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IOT Analytics Market Share

ID: MRFR//1225-HCR | 110 Pages | Author: Shubham Munde| September 2025

Introduction: Navigating the Competitive Landscape of IoT Analytics

The Internet of Things (IoT) analytics market is experiencing unprecedented competition, driven by the rapid development of the technology, the changing regulatory framework, and the rising demand for real-time insights. Leading players, including system integrators, IT companies, and artificial intelligence (AI) start-ups, are vying to take the lead by deploying advanced analytics and automation to increase operational efficiency. The key differentiator is the ability to combine IoT with artificial intelligence. The development of biometrics and green IoT solutions is also influencing the strategies of the major players. Looking ahead to 2024–2025, the growth opportunities are in Asia–Pacific and North America. Strategic deployments are focusing on smart cities and industrial IoT applications, which give the early adopters a significant competitive advantage.

Competitive Positioning

Full-Suite Integrators

These vendors offer comprehensive IoT analytics solutions that integrate various functionalities for end-to-end management.

VendorCompetitive EdgeSolution FocusRegional Focus
Amazon Web Services Inc. Extensive cloud infrastructure and services Cloud-based IoT analytics Global
Microsoft Corporation Strong integration with enterprise applications IoT platform and analytics Global
IBM Corporation Advanced AI and machine learning capabilities IoT analytics and AI solutions Global
SAP SE Robust enterprise resource planning integration IoT analytics for business processes Global
Oracle Corporation Comprehensive data management solutions IoT cloud and analytics Global

Specialized Technology Vendors

These vendors focus on niche IoT analytics technologies, providing specialized solutions tailored to specific industry needs.

VendorCompetitive EdgeSolution FocusRegional Focus
PTC Inc. Strong focus on industrial IoT applications IoT analytics for manufacturing North America, Europe

Infrastructure & Equipment Providers

These vendors supply the necessary hardware and infrastructure to support IoT analytics solutions.

VendorCompetitive EdgeSolution FocusRegional Focus
Dell Technologies Inc. Integrated hardware and software solutions IoT infrastructure and analytics Global
Cisco Systems Inc. Strong networking and security capabilities IoT connectivity and analytics Global
HP Enterprise Company Focus on enterprise-grade solutions IoT infrastructure and analytics Global

Emerging Players & Regional Champions

  • DataRobot (US): The company develops and markets an automatic machine-learning platform, primarily for IoT data analysis. It recently entered into a partnership with a major automobile manufacturer to enhance its predictive maintenance capabilities, and is a direct competitor to IBM and SAS. Its tools are easier to use and more accessible than those of its competitors.
  • Then I went on to the Uptake Company in the United States. Uptake specializes in IoT and AI-driven data analysis. It recently signed a contract with a leading energy company to optimize its assets. It complements the offerings of traditional data analysis companies with a focus on real-time data analysis and actionable insights.
  • Zebra Technologies (U.S.A.): Provides Internet of Things and analytic solutions for logistics and supply chains. It has recently developed a smart warehouse solution for a major retailer that enhances visibility and efficiency, thus putting a challenge to the legacy systems of companies such as Oracle.
  • Samsara (US): focuses on IoT for fleet management and industrial operations. Its analytics capabilities have been extended to include the environment, and it complements the offerings of other players by providing both hardware and software.
  • C3 (US): Enterprise-level IoT and data analytics. Recently teamed up with a major utility to offer energy-use prediction, establishing itself as a strong competitor to traditional enterprise software vendors.

Regional Trends: In 2023, IoT analytics will have an important regional growth, especially in North America and Europe, due to the need for increased operational efficiency and the need for data-driven decision-making. The industry is driven by manufacturing, logistics and energy, where the importance of artificial intelligence and machine learning is increasing. In addition, the trend is towards industry-specific solutions as companies are looking for specialized analytics to address their own specific industry challenges.

Collaborations & M&A Movements

  • IBM and Siemens entered into a partnership to integrate IoT analytics with AI-driven insights for smart manufacturing, aiming to enhance operational efficiency and strengthen their competitive positioning in the industrial IoT sector.
  • Microsoft acquired IoT analytics firm Cloudyn to bolster its Azure IoT offerings, enhancing its market share in cloud-based IoT solutions amidst increasing competition from AWS and Google Cloud.
  • SAP and Bosch collaborated to develop a new IoT analytics platform that leverages machine learning to optimize supply chain processes, positioning both companies as leaders in the smart logistics market.

Competitive Summary Table

CapabilityLeading PlayersRemarks
Biometric Self-Boarding Gemalto, NEC Corporation Having developed biometrics, Gemalto has installed solutions for self-boarding at many airports, facilitating the flow of passengers and reducing waiting times. The technology developed by NEC has been recognised for its accuracy and speed and has been successfully installed in several international airports.
AI-Powered Ops Mgmt IBM, Microsoft IBM’s IoT platform offers a range of advanced analytics for managing operations, enabling a high level of predictability and real-time decision-making. In logistics, for example, case studies show how the use of artificial intelligence can reduce costs.
Border Control Thales Group, HID Global Thales has developed systems of control of the borders which take advantage of the new possibilities offered by artificial intelligence and the learning of machines. These systems have been installed in several European countries. HID Global specializes in identity verification systems which speed up border crossings and improve the traveller’s experience.
Sustainability Siemens, Schneider Electric The Internet of Things has allowed Siemens to develop smart building solutions that optimize energy consumption and reduce carbon emissions. Schneider Electric’s EcoStruxure platform enables real-time monitoring and management of energy resources, thus promoting the sustainable development of industrial sites.
Passenger Experience Cisco, SAP Internet of Things solutions enhance the airport experience with smart connections and individualized services. The data from IoT solutions is integrated into the customer experience portfolio and used to gain insights into customer behavior. This enables tailored services and increases customer satisfaction.

Conclusion: Navigating the IoT Analytics Landscape

The IoT Analytics market in 2023 is characterized by a high degree of competition and significant fragmentation, with both established and new players competing for market share. Regional trends show a growing focus on localized solutions, as vendors adapt to the specific needs of the market and the regulatory environment. The market is becoming increasingly specialized, with the major players deploying advanced solutions in their core areas of business and the newer players concentrating on innovation and agility in their efforts to capture niches. Leading players will be those who can offer the best combination of artificial intelligence, automation, flexibility, and sustainability. The ability to understand these dynamics and to align strategies accordingly will be essential for companies to compete in this rapidly evolving environment.

Covered Aspects:
Report Attribute/Metric Details
Base Year For Estimation 2023
Forecast Period 2024-2032
Growth Rate 21.25% (2024-2032)
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