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AIoT Platforms Market

AIoT Platforms Market Size, Share & Trends Analysis Report By offerings (Solutions (Device Management, Application Management, Connectivity Management), Services (Professional Services (Deployment and Integration, Support and Maintenance, Training and Consulting), Managed Services)) And End-Users (BFSI, Manufacturing, Healthcare, Energy & Utilities, Retail, Transportation & Logistics), Region and Segment Forecasts, 2024-2031

Report ID : 1829 | Published : 2024-04-01 | Pages: 180 | Format: PDF/EXCEL

The Global AIoT Platforms Market Size is valued at USD 5.07 billion in 2023 and is predicted to reach USD 61.7 billion by the year 2031 at a 37.04% CAGR during the forecast period for 2024-2031.

Key Industry Insights & Findings from the Report:

  • The increasing developments in artificial intelligence, an increase in smart city programs, and the popularity of computing at the network’s periphery drive market growth.
  • The widespread implementation of Internet of Things devices and the growing use of surveillance and security systems to detect real-time threats is expected to fuel industry expansion.
  • North America dominated the market and accounted for a global revenue share in 2023.
  • The data privacy concern and high cost of implementation expenses will likely slow the market's growth.

The integration of IoT technology has become crucial for a multitude of organizations seeking to undergo digital transformation. IoT enables businesses to enhance their operations and develop innovative business models. As a result, many enterprises and service providers recognize IoT as the principal driver of digital transformation, providing them with the means to improve operational efficiency. This increasing awareness of IoT's potential as a critical component of business success has led to a rise in its adoption.

AIoT

The expanded adoption of digital technologies and the internet has recently expanded the global artificial intelligence industry. Additionally, technology giants' substantial investments in research and development continue to advance technological breakthroughs across various sectors. The artificial intelligence ops platform market is being propelled by multiple factors, such as the surge in IT connectivity, heightened demand for image recognition systems, and a rise in data volume, which has triggered a greater need for analytics solutions.

Conversely, system disruptions due to virus attacks and limited government initiatives to promote artificial intelligence in IT solutions hinder the market's growth. Major market players are seizing opportunities to acquire advanced technologies. Moreover, the increasing intelligence of devices leads to greater complexity in systems and escalating data volumes. This is driving the adoption of artificial intelligence for IT operations (AIOps). 

Recent Developments:

  • In January 2024, IBM announced that its Watson AI and data platform now supports the widely used open-source Mixtral-8x7B large language model from Mistral AI. This move is part of IBM’s ongoing effort to enable clients to innovate using both IBM’s foundation models and those from other open-source providers.
  • In February 2024, Oracle introduced new features and made the Oracle Cloud Infrastructure Generative AI service generally available. These developments simplify the process by which businesses may benefit from cutting-edge generative AI. 
  • In February 2024, Microsoft is helping thousands of businesses, both large and small, to use artificial intelligence to their advantage. This will allow them to revolutionize their operations, encourage creativity, and boost their bottom line. Regarding artificial intelligence (AI), industry leaders depend on Microsoft for their extensive knowledge, size, and capabilities, such as Copilot across Microsoft products and Azure Open AI, to help them realize their AI dreams. 

Competitive Landscape:

Some of the AIoT Platforms market players are:

  • IBM (US)
  • Sharp Global (Japan)
  • Google(US)
  • AWS (US)
  • Microsoft (US)
  • Oracle (US)
  • HPE (US)
  • Cisco (US)
  • Intel (US)
  • Tencent
  • Cloud (China)
  • NXP (Netherlands)
  • SAS (US)
  • Hitachi (Japan)
  • SAP (Germany)
  • AxiomTek(Taiwan)
  • Autoplant Systems India Pvt. Ltd.(India)
  • Williot (Israel)
  • Cognosos (US)
  • Relayr(US)
  • Terminus Group (China)
  • Semifive(South Korea)
  • Uptake (Chicago)
  • Falkonry(US)
  • Sightmachine (US) 
  • Other Market Players

Market Segmentation:

The AIoT Platforms market is segmented based on offerings and End-Users. Offerings segment includes solutions and services. The Solutions segment comprises Device Management, Application Management, Connectivity Management. Whereas, Services category comprises Professional Services and Managed Services. By End-Users, the AIoT Platforms market is segmented into BFSI, manufacturing, healthcare, energy & utilities, retail, transportation & logistics, and other applications. 

Based On End-Users, The Healthcare Segment Is A Major Contributor To The AIoT Platforms Market

The Healthcare category is expected to hold a major share of the global AIoT Platforms market. By leveraging high-frequency data from Internet of Things (IoT) sensors and computer vision (AI), healthcare organizations can enhance human performance on tasks such as diagnostic or therapeutic decisions, thereby supporting clinicians in treating diseases. Incorporating IoT and AI technologies can also revolutionize routine physical assessments of mobility and balance, streamlining the process while ensuring quantifiable, consistent, and reproducible results. Despite the critical role of refrigerators in storing vaccines such as the COVID-19 vaccine, hospitals, clinics, pharmaceuticals, and academic institutes often lack real-time visibility into their refrigerators' condition and performance. There is a growing need for IoT-based predictive maintenance in vaccine logistics to address this issue to ensure their safe storage and transportation.

The Services Segment Witnessed Growth At A Rapid Rate

The services segment is projected to grow rapidly in the global AIoT Platforms market. AIOT can be applied to connected device data monitoring and analysis to anticipate when maintenance or repairs will be required, minimizing costs and downtime. Lighting, temperature, security, and energy use are just a few systems in houses and buildings that may be controlled and automated with AIOT. Supply chain management, quality assurance, and predictive maintenance are just a few examples of manufacturing and industrial processes that AIOT can be utilized to optimize. These are the main elements behind the market's expansion.

The North America AIoT Platforms Market Holds A Significant Revenue Share In The Region

The North America, AIoT Platforms market is expected to report the most increased market share in revenue shortly. The rapid adoption of AI and IoT technologies across diverse industries, such as automotive and transportation, manufacturing, retail, and healthcare, is a major driving force behind the market growth in this region. North America is a key region for research into developing AI and IoT applications across new end-user industries. In addition, Europe is projected to grow rapidly in the global AIoT Platforms market. The development of platforms for different verticals is being carried out by several organizations, ranging from tech start-ups to industry giants. Significant R&D investments and the continued digital transformation in developed economies are also driving the adoption of platforms in the region.

AIoT Platforms Market Report Scope:

Report Attribute

Specifications

Market size value in 2023

USD 5.07 Bn

Revenue forecast in 2031

USD 61.7 Bn

Growth rate CAGR

CAGR of 37.04% from 2024 to 2031

Quantitative units

Representation of revenue in US$ Billion, and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report coverage

The forecast of revenue, the position of the company, the competitive market statistics, growth prospects, and trends

Segments covered

Offerings And End-Users

Regional scope

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

Country scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; Southeast Asia

Competitive Landscape

IBM (US), Sharp Global (Japan), Google(US), AWS (US), Microsoft (US), Oracle (US), HPE (US), Cisco (US), Intel (US), Tencent, Cloud (China), NXP (Netherlands), SAS (US), Hitachi (Japan), SAP (Germany), AxiomTek(Taiwan), Autoplant Systems India Pvt. Ltd.(India), Williot (Israel), Cognosos (US), Relayr(US), Terminus Group (China), Semifive(South Korea), Uptake (Chicago), Falkonry(US) and Sightmachine (US) .

Customization scope

Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing and available payment methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AIoT Platforms Market Snapshot

Chapter 4. Global AIoT Platforms Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Offerings Estimates & Trend Analysis
5.1. by Offerings & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Offerings:

5.2.1. Solutions

5.2.1.1. Device Management
5.2.1.2. Application Management
5.2.1.3. Connectivity Management

5.2.2. Services

5.2.2.1. Professional Services

5.2.2.1.1. Deployment and Integration
5.2.2.1.2. Support and Maintenance
5.2.2.1.3. Training and Consulting

5.2.2.2. Managed Services

Chapter 6. Market Segmentation 2: by End-users Estimates & Trend Analysis
6.1. by End-users & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End-users:

6.2.1. BFSI
6.2.2. Manufacturing
6.2.3. Healthcare
6.2.4. Energy & Utilities
6.2.5. Retail
6.2.6. Transportation & Logistics
6.2.7. Other Applications

Chapter 7. AIoT Platforms Market Segmentation 3: Regional Estimates & Trend Analysis

7.1. North America

7.1.1. North America AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by Offerings, 2024-2031
7.1.2. North America AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2024-2031
7.1.3. North America AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

7.2. Europe

7.2.1. Europe AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by Offerings, 2024-2031
7.2.2. Europe AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2024-2031
7.2.3. Europe AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

7.3. Asia Pacific

7.3.1. Asia Pacific AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by Offerings, 2024-2031
7.3.2. Asia Pacific AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2024-2031
7.3.3. Asia Pacific AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

7.4. Latin America

7.4.1. Latin America AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by Offerings, 2024-2031
7.4.2. Latin America AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2024-2031
7.4.3. Latin America AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

7.5. Middle East & Africa

7.5.1. Middle East & Africa AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by Offerings, 2024-2031
7.5.2. Middle East & Africa AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by End-users, 2024-2031
7.5.3. Middle East & Africa AIoT Platforms Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 8. Competitive Landscape

8.1. Major Mergers and Acquisitions/Strategic Alliances

8.2. Company Profiles


8.2.1. IBM (US)
8.2.2. Sharp Global (Japan)
8.2.3. Google(US)
8.2.4. AWS (US)
8.2.5. Microsoft (US)
8.2.6. Oracle (US)
8.2.7. HPE (US)
8.2.8. Cisco (US)
8.2.9. Intel (US)
8.2.10. Tencent
8.2.11. Cloud (China)
8.2.12. NXP (Netherlands)
8.2.13. SAS (US)
8.2.14. Hitachi (Japan)
8.2.15. SAP (Germany)
8.2.16. AxiomTek(Taiwan)
8.2.17. Autoplant Systems India Pvt. Ltd.(India)
8.2.18. Williot (Israel)
8.2.19. Cognosos (US)
8.2.20. Relayr(US)
8.2.21. Terminus Group (China)
8.2.22. Semifive(South Korea)
8.2.23. Uptake (Chicago)
8.2.24. Falkonry(US)
8.2.25. Sightmachine (US)
8.2.26. Other Prominent Players

Segmentation of AIoT Platforms Market-

AIoT Platforms Market By Offerings-

  • Solutions
    • Device Management
    • Application Management
    • Connectivity Management
  • Services
    • Professional Services
      • Deployment and Integration
      • Support and Maintenance
      • Training and Consulting
    • Managed Services

AIoT

AIoT Platforms Market By End-Users-

  • BFSI
  • Manufacturing
  • Healthcare
  • Energy & Utilities
  • Retail
  • Transportation & Logistics
  • Other Applications

AIoT Platforms Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

 InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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Frequently Asked Questions

How big is the AIoT Platforms Market?

AIoT Platforms Market expected to grow at a 37.04% CAGR during the forecast period for 2024-2031

IBM (US), Sharp Global (Japan), Google(US), AWS (US), Microsoft (US), Oracle (US), HPE (US), Cisco (US), Intel (US), Tencent, Cloud (China), Other mar

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