The Asia Pacific Prompt Engineering Market is expected to witness market growth of 35.8% CAGR during the forecast period (2024-2031).
The China market dominated the Asia Pacific 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 $205.5 million by 2031. The Japan market is experiencing a CAGR of 35% during 2024-2031. Additionally, the India market is expected to exhibit a CAGR of 36.7% during 2024-2031.
Search engines and other information retrieval systems also benefit from prompt engineering. By refining how AI models interpret search queries, organizations can improve the relevance of search results and deliver more targeted information to users. In the healthcare industry, prompt engineering is used in applications such as diagnostic AI systems, patient data analysis, and the generation of medical reports. By optimizing prompts, healthcare providers can ensure AI systems accurately interpret patient information and assist in clinical decision-making.
The adoption of prompt engineering has seen an upward trajectory, primarily due to the rapid advancements in AI and ML technologies. As AI tools and platforms become more mainstream, businesses across various sectors are increasingly prompt engineering to harness the full potential of these technologies. Companies are investing in AI solutions that require prompt optimization to ensure that the models produce relevant, accurate, and contextually appropriate outputs.
India’s AI sector is projected to grow by over 40% between 2020 and 2025, reaching an estimated $8 billion in value. India’s booming IT industry largely fuels this rapid expansion, increased government AI initiatives, and rising AI adoption across e-commerce, customer service, and automation sectors. With generative AI tools playing an increasing role in business operations, organizations require robust, prompt engineering techniques to fine-tune AI-generated content, optimize automated workflows, and enhance AI-driven decision-making. Hence, the combined effect of Australia’s and India’s AI growth accelerates the demand for prompt engineering expertise.
The China market dominated the Asia Pacific 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 $205.5 million by 2031. The Japan market is experiencing a CAGR of 35% during 2024-2031. Additionally, the India market is expected to exhibit a CAGR of 36.7% during 2024-2031.
Search engines and other information retrieval systems also benefit from prompt engineering. By refining how AI models interpret search queries, organizations can improve the relevance of search results and deliver more targeted information to users. In the healthcare industry, prompt engineering is used in applications such as diagnostic AI systems, patient data analysis, and the generation of medical reports. By optimizing prompts, healthcare providers can ensure AI systems accurately interpret patient information and assist in clinical decision-making.
The adoption of prompt engineering has seen an upward trajectory, primarily due to the rapid advancements in AI and ML technologies. As AI tools and platforms become more mainstream, businesses across various sectors are increasingly prompt engineering to harness the full potential of these technologies. Companies are investing in AI solutions that require prompt optimization to ensure that the models produce relevant, accurate, and contextually appropriate outputs.
India’s AI sector is projected to grow by over 40% between 2020 and 2025, reaching an estimated $8 billion in value. India’s booming IT industry largely fuels this rapid expansion, increased government AI initiatives, and rising AI adoption across e-commerce, customer service, and automation sectors. With generative AI tools playing an increasing role in business operations, organizations require robust, prompt engineering techniques to fine-tune AI-generated content, optimize automated workflows, and enhance AI-driven decision-making. Hence, the combined effect of Australia’s and India’s AI growth accelerates the 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
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Asia Pacific Prompt Engineering Market by Component
Chapter 5. Asia Pacific Prompt Engineering Market by Application
Chapter 6. Asia Pacific Prompt Engineering Market by Technique
Chapter 7. Asia Pacific Prompt Engineering Market by Industry
Chapter 8. Asia Pacific Prompt Engineering Market by Country
Chapter 9. Company Profiles
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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