IoT and Blockchain Market Will Be Massively Influenced By Macroeconomic Factors 2020-2025 | International Players - IBM, Amazon, Microsoft, Intel, Cisco, Ethereum Foundation, Linux, KrypC

Global IoT and Blockchain Market Synopsis:

The exclusive research report on the Global IoT and Blockchain Market 2020-2025 examines the market in detail along with focusing on significant market dynamics for the key players operating in the market. Global IoT and Blockchain Industry research report offers granulated yet in-depth analysis of revenue share, market segments, revenue estimates and various regions across the globe.

Some of the most significant key factors driving the growth of the Global IoT and Blockchain Market are rapid growth in the adoption of Internet of Things (IoT), increasing need for Internet of Things (IoT) security, simplifying business processes and affording transparency and immutability, and increasing focus on operational efficiency. In addition, underlying opportunities for the market include higher adoption of blockchain solutions for smart contracts and digital identity and rising government initiatives.

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Significant points in table of contents: Market Definition, Market Overview, Business Introduction, Segmentation (Region Level), Segmentation (Type Level), Segmentation (Industry Level), Segmentation (Channel Level), Market Forecast Year, Segmentation Type, Segmentation Industry, Market Cost Analysis, and Conclusion. The IoT and Blockchain Market is segmented based on Product, source, application and Regions. On the basis of product, the market is sub-segmented.

Regionally, North America and Europe holds major share in Global IoT and Blockchain Market. Moreover, Asia-Pacific is expected to record higher growth rate in IoT and Blockchain market during the forecast year.

Top Major Key Players in the Global IoT and Blockchain Market:

1 IBM

2 Microsoft

3 Intel

4 Amazon

5 Cisco Systems

6 Ethereum Foundation

7 The Linux Foundation

8 Filament

9 KrypC

10 Iotex

11 Factom and More....................

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Product Type Segmentation

1 Hardware

2 Software

Industry Segmentation

1 Smart Contract

2 Data Security

3 Data Sharing/Communication

4 Asset Tracking & Management

Big Technology Industry News:

Amazon Web Services (AWS) (April 24, 2020) - AWS Announces General Availability of Amazon Augmented Artificial Intelligence (A2I) - Amazon Web Services (AWS), an Amazon.com company, announced the general availability of Amazon Augmented Artificial Intelligence (A2I), a fully managed service that makes it easy to add human review to machine learning predictions to improve model and application accuracy by continuously identifying and improving low confidence predictions. Amazon A2I helps developers add human review for model predictions to new or existing applications using reviewers from Mechanical Turk, third party vendors, or their own employees. Amazon A2I makes it easier for developers to build the human review system, structure the review process, and manage the human review workforce. For example, developers could use Amazon A2I to quickly spin up and manage a workforce of humans to review and validate the accuracy of machine learning predictions for an application that extracts financial information from scanned mortgage documents or an application that uses image recognition to identify counterfeit items online, so that the quality of results improve over time. There are no upfront commitments to use Amazon A2I, and users pay only for each review needed.

Today, machine learning provides highly accurate predictions (known as "inferences") for a variety of use cases, including identifying objects in images, extracting text from scanned documents, or transcribing and understanding spoken language. In each case, machine learning models provide an inference and a confidence score that expresses how certain the model is in its prediction. The higher the confidence number, the more the result can be trusted. Typically, when developers receive a high confidence result they can trust that the prediction is accurate, and, depending on the use case, they can use it to fully automate a process. For example, developers of a social media application that matches a user's photos to celebrity faces might rely on an 80% confidence score to generate and return a lot of entertaining matches. However, there are other times when it is strongly recommended to have both high confidence (up to 99%) and human review, such as public safety use cases involving law enforcement. In situations where the confidence score is lower than desired and/or human judgment is required, reviews can be used to validate the prediction. This interplay between machine learning and human reviewers is critical to the success of machine learning systems, but human reviews are challenging and expensive to build and operate at scale, often involving multiple workflow steps, operating custom software to manage human review tasks and results, and recruiting and managing large groups of reviewers. As a result, developers sometimes spend more time managing the human review process than building the intended application, or they have to forego having human reviews, which leads to less confidence in deploying applications that utilize machine learning.

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Major Points in Table of Contents:

Global IoT and Blockchain Market Report 2020

1 IoT and Blockchain Product Definition

2 Global IoT and Blockchain Market Manufacturer Share and Market Overview

2.1 Global Manufacturer IoT and Blockchain Shipments

2.2 Global Manufacturer IoT and Blockchain Business Revenue

2.3 Global IoT and Blockchain Market Overview

3 Manufacturer IoT and Blockchain Business Introduction

3.1 IBM IoT and Blockchain Business Introduction

3.2 Microsoft IoT and Blockchain Business Introduction

3.3 Intel IoT and Blockchain Business Introduction

3.4 Amazon IoT and Blockchain Business Introduction

3.5 Cisco Systems IoT and Blockchain Business Introduction

3.6 Ethereum Foundation IoT and Blockchain Business Introduction

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