
Global AI in IoT Market Research Report 2024(Status and Outlook)
Description
Global AI in IoT Market Research Report 2024(Status and Outlook)
Report Overview:
AI applications for IoT enable companies to avoid unplanned downtime, increase operating efficiency, spawn new products and services, and enhance risk management.
The Global AI in IoT Market Size was estimated at USD 1676.04 million in 2023 and is projected to reach USD 3816.50 million by 2029, exhibiting a CAGR of 14.70% during the forecast period.
This report provides a deep insight into the global AI in IoT market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, Porter’s five forces analysis, value chain analysis, etc.
The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global AI in IoT Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.
In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the AI in IoT market in any manner.
Global AI in IoT Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Company
IBM
Microsoft
PTC
AWS
Oracle
GE
Salesforce
SAP
Hitachi
Uptake
SAS
Autoplant Systems India Pvt. Ltd.
Kairos
Softweb Solutions
Arundo
C3 IoT
Anagog
Thingstel
Imagimob
Market Segmentation (by Type)
Platforms
Software Solutions
Services
Market Segmentation (by Application)
Manufacturing
Energy and Utilities
Transportation and Mobility
Banking, Financial Services, and Insurance
Government and Defense
Retail
Others
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the AI in IoT Market
Overview of the regional outlook of the AI in IoT Market:
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value (USD Billion) data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the AI in IoT Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the Market's Competitive Landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 10 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 11 provides a quantitative analysis of the market size and development potential of each market segment (product type and application) in the next five years.
Chapter 12 is the main points and conclusions of the report.
Table of Contents
127 Pages
- 1 Research Methodology and Statistical Scope
- 1.1 Market Definition and Statistical Scope of AI in IoT
- 1.2 Key Market Segments
- 1.2.1 AI in IoT Segment by Type
- 1.2.2 AI in IoT Segment by Application
- 1.3 Methodology & Sources of Information
- 1.3.1 Research Methodology
- 1.3.2 Research Process
- 1.3.3 Market Breakdown and Data Triangulation
- 1.3.4 Base Year
- 1.3.5 Report Assumptions & Caveats
- 2 AI in IoT Market Overview
- 2.1 Global Market Overview
- 2.2 Market Segment Executive Summary
- 2.3 Global Market Size by Region
- 3 AI in IoT Market Competitive Landscape
- 3.1 Global AI in IoT Revenue Market Share by Company (2019-2024)
- 3.2 AI in IoT Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
- 3.3 Company AI in IoT Market Size Sites, Area Served, Product Type
- 3.4 AI in IoT Market Competitive Situation and Trends
- 3.4.1 AI in IoT Market Concentration Rate
- 3.4.2 Global 5 and 10 Largest AI in IoT Players Market Share by Revenue
- 3.4.3 Mergers & Acquisitions, Expansion
- 4 AI in IoT Value Chain Analysis
- 4.1 AI in IoT Value Chain Analysis
- 4.2 Midstream Market Analysis
- 4.3 Downstream Customer Analysis
- 5 The Development and Dynamics of AI in IoT Market
- 5.1 Key Development Trends
- 5.2 Driving Factors
- 5.3 Market Challenges
- 5.4 Market Restraints
- 5.5 Industry News
- 5.5.1 Mergers & Acquisitions
- 5.5.2 Expansions
- 5.5.3 Collaboration/Supply Contracts
- 5.6 Industry Policies
- 6 AI in IoT Market Segmentation by Type
- 6.1 Evaluation Matrix of Segment Market Development Potential (Type)
- 6.2 Global AI in IoT Market Size Market Share by Type (2019-2024)
- 6.3 Global AI in IoT Market Size Growth Rate by Type (2019-2024)
- 7 AI in IoT Market Segmentation by Application
- 7.1 Evaluation Matrix of Segment Market Development Potential (Application)
- 7.2 Global AI in IoT Market Size (M USD) by Application (2019-2024)
- 7.3 Global AI in IoT Market Size Growth Rate by Application (2019-2024)
- 8 AI in IoT Market Segmentation by Region
- 8.1 Global AI in IoT Market Size by Region
- 8.1.1 Global AI in IoT Market Size by Region
- 8.1.2 Global AI in IoT Market Size Market Share by Region
- 8.2 North America
- 8.2.1 North America AI in IoT Market Size by Country
- 8.2.2 U.S.
- 8.2.3 Canada
- 8.2.4 Mexico
- 8.3 Europe
- 8.3.1 Europe AI in IoT Market Size by Country
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 U.K.
- 8.3.5 Italy
- 8.3.6 Russia
- 8.4 Asia Pacific
- 8.4.1 Asia Pacific AI in IoT Market Size by Region
- 8.4.2 China
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 India
- 8.4.6 Southeast Asia
- 8.5 South America
- 8.5.1 South America AI in IoT Market Size by Country
- 8.5.2 Brazil
- 8.5.3 Argentina
- 8.5.4 Columbia
- 8.6 Middle East and Africa
- 8.6.1 Middle East and Africa AI in IoT Market Size by Region
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Egypt
- 8.6.5 Nigeria
- 8.6.6 South Africa
- 9 Key Companies Profile
- 9.1 IBM
- 9.1.1 IBM AI in IoT Basic Information
- 9.1.2 IBM AI in IoT Product Overview
- 9.1.3 IBM AI in IoT Product Market Performance
- 9.1.4 IBM AI in IoT SWOT Analysis
- 9.1.5 IBM Business Overview
- 9.1.6 IBM Recent Developments
- 9.2 Microsoft
- 9.2.1 Microsoft AI in IoT Basic Information
- 9.2.2 Microsoft AI in IoT Product Overview
- 9.2.3 Microsoft AI in IoT Product Market Performance
- 9.2.4 IBM AI in IoT SWOT Analysis
- 9.2.5 Microsoft Business Overview
- 9.2.6 Microsoft Recent Developments
- 9.3 Google
- 9.3.1 Google AI in IoT Basic Information
- 9.3.2 Google AI in IoT Product Overview
- 9.3.3 Google AI in IoT Product Market Performance
- 9.3.4 IBM AI in IoT SWOT Analysis
- 9.3.5 Google Business Overview
- 9.3.6 Google Recent Developments
- 9.4 PTC
- 9.4.1 PTC AI in IoT Basic Information
- 9.4.2 PTC AI in IoT Product Overview
- 9.4.3 PTC AI in IoT Product Market Performance
- 9.4.4 PTC Business Overview
- 9.4.5 PTC Recent Developments
- 9.5 AWS
- 9.5.1 AWS AI in IoT Basic Information
- 9.5.2 AWS AI in IoT Product Overview
- 9.5.3 AWS AI in IoT Product Market Performance
- 9.5.4 AWS Business Overview
- 9.5.5 AWS Recent Developments
- 9.6 Oracle
- 9.6.1 Oracle AI in IoT Basic Information
- 9.6.2 Oracle AI in IoT Product Overview
- 9.6.3 Oracle AI in IoT Product Market Performance
- 9.6.4 Oracle Business Overview
- 9.6.5 Oracle Recent Developments
- 9.7 GE
- 9.7.1 GE AI in IoT Basic Information
- 9.7.2 GE AI in IoT Product Overview
- 9.7.3 GE AI in IoT Product Market Performance
- 9.7.4 GE Business Overview
- 9.7.5 GE Recent Developments
- 9.8 Salesforce
- 9.8.1 Salesforce AI in IoT Basic Information
- 9.8.2 Salesforce AI in IoT Product Overview
- 9.8.3 Salesforce AI in IoT Product Market Performance
- 9.8.4 Salesforce Business Overview
- 9.8.5 Salesforce Recent Developments
- 9.9 SAP
- 9.9.1 SAP AI in IoT Basic Information
- 9.9.2 SAP AI in IoT Product Overview
- 9.9.3 SAP AI in IoT Product Market Performance
- 9.9.4 SAP Business Overview
- 9.9.5 SAP Recent Developments
- 9.10 Hitachi
- 9.10.1 Hitachi AI in IoT Basic Information
- 9.10.2 Hitachi AI in IoT Product Overview
- 9.10.3 Hitachi AI in IoT Product Market Performance
- 9.10.4 Hitachi Business Overview
- 9.10.5 Hitachi Recent Developments
- 9.11 Uptake
- 9.11.1 Uptake AI in IoT Basic Information
- 9.11.2 Uptake AI in IoT Product Overview
- 9.11.3 Uptake AI in IoT Product Market Performance
- 9.11.4 Uptake Business Overview
- 9.11.5 Uptake Recent Developments
- 9.12 SAS
- 9.12.1 SAS AI in IoT Basic Information
- 9.12.2 SAS AI in IoT Product Overview
- 9.12.3 SAS AI in IoT Product Market Performance
- 9.12.4 SAS Business Overview
- 9.12.5 SAS Recent Developments
- 9.13 Autoplant Systems India Pvt. Ltd.
- 9.13.1 Autoplant Systems India Pvt. Ltd. AI in IoT Basic Information
- 9.13.2 Autoplant Systems India Pvt. Ltd. AI in IoT Product Overview
- 9.13.3 Autoplant Systems India Pvt. Ltd. AI in IoT Product Market Performance
- 9.13.4 Autoplant Systems India Pvt. Ltd. Business Overview
- 9.13.5 Autoplant Systems India Pvt. Ltd. Recent Developments
- 9.14 Kairos
- 9.14.1 Kairos AI in IoT Basic Information
- 9.14.2 Kairos AI in IoT Product Overview
- 9.14.3 Kairos AI in IoT Product Market Performance
- 9.14.4 Kairos Business Overview
- 9.14.5 Kairos Recent Developments
- 9.15 Softweb Solutions
- 9.15.1 Softweb Solutions AI in IoT Basic Information
- 9.15.2 Softweb Solutions AI in IoT Product Overview
- 9.15.3 Softweb Solutions AI in IoT Product Market Performance
- 9.15.4 Softweb Solutions Business Overview
- 9.15.5 Softweb Solutions Recent Developments
- 9.16 Arundo
- 9.16.1 Arundo AI in IoT Basic Information
- 9.16.2 Arundo AI in IoT Product Overview
- 9.16.3 Arundo AI in IoT Product Market Performance
- 9.16.4 Arundo Business Overview
- 9.16.5 Arundo Recent Developments
- 9.17 C3 IoT
- 9.17.1 C3 IoT AI in IoT Basic Information
- 9.17.2 C3 IoT AI in IoT Product Overview
- 9.17.3 C3 IoT AI in IoT Product Market Performance
- 9.17.4 C3 IoT Business Overview
- 9.17.5 C3 IoT Recent Developments
- 9.18 Anagog
- 9.18.1 Anagog AI in IoT Basic Information
- 9.18.2 Anagog AI in IoT Product Overview
- 9.18.3 Anagog AI in IoT Product Market Performance
- 9.18.4 Anagog Business Overview
- 9.18.5 Anagog Recent Developments
- 9.19 Thingstel
- 9.19.1 Thingstel AI in IoT Basic Information
- 9.19.2 Thingstel AI in IoT Product Overview
- 9.19.3 Thingstel AI in IoT Product Market Performance
- 9.19.4 Thingstel Business Overview
- 9.19.5 Thingstel Recent Developments
- 9.20 Imagimob
- 9.20.1 Imagimob AI in IoT Basic Information
- 9.20.2 Imagimob AI in IoT Product Overview
- 9.20.3 Imagimob AI in IoT Product Market Performance
- 9.20.4 Imagimob Business Overview
- 9.20.5 Imagimob Recent Developments
- 10 AI in IoT Regional Market Forecast
- 10.1 Global AI in IoT Market Size Forecast
- 10.2 Global AI in IoT Market Forecast by Region
- 10.2.1 North America Market Size Forecast by Country
- 10.2.2 Europe AI in IoT Market Size Forecast by Country
- 10.2.3 Asia Pacific AI in IoT Market Size Forecast by Region
- 10.2.4 South America AI in IoT Market Size Forecast by Country
- 10.2.5 Middle East and Africa Forecasted Consumption of AI in IoT by Country
- 11 Forecast Market by Type and by Application (2025-2030)
- 11.1 Global AI in IoT Market Forecast by Type (2025-2030)
- 11.2 Global AI in IoT Market Forecast by Application (2025-2030)
- 12 Conclusion and Key Findings
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