Market Overview:
The global collective intelligence platform market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for collective intelligence platforms from residential, government & public, and commercial applications. North America is expected to hold the largest share of the global collective intelligence platform market in 2018, followed by Europe and Asia Pacific. However, Asia Pacific is projected to witness the highest CAGR during the forecast period due to rising adoption of collective intelligence platforms in countries such as China and India.
Product Definition:
A Collective Intelligence Platform (CIP) is a technology-enabled system that enables groups of people to work together more effectively and efficiently. A CIP typically includes features such as online collaboration tools, social networking capabilities, and communication tools. The purpose of a CIP is to help groups of people share knowledge and ideas, make better decisions, and accomplish tasks more quickly and effectively than they could working alone.
Software:
Software is the part of technology that helps in carrying out instructions. It can be defined as a set of procedures, algorithms, libraries and tools which are used to build applications and systems for carrying out desired tasks. Software is an integral part of every industry including manufacturing, healthcare & life sciences, IT & telecom etc., Software Defined Radio (SDR) enables software defined radio by decoupling hardware from its control station which makes it easier to develop new applications with different frontends.
Services:
The services are used in the platform to provide users with an interface that allows them to access data from different sources and analyze it. The service is also used by companies for data extraction from various systems into a central location for analysis.
Data Extraction: Data extraction is the process of pulling information out of one system and putting it into another where it can be analyzed or utilized as raw material.
Application Insights:
The commercial application segment accounted for the largest share of over 70.0% in 2017. The growth can be attributed to the rising adoption of AI across various industries such as financial services, healthcare, and banking, e-commerce and retail among others. Moreover, companies are investing in developing their intellectual property (IP) by building Collective Intelligence Platforms (CIP) that enable customers to provide meaningful insights based on data collected from sensors or smart devices attached with physical objects such as buildings or vehicles for improved decision-making processes within organizations.
The government & public sector application segment is expected to witness significant growth over the forecast period owing to increasing usage of CIP solutions by governments at local levels for a variety of applications including infrastructure planning and management; disaster risk reduction; environmental monitoring; population mapping; urban planning.
Regional Analysis:
The collective intelligence platform market in North America is expected to grow at a significant rate over the forecast period. The growth can be attributed to the increasing adoption of IoT, AI, and other technologies across various sectors such as healthcare, retail & e-commerce, transportation & logistics among others. Moreover, growing investments by governments in developing new intelligent systems for public safety and smart cities are also contributing towards regional market growth. For instance; In 2017 U.S government announced USD X million investment for creating an autonomous vehicle test track called “NHTF†(National Highway Traffic Safety Administration) that will enable researchers and developers to test self-driving car algorithms under real world conditions without any human intervention.
Asia Pacific is estimated to be one of the fastest growing regions owing its large population base along with emerging economies such as China.
Growth Factors:
- Increasing demand for data-driven decision making: The collective intelligence platform market is expected to grow as organizations increasingly adopt big data and analytics solutions to make better, more informed decisions. By harnessing the power of collective intelligence, businesses can gain a competitive edge by gaining insights that are not possible with traditional analytics tools.
- Proliferation of social media and collaboration platforms: Social media and collaboration platforms have played a major role in the growth of the collective intelligence platform market. These platforms provide users with an easy way to share information and collaborate on projects, which helps to improve the quality of decisions made collectively.
- Growing interest in artificial intelligence (AI): The increasing interest in AI is helping to drive growth in the collective intelligence platform market as AI-powered solutions can help organizations analyze large amounts of data quickly and accurately identify patterns and trends that would otherwise be missed by humans alone.
- Rising demand for cloud-based solutions: Collective intelligence platform vendors are offering cloud-based solutions that allow users to access their applications from anywhere at any time without having to install any software or hardware on their devices. This growing trend is helping fuel adoption of these platforms among businesses worldwide.
Scope Of The Report
Report Attributes
Report Details
Report Title
Collective Intelligence Platform Market Research Report
By Type
Software, Services
By Application
Residential, Government & Public, Commercial
By Companies
Digimind, Vedalis, Innova, IBM Corporation, Capgemini, Silverhorse Technologies, Baynote
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
178
Number of Tables & Figures
125
Customization Available
Yes, the report can be customized as per your need.
Global Collective Intelligence Platform Market Report Segments:
The global Collective Intelligence Platform market is segmented on the basis of:
Types
Software, Services
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
Residential, Government & Public, Commercial
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:
- Digimind
- Vedalis
- Innova
- IBM Corporation
- Capgemini
- Silverhorse Technologies
- Baynote
Highlights of The Collective Intelligence Platform 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:
- Software
- Services
- By Application:
- Residential
- Government & Public
- Commercial
- 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 Collective Intelligence Platform 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
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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?
Collective intelligence platforms (CIPs) are web-based tools that allow users to share and collaborate on information. CIPs can be used to create a collective intelligence system, which is a network of people who can work together to solve problems.
Some of the major players in the collective intelligence platform market are Digimind, Vedalis, Innova, IBM Corporation, Capgemini, Silverhorse Technologies, Baynote.
The collective intelligence platform market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Collective Intelligence Platform 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 Collective Intelligence Platform Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Collective Intelligence Platform 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 Collective Intelligence Platform 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 Collective Intelligence Platform Market Size & Forecast, 2018-2028
4.5.1 Collective Intelligence Platform Market Size and Y-o-Y Growth
4.5.2 Collective Intelligence Platform Market Absolute $ Opportunity
Chapter 5 Global Collective Intelligence Platform 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 Collective Intelligence Platform Market Size Forecast by Type
5.2.1 Software
5.2.2 Services
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Collective Intelligence Platform 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 Collective Intelligence Platform Market Size Forecast by Applications
6.2.1 Residential
6.2.2 Government & Public
6.2.3 Commercial
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Collective Intelligence Platform 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 Collective Intelligence Platform 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 Collective Intelligence Platform Analysis and Forecast
9.1 Introduction
9.2 North America Collective Intelligence Platform 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 Collective Intelligence Platform Market Size Forecast by Type
9.6.1 Software
9.6.2 Services
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 Collective Intelligence Platform Market Size Forecast by Applications
9.10.1 Residential
9.10.2 Government & Public
9.10.3 Commercial
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 Collective Intelligence Platform Analysis and Forecast
10.1 Introduction
10.2 Europe Collective Intelligence Platform 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 Collective Intelligence Platform Market Size Forecast by Type
10.6.1 Software
10.6.2 Services
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 Collective Intelligence Platform Market Size Forecast by Applications
10.10.1 Residential
10.10.2 Government & Public
10.10.3 Commercial
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 Collective Intelligence Platform Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Collective Intelligence Platform 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 Collective Intelligence Platform Market Size Forecast by Type
11.6.1 Software
11.6.2 Services
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 Collective Intelligence Platform Market Size Forecast by Applications
11.10.1 Residential
11.10.2 Government & Public
11.10.3 Commercial
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 Collective Intelligence Platform Analysis and Forecast
12.1 Introduction
12.2 Latin America Collective Intelligence Platform 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 Collective Intelligence Platform Market Size Forecast by Type
12.6.1 Software
12.6.2 Services
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 Collective Intelligence Platform Market Size Forecast by Applications
12.10.1 Residential
12.10.2 Government & Public
12.10.3 Commercial
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) Collective Intelligence Platform Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Collective Intelligence Platform 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) Collective Intelligence Platform Market Size Forecast by Type
13.6.1 Software
13.6.2 Services
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) Collective Intelligence Platform Market Size Forecast by Applications
13.10.1 Residential
13.10.2 Government & Public
13.10.3 Commercial
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 Collective Intelligence Platform Market: Competitive Dashboard
14.2 Global Collective Intelligence Platform Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Digimind
14.3.2 Vedalis
14.3.3 Innova
14.3.4 IBM Corporation
14.3.5 Capgemini
14.3.6 Silverhorse Technologies
14.3.7 Baynote
