The use of AoT aids government and defense vertical around the world to fulfill its responsibilities, including public safety, defense, social programs, national intelligence, and cyber security, to protect the citizens. The government and defense services aim to use data, software algorithms, and electronics hardware to predict future scenarios based on the historical and real-time data. AoT is utilized by government and defense services to exploit patterns in data to identify risks and opportunities, increase efficiency and speed, enhance decision-making, and save time, money, and other resources.
Governments across the world are exploring the ways to make use of increased connectivity being driven by IoT for enhancing citizen lives. For instance, IoT analytics is playing a crucial role in traffic management, lighting management, public safety, and environmental monitoring in this era of connected cities. In today’s environment, the city planners can track people’s activities, their location, services they are adopting, and their actions via location-based data. Thus, AoT revolution is picking up speed to change the overall dimensions of citizen’s life of how they live, travel, work, entertain, and more. Furthermore, vendors providing AoT software focus more on the government and defense vertical, which further fuels the growth of the AoT market in this vertical. During the forecast period, AoT is expected to be beneficial for security and emergency management, IT infrastructure management, and energy management applications.

Frequently Asked Questions

  • What are the opportunities in the IoT analytics market?
    The IoT analytics market size is expected to grow from USD 7.2 billion in 2017 to USD 27.8 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 31.0% during the forecast period. Factors such as the tremendous growth of IoT data is expected to fuel the market growth. However, the ownership and control of IoT data is expected to restrain the market growth.
  • What is the competitive landscape in the market?
    The IoT analytics solution and service vendors have implemented various types of organic as well as inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions, to strengthen their offerings in the market. The Major players operating in the market include IBM Corporation (US), Microsoft Corporation (US), Oracle Corporation (US), SAP SE (Germany), Cisco Systems, Inc., (US), Dell Technologies, Inc. (US), Google, Inc. (US), Amazon Web Services, Inc. (US), HP Enterprise Co (US), PTC, Inc. (US), Hitachi, Ltd. (Japan), Teradata Corporation (US), Salesforce.com, Inc. (US), Greenwave Systems, Inc. (US), and mnubo, inc. (US).
  • What are the emerging technologies impacting the overall IoT analytics market?
    Predictive analytics transforms data into valuable insights, facilitating enterprises to optimize business processes, enhance process efficiencies, and increase customer satisfaction. Predictive analytics makes use of real-time data as well as historic data to come up with futuristic outcomes before the actual event takes place. The predictive analytics type is expected to have the largest share in the AoT market due to its ability to determine data and predict future outcomes and trends. The predictions that flow from predictive analytics are transformed into a set of recommended actions that will generate business value. This assists procurement professionals to view business scenario and build future operational strategies. Predictive analytics can also be used for demand forecasting using multiple regression models, which helps organizations determine demand and supply forecasts for different product categories. Such forecasts can prove beneficial while calculating the company revenue and budget growth. Companies are also focusing on providing predictive maintenance and asset maintenance using predictive analytics to understand the device repairing time, minimize downtime, and take swift corrective actions. Predictive analytics when incorporated in AoT, assists a manufacturing unit to ensure continuous operations by implementing asset maintenance or helps a government institute to shut down their servers if suspicious web traffic is detected.
  • What are the key use cases existing in the IoT Analytics market?
    The top 10 use cases in IoT Analytics market are: Predictive maintenance, Quality inspection & assurance, Manufacturing process optimization, Supply chain optimization, AI-driven cybersecurity & privacy, Automated physical security, Automated data management, Smart assistants, AI-driven research & development, Autonomous resource exploration.
  • What are the key trends and dynamics existing in the IoT analytics market?
    The IoT Analytics Market is moving towards the cloud based environment. Cloud-based solutions require less physical set-up, incur lower maintenance costs, and provide 24/7 accessibility from anytime, anywhere. Cloud-based solutions prove to be flexible, agile, and cost-effective, as compared to on-premises solutions. Cloud-based AoT helps organizations to reduce cost and IT complexity; it also improves business agility and increases collaborations by shared services. Globally, large enterprise and SMEs are shifting toward cloud-based solutions to streamline their processes easily and minimize upfront costs. Some of the prominent vendors offering cloud-based AoT software and services include IBM Corporation, Oracle Corp., AWS, and Salesforce.com, Inc.
  • Which are the recent developments made in IoT Analytics market?
    In February 2019, IBM announced access to its IBM Watson on any cloud. Also, the vendor can deploy AI software to automate business wherever the data resides. In June 2019, Cisco announced software innovations for simplified management and security of networks. Also, it introduced new artificial intelligence and machine learning capabilities that enable IT teams to function at machine speed and scale through tailored network insights.

IoT Analytics in Government and Public Sector

Comparing 27 vendors in IoT Analytics Software across 237 criteria.
2 Experts are advising 54 IoT Analytics Software buyers
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SAP offers IoT analytics software through the SAP HANA Cloud platform. SAP HANA is being widely accepted by various industry verticals as it can be integrated not only with the social media module in custom Customer Relationship Management (CRM) but also with R and Hadoop to store, pre-process, analyze, and compute data in real-time analysis. The platform helps analyze data from machines, streaming events, and business operations and allows frontline workers to make use of real-time analytics to maintain productivity.
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Oracle provides an IoT platform to develop new IoT services quickly, using Oracle portfolio of products. This enables organizations to handle growing volumes of data, streamline application development and deployment, automate integration of data, and protect the data across the entire IoT value chain. Oracle provides a variety of IoT analytics solutions, including Oracle IoT Cloud Platform as a Service (PaaS) and Oracle IoT applications with built-in analytics for Key Performance Indicators (KPIs), anomaly detection, comparative analytics, and predictive analytics. Oracle also provides an IoT cloud service which is a secure and scalable platform to quickly build and deploy IoT applications, and capture and analyze IoT data.

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Cisco offers IoT analytics software such as Connected Streaming Analytics (CSA) platform, Cisco IOx APIs, Cisco Fog Data Services, and Cisco Edge Analytics Fabric as a part of its AoT offerings. The Cisco CSA offers predictive, actionable insights, which are collected through high-velocity streams of live data generated from numerous sources, such as sensors and from the edge of the devices, to facilitate real-time governance and by which immediate actions can be taken. Cisco CSA for IoT caters to various industry verticals including retail, IT, network deployment, mobility, and contact centers. In retail, customers can track in-store patterns and study consumer’s shopping patterns and buying behavior so that they are well equipped with the inventory and can also enhance the user's experience. Cisco Edge Analytics Fabric provides flexibility to the enterprises to collect, process, and analyze the data from where it is generated at the edge of the devices.
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Hitachi offers Lumada as its core IoT platform. This open source platform enables technologies from Hitachi IoT partner system to integrate and provide numerous solutions for a variety of industrial applications. The company offers various services in the areas of cloud, big data analytics, infrastructure, data protection, and application services. Moreover, it offers software solutions such as Hitachi Content Intelligence, Hitachi Streaming Data Platform, Pentaho Data Integration and Analytics, which can be integrated into Lumada IoT platform.
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AWS IoT analytics solutions helps users to connect devices to cloud and each other through device gateways and AoT device SDK. AWS IoT Analytics enables the users to constantly ingest, filter, process, and route streaming data coming from connected devices. The solution enables the users to configure the data in usage with other devices using AWS Lambda, Amazon Kinesis, DynamoDB, Amazon Elasticsearch Service, and Amazon Machine Learning.
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Teradata has specialized itself as a leading provider of software solutions and services. Its major offerings include Teradata Database Software, Teradata Workload-Specific Platforms, Teradata Aster Analytics Discovery Platform, Teradata QueryGrid, Teradata Marketing Applications. Apart from software solutions, the company offers Teradata Technology and Implementation services, Teradata Cloud Services, Teradata Managed Services, and customer support and training services.
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The Cumulocity IoT from Software AG is an IoT platform which connects any device from any of the cloud platforms and can be integrated with any of the applications. The platform is very quick to start, in just ten minutes and in very simple steps. The platform offers the benefit of not requiring coding and analysis for business users and analysis can be carried out without coding or programming skills. Users require the same APIs, data and analytics models everywhere, in the cloud and on-premises.

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Ericsson provides its analytics of things solution through User & IoT Analytics solutions. The company’s solution provides real-time analytics, massive data analysis, database performance, and protects the user’s privacy. Ericsson's IoT Accelerator offers global connectivity and device management in on a single platform. It reduces the time to market, lowers the risk of investment, and almost eliminates the complexity for IoT applications and services. Ericsson's Smart manufacturing offers a simple, secure and stable connectivity in side the factories. The company's Device Analytics solution enables users to measure their wireless connectivity performance from mobile devices of any kind and sort.
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AGT offers IoT analytics as its predictive analytics offering based on the cloud deployment option. The platform allows an entire new generation of vertical IoT applications that will drive enhanced business processes, resulting in improved value and new revenue streams. The platform also resolves key issues in IoT analytics, data management and visualization, employing solutions that have been tailor made for each application. Also, the platform integrates easily with existing sensors, network infrastructure and end-user applications.
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Salesforce offers Einstein Analytics platform and IoT Cloud both of which have been powered by Thunder Wave Analytics. Einstein analytics platform integrates AI to the analytics workflow, enabling users to automatically create CRM insights. The platform's AI-augmented analytics provide insights about the past, while it also helps businesses in making future decisions. The AI helps optimize marketing campaigns, by recommending actions which improve customer service and boost sales. The platform also comprises specific role based KPIs, giving users access to the newest data from any IoT device. The platform is built on a secure and scalable platform and it offers seamless upgrades to ensure that the technology stays up to date.
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Splunk Enterprise ingests data from applications, sensors, devices, and so on. Post setting up the data sources, Splunk Enterprise indexes the data stream and resolves it into a series of individual events and metrics that the users can view and search. Splunk IAI is an application that the users can use to track asset health, notify on metric anomalies, design custom metrics, conduct root cause analysis for issues across data sources, and measure entire equipment effectiveness in real time. Splunk IoT Platform Data also helps in reducing downtime of critical assets.
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Information Builders' WebFOCUS possesses an interactive user interface, which provides visually intuitive and highly efficient workflows. It also incorporates UI/UX best practices throughout. The solution enables users and administrators to rapidly create dashboards that combine content from multiple data sources and formats. The solution also provides users with full-featured report writing and casting capabilities which facilitate self-service, enterprise, financial, or managed reporting. The company's API management technology allows users to reuse existing application and infrastructure investments for web-oriented and event-driven architecture.
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