Global Big Data, Advanced Analytics, and Artificial Intelligence Infrastructure and Services Market 2018-2023: Substantial Digitation of Major Industry Verticals

DUBLIN, Aug. 29, 2018 /PRNewswire/ —

The “Big Data, Advanced Analytics, and Artificial Intelligence: Market for Infrastructure and Services 2018 – 2023” report has been added to’s offering.

This research 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.

It also evaluates the components of Big Data infrastructure and security framework. Additional Big Data topics covered in this report include: Analysis of infrastructure and important issues such as security and privacy, a review of investments sectors and specific use cases for the Big Data market, analysis of the value chain of Big Data and the major players, assessment of the business case, growth drivers and barriers, assessment of the vendor landscape of leading players within the Big Data market.

Solutions for managing unstructured data are evolving beyond systems aligned towards primarily human-generated data (such as social networking, messaging, and browsing habits) towards increasingly greater emphasis upon machine-generated data found across many industry verticals. For example, manufacturing and healthcare are anticipated to create massive amounts of data that may be rendered useful only through advanced analytics and various Artificial Intelligence (AI) technologies. Emerging networks and systems such as IoT and edge computing will generate substantial amounts of unstructured data, which will present both technical challenges and market opportunities for operating companies and their vendors.

The AI component of this research provides a multi-dimensional view into the AI market including analysis of embedded devices and components, embedded software, and AI platforms. This research also assesses the combined Artificial Intelligence (AI) marketplace including embedded IoT and non-IoT devices, embedded components (including AI chipsets), embedded software and AI platforms, and related services. It includes an evaluation of leading solution providers including hardware, software, integrated platforms, and services.

The report includes quantitative analysis with forecasts covering AI technology and systems by type, use case, application, and industry vertical. Forecast also cover each major market sector including consumer, enterprise, industrial, and government. The report also includes specific industry recommendations with respect to Artificial Intelligence hardware, software and services.

Key Topics Covered:

Big Data Market 2018 – 2023

1 Executive Summary

2 Introduction

2.1 Big Data Overview

2.1.1 Defining Big Data

2.1.2 Big Data Ecosystem

2.1.3 Key Characteristics of Big Data

2.2 Research Background

2.2.1 Scope

2.2.2 Coverage

2.2.3 Company Focus

3 Big Data Challenges and Opportunities

3.1 Securing Big Data Infrastructure

3.1.1 Big Data Infrastructure

3.1.2 Infrastructure Challenges

3.1.3 Big Data Infrastructure Opportunities

3.2 Unstructured Data and the Internet of Things

3.2.1 New Protocols, Platforms, Streaming and Parsing, Software and Analytical Tools

3.2.2 Big Data in IoT will require Lightweight Data Interchange Format

3.2.3 Big Data in IoT will use Lightweight Protocols

3.2.4 Big Data in IoT will need Protocol for Network Interoperability

3.2.5 Big Data in IoT Demands Data Processing on Appropriate Scale

4 Big Data Technology and Business Case

4.1 Big Data Technology

4.1.1 Hadoop

4.1.2 NoSQL

4.1.3 MPP Databases

4.1.4 Others and Emerging Technologies

4.2 Emerging Technologies, Tools, and Techniques

4.2.1 Streaming Analytics

4.2.2 Cloud Technology

4.2.3 Google Search

4.2.4 Customize Analytical Tools

4.2.5 Internet Keywords

4.2.6 Gamification

4.3 Big Data Roadmap

4.4 Market Drivers

4.4.1 Data Volume & Variety

4.4.2 Increasing Adoption of Big Data by Enterprises and Telecom

4.4.3 Maturation of Big Data Software

4.4.4 Continued Investments in Big Data by Web Giants

4.4.5 Business Drivers

4.5 Market Barriers

4.5.1 Privacy and Security: The Big’ Barrier

4.5.2 Workforce Re-skilling and Organizational Resistance

4.5.3 Lack of Clear Big Data Strategies

4.5.4 Technical Challenges: Scalability & Maintenance

4.5.5 Big Data Development Expertise

5 Key Sectors for Big Data

5.1 Industrial Internet and Machine-to-Machine

5.1.1 Big Data in M2M

5.1.2 Vertical Opportunities

5.2 Retail and Hospitality

5.2.1 Improving Accuracy of Forecasts and Stock Management

5.2.2 Determining Buying Patterns

5.2.3 Hospitality Use Cases

5.2.4 Personalized Marketing

5.3 Media

5.3.1 Social Media

5.3.2 Social Gaming Analytics

5.3.3 Usage of Social Media Analytics by Other Verticals

5.3.4 Internet Keyword Search

5.4 Utilities

5.4.1 Analysis of Operational Data

5.4.2 Application Areas for the Future

5.5 Financial Services

5.5.1 Fraud Analysis, Mitigation & Risk Profiling

5.5.2 Merchant-Funded Reward Programs

5.5.3 Customer Segmentation

5.5.4 Customer Retention & Personalized Product Offering

5.5.5 Insurance Companies

5.6 Healthcare and Pharmaceutical

5.6.1 Drug Development

5.6.2 Medical Data Analytics

5.6.3 Case Study: Identifying Heartbeat Patterns

5.7 Telecommunications

5.7.1 Telco Analytics: Customer/Usage Profiling and Service Optimization

5.7.2 Big Data Analytic Tools

5.7.3 Speech Analytics

5.7.4 New Products and Services

5.8 Government and Homeland Security

5.8.1 Big Data Research

5.8.2 Statistical Analysis

5.8.3 Language Translation

5.8.4 Developing New Applications for the Public

5.8.5 Tracking Crime

5.8.6 Intelligence Gathering

5.8.7 Fraud Detection and Revenue Generation

5.9 Other Sectors

5.9.1 Aviation

5.9.2 Transportation and Logistics: Optimizing Fleet Usage

5.9.3 Real-Time Processing of Sports Statistics

5.9.4 Education

5.9.5 Manufacturing

6 The Big Data Value Chain

6.1 Fragmentation in the Big Data Value

6.2 Data Acquisitioning and Provisioning

6.3 Data Warehousing and Business Intelligence

6.4 Analytics and Visualization

6.5 Actioning and Business Process Management

6.6 Data Governance

7 Big Data Analytics

7.1 The Role and Importance of Big Data Analytics

7.2 Big Data Analytics Processes

7.3 Reactive vs. Proactive Analytics

7.4 Technology and Implementation Approaches

7.4.1 Grid Computing

7.4.2 In-Database processing

7.4.3 In-Memory Analytics

7.4.4 Data Mining

7.4.5 Predictive Analytics

7.4.6 Natural Language Processing

7.4.7 Text Analytics

7.4.8 Visual Analytics

7.4.9 Association Rule Learning

7.4.10 Classification Tree Analysis

7.4.11 Machine Learning

7.4.12 Neural Networks

7.4.13 Multilayer Perceptron (MLP)

7.4.14 Radial Basis Functions

7.4.15 Geospatial Predictive Modelling

7.4.16 Regression Analysis

7.4.17 Social Network Analysis

8 Standardization and Regulatory Initiatives

8.1 Cloud Standards Customer Council

8.2 National Institute of Standards and Technology


8.4 Open Data Foundation

8.5 Open Data Center Alliance

8.6 Cloud Security Alliance

8.7 International Telecommunications Union

8.8 International Organization for Standardization

9 Global Markets and Forecasts for Big Data

9.1 Global Big Data Markets 2018 – 2023

9.2 Regional Markets for Big Data 2018 – 2023

9.3 Leading Countries in Big Data

9.3.1 United States

9.3.2 China

9.4 Big Data Revenue by Product Segment 2018 – 2023

9.4.1 Database Management Systems

9.4.2 Big Data Integration Tools

9.4.3 Application Infrastructure and Middleware

9.4.4 Business Intelligence Tools and Analytics Platforms

9.4.5 Big Data in Professional Services

10 Key Big Data Players

10.1 Vendor Assessment Matrix

10.2 1010Data (Advance Communication Corp.)

10.3 Accenture

10.4 Actian Corporation

10.5 Alteryx

10.6 Amazon

10.7 Anova Data

10.8 Apache Software Foundation

10.9 APTEAN (Formerly CDC Software)

10.10 Booz Allen Hamilton

10.11 Bosch Software Innovations: Bosch IoT Suite

10.12 Capgemini

10.13 Cisco Systems

10.14 Cloudera

10.15 CRAY Inc.

10.16 Computer Science Corporation (CSC)

10.17 DataDirect Network

10.18 Dell EMC

10.19 Deloitte

10.20 Facebook

10.21 Fujitsu

10.22 General Electric (GE)

10.23 GoodData Corporation

10.24 Google

10.25 Guavus

10.26 HP Enterprise

10.27 Hitachi Data Systems

10.28 Hortonworks

10.29 IBM

10.30 Informatica

10.31 Intel

10.32 Jasper (Cisco Jasper)

10.33 Juniper Networks

10.34 Longview

10.35 Marklogic

10.36 Microsoft

10.37 Microstrategy

10.38 MongoDB (Formerly 10Gen)

10.39 MU Sigma

10.40 Netapp

10.41 NTT Data

10.42 Open Text (Actuate Corporation)

10.43 Opera Solutions

10.44 Oracle

10.45 Pentaho (Hitachi)

10.46 Qlik Tech

10.47 Quantum

10.48 Rackspace

10.49 Revolution Analytics

10.50 Salesforce

10.51 SAP

10.52 SAS Institute

10.53 Sisense

10.54 Software AG/Terracotta

10.55 Splunk

10.56 Sqrrl

10.57 Supermicro

10.58 Tableau Software

10.59 Tata Consultancy Services

10.60 Teradata

10.61 Think Big Analytics

10.62 TIBCO

10.63 Verint Systems

10.64 VMware (Part of EMC)

10.65 Wipro

10.66 Workday (Platfora)

11 Appendix: Big Data Support of Streaming IoT Data

11.1 Big Data Technology Market Outlook for Streaming IoT Data

11.1.1 IoT Data Management is a Ubiquitous Opportunity across Enterprise

11.1.2 IoT Data becomes a Big Data Revenue Opportunity

11.1.3 Real-time Streaming IoT Data Analytics becoming a Substantial Business Opportunity

11.2 Global Streaming IoT Data Analytics Revenue

11.2.1 Overall Streaming Data Analytics Revenue for IoT

11.2.2 Global Streaming IoT Data Analytics Revenue by App, Software, and Services

11.2.3 Global Streaming IoT Data Analytics Revenue in Industry Verticals

11.3 Regional Streaming IoT Data Analytics Revenue

11.4 Streaming IoT Data Analytics Revenue by Country

Artificial Intelligence Market 2018 – 2023

1 Introduction

1.1 Executive Summary

1.2 Research Objectives

1.3 Select Findings

1.4 Target Audience

1.5 Companies in the Report

2 Overview

2.1 Defining Artificial Intelligence

2.2 Artificial General Intelligence

2.3 Artificial Super Intelligence

2.4 Artificial Intelligence Types

2.5 Artificial Intelligence Language

2.6 Artificial Intelligence Systems

2.7 AI Outcomes and Enterprise Benefits

2.8 Conversational User Interfaces

2.9 Cognitive Computing and Swarm Intelligence

2.10 AI Market Drivers and Impact

2.11 AI Market Constraints

2.12 AI Market Opportunities

2.13 AI Market Outlook and Predictions

3 Technology and Impact Analysis

3.1 AI Technology Matrix

3.1.1 Machine Learning Deep Learning Supervised vs. Unsupervised Learning Reinforcement Learning

3.1.2 Natural Language Processing

3.1.3 Computer Vision

3.1.4 Speech Recognition

3.1.5 Context Aware Processing

3.1.6 Artificial Neural Network

3.1.7 Predictive APIs

3.1.8 Autonomous Robotics

3.2 AI Technology Readiness

3.3 Machine Learning APIs

3.3.1 IBM Watson API

3.3.2 Microsoft Azure Machine Learning API

3.3.3 Google Prediction API

3.3.4 Amazon Machine Learning API

3.3.5 BigML

3.3.6 AT&T Speech API


3.3.8 AlchemyAPI

3.3.9 Diffbot

3.3.10 PredictionIO

3.3.11 General Application Environment

3.4 AI Technology Goal

3.5 AI Tools and Approaches

3.6 Emotion AI

3.6.1 Facial Detection APIs

3.6.2 Text Recognition APIs

3.6.3 Speech Recognition APIs

3.7 IoT Application and Big Data Analytics

3.8 Data Science and Predictive Analytics

3.9 Edge Computing and 5G Network

3.10 Cloud Computing and Machine Learning

3.11 Smart Machine and Virtual Twinning

3.12 Factory Automation and Industry 4.0

3.13 Building Automation and Smart Workplace

3.14 Cloud Robotics and Public Security

3.15 Self Driven Network and Domain Specific Network

3.16 Predictive 3D Design

4 Market and Application Analysis

4.1 AI Market Landscape

4.1.1 Embedded Device and Things

4.1.2 AI Software and Platform

4.1.3 AI Component and Chipsets

4.1.4 AI Service and Deployment

4.2 AI Application Delivery Platform

4.3 AIaaS and MLaaS

4.4 Enterprise Adoption and External Investment

4.5 Enterprise AI Drive Productivity Gains

4.6 AI Patent and Regulatory Framework

4.7 Value Chain Analysis

4.7.1 Artificial Intelligence Companies

4.7.2 IoT Companies and Suppliers

4.7.3 Data Analytics Providers

4.7.4 Connectivity Infrastructure Providers

4.7.5 Components and Chipsets Manufacturers

4.7.6 Software Developers and Data Scientists

4.7.7 End Users

4.8 End User Industry and Application

4.9 AI Use Case Analysis

4.10 Competitive Landscape Analysis

5 Artificial Intelligence Market Analysis and Forecasts 2018 – 2023

5.1 Global AI Market Forecasts 2018 – 2023

5.1.1 Total AI Market

5.1.2 AI Market by Segment

5.1.3 AI Market by Hardware Segment AI Market by Embedded Device AI Market by Embedded Non-IoT Device AI Market by Embedded IoT Device AI Market by Embedded Wearable Device AI Market by Embedded Medical and Healthcare Device AI Market by Embedded Appliances AI Market by Embedded Industrial Machine AI Market by Embedded Entertainment Device AI Market by Embedded Security Device AI Market by Embedded Network Device AI Market by Embedded Connected Vehicle Device AI Market by Embedded Smart Grid Device AI Market by Embedded Military Device AI Market by Embedded Energy Management Device AI Market by Embedded Agriculture Specific Device AI Market by Embedded Industrial IoT Device Market by Embedded IoT Things and Objects Market by Embedded Components AI Market by Embedded Processors AI Embedded Chipsets Market by Technology AI Embedded Chipsets Market by Machine Learning Technology

5.1.4 AI Market by Software Segment AI Application Embedded Software Market by Application Type AI Application Embedded Software Market by Deployment Type AI Market by AI Platform

5.1.5 AI Market by Service Segment AI Market by Professional Service Segment

5.1.6 AI Market by AI Technology AI Market by Machine Learning Technology

5.1.7 AI Market by AI System

5.1.8 AI Market by AI Category

5.1.9 AI Market by End User Industry AI Market by Medical and Healthcare Application AI Market by Manufacturing Application AI Market by Consumer Electronics Application AI Market by Automotive and Transportation Application AI Market by Retail and Apparel Application AI Market by Marketing Application AI Market by FinTech Application AI Market by Building and Construction Application AI Market by Agriculture Application AI Market by Security and Surveillance Application AI Market by Government and Military Application AI Market by Human Resource Application AI Market by Law Application AI Market by Telecommunication and IT Application AI Market by Oil, Gas and Mining Application AI Market by Logistics Application AI Market by Education Application

5.1.10 AI Market by Consumer, Enterprise, Industrial, and Government Sector

5.2 Regional AI Market Forecasts 2018 – 2023

5.2.1 AI Market by Region

6 AI Embedded IoT Device and Things Deployment Forecasts 2018 – 2023

6.1 AI Embedded Connected IoT Device Deployment 2018 – 2023

6.1.1 Total AI Embedded Connected IoT Device

6.1.2 AI Embedded Connected IoT Device by IoT Sector AI Embedded Consumer IoT Device Deployment AI Embedded Consumer IoT Device Deployment by Device Type AI Embedded Consumer IoT Device Deployment by Wearable Device AI Embedded Consumer IoT Device Deployment by Smart Appliances AI Embedded Consumer IoT Device Deployment by Entertainment Device AI Embedded Consumer IoT Device Deployment by Connected Vehicle Device AI Embedded Consumer IoT Device Deployment by Energy Device Embedded Enterprise IoT Device Deployment AI Embedded Enterprise IoT Device Deployment by Device Type AI Embedded Enterprise IoT Device Deployment by Medical and Healthcare Device AI Embedded Enterprise IoT Device Deployment by Home Healthcare Device AI Embedded Enterprise IoT Device Deployment by Security Device AI Embedded Enterprise IoT Device Deployment by Network Device Embedded Industrial IoT Device Deployment AI Embedded Industrial IoT Device Deployment by Device Type AI Embedded Industrial IoT Device Deployment by Industrial Machine AI Embedded Industrial IoT Device Deployment by Smart Grid Device AI Embedded Industrial IoT Device Deployment by Agriculture Specific Device AI Embedded Government IoT Device Deployment by Device Type

6.1.3 AI Embedded Connected IoT Device Deployment by AI Technology

6.1.4 AI Embedded Connected IoT Device Deployment by AI System

6.1.5 AI Embedded Connected IoT Device Deployment by End User Industry

6.1.6 AI Embedded Connected IoT Device Deployment by Region

6.2 AI Embedded Connected IoT Things and Objects Deployment 2018 – 2023

6.2.1 Total AI Embedded Connected IoT Things and Objects

6.2.2 AI Embedded Connected IoT Things and Objects by IoT Sector

6.2.3 AI Embedded Connected IoT Things and Objects by Application

6.2.4 AI Embedded Connected IoT Things and Objects Deployment by AI Technology

6.2.5 AI Embedded Connected IoT Things and Objects Deployment by AI System

6.2.6 AI Embedded Connected IoT Things and Objects Deployment by End User Industry

6.2.7 AI Embedded Connected IoT Things and Objects Deployment by Region

7 Company Analysis

7.1 NVIDIA Corporation

7.2 IBM Corporation

7.3 Intel Corporation

7.4 Samsung Electronics Co Ltd.

7.5 Microsoft Corporation

7.6 Google Inc.

7.7 Baidu Inc.

7.8 Qualcomm Incorporated

7.9 Huawei Technologies Co. Ltd.

7.10 Fujitsu Ltd.


7.12 Juniper Networks, Inc.

7.13 Nokia Corporation

7.14 ARM Limited

7.15 Hewlett Packard Enterprise (HPE)

7.16 Oracle Corporation

7.17 SAP

7.18 Siemens AG

7.19 Apple Inc.

7.20 General Electric (GE)

7.21 ABB Ltd.

7.22 LG Electronics

7.23 Koninklijke Philips N.V

7.24 Whirlpool Corporation

7.25 AB Electrolux

7.26 Wind River Systems Inc.

7.27 Cumulocity GmBH

7.28 Digital Reasoning Systems Inc.

7.29 SparkCognition Inc.

7.30 KUKA AG

7.31 Rethink Robotics

7.32 Motion Controls Robotics Inc.

7.33 Panasonic Corporation

7.34 Haier Group Corporation

7.35 Miele

7.36 Next IT Corporation

7.37 Nuance Communications Inc.

7.38 InteliWISE

7.39 Facebook Inc.

7.40 Salesforce

7.41 Amazon Inc.

7.42 SK Telecom


7.44 Buddy

7.45 AOL Inc.

7.46 Tesla Inc.

7.47 Inbenta Technologies Inc.

7.48 Cisco Systems

7.49 MAANA

7.50 Veros Systems Inc.

7.51 PointGrab Ltd.

7.52 Tellmeplus

7.53 Xiaomi Technology Co. Ltd.

7.54 Leap Motion Inc.

7.55 Atmel Corporation

7.56 Texas Instruments Inc.

7.57 Advanced Micro Devices (AMD) Inc.

7.58 XILINX Inc.

7.59 Omron Adept Technology

7.60 Gemalto N.V.

7.61 Micron Technology

7.62 SAS Institute Inc.

7.63 AIBrian Inc.

7.64 QlikTech International AB

7.65 MicroStrategy Incorporated

7.66 Brighterion Inc.

7.67 IPsoft Inc.

7.68 24/ Inc.

7.69 General Vision Inc.

7.70 Sentient Technologies Holdings Limited

7.71 Graphcore

7.72 CloudMinds

7.73 Rockwell Automation Inc.


7.75 SoftBank Robotics Holding Corp.

7.76 iRobot Corp.

7.77 Lockheed Martin

7.78 Spacex

8 Conclusions and Recommendations

8.1 Advertisers and Media Companies

8.2 Artificial Intelligence Providers

8.3 Automotive Companies

8.4 Broadband Infrastructure Providers

8.5 Communication Service Providers

8.6 Computing Companies

8.7 Data Analytics Providers

8.8 Equipment (AR, VR, and MR) Providers

8.9 Networking Equipment Providers

8.10 Networking Security Providers

8.11 Semiconductor Companies

8.12 IoT Suppliers and Service Providers

8.13 Software Providers

8.14 Smart City System Integrators

8.15 Automation System Providers

8.16 Social Media Companies

8.17 Workplace Solution Providers

8.18 Large Businesses and SMBs

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