Global Crowdsourcing Market was valued to be US$ 9,519.53 Mn in 2018 and is Expected to Reach US$ 154,835.74 Mn by 2029, growing at a CAGR of 36.5% over the Forecast Period, Owing to Advancement in Crowdsourcing Methods, says Absolute Markets Insights. Crowdsourcing Market is expected to gain significant lift with the evolution in traditional crowdsourcing methods. Novel crowdsourcing platforms enable non-profits, education and academics, and healthcare organizations to reduce management burden by introducing innovative ideas and delivering unexpected solutions to drive business. Major organizations across the globe use crowdsourcing as a translation service in order to gain consumer insights. For instance, Facebook has been using crowdsourcing platform to translate its website into different languages during their initial stages. In addition, positive impacts of crowdsourcing has led retailers, healthcare and financial institutions to leverage the power of crowdsourcing, in order to escalate their businesses.
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Key market participants in the global crowdsourcing market have strong focus on enhancing their offerings along with forming strategic alliances with an aim to remain competitive in the crowdsourcing market. These players are rapidly launching their websites for their workers, in order to get feedbacks from customers. For instance, in 2019, Upwork introduced Upwork Plus that assists small businesses to connect securely with highly skilled freelancers and offer better visibility for job postings, dedicated dashboards for collaboration, access to exclusive community board devoted to Upwork plus customers and on demand support. In 2018, Amazon Mechanical Turk, Inc. launched its website for their employees that assists them in getting feedbacks from customers to continually add functionality to the new worker site. Constant activities carried out by major players in the global Crowdsourcing Market act as one of the key factors, which is expected to escalate the growth of market during the forecast period.
The detailed research study provides qualitative and quantitative analysis of crowdsourcing market. The market has been analyzed from demand as well as supply side. The demand side analysis covers market revenue across regions and further across all the major countries. The supply side analysis covers the major market players and their regional and global presence and strategies. The geographical analysis done emphasizes on each of the major countries across North America, Europe, Asia Pacific, Middle East & Africa and Latin America.
Key Findings of the Report:
- In terms of revenue, global Crowdsourcing Market is expected to reach US$ 154,835.74 Mn by 2029, owing to the rising count of crowdfunding projects and crowdsourcing methods used by entrepreneurs and organizations.
- On the basis of platform type, open services platform accounted for the largest market share in 2018, owing to its ability to let users work together to evaluate, share, and build different specific tasks.
- On the basis of end use, IT and telecommunication sector accounted for the largest market share in 2018 and is expected to remain at a dominant position over forecast period growing at a CAGR of 37.2%
- Some of the players operating in the Crowdsourcing Market are 99designs, Amazon Mechanical Turk, Inc., Cad Crowd, crowdSPRING, LLC, Fiverr International Ltd., Freelancer Technology Pty Limited, Microworkers.com, clickworker GmbH, Upwork, and zbj.com amongst others.
Global Crowdsourcing Market:
By Platform Type
- Open Services Platform
- Managed Services Platform
By End Use
- Non-Profit Organization
- Education and Academics
- Healthcare
- IT and Telecommunication
- Media and Entertainment
- Others
By Geography
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
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Inclusion of network intelligence allows mobile network operators (MNOs) to achieve efficient network management and cross spectrum protection.This report includes a comprehensive analysis of the adoption of AI in telecom, highlighting the major technology trends and opportunities available across the ecosystem.To Request A Sample Copy Of This Report @: https://www.radiantinsights.com/research/artificial-intelligence-insight-series-artificial-intelligence-in-telecom/request-sampleCompetitive AnalysisThis section includes a study of key telecom companies and other emerging entities in the AI in telecom space.
Some of the key entities included in the report are AT, Verizon, Nokia, Huawei, Ciena, Rakuten, and Orange.Further, the report includes approximately 40 startups that are concentrating on various technological aspects like SON, cloud-native, network analytics, AI hardware, and interference cancellation.
Some of the startups reported include Cellwize, Altiostar, CujoAI, Kumu Networks, GenXcomm, Cambricon, Pivotal Commware, Metawave, Senseon, Parallel Wireless, Galgus, and Affirmed Networks.M AnalysisAn assessment of the acquisition trends since 2014 provides insights about the technology drivers in the AI-driven telecom market.
The key technologies include cloud-native solutions, security, virtualized RAN, SON, and network analytics.Distribution of these deals over the years provides an overview of the roadmap that the acquirers are following and highlights the unique value proposition behind the mergers and acquisitions.The prominent participants in the space include telecom solution providers, MNOs, startups and investors.
Some of the major acquirers include Nokia, Ericsson, Cisco and Zephyrtel.Key Insights:Network intelligence-related solutions are becoming the new norm for deriving insights from massive network data.The growing need for hyper-automation in communication networks is setting the stage for SON technologies that will help drive autonomous networks of the future.Virtualization of networks is fueling the need for cloud-native solutions, ranging from the ones that provide security, to the one's constituting the network core.The telecom solution providers, including names like Ericsson, Nokia, and Cisco, led the charts with the highest number of AI-based acquisitions.Emerging companies took a lead role in solving the problem of RF spectrum interference.Key questions addressed in the report:How innovative AI solutions are making an impact in the telecom value chain?What are the challenges and issues addressed by the implementation of AI algorithms in the telecom industry?What are the emerging use cases and business models that are driving the adoption of AI?Who are the key enablers for AI technology in the industry?Who are the frontrunners, and what are their implementations strategies?What is the current industry adoption status of AI in telecom?Which are the disruptive entities that can be potential targets for driving AI in telecom?Since 2014, what are the acquisition trends for AI in telecom?What are opportunities for the telecom companies to build a strong roadmap for the future of autonomous networks?How can companies from other sectors tap into the AI in telecom market?To Browse Full Research Report @: https://www.radiantinsights.com/research/artificial-intelligence-insight-series-artificial-intelligence-in-telecomTable of Contents 1.
Overview of the Telecom Value Chain Participants1.2.
