-Thought Prompting , by Region USD Million (2018-2023)
  • Table 17. Prompt Engineering Iterative Prompting , by Region USD Million (2018-2023)
  • Table 18. Prompt Engineering Negative Prompting , by Region USD Million (2018-2023)
  • Table 19. Prompt Engineering Hybrid Prompting , by Region USD Million (2018-2023)
  • Table 20. Prompt Engineering Prompt Chaining , by Region USD Million (2018-2023)
  • Table 21. South America Prompt Engineering, by Country USD Million (2018-2023)
  • Table 22. South America Prompt Engineering, by Application USD Million (2018-2023)
  • Table 23. South America Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 24. South America Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 25. Brazil Prompt Engineering, by Application USD Million (2018-2023)
  • Table 26. Brazil Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 27. Brazil Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 28. Argentina Prompt Engineering, by Application USD Million (2018-2023)
  • Table 29. Argentina Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 30. Argentina Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 31. Rest of South America Prompt Engineering, by Application USD Million (2018-2023)
  • Table 32. Rest of South America Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 33. Rest of South America Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 34. Asia Pacific Prompt Engineering, by Country USD Million (2018-2023)
  • Table 35. Asia Pacific Prompt Engineering, by Application USD Million (2018-2023)
  • Table 36. Asia Pacific Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 37. Asia Pacific Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 38. China Prompt Engineering, by Application USD Million (2018-2023)
  • Table 39. China Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 40. China Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 41. Japan Prompt Engineering, by Application USD Million (2018-2023)
  • Table 42. Japan Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 43. Japan Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 44. India Prompt Engineering, by Application USD Million (2018-2023)
  • Table 45. India Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 46. India Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 47. South Korea Prompt Engineering, by Application USD Million (2018-2023)
  • Table 48. South Korea Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 49. South Korea Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 50. Taiwan Prompt Engineering, by Application USD Million (2018-2023)
  • Table 51. Taiwan Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 52. Taiwan Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 53. Australia Prompt Engineering, by Application USD Million (2018-2023)
  • Table 54. Australia Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 55. Australia Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 56. Rest of Asia-Pacific Prompt Engineering, by Application USD Million (2018-2023)
  • Table 57. Rest of Asia-Pacific Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 58. Rest of Asia-Pacific Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 59. Europe Prompt Engineering, by Country USD Million (2018-2023)
  • Table 60. Europe Prompt Engineering, by Application USD Million (2018-2023)
  • Table 61. Europe Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 62. Europe Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 63. Germany Prompt Engineering, by Application USD Million (2018-2023)
  • Table 64. Germany Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 65. Germany Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 66. France Prompt Engineering, by Application USD Million (2018-2023)
  • Table 67. France Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 68. France Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 69. Italy Prompt Engineering, by Application USD Million (2018-2023)
  • Table 70. Italy Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 71. Italy Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 72. Spain Prompt Engineering, by Application USD Million (2018-2023)
  • Table 73. Spain Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 74. Spain Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 75. United Kingdom Prompt Engineering, by Application USD Million (2018-2023)
  • Table 76. United Kingdom Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 77. United Kingdom Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 78. Netherlands Prompt Engineering, by Application USD Million (2018-2023)
  • Table 79. Netherlands Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 80. Netherlands Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 81. Rest of Europe Prompt Engineering, by Application USD Million (2018-2023)
  • Table 82. Rest of Europe Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 83. Rest of Europe Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 84. MEA Prompt Engineering, by Country USD Million (2018-2023)
  • Table 85. MEA Prompt Engineering, by Application USD Million (2018-2023)
  • Table 86. MEA Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 87. MEA Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 88. Middle East Prompt Engineering, by Application USD Million (2018-2023)
  • Table 89. Middle East Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 90. Middle East Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 91. Africa Prompt Engineering, by Application USD Million (2018-2023)
  • Table 92. Africa Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 93. Africa Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 94. North America Prompt Engineering, by Country USD Million (2018-2023)
  • Table 95. North America Prompt Engineering, by Application USD Million (2018-2023)
  • Table 96. North America Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 97. North America Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 98. United States Prompt Engineering, by Application USD Million (2018-2023)
  • Table 99. United States Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 100. United States Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 101. Canada Prompt Engineering, by Application USD Million (2018-2023)
  • Table 102. Canada Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 103. Canada Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 104. Mexico Prompt Engineering, by Application USD Million (2018-2023)
  • Table 105. Mexico Prompt Engineering, by Industry Vertical USD Million (2018-2023)
  • Table 106. Mexico Prompt Engineering, by Methods USD Million (2018-2023)
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Company Basic Information, Sales Area and Its Competitors
  • Table 114. Company Basic Information, Sales Area and Its Competitors
  • Table 115. Company Basic Information, Sales Area and Its Competitors
  • Table 116. Company Basic Information, Sales Area and Its Competitors
  • Table 117. Prompt Engineering: by Application(USD Million)
  • Table 118. Prompt Engineering Content Generation , by Region USD Million (2025-2030)
  • Table 119. Prompt Engineering Conversational AI , by Region USD Million (2025-2030)
  • Table 120. Prompt Engineering Recommendation Systems , by Region USD Million (2025-2030)
  • Table 121. Prompt Engineering Software Development , by Region USD Million (2025-2030)
  • Table 122. Prompt Engineering Others , by Region USD Million (2025-2030)
  • Table 123. Prompt Engineering: by Industry Vertical(USD Million)
  • Table 124. Prompt Engineering Healthcare , by Region USD Million (2025-2030)
  • Table 125. Prompt Engineering BFSI , by Region USD Million (2025-2030)
  • Table 126. Prompt Engineering Media & Entertainment , by Region USD Million (2025-2030)
  • Table 127. Prompt Engineering Retail , by Region USD Million (2025-2030)
  • Table 128. Prompt Engineering IT & Telecommunication , by Region USD Million (2025-2030)
  • Table 129. Prompt Engineering Others , by Region USD Million (2025-2030)
  • Table 130. Prompt Engineering: by Methods(USD Million)
  • Table 131. Prompt Engineering N-Shot Prompting , by Region USD Million (2025-2030)
  • Table 132. Prompt Engineering Chain-of-Thought Prompting , by Region USD Million (2025-2030)
  • Table 133. Prompt Engineering Iterative Prompting , by Region USD Million (2025-2030)
  • Table 134. Prompt Engineering Negative Prompting , by Region USD Million (2025-2030)
  • Table 135. Prompt Engineering Hybrid Prompting , by Region USD Million (2025-2030)
  • Table 136. Prompt Engineering Prompt Chaining , by Region USD Million (2025-2030)
  • Table 137. South America Prompt Engineering, by Country USD Million (2025-2030)
  • Table 138. South America Prompt Engineering, by Application USD Million (2025-2030)
  • Table 139. South America Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 140. South America Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 141. Brazil Prompt Engineering, by Application USD Million (2025-2030)
  • Table 142. Brazil Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 143. Brazil Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 144. Argentina Prompt Engineering, by Application USD Million (2025-2030)
  • Table 145. Argentina Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 146. Argentina Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 147. Rest of South America Prompt Engineering, by Application USD Million (2025-2030)
  • Table 148. Rest of South America Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 149. Rest of South America Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 150. Asia Pacific Prompt Engineering, by Country USD Million (2025-2030)
  • Table 151. Asia Pacific Prompt Engineering, by Application USD Million (2025-2030)
  • Table 152. Asia Pacific Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 153. Asia Pacific Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 154. China Prompt Engineering, by Application USD Million (2025-2030)
  • Table 155. China Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 156. China Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 157. Japan Prompt Engineering, by Application USD Million (2025-2030)
  • Table 158. Japan Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 159. Japan Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 160. India Prompt Engineering, by Application USD Million (2025-2030)
  • Table 161. India Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 162. India Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 163. South Korea Prompt Engineering, by Application USD Million (2025-2030)
  • Table 164. South Korea Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 165. South Korea Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 166. Taiwan Prompt Engineering, by Application USD Million (2025-2030)
  • Table 167. Taiwan Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 168. Taiwan Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 169. Australia Prompt Engineering, by Application USD Million (2025-2030)
  • Table 170. Australia Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 171. Australia Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 172. Rest of Asia-Pacific Prompt Engineering, by Application USD Million (2025-2030)
  • Table 173. Rest of Asia-Pacific Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 174. Rest of Asia-Pacific Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 175. Europe Prompt Engineering, by Country USD Million (2025-2030)
  • Table 176. Europe Prompt Engineering, by Application USD Million (2025-2030)
  • Table 177. Europe Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 178. Europe Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 179. Germany Prompt Engineering, by Application USD Million (2025-2030)
  • Table 180. Germany Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 181. Germany Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 182. France Prompt Engineering, by Application USD Million (2025-2030)
  • Table 183. France Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 184. France Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 185. Italy Prompt Engineering, by Application USD Million (2025-2030)
  • Table 186. Italy Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 187. Italy Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 188. Spain Prompt Engineering, by Application USD Million (2025-2030)
  • Table 189. Spain Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 190. Spain Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 191. United Kingdom Prompt Engineering, by Application USD Million (2025-2030)
  • Table 192. United Kingdom Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 193. United Kingdom Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 194. Netherlands Prompt Engineering, by Application USD Million (2025-2030)
  • Table 195. Netherlands Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 196. Netherlands Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 197. Rest of Europe Prompt Engineering, by Application USD Million (2025-2030)
  • Table 198. Rest of Europe Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 199. Rest of Europe Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 200. MEA Prompt Engineering, by Country USD Million (2025-2030)
  • Table 201. MEA Prompt Engineering, by Application USD Million (2025-2030)
  • Table 202. MEA Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 203. MEA Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 204. Middle East Prompt Engineering, by Application USD Million (2025-2030)
  • Table 205. Middle East Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 206. Middle East Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 207. Africa Prompt Engineering, by Application USD Million (2025-2030)
  • Table 208. Africa Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 209. Africa Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 210. North America Prompt Engineering, by Country USD Million (2025-2030)
  • Table 211. North America Prompt Engineering, by Application USD Million (2025-2030)
  • Table 212. North America Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 213. North America Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 214. United States Prompt Engineering, by Application USD Million (2025-2030)
  • Table 215. United States Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 216. United States Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 217. Canada Prompt Engineering, by Application USD Million (2025-2030)
  • Table 218. Canada Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 219. Canada Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 220. Mexico Prompt Engineering, by Application USD Million (2025-2030)
  • Table 221. Mexico Prompt Engineering, by Industry Vertical USD Million (2025-2030)
  • Table 222. Mexico Prompt Engineering, by Methods USD Million (2025-2030)
  • Table 223. Research Programs/Design for This Report
  • Table 224. Key Data Information from Secondary Sources
  • Table 225. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Prompt Engineering: by Application USD Million (2018-2023)
  • Figure 5. Global Prompt Engineering: by Industry Vertical USD Million (2018-2023)
  • Figure 6. Global Prompt Engineering: by Methods USD Million (2018-2023)
  • Figure 7. South America Prompt Engineering Share (%), by Country
  • Figure 8. Asia Pacific Prompt Engineering Share (%), by Country
  • Figure 9. Europe Prompt Engineering Share (%), by Country
  • Figure 10. MEA Prompt Engineering Share (%), by Country
  • Figure 11. North America Prompt Engineering Share (%), by Country
  • Figure 12. Global Prompt Engineering share by Players 2023 (%)
  • Figure 13. Global Prompt Engineering share by Players (Top 3) 2023(%)
  • Figure 14. Global Prompt Engineering share by Players (Top 5) 2023(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Salesforce, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 17. Salesforce, Inc. (United States) Revenue: by Geography 2023
  • Figure 18. AIPRM (United States) Revenue, Net Income and Gross profit
  • Figure 19. AIPRM (United States) Revenue: by Geography 2023
  • Figure 20. A3Logics (India) Revenue, Net Income and Gross profit
  • Figure 21. A3Logics (India) Revenue: by Geography 2023
  • Figure 22. Promptmetheus (Portugal) Revenue, Net Income and Gross profit
  • Figure 23. Promptmetheus (Portugal) Revenue: by Geography 2023
  • Figure 24. Amazon Web Services, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 25. Amazon Web Services, Inc. (United States) Revenue: by Geography 2023
  • Figure 26. Vocify Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 27. Vocify Inc. (United States) Revenue: by Geography 2023
  • Figure 28. Prompt Genie (South Korea) Revenue, Net Income and Gross profit
  • Figure 29. Prompt Genie (South Korea) Revenue: by Geography 2023
  • Figure 30. Curved Stone Limited. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 31. Curved Stone Limited. (United Kingdom) Revenue: by Geography 2023
  • Figure 32. PromptLeo (Germany) Revenue, Net Income and Gross profit
  • Figure 33. PromptLeo (Germany) Revenue: by Geography 2023
  • Figure 34. Google LLC (United States) Revenue, Net Income and Gross profit
  • Figure 35. Google LLC (United States) Revenue: by Geography 2023
  • Figure 36. Global Prompt Engineering: by Application USD Million (2025-2030)
  • Figure 37. Global Prompt Engineering: by Industry Vertical USD Million (2025-2030)
  • Figure 38. Global Prompt Engineering: by Methods USD Million (2025-2030)
  • Figure 39. South America Prompt Engineering Share (%), by Country
  • Figure 40. Asia Pacific Prompt Engineering Share (%), by Country
  • Figure 41. Europe Prompt Engineering Share (%), by Country
  • Figure 42. MEA Prompt Engineering Share (%), by Country
  • Figure 43. North America Prompt Engineering Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Salesforce, Inc. (United States)
  • AIPRM (United States)
  • A3Logics (India)
  • Promptmetheus (Portugal)
  • Amazon Web Services, Inc. (United States)
  • Vocify Inc. (United States)
  • Prompt Genie (South Korea)
  • Curved Stone Limited. (United Kingdom)
  • PromptLeo (Germany)
  • Google LLC (United States)
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Key Highlights of Report


Jul 2024 204 Pages 85 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Prompt Engineering Market Quantitative research analysis
Global Prompt Engineering Market Qualitative Industry Analysis
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Top performing companies in the Global Prompt Engineering market are Salesforce, Inc. (United States), AIPRM (United States), A3Logics (India), Promptmetheus (Portugal), Amazon Web Services, Inc. (United States), Vocify Inc. (United States), Prompt Genie (South Korea), Curved Stone Limited. (United Kingdom), PromptLeo (Germany) and Google LLC (United States), to name a few.
"Growing Popularity of Cloud-based Platforms and Integration of Prompt Engineering in Cloud Computing" is seen as one of major influencing trends for Prompt Engineering Market during projected period 2023-2030.

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