Skip to main content

Ambient Intelligence Market is Primed for Huge Growth

Location-based mobile software applications are evolving, opening up a whole new realm of possibilities for smartphones and other devices. Ambient intelligence, also known as deep learning, is a relatively new term in the technology lexicon.

And yet, according to the latest market study by ABI Research, it will become the major evolution in technology-based consumer services and quality of life applications over the next 10 years.

Essentially, ambient intelligence is the ability of a system to appreciate its environment, be aware of the user -- and other people or objects -- within that environment and react. Moreover, the technology is capable of interpreting and responding to the user's needs, unprompted.

"In technology terms ambient intelligence is the unification of hot new areas such as neural networks, big data, IoT, connected home, wearables, device user interfaces, and health or fitness, into services that can automate processes and make recommendations to improve the user's quality of life," said Patrick Connolly, senior analyst at ABI Research.

A major aspect in enabling this is the arrival of new location-based technologies -- such as BLE beacons, LED VLC, sensor data fusion, LTE-direct, Wi-Fi 2.0 -- that already have numerous applications.

The applications of ambient intelligence are many, and ABI believes that on the consumer side the big driver is the battle for next generation search and evolved personal assistant applications that can predict the needs of their users and make changes or recommendations to facilitate these needs.

From a software application point of view, ABI Research forecasts over 8 billion ambient intelligence related application downloads in 2020 -- primarily focused on personal assistant, social, health or fitness, augmented reality, and local search or discovery applications.

This new opportunity is attracting the major forces in the technology sphere, including Google, Apple, IBM, Microsoft and Baidu.

All these large established vendors are acquiring and hiring talent en-masse, to build out their own ambient intelligence systems. New start-ups are also starting to emerge, such as MetaMind and Clarifai.

Popular posts from this blog

AI Semiconductor Revenue will Reach $119.4B

The Chief Information Officer (CIO) and/or the Chief Technology Officer (CTO) will guide Generative AI initiatives within the large enterprise C-Suite. They may already have the technical expertise and experience to understand the capabilities and limitations of Gen AI. They also have the authority and budget to make the necessary investments in infrastructure and talent to support Gen AI initiatives. Enterprise AI infrastructure is proven to be expensive to build, operate and maintain. That's why public cloud service provider solutions are often used for new AI use cases. AI Semiconductor Market Development Semiconductors designed to execute Artificial Intelligence (AI) workloads will represent a $53.4 billion revenue opportunity for the global semiconductor industry in 2023, an increase of 20.9 percent from 2022, according to the latest worldwide market study by Gartner. "The developments in generative AI and the increasing use of a wide range AI-based applications in data c

Industrial Cloud Computing Apps Gain Momentum

In the manufacturing industry, cloud computing can help leaders improve their production efficiency by providing them with real-time data about their operations. This has gained the attention of the C-suite. Total forecast Industrial Cloud platform revenue in manufacturing will surpass $300 billion by 2033 with a CAGR of 22.57 percent, driven by solution providers enhancing platform interoperability while expanding partner ecosystems for application development. ABI Research found the cloud computing manufacturing market will grow over the next decade due to the adoption of new architectural frameworks that enhance data extraction and interoperability for manufacturers looking to maximize utility from their data. Industrial Cloud Computing Market Development "Historically, manufacturers have built out their infrastructure to include expensive data housing in the form of on-premises servers. The large initial upfront cost of purchasing, setting up, and maintaining these servers is

Demand for Quantum Computing as a Service

The enterprise demand for quantum computing is still in its early stages, growing slowly. As the technology becomes more usable, we may see demand evolve beyond scientific applications. The global quantum computing market is forecast to grow from $1.1 billion in 2022 to $7.6 billion in 2027, according to the latest worldwide market study by International Data Corporation (IDC). That's a five-year compound annual growth rate (CAGR) of 48.1 percent. The forecast includes base Quantum Computing as a Service, as well as enabling and adjacent Quantum Computing as a Service. However, this updated forecast is considerably lower than IDC's previous quantum computing forecast, which was published in 2021, due to lower demand globally. Quantum Computing Market Development In the interim, customer spend for quantum computing has been negatively impacted by several factors, including: slower than expected advances in quantum hardware development, which have delayed potential return on inve