APAC SUBMISSION
AI MARKETING
ECOSYSTEM LANDSCAPE
APAC SUBMISSION

This questionnaire is designed to collect information for creating an AI landscape of the marketing ecosystem in APAC for 2024. Your input will help us map out the current trends and future directions of AI technologies in marketing across the region.

To ensure the accuracy and usefulness of the data collected, we kindly ask you to provide precise and truthful information. Each section is designed to capture essential details that will contribute to a holistic understanding of the AI marketing landscape. Your cooperation and attention to detail are greatly appreciated.

Thank you for your valuable contribution!
Welcome to AI ECOSYSTEM

Your input will help us map out the current trends and future directions of AI technologies in marketing across the region.

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General Information

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Products and Service location

Primary countries of your products/services *

Ecosystem Role and Relationships

Which key marketing aspects and elements do you focus on? (Please select up to two areas of focus.) *
Which of the following capabilities and infrastructures are the cores of your AI technologies? (Please select up to two areas of focus.) *
  • Homepage
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  • Homepage
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• Company list • Algorithms / Technologies • Natural language processing
AI IN MARKETING
Ecosystem Landscape
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Natural language processing

Natural language processing
  • Database
  • Text generation
  • AI agent
  • Basic hardware facilities
  • Cleaning
  • Audio generation
  • Biometric recognition
  • Network and platform
  • Video generation
  • Natural language processing
  • Collection
  • Analysis
  • Image generation
  • Intelligent voice
  • Annotation
  • Computer vision
  • Multimodal Integration
  • AI large model
  • 3D
  • Machine learning
  • Digital humans
  • Knowledge graph
  • AI design
  • Computing power
  • Basic hardware facilities
  • Network and platform
  • Data
  • Database
  • Cleaning
  • Collection
  • Analysis
  • Annotation
  • Algorithms / Technologies
  • AI agent
  • Biometric recognition
  • Natural language processing
  • Intelligent voice
  • Computer vision
  • AI large model
  • Machine learning
  • Knowledge graph
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