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Global Crowdsourcing Software Market Research Report 2024
Synopsis
Crowdsourcing Software refers to a digital platform that facilitates the process of obtaining input, ideas, solutions, or contributions from a diverse and distributed group of individuals, often referred to as the "crowd." This software enables organizations to engage with a large and varied audience to gather insights, solve problems, generate content, or innovate collaboratively. It provides tools for idea submission, collaboration, evaluation, and selection, allowing businesses to harness the collective wisdom of the crowd to address challenges, drive innovation, and make informed decisions.
The global Crowdsourcing Software market was valued at US$ 1163 million in 2023 and is anticipated to reach US$ 2149.1 million by 2030, witnessing a CAGR of 8.6% during the forecast period 2024-2030.
The industry trend in Crowdsourcing Software is characterized by increased customization and integration capabilities. Modern platforms are offering more flexible and tailored solutions to match specific organizational needs, making it easier to create diverse crowdsourcing campaigns. Integration with other tools, such as project management and innovation management software, is also a prominent trend, streamlining the workflow from idea generation to implementation. Moreover, there's a growing emphasis on transparency and communication within crowdsourcing campaigns, ensuring contributors are informed about outcomes and fostering a sense of engagement and participation. Additionally, the integration of AI and data analytics is enhancing the efficiency of idea evaluation and helping organizations extract valuable insights from the crowd's contributions.
This report aims to provide a comprehensive presentation of the global market for Crowdsourcing Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Crowdsourcing Software.
Report Scope
The Crowdsourcing Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Crowdsourcing Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Crowdsourcing Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Planview (Spigit)
Brightidea
IdeaScale
Sopheon
Planbox
IdeaConnection
SAP
Qmarkets
Exago
iEnabler
Rever
innosabi
HYPE Innovation
Itonics
Innovation Cloud
Wazoku
Idea Drop
Crowdicity
Skipsolabs
Viima
Segment by Type
Cloud Based
Web Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Crowdsourcing Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Crowdsourcing Software refers to a digital platform that facilitates the process of obtaining input, ideas, solutions, or contributions from a diverse and distributed group of individuals, often referred to as the "crowd." This software enables organizations to engage with a large and varied audience to gather insights, solve problems, generate content, or innovate collaboratively. It provides tools for idea submission, collaboration, evaluation, and selection, allowing businesses to harness the collective wisdom of the crowd to address challenges, drive innovation, and make informed decisions.
The global Crowdsourcing Software market was valued at US$ 1163 million in 2023 and is anticipated to reach US$ 2149.1 million by 2030, witnessing a CAGR of 8.6% during the forecast period 2024-2030.
The industry trend in Crowdsourcing Software is characterized by increased customization and integration capabilities. Modern platforms are offering more flexible and tailored solutions to match specific organizational needs, making it easier to create diverse crowdsourcing campaigns. Integration with other tools, such as project management and innovation management software, is also a prominent trend, streamlining the workflow from idea generation to implementation. Moreover, there's a growing emphasis on transparency and communication within crowdsourcing campaigns, ensuring contributors are informed about outcomes and fostering a sense of engagement and participation. Additionally, the integration of AI and data analytics is enhancing the efficiency of idea evaluation and helping organizations extract valuable insights from the crowd's contributions.
This report aims to provide a comprehensive presentation of the global market for Crowdsourcing Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Crowdsourcing Software.
Report Scope
The Crowdsourcing Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Crowdsourcing Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Crowdsourcing Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Planview (Spigit)
Brightidea
IdeaScale
Sopheon
Planbox
IdeaConnection
SAP
Qmarkets
Exago
iEnabler
Rever
innosabi
HYPE Innovation
Itonics
Innovation Cloud
Wazoku
Idea Drop
Crowdicity
Skipsolabs
Viima
Segment by Type
Cloud Based
Web Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Crowdsourcing Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Crowdsourcing Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 Web Based
1.3 Market by Application
1.3.1 Global Crowdsourcing Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Crowdsourcing Software Market Perspective (2019-2030)
2.2 Crowdsourcing Software Growth Trends by Region
2.2.1 Global Crowdsourcing Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Crowdsourcing Software Historic Market Size by Region (2019-2024)
2.2.3 Crowdsourcing Software Forecasted Market Size by Region (2025-2030)
2.3 Crowdsourcing Software Market Dynamics
2.3.1 Crowdsourcing Software Industry Trends
2.3.2 Crowdsourcing Software Market Drivers
2.3.3 Crowdsourcing Software Market Challenges
2.3.4 Crowdsourcing Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Crowdsourcing Software Players by Revenue
3.1.1 Global Top Crowdsourcing Software Players by Revenue (2019-2024)
3.1.2 Global Crowdsourcing Software Revenue Market Share by Players (2019-2024)
3.2 Global Crowdsourcing Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Crowdsourcing Software Revenue
3.4 Global Crowdsourcing Software Market Concentration Ratio
3.4.1 Global Crowdsourcing Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Crowdsourcing Software Revenue in 2023
3.5 Crowdsourcing Software Key Players Head office and Area Served
3.6 Key Players Crowdsourcing Software Product Solution and Service
3.7 Date of Enter into Crowdsourcing Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Crowdsourcing Software Breakdown Data by Type
4.1 Global Crowdsourcing Software Historic Market Size by Type (2019-2024)
4.2 Global Crowdsourcing Software Forecasted Market Size by Type (2025-2030)
5 Crowdsourcing Software Breakdown Data by Application
5.1 Global Crowdsourcing Software Historic Market Size by Application (2019-2024)
5.2 Global Crowdsourcing Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Crowdsourcing Software Market Size (2019-2030)
6.2 North America Crowdsourcing Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Crowdsourcing Software Market Size by Country (2019-2024)
6.4 North America Crowdsourcing Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Crowdsourcing Software Market Size (2019-2030)
7.2 Europe Crowdsourcing Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Crowdsourcing Software Market Size by Country (2019-2024)
7.4 Europe Crowdsourcing Software Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Crowdsourcing Software Market Size (2019-2030)
8.2 Asia-Pacific Crowdsourcing Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Crowdsourcing Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Crowdsourcing Software Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Crowdsourcing Software Market Size (2019-2030)
9.2 Latin America Crowdsourcing Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Crowdsourcing Software Market Size by Country (2019-2024)
9.4 Latin America Crowdsourcing Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Crowdsourcing Software Market Size (2019-2030)
10.2 Middle East & Africa Crowdsourcing Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Crowdsourcing Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Crowdsourcing Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Planview (Spigit)
11.1.1 Planview (Spigit) Company Detail
11.1.2 Planview (Spigit) Business Overview
11.1.3 Planview (Spigit) Crowdsourcing Software Introduction
11.1.4 Planview (Spigit) Revenue in Crowdsourcing Software Business (2019-2024)
11.1.5 Planview (Spigit) Recent Development
11.2 Brightidea
11.2.1 Brightidea Company Detail
11.2.2 Brightidea Business Overview
11.2.3 Brightidea Crowdsourcing Software Introduction
11.2.4 Brightidea Revenue in Crowdsourcing Software Business (2019-2024)
11.2.5 Brightidea Recent Development
11.3 IdeaScale
11.3.1 IdeaScale Company Detail
11.3.2 IdeaScale Business Overview
11.3.3 IdeaScale Crowdsourcing Software Introduction
11.3.4 IdeaScale Revenue in Crowdsourcing Software Business (2019-2024)
11.3.5 IdeaScale Recent Development
11.4 Sopheon
11.4.1 Sopheon Company Detail
11.4.2 Sopheon Business Overview
11.4.3 Sopheon Crowdsourcing Software Introduction
11.4.4 Sopheon Revenue in Crowdsourcing Software Business (2019-2024)
11.4.5 Sopheon Recent Development
11.5 Planbox
11.5.1 Planbox Company Detail
11.5.2 Planbox Business Overview
11.5.3 Planbox Crowdsourcing Software Introduction
11.5.4 Planbox Revenue in Crowdsourcing Software Business (2019-2024)
11.5.5 Planbox Recent Development
11.6 IdeaConnection
11.6.1 IdeaConnection Company Detail
11.6.2 IdeaConnection Business Overview
11.6.3 IdeaConnection Crowdsourcing Software Introduction
11.6.4 IdeaConnection Revenue in Crowdsourcing Software Business (2019-2024)
11.6.5 IdeaConnection Recent Development
11.7 SAP
11.7.1 SAP Company Detail
11.7.2 SAP Business Overview
11.7.3 SAP Crowdsourcing Software Introduction
11.7.4 SAP Revenue in Crowdsourcing Software Business (2019-2024)
11.7.5 SAP Recent Development
11.8 Qmarkets
11.8.1 Qmarkets Company Detail
11.8.2 Qmarkets Business Overview
11.8.3 Qmarkets Crowdsourcing Software Introduction
11.8.4 Qmarkets Revenue in Crowdsourcing Software Business (2019-2024)
11.8.5 Qmarkets Recent Development
11.9 Exago
11.9.1 Exago Company Detail
11.9.2 Exago Business Overview
11.9.3 Exago Crowdsourcing Software Introduction
11.9.4 Exago Revenue in Crowdsourcing Software Business (2019-2024)
11.9.5 Exago Recent Development
11.10 iEnabler
11.10.1 iEnabler Company Detail
11.10.2 iEnabler Business Overview
11.10.3 iEnabler Crowdsourcing Software Introduction
11.10.4 iEnabler Revenue in Crowdsourcing Software Business (2019-2024)
11.10.5 iEnabler Recent Development
11.11 Rever
11.11.1 Rever Company Detail
11.11.2 Rever Business Overview
11.11.3 Rever Crowdsourcing Software Introduction
11.11.4 Rever Revenue in Crowdsourcing Software Business (2019-2024)
11.11.5 Rever Recent Development
11.12 innosabi
11.12.1 innosabi Company Detail
11.12.2 innosabi Business Overview
11.12.3 innosabi Crowdsourcing Software Introduction
11.12.4 innosabi Revenue in Crowdsourcing Software Business (2019-2024)
11.12.5 innosabi Recent Development
11.13 HYPE Innovation
11.13.1 HYPE Innovation Company Detail
11.13.2 HYPE Innovation Business Overview
11.13.3 HYPE Innovation Crowdsourcing Software Introduction
11.13.4 HYPE Innovation Revenue in Crowdsourcing Software Business (2019-2024)
11.13.5 HYPE Innovation Recent Development
11.14 Itonics
11.14.1 Itonics Company Detail
11.14.2 Itonics Business Overview
11.14.3 Itonics Crowdsourcing Software Introduction
11.14.4 Itonics Revenue in Crowdsourcing Software Business (2019-2024)
11.14.5 Itonics Recent Development
11.15 Innovation Cloud
11.15.1 Innovation Cloud Company Detail
11.15.2 Innovation Cloud Business Overview
11.15.3 Innovation Cloud Crowdsourcing Software Introduction
11.15.4 Innovation Cloud Revenue in Crowdsourcing Software Business (2019-2024)
11.15.5 Innovation Cloud Recent Development
11.16 Wazoku
11.16.1 Wazoku Company Detail
11.16.2 Wazoku Business Overview
11.16.3 Wazoku Crowdsourcing Software Introduction
11.16.4 Wazoku Revenue in Crowdsourcing Software Business (2019-2024)
11.16.5 Wazoku Recent Development
11.17 Idea Drop
11.17.1 Idea Drop Company Detail
11.17.2 Idea Drop Business Overview
11.17.3 Idea Drop Crowdsourcing Software Introduction
11.17.4 Idea Drop Revenue in Crowdsourcing Software Business (2019-2024)
11.17.5 Idea Drop Recent Development
11.18 Crowdicity
11.18.1 Crowdicity Company Detail
11.18.2 Crowdicity Business Overview
11.18.3 Crowdicity Crowdsourcing Software Introduction
11.18.4 Crowdicity Revenue in Crowdsourcing Software Business (2019-2024)
11.18.5 Crowdicity Recent Development
11.19 Skipsolabs
11.19.1 Skipsolabs Company Detail
11.19.2 Skipsolabs Business Overview
11.19.3 Skipsolabs Crowdsourcing Software Introduction
11.19.4 Skipsolabs Revenue in Crowdsourcing Software Business (2019-2024)
11.19.5 Skipsolabs Recent Development
11.20 Viima
11.20.1 Viima Company Detail
11.20.2 Viima Business Overview
11.20.3 Viima Crowdsourcing Software Introduction
11.20.4 Viima Revenue in Crowdsourcing Software Business (2019-2024)
11.20.5 Viima Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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