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Artificial Intelligence in Workspace Market Size, Share & Trends Analysis Report By Component (Hardware, Software, AI Platforms, AI Solutions, On-Premises, Cloud, Services) By Technology (Machine Learning, Computer Vision, Context Awareness) By End-User (Automotive and Transportation, Manufacturing, Healthcare and Pharmaceutical, IT & Telecommunication, Others) By Geography (North America, Europe, Asia-Pacific, South America, RoW) Forecast till 2028

Categories: IT And Telecommunications

Formate :

Global Artificial Intelligence in Workspace Market Overview 

The Global Artificial Intelligence in Workspace Market size is estimated to reach $ 1.1 billion by 2026, increasing at a CAGR of 39.3% over 2021-2026. In recent years, Artificial Intelligence (AI) has been at the forefront of discussions about technology and the future of employment. What was onetime science fiction has now evolved into a reality and an essential component of how we operate. AI contains a broad range of applications in the workplace, some of which have demonstrated its ability to improve various operations in any modern business, such as workplace cybersecurity and productivity. To use AI technology to help us do things better, we need a comprehensive grasp of business processes and everything that makes us inefficient today.

 

Impact of COVID-19 on Artificial Intelligence in Workspace Market:

The status of the economy is a significant issue that directly impacts the artificial intelligence (AI) industry in the workspace. Without a consistent inflow of software and technology funding, AI research and development would halt. Only when the R&D factors in the system are in place can the technology be implemented. Although, in the case of AI technology in the workplace, COVID-19 has a crucial feature. Major corporations are changing their commercial operations from fully remote areas in this age of social distance.

 

Key Takeaways from Global Artificial Intelligence in Workspace Market Report:

  • Evaluate market potential through analyzing growth rates (CAGR %), Volume (Units), and Value ($M) data given at country level – for Components, Technology, and by different industry verticals. Understand the various market dynamics – key driving factors, challenges, and hidden opportunities.
  • Get in-depth insights into your competitor's performance – market shares, strategies, financial benchmarking, product benchmarking, SWOT, etc.
  • Analyze the sales and distribution channels across key geographies to improve top-line revenues.
  • Understand the industry supply chain with a deep dive on the value augmentation at each step to optimize value and bring efficiencies in your processes. 
  • Get a quick outlook on the market entropy – M&As, deals, partnerships, product launches of all key players for the past four years. 
  • Evaluate the supply-demand gaps, import-export statistics, and regulatory landscape for more than the top 20 countries globally for the market

Artificial Intelligence in Workspace Market

By End User, the market for IT & Telecommunication to grow at the highest CAGR during the forecast period.

By End User, Artificial Intelligence in Workspace Market is segmented into Automotive & Transportation, Manufacturing, Healthcare & Pharmaceuticals, IT & telecommunications, BFSI, retail, and Others. BFSI dominated the Artificial Intelligence in Workspace Market in 2020. Because of the growing requirement of digital transformation in this BFSI industry. However, IT & Telecommunications is the fastest-growing, with a CAGR of 39.9% over the forecast period 2021-2026. 

 

North America to account for the largest market share during the forecast period.

North America held the largest share of the Artificial Intelligence in Workspace Market in 2020, with a global market share of 38.9%. Development is due to the increasing usage of AI in the workplace, as most technology firms are founded in the U.S.

 

Asia Pacific is the fastest-growing Artificial Intelligence in the Workspace Market due to increasing startups adopting AI in their workplace for efficient work and timely deliverables.

 

Market Dynamics

Driver: Increasing Capabilities & Cost Effectiveness drives Artificial Intelligence in Workspace Market. 

The usage of AI in the workplace is particularly beneficial due to the software's enhanced capabilities and cost-effectiveness. If machine learning (ML) is used in AI, it can minimize human work and conduct automated functions on its own. In different sectors, these functions can effectively reduce the requirement for human personnel. Therefore, AI may help various businesses enhance their profit margins by integrating it into their operational processes. However, artificial intelligence (AI) in the workspace business depends on the end-user industries' application-based demands.

 

Challenge: Threat of new technology is restraining the Artificial Intelligence in Workspace Market growth.

The usefulness of new technology is only helpful in the user's capacity to utilize it. Unfortunately, a sizable portion of the end-user market is uninformed of and unqualified to employ AI-driven technology in the workplace. The previous manual method reigns supreme in a significant part of the worldwide workplace market. For example, in place of facial recognition and biometric scanning, the human security force continues to dominate the market.

 

Key Market Players

Pivotal Players in the Global Artificial Intelligence in Workspace Market consist of Intel, Nvidia, IBM, Samsung Electronics, Siemens AG, Cisco, General Electric, Google, Oracle, among Others.

 

Developments

In 2021, Google had unveiled its Product Discovery Solution for the retail industry. This software bundle can improve the eCommerce industry's working environment.

 

Report Coverage and Scope

The report "Global Artificial Intelligence in Workspace Market" by Research Informatic covers an in-depth detailed analysis for the following segment covered under the scope.

 

By Component

  • Hardware
  • Software
  • AI Platforms
  • AI Solutions
  • On-Premises
  • Cloud
  • Services

 

By Technology

  • Machine Learning
  • Computer Vision
  • Context Awareness
  • Speech Recognition
  • Natural Processing Language (NLP)

 

By End-User

  • Automotive And Transportation
  • Manufacturing
  • Healthcare And Pharmaceutical
  • IT & Telecommunication
  • BFSI
  • Retail
  • Others

 

By Geography

  • North America
  • Europe
  • APAC
  • RoW

Global Artificial Intelligence in Workspace Market Growth, Trend and Forecast 2022-2027
Chapter 1 Artificial Intelligence in Workspace Market Overview
1.1 Product Overview and Scope of Artificial Intelligence in Workspace
1.2 Artificial Intelligence in Workspace Market Segmentation by Offerings
1.2.1 Hardware
1.2.2 Processors
1.2.3 MPU
1.2.4 GPU
1.2.5 FGPA
1.2.6 ASIC
1.2.7 Memory
1.2.8 Network
1.2.9 Software
1.2.10 AI Platforms
1.2.11 AI Solutions
1.2.12 Services
1.2.13 Deployment & Integration
1.2.14 Support & Maintenance
1.3 Artificial Intelligence in Workspace Market Segmentation by Technology
1.3.1 Machine Learning
1.3.2 Supervised Learning
1.3.3 Unsupervised Learning
1.3.4 Reinforcement Learning
1.3.5 Computer Vision
1.3.6 Context Awareness
1.3.7 Natural Processing Language (NLP)
1.4 Artificial Intelligence in Workspace Market Segmentation by Applications
1.4.1 Fleet Management
1.4.2 Supply Chain Planning
1.4.3 Warehouse Management
1.4.4 Virtual Assistant
1.4.5 Risk Management
1.4.6 Freight Brokerage
1.4.7 Others
1.5 Artificial Intelligence in Workspace Market Segmentation by End-User
1.5.1 Automotive
1.5.3 Aerospace
1.5.4 Manufacturing
1.5.5 Retail
1.5.6 Healthcare
1.5.7 Consumer-Packaged Goods
1.5.8 Food & Beverages
1.5.9 Others
1.6 Artificial Intelligence in Workspace Market Segmentation by Regions
1.6.1 North America
1.6.2 China
1.6.3 Europe
1.6.4 Southeast Asia
1.6.5 Japan
1.6.6 India
1.6.7 Global Market Size (Value) of Artificial Intelligence in Workspace (2015-2028)


Chapter 2 Global Economic Impact on Artificial Intelligence in Workspace Industry
2.1 Global Macroeconomic Environment Analysis
2.1.1 Global Macroeconomic Analysis
2.1.2 Global Macroeconomic Environment Development Trend
2.2 Global Macroeconomic Environment Analysis by Regions


Chapter 3 Global Artificial Intelligence in Workspace Market Competition by Manufacturers
3.1 Global Artificial Intelligence in Workspace Production and Share by Manufacturers (2021 and 2022)
3.2 Global Artificial Intelligence in Workspace Revenue and Share by Manufacturers (2021 and 2022)
3.3 Global Artificial Intelligence in Workspace Average Price by Manufacturers (2021 and 2022)
3.4 Manufacturers Artificial Intelligence in Workspace Manufacturing Base Distribution, Production Area and Product Type
3.5 Artificial Intelligence in Workspace Market Competitive Situation and Trends
3.5.1 Artificial Intelligence in Workspace Market Concentration Rate
3.5.2 Artificial Intelligence in Workspace Market Share of Top 3 and Top 5 Manufacturers
3.5.3 Mergers & Acquisitions, Expansion


Chapter 4 Global Artificial Intelligence in Workspace Production, Revenue (Value) by Region (2015-2022)
4.1 Global Artificial Intelligence in Workspace Production by Region (2015-2022)
4.2 Global Artificial Intelligence in Workspace Production Market Share by Region (2015-2022)
4.3 Global Artificial Intelligence in Workspace Revenue (Value) and Market Share by Region (2015-2022)
4.4 Global Artificial Intelligence in Workspace Production, Revenue, Price and Gross Margin (2015-2022)
4.5 North America Artificial Intelligence in Workspace Production, Revenue, Price and Gross Margin (2015-2022)
4.6 Europe Artificial Intelligence in Workspace Production, Revenue, Price and Gross Margin (2015-2022)
4.7 China Artificial Intelligence in Workspace Production, Revenue, Price and Gross Margin (2015-2022)
4.8 Japan Artificial Intelligence in Workspace Production, Revenue, Price and Gross Margin (2015-2022)
4.9 Southeast Asia Artificial Intelligence in Workspace Production, Revenue, Price and Gross Margin (2015-2022)
4.10 India Artificial Intelligence in Workspace Production, Revenue, Price and Gross Margin (2015-2022)


Chapter 5 Global Artificial Intelligence in Workspace Supply (Production), Consumption, Export, Import by Regions (2015-2022)
5.1 Global Artificial Intelligence in Workspace Consumption by Regions (2015-2022)
5.2 North America Artificial Intelligence in Workspace Production, Consumption, Export, Import by Regions (2015-2022)
5.3 Europe Artificial Intelligence in Workspace Production, Consumption, Export, Import by Regions (2015-2022)
5.4 China Artificial Intelligence in Workspace Production, Consumption, Export, Import by Regions (2015-2022)
5.5 Japan Artificial Intelligence in Workspace Production, Consumption, Export, Import by Regions (2015-2022)
5.6 Southeast Asia Artificial Intelligence in Workspace Production, Consumption, Export, Import by Regions (2015-2022)
5.7 India Artificial Intelligence in Workspace Production, Consumption, Export, Import by Regions (2015-2022)


Chapter 6 Global Artificial Intelligence in Workspace Production, Revenue (Value), Price Trend by Type
6.1 Global Artificial Intelligence in Workspace Production and Market Share by Type (2015-2022)
6.2 Global Artificial Intelligence in Workspace Revenue and Market Share by Type (2015-2022)
6.3 Global Artificial Intelligence in Workspace Price by Type (2015-2022)
6.4 Global Artificial Intelligence in Workspace Production Growth by Type (2015-2022)


Chapter 7 Global Artificial Intelligence in Workspace Market Analysis by Application
7.1 Global Artificial Intelligence in Workspace Consumption and Market Share by Application (2015-2022)
7.2 Global Artificial Intelligence in Workspace Consumption Growth Rate by Application (2015-2022)
7.3 Market Drivers and Opportunities
7.3.1 Potential Applications
7.3.2 Emerging Markets/Countries


Chapter 8 Artificial Intelligence in Workspace Manufacturing Cost Analysis
8.1 Artificial Intelligence in Workspace Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Price Trend of Key Raw Materials
8.1.3 Key Suppliers of Raw Materials
8.1.4 Market Concentration Rate of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.2.1 Raw Materials
8.2.2 Labor Cost
8.2.3 Manufacturing Expenses
8.3 Manufacturing Process Analysis of Artificial Intelligence in Workspace


Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
9.1 Artificial Intelligence in Workspace Industrial Chain Analysis
9.2 Upstream Raw Materials Sourcing
9.3 Raw Materials Sources of Artificial Intelligence in Workspace Major Manufacturers in 2022
9.4 Downstream Buyers


Chapter 10 Marketing Strategy Analysis, Distributors/Traders
10.1 Marketing Channel
10.1.1 Direct Marketing
10.1.2 Indirect Marketing
10.1.3 Marketing Channel Development Trend
10.2 Market Positioning
10.2.1 Pricing Strategy
10.2.2 Brand Strategy
10.2.3 Target Client
10.3 Distributors/Traders List


Chapter 11 Market Effect Factors Analysis
11.1 Technology Progress/Risk
11.1.1 Substitutes Threat
11.1.2 Technology Progress in Related Industry
11.2 Consumer Needs/Customer Preference Change
11.3 Economic/Political Environmental Change


Chapter 12 Global Artificial Intelligence in Workspace Market Forecast (2022-2027)
12.1 Global Artificial Intelligence in Workspace Production, Revenue Forecast (2022-2027)
12.2 Global Artificial Intelligence in Workspace Production, Consumption Forecast by Regions (2022-2027)
12.3 Global Artificial Intelligence in Workspace Production Forecast by Type (2022-2027)
12.4 Global Artificial Intelligence in Workspace Consumption Forecast by Application (2022-2027)
12.5 Artificial Intelligence in Workspace Price Forecast (2022-2027)


Chapter 13 Appendix

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Personalize this Research

  • Market Size and Share from 2016 - 2027
  • Expected Market Growth Until 2027
  • COVID-19 Impact assessment on the market
  • Market Dynamics and Impact Analysis
  • Segment and region that will drive or lead the market growth and why
  • Industry activity comprising Mergers, Acquisitions, Expansion, etc.
  • Comprehensive Mapping of the Competitive Landscape
  • In-depth analysis of key sustainability strategies adopted by market players
  • Global and regional market trends – Current and Future
  • Value Chain Analysis
  • Porters Five Forces Analysis
  • Historical and Current Product Pricing
  • Country Cross-Segment Analysis
  • Company Profiling
  • Player Comparison Matrix

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