Connected Home, Smart Appliances, and AI-based Security 2017 - 2022




Published: June 2017   Pages: 238
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Overview:

The combination of Smart Home technologies with Smart Appliances is transforming consumer lifestyles. Tasks that were purely a drudgery in the past are now easy, and in some cases, actually engaging and fun as appliances also act as information and entertainment conduits by way of connected home solutions.

In addition, major home appliances are increasingly becoming much easier to maintain and replace as the cloud-based “as a service” model transforms products into easy to use and informative services. However, security remains a major issue. Accordingly, leading security companies are developing Artificial Intelligence (AI) based security solutions to deal with growing threats.

This research assesses the Connected Home and Smart Appliance marketplace, including major industry players, and solutions. The role of IoT and supporting technologies is evaluated with analysis of current market inhibitors and solutions. The report provides market forecasts for major market segments, sub-segments, and regional expectations for the period 2017 through 2022.

This research also includes detailed forecasts for real-time IoT analytics in the Connected Home market 2017 – 2022. This research also evaluates the technologies, market opportunities, and outlook for AI-based security in IoT. The report includes analysis of AI in specific IoT deployment scenarios such as Fog Computing architectures. The report provides AI-based IoT security forecasting for 2017 to 2022.

Target Audience:

• AI companies
• IoT solution providers
• Smart appliance companies
• Wireless device manufacturers
• Consumer electronics companies
• Embedded computing companies
• Wireless service providers of all types

Table of Contents:

Connected Home and IoT: Market Opportunities and Forecasts 2017 – 2022

1 Introduction
1.1 Scope of the Research
1.2 Target Audience
1.3 Companies in Report
2 Executive Summary
3 Overview
3.1 Market Definition
3.2 Creating Connected Home
3.3 Connected Home Fundamentals
3.4 “Smart” Products in the Connected Home and the Role of IoT
3.5 Connected Home System Elements
3.5.1 Network and Network Protocols
3.5.1.1 Wireless Mesh Network
3.5.1.2 IoT Wireless Protocols
3.6 Business Growth Challenges 2017 - 2022
3.6.1 The Need for Privacy and Individual Preference Control
3.6.2 Device Interoperability for Different Brands Remains a Challenge
3.6.3 Lack of Technical Knowledge
3.6.4 Addressing Diversified Customer Needs
3.6.5 Non IoT Compliant Devices in the Home
3.7 Benefits of Connected Home
4 Global Connected Home Market 2017 – 2022 3
4.1 Global Markets Connected Home IoT Solutions 2017 – 2022
4.2 Regional Markets for Connected Homes IoT Solutions 2017 - 2022
4.2.1 Over 300 Million Connected Homes by 2022
5 Hardware and Software Components 2017 - 2022
5.1 Emerging Connected Home Business Opportunities 2017 - 2022
5.2 Significant Business Opportunities for Cloud Service Providers and Big Data Analytics
6 Connected Home Market by End User Segment
6.1.1 Global Market 2017 - 2022
6.1.2 Regional Markets for Connected Home Entertainment 2017 - 2022
6.1.3 Regional Markets for Connected Home Security and Monitoring 2017 - 2022
6.1.4 Regional Markets for Connected Home Energy Conservation 2017 - 2022
6.1.5 Regional Markets for Connected Home Utility Monitoring 2017 - 2022
7 Real Time IoT Data Analytics Market in Connected Homes 2017 – 2022
7.1 Global Market
7.1 Market by Type
7.1.1 Market by Software and Application
7.1.1.1 Market by Intelligent Security & Control
7.1.1.2 Market by Entertainment & Communication
7.1.1.3 Market by Energy Management
7.1.1.4 Market by Infrastructure Management
7.1.2 Market by Service Segment
7.2 Market by Business Model
7.3 Market by Region
7.3.1 North America Market by Country
7.3.2 Europe Market by Country
7.3.3 APAC Market by Country
7.3.4 MEA Market by Country
7.3.5 Latin America Market by Country
8 Leading Companies, Organizations, and Solutions
8.1 Amdocs
8.2 Apple Inc.
8.3 ARM Holdings
8.4 Arrayent Inc.
8.5 Axiros
8.6 Blue Clover Devices
8.7 British Gas
8.8 Crestron Electronics Inc.
8.9 Entropic MaxLinear
8.10 Essence Group
8.11 General Electric (GE)
8.12 Hewlett-Packard (HP)
8.13 Honeywell
8.14 Icontrol network
8.15 Jasper (Cisco)
8.16 LG Electronics
8.17 Leviton Manufacturing Co., Inc.
8.18 Marvell
8.19 Nest Labs.
8.20 Netgear
8.21 Netgem
8.22 Oregan Networks Ltd.
8.23 Proto Homes
8.24 Qualcomm
8.25 Samsung Electronics
8.26 SmartThings
8.27 Technicolor
8.28 Whirlpool
8.29 Wink
8.30 Industry Alliances for IoT solutions for Connected Home
8.30.1 ZigBee Alliance
8.30.2 Z-Wave Alliance
8.30.3 Insteon
8.30.4 Digital Living Network Alliance
8.30.5 Thread
8.31 ALLSEEN Alliance
9 Appendix: IoT Standardization
9.1 Network Layer Standards
9.2 Application Layer Standards
9.3 IoT Operating Systems and APIs

Figures

FIGURE 1: Connected Home Ecosystem
FIGURE 2: Connected Home Residential Gateway
FIGURE 3: Global Markets for IoT Solutions for Connected Homes: 2017 – 2022
FIGURE 4: Connected Home Vendor Ecosystem

Tables

TABLE 1: Global Markets for IoT solutions for Connected Homes 2017 – 2022
TABLE 2: Markets for Connected Home by Region 2017 – 2022
TABLE 3: Global Number of Connected Homes 2017 – 2022
TABLE 4: Markets for H/W and S/W IoT Solutions in Connected Homes 2017 – 2022
TABLE 5: Revenue for Software and Services 2017 – 2022
TABLE 6: Markets for Connected Home by End User Segment 2017 – 2022
TABLE 7: Market for Connected Home Entertainment by Region 2017 – 2022
TABLE 8: Connected Home Security and Monitoring Market by Region 2017 – 2022
TABLE 9: Connected Home Energy Conservation Devices Market by Region 2017 – 2022
TABLE 10: Connected Utility Monitoring Devices Market by Region 2017 – 2022
TABLE 11: Global Connected Home Real Time IoT Data Analytics Market by Types 2017 – 2022
TABLE 12: Global Connected Home Real Time IoT Data Analytics Market by Software & Application Segment 2017 – 2022
TABLE 13: Global Connected Home Real Time IoT Data Analytics Market by Types of Intelligent Security & Control 2017 – 2022
TABLE 14: Global Connected Home Real Time IoT Data Analytics by Types of Entertainment & Communication 2017 – 2022
TABLE 15: Global Connected Home Real Time IoT Data Analytics Market by Types of Energy Management 2017 – 2022
TABLE 16: Global Connected Home Real Time IoT Data Analytics by Types of Infrastructure Management 2017 – 2022
TABLE 17: Global Connected Home Real Time IoT Data Analytics Market by Service Segment 2017 – 2022
TABLE 18: Global Connected Home Real Time IoT Data Analytics Market by Business Model 2017 – 2022
TABLE 19: Connected Home Real Time IoT Data Analytics Market by Region 2017 – 2022
TABLE 20: North America Connected Home Real Time IoT Data Analytics Market by Country 2017 – 2022
TABLE 21: Europe Connected Home Real Time IoT Data Analytics Market by Country 2017 – 2022
TABLE 22: APAC Connected Home Real Time IoT Data Analytics Market by Country 2017 – 2022
TABLE 23: MEA Connected Home Real Time IoT Data Analytics Market by Country 2017 – 2022
TABLE 24: Latin America Connected Home Real Time IoT Data Analytics Market by Country 2017 – 2022

Smart Appliances Market Outlook and Forecasts 2017 - 2022

1.0 INTRODUCTION
1.1 EXECUTIVE SUMMARY
1.2 RESEARCH OBJECTIVES
1.3 QUESTIONS ANSWERED
1.4 RESEARCH METHODOLOGY
1.5 TARGET AUDIENCE
1.6 COMPANIES IN REPORT
2.0 SMART APPLIANCES MARKET OVERVIEW
2.1 SMART APPLIANCE CHARACTERISTICS
2.2 MARKET DEFINITION OF SMART APPLIANCES
2.3 ROLE OF SMART GRID INTEGRATORS
2.4 ROLE OF UTILITIES
2.5 SMART APPLIANCE APPLICATIONS
2.6 SMART APPLIANCE VALUE CHAIN ANALYSIS
2.7 DESIGNING SMART APPLIANCE EXPERIENCE
2.8 CONTEXT AWARE SMART AUTOMATION
2.9 SMART APPLIANCES DATA ANALYTICS
2.10 FITTING INTO LARGER ECOSYSTEM
2.11 SMART COLLABORATION
2.12 COMPANION EXPERIENCE
2.13 SMART APPLIANCE BENEFITS
2.14 DIY CASE STUDY
3.0 SMART APPLIANCE MARKET FORCES AND DRIVER ANALYSIS
3.1 ENERGY CONSUMPTION INCREASE
3.2 MOBILE APPLICATION USER
3.3 GLOBAL HOUSING MARKET AND ECONOMIC FACTORS
3.4 GLOBAL CLIMATE AND ENERGY CONSUMPTION
3.5 DYNAMIC PRICING
3.6 DIGITAL CONSUMERIZATION AND LIFESTYLE
3.7 HIGH CAPITAL INVESTMENT
3.8 DEMAND VS. SUPPLY FACTORS
3.9 RIVAL THREAT
3.10 SMART CITY GROWTH
3.11 ARTIFICIAL INTELLIGENCE
3.12 WASTE REDUCTION
3.13 SAFETY INSIDE HOME
3.14 HOME SECURITY AND DO-IT-YOURSELF TREND
3.15 HEALTHCARE
3.16 ENERGY EFFICIENCY
3.17 SMART GRID ADOPTION
3.18 GOVERNMENT SUBSIDY
3.19 UTILITY BILL
4.0 SMART APPLIANCE MARKET ANALYSIS & FORECAST 2017 - 2022
4.1 REVENUE ANALYSIS
4.2 UNIT INSTALLATION ANALYSIS
4.3 USER ANALYSIS
4.4 PRODUCT ANALYSIS
4.4.1 SMART HOME APPLIANCE SEGMENT
4.4.2 KITCHEN APPLIANCE SEGMENT
4.4.3 SMART OFFICE APPLIANCE SEGMENT
4.5 TECHNOLOGY ANALYSIS
4.6 ANALYSIS BY REGION
4.6.1 NORTH AMERICA
4.6.2 ASIA PACIFIC
4.6.3 EUROPE
4.6.4 LATIN AMERICA
4.6.5 MIDDLE EAST
4.6.6 AFRICA
4.7 ANALYSIS BY COUNTRY
5.0 SMART APPLIANCE COMPANIES, PRODUCTS, AND SERVICES
5.1 GENERAL ELECTRIC
5.1.1 OVERVIEW
5.1.2 PRODUCTS AND OFFERINGS
5.2 LG ELECTRONICS
5.2.1 OVERVIEW
5.2.2 PRODUCTS AND OFFERINGS
5.3 PANASONIC CORPORATION
5.3.1 OVERVIEW
5.3.2 PRODUCTS AND OFFERINGS
5.4 SAMSUNG ELECTRONICS
5.4.1 OVERVIEW
5.4.2 PRODUCTS AND OFFERINGS
5.5 WHIRLPOOL CORPORATION
5.5.1 OVERVIEW
5.5.2 PRODUCTS AND OFFERINGS
5.6 ELECTROLUX
5.6.1 OVERVIEW
5.6.2 PRODUCTS AND OFFERINGS
5.7 PHILIPS
5.7.1 OVERVIEW
5.7.2 PRODUCTS AND OFFERINGS
5.8 BOSCH HAUSGERATE GMBH
5.8.1 OVERVIEW
5.8.2 PRODUCTS AND OFFERINGS
5.9 HAIER
5.9.1 OVERVIEW
5.9.2 PRODUCTS AND OFFERINGS
5.10 MIELE
5.10.1 OVERVIEW
5.10.2 PRODUCTS AND OFFERINGS
5.11 INDESIT
5.11.1 OVERVIEW
5.11.2 PRODUCTS AND OFFERINGS
6.0 CONCLUSIONS AND RECOMMENDATIONS
6.1 RECOMMENDATIONS FOR APPLIANCE MANUFACTURERS
6.2 RECOMMENDATIONS FOR TECHNOLOGY AND SERVICE PROVIDERS
6.3 RECOMMENDATIONS FOR REGULATORS
6.4 RECOMMENDATION FOR DISTRIBUTORS OR RETAILERS

Figures

Figure 1: Connected Ecosystem for Smart Appliances
Figure 2: Oven Control UI of Brillion App
Figure 3: Smart Washer and Dryer Supporting Nest

Tables

Table 1: Smart Appliance Revenue by Value Chain Partners 2017 - 2022
Table 2: Global Smart Appliances Implementation 2017 - 2022
Table 3: Smart Appliance Revenue by Types of Users 2017 - 2022
Table 4: Smart Appliance Implementation by Types of Users 2017 - 2022
Table 5: Global Smart Appliance Revenue by Segment 2017 - 2022
Table 6: Global Smart Appliance Implementation by Segment 2017 - 2022
Table 7: Smart Home Appliance Revenue by Product 2017 - 2022
Table 8: Smart Home Appliance Implementation by Product 2017 - 2022
Table 9: Smart Kitchen Appliance Revenue by Product 2017 - 2022
Table 10: Smart Kitchen Appliance Implementation by Product 2017 - 2022
Table 11: Smart Office Appliance Revenue by Product 2017 - 2022
Table 12: Smart Appliance Revenue by Technology Application 2017 - 2022
Table 13: Smart Appliance Implementation by Technology Application 2017 - 2022
Table 14: Smart Appliance Revenue by Region 2017 - 2022
Table 15: Smart Appliance Implementation by Region 2017 - 2022
Table 16: North America Smart Appliance Revenue by Segment 2017 - 2022
Table 17: North America Smart Appliance Implementation by Segment 2017 - 2022
Table 18: APAC Smart Appliance Revenue by Segment 2017 - 2022
Table 19: APAC Smart Appliance Implementation by Segment 2017 - 2022
Table 20: Europe Smart Appliance Revenue by Segment 2017 - 2022
Table 21: Europe Smart Appliance Implementation by Segment 2017 - 2022
Table 22: Latin America Smart Appliance Revenue by Segment 2017 - 2022
Table 23: Latin America Smart Appliance Implementation by Segment 2017 - 2022
Table 24: Middle East Smart Appliance Revenue by Segment 2017 - 2022
Table 25: Middle East Smart Appliance Implementation by Segment 2017 - 2022
Table 26: Africa Smart Appliance Revenue by Segment 2017 - 2022
Table 27: Africa Smart Appliance Implementation by Segment 2017 - 2022
Table 28: Smart Appliance Revenue by Country 2017 - 2022
Table 29: Smart Appliance Deployment by Country 2017 – 2022

Artificial Intelligence in IoT Security and Fraud Prevention 2017 – 2022

1 Introduction
1.1.1 Scope of Study
1.1.2 Target Audience
1.1.3 Companies in Report
2 Executive Summary
3 Overview
3.1 Cyber Security
3.2 Ramification of Cyber Security Threats
3.3 Internet of Things
3.4 General IoT Security Concerns
3.5 IoT Security Focus Areas
3.6 Distributed IoT: Fog Computing
3.6.1 Edge Computing
3.6.2 Edge Computing vs. Cluster Computing
3.6.3 Mobile Edge Computing
3.6.4 Fog Computing
3.6.5 Cloud Computing vs. Fog Computing
3.7 Specific Security Concerns with Fog Computing
4 Security Solutions in IoT
4.1 Challenges in Developing Security Solutions for IoT
4.1.1 Multivendor Nature of IoT Business
4.1.2 Lack of Standard Security Practices
4.1.3 Existing IoT Devices lack Robust Security
4.1.4 Security Threats are becoming Increasingly Sophisticated
4.1.5 IoT Data is a Bigger Concern than Equipment
4.2 Solution Areas for Securing IoT
4.3 General Steps to Secure IoT
4.3.1 Securing Device
4.3.2 Using Secure Communication Protocols
4.3.3 Securing and Protecting Data
4.4 General IoT Security Measures
4.4.1 Convergence of IT and OT Security Policies
4.4.2 Securing Mobile Devices and Applications
4.4.3 Securing IoT Cloud Infrastructure
4.5 IoT Security Issues that Drive the Need for AI
4.5.1 Fog Computing Security Concerns: An Evolving Issue
4.5.2 Beyond Safeguarding Assets: The Role of AI in Analytics and Decision Making
5 AI-based IoT Security Solution Forecasts
5.1 Global AI based Security Solutions in IoT Forecasts 2017 - 2022
5.2 Regional AI based Security Solutions in IoT Forecasts 2017 - 2022
5.2.1 North America AI based Security Solutions in IoT 2017 - 2022
5.2.2 Europe AI based Security Solutions in IoT 2017 - 2022
5.2.3 APAC AI based Security Solutions in IoT 2017 - 2022
5.2.4 Middle East and Africa AI based Security Solutions in IoT 2017 - 2022
5.2.5 Latin America AI based Security Solutions in IoT 2017 - 2022
6 Security Companies Evaluated
6.1 ARM Holdings
6.2 Attivo Networks
6.3 Bastille
6.4 Black Duck Software
6.5 Check Point Software Technologies
6.6 Cisco Systems
6.7 Cylance
6.8 IBM Corporation
6.9 Infineon Technologies AG
6.10 Intel Security Group (McAfee)
6.11 Inside Secure SA
6.12 Mocana
6.13 Neustar
6.14 Overwatch
6.15 Spirent Security
6.16 Symantec
6.17 Trend Micro
6.18 TrustPoint IT
6.19 Wedge Networks
6.20 Wurldtech Security Technologies
7 Conclusions and Recommendations

Figures

Figure 1: Fog Computing
Figure 2: Fog Computing and Cloud Architecture
Figure 3: Security in Fog Computing

Tables

Table 1: Cyber Crime in Top 15 Countries
Table 2: Cyber Crime by Category
Table 3: IoT Security Challenges and Solution Areas
Table 4: Global AI based Security Market 2017 – 2022
Table 5: North America AI based Security Market 2017 – 2022
Table 6: Europe AI based Security Market 2017 – 2022
Table 7: APAC AI based Security Market 2017 – 2022
Table 8: ME & Africa AI based Security Market 2017 – 2022
Table 9: Latin America AI based Security Market 2017 – 2022


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M2M and IoT

Artificial Intelligence

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