Autonomous & Sensor Technology - Africa

The market size in the Autonomous & Sensor Technology market is projected to reach US$480.00m in 2024.
The market size is expected to show an annual growth rate (CAGR 2024-2030) of 13.75%, resulting in a market volume of US$1.04bn by 2030.
In global comparison, the largest market size will be United States (US$6.80bn in 2024).

Definition:
Autonomous and sensor technology refers to the combination of advanced systems and devices that enable machines and vehicles to operate and make decisions independently and without human intervention. Autonomous technology encompasses the areas of perception, decision-making, and control systems that make it possible for machines to autonomously navigate, interact, and respond to their surroundings. Sensors, on the other hand, are devices that detect and measure physical or environmental variables such as temperature, pressure, motion, and light; these variables provide crucial data inputs for autonomous systems to perceive and understand their environments. By leveraging sensor data and autonomous capabilities, these technologies enable applications such as self-driving cars, industrial automation, robotics, and smart infrastructure.

Additional Information:

The market comprises two key performance indicators: market sizes and market sizes by industry. Market sizes are generated by the funding amount of Autonomous and Sensor Technology companies. Key players of the market include companies such as Nvidia, Waymo, and Velodyne Lidar.

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Technologies that enable machines and devices to function autonomously, such as autonomous vehicles, drones, and robotics
Sensors and related hardware that gather data from the environment, such as LiDAR, radar, and cameras.

Technologies that do not involve autonomous or sensor-based functionality, such as traditional software applications or physical goods
Products and services that do not use autonomous or sensor-based technology, such as consumer electronics and home appliances.

The Autonomous & Sensor Technology Market in the Artificial Intelligence Market in Africa is experiencing considerable growth, fueled by factors such as increasing adoption of advanced technologies, growing awareness of the importance of AI in healthcare, and the convenience of online services. This market is witnessing a notable growth rate, driven by the demand for efficient and accurate healthcare solutions.

Customer preferences: The use of autonomous and sensor technology in Africa is growing, driven by the continent's need for efficient and sustainable solutions. This trend is also reflected in the Artificial Intelligence market, where there is a strong focus on leveraging these technologies for various industries. This is particularly evident in the healthcare sector, where the use of AI-powered sensors and autonomous systems is improving access to quality medical care and enabling remote monitoring of patients. Additionally, the rise of smart cities in Africa is creating demand for sensor technology to enhance public services and improve overall quality of life.

Trends in the market: In Africa, the Autonomous & Sensor Technology Market within the Artificial Intelligence Market is seeing a surge in the adoption of smart farming techniques, with sensors and AI-powered systems being used to optimize crop production and reduce labor costs. This trend is significant as it addresses the challenges faced by smallholder farmers and has the potential to increase food security and improve livelihoods. Additionally, there is a growing interest in using autonomous vehicles for transportation and delivery, which could have a major impact on the logistics industry and improve efficiency. Overall, these trends indicate a growing focus on utilizing AI and sensor technology for sustainable development and economic growth in Africa.

Local special circumstances: In Africa, the Autonomous & Sensor Technology Market within the Artificial Intelligence Market is influenced by the continent's unique socio-economic and political landscape. With a growing population and increasing urbanization, there is a high demand for smart city solutions and efficient transportation systems. However, limited infrastructure and access to electricity pose challenges to the adoption of these technologies. Additionally, cultural attitudes towards data privacy and security may impact consumer trust and adoption.

Underlying macroeconomic factors: The growth of the Autonomous & Sensor Technology Market within the Artificial Intelligence Market is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. Countries with advanced technological infrastructure and favorable policies for promoting AI are experiencing rapid market growth compared to others. Moreover, the increasing demand for automation and efficiency in various industries and the rising need for data-driven decision making are driving the demand for autonomous and sensor technology solutions.

Data coverage: The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the funding values from different industries for the market.

Modeling approach / Market size:Market sizes are determined through a top-down approach with a bottom-up validation, building on a specific rationale for each market. As a basis for evaluating markets, we use annual financial reports, funding data, and third-party data. In addition, we use relevant key market indicators and data from country-specific associations such as GDP, number of internet users, number of secure internet servers, and internet penetration. This data helps us estimate the market size for each country individually.

Forecasts:In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing are well suited to forecast digital products and services due to the non-linear growth of technology adoption. The main drivers are the level of digitalization, the number of secure internet servers, and the revenue of the Public Cloud market.

Additional Notes: The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russian-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the market is updated on an ad-hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is weighted for representativeness.

This report presents a comprehensive analysis and additional information on the Technology market, in a PDF format.

Artificial intelligence evokes images of supercomputer assistants, machines that can think creatively, and, to some, scenes from their favorite sci-fi movie. The reality, despite not being as futuristic, is not far off from this. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. The market for AI technologies is vast, amounting to around 200 billion U.S. dollars in 2023 and is expected to grow well beyond that to over 1.8 trillion U.S. dollars by 2030.

Artificial intelligence (AI), the technology that allows digital computers or computer-controlled robots to perform tasks more commonly associated with intelligent beings, has been leaping into the limelight following the release of a wide variety of Generative AI models in 2023. The United States, being the largest economy in the world, has a natural advantage. Although human-like androids such as those portrayed in the science fiction movie Blade Runner are still far from reality, applications of AI such as smartphone virtual assistants and industrial robots are already widespread in U.S. society. The industry’s powerful ability to improve efficiency and increase productivity has made it of strategic importance to U.S. industries and government, both of which push the U.S. lead in the AI race.

Autonomous & Sensor Technology - Africa

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