Generative AI Value Distribution by Industry

Source Research:

Generative AI Business Outcomes: Identifying Enterprise Commercial Opportunities

Research Report | 29 Jun 2023 | AN-5861
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The pie chart above shows the distribution of generative AI value across industries in 2023. Below is a breakdown of this distribution that ABI Research has provided through market research and the potential applications/use cases of generative AI in various industries. 

 

Marketing, Advertising & Creative: 46.15%

Applications

  • Create digital artwork
  • Develop new marketing content
  • Integrate design tools into creative software
  • 2D to 3D image transformation
  • Copywriting 

 

Energy, Utilities, and Mining: 16.78%

Applications

  • Generate new routing and scheduling strategies to lower energy transportation costs
  • Automate pricing based on market trends and historical data
  • Identify potential hazards within the mining process
  • Demand forecasting, energy output forecasting
  • Grid management and optimization

 

Financial Services: 15.38%

Applications

  • Stock market trend analysis
  • Internal database management
  • Bank account fraud protection through anomaly detection & threat intelligence
  • Drafting client contracts
  • Customer-facing sales
     

Retail & E-commerce: 8.69%

Applications 

  • Develop visual search tools to support customer accessibility
  • Build customer chatbots and intelligent assistants
  • Personalization of product recommendations
  • Product content generation (i.e., description, summaries, product images)
  • Automated website development.

 

Entertainment & Multimedia: 6.99%

Applications

  • Leverage sound-to-text generation to automate subtitles
  • Design new games/entertainment products
  • Develop content for TV shows/films
  • Bridge sound gaps in videos
  • Develop an immersive gaming experience time efficiently and add greater depth to games through increasingly human-like responses

 

Others: 5.99%

Applications

  • Law - intelligent assistant; contract generation; fraud protection
  • Manufacturing - report automation; supply chain optimization; predictive maintenance 
  • Automotive - code generation/development; augment design process; add multi-modal capabilities to vehicle
  • Education - course/class content generation; personalized education/training; intelligent classroom assistant
  • Healthcare - diagnostic support; augment healthcare worker functions; patient health predictions
  • Telecommunications - customer service chatbot; develop new value-add services; predictive network maintenance 
  • Pharmaceuticals - accelerated drug discovery and design; clinical trial optimization 

 

To learn more about the distribution of generative AI value creation across various industries, be sure to get the report.