Product Code: MRR-031BF22F9480
[195 Pages Report] 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.
Global Artificial Intelligence in IoT Market
KEY MARKET STATISTICS |
Base Year [2023] |
USD 9.17 billion |
Estimated Year [2024] |
USD 10.75 billion |
Forecast Year [2030] |
USD 28.11 billion |
CAGR (%) |
17.35% |
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?
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