Brazil Generative AI Market | Analysis 2019-2032

Brazil Generative AI Market Analysis, Size, and Forecast by Component, Deployment Model, Business Function, Technique, End User: 2019-2032

Report Format:     | Pages: 110+
Type: Niche Industry Monitor | ID: AI4215  | Publication: June 2024  |  US$925  |  

Brazil Generative AI Market Snapshot

Brazil Generative AI Market


  • Projections indicate that revenue in the Brazil generative AI market will hit US$ 2.60 billion by 2024, with an expected Compound Annual Growth Rate (CAGR) of 29.97% from 2024 to 2032.
  • The Brazil generative AI industry value represented US$ 1.51 billion in 2023.
  • The primary segment, under the classification of components, is the hardware, which secure a market value of US$ 11.6 billion by 2032.
  • By 2032, the IT and Telecom end user is predicted to contribute 31.91% in the Brazil generative AI market.

Brazil Generative AI Market Outlook

Currently, Generative AI in Brazil has appeared to have moved beyond the peak of inflated expectations and is transitioning towards the trough of disillusionment in the Hype Cycle. The most valuable applications of generative AI tend to focus on solving specific problems within particular domains, enhancing human productivity rather than replacing it entirely. Entrepreneurs have prioritized building products with a clear focus and establishing a competitive advantage. This is anticipated to involve developing a strong brand, implementing robust security features, leveraging network effects, or securing proprietary intellectual property. For Brazilian start-ups, the most promising opportunities lie in application layers, capitalizing on factors such as The Home-Field Advantage (addressing local needs effectively) and Affordable Agility (developing tech solutions in Brazil at a lower cost compared to the developed countries).

Brazil Generative AI Market Trends and Developments

Brazilian companies have recognized the potential benefits of generative AI in streamlining operations, improving user experience, and staying competitive in the market. By embracing GAI technology, they position themselves as innovators and leaders in the industry, potentially gaining a competitive edge over their global counterparts. This trend also underscores the growing importance of GAI technologies especially in the financial services sector, highlighting the need for continued investment and integration of AI solutions to drive growth and efficiency. For instance,
 

  • PicPay, a leading Brazilian fintech boasting a user base of over 60 million, has integrated generative AI into its operations through a collaboration with Microsoft. Specifically, the app utilizes the Azure OpenAI Service to respond to user inquiries.
     
  • Regional Brazilian providers are surpassing numerous larger global firms in their adoption of generative AI for application development and maintenance (ADM).

Brazil Generative AI Competitive Landscape

Major companies in the generative AI space primarily offer infrastructure services through model APIs and open-source libraries, contributing significantly to the industry's foundational development. Emerging startups making notable strides in this field include:

  • Cohere, Hugging Face, Scale, Midjourney, Stability AI, Anthropic, Character AI, Jasper AI, Glean, and Adept.

Brazil Generative AI Industry Coverage

Analysis Period

2019 – 2032

Actual Data

2019 – 2023

Base Year

2023

Estimated Year

2024

CAGR Period

2024 – 2032

Research Scope

Component

  • Hardware
  • Software
  • Service

Deployment Model

  • On-premise Solutions
  • Cloud-based Solutions
  • Hybrid Solutions

Business Function

  • Marketing and sales
  • Customer operations
  • Product R&D
  • Software engineering
  • Supply chain and operations
  • Risk and legal
  • Strategy and finance
  • Corporate IT
  • Talent and organization

Technique

  • Generative Modelling Techniques
  • Text-Based Techniques
  • Code-Based Techniques

End User

  • IT and Telecom
  • Media and Entertainment
  • Energy and Power
  • Transportation and Logistics
  • Healthcare
  • BFSI
  • Retail
  • Manufacturing
  • Public Sector
  • Other
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