South Africa Generative AI Market | Analysis 2019-2032

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

Avalibale Format*:   Pivot  |  ReportID: AI4213  |  Coverage: COUNTRY | Type: DataBook
Category: Information Technology  |  Sub-Category: Artificial Intelligence
Published Date: March 2024   |  US$290  |

South Africa Generative AI Market Snapshot

South Africa Generative AI Market


  • The South Africa generative AI market is poised to achieve US$ 975.3 million in revenue by 2024, driven by an anticipated Compound Annual Growth Rate (CAGR) of 26.21% from 2024 to 2032.
  • Industry analysts predict that in South Africa, the primary segment by components, is set to be hardware, boasting a market value of US$ 3,708.8 million by 2032.
  • When considering end users, it's projected that 21.36% of the total market size in the South African generative AI market will be attributed to IT and Telecom end user by 2032.
  • Industry specialists anticipate that throughout the forecast period, the IT and Telecom sector will undergo the most rapid expansion in terms of revenue generation, with a 27.29% Compound Annual Growth Rate (CAGR).

South Africa Generative AI Market Outlook

As a subset of machine learning, Generative AI can create original text, images, and audio. In recent years, accessibility to AI tools and platforms has increased, reducing the barriers to entry. Cloud providers offer access to necessary resources without requiring vast datasets or powerful computers. Additionally, technical expertise is no longer a prerequisite, as both tech-savvy individuals and non-experts can utilize pre-trained models effectively. Generative AI offers the capability to produce tailored and data-driven content, presenting a solution to various societal challenges in South Africa, particularly in financial institutions, healthcare, education, and agriculture.

South Africa Generative AI Market Trends and Developments

South African banks have demonstrated resilience, achieving robust interim results despite facing challenges like heightened geopolitical tensions, recurring electricity disruptions, and escalating inflation. Their strategic focus remains on three key areas: cost containment to improve cost-to-income ratios, enhancing customer experience for increased acquisition and retention, and accelerating digitization efforts, leading to notable growth in digital transactions and active digital customers across all banks. Generative AI emerges as a ground-breaking technology poised to transform the banking industry. By analysing extensive data sets and generating new insights, generative AI is empowering banks to optimize operations and enhance customer service. The healthcare sector in South Africa generative AI market is witnessing significant hurdles, including limited access to care and medications, variable service quality, insufficient funding, and staff shortages. For example, South Africa had only 0.8 doctors per 1,000 people in 2019, comparatively which was lower than countries such as Brazil and China. AI can mitigate these challenges by serving as an assistant, transcribing and summarizing consultations, and maintaining up-to-date patient records automatically. This automation reduces healthcare professionals' administrative burden, allowing them to allocate more time to patient care.

AI presents a new array of opportunities but also introduces corresponding risks, some of which are well-documented and challenging to address. As AI continues to evolve, new and unforeseen risks is expected to arise over the time. Therefore, ongoing risk assessment and monitoring are essential as the technology advances. To enable the scalable and cost-effective adoption of AI in South Africa and unlock its complete potential, it is imperative to establish several crucial components. For example, the implementation of appropriate laws and regulations is paramount. A robust legal and regulatory framework is necessary to establish standards, ethical boundaries, and priorities for AI development. This framework should support the growth of AI adoption while mitigating associated risks. Collaboration between a technical working group comprising industry experts and government agencies is crucial for the continuous review and refinement of existing and proposed regulations, ensuring an optimal and accountable environment for all stakeholders.

 

  • In March 2024, Liquid C2, a division of Cassava Technologies, an African tech group, has partnered with Google Cloud and Anthropic to provide cutting-edge cloud and cybersecurity solutions, along with generative AI capabilities, to businesses in Africa. Moreover, this partnership empowers Liquid C2 to offer the combined capabilities of Google Cloud and Anthropic's AI models to its clients through the Google Cloud Vertex AI platform, facilitating swift development and deployment of solutions in their cloud setups.

South Africa Generative AI Competitive Landscape

The prominent international players establishing and solidifying their presence in South Africa generative AI market includes OpenAI, Google, Virtual Reality South Africa, Liquid C2, Deep Vision, DataProphet, AIgen, Clevva, Cortex Logic, and others. To further expand their market presence, these companies employ strategies such as mergers, acquisitions, partnerships, joint ventures, licensing agreements, and the introduction of new products.

South Africa 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
For Enquiry