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Artificial Intelligence Platform Market - Global Growth, Trends and Forecast (2022 - 2027) By Types, By Application, By Regions and By Key Players: Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion, KITT.AI, IFlyTek, Megvii Technology

02 Mar, 2022 | 161 Pages
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Over the next five years, the Artificial Intelligence Platform market will register a 35% CAGR in terms of revenue, the global market size will reach USD 17.29 million by 2027.



Artificial Intelligence Platform Market Overview



Artificial Intelligence (AI) is the creation of ingenious and intelligent computers that behave, react, and respond in the same way as humans do. This is used to develop business abilities on a day-to-day basis. Developing software, choosing robots and drones, autonomous tractors, crop health testing, and automated water network architecture are just a few of the applications that have contributed to the worldwide agricultural artificial intelligence (AIA) market's rapid growing.The artificial intelligence platform market is rising due to rising demand for AI-based solutions and the proliferation of data generation. Also, the Innovation in Big Data technology, rising trend of adopting AI capabilities in the workstream and improvements in the cloud-storage services are also expected to drive the progress of the artificial intelligence platform market. In addition, the high demand for intelligent business processes and growing innovations across end-users will create ample opportunity for the growth of the artificial intelligence platform market.The AI is one of the foundations of the growing digitalization of the manufacturing sector. Technologies underlying this process such as IoT, 5G, cloud computing, big data analytics, smart sensors, 3D printing and robotics are expected to transform manufacturing segment into a single system.The changes in methodology of various sectors toward automation to increase the productivity of the organizations, and rise in demand for smart virtual assistant are the factors responsible for the growth of artificial intelligence platform market. In addition, rise in the demand for artificial intelligence and machine learning based solutions are responsible for market growth.



Industry News:



Oct. 5, 2020, IBM announced three new products to add to its growing suite of AI solutions for brands and publishers. The new capabilities are privacy-forward and designed to allow brands to reach consumers while considering user privacy. IBM intends to work with industry leaders, including Xandr/AT&T, Magnate, Nielsen, Media Math, Live Ramp, and Beeswax to help scale the use of AI across the industry. The announcement was made this morning at Advertising Week's digital-first virtual event



What are the major Applications, Types, and Regions for Artificial Intelligence Platform Market?



By Type, it is segmented into




  • On-Premise

  • Cloud-based



By Applications, it is segmented into




  • Voice Processing

  • Text Processing

  • Image Processing



Artificial Intelligence Platform Market Regional Analysis



North America dominates the artificial intelligence platform market due to the high emphasis on R&D technologies in that area. Asia-Pacific is expected to expand at a significant growth rate over the forecast period of 2022 to 2027 due to rapid technological advancement and rapid expansion of domestic enterprises.



All these factors greatly affect the Artificial Intelligence Platform market growth. It further aims at providing a complete overview on a detailed assessment of significant features of different industries including sales volume, market revenue, and demand size, sales growth, pricing analysis, and changing market growth factors in regions such as Follows,




  • North America


    • US

    • Canada



  • Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Rest of Europe



  • Asia-Pacific

    • China

    • Japan

    • India

    • Australia

    • South Korea

    • Rest of Asia-Pacific



  • Rest of the World

    • Middle East & Africa

    • Latin America





The Artificial Intelligence Platform Market describes the factors driving the global growth opportunities in upcoming years and highlights market channels. In addition, the report analyzes market size and share, trends, by geographic region, end-use type, and segment. It focuses extensively on revealing a detailed regional analysis. The Global Artificial Intelligence Platform Market report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.



What is our Artificial Intelligence Platform Market report scope?























































Report Attributes



Report Details



Forecast Period 2022 to 2027 CAGR



CAGR of 35.0% during the review period (2022 to 2027).



By Type




  • On-Premise

  • Cloud-based

  • Others



By Application




  • Voice Processing

  • Text Processing

  • Image Processing

  • Others



By Companies



Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft, Yseop, Ipsoft, NanoRep(LogMeIn), Ada Support, Astute Solutions, IDEAL.com, Wipro and others.



Regions Covered




  • North America

  • Europe

  • Asia-Pacific

  • Rest of the World



Countries Covered




  • US

  • Canada

  • Germany

  • France

  • UK

  • Italy

  • Spain

  • Rest of Europe

  • China

  • Japan

  • India

  • Australia

  • South Korea

  • Rest of Asia-Pacific

  • Middle East & Africa

  • Latin America



Base Year



2022



Historical Year



2017 to 2021



Forecast Year



2022 to 2027



Number of Pages



161



Customization Available



Yes, the report can be customized as per your needs






    



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



Key Takeaways from this Artificial Intelligence Platform Report




  • Evaluate Artificial Intelligence Platform market potential through analyzing growth rates (CAGR %), Volume (Units), and Value ($M) data given at country level - for product types, end-use applications, and by different industries verticals.

  • Understand the different dynamics influencing the market - growth driving factors, specific challenges, and hidden opportunities.

  • Get in-depth insights on your competitor's performance – revenue, shares, business strategies, financial benchmarking, product benchmarking, SWOT analysis, and more.

  • Analyze the sales and distribution channels across geographies to enhance top-line revenues.

  • Understand the demanding supply chain with a deep dive on the value augmentation at each, in order to optimize value and bring efficiencies in your processes.

  • Get a quick outlook on the Artificial Intelligence Platform market entropy - M&As, deals, partnerships, product launches of all key players for the past 4 years.

  • Evaluate the import-export statistics, supply-demand, and competitive landscape for more than the top 20 countries globally for the market.



FAQ -



What is the study period of this market?



The Artificial Intelligence Platform Market is studied from 2017 - 2027.



 What is the growth rate of Artificial Intelligence Platform Market?



The Artificial Intelligence Platform Market is growing at a CAGR of 35.0% over the next 5 years.



What regions does this Artificial Intelligence Platform Market report covers?



North America (the United States, Canada, and Mexico)



Europe (Germany, France, UK, Russia, and Italy)



Asia-Pacific (China, Japan, Korea, India, and Southeast Asia)



South America (Brazil, Argentina, Colombia, etc.)



The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)



All our reports are custom made to your company's needs to a certain extent, we do provide 5 free consulting hours along with the purchase of each report, and this will allow you to request any additional data to customize the report as your needs.


  1. INTRODUCTION

    1. MARKET DEFINITION

    2. MARKET DYNAMICS

    3. MARKET SEGMENTATION

    4. REPORT TIMELINES

    5. KEY STAKEHOLDERS



  2. RESEARCH METHODOLOGY

    1. DATA MINING

      1. SECONDARY RESEARCH

      2. PRIMARY RESEARCH

      3. SUBJECT MATTER EXPERT ADVICE



    2. QUALITY CHECK

    3. FINAL REVIEW

      1. DATA TRIANGULATION

      2. BOTTOM-UP APPROACH

      3. TOP-DOWN APPROACH



    4. RESEARCH FLOW



  3. EXECUTIVE SUMMARY

    1. INTRODUCTION

    2. GLOBAL ARTIFICIAL INTELLIGENCE PLATFORM BY APPLICATION

    3. GLOBAL ARTIFICIAL INTELLIGENCE PLATFORM BY TYPES



  4. MARKET DYNAMICS

    1. DRIVERS

      1. INCREASING DEMAND FOR ARTIFICIAL INTELLIGENCE PLATFORM MARKET



    2. RESTRAINTS

      1. STRINGENT ENVIRONMENTAL REGULATIONS

      2. HIGH COST OF RAW MATERIAL



    3. OPPORTUNITIES

      1. ARTIFICIAL INTELLIGENCE PLATFORM GROWTH

      2. APPLICATION OF ARTIFICIAL INTELLIGENCE PLATFORM MARKET



    4. IMPACT OF COVID 19



  5. GLOBAL ARTIFICIAL INTELLIGENCE PLATFORM MARKET, BY TYPES

    1. INTRODUCTION

    2.     ON-PREMISE

    3.     CLOUD-BASED



  6. GLOBAL ARTIFICIAL INTELLIGENCE PLATFORM MARKET, BY APPLICATION

    1. INTRODUCTION

    2.     VOICE PROCESSING

    3.     TEXT PROCESSING

    4.     IMAGE PROCESSING



  7. GLOBAL ARTIFICIAL INTELLIGENCE PLATFORM MARKET, BY REGION

    1. NORTH AMERICA

      1. US

      2. CANADA

      3. MEXICO



    2. EUROPE

      1. GERMANY

      2. FRANCE

      3. UK

      4. ITALY

      5. RUSSIA

      6. REST OF EUROPE



    3. APAC

      1. CHINA

      2. SOUTH KOREA

      3. JAPAN

      4. INDIA

      5. AUSTRALIA

      6. ASEAN

      7. REST OF APAC



    4. MIDDLE EAST & AFRICA

      1. SAUDI ARABIA

      2. UAE

      3. SOUTH AFRICA

      4. TURKEY

      5. REST OF MEA



    5. SOUTH AMERICA

      1. BRAZIL

      2. REST OF MEA

      3. ARGENTINA

      4. REST OF SOUTH AMERICA





  8. COMPETITIVE LANDSCAPE

    1. MERGERS, ACQUISITIONS, JOINT VENTURES, COLLABORATIONS,

    2. AND AGREEMENTS

      1. KEY DEVELOPMENT



    3. MARKET SHARE (%) **/RANKING ANALYSIS

    4. STRATEGIES ADOPTED BY LEADING PLAYERS



  9. COMPANY PROFILES

    1. BUSINESS OVERVIEW

    2. COMPANY SNAPSHOT

    3. PRODUCT BENCHMARKING

    4. STRATEGIC INITIATIVES

      1.     GOOGLE

      2.     BAIDU

      3.     IBM

      4.     MICROSOFT

      5.     SAP

      6.     INTEL

      7.     SALESFORCE

      8.     BRIGHTERION

      9.     KITT.AI

      10.     IFLYTEK

      11.     MEGVII TECHNOLOGY

      12.     ALBERT TECHNOLOGIES

      13.     H2O.AI

      14.     BRAINASOFT

      15.     YSEOP

      16.     IPSOFT

      17.     NANOREP(LOGMEIN)

      18.     ADA SUPPORT

      19.     ASTUTE SOLUTIONS

      20.     IDEAL.COM

      21.     WIPRO





SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

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