Analytics of Things Market to grow at a CAGR of 28.2% during the forecast period 2017-2023 to reach an aggregrate of $23.99 billion by 2023
Overview
New wireless technologies, sensors, and mobile devices are driving the IoT evolution. However, the real business value of the technology lies in analytics. Advanced analytics can provide meaningful insights that could help in transforming consumer experiences, development of products and services, optimization of operations, and cost savings on assets. The datasets extracted from sensors can be correlated with data, such as social data, to yield a strong understanding of the operations or a person or a group of individuals.
Product analysis
IoT analytics platform could enable a wide range of analytics, from real-time to machine learning and cognitive to edge. Automated machine learning can be added to quick and simple real-time monitoring for identification of anomalous behavior. Predictive analytics uses advanced statistical modeling and historic data. For contextual insights, cognitive analytics can be applied to the unstructured data sources. These insights would consist of detailed graphs and visualization dashboards. The platform is purposely built to scale the high velocity and large volumes of data. With the advancements in processing and analytics, analytics can be performed at the edge of the network to overcome the challenges of connectivity, security, bandwidth, and latency.
Market analysis
Analytic of Things (AoT) has become highly relevant to few industries such as manufacturing, logistics, and utilities. Analytics is being applied to power grid systems for continuous monitoring, proactive management of power supply, and preventive maintenance. Most of the manufacturing plants and fleets in logistics already have Internet-enabled sensors, and thus these businesses utilize analytics. Most of the new business processes and systems are likely to incorporate at least some elements of IoT analytics. Large enterprises who have prioritized low cost solutions are likely to deploy AoT solutions on cloud.
Technology analysis
The value of IoT Analytics lies in real-time business analytics. In IoT, real-time analysis is difficult with several million events often streaming into the system. Lack of real-time advanced algorithms poses a challenge in real-time analytics. However, the challenges are being addressed as several IoT vendors are investing in improving the efficiency of the IoT systems. Descriptive analytics has already become mature, and the vendors are now focusing on predictive and prescriptive analytics. Both the types are likely to attract consumers’ attention due to high operational efficiencies and cost reductions that they yield.
Key players
Most of the IoT vendors in the market have offerings for IoT analytics as well. The major vendors in the IoT market are Microsoft, Cisco, SAP, Intel, IBM, Google, AGT International, Accenture, Capgemini, and TIBCO Software.
Competitive analysis
Almost the entire AoT market is ruled by the IT conglomerates. Intel, Cisco, IBM, Microsoft, Google, and HP are few of the major players in the AoT market. The vendors are proactively investing in the development of IoT technologies. For instance, Microsoft has invested on processing features of Microsoft Streaming Analytics to enable better extraction of information from sensors in real-time. IBM has invested in enterprise application infrastructure and databases for connected devices. With respect to such investments, there has been a rise in the demand for data scientists and courses for the same. The Federal and Central governments of several countries are incentivizing development of the AoT ecosystem and are promoting the use of IoT and related technologies.
Regional analysis
With its assurance of cost reduction and operational efficiencies, IoT and analytics is gaining popularity across all the regions. North America leads the AoT market in terms of market share due to the rising adoption of IoT solutions, a well-developed ecosystem, and the presence of major IoT players in the market. The market is yet to tap the entire potential as few organizations are still unsure about the technology. European organizations and governments are investing on innovations and ecosystem development. Asia Pacific is a rapidly developing region, and the economies are likely to invest in AoT as a move towards digitization. Heavy and sustained investments in IoT from countries, such as India, China, South Korea, Singapore, and several Western European countries, have positioned them fit to guide the next digital wave of computing and industrialization. While the Middle East and Africa are investing in AoT in line with their growing economy and the prominent oil and gas industry in MEA region, Latin America will experience increased investment by IoT vendors in the next 5 years.
Benefits
IoT analytics platform enables an organization to transform its business operations and boost its revenues. AoT warns organizations of any potential problems associated with an equipment. Strengths and weaknesses of various processes can be analyzed by turning tools and systems into smart devices. Fuel and energy consumption in the processes can be tracked and the expenses can be minimized. Data gathered with respect to preferences and purchasing habits of customers can be used in developing personalized shopping experience. The product quality can be assessed with the help of IoT Analytics.
New wireless technologies, sensors, and mobile devices are driving the IoT evolution. However, the real business value of the technology lies in analytics. Advanced analytics can provide meaningful insights that could help in transforming consumer experiences, development of products and services, optimization of operations, and cost savings on assets. The datasets extracted from sensors can be correlated with data, such as social data, to yield a strong understanding of the operations or a person or a group of individuals.
Product analysis
IoT analytics platform could enable a wide range of analytics, from real-time to machine learning and cognitive to edge. Automated machine learning can be added to quick and simple real-time monitoring for identification of anomalous behavior. Predictive analytics uses advanced statistical modeling and historic data. For contextual insights, cognitive analytics can be applied to the unstructured data sources. These insights would consist of detailed graphs and visualization dashboards. The platform is purposely built to scale the high velocity and large volumes of data. With the advancements in processing and analytics, analytics can be performed at the edge of the network to overcome the challenges of connectivity, security, bandwidth, and latency.
Market analysis
Analytic of Things (AoT) has become highly relevant to few industries such as manufacturing, logistics, and utilities. Analytics is being applied to power grid systems for continuous monitoring, proactive management of power supply, and preventive maintenance. Most of the manufacturing plants and fleets in logistics already have Internet-enabled sensors, and thus these businesses utilize analytics. Most of the new business processes and systems are likely to incorporate at least some elements of IoT analytics. Large enterprises who have prioritized low cost solutions are likely to deploy AoT solutions on cloud.
Technology analysis
The value of IoT Analytics lies in real-time business analytics. In IoT, real-time analysis is difficult with several million events often streaming into the system. Lack of real-time advanced algorithms poses a challenge in real-time analytics. However, the challenges are being addressed as several IoT vendors are investing in improving the efficiency of the IoT systems. Descriptive analytics has already become mature, and the vendors are now focusing on predictive and prescriptive analytics. Both the types are likely to attract consumers’ attention due to high operational efficiencies and cost reductions that they yield.
Key players
Most of the IoT vendors in the market have offerings for IoT analytics as well. The major vendors in the IoT market are Microsoft, Cisco, SAP, Intel, IBM, Google, AGT International, Accenture, Capgemini, and TIBCO Software.
Competitive analysis
Almost the entire AoT market is ruled by the IT conglomerates. Intel, Cisco, IBM, Microsoft, Google, and HP are few of the major players in the AoT market. The vendors are proactively investing in the development of IoT technologies. For instance, Microsoft has invested on processing features of Microsoft Streaming Analytics to enable better extraction of information from sensors in real-time. IBM has invested in enterprise application infrastructure and databases for connected devices. With respect to such investments, there has been a rise in the demand for data scientists and courses for the same. The Federal and Central governments of several countries are incentivizing development of the AoT ecosystem and are promoting the use of IoT and related technologies.
Regional analysis
With its assurance of cost reduction and operational efficiencies, IoT and analytics is gaining popularity across all the regions. North America leads the AoT market in terms of market share due to the rising adoption of IoT solutions, a well-developed ecosystem, and the presence of major IoT players in the market. The market is yet to tap the entire potential as few organizations are still unsure about the technology. European organizations and governments are investing on innovations and ecosystem development. Asia Pacific is a rapidly developing region, and the economies are likely to invest in AoT as a move towards digitization. Heavy and sustained investments in IoT from countries, such as India, China, South Korea, Singapore, and several Western European countries, have positioned them fit to guide the next digital wave of computing and industrialization. While the Middle East and Africa are investing in AoT in line with their growing economy and the prominent oil and gas industry in MEA region, Latin America will experience increased investment by IoT vendors in the next 5 years.
Benefits
IoT analytics platform enables an organization to transform its business operations and boost its revenues. AoT warns organizations of any potential problems associated with an equipment. Strengths and weaknesses of various processes can be analyzed by turning tools and systems into smart devices. Fuel and energy consumption in the processes can be tracked and the expenses can be minimized. Data gathered with respect to preferences and purchasing habits of customers can be used in developing personalized shopping experience. The product quality can be assessed with the help of IoT Analytics.
1 INDUSTRY OUTLOOK
1.1 Industry Overview
1.2 Industry Trends
1.3 PEST Analysis
2 REPORT OUTLINE
2.1 Report Scope
2.2 Report Summary
2.3 Research Methodology
2.4 Report Assumptions
3 MARKET SNAPSHOT
3.1 Total Addressable Market
3.2 Segmented Addressable Market
3.3 Related Markets
3.3.1 Big Data Analytics Market
3.3.2 IoT in Manufacturing
4 MARKET OUTLOOK
4.1 Overview
4.2 Market Definition
4.3 Market Trends
4.4 Ecosystem of Analytics of Things
4.5 Architecture
4.6 Market Segmentation
4.7 Porter 5 (Five) Forces
5 MARKET CHARACTERISTICS
5.1 Benefits of AoT
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Rise in demand for predictive analytics
5.2.1.2 Increased efficiency of IoT devices and the collected data
5.2.1.3 End-to-end process automation
5.2.1.4 Rise in use of wireless solutions
5.2.2 Restraints
5.2.2.1 Lack of real-time algorithms
5.2.2.2 Lack of skilled workforce
5.2.3 Opportunities
5.2.3.1 Emergence of edge analytics
5.2.3.2 Development of platform as a service
5.3 DRO – Impact Analysis
6 VERTICALS: MARKET SIZE AND ANALYSIS
6.1 Overview
6.2 Healthcare
6.3 Government & Defense
6.4 Manufacturing
6.5 IT & Telecom
6.6 Logistics & Transportation
6.7 Energy & Utilities
6.8 Retail
6.9 Others
7 APPLICATIONS: MARKET SIZE AND ANALYSIS
7.1 Overview
7.2 Energy Management
7.3 Predictive Maintenance & Asset Management
7.4 Infrastructure Management
7.5 Remote Monitoring
7.6 Inventory Management
7.7 Sales & Customer Management
7.8 Security & Emergency Management
7.9 Building Automation
8 SOFTWARE: MARKET SIZE AND ANALYSIS
8.1 Overview
8.2 Sensor Data Analytics
8.3 IoT Gateway Analytics
8.4 Network Management
9 SERVICES: MARKET SIZE AND ANALYSIS
9.1 Overview
9.2 Deployment & Integration
9.3 Support & Maintenance
9.4 Consulting Services
9.5 Managed Services
10 DEPLOYMENT TYPE: MARKET SIZE AND ANALYSIS
10.1 Overview
10.2 On-premise
10.3 Hosted
11 REGIONS: MARKET SIZE AND ANALYSIS
11.1 Overview
11.2 North America
11.2.1 Overview
11.2.2 US
11.2.3 Canada
11.3 Europe
11.3.1 Overview
11.3.2 Germany
11.3.3 France
11.3.4 Netherlands
11.3.5 Sweden
11.3.6 UK
11.4 Asia Pacific
11.4.1 Overview
11.4.2 China
11.4.3 Japan
11.4.4 India
11.4.5 South Korea
11.4.6 Australia
11.5 Middle East & Africa
11.5.1 Overview
11.6 Latin America
11.6.1 Overview
11.6.2 Brazil
11.6.3 Mexico
12 VENDORS PROFILE
12.1 Microsoft Corp.
12.1.1 Overview
12.1.2 Business Units
12.1.3 Geographic Revenue
12.1.4 Business Focus
12.1.5 SWOT Analysis
12.1.6 Business Strategies
12.2 Google Inc.
12.2.1 Overview
12.2.2 Business Units
12.2.3 Geographic Revenue
12.2.4 Business Focus
12.2.5 SWOT Analysis
12.2.6 Business Strategies
12.3 IBM Corp.
12.3.1 Overview
12.3.2 Business Units
12.3.3 Geographic Revenue
12.3.4 Business Focus
12.3.5 SWOT Analysis
12.3.6 Business Strategies
12.4 Cisco Systems, Inc.
12.4.1 Overview
12.4.2 Business Units
12.4.3 Geographic Revenue
12.4.4 Business Focus
12.4.5 SWOT Analysis
12.4.6 Business Strategies
12.5 SAP AG
12.5.1 Overview
12.5.2 Business Units
12.5.3 Geographic Presence
12.5.4 SWOT Analysis
12.5.5 Business Focus
12.5.6 Business Strategies
12.6 Amazon.com, Inc.
12.6.1 Overview
12.6.2 Business Units
12.6.3 Geographic Revenue
12.6.4 Business Focus
12.6.5 SWOT Analysis
12.6.6 Business Strategies
13 COMPANIES TO WATCH FOR
13.1 Maana
13.1.1 Overview
13.1.2 Maana in AoT Market
13.2 Flutura
13.2.1 Overview
13.2.2 Flutura in AoT Market
13.3 Joojip
13.3.1 Overview
13.3.2 Joojip in AoT Market
Annexure
Abbreviations
1.1 Industry Overview
1.2 Industry Trends
1.3 PEST Analysis
2 REPORT OUTLINE
2.1 Report Scope
2.2 Report Summary
2.3 Research Methodology
2.4 Report Assumptions
3 MARKET SNAPSHOT
3.1 Total Addressable Market
3.2 Segmented Addressable Market
3.3 Related Markets
3.3.1 Big Data Analytics Market
3.3.2 IoT in Manufacturing
4 MARKET OUTLOOK
4.1 Overview
4.2 Market Definition
4.3 Market Trends
4.4 Ecosystem of Analytics of Things
4.5 Architecture
4.6 Market Segmentation
4.7 Porter 5 (Five) Forces
5 MARKET CHARACTERISTICS
5.1 Benefits of AoT
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Rise in demand for predictive analytics
5.2.1.2 Increased efficiency of IoT devices and the collected data
5.2.1.3 End-to-end process automation
5.2.1.4 Rise in use of wireless solutions
5.2.2 Restraints
5.2.2.1 Lack of real-time algorithms
5.2.2.2 Lack of skilled workforce
5.2.3 Opportunities
5.2.3.1 Emergence of edge analytics
5.2.3.2 Development of platform as a service
5.3 DRO – Impact Analysis
6 VERTICALS: MARKET SIZE AND ANALYSIS
6.1 Overview
6.2 Healthcare
6.3 Government & Defense
6.4 Manufacturing
6.5 IT & Telecom
6.6 Logistics & Transportation
6.7 Energy & Utilities
6.8 Retail
6.9 Others
7 APPLICATIONS: MARKET SIZE AND ANALYSIS
7.1 Overview
7.2 Energy Management
7.3 Predictive Maintenance & Asset Management
7.4 Infrastructure Management
7.5 Remote Monitoring
7.6 Inventory Management
7.7 Sales & Customer Management
7.8 Security & Emergency Management
7.9 Building Automation
8 SOFTWARE: MARKET SIZE AND ANALYSIS
8.1 Overview
8.2 Sensor Data Analytics
8.3 IoT Gateway Analytics
8.4 Network Management
9 SERVICES: MARKET SIZE AND ANALYSIS
9.1 Overview
9.2 Deployment & Integration
9.3 Support & Maintenance
9.4 Consulting Services
9.5 Managed Services
10 DEPLOYMENT TYPE: MARKET SIZE AND ANALYSIS
10.1 Overview
10.2 On-premise
10.3 Hosted
11 REGIONS: MARKET SIZE AND ANALYSIS
11.1 Overview
11.2 North America
11.2.1 Overview
11.2.2 US
11.2.3 Canada
11.3 Europe
11.3.1 Overview
11.3.2 Germany
11.3.3 France
11.3.4 Netherlands
11.3.5 Sweden
11.3.6 UK
11.4 Asia Pacific
11.4.1 Overview
11.4.2 China
11.4.3 Japan
11.4.4 India
11.4.5 South Korea
11.4.6 Australia
11.5 Middle East & Africa
11.5.1 Overview
11.6 Latin America
11.6.1 Overview
11.6.2 Brazil
11.6.3 Mexico
12 VENDORS PROFILE
12.1 Microsoft Corp.
12.1.1 Overview
12.1.2 Business Units
12.1.3 Geographic Revenue
12.1.4 Business Focus
12.1.5 SWOT Analysis
12.1.6 Business Strategies
12.2 Google Inc.
12.2.1 Overview
12.2.2 Business Units
12.2.3 Geographic Revenue
12.2.4 Business Focus
12.2.5 SWOT Analysis
12.2.6 Business Strategies
12.3 IBM Corp.
12.3.1 Overview
12.3.2 Business Units
12.3.3 Geographic Revenue
12.3.4 Business Focus
12.3.5 SWOT Analysis
12.3.6 Business Strategies
12.4 Cisco Systems, Inc.
12.4.1 Overview
12.4.2 Business Units
12.4.3 Geographic Revenue
12.4.4 Business Focus
12.4.5 SWOT Analysis
12.4.6 Business Strategies
12.5 SAP AG
12.5.1 Overview
12.5.2 Business Units
12.5.3 Geographic Presence
12.5.4 SWOT Analysis
12.5.5 Business Focus
12.5.6 Business Strategies
12.6 Amazon.com, Inc.
12.6.1 Overview
12.6.2 Business Units
12.6.3 Geographic Revenue
12.6.4 Business Focus
12.6.5 SWOT Analysis
12.6.6 Business Strategies
13 COMPANIES TO WATCH FOR
13.1 Maana
13.1.1 Overview
13.1.2 Maana in AoT Market
13.2 Flutura
13.2.1 Overview
13.2.2 Flutura in AoT Market
13.3 Joojip
13.3.1 Overview
13.3.2 Joojip in AoT Market
Annexure
Abbreviations
LIST OF TABLES
Table 1 ANALYTICS OF THINGS MARKET REVENUE BY VERTICALS, 2017–2023 ($BILLION)
Table 2 ANALYTICS OF THINGS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 3 ANALYTICS OF THINGS MARKET REVENUE BY SOFTWARE, 2017–2023 ($BILLION)
Table 4 ANALYTICS OF THINGS MARKET REVENUE BY SERVICES, 2017–2023 ($BILLION)
Table 5 ANALYTICS OF THINGS MARKET REVENUE BY DEPLOYMENT TYPE, 2017–2023 ($BILLION)
Table 6 ANALYTICS OF THINGS MARKET REVENUE BY REGIONS, 2017–2023 ($BILLION)
Table 7 NORTH AMERICA ANALYTICS OF THINGS MARKET REVENUE BY TYPE, 2017–2023 ($BILLION)
Table 8 NORTH AMERICA ANALYTICS OF THINGS MARKET REVENUE BY SOFTWARE, 2017–2023 ($BILLION)
Table 9 NORTH AMERICA ANALYTICS OF THINGS MARKET REVENUE BY SERVICES, 2017–2023 ($BILLION)
Table 10 NORTH AMERICA ANALYTICS OF THINGS MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
Table 11 NORTH AMERICA ANALYTICS OF THINGS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 12 NORTH AMERICA ANALYTICS OF THINGS MARKET REVENUE BY VERTICALS, 2017–2023 ($BILLION)
Table 13 EUROPE ANALYTICS OF THINGS MARKET REVENUE BY TYPE, 2017–2023 ($BILLION)
Table 14 EUROPE ANALYTICS OF THINGS MARKET REVENUE BY SOFTWARE, 2017–2023 ($BILLION)
Table 15 EUROPE ANALYTICS OF THINGS MARKET REVENUE BY SERVICES, 2017–2023 ($BILLION)
Table 16 EUROPE ANALYTICS OF THINGS MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
Table 17 EUROPE ANALYTICS OF THINGS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 18 EUROPE ANALYTICS OF THINGS MARKET REVENUE BY VERTICALS, 2017–2023 ($BILLION)
Table 19 ASIA PACIFIC ANALYTICS OF THINGS MARKET REVENUE BY TYPE, 2017–2023 ($BILLION)
Table 20 ASIA PACIFIC ANALYTICS OF THINGS MARKET REVENUE BY SOFTWARE, 2017–2023 ($BILLION)
Table 21 ASIA PACIFIC ANALYTICS OF THINGS MARKET REVENUE BY SERVICES, 2017–2023 ($BILLION)
Table 22 ASIA PACIFIC ANALYTICS OF THINGS MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
Table 23 ASIA PACIFIC ANALYTICS OF THINGS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 24 ASIA PACIFIC ANALYTICS OF THINGS MARKET REVENUE BY CORPORATE VERTICALS, 2017–2023 ($BILLION)
Table 25 MEA ANALYTICS OF THINGS MARKET REVENUE BY TYPE, 2017–2023 ($BILLION)
Table 26 MEA ANALYTICS OF THINGS MARKET REVENUE BY SOFTWARE, 2017–2023 ($BILLION)
Table 27 MEA ANALYTICS OF THINGS MARKET REVENUE BY SERVICES, 2017–2023 ($MILLION)
Table 28 MEA ANALYTICS OF THINGS MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
Table 29 MEA ANALYTICS OF THINGS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($MILLION)
Table 30 MEA ANALYTICS OF THINGS MARKET REVENUE BY VERTICALS, 2017–2023 ($MILLION)
Table 31 LATIN AMERICA ANALYTICS OF THINGS MARKET REVENUE BY TYPE, 2017–2023 ($BILLION)
Table 32 LATIN AMERICA ANALYTICS OF THINGS REVENUE BY SOFTWARE, 2017–2023 ($BILLION)
Table 33 LATIN AMERICA ANALYTICS OF THINGS MARKET REVENUE BY SERVICES, 2017–2023 ($MILLION)
Table 34 LATIN AMERICA ANALYTICS OF THINGS MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
Table 35 LATIN AMERICA ANALYTICS OF THINGS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($MILLION)
Table 36 LATIN AMERICA ANALYTICS OF THINGS MARKET REVENUE BY VERTICALS, 2017–2023 ($MILLION)
Table 1 ANALYTICS OF THINGS MARKET REVENUE BY VERTICALS, 2017–2023 ($BILLION)
Table 2 ANALYTICS OF THINGS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 3 ANALYTICS OF THINGS MARKET REVENUE BY SOFTWARE, 2017–2023 ($BILLION)
Table 4 ANALYTICS OF THINGS MARKET REVENUE BY SERVICES, 2017–2023 ($BILLION)
Table 5 ANALYTICS OF THINGS MARKET REVENUE BY DEPLOYMENT TYPE, 2017–2023 ($BILLION)
Table 6 ANALYTICS OF THINGS MARKET REVENUE BY REGIONS, 2017–2023 ($BILLION)
Table 7 NORTH AMERICA ANALYTICS OF THINGS MARKET REVENUE BY TYPE, 2017–2023 ($BILLION)
Table 8 NORTH AMERICA ANALYTICS OF THINGS MARKET REVENUE BY SOFTWARE, 2017–2023 ($BILLION)
Table 9 NORTH AMERICA ANALYTICS OF THINGS MARKET REVENUE BY SERVICES, 2017–2023 ($BILLION)
Table 10 NORTH AMERICA ANALYTICS OF THINGS MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
Table 11 NORTH AMERICA ANALYTICS OF THINGS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 12 NORTH AMERICA ANALYTICS OF THINGS MARKET REVENUE BY VERTICALS, 2017–2023 ($BILLION)
Table 13 EUROPE ANALYTICS OF THINGS MARKET REVENUE BY TYPE, 2017–2023 ($BILLION)
Table 14 EUROPE ANALYTICS OF THINGS MARKET REVENUE BY SOFTWARE, 2017–2023 ($BILLION)
Table 15 EUROPE ANALYTICS OF THINGS MARKET REVENUE BY SERVICES, 2017–2023 ($BILLION)
Table 16 EUROPE ANALYTICS OF THINGS MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
Table 17 EUROPE ANALYTICS OF THINGS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 18 EUROPE ANALYTICS OF THINGS MARKET REVENUE BY VERTICALS, 2017–2023 ($BILLION)
Table 19 ASIA PACIFIC ANALYTICS OF THINGS MARKET REVENUE BY TYPE, 2017–2023 ($BILLION)
Table 20 ASIA PACIFIC ANALYTICS OF THINGS MARKET REVENUE BY SOFTWARE, 2017–2023 ($BILLION)
Table 21 ASIA PACIFIC ANALYTICS OF THINGS MARKET REVENUE BY SERVICES, 2017–2023 ($BILLION)
Table 22 ASIA PACIFIC ANALYTICS OF THINGS MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
Table 23 ASIA PACIFIC ANALYTICS OF THINGS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION)
Table 24 ASIA PACIFIC ANALYTICS OF THINGS MARKET REVENUE BY CORPORATE VERTICALS, 2017–2023 ($BILLION)
Table 25 MEA ANALYTICS OF THINGS MARKET REVENUE BY TYPE, 2017–2023 ($BILLION)
Table 26 MEA ANALYTICS OF THINGS MARKET REVENUE BY SOFTWARE, 2017–2023 ($BILLION)
Table 27 MEA ANALYTICS OF THINGS MARKET REVENUE BY SERVICES, 2017–2023 ($MILLION)
Table 28 MEA ANALYTICS OF THINGS MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
Table 29 MEA ANALYTICS OF THINGS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($MILLION)
Table 30 MEA ANALYTICS OF THINGS MARKET REVENUE BY VERTICALS, 2017–2023 ($MILLION)
Table 31 LATIN AMERICA ANALYTICS OF THINGS MARKET REVENUE BY TYPE, 2017–2023 ($BILLION)
Table 32 LATIN AMERICA ANALYTICS OF THINGS REVENUE BY SOFTWARE, 2017–2023 ($BILLION)
Table 33 LATIN AMERICA ANALYTICS OF THINGS MARKET REVENUE BY SERVICES, 2017–2023 ($MILLION)
Table 34 LATIN AMERICA ANALYTICS OF THINGS MARKET REVENUE BY DEPLOYMENT MODEL, 2017–2023 ($BILLION)
Table 35 LATIN AMERICA ANALYTICS OF THINGS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($MILLION)
Table 36 LATIN AMERICA ANALYTICS OF THINGS MARKET REVENUE BY VERTICALS, 2017–2023 ($MILLION)
LIST OF CHARTS
Chart 1 PEST ANALYSIS OF ANALYTICS OF THINGS
Chart 2 RESEARCH METHODOLOGY OF ANALYTICS OF THINGS MARKET
Chart 3 IOT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 4 ANALYTICS OF THINGS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 5 ECOSYSTEM OF ANALYTICS OF THINGS
Chart 6 ARCHITECTURE OF ANALYTICS OF THINGS
Chart 7 ANALYTICS OF THINGS SEGMENTATION
Chart 8 PORTER 5 FORCES IN ANALYTICS OF THINGS MARKET
Chart 9 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES
Chart 10 DRO - IMPACT ANALYSIS OF ANALYTICS OF THINGS
Chart 11 ANALYTICS OF THINGS MARKET SHARE BY VERTICALS, 2017 AND 2023
Chart 12 HEALTHCARE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 13 GOVERNMENT & DEFENSE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 14 MANUFACTURING MARKET REVENUE, 2017–2023 ($BILLION)
Chart 15 IT & TELECOM MARKET REVENUE, 2017–2023 ($BILLION)
Chart 16 LOGISTICS & TRANSPORTATION MARKET REVENUE, 2017–2023 ($BILLION)
Chart 17 ENERGY & UTILITIES MARKET REVENUE, 2017–2023 ($BILLION)
Chart 18 RETAIL MARKET REVENUE, 2017–2023 ($BILLION)
Chart 19 OTHERS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 20 ANALYTICS OF THINGS MARKET SHARE BY APPLICATIONS, 2017 AND 2023
Chart 21 ENERGY MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 22 PREDICTIVE MAINTENANCE & ASSET MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 23 INFRASTRUCTURE MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 24 REMOTE MONITORING MARKET REVENUE, 2017–2023 ($BILLION)
Chart 25 INVENTORY MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 26 SALES & CUSTOMER MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 27 SECURITY & EMERGENCY MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 28 BUILDING AUTOMATION MARKET REVENUE, 2017–2023 ($BILLION)
Chart 29 ANALYTICS OF THINGS MARKET SHARE BY SOFTWARE, 2017 AND 2023
Chart 30 SENSOR DATA ANALYTICS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 31 IOT GATEWAY ANALYTICS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 32 NETWORK MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 33 ANALYTICS OF THINGS MARKET SHARE BY SERVICES, 2017 AND 2023
Chart 34 DEPLOYMENT & INTEGRATION MARKET REVENUE, 2017–2023 ($BILLION)
Chart 35 SUPPORT & MAINTENANCE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 36 CONSULTING SERVICES MARKET REVENUE, 2017–2023 ($BILLION)
Chart 37 MANAGED SERVICES MARKET REVENUE, 2017–2023 ($BILLION)
Chart 38 ANALYTICS OF THINGS MARKET SHARE BY DEPLOYMENT TYPE, 2017 AND 2023
Chart 39 ON-PREMISE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 40 HOSTED MARKET REVENUE, 2017–2023 ($BILLION)
Chart 41 ANALYTICS OF THINGS MARKET SHARE BY REGIONS, 2017 AND 2023
Chart 42 NORTH AMERICA MARKET REVENUE, 2017–2023 ($BILLION)
Chart 43 EUROPE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 44 ASIA PACIFIC MARKET REVENUE, 2017–2023 ($BILLION)
Chart 45 MEA MARKET REVENUE, 2017–2023 ($BILLION)
Chart 46 LATIN AMERICA MARKET REVENUE, 2017–2023 ($BILLION)
Chart 47 MICROSOFT: OVERVIEW SNAPSHOT
Chart 48 MICROSOFT: BUSINESS UNITS
Chart 49 MICROSOFT: GEOGRAPHIC REVENUE
Chart 50 MICROSOFT: SWOT ANALYSIS
Chart 51 GOOGLE: OVERVIEW SNAPSHOT
Chart 52 GOOGLE: BUSINESS UNITS
Chart 53 GOOGLE: GEOGRAPHIC REVENUE
Chart 54 GOOGLE: SWOT ANALYSIS
Chart 55 IBM: OVERVIEW SNAPSHOT
Chart 56 IBM: BUSINESS UNITS
Chart 57 IBM: GEOGRAPHIC REVENUE
Chart 58 IBM: SWOT ANALYSIS
Chart 59 CISCO: OVERVIEW SNAPSHOT
Chart 60 CISCO: BUSINESS UNITS
Chart 61 CISCO: GEOGRAPHIC REVENUE
Chart 62 CISCO: SWOT ANALYSIS
Chart 63 SAP: OVERVIEW SNAPSHOT
Chart 64 SAP: BUSINESS UNITS
Chart 65 SAP: GEOGRAPHIC PRESENCE
Chart 66 SAP: SWOT ANALYSIS
Chart 67 AMAZON: OVERVIEW SNAPSHOT
Chart 68 AMAZON: BUSINESS UNITS
Chart 69 AMAZON: GEOGRAPHIC REVENUE
Chart 70 AMAZON: SWOT ANALYSIS
Chart 1 PEST ANALYSIS OF ANALYTICS OF THINGS
Chart 2 RESEARCH METHODOLOGY OF ANALYTICS OF THINGS MARKET
Chart 3 IOT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 4 ANALYTICS OF THINGS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 5 ECOSYSTEM OF ANALYTICS OF THINGS
Chart 6 ARCHITECTURE OF ANALYTICS OF THINGS
Chart 7 ANALYTICS OF THINGS SEGMENTATION
Chart 8 PORTER 5 FORCES IN ANALYTICS OF THINGS MARKET
Chart 9 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES
Chart 10 DRO - IMPACT ANALYSIS OF ANALYTICS OF THINGS
Chart 11 ANALYTICS OF THINGS MARKET SHARE BY VERTICALS, 2017 AND 2023
Chart 12 HEALTHCARE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 13 GOVERNMENT & DEFENSE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 14 MANUFACTURING MARKET REVENUE, 2017–2023 ($BILLION)
Chart 15 IT & TELECOM MARKET REVENUE, 2017–2023 ($BILLION)
Chart 16 LOGISTICS & TRANSPORTATION MARKET REVENUE, 2017–2023 ($BILLION)
Chart 17 ENERGY & UTILITIES MARKET REVENUE, 2017–2023 ($BILLION)
Chart 18 RETAIL MARKET REVENUE, 2017–2023 ($BILLION)
Chart 19 OTHERS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 20 ANALYTICS OF THINGS MARKET SHARE BY APPLICATIONS, 2017 AND 2023
Chart 21 ENERGY MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 22 PREDICTIVE MAINTENANCE & ASSET MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 23 INFRASTRUCTURE MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 24 REMOTE MONITORING MARKET REVENUE, 2017–2023 ($BILLION)
Chart 25 INVENTORY MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 26 SALES & CUSTOMER MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 27 SECURITY & EMERGENCY MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 28 BUILDING AUTOMATION MARKET REVENUE, 2017–2023 ($BILLION)
Chart 29 ANALYTICS OF THINGS MARKET SHARE BY SOFTWARE, 2017 AND 2023
Chart 30 SENSOR DATA ANALYTICS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 31 IOT GATEWAY ANALYTICS MARKET REVENUE, 2017–2023 ($BILLION)
Chart 32 NETWORK MANAGEMENT MARKET REVENUE, 2017–2023 ($BILLION)
Chart 33 ANALYTICS OF THINGS MARKET SHARE BY SERVICES, 2017 AND 2023
Chart 34 DEPLOYMENT & INTEGRATION MARKET REVENUE, 2017–2023 ($BILLION)
Chart 35 SUPPORT & MAINTENANCE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 36 CONSULTING SERVICES MARKET REVENUE, 2017–2023 ($BILLION)
Chart 37 MANAGED SERVICES MARKET REVENUE, 2017–2023 ($BILLION)
Chart 38 ANALYTICS OF THINGS MARKET SHARE BY DEPLOYMENT TYPE, 2017 AND 2023
Chart 39 ON-PREMISE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 40 HOSTED MARKET REVENUE, 2017–2023 ($BILLION)
Chart 41 ANALYTICS OF THINGS MARKET SHARE BY REGIONS, 2017 AND 2023
Chart 42 NORTH AMERICA MARKET REVENUE, 2017–2023 ($BILLION)
Chart 43 EUROPE MARKET REVENUE, 2017–2023 ($BILLION)
Chart 44 ASIA PACIFIC MARKET REVENUE, 2017–2023 ($BILLION)
Chart 45 MEA MARKET REVENUE, 2017–2023 ($BILLION)
Chart 46 LATIN AMERICA MARKET REVENUE, 2017–2023 ($BILLION)
Chart 47 MICROSOFT: OVERVIEW SNAPSHOT
Chart 48 MICROSOFT: BUSINESS UNITS
Chart 49 MICROSOFT: GEOGRAPHIC REVENUE
Chart 50 MICROSOFT: SWOT ANALYSIS
Chart 51 GOOGLE: OVERVIEW SNAPSHOT
Chart 52 GOOGLE: BUSINESS UNITS
Chart 53 GOOGLE: GEOGRAPHIC REVENUE
Chart 54 GOOGLE: SWOT ANALYSIS
Chart 55 IBM: OVERVIEW SNAPSHOT
Chart 56 IBM: BUSINESS UNITS
Chart 57 IBM: GEOGRAPHIC REVENUE
Chart 58 IBM: SWOT ANALYSIS
Chart 59 CISCO: OVERVIEW SNAPSHOT
Chart 60 CISCO: BUSINESS UNITS
Chart 61 CISCO: GEOGRAPHIC REVENUE
Chart 62 CISCO: SWOT ANALYSIS
Chart 63 SAP: OVERVIEW SNAPSHOT
Chart 64 SAP: BUSINESS UNITS
Chart 65 SAP: GEOGRAPHIC PRESENCE
Chart 66 SAP: SWOT ANALYSIS
Chart 67 AMAZON: OVERVIEW SNAPSHOT
Chart 68 AMAZON: BUSINESS UNITS
Chart 69 AMAZON: GEOGRAPHIC REVENUE
Chart 70 AMAZON: SWOT ANALYSIS
