Sales, Marketing and Operations are most active early adopters of IoT today.
Early adopters most often initiate pilots to drive revenue and gain operational efficiencies faster than anticipated.
32% of enterprises are investing in IoT, and 48% are planning to in 2019.
IoT early adopters lead their industries in advanced and predictive analytics adoption.
These and many other fascinating insights are from Dresner Advisory Services’ latest report, 2018 IoT Intelligence® Market Study, in its 4th year of publication. The study concentrates on end-user interest in and demand for business intelligence in IoT. The study also examines key related technologies such as location intelligence, end-user data preparation, cloud computing, advanced and predictive analytics, and big data analytics. “While the market is still in an early stage, we believe that IoT Intelligence, the means to understand and leverage IoT data, will continue to expand as organizations mature in their collection and leverage of sensor level data,” said Howard Dresner, founder, and chief research officer at Dresner Advisory Services. 70% of respondents work at North American organizations (including the United States, Canada, and Puerto Rico). EMEA accounts for about 20%, and the remainder is distributed across Asia-Pacific and Latin America. Please see pages 11, 15 through 18 of the study for specifics regarding the methodology and respondent demographics.
Key insights gained from the study include the following:
Sales, Marketing and Operations are most active early adopters of IoT today. Looking to capitalize on IoT’s potential to gain real-time customer feedback on products’ and services’ performance, Sales and Marketing lead all departments in their prioritizing IoT’s value in the enterprises. 12% of Operations leaders say that IoT is critical to attaining their goals. Executive Management and Finance have yet to see the value that Sales, Marketing and Operations do.
Manufacturers see IoT as the most critical to achieving their product quality, production scheduling and supply chain orchestration goals. Insurance industry leaders also view IoT as critical to operations as their business models are now concentrating on automating inventory and safety management. Insurance firms also track vehicles in shipping and logistics fleets to gain greater visibility into how route operations can be optimized at the lowest possible risk of accidents. Financial Services and Healthcare are the next most interested in IoT with Higher Education and Business Services assign the lowest levels of importance by industry.
Investment in IoT analytics, application development and defining accurate, reliable metrics to guide development is the most critical aspect of IoT adoption today. Investments in the data supply chain including data capture, movement, data prep, and management is the second-most critical area followed by investments in IoT infrastructure. Analytics, application development, and accurate, reliable metrics guiding DevOps are consistent with the study’s finding that early adopters have an excellent track record adopting and applying advanced and predictive analytics to challenging logistical, operations, sales, and marketing problems.
IoT early adopters or advocates prioritize dashboards, reporting, IoT use cases that provide data streams integral to analytics, advanced visualization, and data mining. IoT early adopters and the broader respondent base differ most in the prioritization of IT analytics, location intelligence, integration with operational processes, in-memory analysis, open source software, and edge computing. The data reflects how IoT early adopters quickly become more conversant in emerging technologies with the goal of achieving exponential scale across analytics and IoT platforms.
The criticality of advanced and predictive analytics to all leaders surveyed is at an all-time high. Attaining a (weighted-mean) importance score of 3.6 on a 5.0 scale, advanced and predictive analytics is today considered “critical” or “very important” to a majority of respondents. Despite a mild decline in 2017, importance sentiment (the perceived criticality of advanced and predictive analytics) is on an uptrend across the five years of our study. Mastery of advanced and predictive analytics is a leading indicator of IoT adoption, indicating the potential for more analytics pilots and in-production IoT projects next year.
The most valuable features for advanced and predictive analytics apps include support for a range of regression models, hierarchical clustering, descriptive statistics, and recommendation engine support. Model management is important to more than 90% of respondents, further indicating IoT analytics scale is a goal many are pursuing. Geospatial analysis (highly associated with mapping, populations, demographics, and other web-generated data), Bayesian methods, and automatic feature selection is the next most required series of features.
Access to advanced analytics for predictive and temporal analysis is the most important usability benefit to IoT adopters today. Second is support for easy iteration, and third is a simple process for continuous modification of models. The study evaluated a detailed set of nine usability benefits that support advanced and predictive activities and processes. All nine benefits are important to respondents, with the last one of a specialist not being required important to a majority of them at 70%.
Bain predicts the combined markets of the Internet of Things (IoT) will grow to about $520B in 2021, more than double the $235B spent in 2017.
Data center and analytics will be the fastest growing IoT segment, reaching a 50% Compound Annual Growth Rate (CAGR) from 2017 to 2021.
IoT customers are planning and executing more proof of concept pilots, with many balancing their expectations regarding broader adoption.
Cloud Service Providers (CSP) are emerging as influential providers of IoT services, consulting and analytics for enterprises, leaving smaller opportunities for other providers in niche industries.
Security, integration with existing technology and uncertain returns on investment are the three biggest barriers to great IoT adoption in the enterprise.
Bain sees the need for vendors to concentrate on a few core industries with greater intensity to deliver more targeted industry solutions.
Enterprises adopting IoT are finding that vendors aren’t making enough progress on lowering the most significant barriers to adoption in the areas of security, ease of integration with existing information technology (IT), operational technology (OT) systems and uncertain returns on investment. As a result, enterprises are extending their expectations of when their use cases will reach scale and delivered results. These and many other fascinating findings are from Bain’s latest IoT research brief, Unlocking Opportunities in the Internet of Things. The PDF is downloadable here (PDF, 12 pp, no opt-in).
Additional key takeaways the research brief include the following:
The combined markets of the Internet of Things (IoT) will grow to about $520B in 2021, more than double the $235B spent in 2017. Data center and analytics will be the fastest growing IoT segment, reaching a 50% Compound Annual Growth Rate (CAGR) from 2017 to 2021. System integration, data center and analytics, network, consumer devices, connectors (or things) and legacy embedded systems are the six core technology and solution areas of the IoT market. The following graphic compares the CAGR of each area in addition to defining the worldwide revenue for each category.
Enterprises are still optimistic about IoT’s business value and potential to deliver a positive ROI; however many are planning less extensive IoT implementations by 2020. Bain finds that enterprises are still running more proofs of concept than they were two years ago. They’ve also discovered that more customers are considering trying out new use cases: 60% in 2018 compared with fewer than 40% in 2016.
Security, integration with existing technology and uncertain returns on investment are the three biggest barriers to great IoT adoption. Bain found that enterprises would buy more IoT devices and pay up to 22% more on average for them if security concerns were addressed. Integration continues to be a barrier to greater IoT adoption as well. Bain found that vendors haven’t simplified the integration of IoT solutions into business processes or IT and OT as much as enterprises have expected. The report calls for vendors to invest in learning more about typical implementation challenges in their customers’ industries so they can suggest more strategic, end-to-end solutions.
IoT vendors including CSPs generating the most sales are concentrating on two to three industries to scale the depth of their expertise quickly. More than 80% of vendors still target four to six industries which makes it difficult to reach an expertise and knowledge scale that wins new clients. Bain finds that when vendors and CSPs concentrate on two or three domains, they gain mastery of specific markets faster and can provide insights to enterprises more effectively. Gaining expertise in two to three core industries is also an excellent differentiation strategy for vendors and CSPs who compete against price-driven IoT service providers.
Interest in remote monitoring and real-time monitoring is flourishing in IoT making this one of the fastest-growing use case categories. Being able to monitor production systems to the machine or asset level remotely and having the option to turn the data stream into a real-time source of knowledge is a fast-growing area of IoT adoption today. Based on interviews with manufacturers the popularity of Overall Equipment Effectiveness (OEE) is growing, fueled by the options available for remote and real-time monitoring of production assets. Bain discovered that industrial equipment leader ABB bundles remote monitoring into its connected robotics systems and connected low-voltage networks, which allows customers to troubleshoot and quickly identify issues requiring greater attention.
Cloud Service Providers (CSP) are emerging as influential providers of IoT services, consulting and analytics for enterprises, leaving smaller opportunities for other providers in niche industries. Amazon Web Services (AWS) and Microsoft Azure have emerged as the dominant CSP leaders of the fast-moving global market for IoT software and solutions. Bain finds that CSPs are successful in lowering barriers to IoT adoption, allowing for simpler implementations and making it easier to try out new use cases and scale up quickly. The study finds that the broad horizontal services provide little optimization for industry-specific applications, leaving a significant opportunity for industry solutions from systems integrators, enterprise app developers, industry IoT specialists, device makers and telecommunications providers.
According to IDC, worldwide spending on the IoT is forecast to reach $772.5B in 2018. That represents an increase of 15% over the $674B that was spent on IoT in 2017.
The global IoT market will grow from $157B in 2016 to $457B by 2020, attaining a Compound Annual Growth Rate (CAGR) of 28.5%.
Discrete Manufacturing, Transportation and Logistics, and Utilities will lead all industries in IoT spending by 2020, averaging $40B each.
Bain predicts B2B IoT segments will generate more than $300B annually by 2020, including about $85B in the industrial sector.
Internet Of Things Market To Reach $267B By 2020 according to Boston Consulting Group.
According to IDC FutureScape: Worldwide IoT 2018 Predictions, By the end of 2020, close to 50% of new IoT applications built by enterprises will leverage an IoT platform that offers outcome-focused functionality based on comprehensive analytics capabilities.
The last twelve months of Internet of Things (IoT) forecasts and market estimates reflect enterprises’ higher expectations for scale, scope and Return on Investment (ROI) from their IoT initiatives. Business benefits and outcomes are what drives the majority of organizations to experiment with IoT and invest in large-scale initiatives. That expectation is driving a new research agenda across the many research firms mentioned in this roundup. The majority of enterprises adopting IoT today are using metrics and key performance indicators (KPIs) that reflect operational improvements, customer experience, logistics, and supply chain gains. Key takeaways from the collection of IoT forecasts and market estimates include the following:
The global IoT market will grow from $157B in 2016 to $457B by 2020, attaining a Compound Annual Growth Rate (CAGR) of 28.5%. According to GrowthEnabler & MarketsandMarkets analysis, the global IoT market share will be dominated by three sub-sectors; Smart Cities (26%), Industrial IoT (24%) and Connected Health (20%). Followed by Smart Homes (14%), Connected Cars (7%), Smart Utilities (4%) and Wearables (3%). Source: GrowthEnabler, Market Pulse Report, Internet of Things (IoT), 19 pp., PDF, free, no opt-in.
Bain predicts B2B IoT segments will generate more than $300B annually by 2020, including about $85B in the industrial sector. Advisory firm Bain predicts the most competitive areas of IoT will be in the enterprise and industrial segments. Bain predicts consumer applications will generate $150B by 2020, with B2B applications being worth more than $300B. Globally, enthusiasm for the Internet of Things has fueled more than $80B in merger and acquisition (M&A) investments by major vendors and more than $30B in venture capital, according to Bain’s estimates. Source: Bain Insights: Choosing The Right Platform For The Internet Of Things
The global IoT market is growing at a 23% CAGR of 23% between 2014-2019, enabling smart solutions in major industries including agriculture, automotive and infrastructure. ― Key challenges to growth are the security and scalability of all-new connected devices and the adherence to open standards to facilitate large-scale monitoring of different systems. Source: Export opportunities of the Dutch ICT sector to Germany (25-04-17), PDF, 95 pp., no opt-in
According to Variant Market Research, the Global Internet of Things (IoT) market is estimated to reach $1,599T by 2024, from $346.1B in 2016, attaining a CAGR of 21.1% from 2016 to 2024. Asia-Pacific is predicted to grow at the fastest CAGR over the forecast period 2016 to 2024. The growth is attributed to increasing adoption of IoT in emerging countries such as India and China, high rate of mobile and internet usage, and development of next-generation technologies. Source: Global Internet of Things (IoT) Market: Rising Adoption of Cloud Platform Noticed by Variant Market Research.
Discrete Manufacturing, Transportation and Logistics, and Utilities will lead all industries in IoT spending by 2020, averaging $40B each. Improving the accuracy, speed, and scale of supply chains is an area many organizations are concentrating on with IoT. IoT has the potential to redefine quality management, compliance, traceability and Manufacturing Intelligence. Business-to-Consumer (B2C) companies are projected to spend $25B on IoT in 2020, up from $5B in 2015. The following graphic compares global spending by vertical between 2015 and 2020. Source: Statista, Spending on the Internet of Things worldwide by vertical in 2015 and 2020 (in billion U.S. dollars).
By 2020, 50% of IoT spending will be driven by discrete manufacturing, transportation, and logistics, and utilities BCG predicts that IoT will have the most transformative effect on industries that aren’t technology-based today. The most critical success factor all these use cases depend on secure, scalable and reliable end-to-end integration solutions that encompass on-premise, legacy and cloud systems, and platforms.Source: Internet Of Things Market To Reach $267B By 2020.
The hottest application areas for IoT in manufacturing include Industrial Asset Management, Inventory and Warehouse Management and Supply Chain Management. In high tech manufacturing, Smart Products, and Industrial Asset Management are the hottest application areas. The following Forrester heat Map for 2017 shows the fastest growing areas of IoT adoption by industry. Source: IoT Opportunities, Trends, and Momentum Robert E Stroud CGEIT CRISC.
B2B spending on IoT technologies, apps and solutions will reach €250B ($296.8B) by 2020 according to a recent study by Boston Consulting Group (BCG). IoT Analytics spending is predicted to generate €20B ($23.7B) by 2020. Between 2015 to 2020, BCG predicts revenue from all layers of the IoT technology stack will have attained at least a 20% Compound Annual Growth Rate (CAGR). B2B customers are the most focused on services, IoT analytics, and applications, making these two areas of the technology stack the fastest growing. By 2020, these two layers will have captured 60% of the growth from IoT. Source: Internet Of Things Market To Reach $267B By 2020.
Manufacturers most relied on the Industrial Internet of Things (IIoT) in 2017 to help better understand machine health (32%) on the shop floor, leading to more accurate Overall Equipment Effectiveness (OEE) measurements. Changing how plant maintenance personnel will work and interact with all levels of operation (29.5%) and helping to better prevent and predict shutdowns (27.1%) are the top three use cases of IIoT according to Plant Engineering and Statista.
Improving customer experiences (70%) and safety (56%) are the two areas enterprises are using data generated from IoT solutions most often today. Gaining cost efficiencies, improving organizational capabilities, and gaining supply chain visibility (all 53%) is the third most popular uses of data generated from IoT solutions today. 53% of enterprises expect data from IoT solutions to increase revenues in the next year. 53% expect data generated from their IoT solutions will assist in increasing revenues in the next year. 51% expect data from IoT solutions will open up new markets in the next year. 42% of enterprises are spending an average of $3.1M annually on IoT. Source: 70% Of Enterprises Invest In IoT To Improve Customer Experiences.
McKinsey Global Institute estimates IoT could have an annual economic impact of $3.9T to $11.1T by 2025. Their forecast scenario includes diverse settings and use cases including factories, cities, retail environments, and the human body. Factories alone could contribute between $1.2T to $3.7T in IoT-driven value. Source: McKinsey & Company, What’s New With The Internet of Things?
Business Intelligence Competency Centers (BICC), R&D, Marketing & Sales and Strategic Planning are most likely to see the importance of IoT. Finance is considered among the least likely departments to see the importance of IoT. The study also found that sales analytics apps are increasingly relying on IoT technologies as foundational components of their core application platforms.These and many other insights are from Dresner Advisory Services’ 2017 Edition IoT Intelligence Wisdom of Crowds Series study. The study defines IoT as the network of physical objects, or “things,” embedded with electronics, software, sensors, and connectivity to enable objects to collect and exchange data. The study examines key related technologies such as location intelligence, end-user data preparation, cloud computing, advanced and predictive analytics, and big data analytics. Please see page 11 of the study for details regarding the methodology.
Manufacturing, Consulting, Business Services and Distribution/Logistics are IoT industry adoption leaders. Conversely, Federal Government, State & Local Government are least likely to prioritize IoT initiatives as very important or critical. IoT early adopters are most often defining goals with clear revenue and competitive advantages to drive initiatives. Manufacturing, Consulting, Business Services and Distribution/Logistics are challenging, competitive industries where revenue growth is often tough to achieve. IoT initiatives that deliver revenue and competitive strength quickly are the most likely to get funding and support. Source: Dresner Advisory Services’ 2017 Edition IoT Intelligence Wisdom of Crowds Series study.
IoT advocates or early adopters say location intelligence, streaming data analysis, and cognitive BI to deliver the greatest business benefit. Conversely, IoT early adopters aren’t expecting to see as significant of benefits from data warehousing as they are from other technologies. Consistent with previous studies, both the broader respondent base and IoT early adopters place a high priority on reporting and dashboards. IoT early adopters also see the greater importance of visualization and end-user self-service. Source: Dresner Advisory Services’ 2017 Edition IoT Intelligence Wisdom of Crowds Series study.
Business Intelligence Competency Centers (BICC), Manufacturing and Supply Chain are among the most powerful catalysts of BI and IoT adoption in the enterprise. The greater the level of BI adoption across the 12 functional drivers of BI adoption defined in the graphic below, the greater the potential for IoT to deliver differentiated value based on unique needs by area. Marketing, Sales and Strategic Planning are also strong driver areas among IoT advocates or early adopters. Source: Dresner Advisory Services’ 2017 Edition IoT Intelligence Wisdom of Crowds Series study.
IoT early adopters are relying on growing revenue and increasing competitive advantage as the two main goals to drive IoT initiatives’ success. The most successful IoT advocates or early adopters evangelize the many benefits of IoT initiatives from a revenue growth position first. IoT early adopters are more likely to see and promote the value of better decision-making, improved operational efficiencies, increased competitive advantage, growth in revenues, and enhanced customer service when BI adoption excels, setting the foundation for IoT initiatives to succeed. Source: Dresner Advisory Services’ 2017 Edition IoT Intelligence Wisdom of Crowds Series study.
The most popular feature requirements for advanced and predictive analytics applications include regression models, textbook statistical functions, and hierarchical clustering. More than 90% of respondents replied that these three leading features are “somewhat important” to their daily use of analytics. Geospatial analysis (highly associated with mapping, populations, demographics, and other Web-generated data), recommendation engines, Bayesian methods, and automatic feature selection is the next most required series of features. Source: Dresner Advisory Services’ 2017 Edition IoT Intelligence Wisdom of Crowds Series study.
74% of IoT advocates or early adopters say location intelligence is critical or very important. Conversely, only 26% of the overall sample ranks location intelligence at the same level of importance. One of the most promising use cases for IoT-based location intelligence is its potential to streamline traceability and supply chain compliance workflows in highly regulated manufacturing industries. In 2018, expect to see ERP and Supply Chain Management (SCM) software vendors launch new applications that capitalize on IoT location intelligence to streamline traceability and supply chain compliance on a global scale. Source: Dresner Advisory Services’ 2017 Edition IoT Intelligence Wisdom of Crowds Series study.
According to IDC FutureScape: Worldwide IoT 2018 Predictions, by the end of 2020, close to 50% of new IoT applications built by enterprises will leverage an IoT platform that offers outcome-focused functionality based on comprehensive analytics capabilities. By 2021, 75% of enterprises with a positive IoT ROI will use tactical analytics applications to reduce operating costs, but the 25% that successfully invest strategically in a decision architecture will increase their revenue share. Source: IDC FutureScape: Worldwide IoT 2018 Predictions.
The global IoT market is projected to grow to $661.74B by 2021. The Industrial IoT market is expected to grow to $123.8B by 2021, and the IoT Cloud Market is estimated to grow to $7.15B by Source: IoT Growth: A Forecast.
WiFi and Bluetooth low energy (BLE) are top contenders as preferred IoT connectivity mechanisms. However, long-range, wide-area networks (LoRaWAN) and narrowband IoT (NB-IoT) are equally poised to give a tough fight to WiFi and BLE vendors. Data analytics, correlation, and pattern recognition capabilities at point-of-data creation prove to be a key decision factor in vendor evaluation. Source: IDC Survey Reveals Significant Impact of Internet of Things Initiatives on IT Infrastructure.
According to IDC, worldwide spending on the Internet of Things (IoT) is forecast to reach $772.5B in 2018, an increase of 14.6% over the $674B that will be spent in 2017. IoT hardware will be the largest technology category in 2018 with $239B going largely toward modules and sensors along with some spending on infrastructure and security. Services will be the second largest technology category, followed by software and connectivity. Source: IDC Forecasts Worldwide Spending on the Internet of Things to Reach $772 Billion in 2018.
Cisco predicts the global IoT market will be $14.4T by 2022.
IC Insights predicts revenue from Industrial Internet IoT spending will increase from $6.4B in 2012 to $12.4B in 2015.
IoT in manufacturing market size is estimated to grow from $4.11B in 2015 to $13.49B by 2020, attaining a CAGR of 26.9%.
With the potential to streamline and deliver greater time and cost savings to a broad spectrum of enterprise tasks, opportunities for Internet of Things (IoT) adoption are proliferating. It’s encouraging to see so many industry-leading manufacturers, service providers, software and systems developers getting down to the hard work of making the vision IoT investments pay off.
IC Insights predicts revenue from Industrial Internet of Things spending will increase from $6.4B in 2012 to $12.4B in 2015, attaining a 17.98% CAGR. IC Insights predicts the Industrial Internet will lead all five categories of its forecast, with Connected Cities being the second-most lucrative, attaining a 13.16% CAGR in the forecast period. The research firm segments the industry into five IoT market categories: connected homes, connected vehicles, wearable systems, industrial Internet, and connected cities. Source: IC Insights Raises Growth Forecast for IoT.
Manufacturing (27%), retail trade (11%), information services (9%), and finance and insurance (9%) are the four industries that comprise more than half the total value of the projected $14.4T market. The remaining 14 industries range between 7% percent and 1%. The following graphic based on Cisco’s analysis of the IoT market potential by industry and degree of impact. Cisco predicts Smart Factories will contribute $1.95T of the total value at stake by 2022. Source: Embracing the Internet of Everything To Capture Your Share of $14.4 Trillion, white paper published by Cisco.
Intel Capital, Qualcomm Ventures, Foundry Group, Kleiner Perkins Caufield & Byers (KPCB), Andreessen Horowitz, Khosla Ventures, True Ventures and Cisco Investments are the leading IoT investors this year. Intel Capital is investing in a broad base of IoT-related technologies, encompassing 3D body-scanning and biometric sensors, wearable sand IoT infrastructure startups. Source: The Most Active VCs In The Internet Of Things And Their Investments In One Infographic.
Vodafone’s latest Machine-to-Machine (M2M) study found that 37% of enterprises have projects targeted to go live in 2017. Vodafone defines M2M as technologies that connect machines, devices, and objects to the Internet, turning them into ‘intelligent’ assets that can communicate. M2M enables the Internet of Things. The following graphics compare M2M adoption trends from 2013 and 2015 and by industry. Source: 2015 Vodafone M2M Barometer Report (free, opt-in reqd., 36 pp.).
New connections to the Internet of Things (IoT) will grow from about 1.7B in 2015 to nearly 3.1B in 2019. IoT applications will also fuel strong sales growth in optoelectronics, sensors/actuators, and discrete semiconductors, which are projected to reach $11.6B in 2019, attaining a CAGR of 26% during the forecast period. Source: IC Insights Internet of Things Market to Nearly Double by 2019.
IDC predicts that by 2018, 40% of the top 100 discrete manufacturers will rely on connected products to provide product as a service. 55% of discrete manufacturers are researching, piloting, or in production with IoT initiatives. By 2017, 50% of manufacturers will explore the viability of micrologistics networks to enable the promise of accelerated delivery for select products and customers. 65% of companies with more than ten plants will enable workers on the factory floor to make better business decisions through investments in operational intelligence. Source: IDC Manufacturing Insights Report courtesy of Cognizant, Transforming Manufacturing with the Internet of Things May 2015