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AI IoT Platform Market Trends and Forecast

The future of the global AI IoT platform market looks promising with opportunities in the manufacturing, health care, and energy & utility markets. The global AI IoT platform market is expected to grow with a CAGR of 24.8% from 2024 to 2030. The major drivers for this market are increasing adoption of AI for data analysis & decision-making, rising focus on automation & optimization across industries, and growing demand for connected devices & smart technologies.
• Lucintel forecasts that intelligent terminal product is expected to witness higher growth over the forecast period.
• Within this market, manufacturing is expected to witness the highest growth.
• APAC is expected to witness the highest growth over the forecast period.

AI IoT Platform Market Trends and Forecast

Country Wise Outlook for the AI IoT Platform Market

• United States: IBM announced its partnership with Verizon to integrate AI with IoT solutions for enterprise 5G applications, targeting enhanced connectivity and smart city infrastructure.

• China: Huawei launched an AIoT ecosystem for smart homes, aiming to connect over 100 million devices by 2025, supported by government initiatives for smart city projects.

• Germany: Siemens unveiled its new AIoT platform, Mindsphere, to support industrial automation and energy efficiency, aligning with GermanyÄX%$%Xs Industry 4.0 strategy.

• India: Tata Consultancy Services (TCS) announced its AI-driven IoT framework to enhance agricultural productivity, in collaboration with the Indian governmentÄX%$%Xs Digital India initiative.











A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.

AI IoT Platform Market by Segment

AI IoT Platform Market by Segment

The study includes a forecast for the global AI IoT platform market by type, application, and region.

AI IoT Platform Market by Type [Value from 2018 to 2030]:


• Intelligent Terminal Products
• Technical Services

AI IoT Platform Market by Application [Value from 2018 to 2030]:


• Manufacturing
• Health Care
• Energy & Utilities
• Others

AI IoT Platform Market by Region [Value from 2018 to 2030]:


• North America
• Europe
• Asia Pacific
• The Rest of the World

List of AI IoT Platform Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI IoT platform companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI IoT platform companies profiled in this report include-
• IBM
• Sharp Global
• Google
• AWS
• Microsoft
• Oracle
• HPE
• Cisco
• Intel
• Tencent Cloud

Recent Development in the AI IoT Platform Market

• IBM: IBM has partnered with Verizon to integrate AI with IoT solutions for enterprise 5G applications. This initiative aims to enhance connectivity and provide advanced solutions for smart city infrastructure and industrial applications.

• Huawei: Huawei has launched an extensive AIoT ecosystem targeting smart homes. This initiative aims to connect over 100 million devices by 2025, supported by the Chinese government’s aggressive push towards smart city projects and digital infrastructure.

• Siemens: Siemens introduced its AIoT platform, Mindsphere, which focuses on industrial automation and energy efficiency. This platform is part of Germany’s Industry 4.0 strategy, aiming to enhance manufacturing processes and drive digital transformation in industries.

• Tata Consultancy Services (TCS): TCS announced an AI-driven IoT framework to enhance agricultural productivity in India. This initiative is in collaboration with the Indian government’s Digital India initiative, aiming to leverage technology to improve farming practices and productivity.

• Microsoft: Microsoft has expanded its Azure IoT platform with new AI capabilities, aiming to provide comprehensive solutions for industries such as healthcare, manufacturing, and retail. This development focuses on improving data analytics, predictive maintenance, and operational efficiency for businesses globally.









Features of the Global AI IoT Platform Market

Market Size Estimates: AI IoT platform market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI IoT platform market size by type, application, and region in terms of value ($B).
Regional Analysis: AI IoT platform market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI IoT platform market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI IoT platform market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q1. What is the growth forecast for AI IoT platform market?
Answer: The global AI IoT platform market is expected to grow with a CAGR of 24.8% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI IoT platform market?
Answer: The major drivers for this market are increasing adoption of AI for data analysis & decision-making, rising focus on automation & optimization across industries, and growing demand for connected devices & smart technologies.
Q3. What are the major segments for AI IoT platform market?
Answer: The future of the AI IoT platform market looks promising with opportunities in the manufacturing, health care, and energy & utility markets.
Q4. Who are the key AI IoT platform market companies?
Answer: Some of the key AI IoT platform companies are as follows:
• IBM
• Sharp Global
• Google
• AWS
• Microsoft
• Oracle
• HPE
• Cisco
• Intel
• Tencent Cloud
Q5. Which AI IoT platform market segment will be the largest in future?
Answer: Lucintel forecasts that intelligent terminal product is expected to witness higher growth over the forecast period.
Q6. In AI IoT platform market, which region is expected to be the largest in next 5 years?
Answer: APAC is expected to witness the highest growth over the forecast period.
Q7. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the AI IoT platform market by type (intelligent terminal products and technical services), application (manufacturing, health care, energy & utilities, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

For any questions related to AI IoT Platform Market, AI IoT Platform Market Size, AI IoT Platform Market Growth, AI IoT Platform Market Analysis, AI IoT Platform Market Report, AI IoT Platform Market Share, AI IoT Platform Market Trends, AI IoT Platform Market Forecast, AI IoT Platform Market Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.
Table of Contents

1. Executive Summary
2. Global AI IoT Platform Market : Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges 
3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global AI IoT Platform Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global AI IoT Platform Market by Type
3.3.1: Intelligent Terminal Products
3.3.2: Technical Services
3.4: Global AI IoT Platform Market by Application
3.4.1: Manufacturing
3.4.2: Health Care
3.4.3: Energy & Utilities
3.4.4: Others
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global AI IoT Platform Market by Region
4.2: North American AI IoT Platform Market
4.2.1: North American AI IoT Platform Market by Type: Intelligent Terminal Products and Technical Services
4.2.2: North American AI IoT Platform Market by Application: Manufacturing, Health Care, Energy & Utilities, and Others
4.3: European AI IoT Platform Market
4.3.1: European AI IoT Platform Market by Type: Intelligent Terminal Products and Technical Services
4.3.2: European AI IoT Platform Market by Application: Manufacturing, Health Care, Energy & Utilities, and Others
4.4: APAC AI IoT Platform Market
4.4.1: APAC AI IoT Platform Market by Type: Intelligent Terminal Products and Technical Services
4.4.2: APAC AI IoT Platform Market by Application: Manufacturing, Health Care, Energy & Utilities, and Others
4.5: ROW AI IoT Platform Market
4.5.1: ROW AI IoT Platform Market by Type: Intelligent Terminal Products and Technical Services
4.5.2: ROW AI IoT Platform Market by Application: Manufacturing, Health Care, Energy & Utilities, and Others
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global AI IoT Platform Market by Type
6.1.2: Growth Opportunities for the Global AI IoT Platform Market by Application
6.1.3: Growth Opportunities for the Global AI IoT Platform Market by Region
6.2: Emerging Trends in the Global AI IoT Platform Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global AI IoT Platform Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI IoT Platform Market
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: IBM
7.2: Sharp Global
7.3: Google
7.4: AWS
7.5: Microsoft
7.6: Oracle
7.7: HPE
7.8: Cisco
7.9: Intel
7.10: Tencent Cloud
.

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A 150 Page Report
Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

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