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Global Artificial Intelligence in IoT Market by Component (Platform, Services, Software), Technology (Ml & Deep Learning, Natural Language Processing), Vertical - Forecast 2024-2030

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    Report

  • 195 Pages
  • March 2024
  • Region: Global
  • 360iResearch™
  • ID: 4995443
UP TO OFF until Dec 31st 2024
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The Artificial Intelligence in IoT Market size was estimated at USD 9.17 billion in 2023, USD 10.75 billion in 2024, and is expected to grow at a CAGR of 17.35% to reach USD 28.11 billion by 2030.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in IoT Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in IoT Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in IoT Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services, Inc., Autoplant System India Pvt. Ltd., C3.ai, Inc., General Electric company, Google LLC by Alphabet Inc., Hitachi, Ltd., Imagimob AB, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, PTC Inc., Salesforce.com, Inc., SAP SE, SAS Institute Inc., and Softweb Solutions Inc.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in IoT Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Component
    • Platform
      • Application Management
      • Connectivity Management
      • Device Management
    • Services
      • Deployment & Integration
      • Managed Services
      • Support & Maintenance
      • Training & Consulting
    • Software
      • Data Management
      • Edge Solution
      • Network Bandwidth Management
      • Real-Time Streaming Analytics
      • Remote Monitoring
      • Security
  • Technology
    • Ml & Deep Learning
    • Natural Language Processing
  • Vertical
    • Banking, Financial Services & Insurance
      • Fraud & Risk Management
      • Investment Prediction
      • Payment Transaction Security
    • Energy & Utilities
      • Power Usage Analytics
      • Smart Grid Management
    • Government & Defense
      • Autonomous Defense System
      • Smart Cities
    • Healthcare & Life Sciences
      • Personalized Treatment
      • Remote Patient Monitoring
    • Manufacturing
      • Predictive Maintenance
      • Process Optimization
      • Supply Chain Management
    • Retail
      • Inventory Planning
      • Smart Stores
      • Upsell & Cross-Channel Marketing
    • Transportation & Mobility
      • Asset Tracking & Performance Management
      • Connected Vehicles
      • Fleet Management
  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as

  1. What is the market size and forecast of the Artificial Intelligence in IoT Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in IoT Market?
  3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in IoT Market?
  4. What is the market share of the leading vendors in the Artificial Intelligence in IoT Market?
  5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in IoT Market?

Please note: For this report, the purchase of an Enterprise license allows up to ten worldwide users of an organization access to the report

Please note: This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

With the purchase of this report at the Multi-user License or greater level, you will have access to one hour with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This will need to be used within three months of purchase.

This report also includes a complimentary Excel file with data from the report for purchasers at the Site License or greater level.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Artificial Intelligence in IoT Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Need to manage huge volumes of data without any complexity in operation
5.1.1.2. Growing demand for process automation in diverse sectors
5.1.1.3. Rising need form manufacturing sector attributed to increasing adoption of sensors and integrated devices
5.1.2. Restraints
5.1.2.1. Highly cost of implementation of AI systems
5.1.3. Opportunities
5.1.3.1. Government and private sector funding to encourage AI research and development in IoT
5.1.3.2. Increasing need for real-time processing and decision-making to improve consumer experience
5.1.4. Challenges
5.1.4.1. Dearth of knowledge to expand the application among consumers
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter’s Five Forces Analysis
5.5.1. Threat of New Entrants
5.5.2. Threat of Substitutes
5.5.3. Bargaining Power of Customers
5.5.4. Bargaining Power of Suppliers
5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
6. Artificial Intelligence in IoT Market, by Component
6.1. Introduction
6.2. Platform
6.3.1. Application Management
6.3.2. Connectivity Management
6.3.3. Device Management
6.3. Services
6.4.1. Deployment & Integration
6.4.2. Managed Services
6.4.3. Support & Maintenance
6.4.4. Training & Consulting
6.4. Software
6.5.1. Data Management
6.5.2. Edge Solution
6.5.3. Network Bandwidth Management
6.5.4. Real-Time Streaming Analytics
6.5.5. Remote Monitoring
6.5.6. Security
7. Artificial Intelligence in IoT Market, by Technology
7.1. Introduction
7.2. Ml & Deep Learning
7.3. Natural Language Processing
8. Artificial Intelligence in IoT Market, by Vertical
8.1. Introduction
8.2. Banking, Financial Services & Insurance
8.3.1. Fraud & Risk Management
8.3.2. Investment Prediction
8.3.3. Payment Transaction Security
8.3. Energy & Utilities
8.4.1. Power Usage Analytics
8.4.2. Smart Grid Management
8.4. Government & Defense
8.5.1. Autonomous Defense System
8.5.2. Smart Cities
8.5. Healthcare & Life Sciences
8.6.1. Personalized Treatment
8.6.2. Remote Patient Monitoring
8.6. Manufacturing
8.7.1. Predictive Maintenance
8.7.2. Process Optimization
8.7.3. Supply Chain Management
8.7. Retail
8.8.1. Inventory Planning
8.8.2. Smart Stores
8.8.3. Upsell & Cross-Channel Marketing
8.8. Transportation & Mobility
8.9.1. Asset Tracking & Performance Management
8.9.2. Connected Vehicles
8.9.3. Fleet Management
9. Americas Artificial Intelligence in IoT Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific Artificial Intelligence in IoT Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam
11. Europe, Middle East & Africa Artificial Intelligence in IoT Market
11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom
12. Competitive Landscape
12.1. FPNV Positioning Matrix
12.2. Market Share Analysis, By Key Player
12.3. Competitive Scenario Analysis, By Key Player
13. Competitive Portfolio
13.1. Key Company Profiles
13.1.1. Amazon Web Services, Inc.
13.1.2. Autoplant System India Pvt. Ltd.
13.1.3. C3.ai, Inc.
13.1.4. General Electric company
13.1.5. Google LLC by Alphabet Inc.
13.1.6. Hitachi, Ltd.
13.1.7. Imagimob AB
13.1.8. International Business Machines Corporation
13.1.9. Microsoft Corporation
13.1.10. Oracle Corporation
13.1.11. PTC Inc.
13.1.12. Salesforce.com, Inc.
13.1.13. SAP SE
13.1.14. SAS Institute Inc.
13.1.15. Softweb Solutions Inc.
13.2. Key Product Portfolio
14. Appendix
14.1. Discussion Guide
14.2. License & Pricing
List of Figures
FIGURE 1. ARTIFICIAL INTELLIGENCE IN IOT MARKET RESEARCH PROCESS
FIGURE 2. ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, 2023 VS 2030
FIGURE 3. ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY REGION, 2023 VS 2030 (%)
FIGURE 5. ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. ARTIFICIAL INTELLIGENCE IN IOT MARKET DYNAMICS
FIGURE 7. ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
FIGURE 8. ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 9. ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
FIGURE 10. ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 11. ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY VERTICAL, 2023 VS 2030 (%)
FIGURE 12. ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY VERTICAL, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 13. AMERICAS ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 14. AMERICAS ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 15. UNITED STATES ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 16. UNITED STATES ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 17. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 19. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 20. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 21. ARTIFICIAL INTELLIGENCE IN IOT MARKET, FPNV POSITIONING MATRIX, 2023
FIGURE 22. ARTIFICIAL INTELLIGENCE IN IOT MARKET SHARE, BY KEY PLAYER, 2023

Companies Mentioned

  • Amazon Web Services, Inc.
  • Autoplant System India Pvt. Ltd.
  • C3.ai, Inc.
  • General Electric company
  • Google LLC by Alphabet Inc.
  • Hitachi, Ltd.
  • Imagimob AB
  • International Business Machines Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • PTC Inc.
  • Salesforce.com, Inc.
  • SAP SE
  • SAS Institute Inc.
  • Softweb Solutions Inc.

Methodology

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Table Information