IoT Analytics is a process of collecting, processing, and analyzing data generated by Internet of Things (IoT) devices and sensors. The Internet of Things is a network of interconnected devices, objects, and machines that can collect and exchange data over the internet without the need for human intervention. IoT Analytics plays a crucial role in leveraging the massive amounts of data generated by IoT devices, helping organizations and businesses make data-driven decisions, optimize processes, enhance user experiences, and improve overall operational efficiency. The IoT Analytics market is expanding because of factors such increasing volume of IoT data and emergence of connected cars and smart cities.
As the adoption of IoT devices continues to rise, the data generated by these devices grows exponentially, creating a massive influx of information. IoT analytics enables organizations to extract actionable insights from the massive volumes of data collected by IoT devices. These insights help businesses optimize processes, enhance productivity, reduce downtime, and make firm decisions. According to Statista in year 2019 the total data volume generated by IoT connection stood at 13.6 zetabytes and it is projected to reach at 79.4 zetabytes by year 2025. Furthermore, connected cars generate massive volumes of data from various sources, such as built-in sensors, GPS devices, cameras, and other connected devices within the vehicle. This data includes information about vehicle health, driving behavior, road conditions, and much more. The sheer volume and variety of data produced by connected cars present significant opportunities for IoT analytics. The same source projected that by year 2025, there would be over 400 million connected cars in operation across the globe which represent increased of some 237 million connected cars in year 2021. Thus, rising IoT connection data volume and rising adoption of connected cars across the world are some factors driving the growth of IoT analytics market. In addition, adoption of IoT analytics is industrial automation, increasing technological advancement and increasing IoT spending by various industries are creating new opportunities for market growth. However, concerns associated with data privacy and security stifles market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global IoT Analytics Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to presence of key market players, rising adoption of connected devices, rising spending on adoption of IoT technologies by various end users, rising data generation and rising technological advancement in the region. Whereas, Asia Pacific is projected to grow at a significant rate owing to factors such as rising adoption of digital technologies, rising adoption of connected devices, rising investment in smart technologies in factories and industrial sectors in the region.
Major market player included in this report are:
- Microsoft Corporation
- Oracle Corporation
- Amazon Web Services, Inc.
- Cisco Systems, Inc
- International Business Machine Corporation
- SAP SE
- Accenture PLC
- Dell Technologies Inc
- Google LLC
- The Hewlett Packard Enterprise (HPE) Company
Recent Developments in the Market:
- In October 2022, KTD SYNNEX introduced Data-IoTSolv in the Americas, a comprehensive suite of solutions designed to empower partners in harnessing the potential of the Internet of Things (IoT) and data analytics for accelerated business expansion. With Data-IoTSolv, resellers gain access to cutting-edge technologies spanning the entire IoT edge spectrum, including artificial intelligence (AI) and advanced analytics, enabling them to deliver top-notch services to their clients. This initiative aims to drive innovation and growth by leveraging the transformative power of IoT and data analytics in the business landscape.
- In May 2022, Kajeet, a prominent provider of wireless connectivity, software, and hardware solutions has introduced Sentinel Insights. This new cloud-based data analytics product serves as a powerful addition to Kajeet's flagship IoT management platform, Sentinel. By offering enhanced data analytics capabilities, Sentinel Insights empowers users to derive deeper insights and make informed decisions, bolstering the overall performance and value of Kajeet's IoT solutions for their diverse range of clients.
Global IoT Analytics Market Report Scope:
- Historical Data - 2020 - 2021
- Base Year for Estimation - 2022
- Forecast period - 2023-2030
- Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
- Segments Covered - Component, Deployment, Application, Industry Vertical, Region
- Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
- Customization Scope - Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Component offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
By Deployment:
By Application:
- Energy Management
- Predictive & Asset Management
- Inventory Management
- Sales & Customer Management
- Building Automation
- Security and Emergency Management
- Infrastructure Management
- Remote Monitoring
- Others
By Industry Vertical:
- Healthcare
- Government & Defense
- Manufacturing
- Energy & Utilities
- IT & Telecom
- Logistics & Transportation
- Retail
- Others
By Region:
- Europe
- UK
- Germany
- France
- Spain
- Italy
- ROE
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- RoAPAC
- Middle East & Africa
- Saudi Arabia
- South Africa
- Rest of Middle East & Africa
Table of Contents
Chapter 1. Executive Summary
- 1.1. Market Snapshot
- 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
- 1.2.1. IoT Analytics Market, by Region, 2020-2030 (USD Billion)
- 1.2.2. IoT Analytics Market, by Component, 2020-2030 (USD Billion)
- 1.2.3. IoT Analytics Market, by Deployment, 2020-2030 (USD Billion)
- 1.2.4. IoT Analytics Market, by Application, 2020-2030 (USD Billion)
- 1.2.5. IoT Analytics Market, by Industry Vertical, 2020-2030 (USD Billion)
- 1.3. Key Trends
- 1.4. Estimation Methodology
- 1.5. Research Assumption
Chapter 2. Global IoT Analytics Market Definition and Scope
- 2.1. Objective of the Study
- 2.2. Market Definition & Scope
- 2.2.1. Industry Evolution
- 2.2.2. Scope of the Study
- 2.3. Years Considered for the Study
- 2.4. Currency Conversion Rates
Chapter 3. Global IoT Analytics Market Dynamics
- 3.1. IoT Analytics Market Impact Analysis (2020-2030)
- 3.1.1. Market Drivers
- 3.1.1.1. Increasing volume of IoT data
- 3.1.1.2. Emergence of connected cars and smart cities
- 3.1.2. Market Challenges
- 3.1.2.1. Concerns associated with data privacy and security
- 3.1.3. Market Opportunities
- 3.1.3.1. Adoption of IoT analytics is industrial automation
- 3.1.3.2. Increasing technological advancement
- 3.1.3.3. Increasing IoT spending by various industries verticals
Chapter 4. Global IoT Analytics Market Industry Analysis
- 4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.2. Porter's 5 Force Impact Analysis
- 4.3. PEST Analysis
- 4.3.1. Political
- 4.3.2. Economical
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
- 4.4. Top investment opportunity
- 4.5. Top winning strategies
- 4.6. COVID-19 Impact Analysis
- 4.7. Disruptive Trends
- 4.8. Industry Expert Perspective
- 4.9. Analyst Recommendation & Conclusion
Chapter 5. Global IoT Analytics Market, by Component
- 5.1. Market Snapshot
- 5.2. Global IoT Analytics Market by Component, Performance - Potential Analysis
- 5.3. Global IoT Analytics Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
- 5.4. IoT Analytics Market, Sub Segment Analysis
- 5.4.1. Solution
- 5.4.2. Services
Chapter 6. Global IoT Analytics Market, by Deployment
- 6.1. Market Snapshot
- 6.2. Global IoT Analytics Market by Deployment, Performance - Potential Analysis
- 6.3. Global IoT Analytics Market Estimates & Forecasts by Deployment 2020-2030 (USD Billion)
- 6.4. IoT Analytics Market, Sub Segment Analysis
- 6.4.1. Cloud
- 6.4.2. On-premise
Chapter 7. Global IoT Analytics Market, by Application
- 7.1. Market Snapshot
- 7.2. Global IoT Analytics Market by Application, Performance - Potential Analysis
- 7.3. Global IoT Analytics Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
- 7.4. IoT Analytics Market, Sub Segment Analysis
- 7.4.1. Energy Management
- 7.4.2. Predictive & Asset Management
- 7.4.3. Inventory Management
- 7.4.4. Sales & Customer Management
- 7.4.5. Building Automation
- 7.4.6. Security and Emergency Management
- 7.4.7. Infrastructure Management
- 7.4.8. Remote Monitoring
- 7.4.9. Others
Chapter 8. Global IoT Analytics Market, by Industry Vertical
- 8.1. Market Snapshot
- 8.2. Global IoT Analytics Market by Industry Vertical, Performance - Potential Analysis
- 8.3. Global IoT Analytics Market Estimates & Forecasts by Industry Vertical 2020-2030 (USD Billion)
- 8.4. IoT Analytics Market, Sub Segment Analysis
- 8.4.1. Healthcare
- 8.4.2. Government & Defense
- 8.4.3. Manufacturing
- 8.4.4. Energy & Utilities
- 8.4.5. IT & Telecom
- 8.4.6. Logistics & Transportation
- 8.4.7. Retail
- 8.4.8. Others
Chapter 9. Global IoT Analytics Market, Regional Analysis
- 9.1. Top Leading Countries
- 9.2. Top Emerging Countries
- 9.3. IoT Analytics Market, Regional Market Snapshot
- 9.4. North America IoT Analytics Market
- 9.4.1. U.S. IoT Analytics Market
- 9.4.1.1. Component breakdown estimates & forecasts, 2020-2030
- 9.4.1.2. Deployment breakdown estimates & forecasts, 2020-2030
- 9.4.1.3. Application breakdown estimates & forecasts, 2020-2030
- 9.4.1.4. Industry Vertical breakdown estimates & forecasts, 2020-2030
- 9.4.2. Canada IoT Analytics Market
- 9.5. Europe IoT Analytics Market Snapshot
- 9.5.1. U.K. IoT Analytics Market
- 9.5.2. Germany IoT Analytics Market
- 9.5.3. France IoT Analytics Market
- 9.5.4. Spain IoT Analytics Market
- 9.5.5. Italy IoT Analytics Market
- 9.5.6. Rest of Europe IoT Analytics Market
- 9.6. Asia-Pacific IoT Analytics Market Snapshot
- 9.6.1. China IoT Analytics Market
- 9.6.2. India IoT Analytics Market
- 9.6.3. Japan IoT Analytics Market
- 9.6.4. Australia IoT Analytics Market
- 9.6.5. South Korea IoT Analytics Market
- 9.6.6. Rest of Asia Pacific IoT Analytics Market
- 9.7. Latin America IoT Analytics Market Snapshot
- 9.7.1. Brazil IoT Analytics Market
- 9.7.2. Mexico IoT Analytics Market
- 9.8. Middle East & Africa IoT Analytics Market
- 9.8.1. Saudi Arabia IoT Analytics Market
- 9.8.2. South Africa IoT Analytics Market
- 9.8.3. Rest of Middle East & Africa IoT Analytics Market
Chapter 10. Competitive Intelligence
- 10.1. Key Company SWOT Analysis
- 10.1.1. Company 1
- 10.1.2. Company 2
- 10.1.3. Company 3
- 10.2. Top Market Strategies
- 10.3. Company Profiles
- 10.3.1. Microsoft Corporation
- 10.3.1.1. Key Information
- 10.3.1.2. Overview
- 10.3.1.3. Financial (Subject to Data Availability)
- 10.3.1.4. Product Summary
- 10.3.1.5. Recent Developments
- 10.3.2. Oracle Corporation
- 10.3.3. Amazon Web Services, Inc.
- 10.3.4. Cisco Systems, Inc
- 10.3.5. International Business Machine Corporation
- 10.3.6. SAP SE
- 10.3.7. Accenture PLC
- 10.3.8. Dell Technologies Inc
- 10.3.9. Google LLC
- 10.3.10. The Hewlett Packard Enterprise (HPE) Company
Chapter 11. Research Process
- 11.1. Research Process
- 11.1.1. Data Mining
- 11.1.2. Analysis
- 11.1.3. Market Estimation
- 11.1.4. Validation
- 11.1.5. Publishing
- 11.2. Research Attributes
- 11.3. Research Assumption