Worldwide Smart Buildings AI & Machine Learning in Smart

Dublin, August 11, 2021 (GLOBE NEWSWIRE) – The report “Smart Buildings AI & Machine Learning in Smart Commercial Buildings” has been added to ResearchAndMarkets.com offer.

This report is a new study from 2021 that performs an independent assessment of the artificial intelligence and machine learning technologies market and their application in intelligent commercial buildings from 2020 to 2025.

This assessment of current and projected revenue is based on a comprehensive bottom-up model that assesses the AI ​​and machine learning offerings of a total of 255 companies, ranging from the world’s largest tech companies to niche startups based on a total. from 17 different countries around the globe.

The information presented in this report is based on our expertise in the associated areas of IoT, Big Data, cybersecurity and application specific markets such as physical security, video analytics, analytics. occupancy and intelligent lighting.

Why do you need this report?

  • Go through the hype to understand what AI IS (and what is NOT) and how it is applied to systems in the built environment. There are a growing number of use cases and case studies of commercially available solutions that deliver tangible value to building owners and occupants, which we discuss in this report.
  • Understand the solutions that have grown in importance in the wake of the COVID-19 pandemic and how they harness the ability of AI technology to detect, monitor and track the actions, behaviors and movements of individuals.
  • Discover the market opportunity. The report estimates that the AI ​​and machine learning in intelligent commercial buildings market generated total revenues of $ 1.11 billion in 2020, and we forecast it will grow by 24.3% CAGR until 2025, almost tripling in value to reach approx. $ 3.3 billion by 2025.
  • Understand the competitive landscape. Over 45% and 43% of companies respectively provide solutions related to the security and access control and space / occupancy and movement of people markets. The market for AI-based energy management and sustainability services is also growing rapidly and attracting a good number of new entrants to the market, with 32% of providers now offering services for this space.

Across its 265 pages and 42 charts and tables, the report filters out all the key facts and draws conclusions, so you can understand exactly how AI technology will be applied to commercial buildings and why;

  • While the organic sales growth of new AI-based solutions will be responsible for the majority of the expected growth in the market, it will also be due, in part, to AI taking over a still proportion. larger of existing building systems already in operation. . AI devices will increasingly replace older generations of edge devices, and AI-based analytics will replace some more traditional forms of software analytics sold today.
  • The majority of hardware revenue comes from edge devices, especially the different types of AI-enabled cameras. Other market analyzes devoted to the broader AI solutions market show a much higher weighting of software-generated revenue, but the relative importance of computer vision solutions to the smart building market means that revenues hardware is a strong market share and will continue to do so. so go ahead. We estimate that hardware revenue currently represents 35.5% of the market.
  • The global AI industry is attracting significant investment and this trend also applies to those offering solutions for the smart building market. 120 of the 255 companies on our list have received some form of declared equity investment. Of these, 111 received $ 1 million or more in reported funding, with the median total amount of funding received being $ 12 million for all of the companies on our list.
  • For AI & ML startups involved in the smart buildings market, our analysis of the total funding received since 2010 shows that Chinese companies receive the largest total amount of funding, at over $ 6.3 billion, compared to 3.9 billion. billion dollars for American companies. These two countries are by far the most important in terms of private investment in AI.

Who should buy this report?

The information in this report will be useful to anyone engaged in the management, operation and investment in intelligent commercial buildings (and their advisers) across the world. In particular, those who wish to understand exactly how AI and machine learning technologies impact commercial real estate will find it particularly useful.

Main topics covered:

1. Scope and methodology

2. An introduction to AI for smart buildings
2.1 The fundamentals of AI
2.2 IoT and Big Data
2.3 Cloud
2.4 AI hardware
2.5 Tools for AI development

3. Applications and use cases
3.1 Analysis of use cases
3.2 Security and access control
3.3 Space, occupation and movement of people
3.4 Energy management and sustainability
3.5 Predictive maintenance and FDD
3.6 Experience, comfort and productivity
3.7 Commitment, feeling and behavior
3.8 Emergency notice
3.9 Air quality and environmental analysis
3.10 Lighting
3.11 Water management
3.12 Fire safety
3.13 Elevators and escalators
3.14 Cybersecurity and device management
3.15 Digital twin and AI platforms

4. Vertical market application and use cases
4.1 Retail trade
4.2 Hospitality
4.3 Health care
4.4 Education
4.5 Airports
4.6 Data centers

5. Impact assessment of COVID-19
5.1 AI adoption and investment impacts
5.2 Impacts of smart buildings
5.3 Cyber ​​security implications
5.4 Impacts specific to vertical markets
5.5 COVID-specific applications and use cases

6. Market dynamics
6.1 Development trends
6.2 adoption trends
6.3 Maturity of the solution
6.4 The future of AI for smart buildings
6.5 Market drivers
6.6 Challenges and obstacles
6.7 Governance and ethics

7. Market size and growth prospects
7.1 Global Growth Forecast
7.2 Market Forecast by Hardware and Software
7.3 Market Forecast by Use Case
7.4 Market Forecast by Vertical
7.5 Market Forecast by Region
7.6 Regional growth indicators
7.7 Market Forecast – The Americas
7.8 Market Forecast – EMEA
7.9 Market Forecast – Asia Pacific

8. The competitive landscape
8.1 Geographical distribution of AI providers
8.2 Mapping of ecosystems
8.3 Investment trends
8.4 Strategic partnerships and alliances
8.5 Merger and acquisition activity

Companies mentioned

  • 3Divi
  • 6th Energy Technologies
  • 720 degrees
  • 75F
  • Accent
  • ACIC
  • Actuate
  • Agent VI
  • Aifi
  • Aislelabs
  • Aitek
  • Alcatraz AI
  • AllGoVision
  • amadeus
  • Amazon (Go)
  • Ambarella
  • AnyVision
  • Aquaséca
  • Aquicore
  • Arcarithm
  • Arloid Automation
  • ARM
  • Aruba Networks
  • Arup
  • AskPorter
  • Athena Security
  • Avigilon
  • Cloud Axiom
  • Axis Communications
  • AxxonSoft
  • Ayonix
  • Basking.io
  • BeeBryte
  • Bentley Systems
  • in the blink of an eye
  • Bldng.ai
  • BlockDox
  • BlueWave-ai
  • Bosch
  • Rock AI
  • Artificial intelligence
  • BrainChip
  • Brief camera
  • BuildingIQ
  • Cambricon Technologies
  • Carbon Lighthouse
  • CBRE
  • Brain Systems
  • Cisco
  • Cityzenith
  • Clock analysis
  • CloudMinds
  • Cloudwalk technology
  • Cognitec
  • Competent
  • cohesion
  • CopperTree
  • Dabbel
  • Dahua
  • Deep shine
  • Deep camera
  • Defense
  • Demand logic
  • Density
  • Device42
  • Digital barriers
  • Distech Controls (Acuity)
  • Eagle Eye Networks
  • Energy efficient outlook
  • Ecolibrium
  • IA element
  • Energetic
  • Envizi
  • EQuota Energy
  • Ethera
  • Everbridge
  • EVolution Networks
  • Evolution of technology
  • FaceFirst
  • Facet
  • Flir Systems
  • foghorn
  • Foobot
  • Fujitec
  • Gemalto
  • Genetec
  • Geovision
  • Google
  • Gorilla Technology Group
  • IA GoSpace
  • Graphcore
  • Green wave technologies
  • Gridium
  • Hanvon
  • Hanwha Techwin
  • Harman International
  • Hella Aglaia Mobile Vision GmbH
  • Helvar
  • Herta
  • HID Global
  • HiKVision
  • Hitachi
  • Honyewell
  • Huawei Technologies
  • IBM
  • ice
  • ICS.ai
  • IDIS
  • Igor
  • Picture
  • IndigoVision
  • Infinova
  • Infogrid
  • Innovation
  • Inpixon
  • Insiteo
  • Intelligence
  • intelGlas
  • IntelliVision
  • iOmniscient
  • Ipsos Retail performance
  • Ipsotek
  • Irisys
  • IronYun
  • ISS
  • Johnson control
  • Kairos AR
  • Ketos
  • Kloudspot
  • Kognition
  • Koné
  • Lanhorn.ai
  • Lauretta.io
  • Leaftech
  • Leanheat
  • Logical buildings
  • Mapped
  • Matterport
  • MCloud Technologies
  • MCS Solutions (Spacewell)
  • Measurable
  • Megvii
  • Microsoft
  • Milestone systems
  • spirit tree
  • Mist (Juniper)
  • Mobotix
  • NEC Company
  • Neurotechnology
  • NiroVision
  • Nlyte software
  • Novion
  • Nozomi Networks
  • NUUO
  • NVIDIA
  • Octo (Heads Upp)
  • Omnilert
  • On the semiconductor
  • OpenAI
  • OpenSensors
  • Otis
  • Panasonic
  • Passive logic
  • petasense
  • Pivot3
  • Point taking
  • Normative data
  • Qualcomm
  • Qualvision
  • Quividi
  • R&B Technology Group
  • ReconaSense
  • Resonai
  • Next Business
  • Rhombus Systems
  • Samsung
  • SAP
  • Schindler
  • Schneider Electric
  • Scylla
  • SecuriThings
  • SenseTime
  • Sensor flow
  • Sensormatic (Shoppertrak)
  • AI shapes
  • Shayp
  • Shenzhen TVT Digital Technology
  • Shepherds networks
  • Shield IOT
  • Siemens
  • Sightcorp
  • SkyFoundry
  • Smart Spaces operating system
  • Smart spaces
  • Intelligent space AI
  • SpaceIQ
  • Springboard
  • Standard cognition
  • Station A
  • Rod
  • StoneLock
  • Sunbird
  • Sunell
  • Supreme
  • Automation of switches
  • Technicians
  • Terminus Technologies
  • Thought Thread
  • Thyssenkrupp
  • Tiandy
  • Retail business
  • Trigo
  • UbiqiSense
  • uhoo
  • Ultimate
  • Umbo computer vision
  • Univue
  • V-count
  • Vaak
  • Vantiq
  • Vert-de-Gris Technologies
  • Vergesense
  • Verint
  • Verkada
  • Vertiv
  • Vigilant
  • Vintra
  • Virdi
  • VisionLabs
  • Vivotek Inc.
  • Volan technology
  • Vyntelligence
  • To win
  • Xjera Laboratories
  • Xovis
  • XY direction
  • Yardi
  • Yitu technology
  • Zebra Technologies
  • Zero Eyes
  • Zippin
  • ZKTEco
  • ZTE

For more information on this report, visit https://www.researchandmarkets.com/r/vrvpim


        
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