Other Emerging Technologies: Artificial Intelligence, Robotics, Big Data, Analytics, Cloud Computing, and much more …

 

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Blockchain Technology Market by Use Case, Solution, Industry Vertical, Region 2019 – 2024

Published: February 2019; Pages: 198

Pricing by License: Single-user License: $ 1,995 USD; Multi User (Up to 5 Users): $ 2,995 USD; Enterprise Site License: $ 3,995 USD; Global Enterprise License: $ 4,995 USD

Blockchain and related distributed authentication and accounting technologies are poised to transform ICT, and is so doing, cause substantial disintermediation across a wide variety of industry verticals. Lessons learned in FinTech and traditional banking from the deployment and operation of decentralized authentication, clearing and settlement will be applied towards many telecom and computing problems for the benefit of many industry verticals. The impact will be wide-ranging, including everything from investing/trading to the legal cannabis industry, and very deep in terms of changes to supply chains and relationships between vendors, customers, and peers.

For example, blockchain is being used in the fleet tracking market to identify custody and ownership of vehicles. This assists the entire ecosystem, including fleet managers/owners, customers, and insurance companies. This will also help support a robust fractional usage/ownership value chain in which vehicles are used by multiple clients. In a related example, blockchain is also used in the general asset tracking market for similar purposes such as tracking ownership/custody of trailers that are often used by multiple semi-tractors as part of shipping operations and other logistics related industry verticals.

Integration and operation of blockchain technology will redefine how many other industries operate, dramatically improving efficiencies, and reduce the cost of doing business. One important example is the Internet of Things (IoT), which is a very promising area as Mind Commerce anticipates that the use of blockchain in IoT networks/systems will be one of the key means for authenticating and authorizing transactions. We see Blockchain as a Service representing a key service offering for many market segments as a mean of solution introduction and scalability via a cloud services model.

This research examines the technology, leading companies, and solutions in the evolving blockchain ecosystem. The report evaluates current and anticipated use cases for blockchain and assesses the market potential globally, regionally, and segmented by deployment type and industry vertical for the period 2019 to 2024. The report evaluates key players, solutions, and use cases. The report also assesses the prospect of integrating blockchain with other technologies including IoT and artificial intelligence. The report includes detailed forecasts by use case, application, and industry verticals from 2019 to 2024.


Artificial Intelligence Solutions Market by Industry Verticals 2018 – 2023

Published: December 2018; Pages: 509

Pricing by License: Single-user License: $ 1,995 USD; Multi User (Up to 5 Users): $ 2,995 USD; Enterprise Site License: $ 3,995 USD; Global Enterprise License: $ 4,995 USD

Artificial Intelligence (AI) is very confusing to the average enterprise or industrial manager. Corporations and government entities care very little about AI technologies as compared to real-world solutions solved by AI software and platforms. As part of its AI research business practice, we  sponsored a recent project to identify twenty-five of the top AI companies for 2018 within the Artificial Intelligence Solutions Market.

In addition to innovation and solving real-world problems, one of the most important criterion is diversity of AI solutions, which the top 25 AI companies represent. Those companies are covered in this report and are the following: Active.Ai, Anodot, AppZen, CarePredict, Crediwatch, DeepScale, Directly, Gamaya, Haptik, Imagen Technologies, Kreditech, Neurala, NewtonX, OccamzRazor, Onfido, Petuum, Signal Media, Spatial, Specif.io, Textio, Umbo Computer Vision, vPhrase, Wade & Wendy, Woobo.io, and Yanu.

This Artificial Intelligence Solutions Market report also evaluates many other AI companies, technologies, and solutions. The report covers AI solutions in all major industry verticals including agriculture, automotive, commercial real estate, education, electronics, finance, government, healthcare, human resources, legal, manufacturing, oil & gas, and more. The report includes qualitative analysis of AI use cases and applications by industry as well as forecasts for 2018 through 2023.


Title: Quantum Intelligence: Quantum Computing and Artificial Intelligence 2018 – 2023

Published: December 2018; Pages: 537

Pricing by License: Single-user License: $ 2,995 USD; Multi User (Up to 5 Users): $ 3,995 USD; Enterprise Site License: $ 4,995 USD; Global Enterprise License:  $ 6,995 USD

While not anticipated to replace supercomputer based classical computing technologies for certain problem solving, quantum computing is well-positioned to support certain industry verticals and solve certain problems such as cybersecurity and cryptocurrencies that rely upon prime factoring. This is because binary constrained high performance computers would take an inordinate amount of time to solve come problems such as breaking down prime factors, a procedure necessary to support cryptology and blockchain technology.

Artificial Intelligence (AI) is poised to fundamentally shift the Information and Communications Technology (ICT) industry as technologies such as Machine Learning, Natural Language Processing, Deep Learning, and others dramatically enhance the performance of communications, apps, content, and digital commerce. AI will also drive new business models and create entirely new business opportunities as interfaces and efficiencies facilitate engagement that has been heretofore incomprehensible. AI further enhances the ability for Big Data Analytics and IoT platforms to provide value to each of these market segments.

Quantum computing and AI are highly synergistic with one another as the former speeds up problem solving for the latter, and the latter provides an automated learning structure for the former. This is anticipated to catalyze many benefits including faster parameter discovery, set-up, and even potentially algorithm adjustments. It is not beyond the realm of possibility that AI may at some point overcome to current hardware-centric limitations of quantum computing, allowing platforms to become less single purpose built machines.

This research assesses the technology, companies/organizations, R&D efforts, and potential solutions facilitated by quantum computing. It also evaluates the impact of quantum computing upon other major technologies and solution areas including AI, chipsets, edge computing, blockchain, IoT, big data analytics, and smart cities. It provides global and regional forecasts as well the outlook for quantum computing impact on hardware, software, applications, and services from 2018 to 2023.

This research also assesses the AI ecosystem, technologies, solutions and market outlook.  Key industry verticals covered include use of AI in Internet related services and products, Financial Services, Medical and Bio-informatics, Manufacturing, and Telecommunications.  Some of the key application areas covered include Marketing and Business Decision Making, Workplace Automation, Predictive Analysis and Forecast, Fraud Detection and Classification.

This research also evaluates AI analytics solutions within the rapidly growing enterprise and industrial data arena. The report assesses emerging business models, leading companies, and solutions. The report also analyzes how different forms of AI may be best used for problem solving. The report also evaluates the market for AI in IoT networks and systems. The report provides forecasting for unit growth and revenue for both analytics and IoT from 2018 – 2023.


Smart Buildings, Workplace Solutions and Integrated Workplace Management Systems 2018 – 2023

Published: December 2018; Pages: 628

Pricing by License: Single-user License:  $ 2,995 USD; Multi User (Up to 5 Users):  $ 3,995 USD; Enterprise Site License: $ 4,995 USD; Global Enterprise License:  $ 6,995 USD

Improving the operational effectiveness and efficiency, safeguarding assets, and establishing new value-added services are a few of the fundamental goals of Smart Buildings. Enterprise will benefit in general, as will certain management services companies that operate large industrial facilities and equipment such as Drives, Pumps, Cooling Towers, and Compressors, which are all large, expensive, and utilize a lot of electricity. Internet of Things (IoT) solutions will improve lifecycle cost management for facilities and equipment through more intelligence utilization, maintenance, and predictive replacement.

IoT technologies are also anticipated to facilitate substantial positive revenue improvements within the commercial Real Estate (CRE) sector, enabling CRE companies to charge higher rents to tenants of IoT-enabled intelligent buildings as well as leverage various capabilities to provide Smart Workplace solutions. This will justify CRE industry development of Smart Building capabilities for new construction as well as justify substantial retrofits for existing buildings.

Intelligent use of IoT technologies will be also be the key to continuous improvements in the areas of process automation. This will positively impact core work flows for enterprise and industrial work locations ranging from factories and other industrial facilities to office buildings. The use of Big Data and Analytics tools will be key to transforming data captured into actionable information.

This research evaluates the Smart Buildings marketplace including technologies, players, and solutions. The report analyzes Smart Buildings challenges and opportunities, assessing market potential and provides accompanying forecasts globally as well as regionally and by market segment for 2018 – 2023.  It includes analysis of technologies supporting building automation, IWMS, and smart workplace applications and services. Solution areas covered include 5G, AI, Data Analytics, and Edge Computing.

This research also provides an in-depth analysis of the Smart Workplace including market trends, growth drivers, market challenges, leading companies, solutions, applications, and services. It analyzes the market segments by categories, product and services, connectivity and communication technology, and regions, providing forecasts for the 2018 – 2023 period. The report also analyzes smart workplace solution providers and provides specific market recommendations. This includes and evaluation of IWMS technology and applications with an assessment of business opportunities and market outlook.


Robotics and Automation Market by Cloud Robotics, UAV/Drones, Robotics Equipment, Components, Solutions, Apps and Services

Published: November 2018; Pages: 598

Pricing by License: Single-user License: $ 2,995 USD; Multi User (Up to 5 Users):  $3,995 USD; Enterprise Site License:  $ 4,995 USD; Global Enterprise License:  $ 6,995 USD

Robotics is increasingly used to improve enterprise, industrial, and military automation. In addition, robots are finding their way into more consumer use cases as the general public’s concerns fade and acceptance grows in terms of benefits versus risks. While many consumer applications continue to be largely lifestyle oriented, enterprise, industrial and military organizations utilize both land-based and aerial robots are used for various repetitive, tedious, and/or dangerous tasks. Adoption and usage is anticipated to rapidly increase with improvements to artificial intelligence, robotic form factors and fitness for use, cloud computing and related business models, such as robotics as a service.

This research evaluates the Cloud Robotics market including technologies, companies, strategies, use cases, and solutions. The report provides global and regional forecasts for Cloud Robotics apps, services, and components from 2018 to 2023. Forecasts include the market outlook for Cloud Services support of Cloud Robotics including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Robotics as a Service (RaaS). Forecasting for Cloud Robotics by deployment model is also included covering Public Cloud, Private Cloud, Hybrid Cloud, and Community Cloud.

This research also evaluates the market for robotics equipment, components, solutions, applications, and services for industrial, enterprise, military, and consumer markets. It includes detailed forecasts for robotics by robot type, components, capabilities, solutions, and connectivity for 2018 to 2023. It also includes quantitative analysis with forecasts covering AI technology and systems by type, use case, application, and industry vertical.

Forecasts also cover each major market sector including consumer, enterprise, industrial, and government. This research also evaluates commercial and military drones market including enabling technologies, solutions, applications and services. The report assesses the market outlook and provides detailed forecasts for revenue and deployment globally, regionally, and within major countries through 2025.


Smart Cities Market: Technologies, Solutions, and Outlook for Applications and Services 2018 – 2023

Published: November 2018; Pages: 195

Pricing by License: Single-user License: $ 1,995 USD; Multi User (Up to 5 Users):  $ 2,995 USD; Enterprise Site License:  $ 3,995 USD; Global Enterprise License:   $4,995 USD

Smart cities represent a combination of solutions deployed in an urban environment to transform the administration and support of living and working environments. Accordingly, Information and Communications Technologies (ICT) are transforming at a rapid rate, driven by urbanization, industrialization of emerging economies, and the specific needs of various smart city initiatives. Smart city development is emerging as a focal point for growth drivers in several key ICT areas including: Artificial Intelligence, Internet of Things, Connected Devices, Broadband Wireless, Cloud Computing, Big Data and Analytics.

Sustainable smart city technology deployments depend upon careful planning and execution as well as monitoring and adjustments as necessary. For example, feature/functionality must be blended to work efficiently across many different industry verticals as smart city address the needs of disparate market segments with multiple overlapping and sometimes mutually exclusive requirements. This will stimulate the need for both cross-industry coordination as well as orchestration of many different capabilities across several important technologies.

This report evaluates the smart cities market including leading vendors and strategies (such as a single vendor centric approach), infrastructure, solutions, applications and services. The report analyzes market factors driving solution adoption, technology readiness and fitness for use, and other considerations. The report assesses the aforementioned factors to derive penetration and revenue to forecast market value for the period of 2018 – 2023. The report also analyses the role of technology accelerating digital transformation including AI, edge processing, 5G deployment and usage, and advanced data analytics.


Quantum Computing Market: Companies, Solutions, Market Outlook and Forecasts 2018 – 2023

Published: October 2018; Pages: 196

Pricing by License: Single-user License:  $ 1,995 USD; Multi User (Up to 5 Users):  $ 2,995 USD; Enterprise Site License:  $ 3,995 USD; Global Enterprise License:  $ 4,995 USD

Quantum computing relies upon quantum theory, which deals with physical phenomena at the nano-scale.  One of the most important aspects of quantum computing is the quantum bit (Qubit), a unit of quantum information that exists in two states (horizontal and vertical polarization) at the same time, thanks to the superposition principle of quantum physics.

While quantum computing does not utilize a faster clock-speed than classical computing, it is much faster than traditional computing infrastructure for solving certain problems as quantum computers can handle exponentially larger data sets. Accordingly, quantum computing is well-positioned to support certain industry verticals and solve certain problems such as cybersecurity and cryptocurrencies that rely upon prime factoring. Current classical computing technologies would take an inordinate amount of time to break-down prime factors to support cryptology and blockchain technology.

Currently, quantum computers are purpose-built (e.g., not general purpose as classical HPC platforms), and are built with specific problem solving in mind and computational models such as optimizing unstructured databases search via Grover’s Algorithm or identifying prime factors via Shor’s Algorithm. These two examples represent quantum computers built to support big data analytics and cryptography respectively. Unlike general-purpose computers that may be easily updated via software, quantum computers must be adapted to new algorithms to solve different types of problems such as unstructured search vs. prime factoring. In other words, a completely different quantum computer would be required to optimize big data analytics than one used to support cryptocurrency or cybersecurity.

This report assesses the technology, companies/organizations, R&D efforts, and potential solutions facilitated by quantum computing. It also evaluates the impact of quantum computing upon other major technologies and solution areas including AI, chipsets, edge computing, blockchain, IoT, big data analytics, and smart cities. The report provides global and regional forecasts as well the outlook for quantum computing impact on hardware, software, applications, and services from 2018 to 2023.


Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2018 – 2023

Published: September 2018; Pages: 264

Pricing: Single-user License:  $ 1,995 USD; Multi User (Up to 5 Users):  $ 2,995 USD; Site License:  $ 3,995 USD; Global Site License:  $ 4,995 USD

The Internet of Things (IoT) encompasses consumer, enterprise, and industrial market segments. Each of these markets has very unique needs in terms of infrastructure, devices, systems, and processes. One thing they all have in common is that they each produce massive amounts of data, most of which is of the unstructured variety, requiring Big Data technologies for management. Advanced analytics provide the ability to make raw data meaningful and useful as information for decision-making purposes.

Artificial Intelligence (AI) further enhances the ability for Big Data Analytics and IoT platforms to provide value to each of these market segments. The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks. Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service.

This report evaluates various AI technologies and their use relative to analytics solutions within the rapidly growing enterprise and industrial data arena. The report assesses emerging business models, leading companies, and solutions. The report also analyzes how different forms of AI may be best used for problem solving. The report also evaluates the market for AI in IoT networks and systems. The report provides forecasting for unit growth and revenue for both analytics and IoT from 2018 – 2023.


Industrial Convergence: 5G and Mobile Edge Computing, Artificial Intelligence, Data Analytics, and Internet of Things

Published: August 2018; Pages: 957

Pricing by License: Single-user:  $ 3,995 USD; Multi User (Up to 5): $ 4,995 USD; Enterprise Site License:  $ 5,995 USD; Global Enterprise License:  $ 6,995 USD

There is an ongoing convergence of five key technologies that are poised to transform the Information and Communications Technology (ICT) ecosystem. Those technologies are Fifth Generation (5G) cellular, Artificial Intelligence (AI), Cloud Computing (including Mobile Edge Computing), Data Analytics, and the Internet of Things (IoT). Each of these technologies will have a huge impact in their own right, both on ICT as well as on all major industry verticals that depend on telecom and IT services. However, the combination of these technologies is poised to create opportunities to significantly enhance user experiences for communications, applications, digital content, and commerce.

AI is increasingly integrated in many areas including Internet search, entertainment, commerce applications, content optimization, and robotics. Leveraging various technologies such as directional antennas, millimeter wave RF, and edge computing solutions, 5G network provides much higher data rates (in a range of several gigabits per second) as compared to 4G/LTE. Equally important, 5G will provide ultra-low latency (less than 1 millisecond delay) required for certain portable or mobile apps and services such as industrial automation, robotics, haptic Internet, and virtual reality. The management of unstructured data (e.g., Big Data), the leveraging of analytics tools to derive value, and the integration between Cloud, Internet of Things (IoT), and enterprise operational technology are key focus areas for large companies across virtually every industry vertical.

This IoT research assesses 5G technologies and solutions in support of IoT.  This IoT research also analyzes the impact of 5G in IoT across infrastructure components including hardware, processors, embedded devices, software, and cloud-based service platforms.  This research also assesses the prospects for 5G IoT across all major industry verticals.  The report includes detailed forecasts covering the aforementioned areas for the period 2020 to 2025. This research also evaluates IoT edge computing via Multi-access Edge Computing (MEC) technology, architecture and building blocks, ecosystem, market drivers, applications, solutions, and deployment challenges. The report also analyzes MEC industry initiatives, leading companies, and solutions. The report includes a market assessment and forecast for MEC users and MEC revenue globally, regionally, and within the enterprise market for years 2017 to 2022. Forecasts include MEC infrastructure (equipment, platforms, software, APIs, and services).

This research also provides an in-depth assessment of the global Big Data market, including business case issues/analysis, application use cases, vendor landscape, value chain analysis, and a quantitative assessment of the industry with forecasting from 2018 to 2023.  This report also evaluates the components of Big Data infrastructure and security framework. This research also represents the most comprehensive research covering core IoT hardware, software, and firmware as well as supporting technologies such as Artificial Intelligence and Mobile Edge Computing.   The report evaluates leading vendors, products, and services offerings.  The quantitative portion of the report provides detailed forecasts for the global and regional IoT technology market for 2018 to 2023.  The report also includes specific industry recommendations in key areas such as artificial intelligence hardware, software and services.