Global Crowd Analytics 麻豆原创 Research Report 2023

Publication ID:

PB503235352

Publication Date:

March 21, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Highlights
The global Crowd Analytics market was valued at US$ 572.1 million in 2022 and is anticipated to reach US$ 1241.2 million by 2029, witnessing a CAGR of 13.8% during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The crowd analytics market is segmented by standalone solution, service, application, deployment mode, organization size, vertical, and region. The services segment is expected to grow at the highest CAGR during the forecast period; as the deployment of crowd analytics solutions is increasing, so the services associated with it is also growing.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Crowd Analytics, 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 Crowd Analytics.
The Crowd Analytics market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Crowd Analytics 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 Crowd Analytics companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Nokia Corporation
AGT International
NEC Corporation
Walkbase
Spigit
Sightcorp BV.
Wavestore
Savannah Simulations AG
Crowdanalytix
Securion Systems
Crowd Dynamics
Segment by Type
Cloud
On-premises
Segment by Application
Customer Management
麻豆原创ing Campaign Measurement
麻豆原创 Forecasting
Pricing Analytics
Revenue Optimization
Incident Response and Alerting
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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 Crowd Analytics companies鈥� 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 key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Crowd Analytics 麻豆原创 Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud
1.2.3 On-premises
1.3 麻豆原创 by Application
1.3.1 Global Crowd Analytics 麻豆原创 Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Customer Management
1.3.3 麻豆原创ing Campaign Measurement
1.3.4 麻豆原创 Forecasting
1.3.5 Pricing Analytics
1.3.6 Revenue Optimization
1.3.7 Incident Response and Alerting
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Crowd Analytics 麻豆原创 Perspective (2018-2029)
2.2 Crowd Analytics Growth Trends by Region
2.2.1 Global Crowd Analytics 麻豆原创 Size by Region: 2018 VS 2022 VS 2029
2.2.2 Crowd Analytics Historic 麻豆原创 Size by Region (2018-2023)
2.2.3 Crowd Analytics Forecasted 麻豆原创 Size by Region (2024-2029)
2.3 Crowd Analytics 麻豆原创 Dynamics
2.3.1 Crowd Analytics Industry Trends
2.3.2 Crowd Analytics 麻豆原创 Drivers
2.3.3 Crowd Analytics 麻豆原创 Challenges
2.3.4 Crowd Analytics 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Crowd Analytics Players by Revenue
3.1.1 Global Top Crowd Analytics Players by Revenue (2018-2023)
3.1.2 Global Crowd Analytics Revenue 麻豆原创 Share by Players (2018-2023)
3.2 Global Crowd Analytics 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Crowd Analytics Revenue
3.4 Global Crowd Analytics 麻豆原创 Concentration Ratio
3.4.1 Global Crowd Analytics 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Crowd Analytics Revenue in 2022
3.5 Crowd Analytics Key Players Head office and Area Served
3.6 Key Players Crowd Analytics Product Solution and Service
3.7 Date of Enter into Crowd Analytics 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Crowd Analytics Breakdown Data by Type
4.1 Global Crowd Analytics Historic 麻豆原创 Size by Type (2018-2023)
4.2 Global Crowd Analytics Forecasted 麻豆原创 Size by Type (2024-2029)
5 Crowd Analytics Breakdown Data by Application
5.1 Global Crowd Analytics Historic 麻豆原创 Size by Application (2018-2023)
5.2 Global Crowd Analytics Forecasted 麻豆原创 Size by Application (2024-2029)
6 North America
6.1 North America Crowd Analytics 麻豆原创 Size (2018-2029)
6.2 North America Crowd Analytics 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Crowd Analytics 麻豆原创 Size by Country (2018-2023)
6.4 North America Crowd Analytics 麻豆原创 Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Crowd Analytics 麻豆原创 Size (2018-2029)
7.2 Europe Crowd Analytics 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Crowd Analytics 麻豆原创 Size by Country (2018-2023)
7.4 Europe Crowd Analytics 麻豆原创 Size by Country (2024-2029)
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 Crowd Analytics 麻豆原创 Size (2018-2029)
8.2 Asia-Pacific Crowd Analytics 麻豆原创 Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Crowd Analytics 麻豆原创 Size by Region (2018-2023)
8.4 Asia-Pacific Crowd Analytics 麻豆原创 Size by Region (2024-2029)
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 Crowd Analytics 麻豆原创 Size (2018-2029)
9.2 Latin America Crowd Analytics 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Crowd Analytics 麻豆原创 Size by Country (2018-2023)
9.4 Latin America Crowd Analytics 麻豆原创 Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Crowd Analytics 麻豆原创 Size (2018-2029)
10.2 Middle East & Africa Crowd Analytics 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Crowd Analytics 麻豆原创 Size by Country (2018-2023)
10.4 Middle East & Africa Crowd Analytics 麻豆原创 Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Nokia Corporation
11.1.1 Nokia Corporation Company Detail
11.1.2 Nokia Corporation Business Overview
11.1.3 Nokia Corporation Crowd Analytics Introduction
11.1.4 Nokia Corporation Revenue in Crowd Analytics Business (2018-2023)
11.1.5 Nokia Corporation Recent Development
11.2 AGT International
11.2.1 AGT International Company Detail
11.2.2 AGT International Business Overview
11.2.3 AGT International Crowd Analytics Introduction
11.2.4 AGT International Revenue in Crowd Analytics Business (2018-2023)
11.2.5 AGT International Recent Development
11.3 NEC Corporation
11.3.1 NEC Corporation Company Detail
11.3.2 NEC Corporation Business Overview
11.3.3 NEC Corporation Crowd Analytics Introduction
11.3.4 NEC Corporation Revenue in Crowd Analytics Business (2018-2023)
11.3.5 NEC Corporation Recent Development
11.4 Walkbase
11.4.1 Walkbase Company Detail
11.4.2 Walkbase Business Overview
11.4.3 Walkbase Crowd Analytics Introduction
11.4.4 Walkbase Revenue in Crowd Analytics Business (2018-2023)
11.4.5 Walkbase Recent Development
11.5 Spigit
11.5.1 Spigit Company Detail
11.5.2 Spigit Business Overview
11.5.3 Spigit Crowd Analytics Introduction
11.5.4 Spigit Revenue in Crowd Analytics Business (2018-2023)
11.5.5 Spigit Recent Development
11.6 Sightcorp BV.
11.6.1 Sightcorp BV. Company Detail
11.6.2 Sightcorp BV. Business Overview
11.6.3 Sightcorp BV. Crowd Analytics Introduction
11.6.4 Sightcorp BV. Revenue in Crowd Analytics Business (2018-2023)
11.6.5 Sightcorp BV. Recent Development
11.7 Wavestore
11.7.1 Wavestore Company Detail
11.7.2 Wavestore Business Overview
11.7.3 Wavestore Crowd Analytics Introduction
11.7.4 Wavestore Revenue in Crowd Analytics Business (2018-2023)
11.7.5 Wavestore Recent Development
11.8 Savannah Simulations AG
11.8.1 Savannah Simulations AG Company Detail
11.8.2 Savannah Simulations AG Business Overview
11.8.3 Savannah Simulations AG Crowd Analytics Introduction
11.8.4 Savannah Simulations AG Revenue in Crowd Analytics Business (2018-2023)
11.8.5 Savannah Simulations AG Recent Development
11.9 Crowdanalytix
11.9.1 Crowdanalytix Company Detail
11.9.2 Crowdanalytix Business Overview
11.9.3 Crowdanalytix Crowd Analytics Introduction
11.9.4 Crowdanalytix Revenue in Crowd Analytics Business (2018-2023)
11.9.5 Crowdanalytix Recent Development
11.10 Securion Systems
11.10.1 Securion Systems Company Detail
11.10.2 Securion Systems Business Overview
11.10.3 Securion Systems Crowd Analytics Introduction
11.10.4 Securion Systems Revenue in Crowd Analytics Business (2018-2023)
11.10.5 Securion Systems Recent Development
11.11 Crowd Dynamics
11.11.1 Crowd Dynamics Company Detail
11.11.2 Crowd Dynamics Business Overview
11.11.3 Crowd Dynamics Crowd Analytics Introduction
11.11.4 Crowd Dynamics Revenue in Crowd Analytics Business (2018-2023)
11.11.5 Crowd Dynamics 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

Companies Mentioned:

Nokia Corporation
AGT International
NEC Corporation
Walkbase
Spigit
Sightcorp BV.
Wavestore
Savannah Simulations AG
Crowdanalytix
Securion Systems
Crowd Dynamics

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