The Artificial Intelligence of Things (AIoT) Market is anticipated to develop at a CAGR of 32.4% from 2024 to 2031, from a value of USD 36.95 billion in 2023 to USD 348.9 Billion in 2031.
The growing demand for AIoT solutions can be attributed to several factors, including the increasing use of IoT devices, advancements in computing power, AI algorithms, the need for efficient operations, and the desire for data-driven insights. Various sectors, such as agriculture, smart homes, healthcare, manufacturing, and transportation, are actively adopting AIoT to boost production, improve consumer experiences, cut costs, and gain a competitive edge.
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The market for AIoT is poised for future growth, thanks to ongoing developments in IoT and AI technologies. This presents abundant business opportunities and promises to modernize numerous sectors within the projected timeframe. In 2022, the software segment emerged as a dominant force in the AIoT market, boasting a staggering value of over USD 4.8 billion. This remarkable growth can be attributed to the increasing demand for AIoT platform software on a global scale, driven by the pressing need for enhanced risk management capabilities, optimization, reduced downtime, intelligent real-time process monitoring, and improved data management and analysis.
Drivers
Growing Demand for Sustainable Smart City Development to Drive Market Growth
Things with Artificial Intelligence Powered by Edge Computing
Industrial hardware powered by edge computing and AIoT is becoming more intelligent.
Increased use of AIoT systems across industries for instant decision-making.
The development of sustainable smart cities is experiencing a surge in demand, leading to significant market growth. One of the key drivers behind this growth is the integration of Artificial Intelligence of Things (AIoT) technology, which is revolutionizing digital homes and fostering the creation of sustainable communities. This innovative technology is facilitating the efficient management of energy and water resources in smart cities, resulting in improved sustainability and increased market progress. AIoT solutions are instrumental in automating processes, enabling intelligent decision-making, and enhancing overall efficiency. By leveraging AIoT, cities can proactively identify and address various events and challenges. For instance, AIoT is applied to SIM tank trucks and water management systems to detect low water levels in overhead tanks (OHT) in a timely manner. In response, refill pumps are automatically activated, ensuring an uninterrupted water supply for residents.
The optimization of water and energy usage through the utilization of AIoT is a significant factor driving the growth of the global market. This technology empowers cities to make informed decisions and implement proactive measures, resulting in sustainable resource management and improved quality of life for residents. As the demand for sustainable smart cities continues to rise, the market for AIoT is expected to witness further expansion and innovation.
Restrains
Concerns about data security and privacy may limit market expansion.
IoT and AI device integration presents serious privacy and security issues. AIoT systems are potential targets for cyberattacks because they gather and analyze enormous volumes of data, including sensitive and personal data. Important market difficulties include ensuring data privacy, guarding against unauthorized access, and maintaining the security of AIoT networks. As a result, key obstacles to the market's growth include securing AIoT systems from cyber threats and guaranteeing the privacy of user data.
Opportunities
Operational decision-making in real-time
Challenges
Update and maintenance challenges
Governments and defense contractors may increase their investments in AIoT technologies for defense and security purposes in response to the conflict. This could create new opportunities for AIoT companies specializing in these applications. The conflict can create geopolitical uncertainty, which may impact international trade and cooperation. AIoT companies with a global presence may face challenges related to sanctions, export controls, and changes in international partnerships. Any disruption in energy supplies, particularly natural gas from Russia, could lead to fluctuations in energy prices. Higher energy costs can affect the operational costs of data centers and AIoT infrastructure. The conflict may lead to a talent drain from the affected regions, including Ukraine. Skilled AIoT professionals may seek opportunities in more stable countries, potentially impacting the availability of talent in the AIoT sector. As tensions rise, there may be an increase in cyberattacks and cyber espionage activities. AIoT companies, especially those involved in critical infrastructure, will need to invest more in cybersecurity measures to protect their systems and data. The conflict can lead to uncertainties in financial markets, affecting investments in AIoT startups and companies. Investors may become more cautious in funding projects in the region, impacting the growth of the AIoT market. Broader economic consequences of the conflict, such as inflation, can impact consumer spending and business investments, potentially affecting the demand for AIoT solutions.
Impact of Recession
During a recession, businesses may cut back on their investments in new technologies, including AIoT. This can lead to a slowdown in the development and adoption of AIoT solutions as companies prioritize cost-cutting measures over innovation. Companies might delay or scale back AIoT projects that were previously in progress. This could affect the development and deployment of AIoT applications in various industries, such as healthcare, manufacturing, and transportation. Startups and smaller AIoT companies may face challenges in securing funding during a recession. Investors may be more risk-averse and less willing to invest in early-stage AIoT ventures, which could stifle innovation in the sector. Recessions can prompt businesses to shift their priorities. They may prioritize AIoT applications that directly address pressing issues, such as supply chain optimization, remote monitoring, or predictive maintenance, to improve their resilience during economic downturns. Economic downturns can lead to industry consolidation as larger, financially stable companies acquire smaller, struggling ones. This can result in a concentration of resources and expertise in the AIoT market, potentially accelerating the development of more advanced solutions. Consumer spending patterns may change during a recession, affecting the adoption of AIoT consumer products. Consumers may be more price-conscious, which could impact the sales of AIoT devices and services in the consumer market.
By Deployment
Edge IoT
Cloud-Based
By Application
Real-Time Machinery Condition Monitoring
Predictive Maintenance
Inventory Management
Energy Consumption Management
Robust Asset Management
By Industry
Retail
Agriculture
Logistics
BFSI
Automotive & Transport
Healthcare
Oil & Gas
Because cloud-based AIOps platforms do not have firewall constraints that would prevent access to an on-premises solution, they account for 44.2% of the AIoT market share in 2022. Cloud-based and SaaS technologies also do away with overhead and maintenance expenditures. The storage volume and scalability restrictions of locally installed hardware are also removed by cloud object storage services, which offer limitless virtual storage capacity.
As one of the technologically most advanced regions, North America has repeatedly set the pace for IoT expansion worldwide. In terms of IoT, the region excels at creativity and creating novel solutions to everyday problems. North America is expected to lead the growth of the worldwide artificial intelligence of things (AIoT) market because of the region's considerable solution providers and the growing acceptance of AIoT by the manufacturing and automotive industries.
In 2022, the Asia Pacific AIoT market will have surpassed USD 1.98 billion in sales. The Asia Pacific area is seeing an increase in the adoption of AIoT technologies. The principal nations influencing the expansion of the regional market are China, Japan, and India. The region's substantial population, widespread use of mobile and internet technologies, and strong industrial industry have all fueled an increase in demand for AIoT applications. Smart cities, healthcare, transportation, agriculture, and manufacturing are just a few of the sectors in Asia Pacific where AIoT use is rising.
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REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
The key market players are Intel, AWS, NXP, Google, Cisco, IBM, Tencent Cloud, Sharp Global, Oracle, Microsoft, HPE, SAS, Uptake, Williot, SAP, AxiomTek, Cognosos, Terminus Group, Falkonry, Hitachi, Sightmachine, Autoplant Systems India Pvt. Ltd., Semifive, and Other Players
Cisco Meraki will introduce the MT30 smart automation button, a new MT14 indoor air quality sensor, and additional MV analytics capabilities in March 2022, expanding its IoT offering. In order to safeguard people, places, and things in the future, businesses will need Cisco Meraki to meet their smart workspace requirements.
In June 2022, Intel and Vingroup collaborated to develop smart city technologies. In addition to deploying smart factory IoT solutions for VinES battery manufacturing and VinFast EV manufacturing, Intel would look at prospects for 5G-enabled smart city and smart building solutions that might be used for Vinhomes' smart city projects.
A low-density LPDRAM manufacturer and emerging supplier of AI memory solutions for edge/IoT applications, P Memory Technology Corporation, teamed up with Synopsys in February 2022 to offer scalable and optimized RAM solutions for forthcoming IoT software & hardware. The solution offers confirmed interoperability between the IoT RAM from AP Memory and the DesignWare Synchronous Serial Interface (SSI) IP from Synopsys. The Synopsys DesignWare IP offers a fast transmission rate and low latency in serial memories for IoT and mobile applications.
IBM and Siemens announced a partnership in July 2021 to combine IBM's Watson AI and Edge computing capabilities with Siemens' MindSphere IoT platform. The partnership aims to assist companies in enhancing their industrial processes and making better use of IoT data.
| Report Attributes | Details |
| Market Size in 2023 | US$ 36.95 Bn |
| Market Size by 2031 | US$ 348.9 Bn |
| CAGR | CAGR of 32.4% From 2024 to 2031 |
| Base Year | 2023 |
| Forecast Period | 2024-2031 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Offering (Solution, Services) • By Deployment (On-premises, Cloud) • By Solution Type (Connectivity Management, Device Management, Application Management) • By Verticals (Manufacturing, BFSI, Healthcare, Retail, Energy and Utilities, Transportation and Logistics, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | Intel, AWS, NXP, Google, Cisco, IBM, Tencent Cloud, Sharp Global, Oracle, Microsoft, HPE, SAS, Uptake, Williot, SAP, AxiomTek, Cognosos, Terminus Group, Falkonry, Hitachi, Sightmachine, Autoplant Systems India Pvt. Ltd., Semifive |
| Key Drivers | • Growing Demand for Sustainable Smart City Development to Drive Market Growth • Things with Artificial Intelligence Powered by Edge Computing • Industrial hardware powered by edge computing and AIoT is becoming more intelligent. • Increased use of AIoT systems across industries for instant decision-making. |
| Market Restraints | • Concerns about data security and privacy may limit market expansion. |
Ans: The market is expected to grow to USD 66.50 billion by the forecast period of 2030.
Ans. The CAGR of the Artificial Intelligence of Things (AIoT) Market for the forecast period 2022-2030 is 38.9 %.
Ans: Yes, you can buy reports in bulk quantity as per your requirements. Check Here for more details.
Ans: The prominent market players are Intel, AWS, NXP, Google, Cisco, IBM, Tencent Cloud, Sharp Global, Oracle, Microsoft, HPE, SAS, Uptake, Williot, SAP, AxiomTek, Hitachi, Sightmachine, Autoplant Systems India Pvt. Ltd., Semifive, and others in final report.
Ans.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Artificial Intelligence of Things (AIoT) Market Segmentation, By Deployment
8.1 Edge IoT
8.2 Cloud-Based
9. Artificial Intelligence of Things (AIoT) Market Segmentation By Application
9.1 Real-Time Machinery Condition Monitoring
9.2 Supply Chain Management
9.3 Predictive Maintenance
9.4 Inventory Management
9.5 Energy Consumption Management
9.6 Robust Asset Management
9.7 Video Surveillance
10. Artificial Intelligence of Things (AIoT) Market Segmentation By Industry
10.1 Retail
10.2 Agriculture
10.3 Logistics
10.4 BFSI
10.5 Automotive & Transport
10.6 Healthcare
10.7 Oil & Gas
11. Regional Analysis
11.1 Introduction
11.2 North America
11.2.1 North America Artificial Intelligence of Things (AIoT) Market By Country
11.2.2 North America Artificial Intelligence of Things (AIoT) Market By Offering
11.2.3 North America Artificial Intelligence of Things (AIoT) Market By Deployment
11.2.4 North America Artificial Intelligence of Things (AIoT) Market By Solution Type
11.2.5 North America Artificial Intelligence of Things (AIoT) Market By Verticals
11.2.6 USA
11.2.6.1 USA Artificial Intelligence of Things (AIoT) Market By Offering
11.2.6.2 USA Artificial Intelligence of Things (AIoT) Market By Deployment
11.2.6.3 USA Artificial Intelligence of Things (AIoT) Market By Solution Type
11.2.6.4 USA Artificial Intelligence of Things (AIoT) Market By Verticals
11.2.7 Canada
11.2.7.1 Canada Artificial Intelligence of Things (AIoT) Market By Offering
11.2.7.2 Canada Artificial Intelligence of Things (AIoT) Market By Deployment
11.2.7.3 Canada Artificial Intelligence of Things (AIoT) Market By Solution Type
11.2.7.4 Canada Artificial Intelligence of Things (AIoT) Market By Verticals
11.2.8 Mexico
11.2.8.1 Mexico Artificial Intelligence of Things (AIoT) Market By Offering
11.2.8.2 Mexico Artificial Intelligence of Things (AIoT) Market By Deployment
11.2.8.3 Mexico Artificial Intelligence of Things (AIoT) Market By Solution Type
11.2.8.4 Mexico Artificial Intelligence of Things (AIoT) Market By Verticals
11.3 Europe
11.3.1 Eastern Europe
11.3.1.1 Eastern Europe Artificial Intelligence of Things (AIoT) Market By Country
11.3.1.2 Eastern Europe Artificial Intelligence of Things (AIoT) Market By Offering
11.3.1.3 Eastern Europe Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.1.4 Eastern Europe Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.1.5 Eastern Europe Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.1.6 Poland
11.3.1.6.1 Poland Artificial Intelligence of Things (AIoT) Market By Offering
11.3.1.6.2 Poland Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.1.6.3 Poland Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.1.6.4 Poland Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.1.7 Romania
11.3.1.7.1 Romania Artificial Intelligence of Things (AIoT) Market By Offering
11.3.1.7.2 Romania Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.1.7.3 Romania Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.1.7.4 Romania Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.1.8 Hungary
11.3.1.8.1 Hungary Artificial Intelligence of Things (AIoT) Market By Offering
11.3.1.8.2 Hungary Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.1.8.3 Hungary Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.1.8.4 Hungary Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.1.9 Turkey
11.3.1.9.1 Turkey Artificial Intelligence of Things (AIoT) Market By Offering
11.3.1.9.2 Turkey Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.1.9.3 Turkey Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.1.9.4 Turkey Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.1.10 Rest of Eastern Europe
11.3.1.10.1 Rest of Eastern Europe Artificial Intelligence of Things (AIoT) Market By Offering
11.3.1.10.2 Rest of Eastern Europe Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.1.10.3 Rest of Eastern Europe Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.1.10.4 Rest of Eastern Europe Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.2 Western Europe
11.3.2.1 Western Europe Artificial Intelligence of Things (AIoT) Market By Country
11.3.2.2 Western Europe Artificial Intelligence of Things (AIoT) Market By Offering
11.3.2.3 Western Europe Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.2.4 Western Europe Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.2.5 Western Europe Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.2.6 Germany
11.3.2.6.1 Germany Artificial Intelligence of Things (AIoT) Market By Offering
11.3.2.6.2 Germany Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.2.6.3 Germany Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.2.6.4 Germany Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.2.7 France
11.3.2.7.1 France Artificial Intelligence of Things (AIoT) Market By Offering
11.3.2.7.2 France Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.2.7.3 France Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.2.7.4 France Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.2.8 UK
11.3.2.8.1 UK Artificial Intelligence of Things (AIoT) Market By Offering
11.3.2.8.2 UK Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.2.8.3 UK Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.2.8.4 UK Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.2.9 Italy
11.3.2.9.1 Italy Artificial Intelligence of Things (AIoT) Market By Offering
11.3.2.9.2 Italy Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.2.9.3 Italy Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.2.9.4 Italy Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.2.10 Spain
11.3.2.10.1 Spain Artificial Intelligence of Things (AIoT) Market By Offering
11.3.2.10.2 Spain Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.2.10.3 Spain Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.2.10.4 Spain Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.2.11 Netherlands
11.3.2.11.1 Netherlands Artificial Intelligence of Things (AIoT) Market By Offering
11.3.2.11.2 Netherlands Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.2.11.3 Netherlands Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.2.11.4 Netherlands Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.2.12 Switzerland
11.3.2.12.1 Switzerland Artificial Intelligence of Things (AIoT) Market By Offering
11.3.2.12.2 Switzerland Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.2.12.3 Switzerland Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.2.12.4 Switzerland Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.2.13 Austria
11.3.2.13.1 Austria Artificial Intelligence of Things (AIoT) Market By Offering
11.3.2.13.2 Austria Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.2.13.3 Austria Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.2.13.4 Austria Artificial Intelligence of Things (AIoT) Market By Verticals
11.3.2.14 Rest of Western Europe
11.3.2.14.1 Rest of Western Europe Artificial Intelligence of Things (AIoT) Market By Offering
11.3.2.14.2 Rest of Western Europe Artificial Intelligence of Things (AIoT) Market By Deployment
11.3.2.14.3 Rest of Western Europe Artificial Intelligence of Things (AIoT) Market By Solution Type
11.3.2.14.4 Rest of Western Europe Artificial Intelligence of Things (AIoT) Market By Verticals
11.4 Asia-Pacific
11.4.1 Asia Pacific Artificial Intelligence of Things (AIoT) Market By Country
11.4.2 Asia Pacific Artificial Intelligence of Things (AIoT) Market By Offering
11.4.3 Asia Pacific Artificial Intelligence of Things (AIoT) Market By Deployment
11.4.4 Asia Pacific Artificial Intelligence of Things (AIoT) Market By Solution Type
11.4.5 Asia Pacific Artificial Intelligence of Things (AIoT) Market By Verticals
11.4.6 China
11.4.6.1 China Artificial Intelligence of Things (AIoT) Market By Offering
11.4.6.2 China Artificial Intelligence of Things (AIoT) Market By Deployment
11.4.6.3 China Artificial Intelligence of Things (AIoT) Market By Solution Type
11.4.6.4 China Artificial Intelligence of Things (AIoT) Market By Verticals
11.4.7 India
11.4.7.1 India Artificial Intelligence of Things (AIoT) Market By Offering
11.4.7.2 India Artificial Intelligence of Things (AIoT) Market By Deployment
11.4.7.3 India Artificial Intelligence of Things (AIoT) Market By Solution Type
11.4.7.4 India Artificial Intelligence of Things (AIoT) Market By Verticals
11.4.8 Japan
11.4.8.1 Japan Artificial Intelligence of Things (AIoT) Market By Offering
11.4.8.2 Japan Artificial Intelligence of Things (AIoT) Market By Deployment
11.4.8.3 Japan Artificial Intelligence of Things (AIoT) Market By Solution Type
11.4.8.4 Japan Artificial Intelligence of Things (AIoT) Market By Verticals
11.4.9 South Korea
11.4.9.1 South Korea Artificial Intelligence of Things (AIoT) Market By Offering
11.4.9.2 South Korea Artificial Intelligence of Things (AIoT) Market By Deployment
11.4.9.3 South Korea Artificial Intelligence of Things (AIoT) Market By Solution Type
11.4.9.4 South Korea Artificial Intelligence of Things (AIoT) Market By Verticals
11.4.10 Vietnam
11.4.10.1 Vietnam Artificial Intelligence of Things (AIoT) Market By Offering
11.4.10.2 Vietnam Artificial Intelligence of Things (AIoT) Market By Deployment
11.4.10.3 Vietnam Artificial Intelligence of Things (AIoT) Market By Solution Type
11.4.10.4 Vietnam Artificial Intelligence of Things (AIoT) Market By Verticals
11.4.11 Singapore
11.4.11.1 Singapore Artificial Intelligence of Things (AIoT) Market By Offering
11.4.11.2 Singapore Artificial Intelligence of Things (AIoT) Market By Deployment
11.4.11.3 Singapore Artificial Intelligence of Things (AIoT) Market By Solution Type
11.4.11.4 Singapore Artificial Intelligence of Things (AIoT) Market By Verticals
11.4.12 Australia
11.4.12.1 Australia Artificial Intelligence of Things (AIoT) Market By Offering
11.4.12.2 Australia Artificial Intelligence of Things (AIoT) Market By Deployment
11.4.12.3 Australia Artificial Intelligence of Things (AIoT) Market By Solution Type
11.4.12.4 Australia Artificial Intelligence of Things (AIoT) Market By Verticals
11.4.13 Rest of Asia-Pacific
11.4.13.1 Rest of Asia-Pacific Artificial Intelligence of Things (AIoT) Market By Offering
11.4.13.2 Rest of Asia-Pacific Artificial Intelligence of Things (AIoT) Market By Deployment
11.4.13.3 Rest of Asia-Pacific Artificial Intelligence of Things (AIoT) Market By Solution Type
11.4.13.4 Rest of Asia-Pacific Artificial Intelligence of Things (AIoT) Market By Verticals
11.5 Middle East & Africa
11.5.1 Middle East
11.5.1.1 Middle East Artificial Intelligence of Things (AIoT) Market By Country
11.5.1.2 Middle East Artificial Intelligence of Things (AIoT) Market By Offering
11.5.1.3 Middle East Artificial Intelligence of Things (AIoT) Market By Deployment
11.5.1.4 Middle East Artificial Intelligence of Things (AIoT) Market By Solution Type
11.5.1.5 Middle East Artificial Intelligence of Things (AIoT) Market By Verticals
11.5.1.6 UAE
11.5.1.6.1 UAE Artificial Intelligence of Things (AIoT) Market By Offering
11.5.1.6.2 UAE Artificial Intelligence of Things (AIoT) Market By Deployment
11.5.1.6.3 UAE Artificial Intelligence of Things (AIoT) Market By Solution Type
11.5.1.6.4 UAE Artificial Intelligence of Things (AIoT) Market By Verticals
11.5.1.7 Egypt
11.5.1.7.1 Egypt Artificial Intelligence of Things (AIoT) Market By Offering
11.5.1.7.2 Egypt Artificial Intelligence of Things (AIoT) Market By Deployment
11.5.1.7.3 Egypt Artificial Intelligence of Things (AIoT) Market By Solution Type
11.5.1.7.4 Egypt Artificial Intelligence of Things (AIoT) Market By Verticals
11.5.1.8 Saudi Arabia
11.5.1.8.1 Saudi Arabia Artificial Intelligence of Things (AIoT) Market By Offering
11.5.1.8.2 Saudi Arabia Artificial Intelligence of Things (AIoT) Market By Deployment
11.5.1.8.3 Saudi Arabia Artificial Intelligence of Things (AIoT) Market By Solution Type
11.5.1.8.4 Saudi Arabia Artificial Intelligence of Things (AIoT) Market By Verticals
11.5.1.9 Qatar
11.5.1.9.1 Qatar Artificial Intelligence of Things (AIoT) Market By Offering
11.5.1.9.2 Qatar Artificial Intelligence of Things (AIoT) Market By Deployment
11.5.1.9.3 Qatar Artificial Intelligence of Things (AIoT) Market By Solution Type
11.5.1.9.4 Qatar Artificial Intelligence of Things (AIoT) Market By Verticals
11.5.1.10 Rest of Middle East
11.5.1.10.1 Rest of Middle East Artificial Intelligence of Things (AIoT) Market By Offering
11.5.1.10.2 Rest of Middle East Artificial Intelligence of Things (AIoT) Market By Deployment
11.5.1.10.3 Rest of Middle East Artificial Intelligence of Things (AIoT) Market By Solution Type
11.5.1.10.4 Rest of Middle East Artificial Intelligence of Things (AIoT) Market By Verticals
11.5.2. Africa
11.5.2.1 Africa Artificial Intelligence of Things (AIoT) Market By Country
11.5.2.2 Africa Artificial Intelligence of Things (AIoT) Market By Offering
11.5.2.3 Africa Artificial Intelligence of Things (AIoT) Market By Deployment
11.5.2.4 Africa Artificial Intelligence of Things (AIoT) Market By Solution Type
11.5.2.5 Africa Artificial Intelligence of Things (AIoT) Market By Verticals
11.5.2.6 Nigeria
11.5.2.6.1 Nigeria Artificial Intelligence of Things (AIoT) Market By Offering
11.5.2.6.2 Nigeria Artificial Intelligence of Things (AIoT) Market By Deployment
11.5.2.6.3 Nigeria Artificial Intelligence of Things (AIoT) Market By Solution Type
11.5.2.6.4 Nigeria Artificial Intelligence of Things (AIoT) Market By Verticals
11.5.2.7 South Africa
11.5.2.7.1 South Africa Artificial Intelligence of Things (AIoT) Market By Offering
11.5.2.7.2 South Africa Artificial Intelligence of Things (AIoT) Market By Deployment
11.5.2.7.3 South Africa Artificial Intelligence of Things (AIoT) Market By Solution Type
11.5.2.7.4 South Africa Artificial Intelligence of Things (AIoT) Market By Verticals
11.5.2.8 Rest of Africa
11.5.2.8.1 Rest of Africa Artificial Intelligence of Things (AIoT) Market By Offering
11.5.2.8.2 Rest of Africa Artificial Intelligence of Things (AIoT) Market By Deployment
11.5.2.8.3 Rest of Africa Artificial Intelligence of Things (AIoT) Market By Solution Type
11.5.2.8.4 Rest of Africa Artificial Intelligence of Things (AIoT) Market By Verticals
11.6. Latin America
11.6.1 Latin America Artificial Intelligence of Things (AIoT) Market By Country
11.6.2 Latin America Artificial Intelligence of Things (AIoT) Market By Offering
11.6.3 Latin America Artificial Intelligence of Things (AIoT) Market By Deployment
11.6.4 Latin America Artificial Intelligence of Things (AIoT) Market By Solution Type
11.6.5 Latin America Artificial Intelligence of Things (AIoT) Market By Verticals
11.6.6 Brazil
11.6.6.1 Brazil Artificial Intelligence of Things (AIoT) Market By Offering
11.6.6.2 Brazil Artificial Intelligence of Things (AIoT) Market By Deployment
11.6.6.3 Brazil Artificial Intelligence of Things (AIoT) Market By Solution Type
11.6.6.4 Brazil Artificial Intelligence of Things (AIoT) Market By Verticals
11.6.7 Argentina
11.6.7.1 Argentina Artificial Intelligence of Things (AIoT) Market By Offering
11.6.7.2 Argentina Artificial Intelligence of Things (AIoT) Market By Deployment
11.6.7.3 Argentina Artificial Intelligence of Things (AIoT) Market By Solution Type
11.6.7.4 Argentina Artificial Intelligence of Things (AIoT) Market By Verticals
11.6.8 Colombia
11.6.8.1 Colombia Artificial Intelligence of Things (AIoT) Market By Offering
11.6.8.2 Colombia Artificial Intelligence of Things (AIoT) Market By Deployment
11.6.8.3 Colombia Artificial Intelligence of Things (AIoT) Market By Solution Type
11.6.8.4 Colombia Artificial Intelligence of Things (AIoT) Market By Verticals
11.6.9 Rest of Latin America
11.6.9.1 Rest of Latin America Artificial Intelligence of Things (AIoT) Market By Offering
11.6.9.2 Rest of Latin America Artificial Intelligence of Things (AIoT) Market By Deployment
11.6.9.3 Rest of Latin America Artificial Intelligence of Things (AIoT) Market By Solution Type
11.6.9.4 Rest of Latin America Artificial Intelligence of Things (AIoT) Market By Verticals
12. Company Profile
12.1 Intel
12.1.1 Company Overview
12.1.2 Financials
12.1.3 Product/Services/Offerings
12.1.4 SWOT Analysis
12.1.5 The SNS View
12.2 AWS
12.2.1 Company Overview
12.2.2 Financials
12.2.3 Product/Services/Offerings
12.2.4 SWOT Analysis
12.2.5 The SNS View
12.3 NXP.
12.3.1 Company Overview
12.3.2 Financials
12.3.3 Product/Services/Offerings
12.3.4 SWOT Analysis
12.3.5 The SNS View
12.4 Google.
12.4.1 Company Overview
12.4.2 Financials
12.4.3 Product/Services/Offerings
12.4.4 SWOT Analysis
12.4.5 The SNS View
12.5 Cisco.
12.5.1 Company Overview
12.5.2 Financials
12.5.3 Product/Services/Offerings
12.5.4 SWOT Analysis
12.5.5 The SNS View
12.6 IBM.
12.6.1 Company Overview
12.6.2 Financials
12.6.3 Product/Services/Offerings
12.6.4 SWOT Analysis
12.6.5 The SNS View
12.7 Tencent Cloud.
12.7.1 Company Overview
12.7.2 Financials
12.7.3 Product/Services/Offerings
12.7.4 SWOT Analysis
12.7.5 The SNS View
12.8 Sharp Global.
12.8.1 Company Overview
12.8.2 Financials
12.8.3 Product/Services/Offerings
12.8.4 SWOT Analysis
12.8.5 The SNS View
12.9 Oracle.
12.9.1 Company Overview
12.9.2 Financials
12.9.3 Product/Services/Offerings
12.9.4 SWOT Analysis
12.9.5 The SNS View
12.10 Microsoft.
12.10.1 Company Overview
12.10.2 Financials
12.10.3 Product/Services/Offerings
12.10.4 SWOT Analysis
12.10.5 The SNS View
13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Market Share Analysis
13.3 Recent Developments
13.3.1 Industry News
13.3.2 Company News
13.3 Mergers & Acquisitions
14. USE Cases and Best Practices
15. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
The Digital Workplace Market size was valued at USD 32.98 Billion in 2022 and is expected to grow to USD 167.23 Billion By 2030 and grow at a CAGR of 22.5 % over the forecast period of 2023-2030.
The Cybersecurity Market Size was valued at USD 187.6 Billion in 2023 and is expected to reach USD 395 Billion by 2031 and grow at a CAGR of 9.72% over the forecast period 2024-2031.
The Passenger Service System Market size was valued at USD 8.62 billion in 2022, It is expected to hit USD 18.49 billion by 2030 and grow at a CAGR of 10.01% over the forecast period of 2023-2030.
The Intelligent Virtual Assistance Market size was valued at USD 2.38 billion in 2022 and is expected to grow to USD 14.09 billion by 2030 and grow at a CAGR of 24.9 % over the forecast period of 2023-2030.
The Enterprise Architecture Tools Market size was USD 1.07 billion in 2022 and is expected to Reach USD 1.6 billion by 2030 and grow at a CAGR of 5.2 % over the forecast period of 2023-2030.
The Bare Metal Cloud Market Size was valued at USD 8.23 Billion in 2023 and is expected to reach USD 31.89 Billion by 2031 and grow at a CAGR of 18.2 % over the forecast period 2024-2031.
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