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Kyndryl: Digital Transformation capabilities assessment

  • Digital Transformation
  • DXSP
  • 3D Printing and Additive Manufacturing
  • Internet of Things
  • Artificial Intelligence
  • Hyperconnectivity
  • Human Machine Interface
  • Data Sharing
  • Autonomous Robotic Systems
  • Distributed Ledger
  • Edge Computing
  • Robotic Process Automation
  • Product Lifecycle Management
  • AI
  • distributed ledger
  • blockchain
  • RPA
  • Generative AI
  • IT Infrastructure
  • Cloud
  • AI Ops
  • Private Wireless
  • Private 5G
  • Network Managed Services
  • IT Ops
  • Suruchi Dhingra
This report examines the capabilities of Kyndryl in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Kyndryl across 11 technology areas and dozens of functions, to determine its core strengths for meeting enterprise needs. The 11 technology families in which the vendor’s capabilities are assessed are IoT, Hyperconnectivity, Human Machine Interface, Artificial Intelligence, Distributed Ledger, Data Sharing, Product Lifecycle Management, Robotic Process Automation, Edge Computing, Autonomous Robotic Systems, and 3D Printing & Additive Manufacturing. While these might not encompass every possible technology that organisations might need in order to pursue a Digital Transformation, they certainly represent the most disruptive, and therefore the ones of which enterprises should be most aware. The report includes rating across each of the technology areas and functional capabilities (specialised hardware, general hardware, software products, integrated solutions, application development, systems integration and project management, specialist services, field & operational services) using Transforma Insight’s four-level universal rating system for vendors in Digital Transformation. Internet of Things, for instance, spans hardware, software, application development, implementation, field services, and specialist services. For each of the 92 combinations of function and technology, Kyndryl is rated for whether its capabilities are ‘Emerging’, ‘Significant’ or ‘Market Leading’ (or ‘None’). This rating is based on both the credibility of the solution and the position of the offering in the market (e.g. market share).
  • Kyndryl

        Infrastructure Monitoring: Retrofitting IoT solutions to extend infrastructure life

        • Bridges
        • construction projects
        • dams
        • infrastructure
        • levees
        • LoRa
        • monitoring
        • pipelines
        • public infrastructure
        • rail infrastructure
        • reservoirs
        • roads
        • satellite
        • tailings dams
        • tunnels
        • weirs
        • Matt Arnott
        • Nikita Singh
        This report provides Transforma Insights’ view on the Infrastructure Monitoring IoT market. The report covers details on the evolution of infrastructure monitoring solutions. IoT plays an important role in monitoring infrastructure, including dams, tunnels, bridges, and pipelines by making sure that they can continue to function properly by detecting any faults at very early stages. This not only ensures a longer life for infrastructure, but it also proves to be of great economic value to the organisations deploying these IoT solutions with projects creating significant savings for operators. The report provides a detailed definition of the sector, analysis of market development and profiles of the key vendors in the space. It also provides a summary of the current status of adoption and Transforma Insights’ ten-year forecasts for the market. The forecasts include analysis of the number of IoT connections by geography, the technologies used (including splits by 2G, 3G, 4G, 5G, LPWA, short range, satellite, and others), as well as the revenue split between module, value-added connectivity, and services. A full set of forecast data, including country-level forecasts, sector breakdowns and public/private network splits, is available through the IoT Forecast tool.
        • Geokon
        • Infrastructure IoT (Bentley Systems)
        • IoT Bridge
        • OptaSense
        • Paessler
        • Resensys
        • Strabag AG-Afcons JV
        • Worldsensing
        • Viotel
        • Internet of Things
        • Hyperconnectivity
          • Construction
          • Electricity, Gas, Steam & A/C
          • Mining & Quarrying
          • Water Supply & Waste Management
          • Government
          • Information & Communication
          • Transportation & Storage

          Global Private 5G regulations and spectrum status

          • Internet of Things
          • IoT
          • Communications Service Providers
          • CSPs
          • Mobile Network Operators
          • MNO
          • Mobile Virtual Network Operators
          • MVNO
          • Private 5G
          • Regulations
          • Spectrum
          • MmWave
          • Millimetre wave
          • Mid band spectrum
          • Low band spectrum
          • Private Networks
          • Non-Public Networks
          • Network Slicing
          • Dedicated Networks
          • Suruchi Dhingra
          This report examines the private cellular network (particularly, 5G) spectrum availability across countries. It gives latest updates on the dedicated spectrum availability in countries across the world and extends the topic to include information on the regulations and guidelines around private 5G, the cost of acquiring the spectrum, and the type of allocation models common amongst the countries. Additionally, it includes research findings on the status on number of private networks being operated in each country (subject to availability) and industries that are deploying private networks the most. The countries included in this report include the UK, Germany, France, the Netherlands, Norway, Spain, Finland, Sweden, Switzerland, India, China, Singapore, Taiwan, South Korea, Japan, the US, Canada, Australia, Bahrain, and Brazil.
          • Department of Telecommunications (DoT)
          • MIT China
          • South Korean Government
          • Internet of Things
          • Hyperconnectivity
          • Artificial Intelligence
            • Information & Communication

            Monetisation of public 5G networks through IoT

            • 3GPP
            • 5G
            • 5G SA
            • API
            • Cellular-V2X
            • edge computing
            • eMBB
            • enhanced Mobile Broadband
            • eRedCap
            • forecast
            • Internet of Things
            • IoT
            • LPWA
            • LTE-M
            • massive Machine Type Communications
            • mMTC
            • Mobile Network Operator
            • MNO
            • NB-IoT
            • NEF
            • Network Exposure Function
            • network slicing
            • Non-Terrestrial Network
            • NTN
            • Quality on Demand
            • RedCap
            • Ultra Reliable Low Latency Communications
            • URLLC
            • V2X
            • Matt Hatton
            Mobile Network Operators (MNOs) have invested significant sums in upgrading to 5G. In increasing numbers they are also making the further step up to upgrading to a 5G Standalone (5G SA) core network. Much of the promise of 5G comes from the latter, giving MNOs the potential to deliver richer features and functionality including real-time latency, improved reliability, and ‘Quality on Demand’ type features. The combination of Network Exposure Function (NEF) and APIs also offers the potential to monetise 5G’s promise of the programmable network. In this report we explore the likely true revenue potential for MNOs by applying the additional capabilities of 5G (and particularly 5G SA) to the Internet of Things. The report starts with analysis of the key elements of 3GPP Releases 15 to 19 that relate to 5G and IoT. The includes the key functions of 5G New Radio in the form of enhanced Mobile Broadband (eMBB), Ultra Reliable Low Latency Communications (URLLC) and massive Machine Type Communications (mMTC). It also considers features such as network slicing, 5G RedCap, Cellular-V2X, Non-Terrestrial Networks, Network Exposure Function, APIs, edge computing, and much more. Under each sub-section the report considers how the features and functionality could be applied to IoT. The report then goes on to quantify the market opportunity associated with all of the various elements. For the period 2025-2040 it provides a view on the IoT connectivity revenue that will be attributable to each of the features. It does so in three main categories: ‘5G SA’ (which uses the additional features provided by the core network upgrade), ‘5G NSA’ (which have a requirement for the capabilities of the 5G access network but not advanced SA capabilities) and finally ‘5G future-proof’ (which would be addressable with 4G, or below, networks, and will migrate to 5G by default rather than because they demand any 5G functionality). The modelling is done as an assessment of what proportion of the connectivity revenue of a European or North American MNO (along with their channels) might be accounted for by each of the revenue types. Finally, it examines some of the contingencies and dependencies that might influence the timing of such revenue opportunities and provides a set of conclusions and recommendations for MNOs.
            • 3 Austria
            • Amazon Web Services
            • AT&T
            • Bridge Alliance
            • CAMARA
            • China Mobile
            • Deutsche Telekom
            • Ericsson
            • Frequentis
            • GSM Association
            • Hrvatski Telekom
            • Nokia
            • NTT Docomo
            • Open Gateway
            • Oracle
            • Orange
            • Qualcomm
            • Quectel
            • Siemens
            • Singtel
            • Soracom
            • Telefonica
            • Telia
            • T-Mobile
            • Verizon Communications
            • Vodafone
            • Hyperconnectivity
            • Internet of Things
            • Edge Computing

                Wi-Fi HaLow: Significant potential to support long-range and low-powered IoT applications

                • Hyperconnectivity
                • IoT
                • LoRaWAN
                • LTE-M
                • NB-IoT
                • Wi-Fi
                • Wi-Fi 4
                • Wi-Fi HaLow
                • Sigfox
                • Paras Sharma
                This report discusses ‘Wi-Fi HaLow’, a Wi-Fi standard developed primarily to support IoT applications that require long range and extended battery life, which otherwise would mostly use LPWA technologies such as NB-IoT, LTE-M, Sigfox, and LoRaWAN. We discuss the energy-saving features of Wi-Fi HaLow that make it a potential contender technology for low-power and long-distance applications. The high data throughput and low latency capabilities offered by Wi-Fi HaLow allow businesses to consider the deployment of this network technology in contexts that might not suit the aforementioned LPWA technologies that transmit and receive small packets of data at low speeds. We examine the capabilities of Wi-Fi HaLow and discuss some of the stand-out features that make it suitable for a range of IoT use-cases. In addition, we compare Wi-Fi HaLow with the established LPWA network technologies namely, LoRaWAN, Sigfox, LTE-M, and NB-IoT, considering deployment parameters such as range, data rate, latency, power consumption, and chipset cost. The report also lists multiple real-world field trials that have tested the performance of Wi-Fi HaLow in multiple IoT contexts such as smart cities, smart warehouses, smart buildings, smart farming, smart school campuses, smart homes, and smart industrial facilities. Finally, the report lists some of the major vendors that provide Wi-Fi HaLow chipsets and modules.
                • ALFA Network
                • AsiaRF Morse Micro
                • Silex Technology
                • Newracom
                • Quectel
                • Internet of Things
                • Hyperconnectivity

                    Child & Pet Tracking: Nearly 31 million child and pet tracking devices in 2033, generating USD2.2 billion in revenue

                    • Internet of Things
                    • IoT
                    • Hyperconnectivity
                    • child tracker
                    • pet tracker
                    • smart tracker
                    • location tracker
                    • real-time monitoring
                    • Paras Sharma
                    • Matt Arnott
                    • Nikita Singh
                    This report examines the opportunities associated with the IoT use cases of child and pet tracking. These are still at a nascent stage with a considerable market opportunity. A key factor behind the growth of child tracking devices is parental concern over child safety. These devices allow parents to track the location of their children remotely and provide peace of mind that if an emergency were to occur, their child could be found. However, the market is hindered by the availability of devices such as low-cost smartwatches. The size of the market is also limited because children who are most in need of remote tracking (those who lack independence) are also most likely to be under guardian supervision, making tracking redundant in daily life. The Pet tracking market is gaining traction due to greater availability of devices and existing concerns about pets running away or being stolen. These tracking devices, usually in the form of pet collars, let users track their pet’s location and may also allow them to view their past routes, daily activities, and health parameters. The report provides a detailed definition of the sector, analysis of market development and profiles of the key vendors in the space. It also provides a summary of the current status of adoption and Transforma Insights’ ten-year forecasts for the market. The forecasts include analysis of the number of IoT connections by geography, the technologies used (including splits by 2G, 3G, 4G, 5G, LPWA, short range, satellite and others), as well as the revenue split between module, value-added connectivity and services.
                    • Amosense
                    • AngelSense
                    • Apple
                    • Kippy
                    • Life360 (Jiobit)
                    • SkoolSmart
                    • Weenect
                    • Whistle
                    • Internet of Things
                    • Hyperconnectivity
                      • Consumer

                      Global AIoT Forecast, 2023-2033

                      • Internet of Things
                      • IoT
                      • Artificial Intelligence
                      • AI
                      • AIoT
                      • forecast
                      • Matt Arnott
                      • Jim Morrish
                      Artificial Intelligence (AI) and the Internet of Things (IoT) are two of the most impactful emerging technologies of our times. Both of these technologies individually unlock huge potential for improved efficiency and enhanced value propositions. In this report we provide our quantitative assessment of the opportunity associated with AIoT.
                        • Artificial Intelligence
                        • Internet of Things

                            Position Paper – Emerging security regulations for the Internet of Things

                            • IoT
                            • Internet of Things
                            • Regulations
                            • SBOM
                            • Software Bill of Materials
                            • CRA
                            • Cyber Resilience Act
                            • NIS2
                            • Cybersecurity.
                            • Jim Morrish
                            This report, sponsored by Somos, examines a range of new and emerging regulations that will impact the Internet of Things (IoT), particularly with regard to the need to update software onboard IoT devices to maintain security and ongoing regulatory compliance.
                              • Internet of Things

                                  Precision Specialist Robots: 23.7 million connected devices in 2033, mostly supporting human collaboration

                                  • 3D Printing
                                  • Additive Manufacturing
                                  • Collaborative robots
                                  • Cobots
                                  • Industrial robots
                                  • Internet of Things
                                  • IoT
                                  • Hyperconnectivity
                                  • Mobile robots
                                  • Precision Specialist Robots
                                  • Robotics
                                  • Robots
                                  • Surgical robots
                                  • Paras Sharma
                                  • Matt Arnott
                                  • Rohan Bansal
                                  Globally, the deployment of Precision Specialist Robots is being driven across various industries by increasing blue-collar wages, ageing working populations, and the falling costs of robots. Additionally, the availability of 5G and private networks is encouraging the use of robots to perform complex and time-critical tasks such as remote surgery; it is being used in the healthcare industry to support healthcare professionals in multiple use cases including minimally invasive surgery. The Additive Manufacturing market is also growing, due to the ability to enable rapid prototyping, faster time to market, reduced material wastage, and on-demand production of customisable offerings. Some countries are promoting the use of additive manufacturing to decrease the dependency on imported parts and components, bringing greater efficiency to the supply chain. This report summarises the status and forecasts from the Precision Specialist Robots Application Group found in the Transforma Insights Connected Things IoT forecast. The report provides a description of what is covered in the Application Group, as well as top-level figures from the forecast that provide details on how many connected devices will be installed, the types of communication technology used and the total revenue opportunity. Full details are accessible through the IoT Forecast tool.
                                  • ABB
                                  • Airbus
                                  • Alfred Kärcher
                                  • Audi
                                  • Boeing
                                  • Carbon
                                  • Daimler
                                  • Denso
                                  • Fanuc
                                  • Fu Ling Zha Cai
                                  • Grupo Antolin
                                  • HiETA
                                  • Hoedtke
                                  • Kuka
                                  • Mercedez Benz
                                  • MFBZ toolcraft
                                  • Mitsubishi
                                  • Nachi Fujikoshi
                                  • Plastibell
                                  • Stratasys
                                  • Tong Yang Group
                                  • Universal Robots
                                  • Yaskawa
                                  • Internet of Things
                                  • Hyperconnectivity
                                  • Autonomous Robotic Systems
                                  • 3D Printing and Additive Manufacturing
                                    • Agriculture, Forestry & Fishing
                                    • Construction
                                    • Health & Social Care
                                    • Manufacturing
                                    • Mining & Quarrying
                                    • Professional, Scientific & Technical
                                    • Education

                                    Communications Service Providers are deploying AI to revolutionise their operations

                                    • Artificial Intelligence
                                    • AI
                                    • Internet of Things
                                    • IoT
                                    • Communications Service Providers
                                    • CSPs
                                    • Mobile Network Operators
                                    • MNO
                                    • Mobile Machine Learning
                                    • ML
                                    • chatbots
                                    • LLM
                                    • generative AI
                                    • Network Optimisation
                                    • 5G Networks
                                    • Fibre Networks
                                    • Suruchi Dhingra
                                    The telecommunications industry is making a major shift in priorities. Artificial intelligence (AI) is becoming a key topic of discussion amongst telcos and they are keen on developing AI solutions to support their evolving needs. It is becoming crucial to solve the challenge of growing complexity of networks, improve network performance, and make networks more reliable. Beyond networks, it is also becoming immensely useful for enhancing customer experience, fraud detection, and improving overall operational efficiency. Recently, we published a report on ‘How are MNOs and MVNOs harnessing AI for their IoT operations’ where we looked at how CSPs are using AI within their IoT operations. In this report, we cover the topic in a broader scope and consider all the types of AI initiatives undertaken by CSPs in their internal operations to reduce network congestion, enhance network quality and enhance their operational efficiency. We have summarised the findings of this research to show the main approaches that have been adopted to date and the ones that are gaining traction. The report identifies the main ways in which Communications Service Providers are using AI to support their own operations, ranging from administration to networks.
                                    • AT&T
                                    • Bharti Airtel
                                    • China Mobile
                                    • Deutsche Telekom
                                    • Globe Telecom
                                    • KDDI Corporation
                                    • Ooredoo
                                    • Orange
                                    • Saudi Telecom Company (STC)
                                    • Singtel
                                    • Softbank
                                    • Telefonica
                                    • Telenor
                                    • Telstra
                                    • Verizon Communications
                                    • Vodafone
                                    • Artificial Intelligence
                                    • Internet of Things
                                    • Hyperconnectivity
                                      • Information & Communication

                                      Below is a list of Transforma Insights' research reports on Digital Transformation, IoT, AI and other disruptive technologies. Our 'Essential' subscribers can access a select sub-set of the reports as 'Essential Reading'. User Group members can access exclusive 'User Group' content. Some reports (e.g. Peer Benchmarking) are only available to 'Corporate' users. For details on how to upgrade your subscriptions, check your Profile page. If you would like to speak with our analysts about the content of any report, or any other topic, please contact enquiries@transformainsights.com.