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

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


The Artificial Intelligence in IoT Market size was estimated at USD 9.17 billion in 2023 and expected to reach USD 10.75 billion in 2024, at a CAGR 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?


    Note: PDF & Excel + Online Access - 1 Year

  • 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
    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

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