2019: Recap On Tech Updates That Made Headlines

The year began with major announcements in big data analytics and growth, such as making use of big data in banking and analysis on how it would …

The phenomenon of year end blues is a real thing and psychology accounts for it. A rush of winter breeze, bunch of holidays, family visits and decoration would be contributors to lightening your mood but sometimes, the opposite happens.

Psychology reasons this with factors such as less sunlight, fear of ending the year and missing things or people that aren’t around anymore. Taking cue from this, your workplace could also be experiencing a gloom with most of your co-workers on leave and the slow pace of work affecting your productivity.

What do you do when you find yourself heading towards blues? You recall every good thing that happened in the year.

Here is all the ‘Good News’ IT sector gave us in 2019:

Big data finds Kubernetes

What most IT experts express as an extremely valuable asset in the IT sector, Big Data doesn’t disappoint. The year began with major announcements in big data analytics and growth, such as making use of big data in banking and analysis on how it would change the IT industry.

Big companies such as Google Cloud and SalesForce acquired companies for data analytics and visualisation shows the growing need for managing Big data.

Development in terms of technology indicates that the application of big data across cloud systems was joined by the use of Kubernetes. Originally designed by Google, kubernetes is an open source container- orchestration system that automates the deployment of applications. It has been of tremendous help to data engineering teams for micro services.

Read more: Why Organizations Want A Kubernetes-Based Container Service For Cloud

Stronger momentum in AI growth

Artificial Intelligence and machine learning have stolen maximum limelight in 2019. There have been so many new AI excellence centres and AI courses being set up across the globe and especially in India. Facial recognition systems, AI based monitoring tools, automation and the move on firms to AI based systems, are some of the major events that outshined in 2019.

Few examples:

  • The Indian police has turned to AI based facial recognition in catching criminals and finding missing children.
  • Uber, Ola, Swiggy have also used AI based tools to understand customer preferences and monitors rides/ delivery.
  • A lot of organisations have automated their regular tasks with AI such as filtering applications. There has been a lot of development in the automated vehicle industry which used machine learning and AI to gather data for response.

This only highlights AI’s deliberation at reaching a revenue of $118.6 billion by 2025 as reports predicted.

Companies investing in IoT like never before

In the words of Jared Newman- “And just like any company that blissfully ignored the Internet at the turn of the century, the ones that dismiss the Internet of Things risk getting left behind.” 2019, however, has been a year where companies have actively indulged in bringing IoT into their workspace and developing more on that base.

  • Microsoft announced its acquisition of Express Logic that provides real time operating system called ThreadX. They have done this with the expectation of increasing their IoT device coverage which includes highly constrained devices.
  • SAP launches their Leonardo IoT platform which easily combines IoT data with data from business processes. This is remarkably good for organisations that are headed towards digital transformation.
  • Cisco, is another high profile company that has placed trust and effort in IoT development with its plan of acquiring Sentryo to improve device visibility and security of their control systems. They also revealed that they will be moving to edge based networks in this year.

The character arc of IoT will be shaping better for the coming year with companies taking interest in it like never before.

Read more: Data, Automation, IoT Will Enable Virtual Societies In 2020: Report

Laws for data privacy on the way

It has been a rather difficult year for companies that store highly sensitive user data such as Facebook, Google, WhatsApp, Twitter, etc. Along with major breaches on social media, even medical and government organisations have been vulnerable to cyber attacks and loss of data.

Read more: 7 High Profile Data Breaches That Shook 2019

2019 has pushed the need for a data protection bill aggressively. Indian government manages to bring a cabinet nod for the Personal Data Protection Bill which is being challenged in the parliament currently. The bill works towards the privacy of data of individuals and sets a framework on how organisations will be allowed to access their data.

Once passed, this bill would define what qualifies as a breach and action that will be taken against it. That’s fantastic news for citizens!

In conclusion…

What has proved to be a start of new developments in 2019 gives a base for 2020 to grow upon. The enthusiastic exploration of Data, AI and ML will fast track digital transformation for companies and regular lifestyles alike. The interest and investment of companies in certain technologies like IoT and automation can create a stronger connection for devices and also human beings. Lastly, with so many emerging technologies and their vast capabilities, legal framework of privacy laws will keep in check the sanctity of the society.


If you have an interesting article / experience / case study to share, please get in touch with us at [email protected]

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Meter Data Management Software Market Sales Revenue, Worldwide Analysis, Competitive …

A global Meter Data Management Software industry assessment study on this market employs qualitative and qualitative research methods for its …

A global Meter Data Management Software industry assessment study on this market employs qualitative and qualitative research methods for its forecast period 2019-2024. The Meter Data Management Software analysis carried out a few data and will be offering details into the stakeholders, product players and field marketing and employees intending to multiply sustainability and decrease costs regarding the global Meter Data Management Software market size, growth, and share.

The comprehensive analysis of this Meter Data Management Software market within this research report that is also including a test of ecommerce space. The industry segmentation was elucidated within this Meter Data Management Software report, along with a summary of forex trading concerning the Meter Data Management Software business size in addition to the scenario, regarding this volume and sales parameters.

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Company Coverage (Sales Revenue, Price, Gross-margin, Main Products, etc.) Report 2019:

The PI System, Oracle, Accenture, ATLAS Energy, C3 IoT, Honeywell, Dropcountr, SAP, SystemVIEW, Energyworx, ENMAT, Fluentgrid

Product Type:

  • Cloud Based
  • Web Based

Application Type:

  • Large Enterprises
  • SMEs

Significant Regions Covers:

Americas, United States, Canada, Mexico, Brazil, APAC, China, Japan, Korea, Southeast Asia, India, Australia, Europe, Germany, France, UK, Italy, Russia, Spain, Middle East & Africa, Egypt, South Africa, Israel, Turkey, GCC Countries

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Market Share:

The Meter Data Management Software report that is the report discovers sales generated by various firms over a forecast period of the market. Industry pros by taking the product earnings within time and dividing it by the revenues of this global Meter Data Management Software industry within a period that is specified. We utilize this metric to supply an overall notion of Meter Data Management Software market size and the share of businesses and its competitors. By providing Meter Data Management Software comprehensive understanding of this place a company in addition to an entrepreneur retains from the market.

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Blockchain-enabled IoT Cybersecurity Market 2019 ! Top Players are;IBM, Accenture, TraceLink …

Global Blockchain-enabled IoT Cybersecurity Market In-depth Research Report Analysis and Forecast to 2025. Global Blockchain-enabled IoT …

Global Blockchain-enabled IoT Cybersecurity Market In-depth Research Report Analysis and Forecast to 2025

Global Blockchain-enabled IoT Cybersecurity Market provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. The Global Blockchain-enabled IoT Cybersecurity Market analysis is provided for the international Industry including development trends, competitive landscape analysis, and key regions development status.

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Global Blockchain-enabled IoT Cybersecurity market competition by top manufacturers/players; IBM, Accenture, TraceLink, SAP, Oracle, MedicalChain, Nebula Genomics, Hashed Health, Doc.ai, etc.

This global research service provides extensive information about the three major disruptive technologies in the healthcare arena namely, Telehealth, mHealth and Virtual Clinical Trials.The research highlights key trends in the Telehealth and Virtual Clinical Trials sector while covering various latest mHealth platforms in the market today, in addition to the current regulatory and ethical considerations in the digital health market.

Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross market Global Blockchain-enabled IoT Cybersecurity.

Global Blockchain-enabled IoT Cybersecurity Industry report provides key statistics on the market status of the Global Blockchain-enabled IoT Cybersecurity Market manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.

Major Topics Covered in this Report –

Chapter 1 Study Coverage

Chapter 2 Executive Summary

Chapter 3 Market Size by Manufacturers

Chapter 4 Production by Regions

Chapter 5 Consumption by Regions

Chapter 6 Market Size by Type

Chapter 7 Market Size by Application

Chapter 8 Manufacturers Profiles

Chapter 9 Production Forecasts

Chapter 10 Consumption Forecast

Chapter 11 Upstream, Industry Chain and Downstream Customers Analysis

Chapter 12 Opportunities & Challenges, Threat and Affecting Factors

Chapter 13 Key Findings

Chapter 14 Appendix

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IoT Gateway Market to Make Great Impact in Near Future

IoT Gateway Market: Introduction. Increased demand for Big Data analytics is changing the IoT gateway market to an extent in recent days.

IoT Gateway Market: Introduction

Increased demand for Big Data analytics is changing the IoT gateway market to an extent in recent days. The demand of analytics boost the demand for IoT gateway in the market, as Big Data helps analyzing sensor data and starts data collection for many of the industrial machines, such as oil refineries, turbines and others. Moreover, it help organizations in optimizing their business decisions and innovating new business models, products, and service offerings.

An IoT gateway is a physical device or software program that serves as the connection point between cloud and controllers, sensors, and intelligent devices. All data moving to the cloud or vice versa, goes through the gateway, which can be either a dedicated hardware appliance or software program. An IoT gateway may also be referred to as an intelligent gateway or a control tier.

IoT Gateway Market: Drivers and Challenges

Some of the drivers for the IoT Gateway Market are improved internet connectivity in technologically advancing countries, and increased IP address space and security solutions provided in IPv6. The main feature cum driver for the IoT Gateway market is that it nullifies the security glitch of cloud by some value by providing its own level of security.

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One of the restraint for IoT Gateway Market is that the designing of this IoT gateway is complex and need skilled professionals for designing, which is not the case always.

IoT Gateway Market: Segmentation

The IoT Gateway Market can be segmented on the basis of end user, application, and region.

On the basis of end user the IoT Gateway Market can be divided into; Process Industry Discrete Industry

This segment showcase industries in which the network traffic analyzers are going to be used or by whom these network traffic analyzers are going to be used.

On the basis of application the IoT Gateway Market can be segmented into; Remote monitoring Preventive maintenance Production optimization

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This segment reflects, that in which particular applications IoT gateway can be used and the network traffic analyzer is available in the market.

IoT Gateway Market: Key Players

Some of the key players of IoT Gateway Market are: NXP Semiconductors N.V., Intel Corporation, Mitsubishi Electric Corporation, ARM Holdings, Plc, Super Micro Computer, Inc. and others.

IoT Gateway Market: Regional Overview

On the basis of geography, IoT Gateway Market can be segmented across North America, Latin America, Europe, Asia Pacific Excluding Japan, Japan, and Middle East & Africa. Among various regions, the IoT Gateway Market in North America is expected to dominate during the forecast period, owing to many companies present in the region for IoT gateways. North America region is expected to be followed by Asia Pacific, and Europe.

The report covers exhaustive analysis on: IoT Gateway Market Segments IoT Gateway Market Dynamics Historical Actual Market Size, 2012 – 2016 IoT Gateway Market Size & Forecast 2017 To 2027 Supply & Demand Value Chain IoT Gateway Market Current Trends/Issues/Challenges Competition & Companies involved IoT Gateway Market Value Chain IoT Gateway Market Drivers and Restraints

Regional analysis for IoT Gateway Market includes North America Market U.S. Canada Latin America Market Argentina Mexico Brazil Rest of Latin America Western Europe Market Germany France U.K. Spain Italy Nordic Benelux Rest of Western Europe Eastern Europe Market Poland Russia Asia Pacific Excluding Japan Market Australia and New Zealand (A&NZ) China India ASEAN Rest of Asia Pacific Japan Market Middle East and Africa Market GCC Countries North Africa South Africa Rest of MEA

The report is a compilation of first-hand information, qualitative, and quantitative assessment by industry analysts, inputs from industry experts and industry participants across the value chain. The report provides in-depth analysis of parent market trends, macro-economic indicators and governing factors along with market attractiveness as per segments. The report also maps the qualitative impact of various market factors on market segments and geographies.

Report Highlights: Detailed overview of parent market Changing market dynamics of the industry In-depth market segmentation Historical, current and projected market size in terms of value Recent industry trends and developments Competitive landscape Strategies of key players and product offerings Potential and niche segments/regions exhibiting promising growth A neutral perspective towards market performance Must-have information for market players to sustain and enhance their market footprint

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AI in IoT Market Trends 2019 | Top Companies, Advanced Technology and Future Forecasts To 2026

… GE, Salesforce, Hitachi, Uptake, SAS, Autoplant Systems Pvt Ltd., Kairos, Softweb Solutions, Arundo, C3 IoT, Anagog, Imagimob, and Thingstel.

AI in IoT Market 2019-2026

The AI in IoT market report provides a thorough evaluation of the AI in IoT market by means of an in-depth qualitative and quantitative analysis, historical data, and authenticated forecasts with respect to the market size. The analyses mentioned in this report has been derived using research methodologies, precise assumptions, and informed decision-making. With the advent of the latest market products, merger & acquisitions, and service extensions, the competitive scenario of the market is expected to intensify at a significant rate. Strategic alliances are being formed to fabricate and market products more dynamically and with efficiency.

The report about the AI in IoT industry covered the markets by analyzing the top players participating in the market. To make this report an exceptional one, several parameters are models are used which include SWOT analysis, Porters five force model, and pestle analysis.

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The study provides a 360-degree view of the global AI in IoT market on the basis of regional segmentation, which includes the current and forecast demand for the AI in IoT in North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The report also covers demand for each end-user segments in all the regions.

Some of the prominent players in the global AI in IoT market are Google, Microsoft, IBM Corporation, Amazon Web Services, Inc, Oracle , SAP, GE, Salesforce, Hitachi, Uptake, SAS, Autoplant Systems Pvt Ltd., Kairos, Softweb Solutions, Arundo, C3 IoT, Anagog, Imagimob, and Thingstel.

In the next section of the report, the gap between supply and consumption has been noted on a thorough basis. Besides, the report mentions the growth rate of the global AI in IoT market over the forecast period. In addition, the type, application, industry vertical, and end-user wise consumption tables and statistics of the market have also been provided.

The report has been gathered by making use of both primary and secondary research methodologies. A list of the major industry participants has also been mentioned in this research study, after which a primary research study has been undertaken with the enlisted key players.

The primary research methodology also studied the service offerings, M&A, distribution and manufacturing channels, and all major partnerships and collaborations worldwide, while the secondary research methodology identified all the major suppliers, distributors, and service providers functioning in the target AI in IoT market. While interviewing, the respondents were also inquired about their competitors.

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Segmentation of AI in IoT Market:

By Component, Platforms, Software Solutions, Services,

By Technology, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Others,

By Application, Transportation & Mobility, IT & Telecommunication, Energy & Utilities, Manufacturing, Retail, Healthcare, Others,

Reasons for Buying this Report

  • This report provides pin-point analysis for changing competitive dynamics
  • To understand the outcome of the end-user applications on the Global AI in IoT Market.
  • In-depth assessment of the revenue generation information, market size, share, value, volume, price, and cost.
  • It provides a forward-looking perspective on different factors driving or restraining the AI in IoT market growth
  • Key regions and countries that are likely to lead and witness the fastest growth of the global market.

    It helps in understanding the key product segments and their future

Last, this report discusses the key drivers influencing AI in IoT market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

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