Market Overview:
The global bot platforms software market is expected to grow at a CAGR of over 16% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for chatbots and conversational AI across various industries. Additionally, the growing trend of BYOD (Bring Your Own Device) is also contributing to the growth of this market. On-premises bot platforms software held a major share of the global bot platforms software market in 2017 and is expected to continue its dominance during the forecast period. This can be attributed to factors such as low cost and better security offered by on-premises solutions as compared to cloud-based solutions. However, cloud-based bot platforms are witnessing high growth rates due to their advantages such as scalability, flexibility, and lower TCO (Total Cost of Ownership). Large enterprises are expected to account for a major share of the global bot platforms software market during the forecast period. SMEs are also increasingly adopting chatbots and conversational AI for various purposes such as marketing, sales, support & service operations etc.
Product Definition:
A bot platform is a software that enables businesses to create and manage bots. Bot platforms provide an interface for businesses to design, deploy, and manage their bots. They also offer features such as analytics, chatbot development tools, and customer support.
On-Premises:
On-premises software is a type of Bot Platforms Software that is installed and used directly by the end-users orbot developers. It has been around for quite some time and was the original form of bot development. However, with advancements in technology, cloud computing came into picture which led to better solutions being developed using various platforms such as Google App Engine, AWS etc., leading to less deployment cost on developer’s part while providing better services to customers.
Cloud Based:
Cloud based software is a type of Bot Software that provides services such as data storage, data analytics and others on pay per use basis. The major advantage of this software is that it helps in reducing the cost associated with building and running bots which are used for various applications such as social media monitoring, news aggregators, web scraping among others.
Application Insights:
The large-enterprise segment dominated the global bot platforms software market in 2017. The segment is expected to witness a CAGR of XX% from 2018 to 2030. Large enterprises are adopting chatbots for various purposes, such as customer support and sales channel automation. Moreover, large enterprises have the resources and capabilities required to develop robust solutions that can cater to evolving business needs while driving operational efficiencies.
The small-and medium-sized enterprise (SME) application segment accounted for a significant share in 2017 due largely to factors such as availability of affordable internet packages.
Regional Analysis:
North America dominated the global market in 2017. North America is home to several large enterprises as well as small and medium-sized businesses (SMEs). The region has been witnessing an increasing adoption of cloud-based platforms by both large and small enterprises. This can be attributed to the presence of a strong IT sector in the region, which has been investing heavily in developing innovative solutions for business processes automation, digital transformation, data analytics, etc. Moreover, North American countries such as U.S.
Asia Pacific is expected to emerge as one of the fastest growing regions over the forecast period owing to significant growth opportunities offered by rapidly evolving economies such as China.
Growth Factors:
- Increasing demand for customer service and support through chatbots
- Rapid proliferation of AI-enabled chatbots
- Growing demand for bots to automate business processes
- Proliferation of bot development platforms and toolsets
- Increased focus on conversational UI design
Scope Of The Report
Report Attributes
Report Details
Report Title
Bot Platforms Software Market Research Report
By Type
On-Premises, Cloud Based
By Application
Large Enterprised, SMEs
By Companies
Amazon, Reply, Recast.AI, Pandorabots, IBM, Microsoft, Chatfuel, Google, Botsify, Conversation.one, Akamai Technologies, Botkit
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
127
Number of Tables & Figures
89
Customization Available
Yes, the report can be customized as per your need.
Global Bot Platforms Software Market Report Segments:
The global Bot Platforms Software market is segmented on the basis of:
Types
On-Premises, Cloud Based
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Large Enterprised, SMEs
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Amazon
- Reply
- Recast.AI
- Pandorabots
- IBM
- Microsoft
- Chatfuel
- Botsify
- Conversation.one
- Akamai Technologies
- Botkit
Highlights of The Bot Platforms Software Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-Premises
- Cloud Based
- By Application:
- Large Enterprised
- SMEs
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Bot Platforms Software Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Bot Platforms Software is a software that helps businesses automate their customer service. Bot Platforms Software can help businesses to create and manage bots, as well as track customer interactions.
Some of the major companies in the bot platforms software market are Amazon, Reply, Recast.AI, Pandorabots, IBM, Microsoft, Chatfuel, Google, Botsify, Conversation.one, Akamai Technologies, Botkit.
The bot platforms software market is expected to grow at a compound annual growth rate of 16%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Bot Platforms Software Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Bot Platforms Software Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Bot Platforms Software Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Bot Platforms Software Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Bot Platforms Software Market Size & Forecast, 2018-2028 4.5.1 Bot Platforms Software Market Size and Y-o-Y Growth 4.5.2 Bot Platforms Software Market Absolute $ Opportunity
Chapter 5 Global Bot Platforms Software Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Bot Platforms Software Market Size Forecast by Type
5.2.1 On-Premises
5.2.2 Cloud Based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Bot Platforms Software Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Bot Platforms Software Market Size Forecast by Applications
6.2.1 Large Enterprised
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Bot Platforms Software Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Bot Platforms Software Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Bot Platforms Software Analysis and Forecast
9.1 Introduction
9.2 North America Bot Platforms Software Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Bot Platforms Software Market Size Forecast by Type
9.6.1 On-Premises
9.6.2 Cloud Based
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Bot Platforms Software Market Size Forecast by Applications
9.10.1 Large Enterprised
9.10.2 SMEs
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Bot Platforms Software Analysis and Forecast
10.1 Introduction
10.2 Europe Bot Platforms Software Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Bot Platforms Software Market Size Forecast by Type
10.6.1 On-Premises
10.6.2 Cloud Based
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Bot Platforms Software Market Size Forecast by Applications
10.10.1 Large Enterprised
10.10.2 SMEs
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Bot Platforms Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Bot Platforms Software Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Bot Platforms Software Market Size Forecast by Type
11.6.1 On-Premises
11.6.2 Cloud Based
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Bot Platforms Software Market Size Forecast by Applications
11.10.1 Large Enterprised
11.10.2 SMEs
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Bot Platforms Software Analysis and Forecast
12.1 Introduction
12.2 Latin America Bot Platforms Software Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Bot Platforms Software Market Size Forecast by Type
12.6.1 On-Premises
12.6.2 Cloud Based
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Bot Platforms Software Market Size Forecast by Applications
12.10.1 Large Enterprised
12.10.2 SMEs
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Bot Platforms Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Bot Platforms Software Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Bot Platforms Software Market Size Forecast by Type
13.6.1 On-Premises
13.6.2 Cloud Based
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Bot Platforms Software Market Size Forecast by Applications
13.10.1 Large Enterprised
13.10.2 SMEs
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Bot Platforms Software Market: Competitive Dashboard
14.2 Global Bot Platforms Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Amazon
14.3.2 Reply
14.3.3 Recast.AI
14.3.4 Pandorabots
14.3.5 IBM
14.3.6 Microsoft
14.3.7 Chatfuel
14.3.8 Google
14.3.9 Botsify
14.3.10 Conversation.one
14.3.11 Akamai Technologies
14.3.12 Botkit