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Artificial Intelligence of Things (AIoT) Market Report Scope & Overview:

The Artificial Intelligence of Things (AIoT) Market is anticipated to develop at a CAGR of 31.2% from 2023 to 2030, from a value of USD 29.3 billion in 2022 to USD 257.23 billion in 2030.

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.

Artificial Intelligence of Things (AIoT) Market Revenue Analysis

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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.

Market Dynamics

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

Impact of the Russia-Ukraine

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.

Key Market Segmentation

By Deployment

  • Edge IoT

  • Cloud-Based

By Application

By Industry

  • Retail

  • Agriculture

  • Logistics

  • BFSI

  • Automotive & Transport

  • Healthcare

  • Oil & Gas

Artificial Intelligence of Things (AIoT) Market Segmentation Analysis

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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.

Regional Analysis

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.

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

Key Players

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

Tencent Cloud-Company Financial Analysis

Company Landscape Analysis

Recent Development

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.

Artificial Intelligence of Things (AIoT) Market Report Scope:
Report Attributes Details
Market Size in 2022  US$ 29.3 Bn
Market Size by 2030  US$ 257.23 Bn
CAGR   CAGR of 31.2% From 2023 to 2030
Base Year  2022
Forecast Period  2023-2030
Historical Data  2020-2021
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.

 

Frequently Asked Questions

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.

  • Increasing Demand for Development of Sustainable Smart Cities to Propel 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.

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.

Secondary Research

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.

Primary Research

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.

Data Bank Validation

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.

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