The Global AI In IoT Market size is expected to reach $66.1 billion by 2031, rising at a market growth of 24.5% CAGR during the forecast period.
AI in IoT enables collecting and analyzing customer behavior data from various touchpoints, such as online browsing and in-store interactions. This data helps deliver personalized product recommendations and promotions, enhancing the shopping experience. IoT devices like smart mirrors and interactive kiosks powered by AI can provide personalized product suggestions based on customer preferences and previous purchases, leading to a more engaging and customized shopping experience. Thus, the retail & e-commerce segment procured 10% revenue share in the AI in IoT market in 2023.
The major strategies followed by the market participants are Partnerships and Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In 2024, August, AT&T's IoT connectivity and network APIs will integrate with Oracle's Enterprise Communications Platform (ECP), offering Oracle's industry cloud clients a unified way to manage IoT devices on AT&T's network. This solution simplifies management by combining IoT edge application management with seamless network connectivity. In 2024, Microsoft Corporation teamed up with Lumen Technologies, a publicly traded company specializing in telecommunications and technology services to enhance Lumen's digital transformation using Microsoft Cloud. Microsoft will leverage Lumen's network to support increased demand for its AI-driven data centers. This collaboration emphasizes both current and future network infrastructure to support a wide range of workloads and empower global organizations.
Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the AI In IoT Market. Companies such as Amazon Web Services, Inc, Oracle Corporation, Cisco Systems, Inc. are some of the key innovators in AI In IoT Market. In July, 2024, Microsoft Corporation teamed up with Lumen Technologies, a publicly traded company specializing in telecommunications and technology services to enhance Lumen's digital transformation using Microsoft Cloud. Microsoft will leverage Lumen's network to support increased demand for its AI-driven data centers. This collaboration emphasizes both current and future network infrastructure to support a wide range of workloads and empower global organizations.
Market Growth Factors
AI integration with IoT enables the automation of workflows, optimizing tasks such as inventory management, predictive maintenance, and quality control. This leads to faster and more accurate execution of tasks, enhancing overall operational efficiency.
Additionally, Devices can automatically detect issues and provide immediate solutions or alerts to support teams, leading to faster resolution of problems and improved customer satisfaction. Thus, the growing need for real-time data analytics propels the market's growth.
Market Restraining Factors
Organizations may need to employ or contract professionals with advanced skills in AI, data analytics, and IoT technology. The cost of hiring and retaining such talent can add to the overall maintenance expenses, further increasing the total cost of ownership. Hence, high implementation and maintenance costs are impeding the market's growth.
The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Partnerships, Collaborations & Agreements.
Technology Outlook
On the basis of technology, the market is segmented into machine learning & deep learning and natural language processing (NLP). The machine learning & deep learning segment recorded 76% revenue share in the market in 2023. Machine learning and deep learning algorithms are highly effective at processing and analyzing vast amounts of data generated by IoT devices.
Component Outlook
Based on component, the market is divided into platform, software, and service. The software segment attained 32% revenue share in the market in 2023. AI in IoT software is critical for processing and analyzing the massive amounts of data IoT devices generate.
Vertical Outlook
By industry vertical, the market is divided into BFSI, IT & telecom, retail & e-commerce, manufacturing, healthcare, energy & utilities, transportation & mobility, and others. In 2023, the IT & telecom segment registered 17% revenue share in the market. AI in IoT enables real-time network performance monitoring, allowing IT & Telecom companies to quickly identify and address bottlenecks, outages, and performance degradation.
By Regional Analysis
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2023, the Asia Pacific region generated 27% revenue share in the market. The Asia Pacific region is experiencing rapid urbanization, particularly in China, India, and Southeast Asia.
Market Competition and Attributes
The AI in IoT market is fiercely competitive, driven by rapid technological advancements and increasing demand for smart devices. Key attributes of the market include real-time data processing, edge computing, and advanced analytics. Major players emphasize enhancing security, scalability, and integration capabilities to meet diverse industry needs. Innovations in machine learning, data management, and predictive maintenance are critical for staying ahead. Companies are also focusing on seamless interoperability and reducing latency to improve overall efficiency and user experience in connected environments.
AI in IoT Market Report Coverage:
Report Attribute Details
Market size value in 2023 USD 11.9 Billion
Market size forecast in 2031 USD 66.1 Billion
Base Year 2023
Historical period 2020 to 2022
Forecast Period 2024 to 2031
Revenue Growth Rate CAGR of 24.5% from 2024 to 2031
Number of Pages 290
Tables 396
Report Coverage Market Trends, Revenue Estimation and Forecast, Segmentation Analysis, Regional and Country Breakdown, Competitive Landscape, Market Share Analysis, Porter's 5 Forces Analysis, Company Profiling, Companies Strategic Developments, SWOT Analysis, Winning Imperatives
Segments Covered Component, Technology, Vertical, Region
Country Scope * North America (US, Canada, Mexico, and Rest of North America)
- Europe (Germany, UK, France, Russia, Spain, Italy, and Rest of Europe)
- Asia Pacific (Japan, China, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific)
- LAMEA (Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA)
Companies Included Salesforce Inc., Softweb Solutions Inc., Amazon Web Services, Inc. (Amazon.com, Inc.), SAP SE, SAS Institute Inc., Hitachi Digital Services, LLC (Hitachi Ltd.), Oracle Corporation, Google LLC, PTC, Inc., IBM Corporation, Cisco Systems, Inc., Microsoft Corporation and Siemens AG
Recent Strategies Deployed in the Market
- Mar-2024: Siemens AG announced the acquisition of EBM-Papst, a company designing and manufacturing ventilation and drive engineering products that want to take the industrial drive technology (IDT) business to enhance its industrial automation portfolio, including mobile robots and driverless vehicles. This acquisition will allow Siemens to access new business opportunities and customers in the fast-growing market for intelligent, battery-powered drive solutions in intralogistics and mobile robotics.
- Oct-2023: Enlighted, a Siemens-owned property technology leader, has enhanced its Location Services solution by integrating artificial intelligence (AI), boosting asset tracking accuracy. This Real-Time Location System (RTLS) monitors assets and badges within buildings using Enlighted's intelligent lighting infrastructure. Additionally, two new partners have joined the Enlighted AI partner ecosystem.
- Oct-2023: Siemens AG partnered with Microsoft Corporation, a multinational technology company to enhance industries globally with generative AI. They are launching Siemens Industrial Copilot, an AI-powered assistant designed to improve human-machine collaboration in manufacturing. The partnership will also aim to expand and develop additional copilots for the manufacturing, infrastructure, transportation, and healthcare sectors.
- Jun-2023: Siemens AG teamed up with Intrinsic, an Alphabet company to integrate Intrinsic's AI-driven robotics software with Siemens Digital Industries' open automation portfolio. This collaboration aims to accelerate the use of AI in industrial robotics, leveraging Intrinsic's open approach and Siemens' expertise in automating industrial production.
- Mar-2023: Siemens Smart Infrastructure unveiled Connect Box, an IoT solution within the Siemens Xcelerator portfolio, for managing small to medium-sized buildings. This user-friendly tool enhances building performance, potentially boosting energy efficiency by up to 30% and improving indoor air quality in schools, retail shops, and offices.
List of Key Companies Profiled
- Salesforce, Inc.
- Softweb Solutions Inc.
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- SAP SE
- SAS Institute Inc.
- Hitachi Digital Services, LLC (Hitachi Ltd.)
- Oracle Corporation
- Google LLC
- PTC, Inc.
- IBM Corporation
- Cisco Systems, Inc.
- Microsoft Corporation
- Siemens AG
Global AI In IoT Market Report Segmentation
By Technology
- Machine Learning & Deep Learning
- Natural Language Processing (NLP)
By Component
- Platform
- Software
- Services
By Vertical
- Manufacturing
- Healthcare
- BFSI
- IT & Telecom
- Retail & E-commerce
- Energy & Utilities
- Transportation & Logistics
- Others
By Geography
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Global AI in IoT Market, by Technology
- 1.4.2 Global AI in IoT Market, by Component
- 1.4.3 Global AI in IoT Market, by Vertical
- 1.4.4 Global AI in IoT Market, by Geography
- 1.5 Methodology for the research
Chapter 2. Market at a Glance
Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
- 3.2.3 Market Opportunities
- 3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
- 4.1 KBV Cardinal Matrix
- 4.2 Recent Industry Wide Strategic Developments
- 4.2.1 Partnerships, Collaborations and Agreements
- 4.2.2 Product Launches and Product Expansions
- 4.2.3 Acquisition and Mergers
- 4.3 Market Share Analysis, 2023
- 4.4 Top Winning Strategies
- 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
- 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2021, Feb - 2024, Aug) Leading Players
- 4.5 Porter Five Forces Analysis
Chapter 5. Global AI in IoT Market by Technology
- 5.1 Global Machine Learning & Deep Learning Market by Region
- 5.2 Global Natural Language Processing (NLP) Market by Region
Chapter 6. Global AI in IoT Market by Component
- 6.1 Global Platform Market by Region
- 6.2 Global Software Market by Region
- 6.3 Global Services Market by Region
Chapter 7. Global AI in IoT Market by Vertical
- 7.1 Global Manufacturing Market by Region
- 7.2 Global Healthcare Market by Region
- 7.3 Global BFSI Market by Region
- 7.4 Global IT & Telecom Market by Region
- 7.5 Global Retail & E-commerce Market by Region
- 7.6 Global Energy & Utilities Market by Region
- 7.7 Global Transportation & Logistics Market by Region
- 7.8 Global Others Market by Region
Chapter 8. Global AI in IoT Market by Region
- 8.1 North America AI in IoT Market
- 8.1.1 North America AI in IoT Market by Technology
- 8.1.1.1 North America Machine Learning & Deep Learning Market by Region
- 8.1.1.2 North America Natural Language Processing (NLP) Market by Region
- 8.1.2 North America AI in IoT Market by Component
- 8.1.2.1 North America Platform Market by Country
- 8.1.2.2 North America Software Market by Country
- 8.1.2.3 North America Services Market by Country
- 8.1.3 North America AI in IoT Market by Vertical
- 8.1.3.1 North America Manufacturing Market by Country
- 8.1.3.2 North America Healthcare Market by Country
- 8.1.3.3 North America BFSI Market by Country
- 8.1.3.4 North America IT & Telecom Market by Country
- 8.1.3.5 North America Retail & E-commerce Market by Country
- 8.1.3.6 North America Energy & Utilities Market by Country
- 8.1.3.7 North America Transportation & Logistics Market by Country
- 8.1.3.8 North America Others Market by Country
- 8.1.4 North America AI in IoT Market by Country
- 8.1.4.1 US AI in IoT Market
- 8.1.4.1.1 US AI in IoT Market by Technology
- 8.1.4.1.2 US AI in IoT Market by Component
- 8.1.4.1.3 US AI in IoT Market by Vertical
- 8.1.4.2 Canada AI in IoT Market
- 8.1.4.2.1 Canada AI in IoT Market by Technology
- 8.1.4.2.2 Canada AI in IoT Market by Component
- 8.1.4.2.3 Canada AI in IoT Market by Vertical
- 8.1.4.3 Mexico AI in IoT Market
- 8.1.4.3.1 Mexico AI in IoT Market by Technology
- 8.1.4.3.2 Mexico AI in IoT Market by Component
- 8.1.4.3.3 Mexico AI in IoT Market by Vertical
- 8.1.4.4 Rest of North America AI in IoT Market
- 8.1.4.4.1 Rest of North America AI in IoT Market by Technology
- 8.1.4.4.2 Rest of North America AI in IoT Market by Component
- 8.1.4.4.3 Rest of North America AI in IoT Market by Vertical
- 8.2 Europe AI in IoT Market
- 8.2.1 Europe AI in IoT Market by Technology
- 8.2.1.1 Europe Machine Learning & Deep Learning Market by Country
- 8.2.1.2 Europe Natural Language Processing (NLP) Market by Country
- 8.2.2 Europe AI in IoT Market by Component
- 8.2.2.1 Europe Platform Market by Country
- 8.2.2.2 Europe Software Market by Country
- 8.2.2.3 Europe Services Market by Country
- 8.2.3 Europe AI in IoT Market by Vertical
- 8.2.3.1 Europe Manufacturing Market by Country
- 8.2.3.2 Europe Healthcare Market by Country
- 8.2.3.3 Europe BFSI Market by Country
- 8.2.3.4 Europe IT & Telecom Market by Country
- 8.2.3.5 Europe Retail & E-commerce Market by Country
- 8.2.3.6 Europe Energy & Utilities Market by Country
- 8.2.3.7 Europe Transportation & Logistics Market by Country
- 8.2.3.8 Europe Others Market by Country
- 8.2.4 Europe AI in IoT Market by Country
- 8.2.4.1 Germany AI in IoT Market
- 8.2.4.1.1 Germany AI in IoT Market by Technology
- 8.2.4.1.2 Germany AI in IoT Market by Component
- 8.2.4.1.3 Germany AI in IoT Market by Vertical
- 8.2.4.2 UK AI in IoT Market
- 8.2.4.2.1 UK AI in IoT Market by Technology
- 8.2.4.2.2 UK AI in IoT Market by Component
- 8.2.4.2.3 UK AI in IoT Market by Vertical
- 8.2.4.3 France AI in IoT Market
- 8.2.4.3.1 France AI in IoT Market by Technology
- 8.2.4.3.2 France AI in IoT Market by Component
- 8.2.4.3.3 France AI in IoT Market by Vertical
- 8.2.4.4 Russia AI in IoT Market
- 8.2.4.4.1 Russia AI in IoT Market by Technology
- 8.2.4.4.2 Russia AI in IoT Market by Component
- 8.2.4.4.3 Russia AI in IoT Market by Vertical
- 8.2.4.5 Spain AI in IoT Market
- 8.2.4.5.1 Spain AI in IoT Market by Technology
- 8.2.4.5.2 Spain AI in IoT Market by Component
- 8.2.4.5.3 Spain AI in IoT Market by Vertical
- 8.2.4.6 Italy AI in IoT Market
- 8.2.4.6.1 Italy AI in IoT Market by Technology
- 8.2.4.6.2 Italy AI in IoT Market by Component
- 8.2.4.6.3 Italy AI in IoT Market by Vertical
- 8.2.4.7 Rest of Europe AI in IoT Market
- 8.2.4.7.1 Rest of Europe AI in IoT Market by Technology
- 8.2.4.7.2 Rest of Europe AI in IoT Market by Component
- 8.2.4.7.3 Rest of Europe AI in IoT Market by Vertical
- 8.3 Asia Pacific AI in IoT Market
- 8.3.1 Asia Pacific AI in IoT Market by Technology
- 8.3.1.1 Asia Pacific Machine Learning & Deep Learning Market by Country
- 8.3.1.2 Asia Pacific Natural Language Processing (NLP) Market by Country
- 8.3.2 Asia Pacific AI in IoT Market by Component
- 8.3.2.1 Asia Pacific Platform Market by Country
- 8.3.2.2 Asia Pacific Software Market by Country
- 8.3.2.3 Asia Pacific Services Market by Country
- 8.3.3 Asia Pacific AI in IoT Market by Vertical
- 8.3.3.1 Asia Pacific Manufacturing Market by Country
- 8.3.3.2 Asia Pacific Healthcare Market by Country
- 8.3.3.3 Asia Pacific BFSI Market by Country
- 8.3.3.4 Asia Pacific IT & Telecom Market by Country
- 8.3.3.5 Asia Pacific Retail & E-commerce Market by Country
- 8.3.3.6 Asia Pacific Energy & Utilities Market by Country
- 8.3.3.7 Asia Pacific Transportation & Logistics Market by Country
- 8.3.3.8 Asia Pacific Others Market by Country
- 8.3.4 Asia Pacific AI in IoT Market by Country
- 8.3.4.1 China AI in IoT Market
- 8.3.4.1.1 China AI in IoT Market by Technology
- 8.3.4.1.2 China AI in IoT Market by Component
- 8.3.4.1.3 China AI in IoT Market by Vertical
- 8.3.4.2 Japan AI in IoT Market
- 8.3.4.2.1 Japan AI in IoT Market by Technology
- 8.3.4.2.2 Japan AI in IoT Market by Component
- 8.3.4.2.3 Japan AI in IoT Market by Vertical
- 8.3.4.3 India AI in IoT Market
- 8.3.4.3.1 India AI in IoT Market by Technology
- 8.3.4.3.2 India AI in IoT Market by Component
- 8.3.4.3.3 India AI in IoT Market by Vertical
- 8.3.4.4 South Korea AI in IoT Market
- 8.3.4.4.1 South Korea AI in IoT Market by Technology
- 8.3.4.4.2 South Korea AI in IoT Market by Component
- 8.3.4.4.3 South Korea AI in IoT Market by Vertical
- 8.3.4.5 Singapore AI in IoT Market
- 8.3.4.5.1 Singapore AI in IoT Market by Technology
- 8.3.4.5.2 Singapore AI in IoT Market by Component
- 8.3.4.5.3 Singapore AI in IoT Market by Vertical
- 8.3.4.6 Malaysia AI in IoT Market
- 8.3.4.6.1 Malaysia AI in IoT Market by Technology
- 8.3.4.6.2 Malaysia AI in IoT Market by Component
- 8.3.4.6.3 Malaysia AI in IoT Market by Vertical
- 8.3.4.7 Rest of Asia Pacific AI in IoT Market
- 8.3.4.7.1 Rest of Asia Pacific AI in IoT Market by Technology
- 8.3.4.7.2 Rest of Asia Pacific AI in IoT Market by Component
- 8.3.4.7.3 Rest of Asia Pacific AI in IoT Market by Vertical
- 8.4 LAMEA AI in IoT Market
- 8.4.1 LAMEA AI in IoT Market by Technology
- 8.4.1.1 LAMEA Machine Learning & Deep Learning Market by Country
- 8.4.1.2 LAMEA Natural Language Processing (NLP) Market by Country
- 8.4.2 LAMEA AI in IoT Market by Component
- 8.4.2.1 LAMEA Platform Market by Country
- 8.4.2.2 LAMEA Software Market by Country
- 8.4.2.3 LAMEA Services Market by Country
- 8.4.3 LAMEA AI in IoT Market by Vertical
- 8.4.3.1 LAMEA Manufacturing Market by Country
- 8.4.3.2 LAMEA Healthcare Market by Country
- 8.4.3.3 LAMEA BFSI Market by Country
- 8.4.3.4 LAMEA IT & Telecom Market by Country
- 8.4.3.5 LAMEA Retail & E-commerce Market by Country
- 8.4.3.6 LAMEA Energy & Utilities Market by Country
- 8.4.3.7 LAMEA Transportation & Logistics Market by Country
- 8.4.3.8 LAMEA Others Market by Country
- 8.4.4 LAMEA AI in IoT Market by Country
- 8.4.4.1 Brazil AI in IoT Market
- 8.4.4.1.1 Brazil AI in IoT Market by Technology
- 8.4.4.1.2 Brazil AI in IoT Market by Component
- 8.4.4.1.3 Brazil AI in IoT Market by Vertical
- 8.4.4.2 Argentina AI in IoT Market
- 8.4.4.2.1 Argentina AI in IoT Market by Technology
- 8.4.4.2.2 Argentina AI in IoT Market by Component
- 8.4.4.2.3 Argentina AI in IoT Market by Vertical
- 8.4.4.3 UAE AI in IoT Market
- 8.4.4.3.1 UAE AI in IoT Market by Technology
- 8.4.4.3.2 UAE AI in IoT Market by Component
- 8.4.4.3.3 UAE AI in IoT Market by Vertical
- 8.4.4.4 Saudi Arabia AI in IoT Market
- 8.4.4.4.1 Saudi Arabia AI in IoT Market by Technology
- 8.4.4.4.2 Saudi Arabia AI in IoT Market by Component
- 8.4.4.4.3 Saudi Arabia AI in IoT Market by Vertical
- 8.4.4.5 South Africa AI in IoT Market
- 8.4.4.5.1 South Africa AI in IoT Market by Technology
- 8.4.4.5.2 South Africa AI in IoT Market by Component
- 8.4.4.5.3 South Africa AI in IoT Market by Vertical
- 8.4.4.6 Nigeria AI in IoT Market
- 8.4.4.6.1 Nigeria AI in IoT Market by Technology
- 8.4.4.6.2 Nigeria AI in IoT Market by Component
- 8.4.4.6.3 Nigeria AI in IoT Market by Vertical
- 8.4.4.7 Rest of LAMEA AI in IoT Market
- 8.4.4.7.1 Rest of LAMEA AI in IoT Market by Technology
- 8.4.4.7.2 Rest of LAMEA AI in IoT Market by Component
- 8.4.4.7.3 Rest of LAMEA AI in IoT Market by Vertical
Chapter 9. Company Profiles
- 9.1 Salesforce, Inc.
- 9.1.1 Company Overview
- 9.1.2 Financial Analysis
- 9.1.3 Regional Analysis
- 9.1.4 Research & Development Expenses
- 9.1.5 Recent strategies and developments:
- 9.1.5.1 Partnerships, Collaborations, and Agreements:
- 9.1.6 SWOT Analysis
- 9.2 Softweb Solutions Inc.
- 9.2.1 Company Overview
- 9.2.2 Recent strategies and developments:
- 9.2.2.1 Product Launches and Product Expansions:
- 9.2.3 SWOT Analysis
- 9.3 Amazon Web Services, Inc. (Amazon.com, Inc.)
- 9.3.1 Company Overview
- 9.3.2 Financial Analysis
- 9.3.3 Segmental Analysis
- 9.3.4 Recent strategies and developments:
- 9.3.4.1 Partnerships, Collaborations, and Agreements:
- 9.3.5 SWOT Analysis
- 9.4 SAP SE
- 9.4.1 Company Overview
- 9.4.2 Financial Analysis
- 9.4.3 Regional Analysis
- 9.4.4 Research & Development Expense
- 9.4.5 Recent strategies and developments:
- 9.4.5.1 Partnerships, Collaborations, and Agreements:
- 9.4.5.2 Acquisition and Mergers:
- 9.4.6 SWOT Analysis
- 9.5 SAS Institute, Inc.
- 9.5.1 Company Overview
- 9.5.2 Recent strategies and developments:
- 9.5.2.1 Partnerships, Collaborations, and Agreements:
- 9.5.2.2 Product Launches and Product Expansions:
- 9.5.3 SWOT Analysis
- 9.6 Hitachi Digital Services, LLC (Hitachi Ltd.)
- 9.6.1 Company Overview
- 9.6.2 Financial Analysis
- 9.6.3 Segmental and Regional Analysis
- 9.6.4 Research & Development Expenses
- 9.6.5 Recent strategies and developments:
- 9.6.5.1 Partnerships, Collaborations, and Agreements:
- 9.6.6 SWOT Analysis
- 9.7 Oracle Corporation
- 9.7.1 Company Overview
- 9.7.2 Financial Analysis
- 9.7.3 Segmental and Regional Analysis
- 9.7.4 Research & Development Expense
- 9.7.5 Recent strategies and developments:
- 9.7.5.1 Partnerships, Collaborations, and Agreements:
- 9.7.6 SWOT Analysis
- 9.8 Google LLC (Alphabet Inc.)
- 9.8.1 Company Overview
- 9.8.2 Financial Analysis
- 9.8.3 Segmental and Regional Analysis
- 9.8.4 Research & Development Expense
- 9.8.5 Recent strategies and developments:
- 9.8.5.1 Partnerships, Collaborations, and Agreements:
- 9.8.6 SWOT Analysis
- 9.9 PTC, Inc.
- 9.9.1 Company Overview
- 9.9.2 Financial Analysis
- 9.9.3 Regional Analysis
- 9.9.4 Research & Development Expenses
- 9.9.5 Recent strategies and developments:
- 9.9.5.1 Partnerships, Collaborations, and Agreements:
- 9.9.5.2 Product Launches and Product Expansions:
- 9.9.6 SWOT Analysis
- 9.10. IBM Corporation
- 9.10.1 Company Overview
- 9.10.2 Financial Analysis
- 9.10.3 Regional & Segmental Analysis
- 9.10.4 Research & Development Expenses
- 9.10.5 Recent strategies and developments:
- 9.10.5.1 Partnerships, Collaborations, and Agreements:
- 9.10.5.2 Acquisition and Mergers:
- 9.10.6 SWOT Analysis
- 9.11 Cisco Systems, Inc.
- 9.11.1 Company Overview
- 9.11.2 Financial Analysis
- 9.11.3 Regional Analysis
- 9.11.4 Research & Development Expense
- 9.11.5 Recent strategies and developments:
- 9.11.5.1 Partnerships, Collaborations, and Agreements:
- 9.11.5.2 Acquisition and Mergers:
- 9.11.6 SWOT Analysis
- 9.12 Microsoft Corporation
- 9.12.1 Company Overview
- 9.12.2 Financial Analysis
- 9.12.3 Segmental and Regional Analysis
- 9.12.4 Research & Development Expenses
- 9.12.5 Recent strategies and developments:
- 9.12.5.1 Partnerships, Collaborations, and Agreements:
- 9.12.5.2 Acquisition and Mergers:
- 9.12.6 SWOT Analysis
- 9.13 Siemens AG
- 9.13.1 Company Overview
- 9.13.2 Financial Analysis
- 9.13.3 Segmental and Regional Analysis
- 9.13.4 Research & Development Expense
- 9.13.5 Recent strategies and developments:
- 9.13.5.1 Partnerships, Collaborations, and Agreements:
- 9.13.5.2 Product Launches and Product Expansions:
- 9.13.5.3 Acquisition and Mergers:
- 9.13.6 SWOT Analysis
Chapter 10. Winning Imperatives for AI In IoT Market