AI Enabled Customer Relationship Management (CRM) and IoT Enabled Enterprise Resource Planning (ERP) Market Outlook and Forecasts 2017 - 2022




Published: March 2017   Pages: 189
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Overview:

There are two powerful technologies transforming internal enterprise processes as well as external customer-facing business processes. These technologies are Internet of Things (IoT) enabled Enterprise Resource Planning (ERP) and Artificial Intelligence (AI) enabled Chatbots respectively. IoT software and systems are transforming ERP solutions through significantly enhanced abilities to connect people, processes, data, and things in one repository. Chatbots represent an advanced technology for automated Customer Relationship Management (CRM) solutions.

This research evaluates key ERP vendors and their IoT initiatives, the transition from traditional ERP to IoT enabled ERP, and the impact of IoT enabled ERP on enterprise as a whole. This research also provides and in-depth assessment of the AI enabled Chatbots market including Chatbot companies strategic initiatives, Chatbot CRM solutions, applications, and services. It also evaluates current Chatbot developments and role of Machine Learning and other AI technologies.

The research includes Global and Regional forecasts for IoT enabled ERP software and services as well as Chatbot forecasts for the period 2017 – 2022. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Select Report Findings:

  • Chatbots are moving aggressively beyond CRM in leading industry verticals
  • Stand-alone Chatbots are expected to contribute 40% of the market by 2022
  • Consumer Chatbot applications will continue to lead the market through 2022 with $744M in revenue
  • There will be an incremental $49.9 billion market opportunity for IoT ERP software and services by 2022
  • About 50% of the global small, mid-sized, and large enterprises will deploy some kind of IoT enabled ERP by 2022
  • Virtually all enterprise functions will require significant transformation to prepare for and maintain IoT enabled ERP

Target Audience:

  • Network operators
  • IoT solution providers
  • ERP solution providers
  • Next generation UI companies
  • Artificial Intelligence companies
  • Systems integration companies
  • Cloud and AI solution providers

Table of Contents:

IoT Enabled Enterprise Resource Planning (ERP): Market Outlook and Forecasts 2017 – 2022

1 Overview
1.1 Enterprise Resource Planning
1.2 Enterprise Software and ERP Market
1.3 Digital Economy, Machine Generated Data, and ERP
1.4 Big Data, Analytics and ERP
1.5 ERP for IoT and IoT Enabled ERP
1.6 Enterprise ERP and IoT Enabled ERP
2 IoT ERP Ecosystem, Business Implications, and Case Studies
2.1 IoT Enables ERP to Connect People, Process, Data, and Things
2.2 IoT Impacts CRM and Manufacturing Too
2.3 IoT Possesses Challenges on ERP
2.4 Role of ERP on IoT and Potential Challenge
2.5 Role of IoT Cloud Platform
2.6 Artificial Intelligence (AI) to Transform ERP Solutions
2.7 The Built to Order Model for SaaS ERP
2.8 Business Implication of IoT Enabled ERP
2.8.1 Autopilot for Business Application
2.8.2 Deliver Real Time Actionable Insight
2.8.3 Cloud Manufacturing
2.9 IoT enabled ERP Case Study
2.9.1 Eneco Smart Meter Case
2.9.2 London Underground Case
3 IoT Enabled ERP Software and Service Revenue Forecast 2017 - 2022
3.1 Global Market Forecast 2017 – 2022
3.1.1 IoT Enabled ERP Software and Service Revenue
3.1.2 IoT ERP Software and Service Revenue by Type
3.1.3 IoT ERP Software and Service Revenue by Functional Areas
3.1.4 IoT ERP Software and Service Revenue by Business Model
3.1.5 IoT ERP Software and Service Revenue by Type of Enterprises
3.1.6 IoT ERP Software and Service Revenue by Industry Vertical
3.1.7 IoT ERP Software Providers Market Share
3.2 Regional Market Forecast 2017 – 2022
3.2.1 IoT ERP Software and Service Revenue by Region
3.2.2 NA IoT ERP Software and Service Revenue: Type, Functions, Business Model, Enterprise, Industry Vertical, and Country
3.2.3 APAC IoT ERP Software and Service Revenue: Type, Functions, Business Model, Enterprise, Industry Vertical, and Country
3.2.4 Europe IoT ERP Software and Service Revenue: Type, Functions, Business Model, Enterprise, Industry Vertical, and Country
3.2.5 LA IoT ERP Software and Service Revenue: Type, Functions, Business Model, Enterprise, Industry Vertical, and Country
3.2.6 MEA IoT ERP Software and Service Revenue: Type, Functions, Business Model, Enterprise, Industry Vertical, and Country
4 ERP Vendor Analysis
4.1 SAP
4.1.1 SAP IoT
4.1.2 SAP Acquisition of Plat.One
4.1.3 SAP and Bosch for Advance IoT
4.1.4 SAP and Vodafone for Advance IoT Platform
4.2 Enterox
4.2.1 Enterox Cloud and ERP Packages
4.3 Mysoft Sage X3
4.3.1 Sage X3 and IoT
4.4 Oracle Corporation
4.4.1 Oracle ERP Cloud
4.5 Fidelity National Information Services
4.6 Fiserv Inc.
4.7 Infor
4.8 Intuit Inc.
4.9 Microsoft Corporation
4.9.1 Microsoft Dynamics ERP
4.10 Ericsson
4.10.1 Cloud Based M2M Solution in Partnership with SAP HANA
4.11 McKesson Corporation
4.11.1 McKesson ERP Healthcare Solution
4.12 Cerner Corporation
5 Conclusions and Recommendations
5.1.1 Recommendations for ERP Software and Service Providers
5.1.2 Recommendations for Enterprise
6 Appendix: More on ERP Functions
6.1 Supply Chain Management
6.2 Customer Relationship Management
6.3 Product Lifecycle Management
6.4 Human Capital Management
6.5 Warehouse Management
6.6 Asset Management
6.7 Financial Management
6.8 Order Management
6.9 Project Management
6.10 Inventory Management

Figures

Figure 1: Global Enterprise Software and Service Revenue 2017 – 2022
Figure 2: Global ERP Software and Service Revenue 2017 – 2022
Figure 3: IoT Enabled ERP Functions
Figure 4: Global IoT ERP Software and Service Revenue 2017 - 2022
Figure 5: SAP HANA Cloud Platform Architecture for IOT
Figure 6: Enterox Cloud Framework including IoT
Figure 7: Sage X3 Cloud Framework

Tables

Table 1: Global IoT ERP Software and Service Revenue by Type 2017 – 2022
Table 2: Global IoT ERP Software and Service Revenue by Functional Areas 2017 - 2022
Table 3: Global IoT ERP Software and Service Revenue by Business Model 2017 - 2022
Table 4: Global IoT ERP Software and Service Revenue by Type of Enterprises 2017 - 2022
Table 5: Global IoT ERP Software and Service Revenue by Industry Vertical 2017 - 2022
Table 6: IoT ERP Software Provider Market Share 2016 and 2022
Table 7: IoT ERP Software and Service Revenue by Region 2017 - 2022
Table 8: North America IoT ERP Software and Service Revenue by Type 2017 - 2022
Table 9: North America IoT ERP Software and Service Revenue by Functional Areas 2017 – 2022
Table 10: North America IoT ERP Software and Service Revenue by Business Model 2017 – 2022
Table 11: North America IoT ERP Software and Service Revenue by Type of Enterprises 2017 – 2022
Table 12: North America IoT ERP Software and Service Revenue by Industry Vertical 2017 – 2022
Table 13: North America IoT ERP Software and Service Revenue by Country 2017 – 2022
Table 14: APAC IoT ERP Software and Service Revenue by Type 2017 - 2022
Table 15: APAC IoT ERP Software and Service Revenue by Functional Areas 2017 – 2022
Table 16: APAC IoT ERP Software and Service Revenue by Business Model 2017 – 2022
Table 17: APAC IoT ERP Software and Service Revenue by Type of Enterprises 2017 – 2022
Table 18: APAC IoT ERP Software and Service Revenue by Industry Vertical 2017 – 2022
Table 19: APAC IoT ERP Software and Service Revenue by Country 2017 – 2022
Table 20: Europe IoT ERP Software and Service Revenue by Type 2017 - 2022
Table 21: Europe IoT ERP Software and Service Revenue by Functional Areas 2017 – 2022
Table 22: Europe IoT ERP Software and Service Revenue by Business Model 2017 – 2022
Table 23: Europe IoT ERP Software and Service Revenue by Type of Enterprises 2017 – 2022
Table 24: Europe IoT ERP Software and Service Revenue by Industry Vertical 2017 – 2022
Table 25: Europe IoT ERP Software and Service Revenue by Country 2017 – 2022
Table 26: Latin America IoT ERP Software and Service Revenue by Type 2017 - 2022
Table 27: Latin America IoT ERP Software and Service Revenue by Functional Areas 2017 – 2022
Table 28: Latin America IoT ERP Software and Service Revenue by Business Model 2017 – 2022
Table 29: Latin America IoT ERP Software and Service Revenue by Type of Enterprises 2017 – 2022
Table 30: Latin America IoT ERP Software and Service Revenue by Industry Vertical 2017 – 2022
Table 31: Latin America IoT ERP Software and Service Revenue by Country 2017 – 2022
Table 32: MEA IoT ERP Software and Service Revenue by Type 2017 - 2022
Table 33: MEA IoT ERP Software and Service Revenue by Functional Areas 2017 – 2022
Table 34: MEA IoT ERP Software and Service Revenue by Business Model 2017 – 2022
Table 35: MEA IoT ERP Software and Service Revenue by Type of Enterprises 2017 – 2022
Table 36: MEA IoT ERP Software and Service Revenue by Industry Vertical 2017 – 2022
Table 37: MEA IoT ERP Software and Service Revenue by Country 2017 – 2022

Chatbots and Artificial Intelligence: Market Assessment, Application Analysis, and Forecasts 2017 – 2022

1 Introduction
1.1 Intelligent Chatbots
1.2 Chatbots vs. Virtual Personal Assistants
1.3 Chatbots and Conversational UI
1.4 Role of Machine Learning and AI
1.5 Chatbots vs. Traditional Apps
1.6 Chatbots Feature Functionality
2 Intelligent Chatbots Ecosystem Analysis
2.1 Chatbot Open Development Ecosystem
2.2 Types of Chatbots
2.3 Chatbot Architecture
2.3.1 Generative Models
2.3.2 Retrieval Based Models
2.3.3 Pattern Based Heuristics
2.4 Machine Learning and Response Generation in Chatbots
2.5 Chatbot Ecosystem
2.5.1 Native Chatbots
2.5.2 Third Party Chatbots
2.5.3 Corporate Chatbots
2.5.4 Chatbots Delivery Channel
2.5.5 Technology Assistants
2.5.6 Chatbots Application Industry
2.6 Beyond Chatbots: Messaging is the New Voice
2.7 Potential Business Impact of Chatbots
2.7.1 Establish Scalable Customer Service
2.7.2 Develop Customer Intelligence
2.7.3 Small Businesses become More Competitive
2.7.4 Improve Customer Navigational Experience
2.7.5 Personalized Sales and Marketing
2.8 Developing Chatbots: Building Blocks and Costs Analysis
2.8.1 Building Blocks of Chatbots Development
2.8.2 Develop Prerequisite Capabilities
2.8.3 Development Options along with Costing
2.8.4 Choosing a Self Service Solution
2.9 Chatbots to Make Significant Impact on Global Economy
2.9.1 Impact on Global Job Market through 2021
2.10 Investment in Chatbot Ecosystem 2011 – 2016
2.11 Investment of Slack in Chatbots Ecosystem
3 Chatbot Market: SWOT Analysis and Use Cases
3.1 SWOT Analysis
3.2 Emerging Chatbot Use Cases
3.2.1 Dialog Systems
3.2.2 Toy Devices
3.2.3 Customer Service
3.2.4 Expedite Purchase Process
3.2.5 Improve Workplace Productivity
3.2.6 Hotel Booking and Travel Agent
3.2.7 Gaming Expert 41
3.2.8 Weather Forecaster
3.2.9 News teller
3.2.10 Job Hunter
3.2.11 Marketer
3.2.12 Hair Stylist and Retailer
3.2.13 Food Order Taker
3.2.14 Finance Adviser
3.2.15 Teacher
3.2.16 Legal Advisor
3.2.17 Salesman
3.3 Market Learning from Comma.ai Self-Driving Car Device Failure
3.4 Amazon Echo Services to Hotel Suites
4 Chatbots Market Analysis and Forecasts
4.1 Global Intelligent Chatbots Market 2017 – 2022
4.2 Chatbot Market by Type 2017 – 2022
4.2.1 Stand Alone Chatbots
4.2.2 Web-Based Chatbots
4.3 Chatbot Market by Application 2017 – 2022
4.3.1 Enterprise Application Market
4.3.2 Consumer Application Market
4.3.3 Industrial Application Market
4.4 Chatbot Market by Industry Use 2017 – 2022
4.4.1 Banks and other Financial Institutions
4.4.2 Retail and E-commerce
4.4.3 Healthcare
4.4.4 Automotive and Transportation
4.4.5 IT and Telecom
4.4.6 Education
4.4.7 Manufacturing, Robotics and Heavy Industry
4.4.8 Social Media and Commerce
4.5 Chatbot Market by Value Chain Partners 2017 – 2022
4.5.1 Chatbots Software Developers
4.5.2 System Integrators and Collaborators
4.5.3 Connectivity and Platform Provider
4.5.4 Service Integrator and Provider
4.6 Chatbots Market by Business Model 2017 – 2022
4.6.1 Premium Subscription
4.6.2 Software Development Fees
4.6.3 Managed Service Fees
4.6.4 White Label Licensing
4.7 Chatbot Market by Region 2017 – 2022
4.7.1 North America Market
4.7.2 APAC Market
4.7.3 European Market
4.7.4 Latin America Market
4.7.5 Middle East and Africa (MEA) Market
5 Chatbot Company and Solution Analysis
5.1 Anboto Group
5.1.1 Overview
5.1.2 Solution and Strategic Initiatives
5.1.2.1 Virtual Assistant for Customer Service
5.1.2.2 Intelligent Chatbots
5.1.2.3 Automatic Email Response and Management
5.1.2.4 Social Module
5.1.2.5 Feedback Management and Customer Engagement Suite
5.2 Apple Inc.
5.2.1 Overview
5.2.2 Apple Siri and Embedded Strategy
5.3 Artificial Solutions Ltd.
5.3.1 Overview
5.3.2 Solution and Strategic Initiatives
5.3.2.1 Teneo Platform
5.3.2.2 Natural Language Interface
5.3.2.3 Digital Employee
5.3.2.4 Natural Language Analytics
5.4 iDAvatars (IDA)
5.4.1 Overview
5.4.2 3D Virtual Assistant and Insyte Dashboard
5.5 Creative Virtual Ltd.
5.5.1 Overview
5.5.2 V-Person Technology
5.6 CX Company
5.6.1 Overview
5.6.2 Digital CX Solutions
5.7 eGain Corporation
5.7.1 Overview
5.7.2 Solution and Strategic Initiatives
5.8 Eidoserve Inc.
5.8.1 Overview
5.8.2 Abby and IVR Solution
5.9 Existor
5.9.1 Overview
5.9.2 Existor Chatbots
5.10 Google
5.10.1 Overview
5.10.2 Solution and Strategic Initiatives
5.10.2.1 Google Now
5.10.2.2 Google Assistant
5.10.2.3 Google Home
5.10.2.4 Embedded Strategy
5.10.2.5 Allo
5.10.2.6 DeepMind Acquisition
5.11 Intel Corporation
5.11.1 Overview
5.11.2 Solution and Strategic Initiatives
5.11.2.1 Digital Personal Assistant for the Enterprise
5.11.2.2 Intel AI Acquisition Strategy
5.11.2.3 Intel Ginger
5.11.2.4 Next gen AI Chip Strategy
5.11.2.5 Intel JARVIS
5.12 Microsoft Corporation
5.12.1 Overview
5.12.2 Solutions and Strategic Initiatives
5.12.2.1 Microsoft Key Five Assets Strategy
5.12.2.2 Microsoft Cortana
5.12.2.3 Genee and Other Acquisition Strategy
5.12.2.4 Tay Bot
5.12.2.5 Xiaoice
5.12.2.6 Microsoft AI and Research Group
5.12.2.7 Industry collaboration
5.13 Speaktoit Inc.
5.13.1 Overview
5.13.2 Solution and Strategic Initiatives
5.13.2.1 Assistant.ai
5.13.2.2 Api.ai
5.14 InteliWISE SA
5.14.1 Overview
5.14.2 Solution and Strategic Initiatives
5.14.2.1 Virtual Assistant Chatbot
5.14.2.2 Facebook Messenger Bot
5.14.2.3 Proactive LiveChat
5.14.2.4 Omnichannel Contact Center
5.14.2.5 eGOV
5.15 Facebook Inc.
5.15.1 Overview
5.15.2 Solution and Strategic Initiatives
5.15.2.1 Facebook M
5.15.2.2 DeepText: Text Understanding Engine
5.15.2.3 Third Party Integration
5.16 Saleforce
5.16.1 Overview
5.16.2 Solution and Strategic Initiatives
5.16.3 Einstein
5.16.4 Acquisition Strategy
5.17 Amazon
5.17.1 Overview
5.17.2 Solution and Strategic Initiatives
5.17.2.1 Amazon Alexa Voice
5.17.2.2 Amazon Echo
5.18 SK Telecom Co, Ltd.
5.18.1 Overview
5.18.2 Solution and Strategic Initiatives
5.18.2.1 NUGU
5.18.2.2 Inclusion of Conexant Systems AI Capabilities
5.19 motion.ai
5.20 Indigo
5.21 Vokul
5.22 24me
5.23 Robin
5.24 Wunderlist
5.25 Cubic
5.26 Hound
5.27 SIRIUS
5.28 Yahoo Inc.
5.28.1 Overview
5.28.2 Yahoo Chatbots on Kik and Facebook Messenger
5.29 Helpshift
5.30 Haptik, Inc.
5.31 Aspect Software, Inc.
5.31.1 Aspect Mila: Workforce Chatbot
5.31.2 Aspect Chatbots based on ITR
5.32 Inbenta Technologies Inc.
5.32.1 Inbenta Chatbots to Skype and Facebook Messenger
5.32.2 Inbenta Chatbot Development Platform
5.33 Twilio
5.33.1 Twilio Supports HelloVote Chatbot
5.33.2 Exclusive Interview of Twilio with Mind Commerce
5.33.2.1 Overall Twilio’s Comments on Bots:
5.33.2.2 Twilio’s Responds to Key Questions
5.34 IBM Watson
6 Conclusions and Recommendations
6.1 Chatbots to Redefine HCI: Facebook and WhatsApp to take the Lead
6.2 Marketing Guide for the Future
6.3 AI Chatbot Apps
6.4 Recommendations to Market Players
6.4.1 Chatbots for Consumer Market
6.4.2 Integration and Convergence in Enterprise and Industrial Segment
6.4.3 Recommendations to Investors

Figures

Figure 1: Architecture of Intelligent Chatbots
Figure 2: Chatbot Ecosystem
Figure 3: Global Economic Impact of Intelligent Chatbots and VPA 2017 - 2022
Figure 4: Chatbots Investment 2011 - 2016
Figure 5: Global Intelligent Chatbots Market 2017 – 2022

Tables

Table 1: Slack Invests in Fourteen Chatbot Companies
Table 2: Intelligent Chatbots Market SWOT Analysis Chart
Table 3: Global Intelligent Chatbot Market by Chatbot Type 2017 – 2022
Table 4: Global Intelligent Chatbot Market by Sector 2017 - 2022
Table 5: Global Enterprise Chatbots: Large Enterprise vs. SMBs 2017 – 2022
Table 6: Global Intelligent Chatbot Market by Industry Use 2017 – 2022
Table 7: Global Intelligent Chatbot Market by Value Chain Partner 2017 – 2022
Table 8: Global Intelligent Chatbots Market by Business Model 2017 - 2022
Table 9: Global Intelligent Chatbot Market by Region 2017 - 2022
Table 10: North America Intelligent Chatbot Market by Leading Country 2017 – 2022
Table 11: APAC Intelligent Chatbot Market by Leading Country 2017 – 2022
Table 12: Europe Intelligent Chatbot Market by Leading Country 2017 – 2022
Table 13: Latin America Intelligent Chatbot Market by Leading Country 2017 – 2022
Table 14: MEA Intelligent Chatbot Market by Leading Country 2017 – 2022


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