AI in Physical Security Market By Component (Solutions, Services (Managed Services, Professional Services)) By Technology (Machine Learning, Natural Language Processing, Context Aware Computing, Computer Vision) By Deployment (On Premise, Cloud) By Function (Video Surveillance, Access Control, Intrusion Detection, Crowd Monitoring, Robot & Drone Surveillance) By End-Use (Residential, Commercial, M

Published Date: November - 2024 | Publisher: MIR | No of Pages: 320 | Industry: ICT | Format: Report available in PDF / Excel Format

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AI in Physical Security Market By Component (Solutions, Services (Managed Services, Professional Services)) By Technology (Machine Learning, Natural Language Processing, Context Aware Computing, Computer Vision) By Deployment (On Premise, Cloud) By Function (Video Surveillance, Access Control, Intrusion Detection, Crowd Monitoring, Robot & Drone Surveillance) By End-Use (Residential, Commercial, M

Global AI in physical security market is expected to grow at a significant rate in the forecast period. The use of artificial intelligence AI technology with the help of data collection, interpretation, and processing of data to make insightful decisions based on the processed gathered information by the security organizations is in high demand all around the globe. The rise in the number of applications of artificial security in physical security is driving the growth of the market.

The growing use of artificial intelligence in physical security is to make the identification of the culprits by the security professionals more precise by collecting people's information through the help of security cameras. The culprits can easily be identified by looking at the people doing mundane activities for a longer duration of time and by processing that information. The surge in the use of body-worn cameras by security officials for searching operations contributes significantly to the AI in physical security market growth in the next five years.

Artificial intelligence enables manufacturers to effectively use Big Data Analytics technology by providing solutions to lower operational costs. The growing adoption of automation technology for assisting in making the work error-free and increasing the efficiency of the work is expected to create lucrative opportunities for market growth.

Global AI in physical security market is segmented into component, technology, deployment, function, end-use, regional distribution, and company. Based on the regional analysis, the North American region is expected to dominate the market in the forecast period, 2023-2027. The presence of the majority of players in the region and advanced technologies in organizations and manufacturing units contribute to the market growth. The increase in the number of cyber thefts and terror attacks to gain confidential information of the organization and the growing dependence of organizations on the digital platforms for work completion is influencing the growth of AI in the physical security market.

The major players operating in the global AI in physical security market are Google LLC, International Business Machines Corporation, SAP SE, Siemens AG, Cisco Systems Inc., Hewlett Packard Enterprises Company, Neurala Inc., Huawei Technologies Co., Ltd, Xilinx Inc., Nvidia Corporation, Samsung Group, Micron Technology Inc., Securonix Inc, Intel Corporation, Cylance Inc., LexisNexis Risk Solutions Group, among others. Major companies are developing advanced technologies and launching new services to stay competitive in the market. Other competitive strategies include mergers & acquisitions and new service developments.

Objective of the Study

  • To analyze the historical growth of the market size of global AI in physical security market from 2017 to 2020.
  • To estimate and forecast the market size of global AI in physical security market from 2021 to 2027 and growth rate until 2027.
  • To classify and forecast global AI in physical security market based on component, technology, deployment, function, end-use, regional distribution, and company.
  • To identify dominant region or segment in the global AI in physical security.
  • To identify drivers and challenges for global AI in physical security market.
  • To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global AI in physical security market.
  • To identify and analyze the profile of leading players operating in global AI in physical security market.
  • To identify key sustainable strategies adopted by market players in global AI in physical security market.

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Market Insights Research performed both primary as well as exhaustive secondary research for this study. Initially, Market Insights Research sourced a list of service providers across the globe. Subsequently, Market Insights Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, Market Insights Research could include the service providers who could not be identified due to the limitations of secondary research. Market Insights Research analyzed the service providers, distribution channels and presence of all major players across the globe.

Market Insights Research calculated the market size of

Key Target Audience

  • AI in Physical Security service provider companies
  • Market research and consulting firms
  • Government bodies such as regulating authorities and policy makers
  • Organizations, forums, and alliances related to AI in physical security market

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers, suppliers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

Attribute

Details

Base Year

2021

Historical Data

2017 â€“ 2020

Estimated Year

2022

Forecast Period

2023 – 2027

Quantitative Units

Revenue in USD Million and CAGR for 2017-2021 and 2022E-2027F

Report coverage

Revenue forecast, company share, competitive landscape, growth factors, and trends

Segments covered

  • Type
  • Technology
  • Deployment
  • Function
  • End User

Regional scope

North America; Europe; Asia Pacific; South America; Middle East & Africa

Country scope

United States, Mexico, Canada, China, India, Japan, South Korea, Australia, Germany, France, United Kingdom, Spain, Italy, South Africa, UAE, Saudi Arabia, Qatar, Brazil, Argentina, Colombia

Key companies profiled

Google LLC, International Business Machines Corporation, SAP SE, Siemens AG, Cisco Systems Inc., Hewlett Packard Enterprises Company, Neurala Inc., Huawei Technologies Co., Ltd, Xilinx Inc., Nvidia Corporation, Samsung Group, Micron Technology Inc., Securonix Inc, Intel Corporation, Cylance Inc., LexisNexis Risk Solutions Group.

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Table of Content

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