The global artificial intelligence in workspace is growing by leaps and bounds. The market growth attributes to the rising adoption of automation and digitization of workplaces. Besides, increasing demand for AI solutions in various industries such as BFSI, automotive, retail, telecommunication IT, and healthcare pharmaceuticals substantiate market growth. Moreover, the growing need for digital transformations of businesses and the generation of a large amount of Big Data escalate the market growth.
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According to Market Research Future (MRFR), the global artificial intelligence in workspace market is poised to grow at a massive CAGR of 41% throughout the forecast period (2020 to 2027). Notable technology providers offering AI technology for telecommunication and IT verticals are major factors influencing the growth of the market. The rapid adoption of cloud-based services and advanced algorithms deployment BFSI and retail manufacturing sectors drive the AI in workspace industry.
Additionally, the growing need for high computation power and productivity, alongside the vast volumes of data generated each day, foster the growth of the market. Besides, the increasing usages of machine learning, deep learning, and natural language processing accelerate market growth. AI uses adaptive learning and computer vision techniques to analyze the enterprise data and offer detailed insights about the market, making informed decisions for better management of the enterprise.
On the other hand, technology providers face huge underlying intellectual challenges in developing AI technology. Hence, complex algorithms and data privacy concerns are the major factors projected to impede the growth of the market. Nevertheless, increasing AI implementation at workspaces would support market growth throughout the assessment period. The growing competition across the industries and growing emphasis on business intelligence would propel market growth.
Artificial Intelligence (AI) in Workspace Market - Segments
The report is segmented into four dynamics:
By Components : Hardware, Software [(AI Platforms and AI Solutions (Premise and On Cloud)], and Services.
By Vertical : Automotive Transportation, Manufacturing, Healthcare Pharmaceutical, IT Telecommunication, BFSI, Retail, and Others.
By Technology : Natural Language Processing (NLP), Machine Learning, Image Recognition, Speech Recognition, and Context Aware Computing.
By Regions : Asia Pacific, Americas, Europe, and the Rest-of-the-World.
Global AI in Workspace Market - Regional Analysis
North America accounts for a key share in the global artificial intelligence in workspace market. The largest market share attributes to the increasing investment in research and development of AI technologies and digital transformation of business. Besides, the increase in demand for intelligent virtual assistants drives the growth of the regional market.
Moreover, the presence of major technology providers equipped with advanced technologies in the region substantiates the market growth. Also, the increasing implementation of cutting-edge technology in the advertisement sector boost growth in the regional market. The North American AI in workspace market is projected to retain its dominance throughout the forecast period.
Europe stands second in the global artificial intelligence in workspace market. The market growth attributes to the presence of various notable players and large deployments of these platforms in workspaces. Additionally, the rising numbers of medium and large enterprises act as a major tailwind for the growth of AI technologies in workspace market. High adoption of automation solutions used in workplaces pushes the development of the regional market. The European artificial intelligence (AI) in workspace market is predicted to create a substantial revenue pocket during the assessment period.
Asia Pacific artificial intelligence in the workspace market is growing rapidly. Factors such as the proliferation of digitization in businesses drive the growth of the regional market. The rising adoption of AI technology and cloud deployment by large and SMEs to enhance employee satisfaction and operational performance boost the growth of the regional market.
Augmenting demand from growing numbers of automation tools from retailers and businesses is a key driving force. Substantial investments transpired by key players in the development of AI technology platforms positively impact the growth of the regional market. India and China are major markets for AI technologies in the region. The APAC artificial intelligence in workspace market is expected to grow at a significant rate during the forecast period.
Artificial Intelligence in Workspace Market - Competitive Analysis
Highly competitive, the AI in workspace market appears fragmented due to the presence of several well-established players. Mergers acquisitions, innovation, and brand reinforcement remain prevailing key trends for the leading players as these strategies support their growth and expansion plans. They deliver reliable, leading-edge products and services. For which they invest substantially in RD to develop adept technologies and products.
Players leading the AI in workspace market Nvidia (US), Intel (US), Samsung Electronics (South Korea), Microsoft (US), SAS (US), IBM (US), Cisco (US), General Electric (US), Siemens (US), Google (US), Rockwell Automation (US), Oracle (US), Verint Systems Inc. (US), Micron Technology (US), Atomwise (US), Wave Computing (US), Aibrain (US), Face++ (China), Didi Chuxing (China), Mythic (US), Applied Brain Research (Canada), Pilot AI Labs (US), Ec2ce (Spain), Gumgum (US), Gamaya (Switzerland), Precision Hawk (US), Appier (China), and Baidu Inc. (China), among others.
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September 02, 2020 --- Progressive Infotech (India), a leading IT Managed Services provider, automated digital employee experience management platform ‘automatenext.ai’. The new digital employee experience platform elevates workplace productivity and makes service automation smarter and more agile.
Also, the automatenext.ai helps save time by eliminating the need for human intervention to conduct time-consuming and tedious routine tasks and offers a new way of integrating artificial intelligence (AI) to address task-automation requirements.
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