Computational Creativity Market

Computational Creativity Market by Component (Solutions and Services), Technology, Application (Marketing & Web Designing, Product Designing, Music Composition, Photography & Videography, Automated Story Generation), and Region - Global Forecast to 2023

Report Code: TC 6769 Nov, 2018, by marketsandmarkets.com

[158 Pages Report] The global computational creativity market size to grow from USD 204 million in 2018 to USD 685 million by 2023, at a Compound Annual Growth Rate (CAGR) of 27.4% during 2018–2023. The study consists of 4 major activities to estimate the current market size of the market. An exhaustive secondary research was done to collect information on the market, the peer market, and the parent market. The next step was to validate these findings, assumptions, and sizing with the industry experts across the value chain through primary research. Both the top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the market.

Computational Creativity Market

Secondary research

In the secondary research process, various secondary sources, such as D&B Hoovers and Bloomberg BusinessWeek have been referred to for identifying and collecting information for this study. Secondary sources included annual reports; press releases and investor presentations of companies; whit papers, certified publications, and articles by recognized authors; gold standard and silver standard websites; real-time payments technology Research and Development (R&D) organizations; regulatory bodies; and databases.

Primary research

Various primary sources from both supply and demand sides of the computational creativity market were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various vendors who provide the computational creativity software and associated service providers and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

The following is the breakup of the primary respondents’ profiles:

Computational Creativity Market

To know about the assumptions considered for the study, download the pdf brochure

Market size estimation

For making market estimates and forecasting the computational creativity market and the other dependent submarkets, the top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the market have been identified through extensive secondary research.
  • The market size, in terms of value, has been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data triangulation

With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using this study. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report Objectives

  • To define, describe, and forecast the size of the computational creativity market by technology (Natural Language Processing [NLP], Machine Learning and Deep Learning [ML and DL], and Computer Vision), component (solutions and services), application (marketing and web designing, product designing, music composition, photography and videography, high-end video gaming development, automated story generation, and others), and region (North America, Asia Pacific [APAC], Europe, Latin America, and Middle East and Africa [MEA])
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
  • To strategically analyze the micromarkets with respect to individual growth trends, prospects, and contributions to the overall market
  • To study the complete value chain of market
  • To analyze opportunities in the market for stakeholders by identifying the high-growth segments of the computational creativity ecosystem
  • To strategically profile key players and comprehensively analyze their market position in terms of ranking and core competencies, along with detailing competitive landscape for market leaders
  • To analyze strategic approaches, such as product launches, acquisitions, contracts, agreements, and partnerships, in the computational creativity market

Scope of the Report

Report Metrics

Details

Market size available for years

2016–2023

Base year considered

2017

Forecast period

2018–2023

Forecast units

Million (USD)

Segments covered

technology, component, application, and region

Geographies covered

North America, Europe, APAC, MEA, and Latin America

Companies covered

IBM (US), Google (US), Microsoft (US), Adobe (US), AWS (US), Autodesk (US), Jukedeck (UK), Humtap (US), Amper Music (US), Automated Creative (UK), ScriptBook (Belgium), B12 (US), The Grid (US), Canva (Australia), Hello Games (UK), Aiva (Luxembourg), Object AI (Hong Kong), Firedrop (UK), OBVIOUS (France), Prisma Labs (US), Cyanapse (UK), Lumen5 (Canada), Skylum (UK), Logojoy (Canada), and Runway (US)

This research report categorizes the computational creativity market based on nature of payment, component, deployment mode, enterprise size, vertical, and region.

Based on the technology, the computational creativity market has been segmented as follows:

  • Natural Language Processing (NLP)
  • Machine Learning and Deep Learning (ML and DL)
  • Computer Vision

Based on components, the computational creativity market has been segmented as follows:

  • Solutions
    • Software Tools
    • Platform
  • Services
    • Professional Services
    • Managed Services

Based on application, the computational creativity market has been segmented as follows:

  • Marketing and Web Designing
  • Product Designing
  • Music Composition
  • Photography and Videography
  • High-End Video Gaming Development
  • Automated Story Generation
  • Others (Training Simulation and R&D)

Based on regions, the computational creativity market has been segmented as follows:

  • North America
  • Europe
  • APAC
  • MEA
  • Latin America

Available Customization

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix gives a detailed comparison of the product portfolio of each company

Geographic analysis

  • Further breakup of the North American computational creativity market
  • Further breakup of the European market
  • Further breakup of the APAC market
  • Further breakup of the MEA market
  • Further breakup of the Latin American market

Company information

  • Detailed analysis and profiling of additional market players up to 5

MarketsandMarkets forecasts the global computational creativity market size to grow from USD 204 million in 2018 to USD 685 million by 2023, at a Compound Annual Growth Rate (CAGR) of 27.4% during 2018–2023. Major growth drivers for the market include automation of creative tasks and adoption of computational creativity solutions which would improve the creative process.

In the computational creativity market by application, product designing application to grow at the highest CAGR during the forecast period

Computational creativity in product designing is playing a crucial role by acting as a creative tool to engineers and product designers. With the help of AI-powered creative solutions, it is possible to generate a wide range of design options for products in less time, which would otherwise take a lot of time for human designers. The generative product design approach is useful to various industries, such as automation, aerospace, architecture, industrial machinery, consumer goods as well as building products to develop innovative designs.

In the computational creativity market by technology, the machine learning and deep learning segment to hold the largest market size during the forecast period

An increasing demand for the improvement of creative process and efficiency of creative professionals is expected to drive the machine learning (ML) and deep learning technologies. The AI-based computational creativity uses ML algorithms to help creative professional with different types of creativity, such as music composition, culinary arts, photography, videography, fashion designing, and website designing. Most of the companies are focusing on integrating AI technology into their products and enhancing their AI, ML, and deep learning capabilities, which are integrated into its cloud services that include creative intelligence, experience intelligence, and content intelligence.

In the computational creativity market by component, the services segment to grow at a higher CAGR during the forecast period

The services segment is further subsegmented into professional and managed services. Services play a vital role in the functioning of computational creativity solutions. They are an integral step in deploying technology solutions and are taken care by the solution and service providers. As the market grows, the demand for services is also expected to increase, particularly for consulting and integration, and support and maintenance services.

Computational Creativity Market

North America to hold the largest market size during the forecast period

North America is expected to hold the largest market size in the global computational creativity market, while APAC to grow at the highest CAGR during the forecast period. In APAC, the highest growth rate can be attributed to the heavy investments made by private and public sectors for enhancing their marketing technologies, resulting in an increased demand for computational creativity solutions to deliver a creative content to their customers. North America is expected to be the leading region in terms of adoption and development of the computational creativity technology. Growing investments in computational creativity technologies, presence of maximum number of computational creativity solution providers, and increasing government spending on AI technologies are expected to contribute to the growth of the market during the forecast period.

Major vendors in the global computational creativity market include IBM (US), Google (US), Microsoft (US), Adobe (US), Amazon Web Services (US), Autodesk (US), Jukedeck (UK), HUMTAP (US), Amper Music (US), ScriptBook (Belgium), B12 (US), The Grid (US), Canva (Australia), Hello Games (UK), IntegraPay (Australia), B12 (US), The Grid (India), Lumen5 (Canada), Skylum (US), Logojoy (Canada), Runway (US), Avia (Luxembourg), Prisma Labs (US), Object AI (Hong Kong), Firedrop (UK), Obvious (France), Automated Creative (UK), and Cyanapse (UK). They have adopted various organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to further expand their presence in the global market.

MnM view of IBM

IBM is a significant player that delivers solutions to the computational creativity market. The company’s solutions use Watson’s capability for various applications. IBM focuses on scaling its platforms, delivering productivity through automation, infusing AI into its offerings, and investing to expand its cloud infrastructure. The company uses organic and inorganic growth strategies to improve its market share and annual revenue growth. As a part of its organic growth strategies, in May 2017, IBM introduced PowerAI, a deep learning software designed to address the challenges faced by data scientists and developers. It simplifies the development experience with tools and data preparation while reducing the time required for AI system training from weeks to hours.

MnM view of Google

Google is one of the key technology players in the computational creativity market. The company heavily relies on its organic growth strategy of developing innovative next-gen products. The company is making significant R&D investments in areas of strategic focus, such as advertising, cloud, machine learning, and search, as well as in new products and services. The company is adopting the organic growth strategy to gain a competitive edge in the market. In November 2018, Google Cloud, along with 20th Century Fox, developed an ML software that can analyze movie trailers and predict how likely people are to see those movies in theaters. The co-partners have designed a program named Merlin, which can recognize objects and patterns in a trailer to understand movie scenes.

MnM view of Adobe

Adobe, a digital marketing and media solutions provider, is following various inorganic and organic strategies to further strengthen its position in the computational creativity area. The company offers tools and solutions to help large enterprises and SMEs to create, publish, as well as promote their digital content. Various companies are using Adobe suite products, such as Photoshop or Illustrator, to work on different projects. Nowadays, the use of AI technology is growing in the creativity field and Adobe is also focusing on integrating AI technology (Adobe Sensei) into all its products. For that, the company is taking several steps to enhance its AI, ML, and deep learning capabilities, which are integrated into its cloud services that include creative intelligence, experience intelligence, and content intelligence.

Recent Developments:

  • In November 2018, Google Cloud, along with 20th Century Fox, developed Merlin, an ML software that can analyse movie trailers and predict how likely people are to see those movies in theatres. Merlin can recognize objects and patterns in a trailer to understand movie scenes.
  • In November 2018, IBM partnered with Kronos Incorporated, a US-based multi-national workforce management software and services company, to help improve the engagement, performance, career development, and retention of hourly workers and simplify the complex task of managing this important segment of the global workforce.
  • In August 2018, Adobe (US) collaborated with Nimble Collective, a provider of cloud-based animation platform. With the collaboration, Nimble Collective aims to integrate Adobe Creative Cloud into its Virtual Studio Platform. The integration would help the Virtual Studio Platform users achieve efficient work environment for all the steps of animation production.

Critical questions the report answers:

  • What are the current trends in the computational creativity market driving the demand for technological advancements?
  • What are the upcoming technologies driving the market?
  • Where will all these developments take the industry in the mid to long term?
  • Which are the vendors in the market and competitive analysis?
  • What are the drivers and challenges of market?

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 19)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Regions Covered
    1.4 Years Considered for the Study
    1.5 Currency
    1.6 Stakeholders

2 Research Methodology (Page No. - 23)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakup of Primaries
                    2.1.2.2 Key Industry Insights
                    2.1.2.3 Market Breakup and Data Triangulation
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
           2.2.2 Top-Down Approach
    2.3 Assumptions for the Study
    2.4 Limitations of the Study

3 Executive Summary (Page No. - 30)

4 Premium Insights (Page No. - 36)
    4.1 Attractive Opportunities in the Computational Creativity Market
    4.2 Market Top 3 Applications
    4.3 Market Top 3 Applications and Regions
    4.4 Market By Region

5 Market Overview and Industry Trends (Page No. - 38)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Automation of Creative Tasks is Driving the Adoption of Computational Creativity Solutions
                    5.2.1.2 Adoption of Computational Creativity Solutions Would Improve the Creative Process
           5.2.2 Restraints
                    5.2.2.1 Slow Digitalization Rate is Affecting the Adoption of AI Technology in the Emerging Economies
                    5.2.2.2 Increasing Market Competition
           5.2.3 Opportunities
                    5.2.3.1 Increasing Adoption of Computational Creativity Solutions in Modern Applications
                    5.2.3.2 Increasing Investments and Funding in Computational Creativity Startups
           5.2.4 Challenges
                    5.2.4.1 Implication of Copyright Law is Posing A Challenge
    5.3 Use Cases
           5.3.1 Introduction
                    5.3.1.1 Use Case: Scenario 1
                    5.3.1.2 Use Case: Scenario 2
                    5.3.1.3 Use Case: Scenario 3
                    5.3.1.4 Use Case: Scenario 4
                    5.3.1.5 Use Case: Scenario 5
    5.4 Regulatory Implications and Associations
           5.4.1 Introduction
           5.4.2 General Data Protection Regulation
           5.4.3 International Organization for Standardization
           5.4.4 Association for Computer Aided Design in Architecture
           5.4.5 International News Media Association
           5.4.6 World Intellectual Property Organization
    5.5 Process of Computational Creativity

6 Computational Creativity Market, By Technology (Page No. - 46)
    6.1 Introduction
    6.2 Natural Language Processing
           6.2.1 The Adoption of Nlp to Increase for Translation Purposes
    6.3 Machine Learning and Deep Learning
           6.3.1 Companies to Adopt AI Technology to Enhance Their Applications
    6.4 Computer Vision
           6.4.1 Need to Improve Creative Process

7 Computational Creativity Market, By Component (Page No. - 52)
    7.1 Introduction
    7.2 Solutions
           7.2.1 Software Tools
                    7.2.1.1 Ease Offered By Software Tools to Integrate Computational Creativity Into the Existing Infrastructures
           7.2.2 Platforms
                    7.2.2.1 Platforms to Provide A Complete Foundation to Create Various Computational Creativity Applications
    7.3 Services
           7.3.1 Professional Services
                    7.3.1.1 The Technicalities to Increase in Implementing Computational Creativity Solutions
           7.3.2 Managed Services
                    7.3.2.1 The Need to Focus Both on Core Business Operations and Streamlining Business Processes

8 Computational Creativity Market, By Application (Page No. - 60)
    8.1 Introduction
    8.2 Marketing and Web Designing
           8.2.1 Quick Development of Creative Websites and Cost-Effectiveness Benefits to Increase the Use of Marketing and Web Designing Application
    8.3 Product Designing
           8.3.1 Software Designed Using the Computational Creativity Approach to Produce A Wide Range of Complex Design Alternatives in Minimal Time
    8.4 Music Composition
           8.4.1 Music Composition Platforms to Offer an Effective Way to Build Personalized Music Content
    8.5 Photography and Videography
           8.5.1 Various Processes to Be Automated for Photo and Video Editing
    8.6 High-End Video Gaming Development
           8.6.1 The Need to Enhance Game Designs, Development Processes, and Functionalities in 2d and 3d Games
    8.7 Automated Story Generation
           8.7.1 Growing Need to Convert Data Into Meaningful Insights
    8.8 Others

9 Computational Creativity Market, By Region (Page No. - 71)
    9.1 Introduction
    9.2 North America
           9.2.1 United States
                    9.2.1.1 Number of Opportunities to Be Created to Build Various Creative Applications
           9.2.2 Canada
                    9.2.2.1 Canada to Witness an Increase in Investments and Research Activities
    9.3 Europe
           9.3.1 United Kingdom
                    9.3.1.1 Growing Investments to Offer More Opportunities to Deploy Computational Creativity Solutions
           9.3.2 Germany
                    9.3.2.1 Number of Applications to Increase for Automating Creatives, Starting From Story Generation to Visual and Artistic Designs
           9.3.3 France
                    9.3.3.1 Computational Creativity to Gain Popularity in France
           9.3.4 Rest of Europe
    9.4 Asia Pacific
           9.4.1 China
                    9.4.1.1 Number of Advertising Strategies to Increase and Offer Opportunities to Deploy Creativity Solutions
           9.4.2 Japan
                    9.4.2.1 Adoption of Advanced Digital Technologies to Increase
           9.4.3 India
                    9.4.3.1 Adoption of Creative Tools to Increase and Enhance the Innovative Art and Designing Process
           9.4.4 Rest of Asia Pacific
    9.5 Middle East and Africa
           9.5.1 United Arab Emirates
                    9.5.1.1 More Awareness to Be Created on Utilizing Computational Creativity Techniques
           9.5.2 South Africa
                    9.5.2.1 Number of Digital Initiatives and Use of Advanced Digital Technologies to Increase
           9.5.3 Rest of Middle East and Africa
    9.6 Latin America
           9.6.1 Brazil
                    9.6.1.1 Rising Focus to Produce Creative Content in the Coming Years
           9.6.2 Mexico
                    9.6.2.1 The Country to Witness Growing Steps Toward the Revolution of Various Technologies
           9.6.3 Rest of Latin America

10 Competitive Landscape (Page No. - 101)
     10.1 Overview
     10.2 Ranking of Key Players, 2018
     10.3 Competitive Scenario
             10.3.1 New Product/Service Launches and Product/Service Enhancements
             10.3.2 Agreements and Partnerships
             10.3.3 Acquisitions
             10.3.4 Expansions

11 Company Profiles (Page No. - 107)
     11.1 IBM
             11.1.1 Business Overview
             11.1.2 Products Offered and Projects Undertaken
             11.1.3 Recent Developments
             11.1.4 SWOT Analysis
             11.1.5 MnM View
     11.2 Google
             11.2.1 Business Overview
             11.2.2 Solutions Offered and Projects Undertaken
             11.2.3 Recent Developments
             11.2.4 SWOT Analysis
             11.2.5 MnM View
     11.3 Microsoft
             11.3.1 Business Overview
             11.3.2 Solutions Offered and Projects Undertaken
             11.3.3 Recent Developments
             11.3.4 SWOT Analysis
             11.3.5 MnM View
     11.4 Adobe
             11.4.1 Business Overview
             11.4.2 Products and Services Offered
             11.4.3 Recent Developments
             11.4.4 SWOT Analysis
             11.4.5 MnM View
     11.5 AWS
             11.5.1 Business Overview
             11.5.2 Services Offered
             11.5.3 Recent Developments
             11.5.4 SWOT Analysis
             11.5.5 MnM View
     11.6 Autodesk
             11.6.1 Business Overview
             11.6.2 Solutions Offered
             11.6.3 Recent Developments
             11.6.4 MnM View
     11.7 Jukedeck
             11.7.1 Business Overview
             11.7.2 Products Offered
             11.7.3 Recent Developments
     11.8 Humtap
             11.8.1 Business Overview
             11.8.2 Platforms Offered
             11.8.3 Recent Developments
     11.9 Amper Music
             11.9.1 Business Overview
             11.9.2 Solutions Offered
             11.9.3 Recent Developments
     11.10 Scriptbook
             11.10.1 Business Overview
             11.10.2 Solutions Offered
             11.10.3 Recent Developments
     11.11 B12
             11.11.1 Business Overview
             11.11.2 Products Offered
             11.11.3 Recent Developments
     11.12 The Grid
             11.12.1 Business Overview
             11.12.2 Products Offered
             11.12.3 Recent Developments
     11.13 Canva
             11.13.1 Business Overview
             11.13.2 Products Offered
             11.13.3 Recent Developments
     11.14 Hello Games
             11.14.1 Business Overview
             11.14.2 Products Offered
             11.14.3 Recent Developments
     11.15 Lumen5
             11.15.1 Business Overview
             11.15.2 Products Offered
             11.15.3 Recent Developments
     11.16 Skylum
             11.16.1 Business Overview
             11.16.2 Products Offered
             11.16.3 Recent Developments
     11.17 Logojoy
             11.17.1 Business Overview
             11.17.2 Products Offered
             11.17.3 Recent Developments
     11.18 Runway
             11.18.1 Business Overview
             11.18.2 Products Offered
             11.18.3 Recent Developments
     11.19 Aiva
             11.19.1 Business Overview
             11.19.2 Products Offered
             11.19.3 Recent Developments
     11.20 Prisma Labs
             11.20.1 Business Overview
             11.20.2 Products Offered
             11.20.3 Recent Developments
     11.21 Object AI
             11.21.1 Business Overview
             11.21.2 Solutions Offered
     11.22 Firedrop
             11.22.1 Business Overview
             11.22.2 Solutions Offered
     11.23 Obvious
             11.23.1 Business Overview
             11.23.2 Projects Undertaken
     11.24 Automated Creative
             11.24.1 Business Overview
             11.24.2 Products Offered
     11.25 Cyanapse
             11.25.1 Business Overview
             11.25.2 Products Offered

12 Appendix (Page No. - 146)
     12.1 Industry Experts
     12.2 Discussion Guide
     12.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     12.4 Available Customizations
     12.5 Related Reports
     12.6 Author Details


List of Tables (56 Tables)

Table 1 United States Dollar Exchange Rate, 2015–2017
Table 2 Global Market Size and Growth Rate, 2016–2023
Table 3 Computational Creativity Market Size, By Technology, 2016–2023 (USD Million)
Table 4 Natural Language Processing: Market Size By Region, 2016–2023 (USD Million)
Table 5 Machine Learning and Deep Learning: Market Size By Region, 2016–2023 (USD Million)
Table 6 Computer Vision: Market Size By Region, 2016–2023 (USD Million)
Table 7 Computational Creativity Market Size, By Component, 2016–2023 (USD Million)
Table 8 Solutions: Market Size By Region, 2016–2023 (USD Million)
Table 9 Software Tools Market Size, By Region, 2016–2023 (USD Million)
Table 10 Platforms Market Size, By Region, 2016–2023 (USD Million)
Table 11 Services: Market Size By Region, 2016–2023 (USD Million)
Table 12 Professional Services Market Size, By Region, 2016–2023 (USD Million)
Table 13 Managed Services Market Size, By Region, 2016–2023 (USD Million)
Table 14 Computational Creativity Market Size, By Application, 2016–2023 (USD Million)
Table 15 Marketing and Web Designing: Market Size By Region 2016–2023 (USD Million)
Table 16 Product Designing: Market Size By Region 2016–2023 (USD Million)
Table 17 Music Composition: Market Size By Region 2016–2023 (USD Million)
Table 18 Photography and Videography: Market Size By Region 2016–2023 (USD Million)
Table 19 High-End Video Gaming Development: Market Size By Region 2016–2023 (USD Million)
Table 20 Automated Story Generation: Market Size By Region 2016–2023 (USD Million)
Table 21 Others: Market Size By Region 2016–2023 (USD Million)
Table 22 Computational Creativity Market Size, By Region, 2016–2023 (USD Million)
Table 23 North America: Market Size By Component, 2016–2023 (USD Million)
Table 24 North America: Market Size By Solution, 2016–2023 (USD Million)
Table 25 North America: Market Size By Service, 2016–2023 (USD Million)
Table 26 North America: Market Size By Technology, 2016–2023 (USD Million)
Table 27 North America: Market Size By Application, 2016–2023 (USD Million)
Table 28 North America: Market Size By Country, 2016–2023 (USD Million)
Table 29 Europe: Computational Creativity Market Size, By Component, 2016–2023 (USD Million)
Table 30 Europe: Market Size By Solution, 2016–2023 (USD Million)
Table 31 Europe: Market Size By Service, 2016–2023 (USD Million)
Table 32 Europe: Market Size By Technology, 2016–2023 (USD Million)
Table 33 Europe: Market Size By Application, 2016–2023 (USD Million)
Table 34 Europe: Market Size By Country, 2016–2023 (USD Million)
Table 35 Asia Pacific: Computational Creativity Market Size, By Component, 2016–2023 (USD Million)
Table 36 Asia Pacific: Market Size By Solution, 2016–2023 (USD Million)
Table 37 Asia Pacific: Market Size By Service, 2016–2023 (USD Million)
Table 38 Asia Pacific: Market Size By Technology, 2016–2023 (USD Million)
Table 39 Asia Pacific: Market Size By Application, 2016–2023 (USD Million)
Table 40 Asia Pacific: Market Size By Country, 2016–2023 (USD Million)
Table 41 Middle East and Africa: Computational Creativity Market Size, By Component, 2016–2023 (USD Million)
Table 42 Middle East and Africa: Market Size By Solution, 2016–2023 (USD Million)
Table 43 Middle East and Africa: Market Size By Service, 2016–2023 (USD Million)
Table 44 Middle East and Africa: Market Size By Technology, 2016–2023 (USD Million)
Table 45 Middle East and Africa: Market Size By Application, 2016–2023 (USD Million)
Table 46 Middle East and Africa: Market Size By Country, 2016–2023 (USD Million)
Table 47 Latin America: Computational Creativity Market Size, By Component, 2016–2023 (USD Million)
Table 48 Latin America: Market Size By Solution, 2016–2023 (USD Million)
Table 49 Latin America: Market Size By Service, 2016–2023 (USD Million)
Table 50 Latin America: Market Size By Technology, 2016–2023 (USD Million)
Table 51 Latin America: Market Size By Application, 2016–2023 (USD Million)
Table 52 Latin America: Market Size By Country, 2016–2023 (USD Million)
Table 53 New Product/Service Launches and Product/Service Enhancements, 2015–2018
Table 54 Agreements and Partnerships, 2016–2018
Table 55 Acquisitions, 2015–2018
Table 56 Expansions, 2016–2018


List of Figures (44 Figures)

Figure 1 Global Computational Creativity Market: Research Design
Figure 2 Market Bottom-Up Approach
Figure 3 Market Top-Down Approach
Figure 4 Asia Pacific to Grow at the Highest CAGR During the Forecast Period
Figure 5 Computational Creativity Market Snapshot, By Component, 2018
Figure 6 Market Snapshot By Solution, 2018
Figure 7 Market Snapshot By Service, 2018
Figure 8 Market Snapshot By Technology, 2018
Figure 9 Market Snapshot By Application, 2018
Figure 10 Market Snapshot By Region
Figure 11 Increasing Demand for Automating Creative Tasks to Drive the Adoption of the Computational Creativity Market
Figure 12 Product Designing Application to Grow at the Highest CAGR During the Forecast Period
Figure 13 Marketing and Web Designing Application and North America to Have the Highest Market Shares in the Computational Creativity Market in 2018
Figure 14 North America to Register the Highest Market Share in 2018
Figure 15 Computational Creativity Market: Drivers, Restraints, Opportunities, and Challenges
Figure 16 Computational Creativity Process
Figure 17 Computer Vision Segment to Witness the Highest CAGR During the Forecast Period
Figure 18 Solutions Segment to Grow at A Higher CAGR During the Forecast Period
Figure 19 Platforms Segment to Grow at A Higher CAGR During the Forecast Period
Figure 20 Managed Services Segment to Grow at A Higher CAGR During the Forecast Period
Figure 21 Product Designing Application to Exhibit the Highest CAGR During the Forecast Period
Figure 22 Asia Pacific to Register the Highest CAGR During the Forecast Period
Figure 23 Japan to Register the Highest CAGR During the Forecast Period
Figure 24 North America to Account for the Largest Market Size in 2018
Figure 25 North America: Market Snapshot
Figure 26 North America: Computational Creativity Market, By Application
Figure 27 Product Designing Application to Grow at the Highest CAGR During Forecast Period
Figure 28 Asia Pacific: Market Snapshot
Figure 29 Product Designing Application to Grow at the Highest CAGR During Forecast Period
Figure 30 Product Designing Application to Grow at the Highest CAGR During Forecast Period
Figure 31 Product Designing Application to Grow at the Highest CAGR During Forecast Period
Figure 32 Key Developments By Leading Players in the Computational Creativity Market During 2015–2018
Figure 33 IBM, Led the Computational Creativity Market in 2018
Figure 34 IBM: Company Snapshot
Figure 35 SWOT Analysis: IBM
Figure 36 Google: Company Snapshot
Figure 37 SWOT Analysis: Google
Figure 38 Microsoft: Company Snapshot
Figure 39 SWOT Analysis: Microsoft
Figure 40 Adobe: Company Snapshot
Figure 41 SWOT Analysis: Adobe
Figure 42 AWS: Company Snapshot
Figure 43 SWOT Analysis: AWS
Figure 44 Autodesk: Company Snapshot


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