Global Ambient Intelligence Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

Global Ambient Intelligence Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

The Global Ambient Intelligence Market is estimated to grow at a CAGR of 5.4% over the forecast period of 2022–2027. Ambient intelligence (Aml) is an emerging discipline that brings intelligence to everyday environments and makes such environments sensitive to users. AmI builds upon advanced sensors, sensor networks, pervasive computing, and artificial intelligence.

Key Highlights
  • These solutions are crucial in revolutionizing daily human life by making people’s surroundings more flexible and adaptive. Hence, ambient intelligence is increasingly becoming popular in the modern digital world. The overall efficiency of a business can also be significantly enhanced by adopting ambient intelligence technology.
  • Ambient intelligence often refers to systems that enable interaction between sensors, devices, networks, and people to support users in carrying out their daily life tasks and activities. Such environments can adapt and anticipate the presence and behavior of people, objects, and contextual factors, such as events, location, resources, and identity.
  • Ambient intelligence often refers to systems that enable interaction between sensors, devices, networks, and people to support users in carrying out their daily life tasks and activities. Such environments can adapt and anticipate the presence and behavior of people, objects, and contextual factors, such as events, location, resources, and identity.
  • In addition to home and business surroundings, ambient intelligence can be used in an entirely automated environment to perform management functions, check conditions, interact with other devices, and transmit data externally.
  • Due to the emergence of the COVID-19 pandemic, the vendors offering ambient intelligence and ambient computing witnessed a positive impact on the given market. It is mainly attributed to the factors such as the global lockdown and the shift to working from home culture. The trend is still prevailing, as companies have extended the work-from-home policy, and people are continuing to work from home and seeking advanced digital solutions to make the work experience seamless.
Key Market TrendsHealthcare Segment is Expected to Hold a Significant Market Share
  • To minimize overburdening physicians' cognitive skills, improvements in artificial intelligence aid them in the stages of clinical decision-making. Machine learning advances and low-cost sensors can supplement existing clinical decision-support systems by providing a computer-assisted understanding of the physical activities of healthcare.
  • Passive, contactless sensors embedded in the environment can create an ambient intelligence aware of people's movements and adapt to their continuing health needs. This form of ambient intelligence can help clinicians and in-home caregivers to perfect the physical motions that comprise the final steps of modern healthcare.
  • In addition, ambient intelligence can be of great help, especially during the pandemic when hospitals encounter a surge of patients. AmI can play a crucial role in improving the quality of healthcare delivery, the productivity of clinicians, and business operations in several hospitals during healthcare crises.
  • Furthermore, AmI can help by recording patient health records and updating the stoic Electronic Medical Record (EMR) to deliver a more accurate narrative. It can assist healthcare workers, including physicians and nurses, in providing quality care by analyzing patient information, such as prior treatments and allergic responses of the patient.
  • Wireless sensors in an ambient intelligence network can enable hospitals to monitor blood sugar information continuously. Patients are advised to wear bio-compatible wearable devices for this purpose. In addition, sensors implanted in a patient's body detect the glucose level in their blood.
  • Apart from these uses, IoT, thermal vision cameras, and AI can also be utilized to check infected zones. For instance, the surfaces where infectious viruses are found can be cleaned and decontaminated.
  • Moreover, In hospital spaces, ambient intelligence can lead to more efficient clinical workflows and improved patient safety in operating rooms and ICUs. For instance, 230 million surgical procedures are performed yearly, and up to 14% of patients experience an adverse event. Improving the skills of surgeons are needed to help reduce such errors. One study trained a convolutional neural network to track a needle driver in prostatectomy videos. Using peer evaluation as the reference standard, the algorithm rated 12 surgeons under high- and low-skill groups with an accuracy of 92%.
North America is Expected to Hold the Largest Share
  • The North American region accounts for a significant share of the market studied, owing to factors such as the great presence of key players of ambient intelligence vendors in the country, early adoption of advanced technologies, and considerable digitalization across various sectors present in the region.
  • This automation trend has massively increased the economic opportunities of US marketers and international competitors. Ambient intelligence provides advanced technology that offers a personalized approach to everyday operations.
  • The COVID-19 pandemic has accelerated the awareness of ambient intelligence and ubiquitous computing among end users in the United States. It has started adopting ambient intelligence to improve efficiency in daily tasks, assist the healthcare industry with patient care, and reduce manual efforts using AI.
  • In addition, its primary application in smart homes mainly drives the demand for ambient intelligence in this region. For instance, as per the information stated by The Ambient, The United States has the greatest number of smart homes (an estimated total of 41.3 million) and citizens of The United States favor home automation devices more than other nations, which in turn is expected to boost the AmI market adoption in the region.
  • Furthermore, the COVID-19 pandemic has changed customer demands as the demand for digital experiences has grown exponentially, driving the ambient intelligence market across individuals and industrial users by utilizing IoT sensors.
  • For instance, equipment of ambient operations in an office building with devices such as thermostats, smoke detectors, and lighting controlled by motion sensors is common. However, with ambient intelligence, ambient operations supported by vital artificial intelligence facilitate these operations to shift toward extreme personalization end.
Competitive Landscape

The Global Ambient Intelligence Market has many competitors with multiple prominent players. Some major players, including Schneider Electric S.E., Ingersoll-Rand PLC, Legrand SA, Siemens AG, ABB Group, and Honeywell International Inc., are adopting strategies for developing the market, like new product development, global expansion, acquisitions, and investments.

  • January 2022: Lockheed Martin, Amazon, and Cisco teamed up to integrate human-machine interface technologies into NASA’s Orion spacecraft, providing an opportunity to learn how future astronauts could benefit from far-field voice technology, A.I., and tablet-based video collaboration.
  • November 2021: Microsoft revealed that they are moving from a mobile and cloud era to an era of ubiquitous computing and ambient intelligence. Over the next ten years, this era will experience more digitization. This move happened during its Ignite 2021 event.
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1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET INSIGHTS
4.1 Market Overview
4.2 Industry Attractiveness - Porter's Five Forces Analysis
4.2.1 Bargaining Power of Suppliers
4.2.2 Bargaining Power of Consumers
4.2.3 Threat of New Entrants
4.2.4 Intensity of Competitive Rivalry
4.2.5 Threat of Substitutes
4.3 Industry Value Chain Analysis
4.4 Product Life Cycle Analysis
4.5 Value Chain Analysis
4.6 Customer Acceptance / Adaptability
4.7 Comparative Analysis
4.8 Investment Scenario
4.9 Impact of COVID-19 on the Industry
5 MARKET DYNAMICS
5.1 Market Drivers
5.1.1 Ubiquity of AI and IoT devices
5.1.2 Evolving Location-based Mobile Applications
5.1.3 Growing Smart Cities and Smart Home Projects across the World
5.2 Market Challenges
5.2.1 Data Security, Privacy and Identity Issues
5.2.2 Lack of Awareness Among Smaller Enterprises
5.3 Market Trends
5.4 Recent Innovations and Product Developments
6 MARKET SEGMENTATION
6.1 Component
6.1.1 Hardware
6.1.2 Software and Solutions
6.2 Technology
6.2.1 Bluetooth Low Energy
6.2.2 RFID
6.2.3 Sensors Ambient Light Sensor
6.2.4 Software agents
6.2.5 Affective computing
6.2.6 Nanotechnology
6.2.7 Biometrics
6.2.8 Others
6.3 End-User Industry
6.3.1 Residential
6.3.2 Retail
6.3.3 Healthcare
6.3.4 Industrial
6.3.5 Office Building
6.3.6 Automotive
6.3.7 Others
6.4 Geography
6.4.1 North America
6.4.2 Europe
6.4.3 Asia Pacific
6.4.4 Latin America
6.4.5 Middle East and Africa
7 COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 Schneider Electric S.E.
7.1.2 Ingersoll-Rand PLC
7.1.3 Legrand SA
7.1.4 Siemens AG
7.1.5 ABB Group
7.1.6 Honeywell International Inc.
7.1.7 Tunstall Healthcare Ltd
7.1.8 Koninklijke Philips N.V.
7.1.9 Chubb Community Care
7.1.10 Caretech Ab
7.1.11 Assisted Living Technologies Inc
7.1.12 Getemed Medizin-Und Informationstechnik AG
7.1.13 Medic4all Group
7.1.14 Telbios
7.1.15 Televic N.V.
7.1.16 Vitaphone GmbH.
8 INVESTMENT ANALYSIS
9 FUTURE OF THE MARKET

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